sdiUuid	shortName	title	topics	webmapViewer	webmapService	staticMapViewer	interactiveDataViewer	abstract	dataUrl	dataLatestVersion	isCoreFlag	indicatorCodes	indicatorTitle	indicatorUrl	indicatorFlag	legislativeInstrument	legislativeInstrumentUrl	legislativeInstrumentFlag	rod	rodUrl	rodFlag	managementPlan	thumbnailUrl	crs	publicationDate	contactPerson	inspireThemes	gemetConcepts	format	distributionFormat	fileSystemPath	spatialResolution	temporalCoverage	lineage	sdiUrl	tbegin	tend	timeSeriesAvailability	placesCovered	sdiUseLimitation	referenceFlag	contactOrganisation	isRestricted	associatedResources	sdiWlon	sdiElon	sdiSlat	sdiNlat	sdiCentroidLon	sdiCentroidLat	geoJsonPoly	geoJsonPoint	idpTopics	restApi	sdiDatasetId	dataProductID	status
f12aad33-8ef0-4b05-8fc1-04ec34690714	EIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units	WISE EIONET Spatial Datasets - PUBLIC VERSION - version 1.2, Sep. 2018	None	None	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2018-08-15. The information was reported to the European Environment Agency under the State of Environment reporting obligations. For the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive". Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f12aad33-8ef0-4b05-8fc1-04ec34690714.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water	aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Some additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. cYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5 country:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used. lat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) lon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) statusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information). statusDate: Date of reference for the status code (typically the date when the data was extracted for publication). remarks:Additional information about the status code of the superseding object, if any. qcCheck:Additional information about checks performed in the data. 2) Data sources Information reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013. Additional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting. For the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. 3) Data processing The EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. For EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f12aad33-8ef0-4b05-8fc1-04ec34690714	2001	2018	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer	eea_v_4326_250_k_wise-eionet_p_2001-2018_v01_r02	None	superseded
e9457773-8200-4a6e-a08c-e21ad6618537	WFD_2010	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.2, Sep. 2018	None	None	http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. For the relevant concepts please consult the metadata of the relevant child datasets.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9457773-8200-4a6e-a08c-e21ad6618537.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9457773-8200-4a6e-a08c-e21ad6618537	2010	2018	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer	eea_v_4326_250_k_wise-wfd2010_p_2010-2018_v01_r02	None	superseded
03a69768-78ef-4d6b-afac-a5e323365101	CDDA	Nationally designated areas (CDDA) polygons for public access - version 16, Nov. 2018	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDAv16_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information. The inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. The CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA). The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Two versions of the dataset are provided. The "CDDA_2018_v01_public_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. The full dataset ("CDDA_2018_v01_public") includes the entire geographical coverage including nationally designated areas in overseas entities. Both versions are provided in GDB and GPKG formats.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/03a69768-78ef-4d6b-afac-a5e323365101.png	EPSG:3035	2019-06-14	None	Protected sites	natural area|natural areas protection|protected area	vector	Geopackage|PGeo	None	1:100000	None	Production process is explained in the document CDDA_v16_2018.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/03a69768-78ef-4d6b-afac-a5e323365101	2017	2018	TRUE	Albania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/CDDAv16_Dyna_WM/MapServer	eea_v_3035_100_k_cdda-poly_p_2017-2018_v16_r00	None	superseded
c6d98fda-796e-40c0-b953-d716a8db1df5	CDDA	CDDA polygons for public access - version 15, Sept. 2017	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDAv15_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6d98fda-796e-40c0-b953-d716a8db1df5.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_15.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6d98fda-796e-40c0-b953-d716a8db1df5	2016	2017	TRUE	Albania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/CDDAv15_Dyna_WM/MapServer	eea_v_3035_100_k_cdda-poly-public_2017_rev15-0	None	superseded
c6faa0c9-c6e2-4a01-8676-c516dcb8f209	Marine_subregions	MSFD (Article 4) marine subregions - version 1, February 2017	None	None	http://marine.discomap.eea.europa.eu/arcgis/services/Marine/Marine_regions_subregions_v1/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which the following two are further divided into four subregions each: North-east Atlantic Ocean: o The Greater North Sea, including the Kattegat and the English Channel o The Celtic Seas o The Bay of Biscay and the Iberian Coast o Macaronesia Mediterranean Sea: o The Western Mediterranean Sea o The Adriatic Sea o The Ionian Sea and the Central Mediterranean Sea o The Aegean-Levantine Sea The present layer provides the spatial extent of these subregions, as agreed by the MSFD Committee in November 2016.	https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6faa0c9-c6e2-4a01-8676-c516dcb8f209.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Sea regions	marine environment|sea	vector	SHP	None	1:100000	None	The delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG’s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries. The inner boundary of all regions and subregions has used the “EEA coastline for analysis” available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available. The layer should be used on the following basis: a. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies. b. It provides the boundaries of the marine subregions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine subregions. The marine subregions layer is meant to depict the marine subregions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine subregion, in accordance with MSFD Article 2(1). c. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed. d. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.". e. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency. f. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, this MSFD layer should be updated. g. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the marine subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2). Finally, the following notes are relevant for the understanding of the layer: - The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_ACSo_1" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course. -The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_na_1" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area. The link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6faa0c9-c6e2-4a01-8676-c516dcb8f209	2010	2017	TRUE	Mediterranean Sea|Northeast Atlantic Ocean (40W)	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Marine	http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/Marine_regions_subregions_v1/MapServer	eea_v_4258_100_k_msfd-marine-subregions_2010-2017	None	superseded
92540373-d8ea-4d70-aa7d-0f58ecd4f67f	Marine_regions	MSFD (Article 4) marine regions - version 2, June 2017	None	None	http://marine.discomap.eea.europa.eu/arcgis/services/Marine/Marine_regions_subregions_v1/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), the following four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea. The present layer provides the spatial extent of these regions, as agreed by the MSFD Committee in November 2016.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d22b133d-b781-4b0d-914f-5b66f1911999.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Sea regions	marine environment|sea	vector	SHP	None	1:100000	None	The delineation of the marine regions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG’s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between marine regions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries. The inner boundary of all regions and subregions has used the “EEA coastline for analysis” available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available. The layer should be used on the following basis: a. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies. b. It provides the boundaries of the marine regions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine regions. The marine regions layer is meant to depict the marine regions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine region, in accordance with MSFD Article 2(1). c. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed. d. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.". e. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency. f. Notwithstanding the need to update the layer, the boundaries of the marine regions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2). Finally, the following note is relevant for the understanding of the layer: -The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them. The link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions-1	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92540373-d8ea-4d70-aa7d-0f58ecd4f67f	2010	2017	TRUE	Baltic Sea|Black Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	None	FALSE	None	None	None	None	None	None	None			Marine	http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/Marine_regions_subregions_v1/MapServer	eea_v_4258_100_k_msfd-marine-regions_2010-2017_rev02	None	superseded
52e9abc3-1085-46c2-b700-cd3bfc2c9146	Natura2000_2016	Natura 2000 (vector) - version 2016, Mar. 2017	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/EUNIS_Website_Dyna_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). The European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated. The descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated. The spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data. Any problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/52e9abc3-1085-46c2-b700-cd3bfc2c9146.png	EPSG:3035	2019-06-04	None	None	natural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/52e9abc3-1085-46c2-b700-cd3bfc2c9146	2016	2016	FALSE	Protected sites|EU28	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EUNIS_Website_Dyna_WM/MapServer	eea_v_3035_100_k_natura2000_2016	None	superseded
a8e1d56f-10af-4279-a0fc-d39ec1ca94a5	WFD_2016	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.2, Sep. 2018	None	None	http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. For the relevant concepts please consult the metadata of the relevant child datasets.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a8e1d56f-10af-4279-a0fc-d39ec1ca94a5.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	None	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a8e1d56f-10af-4279-a0fc-d39ec1ca94a5	2016	2018	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer	eea_v_4326_250_k_wise-wfd2016_p_2016-2018_v01_r02	None	superseded
bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa	Ecosystem_types	Ecosystem types of Europe based on EUNIS level 2 (raster 100m) - version 2.1, Dec. 2015	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/MAES/MAES_ecosystem_type_maps_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 2) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type. The data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). The objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. The MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.	https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Land cover	ecosystem|ecosystem type|environmental assessment|habitat|land cover	grid	GTiff	None	100m	None	The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment – Concept, Data, and Implementation. The basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bacb0dcd-dcb2-44a5-8b2c-4a569c5deafa	2006	2006	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/MAES/MAES_ecosystem_type_maps_WM/MapServer	eea_r_3035_100_m_ecosystem-types-l2_2006_rev2-1	None	superseded
1930b66c-18a1-4de8-834d-55bccf533646	Natura2000_2017	Natura 2000 (vector) - version 2017, Mar. 2018	None	None	None	None	None	Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). The European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated. The descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated. The spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data. Any problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1930b66c-18a1-4de8-834d-55bccf533646.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year. More information about the production of the European Natura 2000 database can be found in the document "Natura 2000 dataflow doc 2017.docx" available on https://www.eea.europa.eu/themes/biodiversity/document-library/natura-2000/the-natura-2000-data-flow/view.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1930b66c-18a1-4de8-834d-55bccf533646	2017	2017	FALSE	EU28	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000_Dyna_WM/MapServer	eea_v_3035_100_k_natura2000_2017	None	superseded
bbf5a08d-c41a-4f0a-9d04-e4a379460288	None	DEM over Europe from the GMES RDA project (EU-DEM, resolution 1 arcsec) - version 1, Oct. 2013	None	None	None	None	None	The Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra. Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 metre. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset divided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. These tiles have then been aggregated into 5°x5° tiles and mosaicked together into a single file by EEA. The vertical unit of this DSM is metre. The 5°x5° tiles are provided as GeoTIFF with LZW compression. The mosaic is provided as GeoTIFF with DEFLATE compression. Ownership of EU-DEM belongs to European Commission, DG Enterprise and Industry.	https://www.eea.europa.eu/data-and-maps/data/eu-dem	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbf5a08d-c41a-4f0a-9d04-e4a379460288.png	None	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	0.0002777777778deg	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbf5a08d-c41a-4f0a-9d04-e4a379460288	2000	2010	TRUE	Elevation|Hydrography	Access to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. The following credit must be displayed when using these data: Data funded under GMES preparatory action 2009 on Reference Data Access by the European Commission, DG Enterprise and Industry. Access and use of the data is made on the conditions that: 1. When distributing or communicating Copernicus data and information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://image.discomap.eea.europa.eu/arcgis/rest/services/Elevation/EUElev_DEM_V11/MapServer	entr_r_4258_1_arcsec_gsgrda-eudem-dem-europe_2012_rev1	None	obsolete
14b39136-b4f1-4e49-a8c2-6972471b026d	WFD_River_Basin_Districts_2016	WISE WFD river basin districts reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin districts delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14b39136-b4f1-4e49-a8c2-6972471b026d.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14b39136-b4f1-4e49-a8c2-6972471b026d	2016	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-river-basin-districts-wfd2016-internal_20160505-20170629_rev1	None	superseded
65d546c6-3577-4938-8322-5d95188779a1	EIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units	WISE EIONET Spatial Datasets - INTERNAL VERSION - version 1.2, Sep. 2018	None	None	None	None	None	The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2018-08-15. This data set is available only for internal use of the European Environment Agency and may contain objects that are deprecated (i.e. that have been retired or superseded) and objects were marked confidential by data providers. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Environment Agency under the State of Environment reporting obligations. For the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive". Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/65d546c6-3577-4938-8322-5d95188779a1.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water	aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Some additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. cYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5 country:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used. lat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) lon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) statusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information). statusDate: Date of reference for the status code (typically the date when the data was extracted for publication). remarks:Additional information about the status code of the superseding object, if any. qcCheck:Additional information about checks performed in the data. 2) Data sources Information reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013. Additional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting. For the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. 3) Data processing The EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. For EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/65d546c6-3577-4938-8322-5d95188779a1	2001	2018	TRUE	EEA39	The dataset contains parts which are restricted by the data providers and not to be made public.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-eionet_i_2001-2018_v01_r02	None	superseded
856d5e79-6096-463d-8079-eacaced1a044	WFD_Surface_Water_Body_2010	WISE WFD surface water bodies reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Relevant concepts: Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/856d5e79-6096-463d-8079-eacaced1a044.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/856d5e79-6096-463d-8079-eacaced1a044	2010	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-surface-water-bodies-wfd2010-internal_20100319-20170629_rev1	None	superseded
c6729b06-f4c5-414a-86ce-bf1bda306ff4	WFD_River_Basin_Districts_2010	WISE WFD river basin districts reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin districts delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. This dataset updates the information published in "WISE River basin districts (RBD) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c) Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6729b06-f4c5-414a-86ce-bf1bda306ff4.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6729b06-f4c5-414a-86ce-bf1bda306ff4	2010	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-river-basin-districts-wfd2010-internal_20100319-20170629_rev1	None	superseded
a09e401d-307f-41d6-8324-85ca6de13b00	WFD_Ground_Water_Body_2010	WISE WFD groundwater bodies reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. This dataset updates the information published in "WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07) Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a09e401d-307f-41d6-8324-85ca6de13b00.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Ground Water Body	aquifer|groundwater|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a09e401d-307f-41d6-8324-85ca6de13b00	2010	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-groundwater-bodies-wfd2010-internal_20100319-20170629_rev1	None	superseded
b8dce4d8-fadf-4c86-b298-c007265e9016	WFD_sub_units_2016	WISE WFD river basin district sub-units reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin district sub-units delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b8dce4d8-fadf-4c86-b298-c007265e9016.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b8dce4d8-fadf-4c86-b298-c007265e9016	2016	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-sub-units-wfd2016-internal_20160505-20170629_rev1	None	superseded
f9f17d81-04df-4aa5-bdcf-c06e114c39b4	WFD_sub_units_2010	WISE WFD river basin district sub-units reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin district sub-units delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The spatial data reported under the WFD reporting obligations includes river basin districts, sub-units, surface water bodies, groundwater bodies and monitoring sites. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. This dataset updates the information published in "WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf). Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9f17d81-04df-4aa5-bdcf-c06e114c39b4.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9f17d81-04df-4aa5-bdcf-c06e114c39b4	2007	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-sub-units-wfd2010-internal_20070311-20170630_rev1	None	superseded
f46fd608-98f5-4d2c-aac6-3316105f2c8b	WFD_Surface_Water_Body_2016	WISE WFD surface water bodies reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f46fd608-98f5-4d2c-aac6-3316105f2c8b.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	monitoring station|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f46fd608-98f5-4d2c-aac6-3316105f2c8b	2016	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-surface-water-bodies-wfd2016-internal_20160505-20170629_rev1	None	superseded
68bc857c-4710-423c-977a-3f6d58d7c021	WFD_Ground_Water_Body_2016	WISE WFD groundwater bodies reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/68bc857c-4710-423c-977a-3f6d58d7c021.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Ground Water Body	aquifer|groundwater|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68bc857c-4710-423c-977a-3f6d58d7c021	2016	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-groundwater-bodies-wfd2016-internal_20160505-20170629_rev1	None	superseded
f78beb69-bd26-4d53-b761-07fb05007d92	WISE_monitoring_sites_16	WISE WFD monitoring sites reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f78beb69-bd26-4d53-b761-07fb05007d92.png	EPSG:4326	2019-06-04	None	Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body	groundwater|monitoring station|surface water|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f78beb69-bd26-4d53-b761-07fb05007d92	2016	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-monitoring-sites-wfd2016-internal_20160505-20170629_rev1	None	superseded
e74c9c01-1196-4617-86d6-3aec385927e7	WISE_monitoring_sites_10	WISE WFD monitoring sites reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 1st River Basin Management Plans (RBMP). This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Relevant concepts: Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e74c9c01-1196-4617-86d6-3aec385927e7.png	EPSG:4326	2019-06-04	None	Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body	groundwater|monitoring station|surface water|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e74c9c01-1196-4617-86d6-3aec385927e7	2010	2017	TRUE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-monitoring-sites-wfd2010-internal_20100319-20170629_rev1	None	superseded
ee1b7182-79a7-4974-a9c2-ebca2352a132	EuroRegionalMap_2017	EuroRegionalMap (full European coverage) - version 11.1, Dec. 2017	None	None	None	None	None	EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. Thematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest. This metadata refers to the version 11.1 of ERM. For more information about the data product specifications and changes with respect to the previous version of this dataset (ERM v11 and ERMv10), please refer to the documents "ERM_v11-1_DataSpecification_EuroStat.pdf", "ERM_v11_TechnicalGuide.pdf" and "ERM(EC)_v11.1_Lineage_FullEurope.doc" provided with the dataset. Main changes with respect to these previous versions are that the NMCAs updated BND, HYDRO, MISC and NAME thematic layers, and that the Directorate-General for Mobility and Transport (DG MOVE) of the European Commission identified the Trans-European Transport Network for roads, railways, airports, ports and the watercourse system. This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under the "metadata" folder.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee1b7182-79a7-4974-a9c2-ebca2352a132.png	None	2019-06-04	None	Administrative units|Energy resources|Geographical names|Hydrography|Land cover|Land use|Mineral resources|Population distribution — demography|Production and industrial facilities|Protected sites|Soil|Transport networks|Utility and governmental services	administrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|waterfall|waterway	vector	FGeo|SHP	None	1:250000	None	For the lineage description of the full product, please see "ERM(EC)_v11.1_Lineage_FullEurope.doc" provided with the dataset under the folder "Metadata". For detailed information on the national contribution, please consult the documents "XX_ERM(EC)_v11_Lineage.doc" (where XX is the country acronym), under the subfolder "Countries" of the folder "Metadata".	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee1b7182-79a7-4974-a9c2-ebca2352a132	2017	2017	FALSE	Andorra|EFTA4|EU28|Faeroe Islands|Georgia|Isle of Man|Kosovo|Liechtenstein|Moldova|Monaco|North Macedonia|San Marino|Serbia|Vatican	The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. For spatial analysis and for mapping of results of these analysis. The license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.	FALSE	None	FALSE	None	None	None	None	None	None	None			Administrative_boundaries	None	eurogeographics_v_4258_250_k_erm-europe_i_2017_v11_r01	None	superseded
9c1dd142-7cf9-4213-950e-1083b5b02fff	Urban_waste_water	Urban Waste Water Treatment Directive, Treatment plants - version 4, Dec. 2012	None	None	None	None	None	This dataset includes data on individual waste water treatment plants and collecting systems without UWWTP, their localisation, capacity and actual load treated, type of treatment, aggregated data on the performance of plants. The table T_UWWTP_Agglo (uwwtd_uwwtp_agglo_v4.txt) is a connection table combining data on agglomeration and waste water treatment plants aloowing repoting of situations where the ratio agglomeration:UWWTP is 1:n or m:1.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c1dd142-7cf9-4213-950e-1083b5b02fff.png	EPSG:4326	2019-06-04	None	Production and industrial facilities	collective wastewater treatment|waste water discharge	vector	SHP	None	1:100000	None	Some records are reporting erroneous lat/long coordinates: when features are clearly erroneous, they are removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9c1dd142-7cf9-4213-950e-1083b5b02fff	2007	2011	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_100_k_uwwtd-tp_2007-2011_rev4	None	superseded
902787bb-a87c-42e6-b456-b41bc16c3f06	None	CDDA polygons for public access - version 12 revision 1, Nov. 2014	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDA_Dyna_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey. Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-9	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/902787bb-a87c-42e6-b456-b41bc16c3f06.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process of the internal version is explained in the document CDDA_version_12.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902787bb-a87c-42e6-b456-b41bc16c3f06	2013	2014	TRUE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2013_rev12-1	None	superseded
74421f48-e62d-411b-b01e-5466a2cb955a	None	CDDA polygons for public access - version 12, Oct. 2014	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/CDDA_Dyna_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Some features are missing from this dataset that should therefore not be used. An updated version has been released on 20/11/2014. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey. Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74421f48-e62d-411b-b01e-5466a2cb955a.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process of the internal version is explained in the document CDDA_version_12.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74421f48-e62d-411b-b01e-5466a2cb955a	2013	2014	TRUE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2013_rev12	None	superseded
5c8e945b-7a8d-4eca-b62f-6af53689d2af	None	Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2025, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	Atmospheric conditions	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c8e945b-7a8d-4eca-b62f-6af53689d2af	2011	2040	TRUE	ClimWatAdapt|agriculture|irrigation|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
61fa0fb4-1f51-45b2-9834-90d0cb2e61d7	None	Cooling water stress during low flow conditions (ClimWatAdapt project, baseline)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Ratio of cooling water abstractions to Q90 for ClimWatAdapt baseline.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	Atmospheric conditions	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61fa0fb4-1f51-45b2-9834-90d0cb2e61d7	1961	1990	TRUE	ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
9fa23e51-a965-43d4-b118-01448eecd7e8	None	Risk of losses in power production by hydroelectric dams (ClimWatAdapt project, 2025)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Reservoir stations are located below reservoirs and depend on the volume and on the difference in height between the source and the water's outflow. Changes in quantity and timing of river runoff, together with increased reservoir evaporation will have a number of effects on the production of hydroelectric power. As we have no information on dams and reservoirs, we analysed the impact of climate change on seasonal water availability on a river basin level, i.e. for winter (DJF) and summer (JJA) months. Especially the winter water storage is seen to be important. There are 5 classes to describe the risk of losses in power production:1. high risk: winter availability and summer availability decrease (>5%) 2. medium risk: winter availability decreases and summer availability increases3. low risk: winter availability increases and summer availability decreases4. very low: winter availability and summer availability increase5. ambiguous: no or small changes (+/- 5%)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	Atmospheric conditions	water	None	unknown	None	None	None	not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9fa23e51-a965-43d4-b118-01448eecd7e8	2011	2040	TRUE	ClimWatAdapt|electricity|hydropower|infrastructure|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
0ea4d63e-5d99-45a9-8e11-9791da0fa724	None	Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2025, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2025,SCENES scenario Sustainability Eventually (SuE).The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0ea4d63e-5d99-45a9-8e11-9791da0fa724	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
3058990c-a73f-4391-8d09-8c0a004b7806	None	Relative area of NUTS2-units affected by severe droughts (ClimWatAdapt project, 2025)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Share of NUTS-2 area affected by a severe drought event for 2025.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	To evaluate how the magnitude of minimum flows may be affected by climate change the 7-day minimum flows are considered at several recurrence intervals (10, 20 and 50 years). The 7-day minimum flow period eliminates the day-to-day variations in river flow. It is obtained by moving an averaging window with an interval of 7 days over the discharge time series. For each year, the minimum was extracted from the smoothed discharge time series, resulting in a sample of 30 yearly minima for each period. To estimate the probability of extreme low river flows a Generalized Extreme Value (GEV) distribution (Coles, 2001; Katz et al., 2002) was fitted to the annual minimum values in every river cell using Maximum Likelihood estimation. More details on the methodology can be found in Feyen and Dankers (2009).The indicators for evaluating vulnerability to droughts are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). Here, river discharges calculated by LISFLOOD are reduced by water consumption, which were computed with WaterGAP. The ensemble median builds the basis for the hydrological information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3058990c-a73f-4391-8d09-8c0a004b7806	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|droughts|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
3f2b3f39-5b25-44f9-91e0-f674bad84de5	None	Cooling water stress during low flow conditions (ClimWatAdapt project, 2025, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2025, SCENES scenario Sustainability Eventually (SuE)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f2b3f39-5b25-44f9-91e0-f674bad84de5	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
ac1a5ed2-7254-46e6-b611-b5f8f94f96da	None	Risk of losses in power production by hydroelectric dams (ClimWatAdapt project, 2050)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Reservoir stations are located below reservoirs and depend on the volume and on the difference in height between the source and the water's outflow. Changes in quantity and timing of river runoff, together with increased reservoir evaporation will have a number of effects on the production of hydroelectric power. As we have no information on dams and reservoirs, we analysed the impact of climate change on seasonal water availability on a river basin level, i.e. for winter (DJF) and summer (JJA) months. Especially the winter water storage is seen to be important. There are 5 classes to describe the risk of losses in power production:1. high risk: winter availability and summer availability decrease (>5%) 2. medium risk: winter availability decreases and summer availability increases3. low risk: winter availability increases and summer availability decreases4. very low: winter availability and summer availability increase5. ambiguous: no or small changes (+/- 5%)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac1a5ed2-7254-46e6-b611-b5f8f94f96da	2041	207	FALSE	Atmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
fc32a5a7-0c3b-4f97-b851-5dec83a125c7	None	Vulnerability of the hydropower sector, run-of-river power plants approach (ClimWatAdapt project, 2050)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Run-of-river power plants are built in the rivers rely on the river discharge for being operational. In the context of the WFD, a “Good Ecological Status” has to be achieved, which means for this type of stations that the residual flow must equal the minimum water requirements for aquaticecosystems (Stigler et al. 2005). Here, we use the concept of Q95 for the residual flow and set the baseline Q95-value to be the threshold for the future. Future Q95 is then compared to the baseline value (= threshold) and assigned to another flow rate (Q90). The assessment is performed according to three classes: 1. no risk if Q95 (2050) > Q95 (baseline)2. medium risk if Q95 (2050) < Q95 (baseline) and Q90 (2050) > Q95 (baseline)3. high risk if Q95 (baseline) > Q90 (2050).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc32a5a7-0c3b-4f97-b851-5dec83a125c7	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
1f0fcb49-fb4f-4913-8a1c-1824b604ec4a	None	Cooling water stress during low flow conditions (ClimWatAdapt project, 2050, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2050,SCENES scenario Sustainability Eventually (SuE)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f0fcb49-fb4f-4913-8a1c-1824b604ec4a	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
a281ca9b-dea7-48ef-b451-cf233038b5f6	None	Maintenance of environmental minimum flows, summer (ClimWatAdapt project, baseline)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt baseline.The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a281ca9b-dea7-48ef-b451-cf233038b5f6	1961	1990	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
a07d9fa1-b9f5-46d9-9da6-e1eb132558c9	None	Cooling water stress during low flow conditions (ClimWatAdapt project, 2050, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2050, SCENES scenario Economy First (EcF).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a07d9fa1-b9f5-46d9-9da6-e1eb132558c9	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
4aa88c41-8d69-490d-aa0a-5a7139c496fa	None	Annual average water stress (ClimWatAdapt project, 2025 SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4aa88c41-8d69-490d-aa0a-5a7139c496fa	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
5a1b428a-3df0-407b-9acf-e0f99bcd750d	None	Annual average water stress (ClimWatAdapt project, 2050, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Annual average water stress indicator WEI on river basin level for 2050, SCENES scenario Sustainability Eventually (SuE). A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a1b428a-3df0-407b-9acf-e0f99bcd750d	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
cce734d2-f60a-434a-8e9b-1aa961e9ff3e	None	Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2025, SUE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cce734d2-f60a-434a-8e9b-1aa961e9ff3e	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
fc791542-38ca-41a1-abde-ef5884cf8f16	None	Water stress, summer (ClimWatAdapt project, 2025, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc791542-38ca-41a1-abde-ef5884cf8f16	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
2ace53f3-0a1b-42f3-8f4d-1bf42cc6e818	None	Vulnerability of the hydropower sector, run-of-river power plants approach (ClimWatAdapt project, 2025)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Run-of-river power plants are built in the rivers rely on the river discharge for being operational. In the context of the WFD, a “Good Ecological Status” has to be achieved, which means for this type of stations that the residual flow must equal the minimum water requirements for aquaticecosystems (Stigler et al. 2005). Here, we use the concept of Q95 for the residual flow and set the baseline Q95-value to be the threshold for the future. Future Q95 is then compared to the baseline value (= threshold) and assigned to another flow rate (Q90).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2ace53f3-0a1b-42f3-8f4d-1bf42cc6e818	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|electricity|hydropower|infrastructure|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
090b5d85-9d39-40d3-841f-fe3c02540446	None	Annual average water stress (ClimWatAdapt project, 2025 EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/090b5d85-9d39-40d3-841f-fe3c02540446	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
91d58a95-ba4b-4aae-b191-d80a9f52d761	None	Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2050, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91d58a95-ba4b-4aae-b191-d80a9f52d761	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
18c9e0d9-a8dc-4041-96ce-5271c630088a	None	Relative area of NUTS2-units affected by floods (ClimWatAdapt project, 2050)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Relative area of NUTS2-units affected by floods for 2050.Percentage of NUTS-2 area affected by 100-year flood event in the 2050s. Median of ensemble flood results as calculated by LISFLOOD.One of the most frequently used indicators for large floods is the discharge of a 100-year flood, defined as a flood that statistically returns once in 100 years. 100-year floods are extreme flood events, causing especially high economical damage. Therefore, the public interest is high in information about future changes in the magnitude of 100-year floods or in the frequency of what is currently a 100-year flood. Further, this indicator is frequently used for the dimensioning of flood protection works.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The indicators for evaluating vulnerability to floods are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). To enhance the robustness and informative value of expected climate change impacts on flood hazards in Europe, this study aims at providing an assessment based on an ensemble of hydrological model results calculated by LISFLOOD. Here, the model was forced by 11 GCMRCM climate projections representing the SRES A1B emissions scenario. Then the 100-years flood indicator for large flood events is calculated: For each year, the maximum discharge is selected from the discharge time series. This results in a set of 30 maximum values for each time period, through which a Gumbel distribution is fitted using Maximum Likelihood estimation. Based on the fitted Gumbel distribution flood discharges are derived for the 100-year return interval and future recurrence intervals are derived of a current 100-year flood. More details on the methodology can be found in Dankers and Feyen (2008, 2009). The ensemble median builds the basis for the hydrological information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18c9e0d9-a8dc-4041-96ce-5271c630088a	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|floods|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
4a6d0d4c-8940-4d4b-863b-2225f760d677	None	Change in Q95 (%) on NUTS2-level (ClimWatAdapt project, 2050)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Relative change in low flow parameter Q95 as compared to baseline conditions calculated as(Q95(future) - Q95(baseline)) / Q95(baseline)*100%Q95 is defined as the flow equalled or exceeded 95% of the time. The introductions of Q95 as minimum water requirements for aquatic ecosystems can be seen to be important, e.g., fish ecologists focused particularly on the protection of low flows.Currently, the natural flow regime is being modified at many rivers by anthropogenic activities such as river regulation, channelization, water abstractions and land-use changes. An additional threat is climate change, which may severely alter river hydrology over large regional scales in the future. Increasing temperatures will cause a reduction in runoff due to higher evapotranspiration values and changing precipitation amounts and patterns lead to lower or higher runoff in the future (IPCC 2007). The methodology applied to estimate the future status of environmental flows follows the recommendation from Acreman et al. (2008) to use Q95 as minimum flow for maintaining healthy aquatic ecosystems, as this is a critical threshold where no abstractions out of the river are allowed in UK.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	1) Calculation of Q95 for all hydrological scenarios for the baseline and 2025s on a NUTS-2 level2) Comparison of future Q95 to baseline conditions. We carried out the calculation on NUTS-2 levelinstead of river basin level because we do not consider the water that is available but the riverdischarge at a NUTS border.3) Classification according to the directions of change	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a6d0d4c-8940-4d4b-863b-2225f760d677	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
89353ad5-debf-4bb5-9157-e7e90b002416	None	Relative area of NUTS2-units affected by floods (ClimWatAdapt project, 2025)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Relative area of NUTS2-units affected by floods for 2025.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The indicators for evaluating vulnerability to floods are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). To enhance the robustness and informative value of expected climate change impacts on flood hazards in Europe, this study aims at providing an assessment based on an ensemble of hydrological model results calculated by LISFLOOD. Here, the model was forced by 11 GCMRCM climate projections representing the SRES A1B emissions scenario. Then the 100-years flood indicator for large flood events is calculated: For each year, the maximum discharge is selected from the discharge time series. This results in a set of 30 maximum values for each time period, through which a Gumbel distribution is fitted using Maximum Likelihood estimation. Based on the fitted Gumbel distribution flood discharges are derived for the 100-year return interval and future recurrence intervals are derived of a current 100-year flood. More details on the methodology can be found in Dankers and Feyen (2008, 2009). The ensemble median builds the basis for the hydrological information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89353ad5-debf-4bb5-9157-e7e90b002416	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|floods|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
34a2f590-196f-4a84-997d-79a775ecac25	None	Water stress, summer (ClimWatAdapt project, 2025, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2025, SCENES scenario Economy First (EcF).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34a2f590-196f-4a84-997d-79a775ecac25	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
acbed825-24fe-463b-ac6d-f48921f3eb34	None	Ratio of irrigation water consumption to water availability (ClimWatAdapt project, 2050, SUE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE).In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acbed825-24fe-463b-ac6d-f48921f3eb34	2041	2070	TRUE	Atmospheric conditions|Bio-geographical regions|ClimWatAdapt|agriculture|irrigation|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
a02c2bd9-e7bc-47f7-a5db-bd9006aba982	None	Water stress, summer (ClimWatAdapt project, 2050, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Sustainability Eventually (SuE). In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a02c2bd9-e7bc-47f7-a5db-bd9006aba982	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
48300160-7c4d-42e4-8224-81c1b4877b60	None	Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2050, SuE)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2050, SCENES scenario Sustainability Eventually (SuE).The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48300160-7c4d-42e4-8224-81c1b4877b60	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
df9b8b8f-bf58-40c6-b54c-4e7233e652bd	None	Change in Q95 (%) on NUTS2-level (ClimWatAdapt project, 2025)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Relative change in low flow parameter Q95 as compared to baseline conditions calculated as(Q95(future) - Q95(baseline)) / Q95(baseline)*100%Q95 is defined as the flow equalled or exceeded 95% of the time. The introductions of Q95 as minimum water requirements for aquatic ecosystems can be seen to be important, e.g., fish ecologists focused particularly on the protection of low flows.Currently, the natural flow regime is being modified at many rivers by anthropogenic activities such as river regulation, channelization, water abstractions and land-use changes. An additional threat is climate change, which may severely alter river hydrology over large regional scales in the future. Increasing temperatures will cause a reduction in runoff due to higher evapotranspiration values and changing precipitation amounts and patterns lead to lower or higher runoff in the future (IPCC 2007). The methodology applied to estimate the future status of environmental flows follows the recommendation from Acreman et al. (2008) to use Q95 as minimum flow for maintaining healthy aquatic ecosystems, as this is a critical threshold where no abstractions out of the river are allowed in UK.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	1) Calculation of Q95 for all hydrological scenarios for the baseline and 2050s on a NUTS-2 level2) Comparison of future Q95 to baseline conditions. We carried out the calculation on NUTS-2 levelinstead of river basin level because we do not consider the water that is available but the riverdischarge at a NUTS border.3) Classification according to the directions of change	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df9b8b8f-bf58-40c6-b54c-4e7233e652bd	2011	2011	FALSE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
c0ceebc6-da8a-4fa6-830e-8f9a920545aa	None	Relative area of NUTS2-units affected by severe droughts (ClimWatAdapt project, 2050)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Share of NUTS-2 area affected by a severe drought event for 2050.In this study, a severe drought event in the 2050s is defined as a 50-years drought event under baseline conditions that is expected to occur every 10 years in the future (2050s)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	To evaluate how the magnitude of minimum flows may be affected by climate change the 7-day minimum flows are considered at several recurrence intervals (10, 20 and 50 years). The 7-day minimum flow period eliminates the day-to-day variations in river flow. It is obtained by moving an averaging window with an interval of 7 days over the discharge time series. For each year, the minimum was extracted from the smoothed discharge time series, resulting in a sample of 30 yearly minima for each period. To estimate the probability of extreme low river flows a Generalized Extreme Value (GEV) distribution (Coles, 2001; Katz et al., 2002) was fitted to the annual minimum values in every river cell using Maximum Likelihood estimation. More details on the methodology can be found in Feyen and Dankers (2009).The indicators for evaluating vulnerability to droughts are based on the hydrological simulations and statistical analysis provided by JRC (Annex 3). Here, river discharges calculated by LISFLOOD are reduced by water consumption, which were computed with WaterGAP. The ensemble median builds the basis for the hydrological information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0ceebc6-da8a-4fa6-830e-8f9a920545aa	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|droughts|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
31ea524e-e8a1-4ec6-b86d-46762e2f244a	None	Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2025, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2025, SCENES scenario Economy First (EcF)The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31ea524e-e8a1-4ec6-b86d-46762e2f244a	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
f177e851-07de-4625-a26c-38d3b0678375	None	Ratio of irrigation water consumption to water availability (ClimWatAdapt project, baseline)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for ClimWatAdapt baseline.In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f177e851-07de-4625-a26c-38d3b0678375	1961	1990	TRUE	Atmospheric conditions|ClimWatAdapt|agriculture|irrigation|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
c0f6cd29-5296-47d8-8593-dfbd0b95249c	None	Water stress, summer (ClimWatAdapt project, 2050, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for 2050, SCENES scenario Economy First (EcF). In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f6cd29-5296-47d8-8593-dfbd0b95249c	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
04048cab-5fdb-4dcf-9fd5-84704627fdfb	None	Maintainance of environmental minimum flows, summer (ClimWatAdapt project 2050, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Maintenance of the environmental minimum water requirements (environmental flows) for ClimWatAdapt, 2050, SCENES scenario Economy First (EcF)The assessment is performed according to three classes:Env. Flows depleted = residual flow equals 0-100% of baseline Q95Env. Flows at risk = residual flow is 2-4 times larger than baseline Q95Env. Flows maintained= residual flow is more than four times larger than baseline Q95	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/04048cab-5fdb-4dcf-9fd5-84704627fdfb	2041	2070	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
423f5f89-a415-4f03-bf98-54bc71c160fe	None	Cooling water stress during low flow conditions (ClimWatAdapt project, 2025, EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Ratio of cooling water abstractions to Q90 for ClimWatAdapt, 2025, SCENES scenario Economy First (EcF).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	Not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/423f5f89-a415-4f03-bf98-54bc71c160fe	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|water management	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
90c71a9b-603e-49ff-aecc-ff2f33c1aa78	None	Annual average water stress (ClimWatAdapt project, 2025 EcF)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Annual average water stress indicator WEI on river basin level for 2025, SCENES scenario Economy First (EcF).A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/90c71a9b-603e-49ff-aecc-ff2f33c1aa78	2011	2040	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
72a091bf-274c-46ac-9903-dbb4d2f0c5ca	None	Annual average water stress (ClimWatAdapt project, base line)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Annual average water stress indicator WEI on river basin level for ClimWatAdapt baseline. A water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. WEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4medium water stress, and a value greater than 0.4 severe water stress. This variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability. Annual WEI is calculated on a river basin level for the baseline and the 2050s. Here, baseline conditions are defined as water availability averaged over the climate normal period 1961-90 and water withdrawals for the year 2005. For the 2050s, water availability is averaged over the period 2041-2070 (2050s) and calculated as the median of the hydrological simulations. Total water withdrawals are represented by two different socio-economic scenarios, the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The water withdrawals are calculated by WaterGAP, and results for the SCENES scenarios “Economy First” (EcF) and “Sustainability Eventually” (SuE) are selected (Annex 3). Water availability is computed as the median of an ensemble of LISFLOOD simulations driven by climate projections of 11 different GCM-RCM combinations (see Annex 3, Table 1) for the period 2041-2070 (representing 2050s). The climate projections are taken from the ENSEMBLES project and are based on the SRES A1B scenario (Annex 3).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72a091bf-274c-46ac-9903-dbb4d2f0c5ca	1961	1990	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
f60e9c30-e269-430a-807a-a49434bdf3ab	None	Water stress, summer (ClimWatAdapt project, base line)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	The ratio of irrigation water consumption to water availability during June, July and August for ClimWatAdapt baseline.In order to assess the vulnerability of the agricultural sector to climate change, the indicator “irrigation consumption-to-water availability” (c.t.a.) is introduced. Irrigation consumption refers to the part of the irrigation water that is really “consumed” by the crops and evapotranspirates (net irrigation requirements).The amount of water used for irrigation has been calculated for the base year based on the baseline climate (1961-90). It must be noted that the future irrigation water requirements were calculated within SCENES, i.e. the climate change input differs from the climate data used in the ClimWatAdapt framework because another emission scenario and different GCM output were applied. The assessment is performed on the river basin level for average annual conditions as well as for the summer season (JJA). This indicator does not consider the reduction of natural flow by upstream consumptive use, thus the water resources are only available for irrigation.By using this indicator, it is assumed that a drainage basin suffers from severe water stress if c.t.a. > 0.3 or, in other words, if irrigation consumption exceeds 40% of reliable annual (or seasonal) water availability. A c.t.a. below 0.3 indicates low to mid water stress. The thresholds are chosen arbitrarily but have been derived from EEA (2003) which shows a figure for the water consumption index ranging from (almost) zero to 30% in Europe. According to EEA (2003), the average water consumption index in Europe is 3%.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	water	None	unknown	None	None	None	The annual water consumption for irrigation is modelled by WaterGAP. The water consumption for irrigation during June, July and August is calculated by dividing the annual water consumption for irrigation by 4. The water availability during June, July and August is modelled by LISFLOOD.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f60e9c30-e269-430a-807a-a49434bdf3ab	1961	1990	TRUE	Atmospheric conditions|ClimWatAdapt|WEI|water management|water stress	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	874ddad6f8afb1f8024d806b603d55c341e458db	None	completed
717b42bc-2302-404d-b9c5-6efabf711dd5	None	Potential physical impact (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	coastal storm|inundation depth|river flood|sea level rise	None	unknown	None	None	None	Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/717b42bc-2302-404d-b9c5-6efabf711dd5	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	C15BC717_CBE3_CF68_719E_F0606E8E6D88	None	completed
4beb1475-7488-4fac-b82b-920600a8cf28	None	Change in regional exposure to river flooding between 1961-1990 and 2071-2100 (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Inundation depth changes due to climate induced changes in river flooding. Calculated by comparing the LISFLOOD model's 1961 - 1990 and 2071 - 2100 projections for a 100 year return event based on climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	Calculated by comparing the LISFLOOD model's 1961 - 1990 and 2071 - 2100 projections for a 100 year return event based on climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4beb1475-7488-4fac-b82b-920600a8cf28	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
34200209-d918-4dcd-a48e-dea86c6ff37a	None	Change in annual mean temperature between 1961-1990 and 2071-2100 (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Change in annual mean temperature in 2 metres above surface. Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34200209-d918-4dcd-a48e-dea86c6ff37a	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
f440cef9-a466-42b6-9ead-e8d60fcf5226	None	Change in annual mean precipitation in summer months between 1961-1990 and 2071-2100 (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Relative change in annual mean precipitation in meteorological summer months (June - August) Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f440cef9-a466-42b6-9ead-e8d60fcf5226	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
7dadc7df-77bb-46b5-941c-335d96ba628b	None	Change in exposure to coastal flooding between 1961-1990 and 2071-2100 (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Inundation depth changes due to a sea level rise adjusted coastal storm surge event. Calculated on the basis of regional coastal storm surge heights projected by the DIVA model for a 100 year return event and heightened by a 1m sea level rise.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	not available	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7dadc7df-77bb-46b5-941c-335d96ba628b	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
9886105b-73d4-4d94-ba2f-b4e2a6fc1f1c	None	Change in annual mean number of days with snow cover between 1961-1990 and 2071-2100 (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Change in annual mean number of days with snow covering the surface in the reference area. Climatic changes derived from comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	Climatic changes derived from comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9886105b-73d4-4d94-ba2f-b4e2a6fc1f1c	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
390e4dc7-4195-46eb-bcae-846534d80929	None	Change in annual mean number of summer days between 1961-1990 and 2071-2100 (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Change in annual mean number of summer days with maximum air temperature above 25 degrees Celcius. Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	Climatic changes derived from a comparison of 1961 - 1990 and 2071 - 2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/390e4dc7-4195-46eb-bcae-846534d80929	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
3abec868-7f3b-43ff-b6a6-1117f7b114f4	None	European climate change regions (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Regions with similar climate change characteristics. Climate change regions derived from a cluster analysis of eight climate change variables (change in annual mean temperature, summer days, frost days, snow cover days, winter precipitation, summer precipitation, heavy rainfall days and annual mean evaporation). Climatic Changes calculated on the basis of a comparison of 1961 - 1990 and 2071 - 2100 climate projections from the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	EPSG:4258	2019-06-04	None	None	None	None	unknown	None	None	None	Climate change regions derived from a cluster analysis of eight climate change variables (change in annual mean temperature, summer days, frost days, snow cover days, winter precipitation, summer precipitation, heavy rainfall days and annual mean evaporation). Climatic Changes calculated on the basis of a comparison of 1961 - 1990 and 2071 - 2100 climate projections from the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3abec868-7f3b-43ff-b6a6-1117f7b114f4	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	e6fe540a76d09ce4acff2346a810e09c00f6cb74	None	completed
3eab7abb-9645-431e-8039-bb8f9ef67417	None	Potential cultural impact (ESPON climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined potential impacts of changes in inundation depths of a 100 year river flood event and a sea level rise adjusted 100 year coastal storm surge event on registered World Heritage sites and museums. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Fluvial inundation depths changes calculated by comparing 1961-1990 and 207102100 projections of the LISFLOOD model based on climate projections by the CCLM model for the IPCC SRES A1B scenario. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Fluvial inundation depths changes calculated by comparing 1961-1990 and 207102100 projections of the LISFLOOD model based on climate projections by the CCLM model for the IPCC SRES A1B scenario. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3eab7abb-9645-431e-8039-bb8f9ef67417	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	350BCE5A_1F18_CBF7_5B0F_8750A1E61393	None	completed
7331db55-cecf-48a1-bad3-6e0d404bb2b8	None	Impact of summer heat on 2100 population (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Impacts of changes in summer days above 25oC on heat sensitive population in urban heat islands, using DEMIFER population projections for the year 2100. Impacts calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Impacts calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Using DEMIFER population projections for the year 2100	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7331db55-cecf-48a1-bad3-6e0d404bb2b8	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	F3EA8F39_4130_9364_B2BA_37052BA3D3A6	None	completed
96d86a62-6532-47ef-910e-14546c450064	None	Potential economic impact (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/96d86a62-6532-47ef-910e-14546c450064	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	E590A1D6_B4D9_FF48_FD22_05E93F521730	None	completed
eab43e93-477a-4846-9d22-c2a6cf4a0981	None	Potential vulnerability of European regions to climate change (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Vulnerability calculated as the combination of regional potential impacts of climate change and regional capacity to adapt to climate change. The potential impacts were calculated as a combination of regional exposure to climate change (difference between 1961-1990 and 2071-2100 climate projections of eight climatic variables of the CCLM model for the IPCC SRES A1B scenario as well as the resulting inundation depth changes for a 100 year return flood event based on river flooding projections of the LSFLOOD model and coastal storm surge =height projections of the DIVA model adjusted with a 1 m sea level rise and most recent data on the weighted dimensions of physical, economic, social, environmental and cultural sensitivity to climate change. Adaptive capacity was calculated as a weighted combination of most recent data on economic, infrastructural, technological and institutional capacity as well as knowledge and awareness of climate change.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Vulnerability calculated as the combination of regional potential impacts of climate change and regional capacity to adapt to climate change. The potential impacts were calculated as a combination of regional exposure to climate change (difference between 1961-1990 and 2071-2100 climate projections of eight climatic variables of the CCLM model for the IPCC SRES A1B scenario as well as the resulting inundation depth changes for a 100 year return flood event based on river flooding projections of the LSFLOOD model and coastal storm surge =height projections of the DIVA model adjusted with a 1 m sea level rise and most recent data on the weighted dimensions of physical, economic, social, environmental and cultural sensitivity to climate change. Adaptive capacity was calculated as a weighted combination of most recent data on economic, infrastructural, technological and institutional capacity as well as knowledge and awareness of climate change.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eab43e93-477a-4846-9d22-c2a6cf4a0981	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	E849CB99_5FC0_5869_0C4C_0E64FE1FD7DA	None	completed
a365c693-823a-459a-9598-d105bdff9635	None	Potential social impact (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined potential impacts of change in inundation depths of a 100 year river flood and a sea level rise adjusted 100 year coastal storm event as well as changes in flash flood potential and summer heat on population. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario. Fluvial inundation depths changes based on LISFLOOD projections. Regional coastal storm surge heights projected by DIVA model were adjusted with 1 m sea level rise.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a365c693-823a-459a-9598-d105bdff9635	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	26F778F4_6299_A518_521B_AB54E1D8055A	None	completed
1685dda7-62e8-44e4-9795-f2cc6de831e7	None	Aggregate potential impact of climate change (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Weighted combination of physical (weight 0.19), environmental (weight 0.31), economic (weight 0.24) and cultural (weight 0.1) potential impacts of climate change. Weights are based on a Delphi survey of the ESPON Monitoring Committee. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Weighted combination of physical (weight 0.19), environmental (weight 0.31), economic (weight 0.24) and cultural (weight 0.1) potential impacts of climate change. Weights are based on a Delphi survey of the ESPON Monitoring Committee. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1685dda7-62e8-44e4-9795-f2cc6de831e7	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	42E99B5D_EC16_2C90_275A_214BCC031CC6	None	completed
f3169f77-e4f5-4b38-948f-fe5acdb6cfa4	None	Potential environmental impact (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined potential impacts of changes in summer and winter precipitation, heavy rainfall days, annual mean temperature, summer days, frost days, snow cover days and annual mean evaporation on soil erosion, soil organic content, protected natural areas and forest fire sensitivity. Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Impact calculated as combination of regional exposure to climatic changes and recent data on regional sensitivity. Climatic changes derived from a comparison of 1961-1990 and 2071-2100 climate projections by the CCLM model for the IPCC SRES A1B scenario.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f3169f77-e4f5-4b38-948f-fe5acdb6cfa4	2071	2100	TRUE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	FCBBBFDA_1036_D80B_1051_A0A9BA56FF00	None	completed
08a617bb-1ee9-4543-acee-20ec980fcbd6	None	Response capacity of European regions in regard to climate (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	A total of 15 indicators was used to calculate the adaptive capacity index, while 10 indicators were used for the mitigative capacity index. The indices are calculated as weighted averages of normalized indicator values.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	A total of 15 indicators was used to calculate the adaptive capacity index, while 10 indicators were used for the mitigative capacity index. The indices are calculated as weighted averages of normalized indicator values.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08a617bb-1ee9-4543-acee-20ec980fcbd6	None	None	FALSE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4FDD2BC6_F7CE_9B81_11E7_CE5B91BE89BD	None	completed
5e5147d5-6789-4d40-8f5a-0953b48c3661	None	Economic sensitivity (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Combined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e5147d5-6789-4d40-8f5a-0953b48c3661	None	None	FALSE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	853ED59F_63E6_F5AF_EA47_892B2F51EA30	None	completed
c0f4f7f9-9ccd-4e81-b486-245d0b1799b6	None	Environmental sensitivity (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Combined sensitivity to climate change of agriculture, forestry, summer and winter tourism, energy supply and demand. Regional sensitivities calculated on the basis of most recent statistical data.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f4f7f9-9ccd-4e81-b486-245d0b1799b6	None	None	FALSE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	1A463B87_EF04_D7DA_ABFB_935EF875C8C5	None	completed
1ab879a3-c785-431b-85fc-2200db6b78d3	None	Social sensitivity (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined sensitivity to climate change of population in river flooding prone areas, in coastal storm surge prone areas, population prone to flash floods and heat sensitive population in urban heat islands. Regional sensitivities calculated on the basis of most recent statistical data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Combined sensitivity to climate change of population in river flooding prone areas, in coastal storm surge prone areas, population prone to flash floods and heat sensitive population in urban heat islands. Regional sensitivities calculated on the basis of most recent statistical data.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1ab879a3-c785-431b-85fc-2200db6b78d3	None	None	FALSE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	C19E403A_F216_844D_A5A4_E3AF8ADA45CD	None	completed
4613fcb7-6b71-40b7-abcb-19188c44ae37	None	Physical sensitivity (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined sensitivity to climate change of settlements, major roads, railways, airports, harbours, thermal power stations and refineries. Regional sensitivities calculated on the basis of most recent statistical data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Combined sensitivity to climate change of settlements, major roads, railways, airports, harbours, thermal power stations and refineries. Regional sensitivities calculated on the basis of most recent statistical data.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4613fcb7-6b71-40b7-abcb-19188c44ae37	None	None	FALSE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	96E4060C_3DB3_0B0E_8AED_70CBA7F7BD5B	None	completed
230df202-bc0a-4a04-b768-ed975cb8face	None	Cultural sensitivity (ESPON Climate project)	None	None	http://climate-adapt.eea.europa.eu/geoserver/wms?SERVICE=WMS&	None	None	Combined sensitivity to climate change of cultural World Heritage sites and museums. Regional sensitivities calculated on the basis of most recent statistical data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	None	None	2019-06-04	None	None	None	None	unknown	None	None	None	Combined sensitivity to climate change of cultural World Heritage sites and museums. Regional sensitivities calculated on the basis of most recent statistical data.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/230df202-bc0a-4a04-b768-ed975cb8face	None	None	FALSE	Atmospheric conditions	No conditions apply	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4FD29435_0A3D_DEBD_5DDD_7A996D9556AB	None	completed
e8498d84-2a5b-466c-9686-c4824680e6b6	None	EEA coastline for analysis (polygon) - version 1.0, Jun. 2013	None	None	None	None	None	The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. This dataset is a polygon usable as a water-land mask.	https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8498d84-2a5b-466c-9686-c4824680e6b6.png	EPSG:3035	2019-06-04	None	Sea regions	coast	vector	SHP	None	1:100000	None	Polygon: the polygon was derived from the parent dataset by adding two straight lines, one North-to-South, at the East-most part of the parent dataset, and the second one West-to-East, at the South–most part of the parent dataset. These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool “Feature to Polygon”.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8498d84-2a5b-466c-9686-c4824680e6b6	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_coastline-anal-poly_1995-2012_rev01	None	superseded
6060e5ce-6958-48a0-9815-8f806c807351	None	EEA coastline for analysis (line) - version 1.0, Jun. 2013	None	None	None	None	None	The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. This dataset consists of one single line for the whole coastline.	https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6060e5ce-6958-48a0-9815-8f806c807351.png	EPSG:3035	2019-06-04	None	Sea regions	coast	vector	SHP	None	1:100000	None	Dissolve: in order to create a coastline of one single line, first a field is added to the parent dataset (coastline raw), and the same value is set for all the features; the feature class is then dissolved using that field	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6060e5ce-6958-48a0-9815-8f806c807351	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_coastline-anal-line_1995-2012_rev01	None	superseded
8c454b03-f804-4bcd-b496-ac859375fef8	None	CDDA polygons for public access - version 11, Jul. 2013	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey. Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c454b03-f804-4bcd-b496-ac859375fef8.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c454b03-f804-4bcd-b496-ac859375fef8	None	None	FALSE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2012_rev11	None	superseded
036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a	None	CDDA points for public access - version 11, Jul. 2013	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey. Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-8	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP	None	1:100000	None	In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/036fa9b5-31de-46d8-b7eb-bd7b2d4dd96a	None	None	FALSE	Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Estonia|Montenegro|Slovenia|Sweden|the North Macedonia	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-point-public_2012_rev11	None	superseded
d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e	None	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.2, Sep. 2018	None	None	None	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. For the relevant concepts please consult the metadata of the relevant child datasets.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4a7f8c7-40b5-4ebd-ac1c-a282e3af949e	None	None	FALSE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-wfd2010_i_2010-2018_v01_r02	None	superseded
ce876c49-e1c8-446c-9133-ff04c17d2417	None	EEA coastline for analysis (raw) - version 2.0, Jun. 2015	None	None	None	None	None	The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce876c49-e1c8-446c-9133-ff04c17d2417.png	EPSG:3035	2019-06-04	None	Sea regions	coast	vector	SHP	None	1:100000	None	The EEA coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce876c49-e1c8-446c-9133-ff04c17d2417	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_coastline-anal-raw_1995-2012_rev02	None	superseded
1c0f429b-debb-403c-a457-3eebcf5d3272	None	CDDA polygons for internal use - version 11, Jul. 2013	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey. Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c0f429b-debb-403c-a457-3eebcf5d3272.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c0f429b-debb-403c-a457-3eebcf5d3272	None	None	FALSE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia	EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey. Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2012_rev11	None	superseded
c8d83fff-d35e-4bed-9afd-92e40ebe09d4	None	WISE WFD monitoring sites reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 2nd River Basin Management Plans (RBMP). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c8d83fff-d35e-4bed-9afd-92e40ebe09d4.png	EPSG:4326	2019-06-04	None	Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body	groundwater|monitoring station|surface water|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c8d83fff-d35e-4bed-9afd-92e40ebe09d4	None	None	FALSE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-monitoring-sites-wfd2016-public_20160505-20170629_rev1	None	superseded
3f046d90-bfdc-4801-b514-a00c48981e0e	None	WISE WFD surface water bodies reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f046d90-bfdc-4801-b514-a00c48981e0e.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	monitoring station|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f046d90-bfdc-4801-b514-a00c48981e0e	None	None	FALSE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-surface-water-bodies-wfd2016-public_20160505-20170629_rev1	None	superseded
543afa4c-ca30-423b-a0a5-0c9043485bf1	None	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.2, Sep. 2018	None	None	None	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. For the relevant concepts please consult the metadata of the relevant child datasets.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/543afa4c-ca30-423b-a0a5-0c9043485bf1.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/543afa4c-ca30-423b-a0a5-0c9043485bf1	None	None	FALSE	EU28|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2018-09-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-wfd2016_i_2016-2018_v01_r02	None	superseded
571e270d-4b42-45f2-a29a-84260f6df506	None	Nationally designated areas (CDDA) polygons for internal use - version 16, Nov. 2018	None	None	None	None	None	The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information. The inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. The CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA). The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom. Two versions of the dataset are provided. The "CDDA_2018_v01_internal_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. The full dataset ("CDDA_2018_v01_internal") includes the entire geographical coverage including nationally designated areas in overseas entities. Both versions are provided in GDB and GPKG formats. NOTE: EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Therefore, this data set is available only for internal use of the European Environment Agency. The public version dataset is available with the title "Nationally designated areas (CDDA) polygons for public access - version 16, Nov. 2018", which is derived from this dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/571e270d-4b42-45f2-a29a-84260f6df506.png	EPSG:4326	2019-06-14	None	Protected sites	natural area|natural areas protection|protected area	vector	FGeo|Geopackage	None	1:100000	None	Production process is explained in the document CDDA_v16_2018.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/571e270d-4b42-45f2-a29a-84260f6df506	2017	2018	TRUE	EEA39	The dataset contains parts which are restricted by the data providers and not to be made public. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly_i_2017-2018_v16_r00	None	superseded
534b663d-8724-44c7-97ae-d33746207ce6	None	CDDA polygons for internal use - version 12, Oct. 2014	None	None	None	None	None	Some features are missing from this dataset that should therefore not be used. An updated version has been released on 20/11/2014. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey. Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/534b663d-8724-44c7-97ae-d33746207ce6.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_12.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/534b663d-8724-44c7-97ae-d33746207ce6	2013	2014	TRUE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia	EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey. Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2013_rev12	None	superseded
3d560854-4b19-414d-9dba-cd58b9c231ba	None	WISE WFD surface water bodies reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European surface water bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Relevant concepts: Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3d560854-4b19-414d-9dba-cd58b9c231ba.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Coastal Water|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3d560854-4b19-414d-9dba-cd58b9c231ba	2010	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-surface-water-bodies-wfd2010-public_20100319-20170629_rev1	None	superseded
4cd9d1d5-2c86-4475-ac8d-7913594e4cde	None	WISE WFD groundwater bodies reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. This dataset updates the information published in "WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07) Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4cd9d1d5-2c86-4475-ac8d-7913594e4cde.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Ground Water Body	aquifer|groundwater|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4cd9d1d5-2c86-4475-ac8d-7913594e4cde	2010	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-groundwater-bodies-wfd2010-public_20100319-20170629_rev1	None	superseded
c721adec-aae3-49f6-aecc-09368bfb7b8a	None	CDDA polygons for internal use - version 12 revision 1, Nov. 2014	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey. Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c721adec-aae3-49f6-aecc-09368bfb7b8a.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_12.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c721adec-aae3-49f6-aecc-09368bfb7b8a	2013	2014	TRUE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Serbia|the North Macedonia	EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Turkey. Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2013_rev12-1	None	superseded
53c161cf-235b-4647-9200-446b60c5f59c	None	CDDA polygons for internal use - version 15, Sept. 2017	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53c161cf-235b-4647-9200-446b60c5f59c.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_15.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53c161cf-235b-4647-9200-446b60c5f59c	2016	2017	TRUE	EEA39	EEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2017_rev15	None	superseded
85a07445-0031-4e56-a7e2-d268d2af058f	None	WISE WFD river basin districts reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin districts delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. This dataset updates the information published in "WISE River basin districts (RBD) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c) Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a07445-0031-4e56-a7e2-d268d2af058f.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/85a07445-0031-4e56-a7e2-d268d2af058f	2010	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-river-basin-districts-wfd2010-public_20100319-20170629_rev1	None	superseded
72d1276b-d390-4e14-ad09-dcc796ec0677	None	WISE WFD river basin district sub-units reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin district sub-units delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The spatial data reported under the WFD reporting obligations includes river basin districts, sub-units, surface water bodies, groundwater bodies and monitoring sites. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. This dataset updates the information published in "WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011" (http://sdi.eea.europa.eu/internal-catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf). Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/72d1276b-d390-4e14-ad09-dcc796ec0677.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72d1276b-d390-4e14-ad09-dcc796ec0677	2007	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-sub-units-wfd2010-public_20070311-20170630_rev1	None	superseded
3d8d581f-28ed-4611-a811-dbbdf31e74cc	None	WISE WFD river basin districts reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin districts delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3d8d581f-28ed-4611-a811-dbbdf31e74cc.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3d8d581f-28ed-4611-a811-dbbdf31e74cc	2016	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-river-basin-districts-wfd2016-public_20160505-20170629_rev1	None	superseded
d9ecde45-9e59-47de-a61d-69cc9f41d04c	None	CDDA polygons for internal use - version 14, Dec. 2016	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e47ccfcf-5ae6-4541-bd4e-efe99c73be82.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_14.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9ecde45-9e59-47de-a61d-69cc9f41d04c	2015	2016	TRUE	EEA39	EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2015_rev14-0	None	superseded
8f74e086-3bb0-4bcb-82b0-f3136f74b19e	None	WISE WFD river basin district sub-units reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European river basin district sub-units delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f74e086-3bb0-4bcb-82b0-f3136f74b19e.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|River Basin	river basin|river basin management|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f74e086-3bb0-4bcb-82b0-f3136f74b19e	2016	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-sub-units-wfd2016-public_20160505-20170629_rev1	None	superseded
8a42ea63-a9d2-413d-9e48-730a6824b000	None	WISE WFD groundwater bodies reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a42ea63-a9d2-413d-9e48-730a6824b000.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|WFD Ground Water Body	aquifer|groundwater|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing Refer to the Technical Report which accompanies the data set for further information. 4) Data quality No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. Refer to the Data Quality report of the CDR deliveries (http://rod.eionet.europa.eu/obligations/717/deliveries) for further information. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a42ea63-a9d2-413d-9e48-730a6824b000	2016	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-groundwater-bodies-wfd2016-public_20160505-20170629_rev1	None	superseded
2d0c4aad-85ee-476e-b58e-8a89cd3d5430	None	CDDA points for internal use - version 11, Jul. 2013	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey. Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d0c4aad-85ee-476e-b58e-8a89cd3d5430.png	EPSG:3035	2019-06-04	None	Protected sites	natural area|natural areas protection|protected area	vector	SHP	None	1:100000	None	In 2013 for inclusion into version 11 of the ECDDA; 30 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2013, which was extracted from the previous CDDA dataset, version 10.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d0c4aad-85ee-476e-b58e-8a89cd3d5430	2012	2013	TRUE	Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Estonia|Montenegro|Slovenia|Sweden|the North Macedonia	EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia and Turkey. Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-point-internal_2012_rev11	None	superseded
73a2ddf6-cad4-4d2e-aed7-49a42555d01f	None	WISE WFD monitoring sites reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.0, Jul. 2017	None	None	None	None	None	The dataset contains information on the European monitoring sites used for the assessment of the status of surface water bodies and groundwater bodies in the 1st River Basin Management Plans (RBMP). The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Relevant concepts: Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/73a2ddf6-cad4-4d2e-aed7-49a42555d01f.png	EPSG:4326	2019-06-04	None	Environmental monitoring facilities|Surface Water|WFD Ground Water Body|WFD Surface Water Body	groundwater|monitoring station|surface water|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report which accompanies the data set the full list of CDR data sets. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/73a2ddf6-cad4-4d2e-aed7-49a42555d01f	2010	2017	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Italy|Latvia|Luxembourg|Malta|Netherlands|Poland|Portugal|Romania|Slovakia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2017-07-14.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-monitoring-sites-wfd2010-public_20100319-20170629_rev1	None	superseded
94c5c72e-29dd-4e3e-a721-a2552d50f497	None	High Resolution Layer: Tree Cover Density 2012 (raster 100m), Mar. 2016	None	None	None	None	None	Tree Cover Density (TCD) 2012 is a European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. Copernicus Initial Operations 2011-2013 Land Monitoring Services European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. The TCD maps the degree (0-100% per pixel) of tree cover density without a minimum mapping unit (MMU), but with a minimum mapping width (MMW) of 20m. The included features are: 1) Evergreen/non-evergreen broad-leaved, sclerophyllous and coniferous trees; 2) Orchards, olive groves, fruit and other tree plantations, agro-forestry areas, forest nurseries, regeneration and transitional woodlands; 3) Alleys, wooded parks and gardens; 4) Groups of trees within urban areas; 5) Forest management/use features inside forests (forest roads, fire-breaks, thinning, etc.) and forest damage features inside forests (partially burnt areas, storm damage, insect-infested damage, etc.) are included if tree cover can be detected from the 20m imagery. Accordingly, included features are all detectable trees, independent of use. The calibration of the TCD values is being improved as part of the 2015 production, and the 2012 TCD status layer will be updated and replaced by a new version to be published in early 2018 (together with the 2015 status layer, and a new 2012-2015 change product). The production of the Tree Cover Density (TCD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94c5c72e-29dd-4e3e-a721-a2552d50f497.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration|tree	grid	GTiff	None	100m	None	The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided High Resolution satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94c5c72e-29dd-4e3e-a721-a2552d50f497	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_tcd_2011-2012	None	obsolete
313c0c3a-c177-4198-a7de-09b7f6ac3a9d	None	EuroRegionalMap (full European coverage) - version 10.0, Jan. 2017	None	None	None	None	None	EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries Hydrography Miscellaneous Named Location Settlement Transportation Vegetation and Soil Points of Interests	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/313c0c3a-c177-4198-a7de-09b7f6ac3a9d.png	None	2019-06-04	None	Administrative units|Geographical names|Hydrography|Land cover|Sea regions|Soil|Transport networks|Utility and governmental services	administrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|railway station|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|water body|waterfall|waterway	vector	FGeo	None	1:250000	None	ERM(EC)_v10.0_Lineage_FullEurope.doc	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/313c0c3a-c177-4198-a7de-09b7f6ac3a9d	None	None	FALSE	Andorra|EFTA4|EU27|Faeroe Islands|Georgia|Isle of Man|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Vatican	License for further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_250_k_erm-europe_i_2016_v10_r00	None	superseded
bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1	None	EuroBoundaryMap - version 11, Jan. 2017	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. The product EBM v11 is a full update of all countries. More details are available in EBM_v11_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1.png	None	2019-06-04	None	Administrative units	administrative boundary|national boundary|sub-national boundary	vector	FGeo	None	1:100000	None	Please refer to the documents EBM_v11_QualityReport.pdf and EBM_v11_Changes.pdf under EuroBoundaryMap_v11/Descriptions_Metadata	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbee0e27-0b11-4ce4-ad73-7dba3c2a70a1	None	None	FALSE	Albania|Bosnia and Herzegovina|EFTA4|EU28|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine	License For further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm_i_2016_v11_r00	None	superseded
802300f9-4b37-41e3-8990-813ce01a3fb3	None	EuroBoundaryMap - version 12, Jan. 2018	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. This metadata refers to the version 12 of EBM, which is a full update of all the countries. For more information about the data product specifications and changes with respect to the previous version of this dataset (EBM v11), please refer to the documents EBM_v12_Specification.pdf, EBM_v12_TechnicalGuide.pdf and EBM_v12_Changes.pdf provided with the dataset (Documents.zip) This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the "Resource Constraints" elements of this metadata file and on the document "LicenseConditions.pdf" provided with this dataset. This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset ("Metadata_EBM_v12.xml" within the "Descriptions_Metadata.zip")	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/802300f9-4b37-41e3-8990-813ce01a3fb3.png	None	2019-06-04	None	Administrative units|Geographical names|Population distribution — demography|Statistical units	administrative boundary|national boundary|sub-national boundary	vector	FGeo|SHP	None	1:100000	None	Delivered separately for each national contribution. Please refer to the documents "XX_Lineage_EBM_v12.pdf" (where XX is the country acronym), stored under each corresponding country folder in "Descriptions_Metadata.zip" provided together with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/802300f9-4b37-41e3-8990-813ce01a3fb3	None	None	FALSE	Albania|Bosnia and Herzegovina|EFTA4|EU28|Europe|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine	The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data.For spatial analysis and for mapping of results of these analysis. The license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm_i_2017_v12_r00	None	superseded
85a5772c-d86c-4d39-bb0a-6140a8486a1b	None	EuroRegionalMap (full European coverage) - version 9.0, Jan. 2016	None	None	None	None	None	EuroRegionalMap v9.0 is a pan-European dataset containing topographic information at the scale 1:250 000 covering: 27 EU member states (excluding Croatia), 4 EFTA states (Liechtenstein, Norway, Iceland, Switzerland), Republic of Moldova, Serbia, Kosovo and Georgia. It is a seamless and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Settlements, Transport, Points of Interests, Named Location, Miscellaneous, Vegetation and Soil.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/85a5772c-d86c-4d39-bb0a-6140a8486a1b.png	None	2019-06-04	None	Administrative units|Hydrography|Population distribution — demography|Sea regions|Soil|Transport networks	administrative boundary|airport|artificial lake|built environment|built-up area|car park|coast|dam|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|in situ|inland water|international watercourse|lake|maritime transport|national boundary|railway|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|vegetation|water (geographic)|water body|waterfall|waterway	vector	FGeo	None	1:250000	None	See ERM(EC)_v90_Lineage.doc	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/85a5772c-d86c-4d39-bb0a-6140a8486a1b	None	None	FALSE	Andorra|Bosnia and Herzegovina|EFTA4|EU27|Georgia|Kosovo|Moldova|Monaco|Montenegro|North Macedonia|Serbia	Please refer to the documents GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf and Data_Request_Form_EuroGeographics.doc under ERM9/Licence.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_250_k_erm-europe_i_2015_v09_r00	None	superseded
39e6a1fb-5217-4e22-ab2e-68d50d11faeb	None	LandScan Global Population Database - version 15, Jul. 2014	None	None	None	None	None	Using an innovative approach with Geographic Information Systems and Remote Sensing, ORNL’s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available and represents an “ambient population” (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. Purpose: LandScan Global was developed for the U.S. Department of Defense and is used for rapid consequence and risk assessment as well as emergency planning and management. Detailed information are to be found in cover_letter_ls13.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/39e6a1fb-5217-4e22-ab2e-68d50d11faeb.png	EPSG:4326	2019-06-04	None	Population distribution — demography	demography|population density|population distribution	grid	AIG	None	1km	None	Detailed information are to be found in cover_letter_ls13.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2013.htm.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39e6a1fb-5217-4e22-ab2e-68d50d11faeb	None	None	FALSE	Global|Population|Population count|people|world-wide|World	License. Terms and conditions of use are available in the file License.pdf	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ornl_g_4326_30_arcsec_landscan_2013_rev15	None	completed
42a795d9-a082-4269-9f7c-0002d4bd9a4a	None	Urban Atlas - Hungary - Kecskemét	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/42a795d9-a082-4269-9f7c-0002d4bd9a4a.png	None	2019-06-04	None	Land use	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50752550707310949121B0 (PS) (Date: 2007/07/31) * Spot 5 2,50 m - 50772550607070932512B3 (PS) (Date: 2006/07/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42a795d9-a082-4269-9f7c-0002d4bd9a4a	None	None	FALSE	Hungary|Kecskemét	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu008l_kecskemet_2006-2007	None	obsolete
bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a	None	Urban Atlas - Poland - Radom	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a.png	None	2019-06-04	None	Land use	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394006 (PS) (Date: 2005/09/09) * Spot 5 2,50 m - 00186394007 (PS) (Date: 2005/09/09) * Spot 5 2,50 m - 00186394008 (PS) (Date: 2005/09/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb67a4a9-cb83-49cf-b4e0-b9056bd6e07a	None	None	FALSE	Poland|Radom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl025l_radom_2005	None	obsolete
bd214bd1-f3bc-4369-899b-bda331b94432	None	GISCO - Nomenclature of Territorial Units for Statistics 2016 (NUTS) - PRE-RELEASE VERSION, Jan. 2018	None	None	None	None	None	This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2016. This metadata only refers to a pre-release version of the full nuts 2016 dataset at 100k (it does not contain Albanian boundaries) and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2016.xml) is also available for download together with the dataset. The public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd214bd1-f3bc-4369-899b-bda331b94432.png	None	2019-06-04	None	Statistical units	statistical information system	vector	FGeo	None	1:100000	None	This dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels (1M, 3M, 10M, 20M, 60M, here not provided) were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level. In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd214bd1-f3bc-4369-899b-bda331b94432	None	None	FALSE	EFTA4|EU28|Montenegro|North Macedonia|Turkey	The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document "GISCO-LicenseconditionsforEGdatasets.pdf" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_100_k_gisco-nuts_2016	None	obsolete
a89237bb-cc29-4cbb-81a6-b009d072da70	None	Urban Atlas - Netherlands - Nijmegen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a89237bb-cc29-4cbb-81a6-b009d072da70.png	None	2019-06-04	None	Land use	land use|urban area	vector	SHP	None	1:10000	None	Compiled from thousands of pictures from European satellites, Urban Atlas provides sufficient coverage for detailed and cost-effective mapping of larger urban zones, yielding accurate land cover and usage data. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments. More than 300 major cities in the EU will be covered by early 2011. More details can be found in the Mapping Guide (see website).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a89237bb-cc29-4cbb-81a6-b009d072da70	None	None	FALSE	Netherlands|Nijmegen	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl013l_nijmegen	None	obsolete
61e01978-57d2-41fe-907f-503b5567f979	None	Biogeographical regions, Europe 2011, rev. 1	None	None	None	None	None	The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention). The structure of the attribute table has been changed in this revised version. The mapping from old field names to new ones is as follows: NAME -> short_name ABBRE -> pre_2012 code -> code label -> name	https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61e01978-57d2-41fe-907f-503b5567f979.png	EPSG:3035	2019-06-04	None	None	biodiversity	vector	SHP	None	1:10000000	None	Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network. Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden. The scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are poorer, i.e. 1:10 000 000.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61e01978-57d2-41fe-907f-503b5567f979	None	None	FALSE	Bio-geographical regions	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_mio_biogeo-regions_2011_rev01	None	superseded
d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9	None	CDDA polygons for public access - version 13, Nov. 2015	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-10	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9.png	EPSG:3035	2019-06-04	None	None	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process of the internal version is explained in the document CDDA_version_13.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d8ca6b33-64c2-454a-aaa0-bb218a9e9ec9	None	None	FALSE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Protected sites|Serbia|the North Macedonia	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2014_rev13-0	None	superseded
47142840-45c7-4e23-a497-c6fc4fd84a48	None	EEA coastline for analysis (raw) - version 1.0, Jun. 2013	None	None	None	None	None	The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the requirement for EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. The creation process was focused on generating the coastline as line dataset and, later, as a secondary product, defining the polygon layer sea-land. The fundamental step into the workflow was the selection of sea features using a water mask polygon (value in EUHYDRO datasets = 255). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. This dataset consists of a series of contiguous coastal segments. The source of each of them (EUDEM, GSHHG...) is available as attribute.	https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/47142840-45c7-4e23-a497-c6fc4fd84a48.png	EPSG:3035	2019-06-04	None	None	coast	vector	SHP	None	1:100000	None	The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the required extension of EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. For that reason the the GSHHG dataset is an input for the process which allow to populate the EUHYDRO shapefile. The creation process was focused on generate the coastline as line datasets and, later, as secondary product, defining the polygon layer sea-land. Thank reiterative processes based on conversion (from water mask of EUHYDRO to polygon), selection, dissolving and conversion (to line) tools, it was possible to obtain a continuous and homogeneous coastline. The fundamental step into the workflow was the selection of sea features using the water mask polygon (with 255 value into EUHYDRO datasets). The inland water bodies (freshwaters) are rejected by this criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). The patchwork coastline has been subjected to quality assessment based on evaluate the degree of coverage and topological errors.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47142840-45c7-4e23-a497-c6fc4fd84a48	None	None	FALSE	Europe|Sea regions	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_coastline-anal-raw_1995-2012_rev01	None	superseded
7e98455f-8bcd-4162-85ed-2770c28112b3	None	CDDA polygons for public access - version 14, Dec. 2016	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-11	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e98455f-8bcd-4162-85ed-2770c28112b3.png	EPSG:3035	2019-06-04	None	None	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_14.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e98455f-8bcd-4162-85ed-2770c28112b3	None	None	FALSE	Protected sites|Albania|Bosnia and Herzegovina|EU28|Iceland|Kosovo|Liechtenstein|Montenegro|North Macedonia|Norway|Serbia|Switzerland	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2016; "©Finnish Environment Institute, 2016".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2015_rev14-0	None	superseded
548f9a25-2488-4d86-949e-0a286515eba8	None	Zones in relation to EU air quality thresholds in 2010 - version 1, August 2012	None	None	None	None	None	Member States provide an annual assessment of air quality in comparison to EU air quality thresholds. Commission Decision 2004/461/EC provides a questionnaire to be used by the Member States for the annual reporting under the Framework Directive and the related four Daughter Directives 1999/30/EC, 2000/69/EC, 2002/3/EC and 2004/107/EC. Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead. More information about EU air quality standards is available on the DG Environment web site at http://ec.europa.eu/environment/air/quality/standards.htm. Pursuant to Article 22 of Directive 2008/50/EC, Member States may notify to the Commission when in their opinion the conditions are met in a given zone or agglomeration for postponing the attainment deadline for the limit values for nitrogen dioxide and benzene, or for being exempt from the limit values for PM10. More information is available at: http://ec.europa.eu/environment/air/quality/legislation/time_extensions.htm . Additional information is available in The annual technical overview and analysis of the reports submitted by Member States (http://acm.eionet.europa.eu/databases/aq-questionnaire/annual_reports_aqq.html). Zones are designated for the following pollutants: B – Benzene; BaP – Benzo(a)pyrene; C – Carbon Monoxide; L – lead; AsCdNi – Heavy metals: Arsenic, Cadmium, Nickel; NH – Nitrogen Dioxide for human protection; NV – NOx for vegetation protection; O – ozone; PM10 – particulate matter less than 10 microgrammes; PM25 – particulate matter less than 2.5 microgrammes; SE – SO2 for ecosystems protection; SH – SO2 for human protection.	https://www.eea.europa.eu/data-and-maps/data/zones-in-relation-to-eu-air-quality-thresholds-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/548f9a25-2488-4d86-949e-0a286515eba8.png	EPSG:4326	2019-06-04	None	None	air quality management	vector	Spatialite	None	1:1000000	None	Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead. Data is reported under Annual report (questionnaire) on air quality assessment and management (2004/461/EC) [http://rod.eionet.europa.eu/obligations/389] National deliveries can be found at http://cdr.eionet.europa.eu/recent_etc?RA_ID=389 ETC-ACM assembles the European dataset from them. Feedback to countries following QA can be seen at the same location.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/548f9a25-2488-4d86-949e-0a286515eba8	None	None	FALSE	Area management/restriction/regulation zones and reporting units	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_1_mio_zones-aq-thresholds_2010	None	superseded
0c989ad0-0613-4383-95fa-c06c0266e0fb	None	EEA coastline for analysis (line) - version 2.0, Sep. 2015	None	None	None	None	None	The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). This dataset consists of one single line for the whole coastline.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c989ad0-0613-4383-95fa-c06c0266e0fb.png	EPSG:3035	2019-06-04	None	None	coast	vector	SHP	None	1:100000	None	Dissolve: in order to create a coastline of one single line, first a field is added to the parent dataset (coastline raw), and the same value is set for all the features; the feature class is then dissolved using that field	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c989ad0-0613-4383-95fa-c06c0266e0fb	None	None	FALSE	Europe|Sea regions	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_coastline-anal-line_1995-2012_rev02	None	superseded
b9f13118-4ef4-4ffd-9c95-4e902477edb2	None	AirBase: Validated measurements of the concentration of air pollutants 1969-2010 - version 6, Feb. 2012	None	None	None	None	None	AirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe. The air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements. The database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe. All pollutants might not be monitored at all stations.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9f13118-4ef4-4ffd-9c95-4e902477edb2.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound	vector	Text	None	1:10000	None	- Countries deliver to Reportnet/CDR. - ETC runs standard checks and provides feedback in CDR. - Countries possibly redeliver. - ETC compiles a European dataset and delivers it to EEA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9f13118-4ef4-4ffd-9c95-4e902477edb2	None	None	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_10_k_airbase-validated-meas_1969-2010_rev6	None	obsolete
a7a50c4e-dd45-40a7-9445-95e8f76ad90a	None	EEA coastline for analysis (polygon) - version 2.0, Sep. 2015	None	None	None	None	None	The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [link not available - yet] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [will become available from EEA website]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). This dataset is a polygon usable as a water-land mask.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a7a50c4e-dd45-40a7-9445-95e8f76ad90a.png	EPSG:3035	2019-06-04	None	None	coast	vector	SHP	None	1:100000	None	Polygon: the polygon was derived from the parent dataset by adding two straight lines, one North-to-South, at the East-most part of the parent dataset, and the second one West-to-East, at the South–most part of the parent dataset. These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool “Feature to Polygon”.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a7a50c4e-dd45-40a7-9445-95e8f76ad90a	None	None	FALSE	Europe|Sea regions	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_coastline-anal-poly_1995-2012_rev02	None	superseded
cc27629a-351c-460f-9c99-12ef57774d4e	None	AirBase: Validated measurements of the concentration of air pollutants 1969-2011 - version 7, Mar. 2013	None	None	None	None	None	AirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe. The air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements. The database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe. All pollutants might not be monitored at all stations.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc27629a-351c-460f-9c99-12ef57774d4e.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound	vector	Text	None	1:10000	None	- Countries deliver to Reportnet/CDR. - ETC runs standard checks and provides feedback in CDR. - Countries possibly redeliver. - ETC compiles a European dataset and delivers it to EEA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc27629a-351c-460f-9c99-12ef57774d4e	None	None	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_10_k_airbase-validated-meas_1969-2011_rev7	None	obsolete
e47ccfcf-5ae6-4541-bd4e-efe99c73be82	None	CDDA polygons for internal use - version 13, Nov. 2015	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e47ccfcf-5ae6-4541-bd4e-efe99c73be82.png	EPSG:3035	2019-06-04	None	None	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Production process is explained in the document CDDA_version_13.pdf available together with the data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e47ccfcf-5ae6-4541-bd4e-efe99c73be82	None	None	FALSE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Montenegro|Protected sites|Serbia|the North Macedonia	EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Romania and Turkey. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 02.03.2015"; "©Finnish Environment Institute, 2015".	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly_internal_2014_rev13-0	None	superseded
a2cd6c53-100d-481a-90d0-cb8077362e51	None	AirBase: Validated measurements of the concentration of air pollutants 1969-2012 - version 8, Mar. 2014	None	None	None	None	None	AirBase is the European air quality database maintained by the EEA through its European topic centre on Air pollution and Climate Change mitigation. It contains air quality monitoring data and information submitted by participating countries throughout Europe. The air quality database consists of a multi-annual time series of air quality measurement data and statistics for a number of air pollutants. It also contains meta-information on those monitoring networks involved, their stations and their measurements. The database covers geographically all EU Member States, the EEA member countries and some EEA collaborating countries. The EU Member States are bound under Decision 97/101/EC to engage in a reciprocal exchange of information (EoI) on ambient air quality. The EEA engages with its member and collaborating countries to collect the information foreseen by the EoI Decision because air pollution is a pan European issue and the EEA is the European body which produces assessments of air quality, covering the whole geographical area of Europe. All pollutants might not be monitored at all stations.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2cd6c53-100d-481a-90d0-cb8077362e51.png	None	2019-06-04	None	None	air quality monitoring|aromatic compound|arsenic|atmospheric composition|atmospheric pollution|benzene|cadmium|carbon monoxide|dust|heavy metal|lead|mercury|nickel|nitrogen dioxide|nitrogen oxides|ozone|smog|smoke|sulphur dioxide|transboundary pollution|troposphere|tropospheric ozone|volatile organic compound	vector	Text	None	1:10000	None	- Countries deliver to Reportnet/CDR. - ETC runs standard checks and provides feedback in CDR. - Countries possibly redeliver. - ETC compiles a European dataset and delivers it to EEA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2cd6c53-100d-481a-90d0-cb8077362e51	None	None	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_10_k_airbase-validated-meas_1969-2012_rev8	None	obsolete
1982384c-d6fb-42dd-92e7-408bd88b783c	None	Surrounding seas of Europe - PRE-RELEASE VERSION, Feb. 2017	None	None	None	None	None	In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which two are further divided into four subregions each. Apart of these, other relevant seas are also surrounding Europe. The present layer provides the spatial extent of the Europe seas, including those regions and subregions mentioned in the MSFD.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1982384c-d6fb-42dd-92e7-408bd88b783c.png	None	2019-06-04	None	None	marine environment|sea	vector	SHP	None	1:100000	None	The present layer provides the spatial extent of the regions and subregions defined under the MSFD, together with the delineation of other relevant seas surrounding Europe. The delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG’s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries. The inner boundary of all regions and subregions has used the “EEA coastline for analysis” available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available. Therefore, since it includes the delineation of marine regions and subregions agreed under the MSFD, the present layer should take into account the following: a.The marine regions and subregions defined under the MSFD are intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies. b. The present layer provides boundaries of the marine regions and subregions as listed in MSFD Article 4, together with the delineation of other relevant seas surrounding Europe. c. The layer is not intended to provide boundaries of the marine waters of Member States. This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed. d. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.". e. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency. f. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, the layer should be updated. g. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the MSFD marine regions and subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2). Finally, the following notes are relevant for the understanding of the layer: - The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_ACSo_1" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course. -The area with inspireId "EU.EUROPA.ENVIRONMENT.MSFD.SUBREGIONS_na_1" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area. -The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them. The link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1982384c-d6fb-42dd-92e7-408bd88b783c	None	None	FALSE	Area management/restriction/regulation zones and reporting units|Sea regions|Baltic Sea|Barents Sea|Black Sea|Iceland Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)|Norwegian Sea|White Sea	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_k_Europe-seas_i_2010-2017_v00_r00	None	superseded
bb026039-3d92-4b46-aab4-4862de0ddb8a	None	Natura 2000 (vector) 100 k - version 2015, Mar. 2016	None	None	None	None	None	Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). The European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated. The descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, has developed a quality control process that identifies potential inconsistencies in the national reports. The spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data. Any problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	https://www.eea.europa.eu/data-and-maps/data/natura-7	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb026039-3d92-4b46-aab4-4862de0ddb8a.png	EPSG:3035	2019-06-04	None	None	natural area|natural areas protection|protected area|species	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb026039-3d92-4b46-aab4-4862de0ddb8a	None	None	FALSE	Habitats and biotopes|Protected sites	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2015	None	superseded
5e884531-3b0e-4643-af14-ae6281d6fb24	None	Biogeographical regions, Europe 2011	None	None	None	None	None	The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention).	https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5e884531-3b0e-4643-af14-ae6281d6fb24.png	EPSG:3035	2019-06-04	None	None	biodiversity	vector	SHP	None	1:10000000	None	Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network. Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden. The scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are poorer, i.e. 1:10 000 000.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e884531-3b0e-4643-af14-ae6281d6fb24	None	None	FALSE	Bio-geographical regions	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_mio_biogeo-regions_2011	None	superseded
465c6af4-7a30-43de-98e5-90ebe7e816c4	None	Natura 2000 (vector) 100 k - version 2013-1, Sep. 2014	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database . The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released. However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	https://www.eea.europa.eu/data-and-maps/data/natura-5	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/465c6af4-7a30-43de-98e5-90ebe7e816c4.png	EPSG:3035	2019-06-04	None	None	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year. This version corrects some features over Luxembourg which were shifted in the previous release of this data set.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/465c6af4-7a30-43de-98e5-90ebe7e816c4	None	None	FALSE	Habitats and biotopes|Protected sites	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2013_rev01	None	superseded
66fa7dca-8772-4a5d-9d56-2caba4ecd36a	None	DEM over Europe from the GMES RDA project (EU-DEM, resolution 25m) - version 1, Oct. 2013	None	None	None	None	None	The Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra. Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 metre. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset divided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. These tiles have then been aggregated into 5°x5° tiles which have been projected to ETRS89-LAEA by JRC. The resulting tiles (1000x1000km) are made available as well as a mosaic of them. The vertical unit of this DSM is metre. The tiles are provided as GeoTIFF with LZW compression. The mosaic is provided as GeoTIFF with DEFLATE compression. Ownership of EU-DEM belongs to European Commission, DG Enterprise and Industry.	https://www.eea.europa.eu/data-and-maps/data/eu-dem	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/66fa7dca-8772-4a5d-9d56-2caba4ecd36a.png	EPSG:3035	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/66fa7dca-8772-4a5d-9d56-2caba4ecd36a	None	None	FALSE	Elevation|Hydrography	Access to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. The following credit must be displayed when using these data: Data funded under GMES preparatory action 2009 on Reference Data Access by the European Commission, DG Enterprise and Industry. Access and use of the data is made on the conditions that: 1. When distributing or communicating Copernicus data and information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_25_m_gsgrda-eudem-dem-europe_2012_rev1	None	obsolete
01c9d364-6c84-4b3f-8feb-1b99eff56e07	None	WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	A Groundwater Body (GWB) under the Water Framework Directive (WFD) Art. 2 is defined as a distinct volume of groundwater within an aquifer or aquifers, whereas an aquifer is defined as a geological layer with significant groundwater flow. This definition of a GWB allows a wide scope of interpretations. EU Member States (MS) are under obligation to report the GWBs including the results of the GWB survey periodically according to the schedule of the WFD. Reportnet is used for the submission of GWB data to the EEA by MS and includes spatial data as GIS polygons and GWB characteristics in an XML schema. The WISE provisional reference GIS WFD Dataset on GWBs combines spatial data consisting of several shape files and certain GWB attributes in a single table submitted by the MS according to Art. 13. The GWBs are divided into horizons, which represent distinct vertical layers of groundwater resources. All GWBs assigned to a certain horizon from one to five are merged into one shape file. GWBs assigned to horizons six or seven are combined in a single further shape file. Another two shape files comprise the GWBs of Reunion Island in the southern hemisphere and the GWBs from Switzerland as a non EU MS, all of which assigned to horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1 : 10,000 to 1 : 1,000,000 and mostly in the range from 1 : 50,000 to 1 : 250,000. The processing of some of the GWB shape files by GIS routines as clip or intersect in combination with a test polygon resulted in errors. Therefore a correction of erroneous topological features causing routine failures was carried out. However, the GWB layer includes a multitude of in parts very tiny, distinct areas resulting in a highly detailed or fragmented pattern. In certain parts topological inconsistencies appear quite frequently and delineation methodologies are currently varying between the MS in terms of size and three dimensional positioning of GWBs. This version of the dataset has to be considered as a first step towards a consistent GWB picture throughout Europe, but it is not yet of a sufficient quality to support spatial analyses i.e. it is not a fully developed reference GIS dataset. Therefore, the layer is published as a preliminary version and use of this data is subject to certain restrictions outlined in the explanatory notes. It should be underlined that the methodology used is still under discussion (Working Group C -Groundwater) and is not fully harmonised throughout the EU MS. For the external publication the whole United Kingdom had to be removed due to licensing restrictions.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/01c9d364-6c84-4b3f-8feb-1b99eff56e07.png	EPSG:3035	2019-06-04	None	None	aquifer|groundwater	vector	SHP	None	1:1000000	None	Spatial data of GWBs was delivered by MS in a shape format, whereas many MS stored the data in separate shape files for River Basin Districts (RBD) or horizons or both. The attribute tables of the provided shape files always implied the mandatory fields of GWB code named “EU_CD_GW” and GWB horizon partially accompanied by varying extra columns defined by the Member States. All GWBs had been merged into separate shape files according to their affiliation to horizons, but with extra shapes for Reunion and Switzerland. The attribute tables of these shape files exclusively adopt the fields “EU_CD_GW” and GWB. Because the GWB identifier “EU_CD_GW” is not unique for the polygons an artificial polygon identifier “Polygon_ID” is appended to the attribute table. The linking between the shape files and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes deriving from the WFD reporting via XML files, has to be carried out using the column EU_CD_GW as key for joining the tables.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01c9d364-6c84-4b3f-8feb-1b99eff56e07	None	None	FALSE	Area management/restriction/regulation zones and reporting units|Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_xxx_1_mio_wise-gbd-public_2009-2011	None	obsolete
1e6413e5-718f-484c-84d0-5d02257362a3	None	Near real time measurements of concentration of particulate matter less than 2.5μg (PM2.5) for the current year	None	None	None	None	None	Near real time concentration of PM2.5 measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e6413e5-718f-484c-84d0-5d02257362a3.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|dust|smog|smoke|transboundary pollution	textTable	Text	None	1:10000	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e6413e5-718f-484c-84d0-5d02257362a3	None	None	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-pm2-5	None	obsolete
cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e	None	Near real time measurements of sulphur dioxide (SO2) concentration for the current year	None	None	None	None	None	Near real time sulphur dioxide (SO2) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|sulphur dioxide|transboundary pollution	textTable	Text	None	1:10000	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cdd9e6c7-fbe2-49c2-bcd7-33f5a8ab1a5e	None	None	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-so2	None	obsolete
1adfc74f-65d1-4ec6-96cf-05cd8a62d797	None	Near real time measurements of benzene (C6H6) concentration for the current year	None	None	None	None	None	Near real time benzene concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|benzene|troposphere|volatile organic compound	textTable	Text	None	1:10000	None	Near real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1adfc74f-65d1-4ec6-96cf-05cd8a62d797	None	None	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-benzene	None	obsolete
74944b72-67c4-45a5-b4b4-24a791604665	None	Digital Elevation Model over the Caribbean from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74944b72-67c4-45a5-b4b4-24a791604665.png	EPSG:4326	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	HFA	None	0.0002777777778deg	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74944b72-67c4-45a5-b4b4-24a791604665	None	None	FALSE	Elevation|Hydrography	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, DG Enterprise and Industry	FALSE	None	None	None	None	None	None	None			None	None	entr_r_4326_1_arcsec_gsgrda-eudem-caribbean_2012_rev0-5	None	obsolete
cd71afc9-4490-4cef-8008-43456970bd51	None	High Resolution Layer: Imperviousness Degree 2009 (raster 20m), Aug. 2013	None	None	None	None	None	Imperviousness Degree (IMD) 2009 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m spatial resolution for the 2009 reference year. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cd71afc9-4490-4cef-8008-43456970bd51.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cd71afc9-4490-4cef-8008-43456970bd51	None	None	FALSE	Land cover|EEA39	The 2009 “degree of soil sealing” dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea europa.eu for any requests.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imd_2008-2009	None	obsolete
3cb814e5-2fd6-4f74-9e05-a29cd3218aa7	None	High Resolution Layer: Forest Type 2012 (raster 20m), Mar. 2016	None	None	None	None	None	Forest Type (FTY) 2012 is a European mosaic of Forest Type (FTY) in 20m and 100m spatial resolution and European projection. The Minimum Mapping Unit (MMU) is 0.5 ha. The FTY product is closely aligned to the FAO forest definition, in the sense that the 20m x 20m forest type products are produced from the tree cover density (TCD) product applying a following rules 1) MMU = 0.5 ha (minimum number of pixels to form a patch); 2) Minimum Mapping Width (MMW) = 20m; 3) TCD value ≥10 and <100%. The product maps the dominant leaf type of trees with two classes: "broadleaved" and "coniferous" (binary product). The FTY product for 2012 will be corrected and improved as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and the new version will be available from early 2018 and fully replace all previous versions. The production of the Forest Type (FTY) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3cb814e5-2fd6-4f74-9e05-a29cd3218aa7.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided HR satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3cb814e5-2fd6-4f74-9e05-a29cd3218aa7	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_fty_2011-2012	None	obsolete
4986a487-7584-4a37-a6b3-bbd883da74b2	None	Near real time measurements of ozone (O3) concentration for the current year	None	None	None	None	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|ozone|transboundary pollution|tropospheric ozone	textTable	Text	None	1:10000	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4986a487-7584-4a37-a6b3-bbd883da74b2	2011	2011	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-ozone	None	obsolete
53bf5af3-bbed-423d-8ca9-6e8bd7f93786	None	Near real time measurements of concentration of particulate matter less than 10μg (PM10) for the current year	None	None	None	None	None	Near real time concentration of PM10 measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4986a487-7584-4a37-a6b3-bbd883da74b2.jpg	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|dust|smog|smoke|transboundary pollution	textTable	Text	None	1:10000	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53bf5af3-bbed-423d-8ca9-6e8bd7f93786	2011	2011	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-pm10	None	obsolete
885799a4-5c57-4c38-9929-7f187728d7f2	None	High Resolution Layer: Imperviousness Degree 2012 (raster 20m), Apr. 2016	None	None	None	None	None	Imperviousness Degree (IMD) 2012 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m and 100m x 100m spatial resolution for the 2012 reference year. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). It is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index) and uses the previous Imperviousness Degree (MD) 2009 product. All NDVI images are calibrated with the Imperviousness 2009 data, and built-up change candidates are mapped. The 100m x 100m product is produced by updating the 2009 aggregated imperviousness layer by adding the aggregated 100m x 100m imperviousness change layer (2009-2012) to the latter. This way, consistency between the 100m x 100m imperviousness layers will be maintained. The production of the Imperviousness Degree (IMD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/885799a4-5c57-4c38-9929-7f187728d7f2.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Semi-automatic classification of NDVI multispectral satellite data (derived from Image 2012). Step-wise enhancement using CLC 2006/2012 and mitigation (cloud-/gap-filling) with additional EO data and subsequently final integration to a European mosaic.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/885799a4-5c57-4c38-9929-7f187728d7f2	2011	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imd_2011-2012	None	obsolete
1203e3a4-e067-4656-bbd9-42d0c22f964c	None	High Resolution Layer: Imperviousness Change 2006-2009 (raster 100m), Aug. 2013	None	None	None	None	None	Imperviousness Change (IMC) 2006-2009 is a 100m raster dataset showing change in imperviousness between 2006 and 2009 reference years. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). The product maps the degree of Imperviousness change (in 1-100%), or soil sealing and is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1203e3a4-e067-4656-bbd9-42d0c22f964c.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Change mapping using the 2006 and 2009 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data. The change product nevertheless shows some inconsistencies in direct comparison with the 2009-2012 change product and should be used with care.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1203e3a4-e067-4656-bbd9-42d0c22f964c	2006	2009	TRUE	Land cover|EEA39	Imperviousness Change (IMC) 2006-2009 dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_imc_2006-2009	None	obsolete
7e5f9e9b-5cbe-477b-8244-7bba236033ea	None	Exclusive Economic Zones (EEZ) of the world - version 7, Nov. 2012	None	None	None	None	None	Under the law of the sea, an exclusive economic zone (EEZ) is a sea zone over which a state has special rights over the exploration and use of marine resources. It stretches from the seaward edge of the state territorial sea out to 200 nautical miles from its coast. This dataset has been retrieved from the Flanders Marine Institute.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e5f9e9b-5cbe-477b-8244-7bba236033ea.png	EPSG:4326	2019-06-04	None	None	administrative boundary	vector	Postgis	None	1:1000000	None	The creation process is documented at http://marineregions.org/eezmethodology.php	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e5f9e9b-5cbe-477b-8244-7bba236033ea	2012	2012	FALSE	Area management/restriction/regulation zones and reporting units	The dataset should be referred to as "VLIZ (2012). Maritime Boundaries Geodatabase, version 7. Available online at http://www.marineregions.org/. Consulted on YYYY-MM-DD"	FALSE	Flanders Marine Institute	FALSE	None	None	None	None	None	None	None			None	None	vliz_v_4326_1_mio_eez-v7_2012	None	obsolete
0be4fc3c-eaac-467e-85ea-01ea4e834e93	None	High Resolution Layer: Imperviousness Change 2006-2009 (raster 20m), Aug. 2013	None	None	None	None	None	Imperviousness Change (IMC) 2006-2009 is a 100m raster dataset showing change in imperviousness between 2006 and 2009 reference years. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). The product maps the degree of Imperviousness change (in 1-100%), or soil sealing and is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0be4fc3c-eaac-467e-85ea-01ea4e834e93.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Change mapping using the 2006 and 2009 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data. The change product nevertheless shows some inconsistencies in direct comparison with the 2009-2012 change product and should be used with care.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0be4fc3c-eaac-467e-85ea-01ea4e834e93	2006	2009	TRUE	Land cover|EEA39	Imperviousness Change (IMC) 2006-2009 dataset was produced in the frame of the FP7 project Geoland2, together with the 2006 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imc_2006-2009	None	obsolete
1cbfa933-5112-41c0-b699-a1a2a90e8a37	None	Digital Elevation Model over the Réunion from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1cbfa933-5112-41c0-b699-a1a2a90e8a37.png	EPSG:4326	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	HFA	None	0.0002777777778deg	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1cbfa933-5112-41c0-b699-a1a2a90e8a37	2000	2010	TRUE	Elevation|Hydrography	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, DG Enterprise and Industry	FALSE	None	None	None	None	None	None	None			None	None	entr_r_4326_1_arcsec_gsgrda-eudem-reunion_2012_rev0-5	None	obsolete
437c4900-f394-454c-81bd-c3f5a7cddddb	None	High Resolution Layer: Tree Cover Density 2012 (raster 20m), Mar. 2016	None	None	None	None	None	Tree Cover Density (TCD) 2012 is a European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. Copernicus Initial Operations 2011-2013 Land Monitoring Services European mosaic of Tree Cover Density (TCD; 0-100%) in 20m and 100m spatial resolution and European projection. The TCD maps the degree (0-100% per pixel) of tree cover density without a minimum mapping unit (MMU), but with a minimum mapping width (MMW) of 20m. The included features are: 1) Evergreen/non-evergreen broad-leaved, sclerophyllous and coniferous trees; 2) Orchards, olive groves, fruit and other tree plantations, agro-forestry areas, forest nurseries, regeneration and transitional woodlands; 3) Alleys, wooded parks and gardens; 4) Groups of trees within urban areas; 5) Forest management/use features inside forests (forest roads, fire-breaks, thinning, etc.) and forest damage features inside forests (partially burnt areas, storm damage, insect-infested damage, etc.) are included if tree cover can be detected from the 20m imagery. Accordingly, included features are all detectable trees, independent of use. The calibration of the TCD values is being improved as part of the 2015 production, and the 2012 TCD status layer will be updated and replaced by a new version to be published in early 2018 (together with the 2015 status layer, and a new 2012-2015 change product). The production of the Tree Cover Density (TCD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/437c4900-f394-454c-81bd-c3f5a7cddddb.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration|tree	grid	GTiff	None	20m	None	The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided High Resolution satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/437c4900-f394-454c-81bd-c3f5a7cddddb	2011	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_tcd_2011-2012	None	obsolete
c0f90bc9-80ae-4117-920e-06fb4707469c	None	Digital Elevation Model over French Guiana from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c0f90bc9-80ae-4117-920e-06fb4707469c.png	EPSG:4326	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	HFA	None	0.0002777777778deg	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0f90bc9-80ae-4117-920e-06fb4707469c	2000	2010	TRUE	Elevation|Hydrography	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, DG Enterprise and Industry	FALSE	None	None	None	None	None	None	None			None	None	entr_r_4326_1_arcsec_gsgrda-eudem-guiana_2012_rev0-5	None	obsolete
70b3c678-563a-4574-9ec9-69764f4b255c	None	Copernicus Land - Imperviousness density 2012 over Europe (100m) - version 0.1, Aug. 2014	None	None	None	None	None	Built-up areas are characterized by the substitution of the original (semi-) natural cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually characterized by long cover duration. This high resolution imperviousness dataset was produced using automatic derivation based on calibrated NDVI . A per-pixel estimate of sealed soil is foreseen as the index for the degree of imperviousness (0-100%). Classes: 0: Unsealed 1-100: Degrees of Sealing / Imperviousness 254: Unclassifiable (no satellite image available, or clouds, shadows, or snow) 255: Outside area This mosaic was produced on 07/08/14, using a ArcGIS 10.2.1 model from Imperviousness Density High Resolution Layers delivered to date. These HRLs are intermediate deliveries, meaning that they have not undergone verification and enhancement. They were produced by service providers for Copernicus GIO land, using IRS LISS-III, RapidEye and SPOT satellite image data as inputs. Two colour palettes are provided: - for standalone use of the product (esri_colour_table_imperviousness_hrl_standalone_use.clr and qgis_colour_table_imperviousness_hrl_standalone_use.txt) - for combined use with other High Resolution Layers (esri_colour_table_imperviousness_hrl_combined_use.clr and qgis_colour_table_imperviousness_hrl_combined_use.txt)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/70b3c678-563a-4574-9ec9-69764f4b255c.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing|urban environment|urban stress	grid	GTiff	None	100m	None	1. Input data Intermediate (non-verified, non-enhanced) Imperviousness Density 2012 High Resolution Layer (HRL) at 20m spatial resolution. 2. Spatial aggregation to 100m resolution The mosaic in ENVI image format was processed by a stand alone C program written by Alan Steel (EEA MDI), in order to average the 20m pixel values to 100m spatial resolution, applying the following aggregation rules: >=13 pixels within 5*5 pixel block with valid sealing value? If Yes: assign average sealing degree (taking into account the valid pixels only) to the cell If No: frequency of No data (255) pixels >= unclassifiable (254) pixels? If Yes: assign "no data (255)" to the cell If No: assign "unclassifiable (254)" to the cell 3. Saved as GeoTiff using gdal_translate	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/70b3c678-563a-4574-9ec9-69764f4b255c	2012	2014	TRUE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Land cover|Montenegro|Serbia|the North Macedonia	Access to data governed by Commission delegated regulation (EU) No 1159/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159] Although Regulation (EU) No 911/2010 is repealed by Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010, any measure adopted on the basis of Regulation (EU) No 911/2010 shall remain valid under Article 33 (2) of Regulation (EU) No 377/2014 [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2014.122.01.0044.01.ENG]. Without prejudice to the provisions contained in the Commission delegated regulation (EU) No 1159/13 (in particular under Chapters 2 and 3), free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copern_r_3035_100_m_imperviousness-density-europe_2012_rev0-1	None	obsolete
19a37cab-7542-4d20-b8ee-ed66f991cdf6	None	High Resolution Layer: Imperviousness Degree 2006 (raster 20m), Aug. 2013	None	None	None	None	None	Imperviousness Degree (IMD) 2006 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m spatial resolution for the 2006 reference year. The dataset was produced in the frame of the FP7 project Geoland2, together with the 2009 imperviousness dataset. A fully re-processed time series of imperviousness data (including the 2006 and 2009 products) is currently being produced as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and will be available from early 2018. These products will fully replace all previous versions.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/19a37cab-7542-4d20-b8ee-ed66f991cdf6.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.The product is the result of a semi-automated classification of HR (High Resolution) satellite imagery, based on the use of a calibrated NDVI.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19a37cab-7542-4d20-b8ee-ed66f991cdf6	2005	2006	TRUE	Land cover|EEA39	The 2006 “degree of soil sealing” dataset was produced in the frame of the FP7 project Geoland2, together with the 2009 imperviousness dataset. The latest revised products are available since early 2013. Currently the EEA is acting as data-custodian for Geoland2, and users need to request access and sign a license agreement. Please contact copernicus.land@eea.europa.eu for any requests.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imd_2005-2006	None	obsolete
2a16fabe-c0f3-4faa-9d99-38982bd3dc1a	None	High Resolution Layer: Imperviousness Degree 2012 (raster 100m), Apr. 2016	None	None	None	None	None	Imperviousness Degree (IMD) 2012 is a raster data set showing the degree of soil sealing (imperviousness) ranging from 0 - 100% in 20m x 20m and 100m x 100m spatial resolution for the 2012 reference year. This product is extracted from High Resolution satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). It is based primarily on the analysis of NDVI (Normalized Difference Vegetation Index) and uses the previous Imperviousness Degree (MD) 2009 product. All NDVI images are calibrated with the Imperviousness 2009 data, and built-up change candidates are mapped. The 100m x 100m product is produced by updating the 2009 aggregated imperviousness layer by adding the aggregated 100m x 100m imperviousness change layer (2009-2012) to the latter. This way, consistency between the 100m x 100m imperviousness layers will be maintained. The production of the Imperviousness Degree (IMD) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a16fabe-c0f3-4faa-9d99-38982bd3dc1a.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Semi-automatic classification of NDVI multispectral satellite data (derived from Image 2012). Step-wise enhancement using CLC 2006/2012 and mitigation (cloud-/gap-filling) with additional EO data and subsequently final integration to a European mosaic.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a16fabe-c0f3-4faa-9d99-38982bd3dc1a	2011	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_imd_2011-2012	None	obsolete
92a8eec5-43de-4cdc-9dc4-0781b488ca7a	None	Near real time measurements of nitrogen dioxide (NO2) concentration for the current year	None	None	None	None	None	Near real time nitrogen dioxide (NO2) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92a8eec5-43de-4cdc-9dc4-0781b488ca7a.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|nitrogen dioxide|transboundary pollution	textTable	Text	None	1:10000	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92a8eec5-43de-4cdc-9dc4-0781b488ca7a	2011	2011	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-no2	None	obsolete
d051e24a-6816-4c10-93cb-cf1c336b8e51	None	Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 1 arcsec) - version 0.5, Jan. 2013	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d051e24a-6816-4c10-93cb-cf1c336b8e51.png	EPSG:4326	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	HFA	None	0.0002777777778deg	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d051e24a-6816-4c10-93cb-cf1c336b8e51	2000	2010	TRUE	Elevation|Hydrography	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, DG Enterprise and Industry	FALSE	None	None	None	None	None	None	None			None	None	entr_r_4326_1_arcsec_gsgrda-eudem-europe_2012_rev0-5	None	obsolete
5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8	None	Near real time measurements of nitrogen oxides (NOx) concentration for the current year	None	None	None	None	None	Near real time nitrogen oxides (NOx) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|nitrogen oxides|transboundary pollution	textTable	Text	None	1:10000	None	Near real time ozone concentration measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5db35ceb-c7f3-4f97-9bd0-907d26a8c2c8	2011	2011	FALSE	Atmospheric conditions|Environmental monitoring facilities	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-nox	None	obsolete
f8de0241-52cd-428d-8203-360bad92ee10	None	Near real time measurements of carbon monoxide (CO) concentration for the current year	None	None	None	None	None	Near real time carbon monoxide (CO) concentration measurements transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8de0241-52cd-428d-8203-360bad92ee10.png	EPSG:4326	2019-06-04	None	None	air quality monitoring|atmospheric composition|atmospheric pollution|carbon monoxide|troposphere	textTable	Text	None	1:10000	None	Near real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8de0241-52cd-428d-8203-360bad92ee10	2011	2011	FALSE	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-co	None	obsolete
2b3cf08a-8d4b-4283-8fc3-616316798c1c	None	Copernicus Land - Imperviousness density 2012 over Europe (20m) - version 0.1, Aug. 2014	None	None	None	None	None	Built-up areas are characterized by the substitution of the original (semi-) natural cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually characterized by long cover duration. This high resolution imperviousness dataset was produced using automatic derivation based on calibrated NDVI . A per-pixel estimate of sealed soil is foreseen as the index for the degree of imperviousness (0-100%). Classes: 0: Unsealed 1-100: Degrees of Sealing / Imperviousness 254: Unclassifiable (no satellite image available, or clouds, shadows, or snow) 255: Outside area This mosaic was produced on 07/08/14, using a ArcGIS 10.2.1 model from Imperviousness Density High Resolution Layers delivered to date. These HRLs are intermediate deliveries, meaning that they have not undergone verification and enhancement. They were produced by service providers for Copernicus GIO land, using IRS LISS-III, RapidEye and SPOT satellite image data as inputs. Two colour palettes are provided: - for standalone use of the product (esri_colour_table_imperviousness_hrl_standalone_use.clr and qgis_colour_table_imperviousness_hrl_standalone_use.txt) - for combined use with other High Resolution Layers (esri_colour_table_imperviousness_hrl_combined_use.clr and qgis_colour_table_imperviousness_hrl_combined_use.txt)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b3cf08a-8d4b-4283-8fc3-616316798c1c.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing|urban environment|urban stress	grid	GTiff	None	20m	None	1. Input data Intermediate (non-verified, non-enhanced) Imperviousness Density 2012 High Resolution Layer (HRL) at 20m spatial resolution. These HRLs are full or partial country coverages delivered to date, accompanied by INSPIRE-compliant metadata. They do not cover the entire EEA39, as not all HRLs have been delivered as of 31/07/14. They are delivered via the GIO land Verification and Enhancement portal. They are in natioanl projections. 2. Re-projection The input HRL data was re-projected to ETRS89 Labert Azimuth Equal Area (EPSG: 3035) using gdalwarp (version gdal-1.10.1). A table of Coordinate Reference System parameters for each country was used as input to this process. 3. Mosaicking The re-projected HRLs were mosaicked, using 255 as the transparent data value. This was performed on duck.eea.dmz1 using an ArcGIS 10.2.1 model, producing the mosaic as an ArcGIS Geodatabase: V:\SOURCES\HighResolutuionLayers\MosaicsDatasets\Imperviousness_010714.gdb 4. Saved as GeoTiff using gdal_translate	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b3cf08a-8d4b-4283-8fc3-616316798c1c	2012	2014	TRUE	Albania|Bosnia and Herzegovina|EEA33|Kosovo under the UN Security Council Resolution 1244/99|Land cover|Montenegro|Serbia|the North Macedonia	Access to data governed by Commission delegated regulation (EU) No 1159/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159] Although Regulation (EU) No 911/2010 is repealed by Regulation (EU) No 377/2014 of the European Parliament and of the Council of 3 April 2014 establishing the Copernicus Programme and repealing Regulation (EU) No 911/2010, any measure adopted on the basis of Regulation (EU) No 911/2010 shall remain valid under Article 33 (2) of Regulation (EU) No 377/2014 [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=uriserv:OJ.L_.2014.122.01.0044.01.ENG]. Without prejudice to the provisions contained in the Commission delegated regulation (EU) No 1159/13 (in particular under Chapters 2 and 3), free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copern_r_3035_20_m_imperviousness-density-europe_2012_rev0-1	None	obsolete
544fb50e-a8b5-4725-ac2d-ae00507d49b8	None	High Resolution Layer: Forest Type 2012 (raster 100m), Mar. 2016	None	None	None	None	None	Forest Type (FTY) 2012 is a European mosaic of Forest Type (FTY) in 20m and 100m spatial resolution and European projection. The Minimum Mapping Unit (MMU) is 0.5 ha. The FTY product is closely aligned to the FAO forest definition, in the sense that the 20m x 20m forest type products are produced from the tree cover density (TCD) product applying a following rules 1) MMU = 0.5 ha (minimum number of pixels to form a patch); 2) Minimum Mapping Width (MMW) = 20m; 3) TCD value ≥10 and <100%. The product maps the dominant leaf type of trees with two classes: "broadleaved" and "coniferous" (binary product). The FTY product for 2012 will be corrected and improved as part of the 2015 reference year production, in the frame of the EU Copernicus programme, and the new version will be available from early 2018 and fully replace all previous versions. The production of the Forest Type (FTY) 2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/544fb50e-a8b5-4725-ac2d-ae00507d49b8.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	The product is derived by semi-automatic classification and computer aided visual refinement, based on ESA provided HR satellite imagery (DWH_M62_CORE_01). The imagery is provided as COV1: mainly IRS RS2 and SPOT 4/5 in 20 and 25m spatial resolution, and as COV2: RapidEye. Step-wise enhancement using CLC2006/CLC2012 and mitigation (cloud-/gap-filling) with additional EO data for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency) and subsequently final integration to a European mosaic.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/544fb50e-a8b5-4725-ac2d-ae00507d49b8	2011	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_fty_2011-2012	None	obsolete
9e690d13-c239-45fc-a6ee-abfc6391c765	None	Preliminary version of a Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE, resolution 1 arcsec)	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. The EU-DEM is generated as a contiguous dataset devided into 1 degree by 1 degree tiles corresponding to the SRTM naming convention. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e690d13-c239-45fc-a6ee-abfc6391c765.png	EPSG:4326	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	0.0002777777778deg	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e690d13-c239-45fc-a6ee-abfc6391c765	2000	2010	TRUE	Elevation|Hydrography	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, DG Enterprise and Industry	FALSE	None	None	None	None	None	None	None			None	None	entr_r_4326_1_arcsec_gsgrda-eudem_2012	None	obsolete
1f438d68-b984-4d36-81f7-2b9684116caa	None	High Resolution Layer: Imperviousness Change 2009-2012 (raster 100m), Apr. 2016	None	None	None	None	None	Imperviousness Change (IMC) 2009-2012 is a 100m raster dataset showing change in imperviousness between 2009 and 2012 reference years. This product is based on a change mapping using the 2009 and 2012 imperviousness status layers. A filtering step is applied to distinguish real change from noise in the data. Given that errors found in the 2009 product are not corrected in the 2009 status layer, we recommend to use only this change product (not the status layers!) for applications that focus on change. A fully re-processed time series of imperviousness data (including the 2009-2012 change product) is currently being produced as part of the 2015 reference year production, and will be available from early 2018. These products will fully replace all previous versions. The production of the Imperviousness Change (IMC) 2009-2012 was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f438d68-b984-4d36-81f7-2b9684116caa.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Change mapping using the 2009 and 2012 imperviousness status products. Given that the status products map the % sealing, and slight differences will occur between 2006 and 2009 even with no sealing change, a 30% threshold was applied to separate real change from noise in the data.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f438d68-b984-4d36-81f7-2b9684116caa	2009	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_imc_2009-2012	None	obsolete
d22b133d-b781-4b0d-914f-5b66f1911999	None	MSFD (Article 4) marine regions - version 1, February 2017	None	None	None	None	None	In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), the following four marine regions are listed (art. 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea. The present layer provides the spatial extent of these regions, as agreed by the MSFD Committee in November 2016.	https://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d22b133d-b781-4b0d-914f-5b66f1911999.png	None	2019-06-04	None	None	marine environment|sea	vector	SHP	None	1:100000	None	The delineation of the marine regions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG’s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between marine regions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries. The inner boundary of all regions and subregions has used the “EEA coastline for analysis” available at (http://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis/); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available. The layer should be used on the following basis: a. It is intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies. b. It provides the boundaries of the marine regions, as listed in MSFD Article 4. In accordance with MSFD Article 4(1), Member States shall, when implementing the MSFD, take due account of the fact that their marine waters form an integral part of these marine regions. The marine regions layer is meant to depict the marine regions that Member States shall take due account of, including in relation to transboundary effects on the quality of the marine environment of third States in the same marine region, in accordance with MSFD Article 2(1). c. It is not intended to provide boundaries of the marine waters of Member States as defined under MSFD Article 3(1). This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed. d. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.". e. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency. f. Notwithstanding the need to update the layer, the boundaries of the marine regions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2). Finally, the following note is relevant for the understanding of the layer: -The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. Therefore, even if they have the same themId as the Black Sea region (BLK), they have been assigned different localId (BLKa and BLKm respectively), in order to differentiate them. The link to the web map, as well as the document describing the geometric delineation of the marine regions and subregions and the process that led to an agreement on the boundaries are available at the following link: http://www.eea.europa.eu/data-and-maps/data/msfd-regions-and-subregions	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d22b133d-b781-4b0d-914f-5b66f1911999	None	None	FALSE	Area management/restriction/regulation zones and reporting units|Sea regions|Baltic Sea|Black Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_k_msfd-marine-regions_2010-2017	None	superseded
f25f9f5c-682b-4030-9b3d-0f4842c69e9c	None	Urban Atlas - Portugal - Funchal	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f25f9f5c-682b-4030-9b3d-0f4842c69e9c.png	EPSG:32628	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 06JUL22121049-M1BS-052239075060_01_P006 (PS) (Date: 2006/07/22) * Spot 5 2,50 m - 06OCT20121343-M1BS-052239075060_01_P002 (PS) (Date: 2006/10/20) * Spot 5 2,50 m - 06OCT20121346-M1BS-052239075060_01_P003 (PS) (Date: 2006/10/20) * Spot 5 2,50 m - 06OCT25121904-M1BS-052239075060_01_P001 (PS) (Date: 2006/10/25) * Spot 5 2,50 m - 08JAN21121253-M1BS-052239075060_01_P004 (PS) (Date: 2008/01/21) * Spot 5 2,50 m - 08JAN21121257-M1BS-052239075060_01_P005 (PS) (Date: 2008/01/21) * RapidEye - 2009-12-13T125252_RE1_3A-NAC_5455910_104088 (XS) (Date: 2009/12/13) * RapidEye - 2009-12-13T125252_RE1_3A-NAC_5455911_104088 (XS) (Date: 2009/12/13) * RapidEye - 2009-12-13T125255_RE1_3A-NAC_5455912_104088 (XS) (Date: 2009/12/13) * RapidEye - 2009-12-13T125256_RE1_3A-NAC_5455909_104088 (XS) (Date: 2009/12/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f25f9f5c-682b-4030-9b3d-0f4842c69e9c	None	None	FALSE	Funchal|Land use|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32628_10_k_urban-atlas-pt004l_funchal_2006-2009	None	obsolete
2f19a7b7-3f52-41ab-af67-699c3ec80f4c	None	Urban Atlas - Spain - Las Palmas de Gran Canaria	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f19a7b7-3f52-41ab-af67-699c3ec80f4c.png	EPSG:32628	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538034 (PS) (Date: 2006/08/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f19a7b7-3f52-41ab-af67-699c3ec80f4c	None	None	FALSE	Land use|Las Palmas de Gran Canaria|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32628_10_k_urban-atlas-es008l_las_palmas_2006	None	obsolete
419fd081-26cf-48d7-9ed3-cef4e6b97512	None	Urban Atlas - Spain - Santa Cruz de Tenerife	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/419fd081-26cf-48d7-9ed3-cef4e6b97512.png	EPSG:32628	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50152930609011143051B0 (PS) (Date: 2006/09/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/419fd081-26cf-48d7-9ed3-cef4e6b97512	None	None	FALSE	Land use|Santa Cruz de Tenerife|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32628_10_k_urban-atlas-es025l_santa_cruz_de_tenerife_2006	None	obsolete
1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd	None	Imperviousness changes 2006-2009 - Jan. 2013	None	None	None	None	None	The imperviousness changes 2006-2009 datasets produced by Geoland consist in: - one dataset about built-up changes at 20m resolution - one dataset about built-up changes at 100m resolution - one dataset about imperviousness changes at 20m resolution - one dataset about imperviousness changes at 100m resolution - one dataset about imperviousness changes metadata at 100m resolution - one dataset with filtered imperviousness changes at 20m resolution in order to keep the most significant changes	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the report entitled "Delivery Report Revised Soil Sealing 2006 products EEA-38" for general information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c3876e0-2db1-4b5a-8f48-a6a3f07bf7fd	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_xxx_m_imperviousness-changes_2006-2009	None	obsolete
5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd	None	Imperviousness 2009, degrees of imperviousness 100m - Jan. 2013	None	None	None	None	None	High resolution land cover data for built-up areas with degree of imperviousness 2009. Histogram smoothing procedure was applied to solve minor inconsistencies. Classes: 0: Unsealed 1-100: Degrees of Sealing / Imperviousness 254: Clouds, No data 255: Outside area	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c20713e-29a3-4f8b-b9fd-3b32f5c0d1fd	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_imperviousness-degrees_2009	None	obsolete
0d04aa58-788c-4545-a312-25d918d86f77	None	Imperviousness changes 2006-2009, changes 100m metadata - Jan. 2013	None	None	None	None	None	Raster dataset containing the number of valid 20m cells used for each 100m cell of the dataset about imperviousness changes at 100m resolution. Classes: 0: Outside area 1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d04aa58-788c-4545-a312-25d918d86f77.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Not available.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d04aa58-788c-4545-a312-25d918d86f77	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_imperviousness-changes-metadata_2006-2009	None	obsolete
56f4508d-a565-4673-9cda-52a75a5f6d66	None	Imperviousness 2009, degrees of imperviousness 20m - Jan. 2013	None	None	None	None	None	High resolution land cover data for built-up areas with degree of imperviousness 2009. Histogram smoothing procedure was applied to solve minor inconsistencies. Classes: 0: Unsealed 1-100: Degrees of Sealing / Imperviousness 254: Clouds, No data 255: Outside area	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56f4508d-a565-4673-9cda-52a75a5f6d66.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Pixel-based layer of built-up areas including degree of soil sealing. It serves as an update of the soil sealing layer of 2006. Methodology comprises the following steps: a) A hybrid automated classification with supervised and unsupervised elements, leading to binary maps of built-up areas b) Manual correction of the binary map to obtain the required quantitative thematic accuracy (85%) as well as good qualitative results c) Derivation of the soil sealing levels based on the NDVI (Normalised Difference Vegetation Index). A histogram smoothing procedure was applied where gaps in the histogram are partially filled. The sealing 09 degrees have been modified by no more than 1 sealing degree (up or down) for this purpose. Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation for further details.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56f4508d-a565-4673-9cda-52a75a5f6d66	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_imperviousness-degrees_2009	None	obsolete
5c8e3269-75f1-4287-896c-df203537686d	None	Revised Soil Sealing 2006, 100m degrees of sealing metadata - Jan. 2013	None	None	None	None	None	Raster dataset containing the number of valid 20m cells used for each 100m cell of the degrees of soil sealing dataset at 100m resolution. Classes: 0: Outside area 1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c8e3269-75f1-4287-896c-df203537686d.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c8e3269-75f1-4287-896c-df203537686d	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_revised-soil-sealing-degrees-metadata_2006	None	obsolete
2c089ecd-2aa0-472d-8ac5-6f314cf48024	None	Imperviousness changes 2006-2009, filtered changes 20m - Jan. 2013	None	None	None	None	None	Raster datasets indicating changes in degrees of imperviousness. Changes are filtered to exclude areas being smaller than 5 pixels as well as pixels with changes smaller than +/-30%. This filtering leads to better reliability of changes mapped. Changes are expressed as follows: Degree 2009 – Degree 2006 + 100. Classes: 0-99: decreased imperviousness density 100: unchanged areas with imperviousness degrees of 1-100 101-200: increased imperviousness density 201: unchanged areas with imperviousness degrees of 0 (unsealed in 2006 and 2009) 254: unclassifiable (no satellite image available, or clouds, shadows, or snow) 255: outside area	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2c089ecd-2aa0-472d-8ac5-6f314cf48024.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Not available.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c089ecd-2aa0-472d-8ac5-6f314cf48024	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_filtered-imperviousness-changes_2006-2009	None	obsolete
2856fddd-5419-45da-8425-d27ee56961a5	None	Urban Atlas - Bulgaria - Plovdiv (Пловдив)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2856fddd-5419-45da-8425-d27ee56961a5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183756058 (PS) (Date: 2007/07/23) * Spot 5 2,50 m - 00183538064 (PS) (Date: 2007/09/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2856fddd-5419-45da-8425-d27ee56961a5	None	None	FALSE	Bulgaria|Land use|Plovdiv	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-bg002l_plovdiv_2007	None	obsolete
eb967443-41db-4468-bf56-41ed2d05e875	None	Urban Atlas - Romania - Brăila	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eb967443-41db-4468-bf56-41ed2d05e875.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00185800034 (PS) (Date: 2006/10/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eb967443-41db-4468-bf56-41ed2d05e875	None	None	FALSE	Brăila|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro005l_braila_2006	None	obsolete
e024d68d-f206-482f-a91f-b466a7d3b8be	None	Urban Atlas - Poland - Płock	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e024d68d-f206-482f-a91f-b466a7d3b8be.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50702430509271014021B0 (PS (Date: 2005/09/27) * Spot 5 2,50 m - 50732430509180947111B4 (PS) (Date: 2005/09/18)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e024d68d-f206-482f-a91f-b466a7d3b8be	None	None	FALSE	Land use|Poland|Płock	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl026l_plock_2005	None	obsolete
857aeab5-095d-4494-a2d0-737cd4d283e0	None	Urban Atlas - United Kingdom - Portsmouth	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/857aeab5-095d-4494-a2d0-737cd4d283e0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 07DEC30112609-M1BS-052239075030_01_P001 (PS) (Date: 2007/12/30) * Spot 5 2,50 m - 07NOV16113548-M1BS-052239075030_01_P002 (PS) (Date: 2007/11/16) * RapidEye 5 m - 2009-05-30T115442_RE2_3A-NAC_ 5465829_104186 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T115443_RE2_3A-NAC_ 5465836_104186 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-10-08T120137_RE4_3A-NAC_ 5465834_104186 (XS) (Date: 2009/10/08) * RapidEye 5 m - 2009-10-08T120140_RE4_3A-NAC_ 5465835_104186 (XS) (Date: 2009/10/08) * RapidEye 5 m - 2009-10-08T120141_RE4_3A-NAC_ 5465830_104186 (XS) (Date: 2009/10/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/857aeab5-095d-4494-a2d0-737cd4d283e0	None	None	FALSE	Land use|Portsmouth|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk023l_portsmouth_2007-2009	None	obsolete
12abf56a-4091-4cf3-a265-3c03b56c1b5b	None	Urban Atlas - Portugal - Aveiro	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/12abf56a-4091-4cf3-a265-3c03b56c1b5b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070508_113348_DLR_6847_PRUTM (XS) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113348_DLR_6847_PRUTM (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070722_113135_DLR_7941_PRUTM (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20070722_113139_DLR_7941_PRUTM (P) (Date: 2007/07/22)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/12abf56a-4091-4cf3-a265-3c03b56c1b5b	None	None	FALSE	Aveiro|Land use|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt008l_aveiro_2007	None	obsolete
bcaa5f2c-1b28-4551-84cc-90c33f407397	None	Urban Atlas - Ireland - Cork (Corcaigh)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bcaa5f2c-1b28-4551-84cc-90c33f407397.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50142441002101143302B0 (PS) (Date: 2010/02/10) * Spot 5 2,50 m - 50142441002201151202B8 (PS) (Date: 2010/02/20) * Spot 5 2,50 m - 50142441004121210582B0 (PS) (Date: 2010/04/12) * Spot 5 2,50 m - 50142451002101143382B0 (PS) (Date: 2010/02/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bcaa5f2c-1b28-4551-84cc-90c33f407397	None	None	FALSE	Ireland|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-ie002l_cork_2010	None	obsolete
dbf9b4db-de93-4d41-a531-8aa0d6ddafe3	None	Urban Atlas - United Kingdom - Stoke-on-Trent	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dbf9b4db-de93-4d41-a531-8aa0d6ddafe3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50622420605041143091B2 (PS) (Date: 2006/05/04)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dbf9b4db-de93-4d41-a531-8aa0d6ddafe3	2006	2006	FALSE	Land use|Stoke-on-Trent|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk027l_stoke_on_trent_2006	None	obsolete
5a092811-7dfe-4a0e-a59d-d6fa30d80443	None	Urban Atlas - Spain - Valencia	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a092811-7dfe-4a0e-a59d-d6fa30d80443.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070310_105735_DLR_5986_PREU (XS) (Date: 2007/03/10) * ALOS 2,50 m - AL_AV2_X_20070310_105743_DLR_5986_PREU (XS) (Date: 2007/03/10) * ALOS 2,50 m - AL_AV2_X_20070512_105944_DLR_6905_PREU (XS) (Date: 2007/05/12) * ALOS 2,50 m - AL_PSM_P_20070310_105735_DLR_5986_PREU (P) (Date: 2007/03/10) * ALOS 2,50 m - AL_PSM_P_20070310_105739_DLR_5986_PREU (P) (Date: 2007/03/10) * ALOS 2,50 m - AL_PSM_P_20070310_105743_DLR_5986_PREU (P) (Date: 2007/03/10) * ALOS 2,50 m - AL_PSM_P_20070512_105944_DLR_6905_PREU (P) (Date: 2007/05/12) * ALOS 2,50 m - AL_PSM_P_20070512_105948_DLR_6905_PREU (P) (Date: 2007/05/12) * ALOS 2,50 m - AL_PSM_P_20080629_105613_DLR_12944_PREU (P) (Date: 2008/06/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a092811-7dfe-4a0e-a59d-d6fa30d80443	2007	2008	TRUE	Land use|Spain|Valencia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es003l_valencia_2007-2008	None	obsolete
671488b2-0a90-48b2-9e9c-08b2e258dc84	None	Urban Atlas - Poland - Lublin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/671488b2-0a90-48b2-9e9c-08b2e258dc84.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394011 (PS) (Date: 2005/09/28) * Spot 5 2,50 m - 00186394012 (PS) (Date: 2005/09/28) * Spot 5 2,50 m - 00186394028 (PS) (Date: 2006/07/07) * Spot 5 2,50 m - 00186394029 (PS) (Date: 2006/07/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/671488b2-0a90-48b2-9e9c-08b2e258dc84	2005	2006	TRUE	Land use|Lublin|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl009l_lublin_2005-2006	None	obsolete
a66983ee-46fa-4d65-8db2-41162125d77b	None	Urban Atlas - Netherlands - Leeuwarden	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a66983ee-46fa-4d65-8db2-41162125d77b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50422420509031116351B0 (PS) (Date: 2005/09/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a66983ee-46fa-4d65-8db2-41162125d77b	2005	2005	FALSE	Land use|Leeuwarden|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-nl015l_leeuwarden_2005	None	obsolete
32024ae0-41cd-4d12-8320-32075c61f45d	None	Urban Atlas - Netherlands - Tilburg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/32024ae0-41cd-4d12-8320-32075c61f45d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157030 (PS) (Date: 2006/05/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32024ae0-41cd-4d12-8320-32075c61f45d	2006	2006	FALSE	Land use|Netherlands|Tilburg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl006l_tilburg_2006	None	obsolete
f19b83ec-488e-412c-9d59-9f7c6e1de361	None	Urban Atlas - France - Toulon	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f19b83ec-488e-412c-9d59-9f7c6e1de361.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070315_110240_DLR_6059_PREU (XS) (Date: 2007/03/15) * ALOS 2,50 m - AL_AV2_X_20080326_103259_DLR_11558_PREU (XS) (Date: 2008/03/26) * ALOS 2,50 m - AL_PSM_P_20070809_103503_DLR_8203_PREU (P) (Date: 2007/08/09) * ALOS 2,50 m - AL_PSM_P_20070826_103708_DLR_8451_PREU (P) (Date: 2007/08/26) * ALOS 2,50 m - AL_PSM_P_20080326_103303_DLR_11558_PREU (P) (Date: 2008/03/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f19b83ec-488e-412c-9d59-9f7c6e1de361	2007	2008	TRUE	France|Land use|Toulon	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-fr032l_toulon_2007-2008	None	obsolete
147e2d2f-4f15-467e-bcfa-c66d265eb5ec	None	Urban Atlas - Germany - Trier	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/147e2d2f-4f15-467e-bcfa-c66d265eb5ec.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538002 (PS) (Date: 2005/05/28) * Spot 5 2,50 m - 00183756066 (PS) (Date: 2008/05/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/147e2d2f-4f15-467e-bcfa-c66d265eb5ec	2005	2008	TRUE	Germany|Land use|Trier	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de026l_trier_2005-2008	None	obsolete
f6dce118-ab34-4d42-b80f-cc2d4f633c4b	None	Urban Atlas - Bulgaria - Burgas (Бургас)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f6dce118-ab34-4d42-b80f-cc2d4f633c4b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50962640705160912332B0 (PS) (Date: 2007/05/16) * Spot 5 2,50 m - 50962650705160912422B0 (PS) (Date: 2007/05/16) * Spot 5 2,50 m - 50972650607240906482B0 (PS) (Date: 2006/07/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f6dce118-ab34-4d42-b80f-cc2d4f633c4b	2006	2007	TRUE	Bulgaria|Burgas|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-bg004l_burgas_2006-2007	None	obsolete
fa567cec-87c4-478c-9db6-99ca8e48a518	None	Urban Atlas - France - Bordeaux	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa567cec-87c4-478c-9db6-99ca8e48a518.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50372600507201045092B0 (PS) (Date: 2005/07/20) * Spot 5 2,50 m - 00185797001 (P) (Date: 2004/03/06) * Spot 5 2,50 m - 00185797002 (P) (Date: 2005/09/03) * Spot 5 2,50 m - 00185797003 (P) (Date: 2006/06/06) * Spot 5 10 m - 00185797004 (XS) (Date: 2004/03/06) * Spot 5 10 m - 00185797005 (XS) (Date: 2005/09/03) * Spot 5 10 m - 00185797006 (XS) (Date: 2006/06/06) * ALOS 2,50 m - Ortho_PAN_217560226_20050610 (P) (Date: 2005/06/10) * ALOS 2,50 m - Ortho_PAN_217560227_20050610 (P) (Date: 2005/06/10) * ALOS 2,50 m - Ortho_PAN_217560228_20050610 (P) (Date: 2005/06/10) * ALOS 2,50 m - Ortho_PAN_217570226_20060721 (P) (Date: 2006/07/21) * ALOS 2,50 m - Ortho_PAN_217570227_20060721 (P) (Date: 2006/07/21) * ALOS 2,50 m - Ortho_PAN_217570228_20060721 (P) (Date: 2006/07/21) * ALOS 2,50 m - Ortho_PAN_217570229_20060721 (P) (Date: 2006/07/21) * ALOS 2,50 m - Ortho_PAN_217580225_20060809 (P) (Date: 2006/08/09) * ALOS 2,50 m - Ortho_PAN_217580226_20060809 (P) (Date: 2006/08/09) * ALOS 2,50 m - Ortho_PAN_217580227_20060809 (P) (Date: 2006/08/09) * ALOS 2,50 m - Ortho_PAN_217580228_20060809 (P) (Date: 2006/08/09) * ALOS 10 m - Ortho_MS_217560226_20050610 (XS) (Date: 2005/06/10) * ALOS 10 m - Ortho_MS_217560227_20050610 (XS) (Date: 2005/06/10) * ALOS 10 m - Ortho_MS_217560228_20050610 (XS) (Date: 2005/06/10) * ALOS 10 m - Ortho_MS_217570226_20060721 (XS) (Date: 2006/07/21) * ALOS 10 m - Ortho_MS_217570227_20060721 (XS) (Date: 2006/07/21) * ALOS 10 m - Ortho_MS_217570228_20060721 (XS) (Date: 2006/07/21) * ALOS 10 m - Ortho_MS_217570229_20060721 (XS) (Date: 2006/07/21) * ALOS 10 m - Ortho_MS_217580225_20060809 (XS) (Date: 2006/08/09) * ALOS 10 m - Ortho_MS_217580226_20060809 (XS) (Date: 2006/08/09) * ALOS 10 m - Ortho_MS_217580227_20060809 (XS) (Date: 2006/08/09) * ALOS 10 m - Ortho_MS_217580228_20060809 (XS) (Date: 2006/08/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa567cec-87c4-478c-9db6-99ca8e48a518	2004	2006	TRUE	Bordeaux|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-fr007l_bordeaux_2004-2006	None	obsolete
c84d8691-78b2-455a-997f-0c09437fc9fc	None	Urban Atlas - France - Grenoble	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c84d8691-78b2-455a-997f-0c09437fc9fc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157011 (PS) (Date: 2005/08/31) * Spot 5 2,50 m - 00187157027 (PS) (Date: 2005/10/28) * Spot 5 2,50 m - 00187157028 (PS) (Date: 2005/10/28) * Spot 5 2,50 m - 00187157039 (PS) (Date: 2007/09/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c84d8691-78b2-455a-997f-0c09437fc9fc	2005	2007	TRUE	France|Grenoble|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr026l_grenoble_2005-2007	None	obsolete
43ef20b4-06e5-4fb7-9551-6622219cd82c	None	Urban Atlas - Italy - Naples (Napoli)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/43ef20b4-06e5-4fb7-9551-6622219cd82c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538007 (PS) (Date: 2005/07/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43ef20b4-06e5-4fb7-9551-6622219cd82c	2005	2005	FALSE	Italy|Land use|Naples	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it003l_napoli_2005	None	obsolete
ff9ada27-5980-4a3b-b042-b3b8e327b06f	None	Urban Atlas - Slovakia - Nitra	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ff9ada27-5980-4a3b-b042-b3b8e327b06f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157033 (PS) (Date: 2006/07/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff9ada27-5980-4a3b-b042-b3b8e327b06f	2006	2006	FALSE	Land use|Nitra|Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-sk004l_nitra_2006	None	obsolete
aea3b249-ecc0-4eae-bc18-7e897fbee680	None	Urban Atlas - United Kingdom - Wolverhampton	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aea3b249-ecc0-4eae-bc18-7e897fbee680.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50262430611031124151B2 (PS) (Date: 2006/11/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aea3b249-ecc0-4eae-bc18-7e897fbee680	2006	2006	FALSE	Land use|United Kingdom|Wolverhampton	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk028l_wolverhampton_2006	None	obsolete
53e2fb6d-4101-4392-8744-bc7ada91ec97	None	Urban Atlas - Spain - Gijón	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53e2fb6d-4101-4392-8744-bc7ada91ec97.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186393005 (PS) (Date: 2006/10/14) * Spot 5 2,50 m - 00186393010 (PS) (Date: 2008/07/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53e2fb6d-4101-4392-8744-bc7ada91ec97	2006	2008	TRUE	Gijón|Land use|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es023l_gijon_2006-2008	None	obsolete
650c3735-28c7-43bb-b521-3952ce4d6246	None	Urban Atlas 2006 - series	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/650c3735-28c7-43bb-b521-3952ce4d6246.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Urban Atlas contains information derived mainly from Earth Observation (EO) data with support by other reference data, such as COTS navigation data and topographic maps.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/650c3735-28c7-43bb-b521-3952ce4d6246	2004	2010	TRUE	Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_42001_10_k_urban-atlas_series	None	obsolete
667b1137-d84e-4abb-9340-5bb8f6cc0e40	None	Urban Atlas - Romania - Oradea	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/667b1137-d84e-4abb-9340-5bb8f6cc0e40.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394037 (PS) (Date: 2007/04/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/667b1137-d84e-4abb-9340-5bb8f6cc0e40	2007	2007	FALSE	Land use|Oradea|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-ro006l_oradea_2007	None	obsolete
c89e5d9a-911e-4772-bec9-909e487d9e25	None	Urban Atlas - Bulgaria - Ruse (Русе)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c89e5d9a-911e-4772-bec9-909e487d9e25.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50922610508300914472B0 (PS) (Date: 2005/08/30) * Spot 5 2,50 m - 50922610709280913532B9 (PS) (Date: 2007/09/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c89e5d9a-911e-4772-bec9-909e487d9e25	2005	2007	TRUE	Bulgaria|Land use|Ruse	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-bg006l_ruse_2005-2007	None	obsolete
a0340d4e-a80d-48b5-8603-50fd00961a7c	None	Urban Atlas - Poland - Warsaw (Warszawa)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0340d4e-a80d-48b5-8603-50fd00961a7c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800003 (PS) (Date: 2005/09/19) * Spot 5 2,50 m - 00182800016 (PS) (Date: 2006/07/27) * Spot 5 2,50 m - 00182800039 (PS) (Date: 2007/10/16) * Spot 5 2,50 m - 00182800041 (PS) (Date: 2007/10/16) * Spot 5 2,50 m - 00182800043 (PS) (Date: 2007/10/17) * Spot 5 2,50 m - 00182800044 (PS) (Date: 2007/10/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0340d4e-a80d-48b5-8603-50fd00961a7c	2005	2007	TRUE	Land use|Poland|Warsaw	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl001l_warszawa_2005-2007	None	obsolete
d2d17b33-db09-4534-aa96-2ad54f655ba3	None	Urban Atlas - France - Paris	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d2d17b33-db09-4534-aa96-2ad54f655ba3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50392520708271110092J0 (XS) (Date: 2007/08/27) * Spot 5 10 m - 50412530506081052342J0 (XS) (Date: 2005/06/08) * Spot 5 10 m - 50422520604221034482J0 (XS) (Date: 2006/04/22) * Spot 5 2,50 m - 50382500508291114021B2 (P) (Date: 2005/08/29) * Spot 5 2,50 m - 50392510507131118412B2 (P) (Date: 2005/07/13) * Spot 5 2,50 m - 50392520708271110072B3 (P) (Date: 2007/08/27) * Spot 5 2,50 m - 50412510710231113032B0 (P) (Date: 2007/10/23) * Spot 5 2,50 m - 50422510512171056482B3 (P) (Date: 2005/12/17) * ALOS 2,50 m - AL_AV2_X_20070311_113513_DLR_6001_PRUTM (XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_AV2_X_20070311_113521_DLR_6001_PRUTM (XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_AV2_X_20070311_113529_DLR_6001_PRUTM (XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_AV2_X_20080427_105220_DLR_12025_PRUTM (XS) (Date: 2008/04/27) * ALOS 2,50 m - AL_AV2_X_20080920_112219_DLR_14155_PRUTM (XS) (Date: 2008/09/20) * ALOS 2,50 m - AL_AV2_X_20080920_112227_DLR_14155_PRUTM (XS) (Date: 2008/09/20) * ALOS 10 m - AL_PSM_P_20070310_105503_DLR_5986_PRUTM (Date: 2007/03/10) * ALOS 10 m - AL_PSM_P_20070310_105507_DLR_5986_PRUTM (Date: 2007/03/10) * ALOS 10 m - AL_PSM_P_20070610_105511_DLR_7328_PRUTM (Date: 2007/06/10) * ALOS 10 m - AL_PSM_P_20070610_105515_DLR_7328_PRUTM (Date: 2007/06/10) * ALOS 10 m - AL_PSM_P_20070726_105459_DLR_7999_PRUTM (Date: 2007/07/26) * ALOS 10 m - AL_PSM_P_20070726_105503_DLR_7999_PRUTM (Date: 2007/07/26) * ALOS 10 m - AL_PSM_P_20080427_105212_DLR_12025_PRUTM (Date: 2008/04/27) * ALOS 10 m - AL_PSM_P_20080427_105216_DLR_12025_PRUTM (Date: 2008/04/27) * ALOS 10 m - AL_PSM_P_20080427_105220_DLR_12025_PRUTM (Date: 2008/04/27) * ALOS 10 m - AL_PSM_P_20080427_105225_DLR_12025_PRUTM (Date: 2008/04/27) * ALOS 10 m - AL_PSM_P_20080427_105229_DLR_12025_PRUTM (Date: 2008/04/27) * ALOS 10 m - AL_PSM_P_20080514_105408_DLR_12273_PRUTM (Date: 2008/05/14) * ALOS 10 m - AL_PSM_P_20080514_105412_DLR_12273_PRUTM (Date: 2008/05/14) * ALOS 10 m - AL_PSM_P_20080514_105416_DLR_12273_PRUTM (Date: 2008/05/14) * ALOS 10 m - AL_PSM_P_20080716_105558_DLR_13192_PRUTM (Date: 2008/07/16) * ALOS 10 m - AL_PSM_P_20090320_110151_DLR_16795_PRUTM (Date: 2009/03/20) * ALOS 10 m - AL_PSM_P_20090401_105739_DLR_16970_PRUTM (Date: 2009/04/01) * ALOS 10 m - AL_PSM_P_20090401_105744_DLR_16970_PRUTM (Date: 2009/04/01) * ALOS 10 m - AL_PSM_P_20090401_105748_DLR_16970_PRUTM (Date: 2009/04/01) * ALOS 10 m - AL_PSM_P_20090401_105752_DLR_16970_PRUTM (Date: 2009/04/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d2d17b33-db09-4534-aa96-2ad54f655ba3	2005	2009	TRUE	France|Land use|Paris	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr001l_paris_2005-2009	None	obsolete
462c3f35-512d-4bb9-a82c-4ad2c7f57021	None	Urban Atlas - Slovakia - Bratislava	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/462c3f35-512d-4bb9-a82c-4ad2c7f57021.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784027 (XS) (Date: 2005/10/30) * Spot 5 2,50 m - 00182784029 (XS) (Date: 2007/07/20) * Spot 5 2,50 m - 00182784030 (XS) (Date: 2007/07/20) * Spot 5 2,50 m - 001182793028 (P) (Date: 2007/07/20) * Spot 5 2,50 m - 001182793029 (P) (Date: 2007/07/20) * Spot 5 2,50 m - 001182793033 (P) (Date: 2007/07/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/462c3f35-512d-4bb9-a82c-4ad2c7f57021	2005	2007	TRUE	Bratislava|Land use|Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-sk001l_bratislava_2005-2007	None	obsolete
d710f350-b942-494e-ac6a-846fa936b162	None	Urban Atlas - Italy - Verona	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d710f350-b942-494e-ac6a-846fa936b162.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070713_101924_DLR_7809_PRUTM (XS) (Date: 2007/07/13) * ALOS 2,50 m - AL_AV2_X_20070713_101933_DLR_7809_PRUTM (XS) (Date: 2007/07/13) * ALOS 2,50 m - AL_PSM_P_20061010_101823_DLR_3783_PRUTM (P) (Date: 2006/10/10) * ALOS 2,50 m - AL_PSM_P_20061010_101827_DLR_3783_PRUTM (P) (Date: 2006/10/10) * ALOS 2,50 m - AL_PSM_P_20070713_101924_DLR_7809_PRUTM (P) (Date: 2007/07/13) * ALOS 2,50 m - AL_PSM_P_20070713_101929_DLR_7809_PRUTM (P) (Date: 2007/07/13) * ALOS 2,50 m - AL_PSM_P_20080628_101352_DLR_12929_PRUTM (P) (Date: 2008/06/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d710f350-b942-494e-ac6a-846fa936b162	2006	2008	TRUE	Italy|Land use|Verona	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it012l_verona_2006-2008	None	obsolete
ef05c800-030c-441e-a83b-621a38d488e7	None	Urban Atlas - Poland - Opole	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef05c800-030c-441e-a83b-621a38d488e7.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50692470709251010211B8 (PS) (Date: 2007/09/25) * Spot 5 2,50 m - 50702470609120943351B0 (PS) (Date: 2006/09/12) * Spot 5 2,50 m - 50702480609120943431B0 (PS) (Date: 2006/09/12)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef05c800-030c-441e-a83b-621a38d488e7	2006	2007	TRUE	Land use|Opole|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl016l_opole_2006-2007	None	obsolete
be3d2731-764e-4c19-9e43-00a005d1e87e	None	Urban Atlas - Belgium - Bruges (Brugge)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/be3d2731-764e-4c19-9e43-00a005d1e87e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538045 (PS) (Date: 2006/10/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/be3d2731-764e-4c19-9e43-00a005d1e87e	2006	2006	FALSE	Belgium|Bruges|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be006l_brugge_2006	None	obsolete
b738b0b0-a4d9-4cfd-aa7f-d6fba6163bac	None	Urban Atlas - Romania - Cluj-Napoca	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b738b0b0-a4d9-4cfd-aa7f-d6fba6163bac.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00185800033 (PS) (Date: 2006/10/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b738b0b0-a4d9-4cfd-aa7f-d6fba6163bac	2006	2006	FALSE	Cluj-Napoca|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-ro002l_cluj_napoca_2006	None	obsolete
1893d59d-3af7-4b27-8459-ad385dc91803	None	Urban Atlas - Hungary - Debrecen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1893d59d-3af7-4b27-8459-ad385dc91803.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183535048 (PS) (Date: 2006/10/18) * Spot 5 2,50 m - 00183756059 (PS) (Date: 2007/08/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1893d59d-3af7-4b27-8459-ad385dc91803	2006	2007	TRUE	Debrecen|Hungary|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu005l_debrecen_2006-2007	None	obsolete
462ab3c1-9fcd-4f9a-b627-25cbbb283505	None	Urban Atlas - Poland - Suwałki	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/462ab3c1-9fcd-4f9a-b627-25cbbb283505.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - SLT-GDF07000?190153001 (PS) (Date: 2007/06/09) * Spot 5 2,50 m - SLT-GDF07000?190153002 (PS) (Date: 2007/06/09) * Spot 5 2,50 m - SLT-GDF07000?190153003 (PS) (Date: 2006/06/21) * Spot 5 2,50 m - SLT-GDF07000?190153004 (PS) (Date: 2006/06/21) * RapidEye 5 m - 2009-04-23T101739_RE3_3A-NAC_6360164_111225 (XS) (Date: 2009/04/23) * RapidEye 5 m - 2009-04-23T101739_RE3_3A-NAC_6360229_111225 (XS) (Date: 2009/04/23) * RapidEye 5 m - 2009-04-23T101742_RE3_3A-NAC_6360160_111225 (XS) (Date: 2009/04/23) * RapidEye 5 m - 2009-04-23T101743_RE3_3A-NAC_6360165_111225 (XS) (Date: 2009/04/23) * RapidEye 5 m - 2009-08-24T102135_RE2_3A-NAC_6359232_111225 (XS) (Date: 2009/08/24) * RapidEye 5 m - 2009-08-24T102139_RE2_3A-NAC_6359233_111225 (XS) (Date: 2009/08/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/462ab3c1-9fcd-4f9a-b627-25cbbb283505	2006	2009	TRUE	Land use|Poland|Suwałki	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl021l_suwalki_2006-2009	None	obsolete
f69ef67d-760f-48a7-9b2a-b0389d19fec3	None	Urban Atlas - Poland - Olsztyn	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f69ef67d-760f-48a7-9b2a-b0389d19fec3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394030 (PS) (Date: 2006/07/11) * Spot 5 2,50 m - 00186394045 (PS) (Date: 2007/09/25) * Spot 5 2,50 m - 00186394046 (PS) (Date: 2007/09/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f69ef67d-760f-48a7-9b2a-b0389d19fec3	2006	2007	TRUE	Land use|Olsztyn|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl014l_olsztyn_2006-2007	None	obsolete
a5737e2a-4947-40e4-8d58-12c0fc72a573	None	Urban Atlas - Estonia - Tallinn	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a5737e2a-4947-40e4-8d58-12c0fc72a573.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784031 (XS) (Date: 2005/09/07) * Spot 5 2,50 m - 00182784032 (XS) (Date: 2006/07/27) * Spot 5 2,50 m - 00182784033 (XS) (Date: 2005/10/13) * Spot 5 2,50 m - 00182784038(XS) (Date: 2006/07/26) * Spot 5 2,50 m - 00182784039 (XS) (Date: 2007/06/08) * Spot 5 2,50 m - 00182793030 (P) (Date: 2005/09/07) * Spot 5 2,50 m - 00182793031 (P) (Date: 2006/07/27) * Spot 5 2,50 m - 00182793032 (P) (Date: 2005/10/13) * Spot 5 2,50 m - 00182793038 (P) (Date: 2006/07/26) * Spot 5 2,50 m - 00182793039 (P) (Date: 2007/06/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5737e2a-4947-40e4-8d58-12c0fc72a573	2005	2007	TRUE	Estonia|Land use|Tallinn	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ee001l_tallinn_2005-2007	None	obsolete
c7babf2b-4a12-40d6-937f-97c86e9fd8ba	None	Urban Atlas - Poland - Gorzów Wielkopolski	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7babf2b-4a12-40d6-937f-97c86e9fd8ba.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50622430510140946541B0 (PS) (Date: 2005/10/14) * Spot 5 2,50 m - 50622430609111002301B0 (PS) (Date: 2006/09/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c7babf2b-4a12-40d6-937f-97c86e9fd8ba	2005	2006	TRUE	Gorzów Wielkopolski|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl017l_gorzow_wielkopolski_2005-2006	None	obsolete
3e121111-aef1-4cbf-810d-b53fd95968ac	None	Urban Atlas - Germany - Saarbrücken	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3e121111-aef1-4cbf-810d-b53fd95968ac.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50482500505281103382B0 (PS) (Date: 2005/05/28) * Spot 5 2,50 m - 50492500506191040111B3 (PS) (Date: 2005/06/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e121111-aef1-4cbf-810d-b53fd95968ac	2005	2005	FALSE	Germany|Land use|Saarbrücken	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de040l_saarbrucken_2005	None	obsolete
b41f6f41-00f5-4475-9073-dbfe3f10d2a4	None	Urban Atlas - Malta - Valletta	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b41f6f41-00f5-4475-9073-dbfe3f10d2a4.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070508_095627_DLR_6846_PREU (XS) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070722_095414_DLR_7940_PREU (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20080423_095136_DLR_11966_PREU (P) (Date: 2008/04/23) * ALOS 2,50 m - AL_PSM_P_20080510_095323_DLR_12214_PREU (P) (Date: 2008/05/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b41f6f41-00f5-4475-9073-dbfe3f10d2a4	2007	2008	TRUE	Land use|Malta|Valletta	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-mt001l_valletta_2007-2008	None	obsolete
69704f5d-fd59-4a9f-a339-e9b3bae62564	None	Urban Atlas - Greece - Volos (Βόλος)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/69704f5d-fd59-4a9f-a339-e9b3bae62564.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070615_092526_DLR_7400_PREU (XS) (Date: 2007/06/15) * ALOS 2,50 m - AL_PSM_P_20080502_092231_DLR_12097_PREU (P) (Date: 2008/05/02) * ALOS 2,50 m - AL_PSM_P_20080502_092235_DLR_12097_PREU (P) (Date: 2008/05/02)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/69704f5d-fd59-4a9f-a339-e9b3bae62564	2007	2008	TRUE	Greece|Land use|Volos	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr006l_volos_2007-2008	None	obsolete
2de25ef0-1fc6-4d65-ba1f-676c93b9fb51	None	Urban Atlas - Greece - Heraklion (Ηράκλειο)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2de25ef0-1fc6-4d65-ba1f-676c93b9fb51.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070704_091128_DLR_7677_PREU (MS) (Date: 2007/07/04) * ALOS 2,50 m - AL_AV2_X_20080607_091009_DLR_12622_PREU (MS) (Date: 2008/06/07) * ALOS 2,50 m - AL_PSM_P_20070704_091128_DLR_7677_PREU (P) (Date: 2007/07/04) * ALOS 2,50 m - AL_PSM_P_20071004_091109_DLR_9019_PREU (P) (Date: 2007/10/04) * ALOS 2,50 m - AL_PSM_P_20080607_091005_DLR_12622_PREU (P) (Date: 2008/06/07) * ALOS 2,50 m - AL_PSM_P_20080607_091009_DLR_12622_PREU (P) (Date: 2008/06/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2de25ef0-1fc6-4d65-ba1f-676c93b9fb51	2007	2008	TRUE	Greece|Heraklion|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-gr004l_iraklion_2007-2008	None	obsolete
01000d62-1669-49c8-8ffa-24df1f857b51	None	Urban Atlas - Belgium - Charleroi	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/01000d62-1669-49c8-8ffa-24df1f857b51.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538014 (PS) (Date: 2005/08/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01000d62-1669-49c8-8ffa-24df1f857b51	2005	2005	FALSE	Belgium|Charleroi|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be004l_charleroi_2005	None	obsolete
04c8ef74-d29e-415d-9a45-3ac71b339800	None	Urban Atlas - Germany - Koblenz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/04c8ef74-d29e-415d-9a45-3ac71b339800.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50482480607141038081B0 (PS) (Date: 2006/07/14) * Spot 5 2,50 m - 50492470703111021401B7 (PS) (Date: 2007/03/11) * ALOS 2,5 m - AL_AV2_X_20080701_103603_DLR_12973_PRUTM (XS) (Date: 2008/07/01) * ALOS 2,5 m - AL_AV2_X_20080701_103611_DLR_12973_PRUTM (XS) (Date: 2008/07/01) * ALOS 2,5 m - AL_PSM_P_20080701_103603_DLR_12973_PRUTM (P) (Date: 2008/07/01) * ALOS 2,5 m - AL_PSM_P_20080701_103607_DLR_12973_PRUTM (P) (Date: 2008/07/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/04c8ef74-d29e-415d-9a45-3ac71b339800	2006	2008	TRUE	Germany|Koblenz|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de042l_koblenz_2006-2008	None	obsolete
afa92aa0-1a59-41ca-a4af-97b2574d221c	None	Urban Atlas - Germany - Weimar	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/afa92aa0-1a59-41ca-a4af-97b2574d221c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50572460507111015562B8 (P) (Date: 2005/07/11) * Spot 5 2,50 m - 50572470507111016042B0 (P) (Date: 2005/07/11) * ALOS 10 m - AL_AV2_X_20070416_094355_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 10 m - AL_AV2_X_20070416_094403_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 2,50 m - AL_PSM_P_20070504_102629_DLR_6788_PRUTM (P) (Date: 2007/05/04) * ALOS 2,50 m - AL_PSM_P_20070504_102633_DLR_6788_PRUTM (P) (Date: 2007/05/04)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/afa92aa0-1a59-41ca-a4af-97b2574d221c	2005	2007	TRUE	Germany|Land use|Weimar	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de030l_weimar_2005-2007	None	obsolete
f2c50658-8871-405f-9c7c-434e255f4aca	None	Urban Atlas - Czech Republic - Ústí nad Labem	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f2c50658-8871-405f-9c7c-434e255f4aca.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538019 (PS) (Date: 2005/09/21) * Spot 5 2,50 m - 00183538065 (PS) (Date: 2007/09/30)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f2c50658-8871-405f-9c7c-434e255f4aca	2005	2007	TRUE	Czechia|Land use|Ústí nad Labem	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz005l_usti_nad_labem_2005-2007	None	obsolete
47a26fe5-2a3e-4b12-9949-7a84770b8f86	None	Urban Atlas - Poland - Jelenia Góra	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/47a26fe5-2a3e-4b12-9949-7a84770b8f86.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50652470709241029441B0 (PS) (Date: 2007/09/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47a26fe5-2a3e-4b12-9949-7a84770b8f86	2007	2007	FALSE	Jelenia Góra|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl019l_jelenia_gora_2007	None	obsolete
21cf15c5-ab72-4bd2-8ad4-74be6193864a	None	Urban Atlas - Slovakia - Banská Bystrica	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/21cf15c5-ab72-4bd2-8ad4-74be6193864a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186393008 (PS) (Date: 2007/09/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/21cf15c5-ab72-4bd2-8ad4-74be6193864a	2007	2007	FALSE	Banská Bystrica|Land use|Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-sk003l_banska_bystrica_2007	None	obsolete
d12567a1-34c5-482f-898f-01b40c3f54d8	None	Urban Atlas - Ireland - Galway (Gaillimh)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d12567a1-34c5-482f-898f-01b40c3f54d8.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - Galway (PS) (Date: 2006/06/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d12567a1-34c5-482f-898f-01b40c3f54d8	2006	2006	FALSE	Galway|Ireland|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-ie004c_galway_2006	None	obsolete
69465fa4-f9d3-4faf-88a0-fb435e3fb2fe	None	Urban Atlas - Bulgaria - Stara Zagora (Стара Загора)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/69465fa4-f9d3-4faf-88a0-fb435e3fb2fe.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50932650708290851501B0 (P) (Date: 2007/08/29) * ALOS 10 m - AL_AV2_X_20070709_091559_DLR_7750_PRUTM (XS) (Date: 2007/07/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/69465fa4-f9d3-4faf-88a0-fb435e3fb2fe	2007	2007	FALSE	Bulgaria|Land use|Stara Zagora	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-bg501c_starazagora_2007	None	obsolete
42b70b86-ca54-4a93-81a1-f75b373db3bc	None	Urban Atlas - Malta - Gozo (Għawdex)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/42b70b86-ca54-4a93-81a1-f75b373db3bc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070508_095627_DLR_6846_PRUTM (XS) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070623_095621_DLR_7517_PRUTM (P) (Date: 2007/06/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42b70b86-ca54-4a93-81a1-f75b373db3bc	2007	2007	FALSE	Gozo|Land use|Malta	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-mt002l_gozo_2007	None	obsolete
5f7b4546-a22a-45a6-985b-95ebad957906	None	Urban Atlas - France - Reims	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f7b4546-a22a-45a6-985b-95ebad957906.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50412500509031117441B0 (PS) (Date: 2005/09/03) * Spot 5 2,50 m - 50432500606081030422B2 (PS) (Date: 2006/06/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f7b4546-a22a-45a6-985b-95ebad957906	2005	2006	TRUE	France|Land use|Reims	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr018l_reims_2005-2006	None	obsolete
79e8349a-c0d2-4090-b31f-fef80efb4f6e	None	Urban Atlas - United Kingdom - Worcester	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/79e8349a-c0d2-4090-b31f-fef80efb4f6e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50262440606171057152B0 (PS) (Date: 2006/11/03) * Spot 5 2,50 m - 50262440611031124231B0 (PS) (Date: 2006/06/17) * Spot 5 2,50 m - 50292441004211057302B0 (PS) (Date: 2010/04/21) * Spot 5 2,50 m - 50292450611041105122B0(PS) (Date: 2006/11/04) * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P001 (PS) (Date: 2005/09/12) * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P002 (PS) (Date: 2005/09/12) * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P003 (PS) (Date: 2005/09/12) * Spot 5 2,50 m - 05SEP12112653-M2AS-052362084010_01_P004 (PS) (Date: 2005/09/12)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79e8349a-c0d2-4090-b31f-fef80efb4f6e	2005	2010	TRUE	Land use|United Kingdom|Worcester	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk024l_worcester_2005-2010	None	obsolete
be025f64-98b2-463b-ae83-0be7a3de7856	None	Urban Atlas - France - Montpellier	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/be025f64-98b2-463b-ae83-0be7a3de7856.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20080619_104212_DLR_12798_PREU (XS) (Date: 2008/06/19) * ALOS 2,50 m - AL_PSM_P_20080504_104252_DLR_12127_PREU (P) (Date: 2008/05/04) * ALOS 2,50 m - AL_PSM_P_20080619_104212_DLR_12798_PREU (P) (Date: 2008/06/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/be025f64-98b2-463b-ae83-0be7a3de7856	2008	2008	FALSE	France|Land use|Montpellier	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr010c_montpellier_2008	None	obsolete
b63c0e3f-0b27-46f7-98d0-4574e0b35976	None	Urban Atlas - Belgium - Ghent (Gent)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b63c0e3f-0b27-46f7-98d0-4574e0b35976.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538026 (PS) (Date: 2005/10/27) * Spot 5 2,50 m - 00183756038 (PS) (Date: 2006/09/13) * Spot 5 2,50 m - 00183756046 (PS) (Date: 2006/10/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b63c0e3f-0b27-46f7-98d0-4574e0b35976	2005	2006	TRUE	Belgium|Ghent|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be003l_gent_2005-2006	None	obsolete
6e311a94-a39f-4010-8d82-3125f058b824	None	Urban Atlas - France - Lens-Liévin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e311a94-a39f-4010-8d82-3125f058b824.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070829_105841_DLR_8495_PREU (XS) (Date: 2007/08/29) * ALOS 2,50 m - AL_PSM_P_20070829_105841_DLR_8495_PREU (P) (Date: 2007/08/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e311a94-a39f-4010-8d82-3125f058b824	2007	2007	FALSE	France|Land use|Lens-Liévin	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr207c_lens_lievin_2007	None	obsolete
80645d79-e4e8-42e0-8238-a3b33e5668c7	None	Urban Atlas - Poland - Wrocław	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/80645d79-e4e8-42e0-8238-a3b33e5668c7.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00185800023 (PS) (Date: 2007/10/15) * Spot 5 2,50 m - 00185800024 (PS) (Date: 2007/10/15) * Spot 5 2,50 m - 00185800025 (PS) (Date: 2006/07/06) * Spot 5 2,50 m - 00185800026 (PS) (Date: 2008/07/02)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80645d79-e4e8-42e0-8238-a3b33e5668c7	2006	2008	TRUE	Land use|Poland|Wrocław	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl004l_wroclaw_2006-2008	None	obsolete
680e26cc-cfb7-4558-b864-c4d2585a95fb	None	Urban Atlas - Romania - Alba Iulia	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/680e26cc-cfb7-4558-b864-c4d2585a95fb.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50862570609070940431B0 (PS) (Date: 2006/09/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/680e26cc-cfb7-4558-b864-c4d2585a95fb	2006	2006	FALSE	Alba Iulia|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-ro014l_alba_iulia_2006	None	obsolete
57b3375a-0a04-4753-820b-9da200ee23a8	None	Urban Atlas - France - Lille	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/57b3375a-0a04-4753-820b-9da200ee23a8.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070829_105833_DLR_8495_PREU (XS) (Date: 2007/08/29) * ALOS 2,50 m - AL_AV2_X_20070829_105841_DLR_8495_PREU (XS) (Date: 2007/08/29) * ALOS 2,50 m - AL_PSM_P_20070829_105837_DLR_8495_PREU (P) (Date: 2007/08/29) * ALOS 2,50 m - AL_PSM_P_20070829_105841_DLR_8495_PREU (P) (Date: 2007/08/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57b3375a-0a04-4753-820b-9da200ee23a8	2007	2007	FALSE	France|Land use|Lille	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr009c_lille_2007	None	obsolete
ee232f75-68e9-4ebc-ab3e-8b11e310922d	None	Urban Atlas - Germany - Göttingen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee232f75-68e9-4ebc-ab3e-8b11e310922d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50522460510071022292J0 (XS) (Date: 2005/10/07) * Spot 5 10 m - 50532450509011015122J0 (XS) (Date: 2005/09/01) * Spot 2,50 m - 50502450607031049111B0 (P) (Date: 2006/07/03) * Spot 2,50 m - 50532450509061018562B3 (P) (Date: 2005/09/06) * ALOS 10 m - AL_AV2_X_20070422_103045_DLR_6613_PRUTM (XS) (Date: 2007/04/22) * ALOS 10 m - AL_AV2_X_20070422_103053_DLR_6613_PRUTM (XS) (Date: 2007/04/22) * ALOS 2,50 m - AL_PSM_P_20080511_102942_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20080511_102946_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20080511_102950_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20090410_102908_DLR_17101_PRUTM (P) (Date: 2008/05/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee232f75-68e9-4ebc-ab3e-8b11e310922d	2005	2008	TRUE	Germany|Göttingen|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de021l_gottingen_2005-2008	None	obsolete
c8ecdabf-2e71-4d0b-b27d-9d409ce8cb6f	None	Urban Atlas - Spain - Santander	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c8ecdabf-2e71-4d0b-b27d-9d409ce8cb6f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50322620610131130401B7 (PS) (Date: 2006/10/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c8ecdabf-2e71-4d0b-b27d-9d409ce8cb6f	2006	2006	FALSE	Land use|Santander|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es015l_santander_2006	None	obsolete
301fa364-8c1a-4dc9-9916-7fe59bd87991	None	Urban Atlas - Hungary - Szeged	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/301fa364-8c1a-4dc9-9916-7fe59bd87991.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186393006 (PS) (Date: 2007/06/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/301fa364-8c1a-4dc9-9916-7fe59bd87991	2007	2007	FALSE	Hungary|Land use|Szeged	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_50_k_urban-atlas-hu006l_szeged_2007	None	obsolete
69323ef0-64b1-43b5-8b64-c3e318fcf6ce	None	Urban Atlas - Italy - Pescara	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/69323ef0-64b1-43b5-8b64-c3e318fcf6ce.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070715_100303_DLR_7838_PRUTM (XS) (Date: 2007/07/15) * ALOS 2,50 m - AL_AV2_X_20070715_100312_DLR_7838_PRUTM (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20070715_100308_DLR_7838_PRUTM (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20070715_100312_DLR_7838_PRUTM (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20080601_095948_DLR_12535_PRUTM (P) (Date: 2008/06/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/69323ef0-64b1-43b5-8b64-c3e318fcf6ce	2007	2008	TRUE	Italy|Land use|Pescara	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it019l_pescara_2007-2008	None	obsolete
500b154c-f99b-4235-97c5-7ef48dfc67d5	None	Urban Atlas - Sweden - Linköping	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/500b154c-f99b-4235-97c5-7ef48dfc67d5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394021 (PS) (Date: 2006/06/13) * Spot 5 2,50 m - 00186394034 (PS) (Date: 2006/09/25) * Spot 5 2,50 m - 00186394035 (PS) (Date: 2006/09/25) * Spot 5 2,50 m - 00186394036 (PS) (Date: 2006/09/25) * Spot 5 2,50 m - 00186394038 (PS) (Date: 2007/04/26) * Spot 5 2,50 m - 00186394039 (PS) (Date: 2007/04/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/500b154c-f99b-4235-97c5-7ef48dfc67d5	2006	2007	TRUE	Land use|Linköping|Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-se007l_linkoping_2006-2007	None	obsolete
4bd5fcfa-fb9f-4ae0-a1d9-70311acbeec1	None	Urban Atlas - United Kingdom - Nottingham	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4bd5fcfa-fb9f-4ae0-a1d9-70311acbeec1.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50292420609171128002B4 (PS) (Date: 2006/09/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bd5fcfa-fb9f-4ae0-a1d9-70311acbeec1	2006	2006	FALSE	Land use|Nottingham|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk029l_nottingham_2006	None	obsolete
ce4ab96a-4339-474b-9a55-9179d96dc9fc	None	Urban Atlas - Poland - Łódź	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce4ab96a-4339-474b-9a55-9179d96dc9fc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00182800002 (PS) (Date: 2005/09/18) * SPOT 5 2,50 m - 00182800040 (PS) (Date: 2007/10/16) * SPOT 5 2,50 m - 00182800045 (PS) (Date: 2008/08/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce4ab96a-4339-474b-9a55-9179d96dc9fc	2005	2008	TRUE	Land use|Poland|Łódź	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl002l_lodz_2005-2008	None	obsolete
7f8f71aa-5960-4ca3-9215-045ea458d5fd	None	Urban Atlas - Poland - Poznań	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7f8f71aa-5960-4ca3-9215-045ea458d5fd.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00183538060 (PS) (Date: 2007/09/24) * SPOT 5 2,50 m - 00183538061 (PS) (Date: 2007/09/24) * SPOT 5 2,50 m - 00183538062 (PS) (Date: 2007/09/25) * SPOT 5 2,50 m - 00183538063 (PS) (Date: 2007/09/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7f8f71aa-5960-4ca3-9215-045ea458d5fd	2007	2007	FALSE	Land use|Poland|Poznań	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl005l_poznan_2007	None	obsolete
091dceb0-9828-440f-803b-8b78baf88787	None	Urban Atlas - Slovakia - Žilina	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/091dceb0-9828-440f-803b-8b78baf88787.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50722500705131009022B0 (PS) (Date: 2007/05/13) * Spot 5 2,50 m - 50722510705131009112B0 (PS) (Date: 2007/05/13) * Spot 5 2,50 m - 50742500708060933011B3(PS) (Date: 2007/08/06)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/091dceb0-9828-440f-803b-8b78baf88787	2007	2007	FALSE	Land use|Slovakia|Žilina	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-sk006l_zilina_2007	None	obsolete
c336546a-78a2-433a-ae83-c090be3c4f54	None	Urban Atlas - Poland - Kielce	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c336546a-78a2-433a-ae83-c090be3c4f54.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394007 (PS) (Date: 2005/09/09) * Spot 5 2,50 m - 00186394009 (PS) (Date: 2005/09/19) * Spot 5 2,50 m - 00186394010 (PS) (Date: 2005/09/19) * Spot 5 2,50 m - 00186394031 (PS) (Date: 2006/07/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c336546a-78a2-433a-ae83-c090be3c4f54	2005	2006	TRUE	Kielce|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl012l_kielce_2005-2006	None	obsolete
5e04ad4d-8a58-4e8e-b7e8-a9458cb8ad9b	None	Urban Atlas - Lithuania - Panevėžys	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5e04ad4d-8a58-4e8e-b7e8-a9458cb8ad9b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00183756053 (PS) (Date: 2007/06/04) * SPOT 5 2,50 m - 00183756054 (PS) (Date: 2007/07/17) * SPOT 5 2,50 m - 00183538033 (PS) (Date: 2006/07/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5e04ad4d-8a58-4e8e-b7e8-a9458cb8ad9b	2006	2007	TRUE	Land use|Lithuania|Panevėžys	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-lt003l_panevezys_2006-2007	None	obsolete
339354a8-5f56-4731-a5df-b7f35f94e290	None	Urban Atlas - Italy - Caserta	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/339354a8-5f56-4731-a5df-b7f35f94e290.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50702670608161005322B2 (PS) (Date: 2006/08/16) * Spot 5 2,50 m - 50712680607161001482B0 (PS) (Date: 2006/07/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/339354a8-5f56-4731-a5df-b7f35f94e290	2006	2006	FALSE	Caserta|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it021l_caserta_2006	None	obsolete
ec79afca-27c7-4684-a54f-1d37f6b936ad	None	Urban Atlas - Spain - Murcia	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec79afca-27c7-4684-a54f-1d37f6b936ad.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20080427_105513_DLR_12025_PRUTM (XS) (Date: 2008/04/27) * ALOS 2,50 m - AL_AV2_X_20080427_105521_DLR_12025_PRUTM (XS) (Date: 2008/04/27) * ALOS 2,50 m - AL_AV2_X_20080629_105638_DLR_12944_PRUTM (XS) (Date: 2008/06/29) * ALOS 2,50 m - AL_AV2_X_20080629_105646_DLR_12944_PRUTM (XS) (Date: 2008/06/29) * ALOS 2,50 m - AL_PSM_P_20070512_110013_DLR_6905_PRUTM (P) (Date: 2007/05/12) * ALOS 2,50 m - AL_PSM_P_20070512_110017_DLR_6905_PRUTM (P) (Date: 2007/05/12) * ALOS 2,50 m - AL_PSM_P_20070529_110223_DLR_7153_PRUTM (P) (Date: 2007/05/29) * ALOS 2,50 m - AL_PSM_P_20080629_105642_DLR_12944_PRUTM (P) (Date: 2008/06/29) * ALOS 2,50 m - AL_PSM_P_20080629_105646_DLR_12944_PRUTM (P) (Date: 2008/06/29) * SPOT 5 2,50m - 50402730608241053252J7 (XS) (Date: 2006/08/24) * SPOT 5 2,50m - 50412740506241047321J0 (XS) (Date: 2005/06/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec79afca-27c7-4684-a54f-1d37f6b936ad	2005	2008	TRUE	Land use|Murcia|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es007l_murcia_2005-2008	None	obsolete
902d8085-13a3-40a0-890f-a05a98269b19	None	Urban Atlas - United Kingdom - Belfast (Béal Feirste)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/902d8085-13a3-40a0-890f-a05a98269b19.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - PVIEW_BELFAST (PS) (Date: 2009/09/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902d8085-13a3-40a0-890f-a05a98269b19	2009	2009	FALSE	Belfast|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk012l_belfast_2009	None	obsolete
28ecff51-15fb-49aa-bd9b-6cddbd238737	None	Urban Atlas - Germany - Darmstadt	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ecff51-15fb-49aa-bd9b-6cddbd238737.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20080626_102943_DLR_12900_PRUTM (XS) (Date: 2008/06/26) * ALOS 2,50 m - AL_PSM_P_20080511_103015_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20080511_103019_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20080626_102943_DLR_12900_PRUTM (P) (Date: 2008/06/26) * ALOS 2,50 m - AL_PSM_P_20080626_102947_DLR_12900_PRUTM (P) (Date: 2008/06/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ecff51-15fb-49aa-bd9b-6cddbd238737	2008	2008	FALSE	Darmstadt|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de025l_darmstadt_2008	None	obsolete
0406f49f-5221-47a9-a186-c46a4e7835df	None	Urban Atlas - Czech Republic - Brno	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0406f49f-5221-47a9-a186-c46a4e7835df.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800012 (PS) (Date: 2006/07/06) * Spot 5 2,50 m - 00182800013 (PS) (Date: 2006/07/06) * Spot 5 2,50 m - 00182800026 (PS) (Date: 2007/05/02) * Spot 5 2,50 m - 00182800027 (PS) (Date: 2007/05/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0406f49f-5221-47a9-a186-c46a4e7835df	2006	2007	TRUE	Brno|Czechia|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz002l_brno_2006-2007	None	obsolete
61c37af3-130c-498a-871e-a4e988276d81	None	Urban Atlas - France - Besançon	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61c37af3-130c-498a-871e-a4e988276d81.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - RI-112-GEOTIFF-217820213-2007042910342791246616312 (PS) (Date: 2007/04/29) * Spot 5 2,50 m - RI-113-GEOTIFF-217840213-2007042910313709358912784 (PS) (Date: 2007/04/29) * Spot 5 2,50 m - RI-114-GEOTIFF-217840214-2007042910314034260412312 (PS) (Date: 2007/04/29) * Spot 5 2,50 m - RI-115-GEOTIFF-217840215-2007042910314358483011818 (PS) (Date: 2007/04/29) * Spot 5 2,50 m - RI-116-GEOTIFF-217850214-2007042910330613785015327 (PS) (Date: 2007/04/29) * Spot 5 2,50 m - RI-117-GEOTIFF-217860213-2007042910330289195415808 (PS) (Date: 2007/04/29) * Spot 5 2,50 m - RI-140-GEOTIFF-217850215-2007042910330937973414832 (PS) (Date: 2007/04/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61c37af3-130c-498a-871e-a4e988276d81	2007	2007	FALSE	Besançon|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr025l_besancon_2007	None	obsolete
dbb63c68-6b9a-40c7-ab0a-64f7156d799f	None	Urban Atlas - France - Toulouse	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dbb63c68-6b9a-40c7-ab0a-64f7156d799f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50422620503021039231B1 (P) (Date: 2005/03/02) * Spot 5 2,50 m - 50422620503021039231B5 (P) (Date: 2005/03/02) * ALOS 2,50 m - AL_AV2_X_20070310_105629_DLR_5986_PREU (XS) (Date: 2007/03/10) * ALOS 2,50 m - AL_AV2_X_20070310_105637_DLR_5986_PREU (XS) (Date: 2007/03/10) * ALOS 2,50 m - AL_AV2_X_20070408_105423_DLR_6409_PREU (XS) (Date: 2007/04/08) * ALOS 2,50 m - AL_AV2_X_20070408_105431_DLR_6409_PREU (XS) (Date: 2007/04/08) * ALOS 2,50 m - AL_PSM_P_20070310_105625_DLR_5986_PREU (P) (Date: 2007/03/10) * ALOS 2,50 m - AL_PSM_P_20070524_105423_DLR_7080_PREU (P) (Date: 2007/05/24) * ALOS 2,50 m - AL_PSM_P_20070524_105427_DLR_7080_PREU (P) (Date: 2007/05/24) * ALOS 2,50 m - AL_PSM_P_20070910_105611_DLR_8670_PREU (P) (Date: 2007/09/10) * ALOS 2,50 m - AL_PSM_P_20070910_105615_DLR_8670_PREU (P) (Date: 2007/09/10) * ALOS 2,50 m - AL_PSM_P_20070910_105619_DLR_8670_PREU (P) (Date: 2007/09/10) * ALOS 2,50 m - AL_PSM_P_20080427_105339_DLR_12025_PREU (P) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20080427_105343_DLR_12025_PREU (P) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20080427_105343_DLR_12025_PREU_1 (P) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20080427_105347_DLR_12025_PREU (P) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20080427_105351_DLR_12025_PREU (P) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20080728_105300_DLR_13367_PREU (P) (Date: 2008/07/28) * ALOS 2,50 m - AL_PSM_P_20080826_105133_DLR_13790_PREU (P) (Date: 2008/07/28) * ALOS 2,50 m - AL_PSM_P_20080826_105137_DLR_13790_PREU (P) (Date: 2008/07/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dbb63c68-6b9a-40c7-ab0a-64f7156d799f	2005	2008	TRUE	France|Land use|Toulouse	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr004l_toulouse_2005-2008	None	obsolete
706f1d56-3644-420e-8de3-1812fee530fd	None	Urban Atlas - Sweden - Jönköping	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/706f1d56-3644-420e-8de3-1812fee530fd.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394020 (PS) (Date: 2006/06/13) * Spot 5 2,50 m - 00186394022 (PS) (Date: 2006/06/13) * Spot 5 2,50 m - 00186394042 (PS) (Date: 2007/09/13) * Spot 5 2,50 m - 00186394043 (PS) (Date: 2007/09/13) * Spot 5 2,50 m - 00186394048 (PS) (Date: 2007/10/31)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/706f1d56-3644-420e-8de3-1812fee530fd	2006	2007	TRUE	Jönköping|Land use|Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_50_k_urban-atlas-se004l_jonkoping_2006-2007	None	obsolete
cf1eb5bc-3187-4cce-9ccc-515f59517d59	None	Urban Atlas - Poland - Konin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cf1eb5bc-3187-4cce-9ccc-515f59517d59.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50692440607060950492B0 (PS) (Date: 2006/07/06) * Spot 5 2,50 m - 50702430607051009542B6 (PS) (Date: 2006/07/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cf1eb5bc-3187-4cce-9ccc-515f59517d59	2006	2006	FALSE	Konin|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl022l_konin_2006	None	obsolete
67362719-2ef3-49a4-8cfc-3ff34dd9249c	None	Urban Atlas - Slovenia - Maribor	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/67362719-2ef3-49a4-8cfc-3ff34dd9249c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50702560611080948371B2 (P) (Date: 2006/11/08) * ALOS 10 m - AL_AV2_X_20070715_100158_DLR_7838_PRUTM (XS) (Date: 2007/07/15) * ALOS 10 m - AL_AV2_X_20080815_095650_DLR_13629_PRUTM (XS) (Date: 2008/08/15) * ALOS 2,50 m - AL_PSM_P_20061012_100102_DLR_3812_PRUTM (P) (Date: 2006/10/12) * ALOS 2,50 m - AL_PSM_P_20070715_100158_DLR_7838_PRUTM (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20070715_100202_DLR_7838_PRUTM (P) (Date: 2007/07/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/67362719-2ef3-49a4-8cfc-3ff34dd9249c	2006	2008	TRUE	Land use|Maribor|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-si002l_maribor_2006-2008	None	obsolete
6c59675d-5ea9-43ad-b074-c9f84e86aa44	None	Urban Atlas - Germany - Bielefeld	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c59675d-5ea9-43ad-b074-c9f84e86aa44.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00185800002 (PS) (Date: 2006/09/14) * Spot 5 2,50 m - 00185800003 (PS) (Date: 2005/07/10) * Spot 5 2,50 m - 00185800004 (PS) (Date: 2006/07/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c59675d-5ea9-43ad-b074-c9f84e86aa44	2005	2006	TRUE	Bielefeld|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de017l_bielefeld_2005-2006	None	obsolete
d70d028f-ba04-4646-b96c-2d6e5de19d24	None	Urban Atlas - Greece - Patras (Πατραι)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d70d028f-ba04-4646-b96c-2d6e5de19d24.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800022 (PS) (Date: 2006/10/04) * Spot 5 2,50 m - 00182800025 (PS) (Date: 2006/11/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d70d028f-ba04-4646-b96c-2d6e5de19d24	2006	2006	FALSE	Greece|Land use|Patras	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr003l_patrai_2006	None	obsolete
743133b6-b038-4e40-bc00-bf153aedbdf5	None	Urban Atlas - Romania - Timişoara	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/743133b6-b038-4e40-bc00-bf153aedbdf5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 0018376055 (PS) (Date: 2007/07/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/743133b6-b038-4e40-bc00-bf153aedbdf5	2007	2007	FALSE	Land use|Romania|Timişoara	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-ro003l_timisoara_2007	None	obsolete
db4c9a4f-339a-48ee-ab90-4a06e22e5803	None	Urban Atlas - Romania - Piatra Neamţ	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/db4c9a4f-339a-48ee-ab90-4a06e22e5803.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50902550511060905051B0 (PS) (Date: 2005/11/06)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/db4c9a4f-339a-48ee-ab90-4a06e22e5803	2005	2005	FALSE	Land use|Piatra Neamţ|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro011l_piatra_neamt_2005	None	obsolete
ad196892-6857-40a6-a057-fccd01a9f735	None	Urban Atlas - Germany - Karlsruhe	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad196892-6857-40a6-a057-fccd01a9f735.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot5 2,50 m - 00183538017 (PS) (Date: 2005/09/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad196892-6857-40a6-a057-fccd01a9f735	2005	2005	FALSE	Germany|Karlsruhe|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de035l_karlsruhe_2005	None	obsolete
53712ec6-2812-4ce5-9d0a-88d13b58f902	None	Urban Atlas - Germany - Erfurt	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53712ec6-2812-4ce5-9d0a-88d13b58f902.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50552461008201031011J8 (XS) (Date: 2010/08/20) * Spot 5 10 m - 50552461010101050172J9 (XS) (Date: 2010/10/10) * Spot 5 10 m - 50562460906141032492J2 (XS) (Date: 2009/06/14) * Spot 5 2,50 m - 50552461008201030581B8 (P) (Date: 2010/08/20) * Spot 5 2,50 m - 50552461010101050152B9 (P) (Date: 2010/10/10) * Spot 5 2,50 m - 50562460906141032462B2 (P) (Date: 2009/06/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53712ec6-2812-4ce5-9d0a-88d13b58f902	2009	2010	TRUE	Erfurt|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de032l_erfurt_2009-2010	None	obsolete
32db18e1-f82e-4037-a157-76cef6f3a8a5	None	Urban Atlas - United Kingdom - Exeter	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/32db18e1-f82e-4037-a157-76cef6f3a8a5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50262471003081143492B0 (PS) (Date: 2010/03/08) * Spot 5 2,50 m - 50262471003081143492B4 (PS) (Date: 2010/03/08) * ALOS 10 m - AL_AV2_X_20080903_111942_DLR_13907_PRUTM (XS) (Date: 2008/09/03) * ALOS 2,50 m - AL_PSM_P_20090421_112305_DLR_17262_PRUTM (P) (Date: 2009/04/21) * RapidEye 5 m - 2010-06-03T121641_RE3_3A-NAC_6218829_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121643_RE3_3A-NAC_6218824_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121644_RE3_3A-NAC_6218834_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121645_RE3_3A-NAC_6218773_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121646_RE3_3A-NAC_6218825_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121648_RE3_3A-NAC_6218833_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121648_RE3_3A-NAC_6218827_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121649_RE3_3A-NAC_6218832_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-03T121652_RE3_3A-NAC_6218831_110466 (XS) (Date: 2010/06/03) * RapidEye 5 m - 2010-06-23T121556_RE4_3A-NAC_6219129_110466 (XS) (Date: 2010/06/23) * RapidEye 5 m - 2010-06-23T121557_RE4_3A-NAC_6219126_110466 (XS) (Date: 2010/06/23) * RapidEye 5 m - 2010-06-23T121600_RE4_3A-NAC_6219130_110466 (XS) (Date: 2010/06/23) * RapidEye 5 m - 2010-06-23T121607_RE4_3A-NAC_6219127_110466 (XS) (Date: 2010/06/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32db18e1-f82e-4037-a157-76cef6f3a8a5	2008	2010	TRUE	Exeter|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk018l_exeter_2008-2010	None	obsolete
919d4637-710f-41bc-b408-a4ed7dde2543	None	Urban Atlas - France - Nancy	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/919d4637-710f-41bc-b408-a4ed7dde2543.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157013 (PS) (Date: 2005/09/04) * Spot 5 2,50 m - 00187157026 (PS) (Date: 2005/10/17) * Spot 5 2,50 m - 00187157037 (PS) (Date: 2006/10/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/919d4637-710f-41bc-b408-a4ed7dde2543	2005	2006	TRUE	France|Land use|Nancy	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-fr016l_nancy_2005-2006	None	obsolete
48538038-b114-4b41-933f-f648b4e15537	None	Urban Atlas - Netherlands - Rotterdam	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48538038-b114-4b41-933f-f648b4e15537.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800021 (PS) (Date: 2006/09/13) * Spot 5 2,50 m - 00182800023 (PS) (Date: 2006/10/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48538038-b114-4b41-933f-f648b4e15537	2006	2006	FALSE	Land use|Netherlands|Rotterdam	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl003l_rotterdam_2006	None	obsolete
97622c43-a8cc-460c-bda5-858c077d3170	None	Urban Atlas - Czech Republic - Pilsen (Plzeň)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/97622c43-a8cc-460c-bda5-858c077d3170.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50602490609051018462B0 (P) (Date: 2006/09/05) * Spot 5 2,50 m - 50622490709141022352B0 (P) (Date: 2007/09/14) * Spot 5 2,50 m - 50622500709141022442B0 (P) (Date: 2007/09/14) * ALOS 10 m - AL_AV2_X_20090614_101502_DLR_18049_PRUTM (XS) (Date: 2009/06/14) * ALOS 10 m - AL_AV2_X_20090614_101510_DLR_18049_PRUTM (XS) (Date: 2009/06/14) * ALOS 10 m - AL_AV2_X_20090816_101733_DLR_18968_PRUTM (XS) (Date: 2009/08/16) * ALOS 10 m - AL_AV2_X_20090816_101741_DLR_18968_PRUTM (XS) (Date: 2009/08/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/97622c43-a8cc-460c-bda5-858c077d3170	2006	2009	TRUE	Czechia|Land use|Pilsen	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz004l_plzen_2006-2009	None	obsolete
86ead0b9-7b11-4533-9f47-8351c5d49341	None	Urban Atlas - Germany - Magdeburg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/86ead0b9-7b11-4533-9f47-8351c5d49341.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50542440509201049222B0 (PS) (Date: 2005/09/20) * Spot 5 2,50 m - 50572430509011014491B7 (PS) (Date: 2005/09/01) * Spot 5 2,50 m - 50572440507111015401B0 (PS) (Date: 2005/07/11) * Spot 5 2,50 m - 50572440509011014571B7 (PS) (Date: 2005/09/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/86ead0b9-7b11-4533-9f47-8351c5d49341	2005	2005	FALSE	Germany|Land use|Magdeburg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de019l_magdeburg_2005	None	obsolete
20995741-15ff-4ec2-96b6-a6134d87c5fb	None	Urban Atlas - Poland - Koszalin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20995741-15ff-4ec2-96b6-a6134d87c5fb.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50622390511011040002B8 (PS) (Date: 2005/11/01) * Spot 5 2,50 m - 50652400607251025062B0 (PS) (Date: 2006/07/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20995741-15ff-4ec2-96b6-a6134d87c5fb	2005	2006	TRUE	Koszalin|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl028l_koszalin_2005-2006	None	obsolete
8e974c47-93d8-4099-9bb5-25bb13f1fe1d	None	Urban Atlas - Hungary - Pécs	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8e974c47-93d8-4099-9bb5-25bb13f1fe1d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00185800029 (PS) (Date: 2007/05/13) * SPOT 5 2,50 m - 00185800031 (PS) (Date: 2007/04/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e974c47-93d8-4099-9bb5-25bb13f1fe1d	2007	2007	FALSE	Hungary|Land use|Pécs	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu004l_pecs_2007	None	obsolete
5894aa59-9b69-4fc4-bdb1-e7c9b2911703	None	Urban Atlas - Greece - Larissa (Λάρισα)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5894aa59-9b69-4fc4-bdb1-e7c9b2911703.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot5 2,50 m - 00183538035 (PS) (Date: 2006/09/02) * Spot5 2,50 m - 00183756036 (PS) (Date: 2006/09/02) * Spot5 2,50 m - 00183756072 (PS) (Date: 2008/10/16) * Spot5 2,50 m - 00183756073 (PS) (Date: 2008/10/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5894aa59-9b69-4fc4-bdb1-e7c9b2911703	2006	2008	TRUE	Greece|Land use|Larissa	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr005l_larisa_2006-2008	None	obsolete
4d416f8c-1bec-4742-8a00-a3b9373a9f06	None	Urban Atlas - Czech Republic - Jihlava	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4d416f8c-1bec-4742-8a00-a3b9373a9f06.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50662500609111003221B2 (PS) (Date: 2006/09/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4d416f8c-1bec-4742-8a00-a3b9373a9f06	2006	2006	FALSE	Czechia|Jihlava|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz014l_jihlava_2006	None	obsolete
3ca25f74-6581-4ca8-a456-21edbae50248	None	Urban Atlas - Germany - Hamburg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ca25f74-6581-4ca8-a456-21edbae50248.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50492401006171100402B8 (PS) (Date: 2010/06/17) * Spot 5 2,50 m - 50502400908201045112B0 (PS) (Date: 2009/08/20) * Spot 5 2,50 m - 50502410908201045192B0 (PS) (Date: 2009/08/20) * Spot 5 2,50 m - 50502420908201045272B0 (PS) (Date: 2009/08/20) * Spot 5 2,50 m - 50532410909011014392B0 (PS) (Date: 2009/09/01) * Spot 5 2,50 m - 50532420909011014472B0 (PS) (Date: 2009/09/01) * RapidEye 5 m - 2009-04-10T110514_RE2_3A-NAC_6212971_110437 (XS) (Date: 2009/04/10) * RapidEye 5 m - 2009-04-18T111046_RE5_3A-NAC_6212756_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-18T111047_RE5_3A-NAC_6212766_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-18T111049_RE5_3A-NAC_6212773_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-18T111050_RE5_3A-NAC_6212700_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-18T111050_RE5_3A-NAC_6212763_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-18T111052_RE5_3A-NAC_6212771_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-18T111053_RE5_3A-NAC_6212699_110437 (XS) (Date: 2009/04/18) * RapidEye 5 m - 2009-04-19T111354_RE1_3A-NAC_6213203_110437 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T111358_RE1_3A-NAC_6213202_110437 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-05-13T111747_RE1_3A-NAC_6212970_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T111207_RE3_3A-NAC_6212767_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T111211_RE3_3A-NAC_6212758_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T111213_RE3_3A-NAC_6212760_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T111214_RE3_3A-NAC_6212768_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T111217_RE3_3A-NAC_6212757_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T111221_RE3_3A-NAC_6212974_110437 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-31T111327_RE5_3A-NAC_6212764_110437 (XS) (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T111330_RE5_3A-NAC_6212765_110437 (XS) (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T111330_RE5_3A-NAC_6212973_110437 (XS) (Date: 2009/05/31) * RapidEye 5 m - 2009-07-03T110649_RE5_3A-NAC_6212772_110437 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-03T110652_RE5_3A-NAC_6212769_110437 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-03T110653_RE5_3A-NAC_6212770_110437 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-03T110656_RE5_3A-NAC_6212755_110437 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-05T112955_RE1_3A-NAC_6212762_110437 (XS) (Date: 2009/07/05) * RapidEye 5 m - 2009-07-27T111044_RE5_3A-NAC_6212972_110437 (XS) (Date: 2009/07/27)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ca25f74-6581-4ca8-a456-21edbae50248	2009	2010	TRUE	Germany|Hamburg|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de002l_hamburg_2009-2010	None	obsolete
1981ea0a-9ee9-4ed9-a4bb-4f2832183a4c	None	Urban Atlas - Germany - Schwerin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1981ea0a-9ee9-4ed9-a4bb-4f2832183a4c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50532410506181058071B3 (PS) (Date: 2005/06/18) * Spot 5 2,50 m - 50542410509051037392B0 (PS) (Date: 2005/09/05) * Spot 5 2,50 m - 50542420509051037472B0 (PS) (Date: 2005/09/05) * Spot 5 2,50 m - 50572410609261013592B3 (PS) (Date: 2006/09/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1981ea0a-9ee9-4ed9-a4bb-4f2832183a4c	2005	2006	TRUE	Germany|Land use|Schwerin	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de031l_schwerin_2005-2006	None	obsolete
176ce2d0-a887-443c-8c80-80396347ee6e	None	Urban Atlas - Lithuania - Vilnius	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/176ce2d0-a887-443c-8c80-80396347ee6e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00182784040 (XS) (Date: 2005/10/29) * SPOT 5 2,50 m - 00182784041 (XS) (Date: 2007/06/20) * SPOT 5 2,50 m - 00182784042 (XS) (Date: 2005/10/29) * SPOT 5 2,50 m - 00182793040 (P) (Date: 2005/10/29) * SPOT 5 2,50 m - 00182793041 (P) (Date: 2007/06/20) * SPOT 5 2,50 m - 00182793042 (P) (Date: 2005/10/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/176ce2d0-a887-443c-8c80-80396347ee6e	2005	2007	TRUE	Land use|Lithuania|Vilnius	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-lt001l_vilnius_2005-2007	None	obsolete
48e8510b-c089-4533-910f-7a416427f832	None	Urban Atlas - Greece - Athens (Αθήνα)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48e8510b-c089-4533-910f-7a416427f832.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50922730710030919192B5 (P) (Date: 2007/10/03) * Spot 5 2,50 m - 50922740709180908111B3 (P) (Date: 2007/09/18) * ALOS 2,50 m - AL_AV2_X_20070610_091916_DLR_7327_PREU (XS) (Date: 2007/06/10) * ALOS 2,50 m - AL_AV2_X_20070610_091925_DLR_7327_PREU (XS) (Date: 2007/06/10) * ALOS 2,50 m - AL_AV2_X_20070627_092124_DLR_7575_PREU (XS) (Date: 2007/06/27) * ALOS 2,50 m - AL_AV2_X_20070627_092132_DLR_7575_PREU (XS) (Date: 2007/06/27) * ALOS 2,50 m - AL_PSM_P_20070610_091916_DLR_7327_PREU (P) (Date: 2007/06/10) * ALOS 2,50 m - AL_PSM_P_20070610_091920_DLR_7327_PREU (P) (Date: 2007/06/10) * ALOS 2,50 m - AL_PSM_P_20070610_091925_DLR_7327_PREU (P) (Date: 2007/06/10) * ALOS 2,50 m - AL_PSM_P_20070627_092124_DLR_7575_PREU (P) (Date: 2007/06/27) * ALOS 2,50 m - AL_PSM_P_20070627_092128_DLR_7575_PREU (P) (Date: 2007/06/27)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48e8510b-c089-4533-910f-7a416427f832	2007	2007	FALSE	Athens|Greece|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr001l_athina_2007	None	obsolete
72045af2-b2b0-483a-b649-16e7352e41ea	None	Urban Atlas - Italy - Venice (Venezia)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/72045af2-b2b0-483a-b649-16e7352e41ea.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157012 (PS) (Date: 2005/09/02) * Spot 5 2,50 m - 00187321001 (PS) (Date: 2006/07/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72045af2-b2b0-483a-b649-16e7352e41ea	2005	2006	TRUE	Italy|Land use|Venice	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it011l_venezia_2005-2006	None	obsolete
873ffaa0-6043-4c6c-893c-179367249f79	None	Urban Atlas - Poland - Częstochowa	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/873ffaa0-6043-4c6c-893c-179367249f79.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186550003 (XS) (Date: 2008/04/26) * Spot 5 2,50 m - 00186550008 (P) (Date: 2008/04/26) * Spot 5 2,50 m - 50732470607170939341B1 (P) (Date: 2006/07/17) * Spot 5 2,50 m - 50732470607170939361J1 (XS) (Date: 2006/07/17) * ALOS 2,5 m - AL_AV2_X_20070923_095155_DLR_8859_PREU (XS) (Date: 2007/09/23) * ALOS 2,5 m - AL_AV2_X_20070923_095203_DLR_8859_PREU (XS) (Date: 2007/09/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/873ffaa0-6043-4c6c-893c-179367249f79	2006	2008	TRUE	Częstochowa|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl024l_czestochowa_2006-2008	None	obsolete
58e69c0a-23a2-4c50-b409-85cd83293767	None	Urban Atlas - Italy - Salerno	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/58e69c0a-23a2-4c50-b409-85cd83293767.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50712680607161001482B0 (PS) (Date: 2006/07/16) * Spot 5 2,50 m - 50722680712071008581B3 (PS) (Date: 2007/12/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/58e69c0a-23a2-4c50-b409-85cd83293767	2006	2007	TRUE	Italy|Land use|Salerno	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it032l_salerno_2006-2007	None	obsolete
2e6ea725-5335-448f-808c-056d33e87eed	None	Urban Atlas - Bulgaria - Vidin (Видин)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e6ea725-5335-448f-808c-056d33e87eed.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50852610705110908371B3 (PS) (Date: 2007/05/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e6ea725-5335-448f-808c-056d33e87eed	2007	2007	FALSE	Bulgaria|Land use|Vidin	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-bg007l_vidin_2007	None	obsolete
c71e24ba-bbbf-4d4a-9515-3d29b7444681	None	Urban Atlas - France - Clermont-Ferrand	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c71e24ba-bbbf-4d4a-9515-3d29b7444681.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157010 (PS) (Date: 2005/08/30) * Spot 5 2,50 m - 00187157038 (PS) (Date: 2006/10/30)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c71e24ba-bbbf-4d4a-9515-3d29b7444681	2005	2006	TRUE	Clermont-Ferrand|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_50_k_urban-atlas-fr022l_clermont_ferrand_2005-2006	None	obsolete
0e7dbc26-c031-4006-b19b-7d0e4e2d4ca8	None	Urban Atlas - Sweden - Gothenburg (Göteborg)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e7dbc26-c031-4006-b19b-7d0e4e2d4ca8.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50492311004111047262B0 (PS) (Date: 2010/04/11) * Spot 5 2,50 m - 50492320909061017272B0 (PS) (Date: 2009/09/06) * Spot 5 2,50 m - 50502310910171029452B0 (PS) (Date: 2009/10/17) * Spot 5 2,50 m - 50502320906231058092B0 (PS) (Date: 2009/06/23) * Spot 5 2,50 m - 50502330906231058172B0 (PS) (Date: 2009/06/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e7dbc26-c031-4006-b19b-7d0e4e2d4ca8	2009	2010	TRUE	Gothenburg|Land use|Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-se002l_goteborg_2009-2010	None	obsolete
f75726e2-83d7-483a-a920-db0c0f8a7118	None	Urban Atlas - Greece - Ioannina (Ioánnina)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f75726e2-83d7-483a-a920-db0c0f8a7118.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538037 (PS) (Date: 2006/09/07) * Spot 5 2,50 m - 00183538049 (PS) (Date: 2006/10/19) * Spot 5 2,50 m - 00183538050 (PS) (Date: 2006/10/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f75726e2-83d7-483a-a920-db0c0f8a7118	2006	2006	FALSE	Greece|Ioannina|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr007l_ioannina_2006	None	obsolete
2118845e-d1a1-47a7-8dbd-518a654b0629	None	Urban Atlas - Germany - Stuttgart	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2118845e-d1a1-47a7-8dbd-518a654b0629.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50522520509201050302B0 (Date: 2005/09/20) * Spot 5 2,50 m - 50532510509201050222B0 (Date: 2005/09/20) * ALOS 10 m - AL_AV2_X_20061016_110416_DLR_3871_PRUTM (Date: 2006/10/16) * ALOS 10 m - AL_AV2_X_20070607_103123_DLR_7284_PRUTM (Date: 2007/06/07) * ALOS 10 m - AL_AV2_X_20070607_103131_DLR_7284_PRUTM (Date: 2007/06/07) * ALOS 2,50 m - AL_PSM_P_20070422_103126_DLR_6613_PRUTM (Date: 2007/04/22) * ALOS 2,50 m - AL_PSM_P_20070422_103130_DLR_6613_PRUTM (Date: 2007/04/22) * ALOS 2,50 m - AL_PSM_P_20070521_102916_DLR_7036_PRUTM (Date: 2007/05/21) * ALOS 2,50 m - AL_PSM_P_20070521_102920_DLR_7036_PRUTM (Date: 2007/05/21) * ALOS 2,50 m - AL_PSM_P_20070521_102924_DLR_7036_PRUTM (Date: 2007/05/21) * ALOS 2,50 m - AL_PSM_P_20070607_103123_DLR_7284_PRUTM (Date: 2007/06/07) * ALOS 2,50 m - AL_PSM_P_20070607_103127_DLR_7284_PRUTM (Date: 2007/06/07) * ALOS 2,50 m - AL_PSM_P_20090410_102949_DLR_17101_PRUTM (Date: 2009/04/10) * ALOS 2,50 m - AL_PSM_P_20090410_102954_DLR_17101_PRUTM (Date: 2009/04/10) * ALOS 2,50 m - AL_PSM_P_20090410_102958_DLR_17101_PRUTM (Date: 2009/04/10) * ALOS 2,50 m - 2009-07-27T111157_RE5_3A-NAC_6201082_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111158_RE5_3A-NAC_6200879_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111159_RE5_3A-NAC_6200882_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111201_RE5_3A-NAC_6201080_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111202_RE5_3A-NAC_6200878_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111205_RE5_3A-NAC_6200949_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111205_RE5_3A-NAC_6200881_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-07-27T111209_RE5_3A-NAC_6201081_110198 (Date: 2009/07/27) * ALOS 2,50 m - 2009-09-01T110748_RE3_3A-NAC_6200877_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110752_RE3_3A-NAC_6200948_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110753_RE3_3A-NAC_6201083_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110755_RE3_3A-NAC_6200950_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110755_RE3_3A-NAC_6201079_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110756_RE3_3A-NAC_6200876_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110759_RE3_3A-NAC_6200884_110198 (Date: 2009/09/01) * ALOS 2,50 m - 2009-09-01T110759_RE3_3A-NAC_6201387_110198 (Date: 2009/09/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2118845e-d1a1-47a7-8dbd-518a654b0629	2005	2009	TRUE	Germany|Land use|Stuttgart	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de007l_stuttgart_2005-2009	None	obsolete
7adb000d-d839-450d-8adf-7bbe5728e66d	None	Urban Atlas - Spain - Zaragoza (Zaragosa)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7adb000d-d839-450d-8adf-7bbe5728e66d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070311_113716_DLR_6001_PREU (XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_AV2_X_20070311_113724_DLR_6001_PREU (XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_AV2_X_20070714_110117_DLR_7824_PREU (XS) (Date: 2007/07/14) * ALOS 2,50 m - AL_AV2_X_20070714_110125_DLR_7824_PREU (XS) (Date: 2007/07/14) * ALOS 2,50 m - AL_PSM_P_20070529_110121_DLR_7153_PREU (P) (Date: 2007/05/29) * ALOS 2,50 m - AL_PSM_P_20070529_110126_DLR_7153_PREU (P) (Date: 2007/05/29) * ALOS 2,50 m - AL_PSM_P_20070615_110324_DLR_7401_PREU (P) (Date: 2007/06/15) * ALOS 2,50 m - AL_PSM_P_20070615_110328_DLR_7401_PREU (P) (Date: 2007/06/15) * ALOS 2,50 m - AL_PSM_P_20070714_110112_DLR_7824_PREU (P) (Date: 2007/07/14) * ALOS 2,50 m - AL_PSM_P_20070714_110117_DLR_7824_PREU (P) (Date: 2007/07/14) * ALOS 2,50 m - AL_PSM_P_20070714_110121_DLR_7824_PREU (P) (Date: 2007/07/14) * ALOS 2,50 m - AL_PSM_P_20080502_110033_DLR_12098_PREU (P) (Date: 2008/05/02) * ALOS 2,50 m - AL_PSM_P_20080502_110037_DLR_12098_PREU (P) (Date: 2008/05/02) * ALOS 2,50 m - AL_PSM_P_20080502_110041_DLR_12098_PREU (P) (Date: 2008/05/02)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7adb000d-d839-450d-8adf-7bbe5728e66d	2007	2008	TRUE	Land use|Spain|Zaragoza	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es005l_zaragoza_2007-2008	None	obsolete
7c5719d8-425e-4cfa-8d96-95d5715dbd01	None	Urban Atlas - France - Dijon	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c5719d8-425e-4cfa-8d96-95d5715dbd01.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50462540510121027261B0 (PS) (Date: 2005/10/12) * Spot 5 2,50 m - 50462550510121027341B0 (PS) (Date: 2005/10/12) * Spot 5 2,50 m - 50472540510111046421B4 (PS) (Date: 2005/10/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c5719d8-425e-4cfa-8d96-95d5715dbd01	2005	2005	FALSE	Dijon|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr020l_dijon_2005	None	obsolete
6d0ebc6c-6a09-42d5-889b-6cab30c1439d	None	Urban Atlas - Sweden - Örebro	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6d0ebc6c-6a09-42d5-889b-6cab30c1439d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - OREB_1_50542280710091038512_0 (PS) (Date: 2007/10/09) * Spot 5 2,50 m - OREB_1_50542280710091038512_1 (PS) (Date: 2007/10/09) * Spot 5 2,50 m - OREB_2_50542290710060956312_0 (PS) (Date: 2007/10/06) * Spot 5 2,50 m - OREB_2_50542290710060956312_1 (PS) (Date: 2007/10/06) * Spot 5 2,50 m - OREB_3_50572290806010958002_0 (PS) (Date: 2008/06/01) * Spot 5 2,50 m - OREB_3_50572290806010958002_1 (PS) (Date: 2008/06/01) * Spot 5 2,50 m - OREB_4_50572300804041014312_0 (PS) (Date: 2008/04/04) * Spot 5 2,50 m - OREB_4_50572300804041014312_1 (PS) (Date: 2008/04/04)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6d0ebc6c-6a09-42d5-889b-6cab30c1439d	2007	2008	TRUE	Land use|Sweden|Örebro	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-se008l_orebro_2007-2008	None	obsolete
2fd7e4cf-2e99-4ef5-ba4d-2d5f8f10f30a	None	Urban Atlas - Poland - Bydgoszcz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2fd7e4cf-2e99-4ef5-ba4d-2d5f8f10f30a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157015 (PS) (Date: 2005/09/08) * Spot 5 2,50 m - 00187157016 (PS) (Date: 2005/09/08) * Spot 5 2,50 m - 00187157040 (PS) (Date: 2007/09/25) * Spot 5 2,50 m - 00187157041 (PS) (Date: 2008/10/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2fd7e4cf-2e99-4ef5-ba4d-2d5f8f10f30a	2005	2008	TRUE	Bydgoszcz|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl008l_bydgoszcz_2005-2008	None	obsolete
6b9de250-aaf1-4611-9c2c-8cd6dca2d6a3	None	Urban Atlas - Ireland - Limerick (Luimneach)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b9de250-aaf1-4611-9c2c-8cd6dca2d6a3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50132421010111211412B9 (PS) (Date: 2010/10/11) * Spot 5 2,50 m - 50142431003071202512B0 (PS) (Date: 2010/03/07) * Spot 5 2,50 m - 50142441004121210582B0 (PS) (Date: 2010/04/12) * RapidEye 5 m - 2009-09-12T123508_RE5_3A-NAC_5826222_106989 (XS) (Date: 2009/09/12) * RapidEye 5 m - 2009-09-13T123742_RE1_3A-NAC_5826505_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123743_RE1_3A-NAC_5826502_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123744_RE1_3A-NAC_5826508_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123745_RE1_3A-NAC_5826224_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123745_RE1_3A-NAC_5826346_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123746_RE1_3A-NAC_5826219_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123747_RE1_3A-NAC_5826225_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123748_RE1_3A-NAC_5826227_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123749_RE1_3A-NAC_5826506_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123750_RE1_3A-NAC_5826228_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123750_RE1_3A-NAC_5826223_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123751_RE1_3A-NAC_5826226_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123753_RE1_3A-NAC_5826220_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123754_RE1_3A-NAC_5826504_106989 (XS) (Date: 2009/09/13) * RapidEye 5 m - 2009-09-13T123755_RE1_3A-NAC_5826507_106989 (XS) (Date: 2009/09/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b9de250-aaf1-4611-9c2c-8cd6dca2d6a3	2009	2010	TRUE	Ireland|Land use|Limerick	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-ie003l_limerick_2009-2010	None	obsolete
57f7b1ff-8a01-4a5c-9d2c-c405112a1f6b	None	Urban Atlas - United Kingdom - Lincoln	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/57f7b1ff-8a01-4a5c-9d2c-c405112a1f6b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 06NOV03112705-M1BS-052239075040_01_P001 (PS) (Date: 2006/11/03) * Spot 5 2,50 m - 06NOV03112708-M1BS-052239075040_01_P002 (PS) (Date: 2006/11/03) * Spot 5 2,50 m - 06NOV03112712-M1BS-052239075040_01_P003 (PS) (Date: 2006/11/03) * Spot 5 2,50 m - 07MAY02113137-M1BS-052239075040_01_P004 (PS) (Date: 2007/05/02) * Spot 5 2,50 m - 07MAY02113140-M1BS-052239075040_01_P005 (PS) (Date: 2007/05/02) * Spot 5 2,50 m - 07MAY02113143-M1BS-052239075040_01_P006 (PS) (Date: 2007/05/02) * Spot 5 10 m - 50302420611191116162J0 (XS) (Date: 2006/11/19) * Spot 5 2,50 m - 50302420611191116142B0 (P) (Date: 2006/11/19) * ALOS 10 m - AL_AV2_X_20090630_111424_DLR_18283_PRUTM (XS) (Date: 2009/06/30) * ALOS 2,50 m - AL_PSM_P_20090601_111614_DLR_17860_PRUTM (P) (Date: 2009/06/01) * ALOS 2,50 m - AL_PSM_P_20090601_111618_DLR_17860_PRUTM (P) (Date: 2009/06/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57f7b1ff-8a01-4a5c-9d2c-c405112a1f6b	2006	2009	TRUE	Land use|Lincoln|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk019l_lincoln_2006-2009	None	obsolete
5620d32d-d0d5-4855-8f88-725c89634879	None	Urban Atlas - France - Metz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5620d32d-d0d5-4855-8f88-725c89634879.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538001 (PS) (Date: 2005/05/12) * Spot 5 2,50 m - 00183538023 (PS) (Date: 2005/10/12) * Spot 5 2,50 m - 00183538044 (PS) (Date: 2006/10/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5620d32d-d0d5-4855-8f88-725c89634879	2005	2006	TRUE	France|Land use|Metz	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr017l_metz_2005-2006	None	obsolete
f22daf00-80ba-478a-9b9b-f97d22799f35	None	Urban Atlas - Germany - Mainz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f22daf00-80ba-478a-9b9b-f97d22799f35.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 10 m - AL_AV2_X_20080701_103611_DLR_12973_PRUTM (XS) (Date: 2008/07/01) * ALOS 10 m - AL_AV2_X_20090617_103839_DLR_18093_PRUTM (XS) (Date: 2009/06/17) * ALOS 2,50 m - AL_PSM_P_20090415_103602_DLR_17174_PRUTM (P) (Date: 2009/04/15) * ALOS 2,50 m - AL_PSM_P_20090415_103606_DLR_17174_PRUTM (P) (Date: 2009/04/15) * RapidEye 5 m - 2009-04-19T111455_RE1_3A-NAC_5449638_104050 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-05-19T111319_RE3_3A-NAC_5450303_104050 (XS) (Date: 2009/05/19) * RapidEye 5 m - 2009-08-19T111400_RE4_3A-NAC_5449643_104050 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111401_RE4_3A-NAC_5449644_104050 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111402_RE4_3A-NAC_5449641_104050 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111404_RE4_3A-NAC_5449642_104050 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-04-23T111821_RE3_3A-NAC_5449640_104050 (XS) (Date: 2009/04/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f22daf00-80ba-478a-9b9b-f97d22799f35	2008	2009	TRUE	Germany|Land use|Mainz	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de037l_mainz_2008-2009	None	obsolete
6a95fc65-777f-46ad-b050-d4d0f9099f73	None	Urban Atlas - United Kingdom - Coventry	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6a95fc65-777f-46ad-b050-d4d0f9099f73.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50292431003051100482B7 (PS) (Date: 2010/03/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6a95fc65-777f-46ad-b050-d4d0f9099f73	2010	2010	FALSE	Coventry|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk025l_coventry_2010	None	obsolete
82deee11-3487-4238-834f-612714494ac5	None	Urban Atlas - Finland - Tampere	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/82deee11-3487-4238-834f-612714494ac5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - Spot50692230708060929271A0 (PS) (Date: 2007/08/06) * Spot 5 2,50 m - Spot50692240608051011171A0 (PS) (Date: 2006/08/05) * Spot 5 2,50 m - Spot50702240510080959451A0 (PS) (Date: 2005/10/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82deee11-3487-4238-834f-612714494ac5	2005	2007	TRUE	Finland|Land use|Tampere	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-fi002l_tampere_2005-2007	None	obsolete
296b2f0e-815d-4b28-9908-5ee778fb2c2f	None	Urban Atlas - Poland - Zielona Góra	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/296b2f0e-815d-4b28-9908-5ee778fb2c2f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50652440708191022192B1 (PS) (Date: 2007/08/19) * Spot 5 2,50 m - 50652450609101022002B0 (PS) (Date: 2006/09/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/296b2f0e-815d-4b28-9908-5ee778fb2c2f	2006	2007	TRUE	Land use|Poland|Zielona Góra	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl018l_zielona_gora_2006-2007	None	obsolete
a1c4916e-ca80-42eb-b0ce-15d4ebe7d8d0	None	Urban Atlas - United Kingdom - Sheffield	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1c4916e-ca80-42eb-b0ce-15d4ebe7d8d0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - SHEF_1_50262410605041143011 (PS) (Date: 2006/05/04) * Spot 5 2,50 m - SHEF_2_50292410805071121441 (PS) (Date: 2008/05/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1c4916e-ca80-42eb-b0ce-15d4ebe7d8d0	2006	2008	TRUE	Land use|Sheffield|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk010l_sheffield_2006-2008	None	obsolete
ceb05aa0-88ca-4021-9f3d-3c2d8f32f399	None	Urban Atlas - Italy - L'Aquila	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ceb05aa0-88ca-4021-9f3d-3c2d8f32f399.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50672640609220953452B3 (PS) (Date: 2006/09/22) * Spot 5 2,50 m - 50672650610180953532B0 (PS) (Date: 2006/10/18) * Spot 5 2,50 m - 50682650607211005182B0 (PS) (Date: 2006/07/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ceb05aa0-88ca-4021-9f3d-3c2d8f32f399	2006	2006	FALSE	Italy|L'Aquila|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_50_k_urban-atlas-it018l_l_aquila_2006	None	obsolete
8b841522-ee54-4a58-b91e-0012883f6264	None	Urban Atlas - United Kingdom - Bristol	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b841522-ee54-4a58-b91e-0012883f6264.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - BRIS_1-50272460608061136112 (PS) (Date: 2006/11/03) * Spot 5 2,50 m - BRIS_2_50272460608061136112 (PS) (Date: 2006/08/06) * Spot 5 2,50 m - BRIS_3_50292450506071111011 (PS) (Date: 2005/06/07) * ALOS 10 m - AL_AV2_X_20080401_111745_DLR_11646_PRUTM (XS) (Date: 2008/04/01) * ALOS 2,50 m - AL_PSM_P_20071103_112346_DLR_9458_PRUTM (P) (Date: 2007/11/03) * ALOS 2,50 m - AL_PSM_P_20090421_112253_DLR_17262_PRUTM (P) (Date: 2009/04/21) * ALOS 2,50 m - AL_PSM_P_20090421_112257_DLR_17262_PRUTM (P) (Date: 2009/04/21) * ALOS 2,50 m - AL_PSM_P_20100523_112045_DLR_23053_PRUTM (P) (Date: 2010/05/23) * ALOS 2,50 m - AL_PSM_P_20100523_112049_DLR_23053_PRUTM (P) (Date: 2010/05/23) * RapidEye 5 m - 2009-04-19T115104_RE4_3A-NAC_6222218_110502 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115104_RE4_3A-NAC_6222215_110502 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115105_RE4_3A-NAC_6222312_110502 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115108_RE4_3A-NAC_6222311_110502 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115108_RE4_3A-NAC_6222217_110502 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-09-10T115444_RE5_3A-NAC_6222214_110502 (XS) (Date: 2009/09/10) * RapidEye 5 m - 2009-09-10T115448_RE5_3A-NAC_6222212_110502 (XS) (Date: 2009/09/10) * RapidEye 5 m - 2009-09-10T115448_RE5_3A-NAC_6222213_110502 (XS) (Date: 2009/09/10) * RapidEye 5 m - 2009-10-12T120546_RE3_3A-NAC_6230249_110502 (XS) (Date: 2009/10/12) * RapidEye 5 m - 2009-10-12T120546_RE3_3A-NAC_6230250_110502 (XS) (Date: 2009/10/12) * RapidEye 5 m - 2010-04-17T120959_RE4_3A-NAC_6305091_111031 (XS) (Date: 2010/04/17) * RapidEye 5 m - 2010-05-22T122450_RE5_3A-NAC_6222638_110502 (XS) (Date: 2010/05/22) * RapidEye 5 m - 2010-05-22T122451_RE5_3A-NAC_6300646_111032 (XS) (Date: 2010/05/22) * RapidEye 5 m - 2010-05-22T122453_RE5_3A-NAC_6305608_111031 (XS) (Date: 2010/05/22) * RapidEye 5 m - 2010-06-03T121636_RE3_3A-NAC_6222216_110502 (XS) (Date: 2010/06/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b841522-ee54-4a58-b91e-0012883f6264	2005	2010	TRUE	Bristol|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk011l_bristol_2005-2010	None	obsolete
82c9e1c6-7e62-43b6-94fd-c8e0db639450	None	Urban Atlas - Italy - Modena	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/82c9e1c6-7e62-43b6-94fd-c8e0db639450.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - 50612600506101014292J0 (XS) (Date: 2005/06/10) * ALOS 2,50 m - 50612600606141016191J9 (XS) (Date: 2006/06/14) * ALOS 2,50 m - 50612600506101014272B0 (P) (Date: 2005/06/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82c9e1c6-7e62-43b6-94fd-c8e0db639450	2005	2006	TRUE	Italy|Land use|Modena	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it030l_modena_2005-2006	None	obsolete
31ea08e2-df03-4ae1-a391-5fb185f67431	None	Urban Atlas - Germany - Augsburg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/31ea08e2-df03-4ae1-a391-5fb185f67431.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50572520510131007362B0 (PS) (Date: 2005/10/13) * Spot 5 2,50 m - 50572530510131007442B0 (PS) (Date: 2005/10/13) * Spot 5 2,50 m - 50592520507171001102B0 (PS) (Date: 2005/07/17) * RapidEye 5 m - 2009-04-19T105605_RE2_3A-NAC_5837565_107087 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-05-20T110409_RE4_3A-NAC_5837563_107087 (XS) (Date: 2009/05/20) * RapidEye 5 m - 2009-05-23T110931_RE2_3A-NAC_5837557_107087 (XS) (Date: 2009/05/23) * RapidEye 5 m - 2009-05-23T110935_RE2_3A-NAC_5837560_107087 (XS) (Date: 2009/05/23) * RapidEye 5 m - 2009-05-23T110935_RE2_3A-NAC_5837559_107087 (XS) (Date: 2009/05/23) * RapidEye 5 m - 2009-05-23T110939_RE2_3A-NAC_5837558_107087 (XS) (Date: 2009/05/23) * RapidEye 5 m - 2009-07-23T110951_RE1_3A-NAC_5837562_107087 (XS) (Date: 2009/07/23) * RapidEye 5 m - 2009-07-27T105430_RE1_3A-NAC_5837501_107087 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-08-27T110512_RE2_3A-NAC_5837561_107087 (XS) (Date: 2009/08/27)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31ea08e2-df03-4ae1-a391-5fb185f67431	2005	2009	TRUE	Augsburg|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de033l_augsburg_2005-2009	None	obsolete
bd23a7d4-ce08-412d-94eb-ad50261621ca	None	Urban Atlas - United Kingdom - Wrexham	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd23a7d4-ce08-412d-94eb-ad50261621ca.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50252421004131151112B3 (PS) (Date: 2010/04/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd23a7d4-ce08-412d-94eb-ad50261621ca	2010	2010	FALSE	Land use|United Kingdom|Wrexham	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk022l_wrexham_2010	None	obsolete
ecb7d0d2-7b13-42d1-8721-717cde9f9a4a	None	Urban Atlas - Czech Republic - Hradec Králové	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ecb7d0d2-7b13-42d1-8721-717cde9f9a4a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50652480609101022231B3 (PS) (Date: 2006/09/10) * Spot 5 2,50 m - 50662480708191022481B0 (PS) (Date: 2007/08/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ecb7d0d2-7b13-42d1-8721-717cde9f9a4a	2006	2007	TRUE	Czechia|Hradec Králové|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz009l_hradec_kralove_2006-2007	None	obsolete
88dcd632-e9ae-40a6-9279-2f535812aa56	None	Urban Atlas - Germany - Cologne (Köln)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88dcd632-e9ae-40a6-9279-2f535812aa56.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800014 (PS) (Date: 2006/07/14) * Spot 5 2,50 m - 00182800024 (PS) (Date: 2006/10/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88dcd632-e9ae-40a6-9279-2f535812aa56	2006	2006	FALSE	Cologne|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de004l_koln_2006	None	obsolete
b5fae76c-f130-42de-8282-ec5aeda14835	None	Urban Atlas - Belgium - Brussels (Brussel)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b5fae76c-f130-42de-8282-ec5aeda14835.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800006 (PS) (Date: 2005/10/10) * Spot 5 2,50 m - 00182800010 (PS) (Date: 2005/10/27)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b5fae76c-f130-42de-8282-ec5aeda14835	2005	2005	FALSE	Belgium|Brussels|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be001l_bruxelles_2005	None	obsolete
2b502f58-806d-4b9b-b28f-628f2139c904	None	Urban Atlas - Spain - Santiago de Compostela	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b502f58-806d-4b9b-b28f-628f2139c904.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50232630709201150061B7 (PS) (Date: 2007/09/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b502f58-806d-4b9b-b28f-628f2139c904	2007	2007	FALSE	Land use|Santiago de Compostela|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-es011l_santiago_de_compostela_2007	None	obsolete
bd8bda5c-a3ca-4f0b-ad55-fc8d777539f5	None	Urban Atlas - Hungary - Nyíregyháza	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd8bda5c-a3ca-4f0b-ad55-fc8d777539f5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50802520510050920572B0 (PS) (Date: 2005/10/05) * Spot 5 2,50 m - 50802530510050921052B0 (PS) (Date: 2005/10/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd8bda5c-a3ca-4f0b-ad55-fc8d777539f5	2005	2005	FALSE	Hungary|Land use|Nyíregyháza	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu003l_nyiregyhaza_2005	None	obsolete
3b00f469-0fe9-4256-9486-732a7ab36535	None	Urban Atlas - Austria - Linz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b00f469-0fe9-4256-9486-732a7ab36535.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00185800018 (PS) (Date: 2006/07/20) * Spot 5 2,50 m - 00185800019 (PS) (Date: 2007/09/16) * Spot 5 2,50 m - 00185800022 (PS) (Date: 2006/09/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b00f469-0fe9-4256-9486-732a7ab36535	2006	2007	TRUE	Austria|Land use|Linz	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-at003l_linz_2006-2007	None	obsolete
b9dd265a-77e5-47a3-b532-6f9fca79ea62	None	Urban Atlas - Belgium - Liège (Luik)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9dd265a-77e5-47a3-b532-6f9fca79ea62.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784004 (MS) (Date: 2006/07/18) * Spot 5 2,50 m - 00182793004 (P) (Date: 2006/07/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9dd265a-77e5-47a3-b532-6f9fca79ea62	2006	2006	FALSE	Belgium|Land use|Liège	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be005l_liege_2006	None	obsolete
81511109-f329-41b9-b82b-c11415652160	None	Urban Atlas - Greece - Kalamata (Καλαμάτα)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81511109-f329-41b9-b82b-c11415652160.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50892750608130923492B1 (PS) (Date: 2006/08/13) * Spot 5 2,50 m - 50902760508190928381B0 (PS) (Date: 2005/08/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81511109-f329-41b9-b82b-c11415652160	2005	2006	TRUE	Greece|Kalamata|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr009l_kalamata_2005-2006	None	obsolete
ba59cf50-bb13-4e25-8406-b18c465e9628	None	Urban Atlas - France - Aix-en-Provence	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba59cf50-bb13-4e25-8406-b18c465e9628.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070309_101559_DLR_5971_PRUTM (XS) (Date: 2007/03/09) * ALOS 2,50 m - AL_PSM_P_20070312_103919_DLR_6015_PRUTM (P) (Date: 2007/03/12) * ALOS 2,50 m - AL_PSM_P_20070312_103924_DLR_6015_PRUTM (P) (Date: 2007/03/12) * ALOS 2,50 m - AL_PSM_P_20070728_103914_DLR_8028_PRUTM (P) (Date: 2007/07/28) * ALOS 2,50 m - AL_PSM_P_20070728_103918_DLR_8028_PRUTM (P) (Date: 2007/07/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba59cf50-bb13-4e25-8406-b18c465e9628	2007	2007	FALSE	Aix-en-Provence|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr202c_aix_en_provence_2007	None	obsolete
7fe0d480-5882-4b4b-856a-b55f772bf63c	None	Urban Atlas - Italy - Turin (Torino)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7fe0d480-5882-4b4b-856a-b55f772bf63c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00185800008 (PS) (Date: 2005/10/16) * Spot 5 2,50 m - 00185800010 (PS) (Date: 2006/07/30) * Spot 5 2,50 m - 00185800012 (PS) (Date: 2006/08/04) * Spot 5 2,50 m - 00185800013 (PS) (Date: 2006/10/16) * Spot 5 2,50 m - 00185800014 (PS) (Date: 2006/06/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7fe0d480-5882-4b4b-856a-b55f772bf63c	2005	2006	TRUE	Italy|Land use|Turin	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it004l_torino_2005-2006	None	obsolete
51b11bcb-a2a4-4481-b446-04c6080bfe08	None	Urban Atlas - United Kingdom - Birmingham	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/51b11bcb-a2a4-4481-b446-04c6080bfe08.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50262431010251102002B1 (PS) (Date: 2010/10/25) * Spot 5 2,50 m - 50262440606171057152B0 (PS) (Date: 2006/06/17) * Spot 5 2,50 m - 50292441004211057302B0 (PS) (Date: 2010/04/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51b11bcb-a2a4-4481-b446-04c6080bfe08	2006	2010	TRUE	Birmingham|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk002l_birmingham_2006-2010	None	obsolete
f5021f30-43d5-455e-b938-16732796fb90	None	Urban Atlas - France - Nice	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5021f30-43d5-455e-b938-16732796fb90.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20080328_101546_DLR_11587_PREU (XS) (Date: 2008/03/28) * ALOS 2,50 m - AL_PSM_P_20070422_103256_DLR_6613_PREU (P) (Date: 2007/04/22) * ALOS 2,50 m - AL_PSM_P_20070422_103252_DLR_6613_PREU (P) (Date: 2007/04/22) * ALOS 2,50 m - AL_PSM_P_20080424_103010_DLR_11981_PREU (P) (Date: 2008/04/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5021f30-43d5-455e-b938-16732796fb90	2007	2008	TRUE	France|Land use|Nice	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-fr205c_nice_2007-2008	None	obsolete
5de11c72-9296-429a-aa0f-2dbc58112ab0	None	Urban Atlas - United Kingdom - London	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5de11c72-9296-429a-aa0f-2dbc58112ab0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50302450611191116381B0 (PS) (Date: 2006/11/19) * Spot 5 2,50 m - 50302460611191116471B0 (PS) (Date: 2006/11/19) * Spot 5 2,50 m - 50322460611091109051B0 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50332440611091108491B0 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50332450611091108571B0 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50342450910151110342B0 (PS) (Date: 2009/10/15) * Spot 5 2,50 m - 50342450910151110342B6 (PS) (Date: 2009/10/15) * Spot 5 2,50 m - 50342460909251054512B5 (PS) (Date: 2009/09/25) * Spot 5 2,50 m - 50352460805071122122B5 (PS) (Date: 2008/05/07) * Spot 5 2,50 m - 50302450611191116381B0 (PS) (Date: 2006/11/19) * Spot 5 2,50 m - 50302460611191116471B0 (PS) (Date: 2006/11/19) * Spot 5 2,50 m - 50322460611091109051B0 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50332440611091108491B0 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50332450611091108571B0 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50342450910151110342B0 (PS) (Date: 2009/10/15) * Spot 5 2,50 m - 50342450910151110342B6 (PS) (Date: 2009/10/15) * Spot 5 2,50 m - 50342460909251054512B5 (PS) (Date: 2009/09/25) * Spot 5 2,50 m - 50352460805071122122B5 (PS) (Date: 2008/05/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5de11c72-9296-429a-aa0f-2dbc58112ab0	2006	2009	TRUE	Land use|London|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-uk001l_london_2006-2009	None	obsolete
006de203-585e-4d4d-9c2d-1057f38c5856	None	Urban Atlas - Germany - Nuremberg (Nürnberg)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/006de203-585e-4d4d-9c2d-1057f38c5856.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50562491006041011351B6 (PS) (Date: 2010/06/04) * Spot 5 2,50 m - 50572501006041011431B0 (PS) (Date: 2010/06/04) * Spot 5 2,50 m - 50582501004231019072B0 (PS) (Date: 2010/04/23) * Spot 5 2,50 m - 50582511004231019152B0 (PS) (Date: 2010/04/23) * ALOS 10 m - AL_AV2_X_20061016_110352_DLR_3871_PRUTM (XS) (Date: 2006/10/16) * ALOS 10 m - AL_AV2_X_20070416_094420_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 10 m - AL_AV2_X_20070619_102648_DLR_7459_PRUTM (XS) (Date: 2007/06/19) * ALOS 10 m - AL_AV2_X_20070701_102246_DLR_7634_PRUTM (XS) (Date: 2007/07/01) * ALOS 10 m - AL_AV2_X_20080703_101910_DLR_13002_PRUTM (XS) (Date: 2008/07/03) * ALOS 10 m - AL_AV2_X_20090809_102816_DLR_18866_PRUTM (XS) (Date: 2009/08/09) * ALOS 2,50 m - AL_PSM_P_20070504_102658_DLR_6788_PRUTM (P) (Date: 2007/05/04) * ALOS 2,50 m - AL_PSM_P_20070614_102038_DLR_7386_PRUTM (P) (Date: 2007/06/14) * ALOS 2,50 m - AL_PSM_P_20080703_101910_DLR_13002_PRUTM (P) (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20080703_101914_DLR_13002_PRUTM (P) (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20080703_101918_DLR_13002_PRUTM (P) (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20090422_102525_DLR_17276_PRUTM (P) (Date: 2009/04/22) * ALOS 2,50 m - AL_PSM_P_20090422_102530_DLR_17276_PRUTM (P) (Date: 2009/04/22) * ALOS 2,50 m - AL_PSM_P_20090907_102618_DLR_19289_PRUTM (P) (Date: 2009/09/07) * ALOS 2,50 m - AL_PSM_P_20090907_102622_DLR_19289_PRUTM (P) (Date: 2009/09/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/006de203-585e-4d4d-9c2d-1057f38c5856	2006	2010	TRUE	Germany|Land use|Nuremberg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de014l_nurnberg_2006-2010	None	obsolete
22c84aa8-5a03-4c7f-ba1c-1b8d17df70ad	None	Urban Atlas - Italy - Ancona	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/22c84aa8-5a03-4c7f-ba1c-1b8d17df70ad.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20080705_100339_DLR_13031_PRUTM (XS) (Date: 2008/07/05) * ALOS 2,50 m - AL_PSM_P_20080218_100529_DLR_11018_PRUTM (P) (Date: 2008/02/18) * ALOS 2,50 m - AL_PSM_P_20080218_100533_DLR_11018_PRUTM (P) (Date: 2008/02/18) * ALOS 2,50 m - AL_PSM_P_20080705_100339_DLR_13031_PRUTM (P) (Date: 2008/07/05) * ALOS 2,50 m - AL_PSM_P_20080705_100343_DLR_13031_PRUTM (P) (Date: 2008/07/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/22c84aa8-5a03-4c7f-ba1c-1b8d17df70ad	2008	2008	FALSE	Ancona|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it017l_ancona_2008	None	obsolete
83bc4170-ac2b-451b-aa57-34b52c1d3487	None	Urban Atlas - Germany - Munich (München)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/83bc4170-ac2b-451b-aa57-34b52c1d3487.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00182784009 (XS) (Date: 2004/05/20) * SPOT 5 2,50 m - 00182784010 (XS) (Date: 2006/07/20) * SPOT 5 2,50 m - 00182784011 (XS) (Date: 2006/05/04) * SPOT 5 2,50 m - 00182784012 (XS) (Date: 2007/04/27) * SPOT 5 2,50 m - 00182784013 (XS) (Date: 2006/10/11) * SPOT 5 2,50 m - 00182793008 (P) (Date: 2005/10/13) * SPOT 5 2,50 m - 00182793009 (P) (Date: 2006/05/08) * SPOT 5 2,50 m - 00182793010 (P) (Date: 2005/09/22) * SPOT 5 2,50 m - 00182793011 (P) (Date: 2005/10/18) * SPOT 5 2,50 m - 00182793012 (P) (Date: 2005/10/18)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83bc4170-ac2b-451b-aa57-34b52c1d3487	2004	2007	TRUE	Germany|Land use|Munich	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de003l_munchen_2004-2007	None	obsolete
a32cdbf3-9190-4e0a-89b6-c3a51c6be11b	None	Urban Atlas - Estonia - Tartu	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a32cdbf3-9190-4e0a-89b6-c3a51c6be11b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800004 (PS) (Date: 2005/09/27) * Spot 5 2,50 m - 00182800009 (PS) (Date: 2005/10/14) * Spot 5 2,50 m - 00182800018 (PS) (Date: 2006/08/07) * Spot 5 2,50 m - 00182800019 (PS) (Date: 2006/08/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a32cdbf3-9190-4e0a-89b6-c3a51c6be11b	2005	2006	TRUE	Estonia|Land use|Tartu	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ee002l_tartu_2005-2006	None	obsolete
efd69677-27e3-46a2-a8cc-beeb804e6b96	None	Urban Atlas - Belgium - Antwerp (Antwerpen)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/efd69677-27e3-46a2-a8cc-beeb804e6b96.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800007 (PS) (Date: 2005/10/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/efd69677-27e3-46a2-a8cc-beeb804e6b96	2005	2005	FALSE	Antwerp|Belgium|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be002l_antwerpen_2005	None	obsolete
380c8a3d-5dad-41b8-94cf-6aecbb855fb7	None	Urban Atlas - Poland - Katowice	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/380c8a3d-5dad-41b8-94cf-6aecbb855fb7.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00186550001 (XS) (Date: 2007/05/13) * SPOT 5 2,50 m - 00186550002 (XS) (Date: 2007/08/06) * SPOT 5 2,50 m - 00186550004 (XS) (Date: 2008/06/03) * SPOT 5 2,50 m - 00186550005 (XS) (Date: 2008/08/07) * SPOT 5 2,50 m - 00186550006 (P) (Date: 2007/05/13) * SPOT 5 2,50 m - 00186550007 (P) (Date: 2007/08/06) * SPOT 5 2,50 m - 00186550009 (P) (Date: 2008/06/03) * SPOT 5 2,50 m - 00186550010 (P) (Date: 2008/08/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/380c8a3d-5dad-41b8-94cf-6aecbb855fb7	2007	2008	TRUE	Katowice|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl010l_katowice_2007-2008	None	obsolete
fe58318d-c95d-441a-8e22-052c80452103	None	Urban Atlas - Germany - Dresden	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe58318d-c95d-441a-8e22-052c80452103.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 0018580015 (PS) (Date: 2005/09/22) * SPOT 5 2,50 m - 0018580016 (PS) (Date: 2005/09/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe58318d-c95d-441a-8e22-052c80452103	2005	2005	FALSE	Dresden|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-de009l_dresden_2005	None	obsolete
2227d13e-ff88-4c78-ba05-a77dcb237471	None	Urban Atlas - Sweden - Stockholm	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2227d13e-ff88-4c78-ba05-a77dcb237471.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50612280909101039532J0 (XS) (Date: 2009/09/10) * Spot 5 10 m - 50612290910090942502J0 (XS) (Date: 2009/10/09) * Spot 5 10 m - 50612300909151044072J0 (XS) (Date: 2009/09/15) * Spot 5 10 m - 50622270908151039132J9 (XS) (Date: 2009/08/15) * Spot 5 10 m - 50622290910081002062J0 (XS) (Date: 2009/10/08) * Spot 5 10 m - 50622300906270940402J0 (XS) (Date: 2009/06/27) * Spot 5 2,50 m - 50612280909101039512B0 (P) (Date: 2009/09/10) * Spot 5 2,50 m - 50612290910090942472B0 (P) (Date: 2009/10/09) * Spot 5 2,50 m - 50612300909151044042B0 (P) (Date: 2009/09/15) * Spot 5 2,50 m - 50622270908151039102B9 (P) (Date: 2009/08/15) * Spot 5 2,50 m - 50622290910081002042B0 (P) (Date: 2009/10/08) * Spot 5 2,50 m - 50622300906270940372B0 (P) (Date: 2009/06/27) * ALOS 10 m - AL_AV2_X_20070811_101306_DLR_8232_PRUTM (XS) (Date: 2007/08/11) * ALOS 10 m - AL_AV2_X_20070811_101314_DLR_8232_PRUTM (XS) (Date: 2007/08/11) * ALOS 10 m - AL_AV2_X_20070811_101322_DLR_8232_PRUTM (XS) (Date: 2007/08/11) * ALOS 10 m - AL_AV2_X_20080727_100738_DLR_13352_PRUTM (XS) (Date: 2008/07/27) * ALOS 10 m - AL_AV2_X_20080727_100746_DLR_13352_PRUTM (XS) (Date: 2008/07/27) * ALOS 10 m - AL_AV2_X_20080727_100755_DLR_13352_PRUTM (XS) (Date: 2008/07/27) * ALOS 10 m - AL_AV2_X_20080727_100803_DLR_13352_PRUTM (XS) (Date: 2008/07/27) * ALOS 2,50 m - AL_PSM_P_20070609_101103_DLR_7313_PRUTM (P) (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20070609_101107_DLR_7313_PRUTM (P) (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20070609_101112_DLR_7313_PRUTM (P) (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20070609_101116_DLR_7313_PRUTM (P) (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20070609_101124_DLR_7313_PRUTM (P) (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20080530_101205_DLR_12506_PRUTM (P) (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080530_101209_DLR_12506_PRUTM (P) (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080710_100543_DLR_13104_PRUTM (P) (Date: 2008/07/10) * ALOS 2,50 m - AL_PSM_P_20080710_100547_DLR_13104_PRUTM (P) (Date: 2008/07/10) * ALOS 2,50 m - AL_PSM_P_20090417_101609_DLR_17203_PRUTM (P) (Date: 2009/04/17) * ALOS 2,50 m - AL_PSM_P_20090417_101613_DLR_17203_PRUTM (P) (Date: 2009/04/17) * ALOS 2,50 m - AL_PSM_P_20090417_101617_DLR_17203_PRUTM (P) (Date: 2009/04/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2227d13e-ff88-4c78-ba05-a77dcb237471	2007	2009	TRUE	Land use|Stockholm|Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-se001l_stockholm_2007-2009	None	obsolete
57703936-5d85-45ac-accd-d73a1ec2e1d0	None	Urban Atlas - France - Nantes	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/57703936-5d85-45ac-accd-d73a1ec2e1d0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157001 (PS) (Date: 2004/05/23) * Spot 5 2,50 m - 00187157042 (PS) (Date: 2008/10/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57703936-5d85-45ac-accd-d73a1ec2e1d0	2004	2008	TRUE	France|Land use|Nantes	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-fr008l_nantes_2004-2008	None	obsolete
1f826b7c-e23d-4a5a-afc6-d46b8bbaa8e4	None	Urban Atlas - Netherlands - Apeldoorn	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f826b7c-e23d-4a5a-afc6-d46b8bbaa8e4.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157024 (PS) (Date: 2005/10/12)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f826b7c-e23d-4a5a-afc6-d46b8bbaa8e4	2005	2005	FALSE	Apeldoorn|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-nl014l_apeldoorn_2005	None	obsolete
8a340e78-576b-4623-84e6-9bcd32b7713f	None	Urban Atlas - Portugal - Braga	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a340e78-576b-4623-84e6-9bcd32b7713f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070508_113332_DLR_6847_PREU (XS) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113332_DLR_6847_PREU (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113336_DLR_6847_PREU (P) (Date: 2007/05/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a340e78-576b-4623-84e6-9bcd32b7713f	2007	2007	FALSE	Braga|Land use|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt003l_braga_2007	None	obsolete
6bb5bf09-e0ab-4665-a9b0-2ba46e3a4bca	None	Urban Atlas - Germany - Essen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6bb5bf09-e0ab-4665-a9b0-2ba46e3a4bca.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50452451005221101222B3 (PS) (Date: 2010/05/22) * Spot 5 2,50 m - 50462451004171034022B0 (PS) (Date: 2010/04/17) * Spot 5 2,50 m - 50472460908151042082B0 (PS) (Date: 2009/08/15) * Spot 5 2,50 m - 50492451004071026092B4 (PS) (Date: 2010/04/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6bb5bf09-e0ab-4665-a9b0-2ba46e3a4bca	2009	2010	TRUE	Essen|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de038l_essen_2009-2010	None	obsolete
f0320c6c-aeb9-4b1a-b3d2-c4a87dcf3fda	None	Urban Atlas - Italy - Bologna	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f0320c6c-aeb9-4b1a-b3d2-c4a87dcf3fda.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157003 (PS) (Date: 2005/05/30) * Spot 5 2,50 m - 00187157034 (PS) (Date: 2006/07/20) * Spot 5 2,50 m - 00187157035 (PS) (Date: 2006/08/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0320c6c-aeb9-4b1a-b3d2-c4a87dcf3fda	2005	2006	TRUE	Bologna|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it009l_bologna_2005-2006	None	obsolete
18ea35d5-cab9-4da2-ace3-c68012549dcc	None	Urban Atlas - United Kingdom - Kingston upon Hull	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/18ea35d5-cab9-4da2-ace3-c68012549dcc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50292400907131115442B0 (Date: 2009/07/13) * Spot 5 2,50 m - 50292401003081142502B0 (Date: 2010/03/08) * Spot 5 2,50 m - 50292411010281144052B0 (Date: 2010/10/28) * Spot 5 2,50 m - 50302410911251122192B0 (Date: 2009/11/25) * RapidEye 5 m - 2009-05-30T115357_RE2_3A-NAC_5649179_105603 (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T115358_RE2_3A-NAC_5649174_105603 (Date: 2009/05/30) * RapidEye 5 m - 2009-05-31T115302_RE3_3A-NAC_5649181_105603 (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T115305_RE3_3A-NAC_5649177_105603 (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T115306_RE3_3A-NAC_5649184_105603 (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T115309_RE3_3A-NAC_5648814_105603 (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T115309_RE3_3A-NAC_5648816_105603 (Date: 2009/05/31) * RapidEye 5 m - 2009-06-24T115641_RE3_3A-NAC_5648811_105603 (Date: 2009/06/24) * RapidEye 5 m - 2009-06-24T115641_RE3_3A-NAC_5648818_105603 (Date: 2009/06/24) * RapidEye 5 m - 2009-06-24T115643_RE3_3A-NAC_5648817_105603 (Date: 2009/06/24) * RapidEye 5 m - 2009-06-24T115644_RE3_3A-NAC_5649173_105603 (Date: 2009/06/24) * RapidEye 5 m - 2009-09-09T115229_RE4_3A-NAC_5649176_105603 (Date: 2009/09/09) * RapidEye 5 m - 2009-10-08T120049_RE4_3A-NAC_5648813_105603 (Date: 2009/10/08) * RapidEye 5 m - 2009-10-08T120051_RE4_3A-NAC_5648819_105603 (Date: 2009/10/08) * RapidEye 5 m - 2009-10-08T120052_RE4_3A-NAC_5649178_105603 (Date: 2009/10/08) * RapidEye 5 m - 2009-10-08T120052_RE4_3A-NAC_5648743_105603 (Date: 2009/10/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18ea35d5-cab9-4da2-ace3-c68012549dcc	2009	2010	TRUE	Kingston upon Hull|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk026l_kingston_upon_hull_2009-2010	None	obsolete
94593aef-f91d-4605-8b20-84a2e08f0425	None	Urban Atlas - Italy - Padua (Padova)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94593aef-f91d-4605-8b20-84a2e08f0425.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157002 (PS) (Date: 2005/05/30) * Spot 5 2,50 m - 00187157005 (PS) (Date: 2005/06/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94593aef-f91d-4605-8b20-84a2e08f0425	2005	2005	FALSE	Italy|Land use|Padua	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it028l_padova_2005	None	obsolete
38de05c8-2dd7-4e95-881b-1aea08cd0017	None	Urban Atlas - France - Rennes	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/38de05c8-2dd7-4e95-881b-1aea08cd0017.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157006 (PS) (Date: 2005/07/12) * Spot 5 2,50 m - 00187157007 (PS) (Date: 2005/07/12) * Spot 5 2,50 m - 00187157017 (PS) (Date: 2005/09/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38de05c8-2dd7-4e95-881b-1aea08cd0017	2005	2005	FALSE	France|Land use|Rennes	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-fr013l_rennes_2005	None	obsolete
5919ecf1-52f9-4f2c-bbbb-1320a9ced218	None	Urban Atlas - Ireland - Waterford (Port Láirge)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5919ecf1-52f9-4f2c-bbbb-1320a9ced218.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50172440909121144462B0 (PS) (Date: 2006/06/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5919ecf1-52f9-4f2c-bbbb-1320a9ced218	2006	2006	FALSE	Ireland|Land use|Waterford	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-ie005c_waterford_2006	None	obsolete
ffd676e8-b6e1-427d-8849-9ae3c1c8847c	None	Urban Atlas - Romania - Bucharest (Bucureşti)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ffd676e8-b6e1-427d-8849-9ae3c1c8847c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784045 (XS) (Date: 2007/04/09) * Spot 5 2,50 m - 00182784046 (XS) (Date: 2005/08/30) * Spot 5 2,50 m - 00182784047 (XS) (Date: 2007/05/16) * Spot 5 2,50 m - 00182793045 (P) (Date: 2007/04/09) * Spot 5 2,50 m - 00182793046 (P) (Date: 2005/08/30) * Spot 5 2,50 m - 00182793047 (P) (Date: 2007/05/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ffd676e8-b6e1-427d-8849-9ae3c1c8847c	2005	2007	TRUE	Bucharest|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro001l_bucuresti_2005-2007	None	obsolete
5dd30888-595e-45a1-acb7-017f99b69988	None	Urban Atlas - United Kingdom - Aberdeen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5dd30888-595e-45a1-acb7-017f99b69988.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50182320906251200412B0 (Date: 2009/06/25) * Spot 5 2,50 m - 50182330906251200472B0 (Date: 2009/06/25) * Spot 5 2,50 m - 50212320910291140132B0 (Date: 2009/10/29) * Spot 5 2,50 m - 50212330911091128572B0 (Date: 2009/11/09) * Spot 5 2,50 m - 50212340911091129062B0 (Date: 2009/11/09) * RapidEye 5 m - 2009-05-12T121414_RE2_3A-NAC_5648225_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121415_RE2_3A-NAC_5647942_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121415_RE2_3A-NAC_5648118_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121416_RE2_3A-NAC_5647939_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121417_RE2_3A-NAC_5648342_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121417_RE2_3A-NAC_5647781_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121419_RE2_3A-NAC_5647894_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121420_RE2_3A-NAC_5648224_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-12T121421_RE2_3A-NAC_5648418_105467 (Date: 2009/05/12) * RapidEye 5 m - 2009-05-17T121901_RE2_3A-NAC_5648421_105467 (Date: 2009/05/17) * RapidEye 5 m - 2009-05-17T121911_RE2_3A-NAC_5648420_105467 (Date: 2009/05/17) * RapidEye 5 m - 2009-05-30T121219_RE1_3A-NAC_5648123_105467 (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121222_RE1_3A-NAC_5648114_105467 (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121223_RE1_3A-NAC_5648341_105467 (Date: 2009/05/30) * RapidEye 5 m - 2009-06-25T121606_RE3_3A-NAC_5648223_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121610_RE3_3A-NAC_5648122_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121611_RE3_3A-NAC_5648117_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121613_RE3_3A-NAC_5647940_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121614_RE3_3A-NAC_5648228_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121617_RE3_3A-NAC_5648121_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121618_RE3_3A-NAC_5647941_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121621_RE3_3A-NAC_5648222_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-06-25T121622_RE3_3A-NAC_5647936_105467 (Date: 2009/06/25) * RapidEye 5 m - 2009-09-12T121611_RE1_3A-NAC_5648232_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121612_RE1_3A-NAC_5648231_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121613_RE1_3A-NAC_5648119_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121613_RE1_3A-NAC_5648115_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121614_RE1_3A-NAC_5648116_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121615_RE1_3A-NAC_5648343_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121616_RE1_3A-NAC_5648419_105467 (Date: 2009/09/12) * RapidEye 5 m - 2009-10-16T121002_RE2_3A-NAC_5648120_105467 (Date: 2009/10/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5dd30888-595e-45a1-acb7-017f99b69988	2009	2009	FALSE	Aberdeen|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk016l_aberdeen_2009	None	obsolete
97435b77-4cbb-4aa8-a611-d8905b66483a	None	Urban Atlas - United Kingdom - Glasgow	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/97435b77-4cbb-4aa8-a611-d8905b66483a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50182361009261159112B0 (PS) (Date: 2010/09/26) * Spot 5 2,50 m - 50212360911081148352B0 (PS) (Date: 2009/11/08) * Spot 5 2,50 m - 50212370911081148442B0 (PS) (Date: 2009/11/08) * RapidEye 5 m - 2009-05-30T121236_RE1_3A-NAC_5649383_105639 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121237_RE1_3A -NAC_5649421_105639 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121240_RE1_3A -NAC_5649262_105639 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121241_RE1_3A -NAC_5649260_105639 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121242_RE1_3A -NAC_5649520_105639 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-05-30T121244_RE1_3A -NAC_5649263_105639 (XS) (Date: 2009/05/30) * RapidEye 5 m - 2009-06-29T122216_RE2_3A -NAC_5650404_105639 (XS) (Date: 2009/06/29) * RapidEye 5 m - 2009-08-22T121338_RE4_3A -NAC_5650333_105639 (XS) (Date: 2009/08/22) * RapidEye 5 m - 2009-08-22T121342_RE4_3A -NAC_5650331_105639 (XS) (Date: 2009/08/22) * RapidEye 5 m - 2009-08-22T121345_RE4_3A -NAC_5650330_105639 (XS) (Date: 2009/08/22) * RapidEye 5 m - 2009-08-22T121345_RE4_3A -NAC_5650332_105639 (XS) (Date: 2009/08/22) * RapidEye 5 m - 2009-09-12T121637_RE1_3A -NAC_5649384_105639 (XS) (Date: 2009/09/12) * RapidEye 5 m - 2009-09-12T121638_RE1_3A -NAC_5649522_105639 (XS) (Date: 2009/09/12) * RapidEye 5 m - 2009-10-16T121016_RE2_3A -NAC_5649420_105639 (XS) (Date: 2009/10/16) * RapidEye 5 m - 2009-10-16T121016_RE2_3A -NAC_5649349_105639 (XS) (Date: 2009/10/16) * RapidEye 5 m - 2009-10-16T121019_RE2_3A -NAC_5649519_105639 (XS) (Date: 2009/10/16) * RapidEye 5 m - 2009-10-16T121020_RE2_3A -NAC_5649261_105639 (XS) (Date: 2009/10/16) * RapidEye 5 m - 2009-10-16T121023_RE2_3A -NAC_5649346_105639 (XS) (Date: 2009/10/16) * RapidEye 5 m - 2009-10-16T121026_RE2_3A -NAC_5649518_105639 (XS) (Date: 2009/10/16) * RapidEye 5 m - 2009-10-16T121027_RE2_3A -NAC_5649347_105639 (XS) (Date: 2009/10/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/97435b77-4cbb-4aa8-a611-d8905b66483a	2009	2010	TRUE	Glasgow|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk004l_glasgow_2009-2010	None	obsolete
56e783e7-cdbb-42ed-8733-6425b5eba731	None	Urban Atlas - Netherlands - Groningen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56e783e7-cdbb-42ed-8733-6425b5eba731.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m 00187157020 (PS)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56e783e7-cdbb-42ed-8733-6425b5eba731	2005	2005	FALSE	Groningen|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-nl007l_groningen_2005	None	obsolete
2bf92bd8-340a-4871-bd04-0d5602309a49	None	Urban Atlas - Spain - Alicante	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2bf92bd8-340a-4871-bd04-0d5602309a49.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20080427_105505_DLR_12025_PRUTM (XS) (Date: 2008/04/27) * ALOS 2,50 m - AL_AV2_X_20080427_105513_DLR_12025_PRUTM (XS) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20070910_105741_DLR_8670_PRUTM (P) (Date: 2007/09/10) * ALOS 2,50 m - AL_PSM_P_20070910_105745_DLR_8670_PRUTM (P) (Date: 2007/09/10) * ALOS 2,50 m - AL_PSM_P_20080427_105509_DLR_12025_PRUTM (P) (Date: 2008/04/27) * ALOS 2,50 m - AL_PSM_P_20080427_105513_DLR_12025_PRUTM (P) (Date: 2008/04/27)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2bf92bd8-340a-4871-bd04-0d5602309a49	2007	2008	TRUE	Alicante|Land use|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es021l_alicante_2007-2008	None	obsolete
49615b89-eb44-4793-8d44-3cb8e8bc048a	None	Urban Atlas - Italy - Reggio Calabria	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/49615b89-eb44-4793-8d44-3cb8e8bc048a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070606_095337_DLR_7269_PRUTM (XS) (Date: 2007/06/06) * ALOS 2,50 m - AL_PSM_P_20070606_095337_DLR_7269_PRUTM (P) (Date: 2007/06/06) * ALOS 2,50 m - AL_PSM_P_20070606_095341_DLR_7269_PRUTM (P) (Date: 2007/06/06)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49615b89-eb44-4793-8d44-3cb8e8bc048a	2007	2007	FALSE	Italy|Land use|Reggio Calabria	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it025l_reggio_di_calabria_2007	None	obsolete
223edcb2-c2a3-4702-b8b4-e02d50d930ee	None	Urban Atlas - Czech Republic - Budweis (České Budějovice)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/223edcb2-c2a3-4702-b8b4-e02d50d930ee.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50652500710151026062B9 (PS) (Date: 2007/10/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/223edcb2-c2a3-4702-b8b4-e02d50d930ee	2007	2007	FALSE	Budweis|Czechia|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz008l_ceske_budejovice_2007	None	obsolete
2452125d-eeed-479b-bd73-f8ceb2528992	None	Urban Atlas - Germany - Bremen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2452125d-eeed-479b-bd73-f8ceb2528992.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538020 (PS) (Date: 2005/10/06) * Spot 5 2,50 m - 00183538022 (PS) (Date: 2005/10/11) * Spot 5 2,50 m - 00183538028 (PS) (Date: 2006/07/13) * Spot 5 2,50 m - 00183538030 (PS) (Date: 2006/07/19) * Spot 5 2,50 m - 00183538031 (PS) (Date: 2006/07/19) * Spot 5 2,50 m - 00183538040 (PS) (Date: 2006/09/14) * Spot 5 2,50 m - 00183538041 (PS) (Date: 2006/09/14) * Spot 5 2,50 m - 00183756029 (PS) (Date: 2006/07/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2452125d-eeed-479b-bd73-f8ceb2528992	2005	2006	TRUE	Bremen|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de012l_bremen_2005-2006	None	obsolete
80dabd69-ad4e-49b9-88f7-a8745e606d61	None	Urban Atlas - Germany - Regensburg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/80dabd69-ad4e-49b9-88f7-a8745e606d61.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50592500504231036461B1 (PS) (Date: 2005/04/23) * Spot 5 2,50 m - 50592510609251034321B0 (PS) (Date: 2006/09/25) * Spot 5 2,50 m - 50592520609251034411B0 (PS) (Date: 2006/09/25) * Spot 5 2,50 m - 50602510509051038501B0 (PS) (Date: 2005/09/05) * Spot 5 2,50 m - 50602520610111026582B0 (PS) (Date: 2006/10/11) * RapidEye 5 m - 2009-07-27T105412_RE1_3A-NAC_6204358_110223 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-07-27T105415_RE1_3A-NAC_6300639_110223 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-07-27T105416_RE1_3A-NAC_6204349_110223 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-07-27T105419_RE1_3A-NAC_6204351_110223 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-07-27T105422_RE1_3A-NAC_6204353_110223 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-09-09T105749_RE2_3A-NAC_6204345_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105749_RE2_3A-NAC_6204356_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105751_RE2_3A-NAC_6204348_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105752_RE2_3A-NAC_6204354_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105752_RE2_3A-NAC_6300638_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105755_RE2_3A-NAC_6204364_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105756_RE2_3A-NAC_6204346_110223 (XS) (Date: 2009/09/09) * RapidEye 5 m - 2009-09-09T105756_RE2_3A-NAC_6204295_110223 (XS) (Date: 2009/09/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80dabd69-ad4e-49b9-88f7-a8745e606d61	2005	2009	TRUE	Germany|Land use|Regensburg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de028l_regensburg_2005-2009	None	obsolete
e0b437a8-fbd6-4d32-a250-3ec66ad93fa1	None	Urban Atlas - Portugal - Faro	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e0b437a8-fbd6-4d32-a250-3ec66ad93fa1.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070725_115544_DLR_7985_PRUTM (XS) (Date: 2007/07/25) * ALOS 2,50 m - AL_PSM_P_20061014_112512_DLR_3842_PRUTM (P) (Date: 2006/10/14) * ALOS 2,50 m - AL_PSM_P_20070601_112611_DLR_7197_PRUTM (P) (Date: 2007/06/01) * ALOS 2,50 m - AL_PSM_P_20070601_112615_DLR_7197_PRUTM (P) (Date: 2007/06/01) * ALOS 2,50 m - AL_PSM_P_20070717_112607_DLR_7868_PRUTM (P) (Date: 2007/07/17) * ALOS 2,50 m - AL_PSM_P_20070717_112611_DLR_7868_PRUTM (P) (Date: 2007/07/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e0b437a8-fbd6-4d32-a250-3ec66ad93fa1	2006	2007	TRUE	Faro|Land use|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt009l_faro_2006-2007	None	obsolete
a676ef25-3ad8-4626-b904-74303d34bdd0	None	Urban Atlas - Italy - Cagliari	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a676ef25-3ad8-4626-b904-74303d34bdd0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394019 (PS) (Date: 2006/05/14) * Spot 5 2,50 m - 00186394033 (PS) (Date: 2006/08/31)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a676ef25-3ad8-4626-b904-74303d34bdd0	2006	2006	FALSE	Cagliari|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it027l_cagliari_2006	None	obsolete
0b5d263b-1435-4f78-ae71-758da51d729d	None	Urban Atlas - Germany - Bonn	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b5d263b-1435-4f78-ae71-758da51d729d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50472471008141046422B0 (PS) (Date: 2010/0814) * Spot 5 2,50 m - 50482471006241026572B2 (PS) (Date: 2010/06/24) * ALOS 10 m - AL_AV2_X_20070716_104130_DLR_7853_PRUTM (XS) (Date: 2007/07/16) * ALOS 10 m - AL_AV2_X_20070716_104138_DLR_7853_PRUTM (XS) (Date: 2007/07/16) * ALOS 10 m - AL_AV2_X_20080701_103555_DLR_12973_PRUTM (XS) (Date: 2008/07/01) * ALOS 2,50 m - AL_PSM_P_20070716_104130_DLR_7853_PRUTM (P) (Date: 2007/07/16) * ALOS 2,50 m - AL_PSM_P_20070716_104134_DLR_7853_PRUTM (P) (Date: 2007/07/16) * ALOS 2,50 m - AL_PSM_P_20070716_104138_DLR_7853_PRUTM (P) (Date: 2007/07/16) * ALOS 2,50 m - AL_PSM_P_20080701_103555_DLR_12973_PRUTM (P) (Date: 2008/07/01) * ALOS 2,50 m - AL_PSM_P_20080701_103559_DLR_12973_PRUTM ((P)) (Date: 2008/07/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b5d263b-1435-4f78-ae71-758da51d729d	2007	2010	TRUE	Bonn|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de034l_bonn_2007-2010	None	obsolete
1f094908-264e-434b-9d1e-a7f5511018f3	None	Urban Atlas - Italy - Milan (Milano)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f094908-264e-434b-9d1e-a7f5511018f3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182795001 (PS) (Date: 2006/07/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f094908-264e-434b-9d1e-a7f5511018f3	2006	2006	FALSE	Italy|Land use|Milan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it002l_milano_2006	None	obsolete
5dfe40f8-6c8c-4540-bc9e-0d30327531ea	None	Urban Atlas - Finland - Oulu	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5dfe40f8-6c8c-4540-bc9e-0d30327531ea.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - s5_065215_060810_1T (PS) (Date: 2006/08/10) * Spot 5 2,50 m - s5_066215_060915_2T (PS) (Date: 2006/09/15) * Spot 5 2,50 m - s5_066216_070925_2T (PS) (Date: 2007/09/25) * Spot 5 2,50 m - s5_069216_060805_1T (PS) (Date: 2006/08/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5dfe40f8-6c8c-4540-bc9e-0d30327531ea	2006	2007	TRUE	Finland|Land use|Oulu	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-fi004l_oulu_2006-2007	None	obsolete
6e910c51-9533-43a3-bebd-a59d496e02ec	None	Urban Atlas - Spain - Logroño	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e910c51-9533-43a3-bebd-a59d496e02ec.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50352640508041057072B9 (PS) (Date: 2005/08/04) * Spot 5 2,50 m - 50352640508131123581B1 (PS) (Date: 2005/08/13) * Spot 5 2,50 m - 50362650712141114552B0 (PS) (Date: 2007/12/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e910c51-9533-43a3-bebd-a59d496e02ec	2005	2007	TRUE	Land use|Logroño|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es018l_logrono_2005-2007	None	obsolete
8cfb3f63-4241-4c5f-98a2-211ddd114d53	None	Urban Atlas - Spain - Pamplona	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cfb3f63-4241-4c5f-98a2-211ddd114d53.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50362630607241048121B3 (Date: 2006/07/24) * Spot 5 2,50 m - 50362640607241048201B3 (Date: 2006/07/24) * Spot 5 2,50 m - 50372630709061119112B1 (Date: 2007/09/06) * Spot 5 2,50 m - 50372640708171104182B9 (Date: 2007/08/17) * Spot 5 2,50 m - 50372640711081107132B0 (Date: 2007/11/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8cfb3f63-4241-4c5f-98a2-211ddd114d53	2006	2007	TRUE	Land use|Pamplona|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es014l_pamplona_iruna_2006-2007	None	obsolete
d1e09570-15de-45e3-b01a-5e77a46cf4c8	None	Urban Atlas - Poland - Szczecin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1e09570-15de-45e3-b01a-5e77a46cf4c8.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394001 (PS) (Date: 2005/04/24) * Spot 5 2,50 m - 00186394014 (PS) (Date: 2005/10/12) * Spot 5 2,50 m - 00186394023 (PS) (Date: 2006/07/04) * Spot 5 2,50 m - 00186394024 (PS) (Date: 2006/07/04) * Spot 5 2,50 m - 00186394025 (PS) (Date: 2006/07/04) * Spot 5 2,50 m - 00186394047 (PS) (Date: 2007/10/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1e09570-15de-45e3-b01a-5e77a46cf4c8	2005	2007	TRUE	Land use|Poland|Szczecin	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-pl007l_szczecin_2005-2007	None	obsolete
7fb6b675-09c4-4b90-a123-4df40f64712b	None	Urban Atlas - Italy - Potenza	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7fb6b675-09c4-4b90-a123-4df40f64712b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50742680505010944531B1 (PS (Date: 2005/05/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7fb6b675-09c4-4b90-a123-4df40f64712b	2005	2005	FALSE	Italy|Land use|Potenza	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it023l_potenza_2005	None	obsolete
9c05fd33-9b78-43ea-b50f-3c74085bfd27	None	Urban Atlas - Czech Republic - Ostrava	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c05fd33-9b78-43ea-b50f-3c74085bfd27.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800020 (PS) (Date: 2006/09/12) * Spot 5 2,50 m - 00182800028 (PS) (Date: 2007/05/13) * Spot 5 2,50 m - 00182800029 (PS) (Date: 2007/05/13) * Spot 5 2,50 m - 00182800034 (PS) (Date: 2007/07/20) * Spot 5 2,50 m - 00182800035 (PS) (Date: 2007/07/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9c05fd33-9b78-43ea-b50f-3c74085bfd27	2006	2007	TRUE	Czechia|Land use|Ostrava	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-cz003l_ostrava_2006-2007	None	obsolete
b49c21ce-3ce1-4f6a-b3ba-d52b6aa69a06	None	Urban Atlas - Portugal - Ponta Delgada	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b49c21ce-3ce1-4f6a-b3ba-d52b6aa69a06.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * QuickBird 2,50 m - QB02_BGI_PM4_SO_20050211T123651_20050211T123655_USA_0_0000.TIFF (PS) (Date: 2005/02/11) * QuickBird 2,50 m - QB02_BGI_PM4_SO_20070112T124615_20070112T124619_USA_0_0000.TIFF (PS) (Date: 2007/01/12) * QuickBird 2,50 m - QB02_BGI_PM4_SO_20070729T125017_20070729T125021_USA_0_0000.TIFF (PS) (Date: 2007/07/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b49c21ce-3ce1-4f6a-b3ba-d52b6aa69a06	2005	2007	TRUE	Land use|Ponta Delgada|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32626_10_k_urban-atlas-pt007l_ponta_delgada_2005-2007	None	obsolete
c3c1ef53-3f4c-4e4c-bf99-22ae77f7c6b0	None	Urban Atlas - Luxembourg - Luxembourg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3c1ef53-3f4c-4e4c-bf99-22ae77f7c6b0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784005 (XS) (Date: 2006/07/19) * Spot 5 2,50 m - 00182784006 (XS) (Date: 2006/07/19) * Spot 5 2,50 m - 00182784007 (XS) (Date: 2005/05/28) * Spot 5 2,50 m - 00182793005 (P) (Date: 2006/07/19) * Spot 5 2,50 m - 00182793006 (P) (Date: 2006/07/19) * Spot 5 2,50 m - 00182793007 (P) (Date: 2005/05/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3c1ef53-3f4c-4e4c-bf99-22ae77f7c6b0	2005	2006	TRUE	Land use|Luxembourg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-lu001l_luxembourg_2005-2006	None	obsolete
497637ad-32cc-4541-9cdb-49bbc07a2d5d	None	Urban Atlas - Slovakia - Prešov	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/497637ad-32cc-4541-9cdb-49bbc07a2d5d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,5 m - 00186393007 (PS) (Date: 2007/07/21) * SPOT 5 2,5 m - 00186393009 (PS) (Date: 2007/11/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/497637ad-32cc-4541-9cdb-49bbc07a2d5d	2007	2007	FALSE	Land use|Prešov|Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-sk005l_presov_2007	None	obsolete
8b4c0f86-47b6-4196-bb87-8f60a97136d4	None	Urban Atlas - Germany - Halle (Halle (Saale))	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b4c0f86-47b6-4196-bb87-8f60a97136d4.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50572450509011015051B0 (P) (Date: 2005/09/01) * Spot 5 2,50 m - 50572450609151026022B0 (P) (Date: 2006/09/15) * Spot 5 2,50 m - 50572460609151026112B0 (P) (Date: 2006/09/15) * ALOS 10 m - AL_AV2_X_20070416_094347_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 10 m - AL_AV2_X_20070416_094355_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 10 m - AL_AV2_X_20070416_094403_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 2,50 m - AL_PSM_P_20070504_102625_DLR_6788_PRUTM (P) (Date: 2007/05/04)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b4c0f86-47b6-4196-bb87-8f60a97136d4	2005	2007	TRUE	Germany|Halle|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-de018l_halle_an_der_saale_2005-2007	None	obsolete
02978e1d-3c07-448d-9392-a48e614ad55f	None	Urban Atlas - Czech Republic - Pardubice	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02978e1d-3c07-448d-9392-a48e614ad55f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50652480609101022231B3 (PS) (Date: 2006/09/10) * Spot 5 2,50 m - 50662480708191022481B0 (PS) (Date: 2007/08/19) * Spot 5 2,50 m - 50662490609111003141B0 (PS) (Date: 2006/09/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02978e1d-3c07-448d-9392-a48e614ad55f	2006	2007	TRUE	Czechia|Land use|Pardubice	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz010l_pardubice_2006-2007	None	obsolete
f1142951-e179-4369-8d82-a95e8baf8efa	None	Urban Atlas - Germany - Berlin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1142951-e179-4369-8d82-a95e8baf8efa.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50572420504191012372B0 (Date: 2005/04/19) * Spot 5 2,50 m - 50572430509011014491B0 (Date: 2005/09/01) * Spot 5 2,50 m - 50572440509070959232B0 (Date: 2005/09/07) * Spot 5 2,50 m - 50582420609151025351B8 (Date: 2006/09/15) * Spot 5 2,50 m - 50582430508311034011B9 (Date: 2005/08/31) * Spot 5 2,50 m - 50582430605091006101B1 (Date: 2006/05/09) * Spot 5 2,50 m - 50582440508311034091B9 (Date: 2005/08/31) * Spot 5 2,50 m - 50612430607041029251B3 (Date: 2006/07/04) * Spot 5 2,50 m - 50622440609111002381B1 (Date: 2006/09/11) * ALOS 10 m - AL_AV2_X_20070330_094113_DLR_6277_PRUTM (Date: 2007/03/30) * ALOS 10 m - AL_AV2_X_20070330_094121_DLR_6277_PRUTM (Date: 2007/03/30) * ALOS 10 m - AL_AV2_X_20070330_094129_DLR_6277_PRUTM (Date: 2007/03/30) * ALOS 10 m - AL_AV2_X_20090614_101421_DLR_18049_PRUTM (Date: 2009/06/14) * ALOS 10 m - AL_AV2_X_20090614_101429_DLR_18049_PRUTM (Date: 2009/06/14) * ALOS 10 m - AL_AV2_X_20090816_101644_DLR_18968_PRUTM (Date: 2009/08/16) * ALOS 10 m - AL_AV2_X_20090816_101652_DLR_18968_PRUTM (Date: 2009/08/16) * ALOS 10 m - AL_AV2_X_20090816_101700_DLR_18968_PRUTM (Date: 2009/08/16) * ALOS 2,50 m - AL_PSM_P_20070331_102139_DLR_6292_PRUTM (Date: 2007/03/31) * ALOS 2,50 m - AL_PSM_P_20070609_101315_DLR_7313_PRUTM (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20070609_101319_DLR_7313_PRUTM (Date: 2007/06/09) * ALOS 2,50 m - AL_PSM_P_20080513_101225_DLR_12258_PRUTM (Date: 2008/05/13) * ALOS 2,50 m - AL_PSM_P_20080513_101229_DLR_12258_PRUTM (Date: 2008/05/13) * ALOS 2,50 m - AL_PSM_P_20080530_101404_DLR_12506_PRUTM (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080530_101408_DLR_12506_PRUTM (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080530_101412_DLR_12506_PRUTM (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080530_101416_DLR_12506_PRUTM (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080530_101420_DLR_12506_PRUTM (Date: 2008/05/30) * ALOS 2,50 m - AL_PSM_P_20080604_102024_DLR_12579_PRUTM (Date: 2008/06/04) * ALOS 2,50 m - AL_PSM_P_20080703_101816_DLR_13002_PRUTM (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20080703_101821_DLR_13002_PRUTM (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20080703_101825_DLR_13002_PRUTM (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20080703_101829_DLR_13002_PRUTM (Date: 2008/07/03) * ALOS 2,50 m - AL_PSM_P_20090417_101804_DLR_17203_PRUTM (Date: 2009/04/17) * ALOS 2,50 m - AL_PSM_P_20090417_101808_DLR_17203_PRUTM (Date: 2009/04/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1142951-e179-4369-8d82-a95e8baf8efa	2005	2009	TRUE	Berlin|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-de001l_berlin_2005-2009	None	obsolete
761a7ab4-a3bf-4a75-9949-9444b2f471e7	None	Urban Atlas - Italy - Foggia	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/761a7ab4-a3bf-4a75-9949-9444b2f471e7.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50722660506220943591B6 (PS) (Date: 2005/06/22)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/761a7ab4-a3bf-4a75-9949-9444b2f471e7	2005	2005	FALSE	Foggia|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it031l_foggia_2005	None	obsolete
82f43493-cb3e-4325-9f03-bc790cc0b77d	None	Urban Atlas - Italy - Sassari	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/82f43493-cb3e-4325-9f03-bc790cc0b77d.png	None	2019-06-04	None	None	land use|urban area	vector	Postgis	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50582670505251023252B0 (PS) (Date: 2005/05/25) * Spot 5 2,50 m - 50582680605291025071B0 (PS) (Date: 2006/05/29) * Spot 5 2,50 m - 50592680608311017342B0 (PS) (Date: 2006/08/31)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82f43493-cb3e-4325-9f03-bc790cc0b77d	2005	2006	TRUE	Italy|Land use|Sassari	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it026l_sassari_2005-2006	None	obsolete
57828ff9-6248-4d98-8838-539b8ce13d59	None	Urban Atlas - France - Caen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/57828ff9-6248-4d98-8838-539b8ce13d59.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50342501003091124472B5 (PS) (Date: 2010/03/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57828ff9-6248-4d98-8838-539b8ce13d59	2010	2010	FALSE	Caen|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-fr023l_caen_2010	None	obsolete
2f0453b1-a5c1-4b23-80e0-8afa93f9dbf4	None	Urban Atlas - Netherlands - The Hague (Den Haag)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f0453b1-a5c1-4b23-80e0-8afa93f9dbf4.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538039 (PS) (Date: 2006/09/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f0453b1-a5c1-4b23-80e0-8afa93f9dbf4	2006	2006	FALSE	Land use|Netherlands|The Hague	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl001l_s_gravenhage_2006	None	obsolete
4a500b22-5251-49a3-baba-f867e59184bc	None	Urban Atlas - Slovakia - Trenčín	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a500b22-5251-49a3-baba-f867e59184bc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50722510705131009112B0 (PS) (Date: 2007/05/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a500b22-5251-49a3-baba-f867e59184bc	2007	2007	FALSE	Land use|Slovakia|Trenčín	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-sk008l_trencin_2007	None	obsolete
be753bdc-acbe-485a-b052-bd968467ac88	None	Urban Atlas - United Kingdom - Manchester	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/be753bdc-acbe-485a-b052-bd968467ac88.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50252410609231112342J0 (XS) (Date: 2006/09/23) * Spot 5 10 m - 50262410605041143031J0 (XS) (Date: 2006/05/04) * Spot 5 10 m - 50262420705031141462J0 (XS) (Date: 2007/05/03) * Spot 5 10 m - 50252410609231112322B0 (P) (Date: 2006/09/23) * Spot 5 10 m - 50262410610291120092B0 (P) (Date: 2006/10/29) * Spot 5 10 m - 50262420605041143091B0 (P) (Date: 2006/05/04) * RapidEye 5 m - 2009-04-19T115033_RE4_3A-NAC_5662865_105749 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115036_RE4_3A-NAC_5662868_105749 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T121039_RE3_3A-NAC_5662326_105749 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T121042_RE3_3A-NAC_5662325_105749 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2010-04-21T121341_RE3_3A-NAC_5662867_105749 (XS) (Date: 2010/04/21) * RapidEye 5 m - 2010-04-21T121345_RE3_3A-NAC_5662866_105749 (XS) (Date: 2010/04/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/be753bdc-acbe-485a-b052-bd968467ac88	2006	2010	TRUE	Land use|Manchester|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk008l_manchester_2006-2010	None	obsolete
21c42add-5e28-44ae-9297-48ab81d505d4	None	Urban Atlas - Spain - Seville (Sevilla)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/21c42add-5e28-44ae-9297-48ab81d505d4.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182763001(XS) (Date: 2005/07/18) * Spot 5 2,50 m - 00182763002 (XS) (Date: 2007/08/22) * Spot 5 2,50 m - 00182763003 (XS) (Date: 2007/08/22) * Spot 5 2,50 m - 00182763004 (P) (Date: 2005/07/18) * Spot 5 2,50 m - 00182763005 (P) (Date: 2007/08/22) * Spot 5 2,50 m - 00182763006 (P) (Date: 2007/08/22)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/21c42add-5e28-44ae-9297-48ab81d505d4	2005	2007	TRUE	Land use|Seville|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es004l_sevilla_2005-2007	None	obsolete
08094a6b-5f5d-47fd-92d8-a3406c62f2f6	None	Urban Atlas - Spain - Vigo	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/08094a6b-5f5d-47fd-92d8-a3406c62f2f6.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070508_113324_DLR_6847_PREU (XS) (Date: 2007/05/08) * ALOS 2,50 m - AL_AV2_X_20070710_113529_DLR_7766_PREU (XS) (Date: 2007/07/10) * ALOS 2,50 m - AL_PSM_P_20070508_113319_DLR_6847_PREU (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113324_DLR_6847_PREU (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070623_113317_DLR_7518_PREU (P) (Date: 2007/06/23) * ALOS 2,50 m - AL_PSM_P_20070623_113321_DLR_7518_PREU (P) (Date: 2007/06/23) * ALOS 2,50 m - AL_PSM_P_20070623_113325_DLR_7518_PREU (P) (Date: 2007/06/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08094a6b-5f5d-47fd-92d8-a3406c62f2f6	2007	2007	FALSE	Land use|Spain|Vigo	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-es022l_vigo_2007	None	obsolete
43fe7e22-7683-4d15-b5e0-faec13730d99	None	Urban Atlas - Germany - Mönchengladbach	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/43fe7e22-7683-4d15-b5e0-faec13730d99.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538047 (PS) (Date: 2006/10/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43fe7e22-7683-4d15-b5e0-faec13730d99	2006	2006	FALSE	Germany|Land use|Mönchengladbach	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de036l_monchengladbach_2006	None	obsolete
420378d7-d90b-43f7-97f5-df175bf94a23	None	Urban Atlas - Germany - Frankfurt (Oder)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/420378d7-d90b-43f7-97f5-df175bf94a23.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50622440509230951181B0 (PS) (Date: 2005/09/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/420378d7-d90b-43f7-97f5-df175bf94a23	2005	2005	FALSE	Frankfurt (Oder)|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-de029l_frankfurt_oder_2005	None	obsolete
3895def6-370f-4d47-93f1-9a00929d7401	None	Urban Atlas - Slovakia - Trnava	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3895def6-370f-4d47-93f1-9a00929d7401.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50712520707201000371B0 (PS) (Date: 2007/07/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3895def6-370f-4d47-93f1-9a00929d7401	2007	2007	FALSE	Land use|Slovakia|Trnava	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-sk007l_trnava_2007	None	obsolete
5c710926-7b07-4340-8bab-2466ad145cf6	None	Urban Atlas - Spain - Valladolid	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5c710926-7b07-4340-8bab-2466ad145cf6.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00183756069 (PS) (Date: 2008/08/09) * SPOT 5 2,50 m - 00183756070 (PS) (Date: 2008/08/25) * SPOT 5 2,50 m - 00183756071 (PS) (Date: 2008/08/25) * SPOT 5 2,50 m - 00183538074 (PS) (Date: 2008/11/22)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5c710926-7b07-4340-8bab-2466ad145cf6	2008	2008	FALSE	Land use|Spain|Valladolid	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es009l_valladolid_2008	None	obsolete
f59bea00-c1fe-4d43-8f98-dd9e1eb5f9a1	None	Urban Atlas - Czech Republic - Liberec	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f59bea00-c1fe-4d43-8f98-dd9e1eb5f9a1.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00185800017 (PS) (Date: 2006/07/20) * Spot 5 2,50 m - 00185800021 (PS) (Date: 2007/09/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f59bea00-c1fe-4d43-8f98-dd9e1eb5f9a1	2006	2007	TRUE	Czechia|Land use|Liberec	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz007l_liberec_2006-2007	None	obsolete
5f49a730-cbff-48e2-8354-b7756cbac7fb	None	Urban Atlas - Austria - Salzburg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f49a730-cbff-48e2-8354-b7756cbac7fb.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50632531004081007412B0 (Date: 2010/04/08) * Spot 5 2,50 m - 50632541004081007492B0 (Date: 2010/04/08) * Spot 5 2,50 m - 50642541009120949302B0 (Date: 2010/09/12)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f49a730-cbff-48e2-8354-b7756cbac7fb	2010	2010	FALSE	Austria|Land use|Salzburg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-at004l_salzburg_2010	None	obsolete
b265bee7-b11b-45f8-9cb9-33b01b004628	None	Urban Atlas - Sweden - Umeå	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b265bee7-b11b-45f8-9cb9-33b01b004628.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - UMEA_1_50542160709281048552_0 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - UMEA_1_50542160709281048552_1 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - UMEA_2_50542170709281049032_0 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - UMEA_2_50542170709281049032_1 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - UMEA_3_50542180709281049112_0 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - UMEA_3_50542180709281049112_1 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - UMEA_4_50572170808311045012_0 (PS) (Date: 2008/08/31) * Spot 5 2,50 m - UMEA_4_50572170808311045012_1 (PS) (Date: 2008/08/31) * Spot 5 2,50 m - UMEA_5_50572180710091037292_0 (PS) (Date: 2007/10/09) * Spot 5 2,50 m - UMEA_5_50572180710091037292_1 (PS) (Date: 2007/10/09) * Spot 5 2,50 m - UMEA_6_50572190707031023451_0 (PS) (Date: 2007/07/03) * Spot 5 2,50 m - UMEA_6_50572190707031023451_1 (PS) (Date: 2007/07/03) * Spot 5 2,50 m - UMEA_7_50582170607311006441_0 (PS) (Date: 2006/07/31) * Spot 5 2,50 m - UMEA_7_50582170607311006441_1 (PS) (Date: 2006/07/31) * Spot 5 2,50 m - UMEA_8_50582180609091037492_0 (PS) (Date: 2006/09/09) * Spot 5 2,50 m - UMEA_8_50582180609091037492_1 (PS) (Date: 2006/09/09) * Spot 5 2,50 m - UMEA_9_50582190609091037572_0 (PS) (Date: 2006/09/09) * Spot 5 2,50 m - UMEA_9_50582190609091037572_1 (PS) (Date: 2006/09/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b265bee7-b11b-45f8-9cb9-33b01b004628	2006	2008	TRUE	Land use|Sweden|Umeå	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-se005l_umea_2006-2008	None	obsolete
275eb8bc-0cc2-47a7-a11b-c8cb15db92ae	None	Urban Atlas - Netherlands - Eindhoven	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/275eb8bc-0cc2-47a7-a11b-c8cb15db92ae.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538021 (PS) (Date: 2005/10/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/275eb8bc-0cc2-47a7-a11b-c8cb15db92ae	2005	2005	FALSE	Eindhoven|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl005l_eindhoven_2005	None	obsolete
fe1f7605-8f89-44b6-9a05-4440ac67b023	None	Urban Atlas - Romania - Călăraşi	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe1f7605-8f89-44b6-9a05-4440ac67b023.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50942610603260913461B0 (PS) (Date: 2006/03/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe1f7605-8f89-44b6-9a05-4440ac67b023	2006	2006	FALSE	Călăraşi|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro012l_calarasi_2006	None	obsolete
5b4aaed9-25bc-4d99-844a-0cbbc1584ad0	None	Urban Atlas - France - Tours	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b4aaed9-25bc-4d99-844a-0cbbc1584ad0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50372540908191106402B0 (PS) (Date: 2009/08/19) * Spot 5 2,50 m - 50372550906241042242B0 (PS) (Date: 2009/06/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b4aaed9-25bc-4d99-844a-0cbbc1584ad0	2009	2009	FALSE	France|Land use|Tours	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr035l_tours_2009	None	obsolete
20c72df2-9c8d-4441-87cb-2bc4c90ed929	None	Urban Atlas - Lithuania - Kaunas	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20c72df2-9c8d-4441-87cb-2bc4c90ed929.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800001 (PS) (Date: 2005/08/19) * Spot 5 2,50 m - 00182800005 (PS) (Date: 2005/10/09) * Spot 5 2,50 m - 00182800011 (PS) (Date: 2005/11/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20c72df2-9c8d-4441-87cb-2bc4c90ed929	2005	2005	FALSE	Kaunas|Land use|Lithuania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-lt002l_kaunas_2005	None	obsolete
ab430549-a49c-42b0-b17a-c48c9e1a13ae	None	Urban Atlas - Spain - Barcelona	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ab430549-a49c-42b0-b17a-c48c9e1a13ae.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182759001 (PS) (Date: 2007/05/21) * Spot 5 2,50 m - 00182759002 (PS) (Date: 2007/11/15) * Spot 5 2,50 m - 00182759003 (PS) (Date: 2006/05/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab430549-a49c-42b0-b17a-c48c9e1a13ae	2006	2007	TRUE	Barcelona|Land use|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-es002l_barcelona_2006-2007	None	obsolete
16bd8758-e76f-4dfc-bce6-097113e56080	None	Urban Atlas - France - Rouen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/16bd8758-e76f-4dfc-bce6-097113e56080.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50352490505271123082J3 (XS) (Date: 2005/05/27) * Spot 5 2,50 m - 50362500510041121141B0 (P) (Date: 2005/10/04) * ALOS 10 m - AL_AV2_X_20070328_113715_DLR_6249_PRUTM (XS) (Date: 2007/03/28) * ALOS 10 m - AL_AV2_X_20070328_113723_DLR_6249_PRUTM (XS) (Date: 2007/03/28) * ALOS 10 m - AL_AV2_X_20080704_105956_DLR_13017_PRUTM (XS) (Date: 2008/07/04) * ALOS 2,50 m - AL_PSM_P_20070603_110540_DLR_7226_PRUTM (P) (Date: 2007/06/03) * ALOS 2,50 m - AL_PSM_P_20080217_110143_DLR_11004_PRUTM (P) (Date: 2008/02/17) * ALOS 2,50 m - AL_PSM_P_20080217_110148_DLR_11004_PRUTM (P) (Date: 2008/02/17) * ALOS 2,50 m - AL_PSM_P_20080217_110152_DLR_11004_PRUTM (P) (Date: 2008/02/17) * ALOS 2,50 m - AL_PSM_P_20090406_110356_DLR_17043_PRUTM (P) (Date: 2009/04/06) * ALOS 2,50 m - AL_PSM_P_20090406_110400_DLR_17043_PRUTM (P) (Date: 2009/04/06) * ALOS 2,50 m - AL_PSM_P_20090406_110404_DLR_17043_PRUTM (P) (Date: 2009/04/06) * RapidEye 5 m - 2009-07-01T114645_RE1_3A-NAC_6211765_110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114646_RE1_3A-NAC_62117652110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114647_RE1_3A-NAC_6211748_110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114648_RE1_3A-NAC_6211758_110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114649_RE1_3A-NAC_6211761_110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114650_RE1_3A-NAC_6211757_110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114653_RE1_3A-NAC_6211759_110270 (XS) (Date: 2009/07/01) * RapidEye 5 m - 2009-07-01T114653_RE1_3A-NAC_6211760_110270 (XS) (Date: 2009/07/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16bd8758-e76f-4dfc-bce6-097113e56080	2005	2009	TRUE	France|Land use|Rouen	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr015l_rouen_2005-2009	None	obsolete
c379862f-cba9-4ea2-8cc1-723ead929f7b	None	Urban Atlas - Czech Republic - Carlsbad (Karlovy Vary)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c379862f-cba9-4ea2-8cc1-723ead929f7b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50602481004291003282B0 (PS) (Date: 2010/04/29) * Spot 5 2,50 m - 50602491004291003362B0 (PS) (Date: 2010/04/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c379862f-cba9-4ea2-8cc1-723ead929f7b	2010	2010	FALSE	Carlsbad|Czechia|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz013l_karlovyvary_2010	None	obsolete
ecac6966-a9f8-4293-a877-0e22f730fdb3	None	Urban Atlas - Poland - Gdańsk	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ecac6966-a9f8-4293-a877-0e22f730fdb3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394015 (PS) (Date: 2005/10/28) * Spot 5 2,50 m - 00186394026 (PS) (Date: 2006/07/05) * Spot 5 2,50 m - 00186394032 (PS) (Date: 2006/07/27) * Spot 5 2,50 m - 00186394040 (PS) (Date: 2007/07/15) * Spot 5 2,50 m - 00186394041 (PS) (Date: 2007/07/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ecac6966-a9f8-4293-a877-0e22f730fdb3	2005	2007	TRUE	Gdańsk|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl006l_gdansk_2005-2007	None	obsolete
717265bb-ad57-4a20-90f4-5cd456b99051	None	Urban Atlas - Germany - Hanover (Hannover)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/717265bb-ad57-4a20-90f4-5cd456b99051.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot5 2,50 m - 00183538003 (PS) (Date: 2005/06/15) * Spot5 2,50 m - 00183538015 (PS) (Date: 2005/09/04) * Spot5 2,50 m - 00183538016 (PS) (Date: 2005/09/04) * Spot5 2,50 m - 00183538041 (PS) (Date: 2006/09/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/717265bb-ad57-4a20-90f4-5cd456b99051	2005	2006	TRUE	Germany|Hanover|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de013l_hannover_2005-2006	None	obsolete
76d4a578-df79-403a-b0f2-3e22e87cb624	None	Urban Atlas - Romania - Craiova	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/76d4a578-df79-403a-b0f2-3e22e87cb624.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538057 (PS) (Date: 2007/07/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76d4a578-df79-403a-b0f2-3e22e87cb624	2007	2007	FALSE	Craiova|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-ro004l_craiova_2007	None	obsolete
879dd5f9-c2fb-42a1-88a8-43ebcb3ddb42	None	Urban Atlas - Spain - Vitoria-Gasteiz (Vitoria)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/879dd5f9-c2fb-42a1-88a8-43ebcb3ddb42.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50332630709281055472B5 (PS) (Date: 2007/09/28) * Spot 5 2,50 m - 50352630508131123501B7 (PS) (Date: 2005/08/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/879dd5f9-c2fb-42a1-88a8-43ebcb3ddb42	2005	2007	TRUE	Land use|Spain|Vitoria-Gasteiz	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es012l_vitoria_gasteiz_2005-2007	None	obsolete
7799c392-031d-4d89-89db-5c0bd1560ea5	None	Urban Atlas - Netherlands - Heerlen	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7799c392-031d-4d89-89db-5c0bd1560ea5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50452470508301054122B0 (PS) (Date: 2005/08/30)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7799c392-031d-4d89-89db-5c0bd1560ea5	2005	2005	FALSE	Heerlen|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl010l_heerlen_2005	None	obsolete
6e625bda-77c0-4149-b042-e885d7ef9ab5	None	Urban Atlas - Spain - Madrid	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e625bda-77c0-4149-b042-e885d7ef9ab5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182757001 (PS) (Date: 2005/04/26) * Spot 5 2,50 m - 00182757002 (PS) (Date: 2005/07/23) * Spot 5 2,50 m - 00182757003 (PS) (Date: 2005/07/24) * Spot 5 2,50 m - 00182757004 (PS) (Date: 2005/08/28) * Spot 5 2,50 m - 00182757005 (PS) (Date: 2005/08/30) * Spot 5 2,50 m - 00182757006 (PS) (Date: 2005/10/04) * Spot 5 2,50 m - 00182757007 (PS) (Date: 2006/08/07) * Spot 5 2,50 m - 00182757008 (PS) (Date: 2006/08/12) * Spot 5 2,50 m - 00182757009 (PS) (Date: 2006/08/12) * Spot 5 2,50 m - 00182757010 (PS) (Date: 2007/09/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e625bda-77c0-4149-b042-e885d7ef9ab5	2005	2007	TRUE	Land use|Madrid|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es001l_madrid_2005-2007	None	obsolete
ef25ad3a-98b5-431e-b8d9-e64af8fd1811	None	Urban Atlas - Austria - Innsbruck	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef25ad3a-98b5-431e-b8d9-e64af8fd1811.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 10 m - AL_AV2_X_20061027_102007_DLR_4031_PRUTM (XS) (Date: 2006/10/27) * ALOS 10 m - AL_AV2_X_20061027_102015_DLR_4031_PRUTM (XS) (Date: 2006/10/27) * ALOS 10 m - AL_AV2_X_20070713_101852_DLR_7809_PRUTM (XS) (Date: 2007/07/13) * ALOS 10 m - AL_AV2_X_20070713_101900_DLR_7809_PRUTM (XS) (Date: 2007/07/13) * ALOS 2,50 m - AL_PSM_P_20061010_101754_DLR_3783_PRUTM (P) (Date: 2006/10/10) * ALOS 2,50 m - AL_PSM_P_20061010_101758_DLR_3783_PRUTM (P) (Date: 2006/10/10) * ALOS 2,50 m - AL_PSM_P_20070713_101856_DLR_7809_PRUTM (P) (Date: 2007/07/13) * ALOS 2,50 m - AL_PSM_P_20070713_101900_DLR_7809_PRUTM (P) (Date: 2007/07/13) * RapidEye 5 m - 2009-07-27T105444_RE1_3A-NAC_5855407_107132 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-07-27T105447_RE1_3A-NAC_5855607_107132 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-07-27T105447_RE1_3A-NAC_5855247_107132 (XS) (Date: 2009/07/27) * RapidEye 5 m - 2009-08-19T105552_RE5_3A-NAC_5860705_107132 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-09-05T105249_RE3_3A-NAC_5859720_107132 (XS) (Date: 2009/09/05) * RapidEye 5 m - 2009-09-30T105635_RE4_3A-NAC_5859722_107132 (XS) (Date: 2009/09/30) * RapidEye 5 m - 2009-09-30T105639_RE4_3A-NAC_5859721_107132 (XS) (Date: 2009/09/30) * RapidEye 5 m - 2009-10-03T110148_RE2_3A-NAC_5855619_107132 (XS) (Date: 2009/10/03) * RapidEye 5 m - 2009-10-03T110151_RE2_3A-NAC_5855614_107132 (XS) (Date: 2009/10/03) * RapidEye 5 m - 2009-10-03T110155_RE2_3A-NAC_5855612_107132 (XS) (Date: 2009/1003) * RapidEye 5 m - 2011-02-14T052915_RE3_3A-NAC_5858303_107168 (XS) (Date: 2011/02/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef25ad3a-98b5-431e-b8d9-e64af8fd1811	2006	2011	TRUE	Austria|Innsbruck|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-at005l_innsbruck_2006-2011	None	obsolete
89061d59-0eba-48ac-9d36-21629fd859c0	None	Urban Atlas - Poland - Rzeszów	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89061d59-0eba-48ac-9d36-21629fd859c0.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 10 m - AL_AV2_X_20070613_093935_DLR_7371_PRUTM (XS) (Date: 2007/06/13) * ALOS 10 m - AL_AV2_X_20080903_094115_DLR_13906_PRUTM (XS) (Date: 2008/09/03) * ALOS 2,50 m - AL_PSM_P_20080517_093833_DLR_12316_PRUTM (P) (Date: 2008/05/17) * ALOS 2,50 m - AL_PSM_P_20080517_093838_DLR_12316_PRUTM (P) (Date: 2008/05/17) * RapidEye 5 m - 2009-07-23T102853_RE3_3A-NAC_5461097_104151 (XS) (Date: 2009/07/23) * RapidEye 5 m - 2009-07-23T102856_RE3_3A-NAC_5461096_104151 (XS) (Date: 2009/07/23) * RapidEye 5 m - 2009-07-23T102900_RE3_3A-NAC_5461095_104151 (XS) (Date: 2009/07/23) * RapidEye 5 m - 2009-08-21T101725_RE4_3A-NAC_5453191_104054 (XS) (Date: 2009/08/21) * RapidEye 5 m - 2009-08-21T101728_RE4_3A-NAC_5453192_104054 (XS) (Date: 2009/08/21) * RapidEye 5 m - 2009-08-21T101732_RE4_3A-NAC_5453194_104054 (XS) (Date: 2009/08/21) * RapidEye 5 m - 2009-08-21T101735_RE4_3A-NAC_5453193_104054 (XS) (Date: 2009/08/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89061d59-0eba-48ac-9d36-21629fd859c0	2007	2009	TRUE	Land use|Poland|Rzeszów	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl015l_rzeszow_2007-2009	None	obsolete
62275466-177f-4e7f-adf4-68c4df07c9d6	None	Urban Atlas - Hungary - Budapest	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62275466-177f-4e7f-adf4-68c4df07c9d6.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182793034 (P) (Date: 2007/07/16) * Spot 5 2,50 m - 00182793035 (P) (Date: 2007/07/31) * Spot 5 2,50 m - 00182793036 (P) (Date: 2007/10/01) * Spot 5 2,50 m - 00182793037 (P) (Date: 2007/07/31) * Spot 5 2,50 m - 00182784034 (XS) (Date: 2007/07/31) * Spot 5 2,50 m - 00182784035 (XS) (Date: 2006/09/28) * Spot 5 2,50 m - 00182784036 (XS) (Date: 2007/07/15) * Spot 5 2,50 m - 00182784037 (XS) (Date: 2008/08/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62275466-177f-4e7f-adf4-68c4df07c9d6	2006	2008	TRUE	Budapest|Hungary|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu001l_budapest_2006-2008	None	obsolete
29e73c67-fb9d-4e38-8306-e03dad6a5028	None	Urban Atlas - Spain - Cordova (Córdoba)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/29e73c67-fb9d-4e38-8306-e03dad6a5028.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183756068 (PS) (Date: 2008/06/18)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/29e73c67-fb9d-4e38-8306-e03dad6a5028	2008	2008	FALSE	Cordova|Land use|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es020l_cordoba_2008	None	obsolete
40e5d584-951a-4413-863d-2eb45f4e9e69	None	Urban Atlas - Netherlands - Enschede	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/40e5d584-951a-4413-863d-2eb45f4e9e69.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50452440607181100471B1 (Date: 2006/07/18) * Spot 5 2,50 m - 50462440505281102512B0 (Date: 2005/05/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/40e5d584-951a-4413-863d-2eb45f4e9e69	2005	2006	TRUE	Enschede|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-nl008l_enschede_2005-2006	None	obsolete
bd546d11-8845-4a71-b778-de1f25f91aaa	None	Urban Atlas - Portugal - Lisbon (Lisboa)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd546d11-8845-4a71-b778-de1f25f91aaa.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070722_113207_DLR_7941_PREU (MS) (Date: 2007/07/22) * ALOS 2,50 m - AL_AV2_X_20070808_113414_DLR_8189_PREU (MS) (Date: 2007/08/08) * ALOS 2,50 m - AL_PSM_P_20070508_113417_DLR_6847_PREU (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113421_DLR_6847_PREU (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070606_113208_DLR_7270_PREU (P) (Date: 2007/06/06) * ALOS 2,50 m - AL_PSM_P_20070606_113212_DLR_7270_PREU (P) (Date: 2007/06/06) * ALOS 2,50 m - AL_PSM_P_20070606_113216_DLR_7270_PREU (P) (Date: 2007/06/06) * ALOS 2,50 m - AL_PSM_P_20070722_113203_DLR_7941_PREU (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20070722_113207_DLR_7941_PREU (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20070722_113212_DLR_7941_PREU (P) (Date: 2007/07/22)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd546d11-8845-4a71-b778-de1f25f91aaa	2007	2007	FALSE	Land use|Lisbon|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt001l_lisboa_2007	None	obsolete
3f0bd861-7b9b-49e3-a30e-6fefb9a2c426	None	Urban Atlas - Poland - Białystok	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f0bd861-7b9b-49e3-a30e-6fefb9a2c426.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394002 (PS) (Date: 2005/08/19) * Spot 5 2,50 m - 00186394013 (PS) (Date: 2005/10/08) * Spot 5 2,50 m - 00186394016 (PS) (Date: 2005/10/29) * Spot 5 2,50 m - 00186394017 (PS) (Date: 2005/10/29) * Spot 5 2,50 m - 00186394018 (PS) (Date: 2005/10/31) * Spot 5 2,50 m - 00186394027 (PS) (Date: 2006/07/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f0bd861-7b9b-49e3-a30e-6fefb9a2c426	2005	2006	TRUE	Białystok|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl011l_bialystok_2005-2006	None	obsolete
5656fe05-4d08-48ef-afde-4004fe400b75	None	Urban Atlas - Italy - Genoa (Genova)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5656fe05-4d08-48ef-afde-4004fe400b75.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50562600610271020231B0 (P) (Date: 2006/10/27) * Spot 5 2,50 m - 50572600606241024061B8 (P) (Date: 2006/06/24) * Spot 5 2,50 m - 50582600505261003071B6 (P) (Date: 2005/05/26) * ALOS 10 m - AL_AV2_X_20070718_102607_DLR_7882_PRUTM (XS) (Date: 2007/07/18) * ALOS 2,50 m - AL_PSM_P_20070701_102400_DLR_7634_PRUTM (P) (Date: 2007/07/01) * ALOS 2,50 m - AL_PSM_P_20070701_102404_DLR_7634_PRUTM (P) (Date: 2007/07/01) * ALOS 2,50 m - AL_PSM_P_20070718_102607_DLR_7882_PRUTM (P) (Date: 2007/07/18) * ALOS 2,50 m - AL_PSM_P_20070718_102611_DLR_7882_PRUTM (P) (Date: 2007/07/18)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5656fe05-4d08-48ef-afde-4004fe400b75	2005	2007	TRUE	Genoa|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it006l_genova_2005-2007	None	obsolete
c054bcbe-6ff0-4f5d-95a0-8b9d8fc1c075	None	Urban Atlas - Romania - Arad	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c054bcbe-6ff0-4f5d-95a0-8b9d8fc1c075.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50812570604090944241B0 (PS) (Date: 2006/04/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c054bcbe-6ff0-4f5d-95a0-8b9d8fc1c075	2006	2006	FALSE	Arad|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-ro008l_arad_2006	None	obsolete
506c6ccb-dd41-41cf-a13d-d3b32d42b1b9	None	Urban Atlas - Germany - Kiel	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/506c6ccb-dd41-41cf-a13d-d3b32d42b1b9.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50492390506151015372J6 (XS) (Date: 2005/06/15) * Spot 5 10 m - 50492390509061018131J2 (XS) (Date: 2005/09/06) * Spot 5 10 m - 50502390607041029092J7 (XS) (Date: 2006/07/04) * ALOS 2,50 m - AL_PSM_P_20090317_103638_DLR_16751_PRUTM (P) (Date: 2009/03/17) * ALOS 2,50 m - AL_PSM_P_20090317_103642_DLR_16751_PRUTM (P) (Date: 2009/03/17) * ALOS 2,50 m - AL_PSM_P_20090317_103646_DLR_16751_PRUTM (P) (Date: 2009/03/17) * ALOS 2,50 m - AL_PSM_P_20090502_103701_DLR_17422_PRUTM (P) (Date: 2009/05/02) * ALOS 2,50 m - AL_PSM_P_20090502_103705_DLR_17422_PRUTM (P) (Date: 2009/05/02) * ALOS 2,50 m - AL_PSM_P_20090502_103709_DLR_17422_PRUTM (P) (Date: 2009/05/02) * ALOS 2,50 m - AL_PSM_P_20090531_103510_DLR_17845_PRUTM (P) (Date: 2009/05/31) * ALOS 2,50 m - AL_PSM_P_20090531_103514_DLR_17845_PRUTM (P) (Date: 2009/05/31)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/506c6ccb-dd41-41cf-a13d-d3b32d42b1b9	2005	2009	TRUE	Germany|Kiel|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_50_k_urban-atlas-de039l_kiel_2005-2009	None	obsolete
0d2d06e8-9362-4db6-91e5-bbbd81578ce1	None	Urban Atlas - Denmark - Aarhus (Århus)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d2d06e8-9362-4db6-91e5-bbbd81578ce1.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50462341006271107352B8 (Date: 2010/06/27) * Spot 5 2,50 m - 50462351004101107152B8 (Date: 2010/04/10) * Spot 5 2,50 m - 50492351004131009242B0 (Date: 2010/04/13) * Spot 5 2,50 m - 50492361010101049042B0 (Date: 2010/10/10) * Spot 5 2,50 m - 50502341004161051432B2 (Date: 2010/04/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d2d06e8-9362-4db6-91e5-bbbd81578ce1	2010	2010	FALSE	Aarhus|Denmark|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-dk002l_aarhus_2010	None	obsolete
f13425df-52f2-4190-bb9a-7501babd5964	None	Urban Atlas - Italy - Perugia	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f13425df-52f2-4190-bb9a-7501babd5964.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50652630504301003411B0 (P) (Date: 2005/04/30) * ALOS 2,50 m - AL_AV2_X_20080623_100801_DLR_12856_PRUTM (XS) (Date: 2008/06/23) * ALOS 2,50 m - AL_PSM_P_20070621_101132_DLR_7488_PRUTM (P) (Date: 2007/06/21) * ALOS 2,50 m - AL_PSM_P_20080508_100836_DLR_12185_PRUTM (P) (Date: 2008/05/08) * ALOS 2,50 m - AL_PSM_P_20080508_100840_DLR_12185_PRUTM (P) (Date: 2008/05/08) * ALOS 2,50 m - AL_PSM_P_20090511_101220_DLR_17553_PRUTM (P) (Date: 2009/05/11) * ALOS 2,50 m - AL_PSM_P_20090511_101224_DLR_17553_PRUTM (P) (Date: 2009/05/11) * ALOS 2,50 m - AL_PSM_P_20090511_101228_DLR_17553_PRUTM (P) (Date: 2009/05/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f13425df-52f2-4190-bb9a-7501babd5964	2005	2009	TRUE	Italy|Land use|Perugia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it016l_perugia_2005-2009	None	obsolete
bf402a99-ea38-438e-b5f4-b8a92936c04a	None	Urban Atlas - Ireland - Dublin	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf402a99-ea38-438e-b5f4-b8a92936c04a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50172400604281158352J8 (XS) (Date: 2006/04/28) * Spot 5 10 m - 50172400909111203312J1 (XS) (Date: 2009/09/11) * Spot 5 10 m - 50172410607161139391J0 (XS) (Date: 2006/07/16) * Spot 5 10 m - 50172410911201118432J1 (XS) (Date: 2009/11/20) * Spot 5 10 m - 50172411001301154332J8 (XS) (Date: 2010/01/30) * Spot 5 10 m - 50172420607161139471J0 (XS) (Date: 2006/07/16) * Spot 5 10 m - 50172430909121144402J4 (XS) (Date: 2009/09/12) * Spot 5 10 m - 50182410609161147252J6 (XS) (Date: 2006/09/16) * Spot 5 10 m - 50182410909121144232J4 (XS) (Date: 2009/09/12) * Spot 5 10 m - 50182420606091151131J2 (XS) (Date: 2006/06/09) * Spot 5 10 m - 50182420609161147332J6 (XS) (Date: 2006/09/16) * Spot 5 10 m - 50182420909121144312J4 (XS) (Date: 2009/09/12) * Spot 5 10 m - 50182430606091151211J0 (XS) (Date: 2006/06/09) * Spot 5 10 m - 50182431001311135302J0 (XS) (Date: 2010/01/31) * Spot 5 2,50 m - 50172400706071208022B7 (XS) (Date: 2007/06/07) * Spot 5 2,50 m - 50172400909111203282B1 (P) (Date: 2009/09/11) * Spot 5 2,50 m - 50172410706071208112B7 (P) (Date: 2007/06/07) * Spot 5 2,50 m - 50172410911201118402B1 (P) (Date: 2009/11/20) * Spot 5 2,50 m - 50172411001301154312B8 (P) (Date: 2010/01/30) * Spot 5 2,50 m - 50172430909121144372B4 (P) (Date: 2009/09/12) * Spot 5 2,50 m - 50182410609161147232B8 (P) (Date: 2006/09/16) * Spot 5 2,50 m - 50182410909121144212B4 (P) (Date: 2009/09/12) * Spot 5 2,50 m - 50182420606091151101B7 (P) (Date: 2006/06/09) * Spot 5 2,50 m - 50182420909121144292B4 (P) (Date: 2009/09/12) * Spot 5 2,50 m - 50182431001311135272B0 (P) (Date: 2010/01/31) * ALOS 10 m - AL_AV2_X_20080318_113854_DLR_11442_PRUTM (XS) (Date: 2008/03/18) * ALOS 10 m - AL_AV2_X_20080503_113757_DLR_12113_PRUTM (XS) (Date: 2008/05/03) * ALOS 10 m - AL_AV2_X_20080503_113814_DLR_12113_PRUTM (XS) (Date: 2008/05/03) * ALOS 10 m - AL_AV2_X_20081103_113921_DLR_14797_PRUTM (XS) (Date: 2008/11/03) * ALOS 10 m - AL_AV2_X_20081103_113929_DLR_14797_PRUTM (XS) (Date: 2008/11/03) * ALOS 10 m - AL_AV2_X_20090122_114454_DLR_15964_PRUTM (XS) (Date: 2009/01/22) * ALOS 10 m - AL_AV2_X_20090419_113929_DLR_17233_PRUTM (XS) (Date: 2009/04/19) * ALOS 10 m - AL_AV2_X_20090419_113937_DLR_17233_PRUTM (XS) (Date: 2009/04/19) * ALOS 2,50 m - AL_PSM_P_20090402_113717_DLR_16985_PRUTM (P) (Date: 2009/04/02) * ALOS 2,50 m - AL_PSM_P_20090402_113721_DLR_16985_PRUTM (P) (Date: 2009/04/02) * ALOS 2,50 m - AL_PSM_P_20090402_113725_DLR_16985_PRUTM (P) (Date: 2009/04/02) * ALOS 2,50 m - AL_PSM_P_20090419_113929_DLR_17233_PRUTM (P) (Date: 2009/04/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf402a99-ea38-438e-b5f4-b8a92936c04a	2006	2010	TRUE	Dublin|Ireland|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-ie001l_dublin_2006-2010	None	obsolete
adfbdc13-06c8-4a34-83f7-eb20ad75b674	None	Urban Atlas - Bulgaria - Sofia (София)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/adfbdc13-06c8-4a34-83f7-eb20ad75b674.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50872630907180941132B5 (PS) (Date: 2009/07/18) * Spot 5 2,50 m - 50872630907200902442B0 (PS) (Date: 2009/07/20) * Spot 5 2,50 m - 50872640907200902522B0 (PS) (Date: 2009/07/20) * Spot 5 2,50 m - 50892640910150931392B0 (PS) (Date: 2009/10/15) * Spot 5 2,50 m - 50892640911050928092B0 (PS) (Date: 2009/11/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/adfbdc13-06c8-4a34-83f7-eb20ad75b674	2009	2009	FALSE	Bulgaria|Land use|Sofia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-bg001l_sofia_2009	None	obsolete
a162163a-ef25-4e6f-ad89-8145a15dbce2	None	Urban Atlas - Portugal - Porto	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a162163a-ef25-4e6f-ad89-8145a15dbce2.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50242670505261145071B8 (P) (Date: 2005/05/26) * ALOS 10 m - AL_AV2_X_20070508_113340_DLR_6847_PRUTM (X) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113336_DLR_6847_PRUTM (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20070508_113340_DLR_6847_PRUTM (P) (Date: 2007/05/08) * ALOS 2,50 m - AL_PSM_P_20090426_113218_DLR_17335_PRUTM (P) (Date: 2009/04/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a162163a-ef25-4e6f-ad89-8145a15dbce2	2005	2009	TRUE	Land use|Porto|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt002l_oporto_2005-2009	None	obsolete
b55ec5eb-a318-4ddb-aec8-e498a9bcb71c	None	Urban Atlas - Sweden - Malmö	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b55ec5eb-a318-4ddb-aec8-e498a9bcb71c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538042 (PS) (Date: 2006/09/21) * Spot 5 2,50 m - 00183756043 (PS) (Date: 2006/09/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b55ec5eb-a318-4ddb-aec8-e498a9bcb71c	2006	2006	FALSE	Land use|Malmö|Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_50_k_urban-atlas-se003l_malmo_2006	None	obsolete
77cc3ca7-f226-40e4-b4c6-9a484e76f407	None	Urban Atlas - Sweden - Uppsala	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/77cc3ca7-f226-40e4-b4c6-9a484e76f407.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50572261005150952552B0 (Date: 2010/05/15) * Spot 5 2,50 m - 50572271005150953032B0 (Date: 2010/05/15) * Spot 5 2,50 m - 50582261010011020332B0 (Date: 2010/10/01) * Spot 5 2,50 m - 50582270906241038042B0 (Date: 2009/06/24) * Spot 5 2,50 m - 50582280906241038122B0 (Date: 2009/06/24) * Spot 5 2,50 m - 50612271006050949122B0 (Date: 2010/06/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/77cc3ca7-f226-40e4-b4c6-9a484e76f407	2009	2010	TRUE	Land use|Sweden|Uppsala	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-se006l_uppsala_2009-2010	None	obsolete
89f85543-f3f3-4229-a740-d19a2b68b0fc	None	Urban Atlas - United Kingdom - Edinburgh	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89f85543-f3f3-4229-a740-d19a2b68b0fc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50212360911081148352B0 (PS) (Date: 2009/11/08) * Spot 5 2,50 m - 50222360909121143332B2 (PS) (Date: 2009/09/12)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89f85543-f3f3-4229-a740-d19a2b68b0fc	2009	2009	FALSE	Edinburgh|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk007l_edinburgh_2009	None	obsolete
1a568458-d27b-47ce-8c45-ce5ea2c300e1	None	Urban Atlas - United Kingdom - Leicester	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1a568458-d27b-47ce-8c45-ce5ea2c300e1.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50292430609171128082B2 (PS) (Date: 2006/10/29) * Spot 5 2,50 m - 50302430610291120201B8 (PS) (Date: 2006/11/19) * Spot 5 2,50 m - 50302430611191116222B1 (PS) (Date: 2006/09/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1a568458-d27b-47ce-8c45-ce5ea2c300e1	2006	2006	FALSE	Land use|Leicester|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk014l_leicester_2006	None	obsolete
0c5acb58-e547-430c-ba91-cf3c1d0d4e24	None	Urban Atlas - Poland - Toruń	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c5acb58-e547-430c-ba91-cf3c1d0d4e24.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,5 m - 00186394003 (PS) (Date: 2005/09/02) * SPOT 5 2,5 m - 00186394004 (PS) (Date: 2005/09/02) * SPOT 5 2,5 m - 00186394005 (PS) (Date: 2005/09/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c5acb58-e547-430c-ba91-cf3c1d0d4e24	2005	2005	FALSE	Land use|Poland|Toruń	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl013l_torun_2005	None	obsolete
20215ecc-a89f-4c93-9096-bbb3e9b5fcf7	None	Urban Atlas - Denmark - Copenhagen (København)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20215ecc-a89f-4c93-9096-bbb3e9b5fcf7.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182781001(P) (Date: 2006/07/20) * Spot 5 2,50 m - 00182781002(P) (Date: 2006/09/14) * Spot 5 2,50 m - 00182781003(P) (Date: 2006/09/25) * Spot 5 2,50 m - 00182781004(P) (Date: 2006/09/25) * Spot 5 2,50 m - 00182781005(XS) (Date: 2006/07/20) * Spot 5 2,50 m - 00182781006(XS) (Date: 2006/09/14) * Spot 5 2,50 m - 00182781007(XS) (Date: 2006/09/25) * Spot 5 2,50 m - 00182781008(XS) (Date: 2006/09/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20215ecc-a89f-4c93-9096-bbb3e9b5fcf7	2006	2006	FALSE	Copenhagen|Denmark|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-dk001l_kobenhavn_2006	None	obsolete
a6d8ffee-1d34-4da7-b90d-b7501b987c85	None	Urban Atlas - Portugal - Setúbal	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a6d8ffee-1d34-4da7-b90d-b7501b987c85.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070722_113207_DLR_7941_PREU (XS) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20090611_113321_DLR_18006_PREU (P) (Date: 2009/06/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a6d8ffee-1d34-4da7-b90d-b7501b987c85	2007	2009	TRUE	Land use|Portugal|Setúbal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt006l_setubal_2007-2009	None	obsolete
0f9a88ab-f3cd-42e7-a96a-62de9e6fc4eb	None	Urban Atlas - Spain - Toledo	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f9a88ab-f3cd-42e7-a96a-62de9e6fc4eb.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50322700709061120191B0 (PS) (Date: 2007/09/06) * Spot 5 2,50 m - 50332700507291113292B0 (PS) (Date: 2005/07/29) * Spot 5 2,50 m - 50332710506281110191B0 (PS) (Date: 2005/06/28) * Spot 5 2,50 m - 50352700506171121522B7 (PS) (Date: 2005/06/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f9a88ab-f3cd-42e7-a96a-62de9e6fc4eb	2005	2007	TRUE	Land use|Spain|Toledo	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es016l_toledo_2005-2007	None	obsolete
3b02048f-238f-4e97-a84e-e652c28b8f7f	None	Urban Atlas - Bulgaria - Varna (Варна)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b02048f-238f-4e97-a84e-e652c28b8f7f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070704_090917_DLR_7677_PRUTM (XS) (Date: 2007/07/04) * ALOS 2,50 m - AL_PSM_P_20070704_090913_DLR_7677_PRUTM (P) (Date: 2007/07/04) * ALOS 2,50 m - AL_PSM_P_20070704_090917_DLR_7677_PRUTM (P) (Date: 2007/07/04) * ALOS 2,50 m - AL_PSM_P_20080521_090604_DLR_12374_PRUTM (P) (Date: 2008/05/21) * ALOS 2,50 m - AL_PSM_P_20080521_090609_DLR_12374_PRUTM (P) (Date: 2008/05/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b02048f-238f-4e97-a84e-e652c28b8f7f	2007	2008	TRUE	Bulgaria|Land use|Varna	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-bg003l_varna_2007-2008	None	obsolete
13b285f9-fc92-47a4-b15e-a4cc6c247b81	None	Urban Atlas - Germany - Leipzig	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13b285f9-fc92-47a4-b15e-a4cc6c247b81.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50572450609151026022B0 (P) (Date: 2006/09/15) * Spot 5 2,50 m - 50572460609151026112B0 (P) (Date: 2006/09/15) * Spot 5 2,50 m - 50582450505291043231B4 (P) (Date: 2005/05/29) * Spot 5 2,50 m - 50592460505291043311B4 (P) (Date: 2005/05/29) * ALOS 2,50 m - AL_AV2_X_20070416_094347_DLR_6525_PRUTM (XS) (Date: 2007/04/16) * ALOS 2,50 m - AL_AV2_X_20070416_094355_DLR_6525_PRUTM (XS) (Date: 2007/04/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13b285f9-fc92-47a4-b15e-a4cc6c247b81	2005	2007	TRUE	Germany|Land use|Leipzig	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-de008l_leipzig_2005-2007	None	obsolete
57039bb1-090a-4102-9730-94378a7c40f9	None	Urban Atlas - Italy - Florence (Firenze)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/57039bb1-090a-4102-9730-94378a7c40f9.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538032 (PS) (Date: 2006/07/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/57039bb1-090a-4102-9730-94378a7c40f9	2006	2006	FALSE	Florence|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it007l_firenze_2006	None	obsolete
9bfe20f0-aff1-44c7-b160-47f230ed1cef	None	Urban Atlas - France - Marseille	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9bfe20f0-aff1-44c7-b160-47f230ed1cef.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070315_110240_DLR_6059_PREU (XS) (Date: 2007/03/15) * ALOS 2,50 m - AL_PSM_P_20070312_103924_DLR_6015_PREU (P) (Date: 2007/03/12) * ALOS 2,50 m - AL_PSM_P_20070728_103918_DLR_8028_PREU (P) (Date: 2207/07/28) * ALOS 2,50 m - AL_PSM_P_20070728_103923_DLR_8028_PREU (P) (Date: 2007/07/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9bfe20f0-aff1-44c7-b160-47f230ed1cef	2007	2207	TRUE	France|Land use|Marseille	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr203c_marseille_2007-2207	None	obsolete
0c54b5b0-757a-4bc7-8f17-683d9630a894	None	Urban Atlas - Romania - Târgu Mureş	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c54b5b0-757a-4bc7-8f17-683d9630a894.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50872560604300940171B0 (PS) (Date: 2006/04/30)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c54b5b0-757a-4bc7-8f17-683d9630a894	2006	2006	FALSE	Land use|Romania|Târgu Mureş	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro010l_targu_mures_2006	None	obsolete
6c4bcbda-3c00-43b3-b974-7cc9273f7b68	None	Urban Atlas - Italy - Catanzaro	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c4bcbda-3c00-43b3-b974-7cc9273f7b68.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50762710507180944081B1 (PS) (Date: 2005/07/18) * Spot 5 2,50 m - 50762720505110953002B0 (PS) (Date: 2005/05/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c4bcbda-3c00-43b3-b974-7cc9273f7b68	2005	2005	FALSE	Catanzaro|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it024l_catanzaro_2005	None	obsolete
5d5378f6-14be-490d-a923-093f0aa1fcd9	None	Urban Atlas - Italy - Trieste	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d5378f6-14be-490d-a923-093f0aa1fcd9.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00186393004 (PS) (Date: 2006/09/06)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d5378f6-14be-490d-a923-093f0aa1fcd9	2006	2006	FALSE	Italy|Land use|Trieste	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it015l_trieste_2006	None	obsolete
9bdfe364-f8cf-4325-bd28-97f5bfe212fc	None	Urban Atlas - Greece - Kavala (Καβάλα)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9bdfe364-f8cf-4325-bd28-97f5bfe212fc.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50912670608180926292B1 (PS) (Date: 2006/08/18) * Spot 5 2,50 m - 50912680607240907221B0 (PS) (Date: 2006/07/24)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9bdfe364-f8cf-4325-bd28-97f5bfe212fc	2006	2006	FALSE	Greece|Kavala|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-gr008l_kavala_2006	None	obsolete
0602e44f-c6d2-4423-b859-94626017832b	None	Urban Atlas - Italy - Palermo	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0602e44f-c6d2-4423-b859-94626017832b.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00183538012 (PS) (Date: 2005/08/27) * SPOT 5 2,50 m - 00183538013 (PS) (Date: 2005/08/27) * SPOT 5 2,50 m - 00183538027 (PS) (Date: 2005/10/29) * SPOT 5 2,50 m - 00183538051 (PS) (Date: 2006/10/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0602e44f-c6d2-4423-b859-94626017832b	2005	2006	TRUE	Italy|Land use|Palermo	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it005l_palermo_2005-2006	None	obsolete
d5914df6-bdb0-47da-8390-a75eaf340d26	None	Urban Atlas - Italy - Bari	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d5914df6-bdb0-47da-8390-a75eaf340d26.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070520_095041_DLR_7021_PRIT (XS) (Date: 2007/05/20) * ALOS 2,50 m - AL_PSM_P_20070520_095041_DLR_7021_PRIT (P) (Date: 2007/05/20) * ALOS 2,50 m - AL_PSM_P_20070520_095045_DLR_7021_PRIT(P) (Date: 2007/05/20) * ALOS 2,50 m - AL_PSM_P_20070705_095036_DLR_7692_PRIT (P) (Date: 2007/05/20) * ALOS 2,50 m - AL_PSM_P_20070705_095040_DLR_7692_PRIT (P) (Date: 2007/05/20) * ALOS 2,50 m - AL_PSM_P_20090611_095352_DLR_18005_PRUTM (P) (Date: 2009/06/11) * ALOS 2,50 m - AL_PSM_P_20090611_095356_DLR_18005_PRUTM (P) (Date: 2009/06/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d5914df6-bdb0-47da-8390-a75eaf340d26	2007	2009	TRUE	Bari|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it008l_bari_2007-2009	None	obsolete
61183969-e6e9-4506-ac11-3acc725e24ea	None	Urban Atlas - Germany - Düsseldorf	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61183969-e6e9-4506-ac11-3acc725e24ea.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50462460610161030181B1 (PS) (Date: 2006/10/16) * Spot 5 2,50 m - 50482460607141037521B0 (PS) (Date: 2006/07/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61183969-e6e9-4506-ac11-3acc725e24ea	2006	2006	FALSE	Düsseldorf|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de011l_dusseldorf_2006	None	obsolete
226670f4-0acc-45bb-a3f0-b315dfe2973f	None	Urban Atlas - Italy - Cremona	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/226670f4-0acc-45bb-a3f0-b315dfe2973f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50582590505261002591B0 (PS) (Date: 2005/05/26)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/226670f4-0acc-45bb-a3f0-b315dfe2973f	2005	2005	FALSE	Cremona|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it013l_cremona_2005	None	obsolete
848d5e35-4f07-4c39-a25e-03f2bef63d78	None	Urban Atlas - Slovenia - Ljubljana	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/848d5e35-4f07-4c39-a25e-03f2bef63d78.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784020 (XS) (Date: 2006/10/27) * Spot 5 2,50 m - 00182784021 (XS) (Date: 2007/08/05) * Spot 5 2,50 m - 00182784023 (XS) (Date: 2007/10/01) * Spot 5 2,50 m - 00182784024 (XS) (Date: 2007/07/19) * Spot 5 2,50 m - 00182793019 (P) (Date: 2006/10/27) * Spot 5 2,50 m - 00182793020 (P) (Date: 2007/08/05) * Spot 5 2,50 m - 00182793022 (P) (Date: 2007/10/01) * Spot 5 2,50 m - 00182793023 (P) (Date: 2007/07/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/848d5e35-4f07-4c39-a25e-03f2bef63d78	2006	2007	TRUE	Land use|Ljubljana|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-si001l_ljubljana_2006-2007	None	obsolete
c5936456-99bb-4b68-afa8-4ddcfd98cc21	None	Urban Atlas - United Kingdom - Newcastle upon Tyne	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c5936456-99bb-4b68-afa8-4ddcfd98cc21.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50222370611091108021B1 (PS) (Date: 2006/11/09) * Spot 5 2,50 m - 50252380609171127331B0 (PS) (Date: 2006/09/17) * Spot 5 2,50 m - 50252380610231135131B0 (PS) (Date: 2006/10/23) * Spot 5 2,50 m - 50252380910041121122B0 (PS) (Date: 2009/10/04) * RapidEye 5 m - 2009-04-20T121022_RE4_3A-NAC_5662947_105753 (XS) (Date: 2009/04/20) * RapidEye 5 m - 2009-04-20T121023_RE4_3A-NAC_5662946_105753 (XS) (Date: 2009/04/20) * RapidEye 5 m - 2009-04-20T121026_RE4_3A-NAC_5662948_105753 (XS) (Date: 2009/04/20) * RapidEye 5 m - 2009-04-20T121027_RE4_3A-NAC_5662949_105753 (XS) (Date: 2009/04/20) * RapidEye 5 m - 2009-05-29T120931_RE5_3A-NAC_5663795_105755 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T120932_RE5_3A-NAC_5664299_105753 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T120934_RE5_3A-NAC_5663792_105755 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T120935_RE5_3A-NAC_5663742_105755 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T120937_RE5_3A-NAC_5663793_105755 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-05-29T120938_RE5_3A-NAC_5663794_105755 (XS) (Date: 2009/05/29) * RapidEye 5 m - 2009-09-26T121035_RE1_3A-NAC_5662951_105755 (XS) (Date: 2009/09/26) * RapidEye 5 m - 2009-09-26T121042_RE1_3A-NAC_5662952_105755 (XS) (Date: 2009/09/26) * RapidEye 5 m - 2009-09-26T121043_RE1_3A-NAC_5662869_105753 (XS) (Date: 2009/09/26) * RapidEye 5 m - 2009-09-26T121045_RE1_3A-NAC_5662950_105755 (XS) (Date: 2009/09/26) * RapidEye 5 m - 2010-03-19T120019_RE4_3A-NAC_5663603_105755 (XS) (Date: 2010/03/19) * RapidEye 5 m - 2010-06-04T121608_RE4_3A-NAC_5663741_105755 (XS) (Date: 2010/06/04) * RapidEye 5 m - 2010-08-15T120825_RE5_3A-NAC_5663603_105755 (XS) (Date: 2010/08/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c5936456-99bb-4b68-afa8-4ddcfd98cc21	2006	2010	TRUE	Land use|Newcastle upon Tyne|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk013l_newcastle_upon_tyne_2006-2010	None	obsolete
42e2dfe1-5017-4056-a1b0-4606dd78cac5	None	Urban Atlas - Poland - Kraków	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/42e2dfe1-5017-4056-a1b0-4606dd78cac5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,5 m - 00185800027 (PS) (Date: 2006/07/17) * SPOT 5 2,5 m - 00185800028 (PS) (Date: 2007/08/06) * SPOT 5 2,5 m - 00185800030 (PS) (Date: 2008/08/20) * SPOT 5 2,5 m - 00185800032 (PS) (Date: 2007/10/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/42e2dfe1-5017-4056-a1b0-4606dd78cac5	2006	2008	TRUE	Kraków|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl003l_krakow_2006-2008	None	obsolete
39e116e0-5b8c-48c5-a2d6-3c6dfcb020a3	None	Urban Atlas - Finland - Helsinki	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/39e116e0-5b8c-48c5-a2d6-3c6dfcb020a3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * AL_AV2_X_20070404_094520_DLR_6350_PRUTM (XS) - AL_AV2_X_20090628_095039_DLR_18253_PRUTM (XS) (Date: 2009/06/28) * AL_AV2_X_20070404_094520_DLR_6350_PRUTM (XS) - AL_AV2_X_20090628_095047_DLR_18253_PRUTM (XS) (Date: 2009/06/28) * ALOS 2,50 m - AL_PSM_P_20070623_094926_DLR_7517_PRUTM (P) (Date: 2007/06/23) * ALOS 2,50 m - AL_PSM_P_20070623_094930_DLR_7517_PRUTM (P) (Date: 2007/06/23) * ALOS 2,50 m - AL_PSM_P_20070623_094934_DLR_7517_PRUTM (P) (Date: 2007/06/23) * ALOS 2,50 m - AL_PSM_P_20070623_094939_DLR_7517_PRUTM (P) (Date: 2007/06/23) * ALOS 2,50 m - AL_PSM_P_20070705_094516_DLR_7692_PRUTM (P) (Date: 2007/07/05) * ALOS 2,50 m - AL_PSM_P_20070722_094719_DLR_7940_PRUTM (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20070722_094723_DLR_7940_PRUTM (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20070722_094727_DLR_7940_PRUTM (P) (Date: 2007/07/22) * ALOS 2,50 m - AL_PSM_P_20090409_094550_DLR_17086_PRUTM(P) (Date: 2009/04/09) * ALOS 2,50 m - AL_PSM_P_20090426_094802_DLR_17334_PRUTM (P) (Date: 2009/04/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39e116e0-5b8c-48c5-a2d6-3c6dfcb020a3	2007	2009	TRUE	Finland|Helsinki|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-fi001l_helsinki_2007-2009	None	obsolete
71c47f78-27b6-4080-acd5-47b306b273d8	None	Urban Atlas - Bulgaria - Pleven (Плевен)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/71c47f78-27b6-4080-acd5-47b306b273d8.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50882620603260914032B0 (PS) (Date: 2006/03/26) * Spot 5 2,50 m - 50892620711130929182B8 (PS) (Date: 2007/11/13) * Spot 5 2,50 m - 50902620705270900391B3 (PS) (Date: 2007/05/27)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71c47f78-27b6-4080-acd5-47b306b273d8	2006	2007	TRUE	Bulgaria|Land use|Pleven	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-bg005l_pleven_2006-2007	None	obsolete
08209b88-8fd1-4574-aa83-6c282be9252e	None	Urban Atlas - Latvia - Riga (Rīga)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/08209b88-8fd1-4574-aa83-6c282be9252e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50742330911031002472J8 (XS) (Date: 2009/11/03) * Spot 5 10 m - 50772331004190953142J4 (XS) (Date: 2010/04/19) * Spot 5 10 m - 50772341004140949272J0 (XS) (Date: 2010/04/14) * Spot 5 10 m - 50782340909020953532J0 (XS) (Date: 2009/09/02) * Spot 5 10 m - 50782350909020954012J0 (XS) (Date: 2009/09/02) * Spot 2,50 m - 50742330911031002452B8 (P) (Date: 2009/11/03) * Spot 2,50 m - 50772331004190953112B4 (P) (Date: 2010/04/19) * Spot 2,50 m - 50772341004140949252B0 (P) (Date: 2010/04/14) * Spot 2,50 m - 50782340909020953502B0 (P) (Date: 2009/09/02) * Spot 2,50 m - 50782350909020953582B0 (P) (Date: 2009/09/02)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08209b88-8fd1-4574-aa83-6c282be9252e	2009	2010	TRUE	Land use|Latvia|Riga	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-lv001l_riga_2009-2010	None	obsolete
47423e54-27da-4071-b1f6-101542519cbf	None	Urban Atlas - Finland - Turku	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/47423e54-27da-4071-b1f6-101542519cbf.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50662260609220948352B0 (Date: 2006/09/22) * Spot 5 2,50 m - 50692260608051011341B1 (Date: 2006/08/05) * Spot 10 m - 50692260608051011361J0 (Date: 2006/08/05) * ALOS 10 m - AL_AV2_X_20070616_100011_DLR_7415_PRUTM (Date: 2007/06/16) * ALOS 10 m - AL_AV2_X_20070616_100019_DLR_7415_PRUTM (Date: 2007/06/16) * ALOS 2,50 m - AL_PSM_P_20080503_095720_DLR_12112_PRUTM (Date: 2008/05/03) * ALOS 2,50 m - AL_PSM_P_20080503_095724_DLR_12112_PRUTM (Date: 2008/05/03) * ALOS 2,50 m - AL_PSM_P_20080503_095728_DLR_12112_PRUTM (Date: 2008/05/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47423e54-27da-4071-b1f6-101542519cbf	2006	2008	TRUE	Finland|Land use|Turku	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-fi003l_turku_2006-2008	None	obsolete
e9880a82-c8fa-49f1-9141-947243c1e85e	None	Urban Atlas - Germany - Wiesbaden	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9880a82-c8fa-49f1-9141-947243c1e85e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * RapidEye 5 m - 2009-08-19T111354_RE4_3A-NAC_5450297_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111354_RE4_3A-NAC_5450299_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111357_RE4_3A-NAC_5450301_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111358_RE4_3A-NAC_5450296_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111359_RE4_3A-NAC_5450294_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111400_RE4_3A-NAC_5450298_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111401_RE4_3A-NAC_5450300_104058 (XS) (Date: 2009/08/19) * RapidEye 5 m - 2009-08-19T111402_RE4_3A-NAC_5450295_104058 (XS) (Date: 2009/08/19) * ALOS 10 m - AL_AV2_X_20090617_103839_DLR_18093_PRUTM (XS) (Date: 2009/06/17) * ALOS 2,50 m - AL_PSM_P_20090415_103602_DLR_17174_PRUTM (P) (Date: 2009/04/15) * ALOS 2,50 m - AL_PSM_P_20090415_103606_DLR_17174_PRUTM (P) (Date: 2009/04/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9880a82-c8fa-49f1-9141-947243c1e85e	2009	2009	FALSE	Germany|Land use|Wiesbaden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de020l_wiesbaden_2009	None	obsolete
d1170703-4bd9-4b09-ae28-a186932d6f25	None	Urban Atlas - Italy - Catania	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1170703-4bd9-4b09-ae28-a186932d6f25.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186393001 (PS) (Date: 2005/08/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1170703-4bd9-4b09-ae28-a186932d6f25	2005	2005	FALSE	Catania|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it010l_catania_2005	None	obsolete
ad3a3363-eb50-463d-918c-e30f4112617c	None	Urban Atlas - Czech Republic - Prague (Praha)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad3a3363-eb50-463d-918c-e30f4112617c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784014 (XS) (Date: 2007/09/30) * Spot 5 2,50 m - 00182784015 (XS) (Date: 2007/09/30) * Spot 5 2,50 m - 00182784016 (XS) (Date: 2006/07/20) * Spot 5 2,50 m - 00182784017 (XS) (Date: 2006/07/20) * Spot 5 2,50 m - 00182784018 (XS) (Date: 2006/09/10) * Spot 5 2,50 m - 00182784019 (XS) (Date: 2006/09/10) * Spot 5 2,50 m - 00182793013 (P) (Date: 2007/09/30) * Spot 5 2,50 m - 00182793014 (P) (Date: 2007/09/30) * Spot 5 2,50 m - 00182793015 (P) (Date: 2006/07/20) * Spot 5 2,50 m - 00182793016 (P) (Date: 2006/07/20) * Spot 5 2,50 m - 00182793017 (P) (Date: 2006/09/10) * Spot 5 2,50 m - 00182793018 (P) (Date: 2006/09/10)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad3a3363-eb50-463d-918c-e30f4112617c	2006	2007	TRUE	Czechia|Land use|Prague	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz001l_praha_2006-2007	None	obsolete
b36755bc-0484-40e6-a44b-2c10b3e60fd9	None	Urban Atlas - United Kingdom - Londonderry (Doire)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b36755bc-0484-40e6-a44b-2c10b3e60fd9.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50142381002101142432B3 (PS) (Date: 2010/02/10) * Spot 5 2,50 m - 50142381005081210252B3 (PS) (Date: 2010/05/08)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b36755bc-0484-40e6-a44b-2c10b3e60fd9	2010	2010	FALSE	Land use|Londonderry|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-uk015l_derry_2010	None	obsolete
ba9d7df5-cd08-4499-b85b-fcb19af5505a	None	Urban Atlas - Italy - Taranto	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba9d7df5-cd08-4499-b85b-fcb19af5505a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070618_094837_DLR_7444_PRUTM (XS) (Date: 2007/06/18) * ALOS 2,50 m - AL_AV2_X_20070618_094846_DLR_7444_PRUTM (XS) (Date: 2007/06/18) * ALOS 2,50 m - AL_PSM_P_20061002_094937_DLR_3666_PRUTM (P) (Date: 2006/10/02) * ALOS 2,50 m - AL_PSM_P_20070618_094837_DLR_7444_PRUTM (P) (Date: 2007/06/18) * ALOS 2,50 m - AL_PSM_P_20070618_094841_DLR_7444_PRUTM (P) (Date: 2007/06/18) * ALOS 2,50 m - AL_PSM_P_20070717_094630_DLR_7867_PRUTM (P) (Date: 2007/07/17) * ALOS 2,50 m - AL_PSM_P_20080505_094544_DLR_12141_PRUTM (P) (Date: 2008/05/05) * ALOS 2,50 m - AL_PSM_P_20080505_094548_DLR_12141_PRUTM (P) (Date: 2008/05/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba9d7df5-cd08-4499-b85b-fcb19af5505a	2006	2008	TRUE	Italy|Land use|Taranto	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it022l_taranto_2006-2008	None	obsolete
32abdec0-2c4a-4f3c-ab4b-5f1261d90e75	None	Urban Atlas - Italy - Brescia	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/32abdec0-2c4a-4f3c-ab4b-5f1261d90e75.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00186393003 (PS) (Date: 2006/07/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32abdec0-2c4a-4f3c-ab4b-5f1261d90e75	2006	2006	FALSE	Brescia|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it029l_brescia_2006	None	obsolete
cf3c85e3-affe-4ae4-9b50-566beeedab29	None	Urban Atlas - France - Amiens	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cf3c85e3-affe-4ae4-9b50-566beeedab29.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50382490510271038112B0 (PS) (Date: 2005/10/27) * Spot 5 2,50 m - 50402490510111046112B0 (PS) (Date: 2005/10/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cf3c85e3-affe-4ae4-9b50-566beeedab29	2005	2005	FALSE	Amiens|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr014l_amiens_2005	None	obsolete
92b9615a-c50b-4254-a763-87a3cd203852	None	Urban Atlas - France - Saint-Étienne	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92b9615a-c50b-4254-a763-87a3cd203852.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157009 (PS) (Date: 2005/07/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92b9615a-c50b-4254-a763-87a3cd203852	2005	2005	FALSE	France|Land use|Saint-Étienne	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr011c_saint_etienne_2005	None	obsolete
91b07101-c415-40e6-9d94-ae731072cc03	None	Urban Atlas - Italy - Trento	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/91b07101-c415-40e6-9d94-ae731072cc03.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50602570608311016011B0 (PS) (Date: 2006/08/31)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91b07101-c415-40e6-9d94-ae731072cc03	2006	2006	FALSE	Italy|Land use|Trento	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it014l_trento_2006	None	obsolete
207c3818-986a-4775-9a23-83f49da34d11	None	Urban Atlas - Hungary - Miskolc	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/207c3818-986a-4775-9a23-83f49da34d11.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 0018182800015 (PS) (Date: 2006/07/28) * Spot 5 2,50 m - 0018182800038 (PS) (Date: 2007/10/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/207c3818-986a-4775-9a23-83f49da34d11	2006	2007	TRUE	Hungary|Land use|Miskolc	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu002l_miskolc_2006-2007	None	obsolete
8fd3a352-30d4-4f21-8488-8d6277e556a2	None	Urban Atlas - Czech Republic - Olomouc	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8fd3a352-30d4-4f21-8488-8d6277e556a2.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538052 (PS) (Date: 2007/05/03) * Spot 5 2,50 m - 00183756056 (PS) (Date: 2007/07/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8fd3a352-30d4-4f21-8488-8d6277e556a2	2007	2007	FALSE	Czechia|Land use|Olomouc	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz006l_olomouc_2007	None	obsolete
78a2b145-a061-4119-bb3f-26881dc95c0e	None	Urban Atlas - France - Strasbourg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/78a2b145-a061-4119-bb3f-26881dc95c0e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157004 (PS) (Date: 2005/06/03) * Spot 5 2,50 m - 00187157014 (PS) (Date: 2005/09/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/78a2b145-a061-4119-bb3f-26881dc95c0e	2005	2005	FALSE	France|Land use|Strasbourg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-fr006l_strasbourg_2005	None	obsolete
46bb9eb7-b189-4295-a469-0d753bfacd4a	None	Urban Atlas - Germany - Wuppertal	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/46bb9eb7-b189-4295-a469-0d753bfacd4a.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538025 (PS) (Date: 2005/10/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46bb9eb7-b189-4295-a469-0d753bfacd4a	2005	2005	FALSE	Germany|Land use|Wuppertal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de016l_wuppertal_2005	None	obsolete
a221d323-4318-4036-9ec8-dbb18134be1f	None	Urban Atlas - Poland - Nowy Sącz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a221d323-4318-4036-9ec8-dbb18134be1f.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50772490610180951282J6 (XS) (Date: 2006/10/18) * Spot 5 2,50 m - 50772490610180951262B6 (P) (Date: 2006/10/18)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a221d323-4318-4036-9ec8-dbb18134be1f	2006	2006	FALSE	Land use|Nowy Sącz|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl020l_nowy_sacz_2006	None	obsolete
06359fb7-4c5d-43fa-9d81-16b31711e022	None	Urban Atlas - Poland - Kalisz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/06359fb7-4c5d-43fa-9d81-16b31711e022.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070611_095613_DLR_7342_PREU (XS) (Date: 2007/06/11) * ALOS 2,50 m - AL_AV2_X_20070611_095621_DLR_7342_PREU (XS) (Date: 2007/06/11) * ALOS 2,50 m - AL_AV2_X_20080901_095750_DLR_13877_PREU (XS) (Date: 2008/09/01) * ALOS 2,50 m - AL_AV2_X_20080901_095758_DLR_13877_PREU (XS) (Date: 2008/09/01) * ALOS 2,50 m - AL_PSM_P_20070715_100027_DLR_7838_PREU (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20070715_100032_DLR_7838_PREU (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20070715_100036_DLR_7838_PREU (P) (Date: 2007/07/15) * ALOS 2,50 m - AL_PSM_P_20080515_095517_DLR_12287_PREU (P) (Date: 2008/05/15) * ALOS 2,50 m - AL_PSM_P_20080515_095521_DLR_12287_PREU (P) (Date: 2008/05/15) * ALOS 2,50 m - AL_PSM_P_20080515_095525_DLR_12287_PREU (P) (Date: 2008/05/15) * ALOS 2,50 m - AL_PSM_P_20080601_095704_DLR_12535_PREU (P) (Date: 2008/06/01) * ALOS 2,50 m - AL_PSM_P_20080601_095708_DLR_12535_PREU (P) (Date: 2008/06/01) * ALOS 2,50 m - AL_PSM_P_20080601_095712_DLR_12535_PREU (P) (Date: 2008/06/01) * ALOS 2,50 m - AL_PSM_P_20080601_095716_DLR_12535_PREU (P) (Date: 2008/06/01)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06359fb7-4c5d-43fa-9d81-16b31711e022	2007	2008	TRUE	Kalisz|Land use|Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-pl027l_kalisz_2007-2008	None	obsolete
c2e9b50f-a0bf-4ab0-81ed-345500516609	None	Urban Atlas - Austria - Wien	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2e9b50f-a0bf-4ab0-81ed-345500516609.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784022 (XS) (Date: 2006/07/06) * Spot 5 2,50 m - 00182784025 (XS) (Date: 2006/11/08) * Spot 5 2,50 m - 00182784026 (XS) (Date: 2007/08/15) * Spot 5 2,50 m - 00182784028 (XS) (Date: 2007/05/02) * Spot 5 2,50 m - 00182793021 (P) (Date: 2006/07/06) * Spot 5 2,50 m - 00182793024 (P) (Date: 2006/10/12) * Spot 5 2,50 m - 00182793025 (P) (Date: 2006/11/08) * Spot 5 2,50 m - 00182793026 (P) (Date: 2007/05/02) * Spot 5 2,50 m - 00182793027 (P) (Date: 2005/10/29)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2e9b50f-a0bf-4ab0-81ed-345500516609	2005	2007	TRUE	Austria|Land use|Wien	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-at001l_wien_2005-2007	None	obsolete
1784c02c-8ba0-4a4d-8149-f7f6732b4ec2	None	Urban Atlas - Romania - Giurgiu	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1784c02c-8ba0-4a4d-8149-f7f6732b4ec2.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50922610709280913532B9 (PS) (Date: 2007/09/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1784c02c-8ba0-4a4d-8149-f7f6732b4ec2	2007	2007	FALSE	Giurgiu|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro013l_giurgiu_2007	None	obsolete
464907c6-d8c1-448c-8434-370e55643c13	None	Urban Atlas - Portugal - Coimbra	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/464907c6-d8c1-448c-8434-370e55643c13.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 0018580001 (PS) (Date: 2004/04/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/464907c6-d8c1-448c-8434-370e55643c13	2004	2004	FALSE	Coimbra|Land use|Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-pt005l_coimbra_2004	None	obsolete
4187eb09-9c9b-4810-a0d3-57cac470187d	None	Urban Atlas - Germany - Frankfurt am Main	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4187eb09-9c9b-4810-a0d3-57cac470187d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00185800005 (PS) (Date: 2005/08/31) * Spot 5 2,50 m - 00185800006 (PS) (Date: 2005/08/31) * Spot 5 2,50 m - 00185800007 (PS) (Date: 2005/09/01) * Spot 5 2,50 m - 00185800009 (PS) (Date: 2005/09/01) * Spot 5 2,50 m - 00185800011 (PS) (Date: 2005/10/28)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4187eb09-9c9b-4810-a0d3-57cac470187d	2005	2005	FALSE	Frankfurt am Main|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de005l_frankfurt_am_main_2005	None	obsolete
279676fa-d3be-4dc7-8052-5ea539b64540	None	Urban Atlas - Denmark - Aalborg	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/279676fa-d3be-4dc7-8052-5ea539b64540.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50462320908051032192B0 (PS) (Date: 2009/08/05) * Spot 5 2,50 m - 50462320909101040452B0 (PS) (Date: 2009/09/10) * Spot 5 2,50 m - 50462331004121028312B0 (PS) (Date: 2010/04/12) * Spot 5 2,50 m - 50462341007231107532B0 (PS) (Date: 2010/07/23) * Spot 5 2,50 m - 50462350908201044352B0 (PS) (Date: 2009/08/20) * Spot 5 2,50 m - 50492330908201044192B0 (PS) (Date: 2009/08/20) * Spot 5 2,50 m - 50492331004101106552B0 (PS) (Date: 2010/04/10) * Spot 5 2,50 m - 50492340908201044272B0 (PS) (Date: 2009/08/20) * RapidEye 5 m - 2009-07-03T112449_RE4_3A-NAC_6219653_110438 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-03T112452_RE4_3A-NAC_6219654_110438 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-03T112453_RE4_3A-NAC_6219652_110438 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-07-03T112454_RE4_3A-NAC_6219650_110438 (XS) (Date: 2009/07/03) * RapidEye 5 m - 2009-08-18T113248_RE2_3A-NAC_6222708_110438 (XS) (Date: 2009/08/18) * RapidEye 5 m - 2009-09-19T112418_RE1_3A-NAC_6222632_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112419_RE1_3A-NAC_6222314_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112425_RE1_3A-NAC_6222315_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112426_RE1_3A-NAC_6222308_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112429_RE1_3A-NAC_6222631_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112430_RE1_3A-NAC_6222633_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112430_RE1_3A-NAC_6222316_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112432_RE1_3A-NAC_6222309_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112433_RE1_3A-NAC_6222310_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112434_RE1_3A-NAC_6222630_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112435_RE1_3A-NAC_6222317_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112435_RE1_3A-NAC_6222637_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112436_RE1_3A-NAC_6222635_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112437_RE1_3A-NAC_6222634_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-09-19T112438_RE1_3A-NAC_6222636_110438 (XS) (Date: 2009/09/19) * RapidEye 5 m - 2009-10-15T110818_RE4_3A-NAC_6219573_110438 (XS) (Date: 2009/10/15) * RapidEye 5 m - 2009-10-17T113010_RE5_3A-NAC_6220094_110438 (XS) (Date: 2009/10/17) * RapidEye 5 m - 2009-10-17T113011_RE5_3A-NAC_6220095_110438 (XS) (Date: 2009/10/17) * RapidEye 5 m - 2009-10-17T113014_RE5_3A-NAC_6220093_110438 (XS) (Date: 2009/10/17) * RapidEye 5 m - 2009-10-17T113022_RE5_3A-NAC_6220096_110438 (XS) (Date: 2009/10/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/279676fa-d3be-4dc7-8052-5ea539b64540	2009	2010	TRUE	Aalborg|Denmark|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-dk004l_aalborg_2009-2010	None	obsolete
d4fd776c-cbfa-4442-a8c2-11aa34eea678	None	Urban Atlas - France - Le Havre	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4fd776c-cbfa-4442-a8c2-11aa34eea678.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50m - AL_AV2_X_20080507_110447_DLR_12171_PREU (XS) (Date: 2008/05/07) * ALOS 2,50m - AL_PSM_P_20080507_110443_DLR_12171_PREU (P) (Date: 2008/05/07) * ALOS 2,50m - AL_PSM_P_20080507_110447_DLR_12171_PREU (P) (Date: 2008/05/07)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4fd776c-cbfa-4442-a8c2-11aa34eea678	2008	2008	FALSE	France|Land use|Le Havre	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_50_k_urban-atlas-fr012l_le_havre_2008	None	obsolete
414c3d7d-3453-4825-84cf-12767412e853	None	Urban Atlas - United Kingdom - Leeds	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/414c3d7d-3453-4825-84cf-12767412e853.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 10 m - 50252400609211150582J0 (XS) (Date: 2005/06/27) * Spot 5 10 m - 50262400610291120032J0 (XS) (Date: 2006/05/04) * Spot 5 10 m - 50262410605041143031J0 (XS) (Date: 2006/10/29) * Spot 5 10 m - 50292400506271125292J8 (XS) (Date: 2006/09/21) * ALOS 10 m - AL_AV2_X_20070901_112111_DLR_8539_PRUTM (XS) (Date: 2007/09/01) * ALOS 10 m - AL_AV2_X_20070901_112119_DLR_8539_PRUTM (XS) (Date: 2007/09/01) * ALOS 2,50 m - AL_PSM_P_20070601_112128_DLR_7197_PRUTM (P) (Date: 2007/06/01) * ALOS 2,50 m - AL_PSM_P_20070601_112132_DLR_7197_PRUTM (P) (Date: 2007/06/01) * ALOS 2,50 m - AL_PSM_P_20070601_112136_DLR_7197_PRUTM (P) (Date: 2007/06/01) * ALOS 2,50 m - AL_PSM_P_20090323_112407_DLR_16839_PRUTM (P) (Date: 2009/03/23) * ALOS 2,50 m - AL_PSM_P_20090421_112208_DLR_17262_PRUTM (P) (Date: 2009/04/21) * ALOS 2,50 m - AL_PSM_P_20090421_112212_DLR_17262_PRUTM (P) (Date: 2009/04/21) * ALOS 2,50 m - AL_PSM_P_20090421_112216_DLR_17262_PRUTM (P) (Date: 2009/04/21) * RapidEye 5 m - 2009-04-19T115021_RE4_3A-NAC_6222639_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115022_RE4_3A-NAC_6223142_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115023_RE4_3A-NAC_6222980_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115025_RE4_3A-NAC_6223140_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115025_RE4_3A-NAC_6223143_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115026_RE4_3A-NAC_6222640_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115028_RE4_3A-NAC_6222319_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115029_RE4_3A-NAC_6222709_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115030_RE4_3A-NAC_6222877_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115032_RE4_3A-NAC_6223139_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115032_RE4_3A-NAC_6222641_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T115033_RE4_3A-NAC_6222318_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T121027_RE3_3A-NAC_6222765_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T121028_RE3_3A-NAC_6223145_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-04-19T121031_RE3_3A-NAC_6222849_110504 (XS) (Date: 2009/04/19) * RapidEye 5 m - 2009-05-31T115306_RE3_3A-NAC_6222766_110504 (XS) (Date: 2009/05/31) * RapidEye 5 m - 2009-05-31T115309_RE3_3A-NAC_6222313_110504 (XS) (Date: 2009/05/31) * RapidEye 5 m - 2010-04-11T120356_RE3_3A-NAC_6224468_110504 (XS) (Date: 2010/04/11) * RapidEye 5 m - 2010-04-11T120400_RE3_3A-NAC_6224174_110504 (XS) (Date: 2010/04/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/414c3d7d-3453-4825-84cf-12767412e853	2005	2010	TRUE	Land use|Leeds|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk201l_leeds_2005-2010	None	obsolete
e2aeb5f9-baba-4455-9f5b-8173acb0eb7c	None	Urban Atlas - Spain - Badajoz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e2aeb5f9-baba-4455-9f5b-8173acb0eb7c.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070515_112329_DLR_6949_PRUTM (XS) (Date: 2007/05/15) * ALOS 2,50 m - AL_AV2_X_20070515_112338_DLR_6949_PRUTM (XS) (Date: 2007/05/15) * ALOS 2,50 m - AL_PSM_P_20070515_112329_DLR_6949_PRUTM (P) (Date: 2007/05/15) * ALOS 2,50 m - AL_PSM_P_20070515_112334_DLR_6949_PRUTM (P) (Date: 2007/05/15) * ALOS 2,50 m - AL_PSM_P_20070515_112338_DLR_6949_PRUTM (P) (Date: 2007/05/15) * ALOS 2,50 m - AL_PSM_P_20070515_112342_DLR_6949_PRUTM (P) (Date: 2007/05/15) * ALOS 2,50 m - AL_PSM_P_20070630_112327_DLR_7620_PRUTM (P) (Date: 2007/06/30) * ALOS 2,50 m - AL_PSM_P_20070630_112331_DLR_7620_PRUTM (P) (Date: 2007/06/30) * ALOS 2,50 m - AL_PSM_P_20070630_112335_DLR_7620_PRUTM (P) (Date: 2007/06/30) * ALOS 2,50 m - AL_PSM_P_20070630_112339_DLR_7620_PRUTM (P) (Date: 2007/06/30)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e2aeb5f9-baba-4455-9f5b-8173acb0eb7c	2007	2007	FALSE	Badajoz|Land use|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-es017l_badajoz_2007	None	obsolete
5cb21492-6cce-4733-b615-6355ba3840f3	None	Urban Atlas - Denmark - Odense	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5cb21492-6cce-4733-b615-6355ba3840f3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50492370510051059532B0 (PS) (Date: 2005/10/05) * Spot 5 2,50 m - 50492370608081055531B0 (PS) (Date: 2006/08/08) * Spot 5 2,50 m - 50492370609141044261B9 (PS) (Date: 2006/09/14) * Spot 5 2,50 m - 50502370510071021152B1 (PS) (Date: 2005/10/07) * Spot 5 2,50 m - 50502380609241052152B1 (PS) (Date: 2006/09/24) * Spot 5 2,50 m - 50532380607031048121B2 (PS) (Date: 2006/07/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5cb21492-6cce-4733-b615-6355ba3840f3	2005	2006	TRUE	Denmark|Land use|Odense	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-dk003l_odense_2005-2006	None	obsolete
7ed48e1c-10c7-49fd-a47d-0c4658676608	None	Urban Atlas - United Kingdom - Cambridge	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ed48e1c-10c7-49fd-a47d-0c4658676608.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50332440611091108491B1 (PS) (Date: 2006/11/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ed48e1c-10c7-49fd-a47d-0c4658676608	2006	2006	FALSE	Cambridge|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-uk017l_cambridge_2006	None	obsolete
46f983b5-7ddd-4460-a66f-fe254e75eaf3	None	Urban Atlas - France - Limoges	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/46f983b5-7ddd-4460-a66f-fe254e75eaf3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 10 m - AL_AV2_X_20080920_112308_DLR_14155_PRUTM (XS) (Date: 2008/09/20) * ALOS 10 m - AL_AV2_X_20080920_112316_DLR_14155_PRUTM (XS) (Date: 2008/09/20) * ALOS 2,50 m - AL_PSM_P_20070327_105759_DLR_6234_PRUTM (P) (Date: 2007/03/27) * ALOS 2,50 m - AL_PSM_P_20070327_105803_DLR_6234_PRUTM (P) (Date: 2007/03/27) * ALOS 2,50 m - AL_PSM_P_20070910_105542_DLR_8670_PRUTM (P) (Date: 2007/09/10) * ALOS 2,50 m - AL_PSM_P_20080629_105430_DLR_12944_PRUTM (P) (Date: 2008/06/29) * ALOS 2,50 m - AL_PSM_P_20080629_105434_DLR_12944_PRUTM (P) (Date: 2008/06/29) * ALOS 2,50 m - AL_PSM_P_20080929_105549_DLR_14286_PRUTM (P) (Date: 2008/09/29) * ALOS 2,50 m - AL_PSM_P_20080929_105553_DLR_14286_PRUTM (P) (Date: 2008/09/29) * ALOS 2,50 m - AL_PSM_P_20080929_105557_DLR_14286_PRUTM (P) (Date: 2008//09/29) * ALOS 2,50 m - AL_PSM_P_20090603_110108_DLR_17889_PRUTM (P) (Date: 2009/06/03) * ALOS 2,50 m - AL_PSM_P_20090603_110112_DLR_17889_PRUTM (P) (Date: 2009/06/03) * ALOS 2,50 m - AL_PSM_P_20090603_110116_DLR_17889_PRUTM (P) (Date: 2009/06/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46f983b5-7ddd-4460-a66f-fe254e75eaf3	2007	2009	TRUE	France|Land use|Limoges	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr024l_limoges_2007-2009	None	obsolete
00ec2be8-c65a-4a4e-896b-bd72f20d4cfe	None	Urban Atlas - France - Lyon	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/00ec2be8-c65a-4a4e-896b-bd72f20d4cfe.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 001827970001 (PS) (Date: 2005/06/24) * Spot 5 2,50 m - 001827970002 (PS) (Date: 2005/07/15) * Spot 5 2,50 m - 001827970003 (PS) (Date: 2005/10/11) * Spot 5 2,50 m - 001827970004 (PS) (Date: 2005/10/11)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/00ec2be8-c65a-4a4e-896b-bd72f20d4cfe	2005	2005	FALSE	France|Land use|Lyon	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr003l_lyon_2005	None	obsolete
e014f1a0-9cdf-409e-8856-018f4a6b4cb5	None	Urban Atlas - Italy - Rome (Roma)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e014f1a0-9cdf-409e-8856-018f4a6b4cb5.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182767001 (PS) (Date: 2005/04/26) * Spot 5 2,50 m - 00182767002 (PS) (Date: 2005/07/23) * Spot 5 2,50 m - 00182767003 (PS) (Date: 2005/07/24) * Spot 5 2,50 m - 00182767004 (PS) (Date: 2005/08/28) * Spot 5 2,50 m - 00182767005 (PS) (Date: 2005/08/30)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e014f1a0-9cdf-409e-8856-018f4a6b4cb5	2005	2005	FALSE	Italy|Land use|Rome	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-it001l_roma_2005	None	obsolete
7584d10d-cd34-4fc5-9da8-a891885c3771	None	Urban Atlas - Czech Republic - Zlín	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7584d10d-cd34-4fc5-9da8-a891885c3771.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50712500707201000211B4 (PS) (Date: 2007/07/20)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7584d10d-cd34-4fc5-9da8-a891885c3771	2007	2007	FALSE	Czechia|Land use|Zlín	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-cz011l_zlin_2007	None	obsolete
a502f9eb-6efc-4624-b83e-a2ba815bfc4d	None	Urban Atlas - France - Ajaccio	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a502f9eb-6efc-4624-b83e-a2ba815bfc4d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50582650510271039561B3 (P) (Date: 2005/10/27) * ALOS 10 m - AL_AV2_X_20070816_102435_DLR_8305_PREU (XS) (Date: 2007/08/16) * ALOS 10 m - AL_AV2_X_20070816_102443_DLR_8305_PREU (XS) (Date: 2007/08/16) * ALOS2,50 m - AL_PSM_P_20070614_102233_DLR_7386_PREU (P) (Date: 2007/06/14) * ALOS2,50 m - AL_PSM_P_20080616_101921_DLR_12754_PREU (P) (Date: 2007/08/16) * ALOS2,50 m - AL_PSM_P_20080616_101925_DLR_12754_PREU (P) (Date: 2007/08/16) * ALOS2,50 m - AL_PSM_P_20080703_102117_DLR_13002_PREU (P) (Date: 2008/07/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a502f9eb-6efc-4624-b83e-a2ba815bfc4d	2005	2008	TRUE	Ajaccio|France|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-fr027l_ajaccio_2005-2008	None	obsolete
f97b587f-cfa1-4340-84b3-511b5566b759	None	Urban Atlas - France - Orléans	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f97b587f-cfa1-4340-84b3-511b5566b759.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * ALOS 2,50 m - AL_AV2_X_20070311_113529_DLR_6001_PREU(XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_AV2_X_20070311_113537_DLR_6001_PREU (XS) (Date: 2007/03/11) * ALOS 2,50 m - AL_PSM_P_20070327_105726_DLR_6234_PREU (P) (Date: 2007/03/27) * ALOS 2,50 m - AL_PSM_P_20070327_105730_DLR_6234_PREU (P) (Date: 2007/03/27) * ALOS 2,50 m - AL_PSM_P_20070327_105734_DLR_6234_PREU (P) (Date: 2007/03/27) * ALOS 2,50 m - AL_PSM_P_20080514_105420_DLR_12273_PREU (P) (Date: 2008/05/14) * ALOS 2,50 m - AL_PSM_P_20080514_105425_DLR_12273_PREU (P) (Date: 2008/05/14) * ALOS 2,50 m - AL_PSM_P_20080716_105606_DLR_13192_PREU (P) (Date: 2008/07/16) * ALOS 2,50 m - AL_PSM_P_20080716_105610_DLR_13192_PREU (P) (Date: 2008/07/16) * ALOS 2,50 m - AL_PSM_P_20090303_105953_DLR_16547_PREU (P) (Date: 2009/03/03) * ALOS 2,50 m - AL_PSM_P_20090603_110035_DLR_17889_PREU (P) (Date: 2009/03/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f97b587f-cfa1-4340-84b3-511b5566b759	2007	2009	TRUE	France|Land use|Orléans	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr019l_orleans_2007-2009	None	obsolete
6e8f9f86-6db9-4e9a-85a5-e3dd1f16b72d	None	Urban Atlas - Latvia - Liepāja	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e8f9f86-6db9-4e9a-85a5-e3dd1f16b72d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800008 (PS) (Date: 2005/10/13) * Spot 5 2,50 m - 00182800030 (PS) (Date: 2007/06/02) * Spot 5 2,50 m - 00182767031 (PS) (Date: 2007/06/02) * Spot 5 2,50 m - 00182767032 (PS) (Date: 2007/07/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e8f9f86-6db9-4e9a-85a5-e3dd1f16b72d	2005	2007	TRUE	Land use|Latvia|Liepāja	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-lv002l_liepaja_2005-2007	None	obsolete
71915f31-9e44-4b17-9d25-e04ed9dc49ae	None	Urban Atlas - France - Poitiers	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/71915f31-9e44-4b17-9d25-e04ed9dc49ae.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50372550510091125381B8 (PS) (Date: 2005/10/09) * Spot 5 2,50 m - 50382560509191110421B1 (PS) (Date: 2005/09/19)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71915f31-9e44-4b17-9d25-e04ed9dc49ae	2005	2005	FALSE	France|Land use|Poitiers	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-fr021l_poitiers_2005	None	obsolete
2b6f428c-c39a-4301-9bd3-667e16ae5284	None	Urban Atlas - Spain - Oviedo	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b6f428c-c39a-4301-9bd3-667e16ae5284.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50272630610281142251B0 (PS) (Date: 2006/10/28) * Spot 5 2,50 m - 50282620709051138341B6 (PS) (Date: 2007/09/05)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b6f428c-c39a-4301-9bd3-667e16ae5284	2006	2007	TRUE	Land use|Oviedo|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32629_10_k_urban-atlas-es013l_oviedo_2006-2007	None	obsolete
417445aa-2135-470a-9dd7-70c3b6b51bf6	None	Urban Atlas - Romania - Bacău	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/417445aa-2135-470a-9dd7-70c3b6b51bf6.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50912560610200913302B0 (PS) (Date: 2006/10/20) * Spot 5 2,50 m - 50932560610050901571B0 (PS) (Date: 2005/10/06)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/417445aa-2135-470a-9dd7-70c3b6b51bf6	2005	2006	TRUE	Bacău|Land use|Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro007l_bacau_2005-2006	None	obsolete
bc427c53-0244-4e38-8a71-6a49328511c2	None	Urban Atlas - Greece - Thessaloniki (Θεσσαλονίκη)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bc427c53-0244-4e38-8a71-6a49328511c2.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784043( XS) (Date: 2006/08/29) * Spot 5 2,50 m - 00182784044 (XS) (Date: 2006/11/09) * Spot 5 2,50 m - 00182793043 (P) (Date: 2006/08/29) * Spot 5 2,50 m - 00182793044 (P) (Date: 2006/11/09)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc427c53-0244-4e38-8a71-6a49328511c2	2006	2006	FALSE	Greece|Land use|Thessaloniki	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-gr002l_thessaloniki_2006	None	obsolete
d7103068-8cf2-4b9a-891a-4f0552915f78	None	Urban Atlas - Germany - Freiburg (Freiburg im Breisgau)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d7103068-8cf2-4b9a-891a-4f0552915f78.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50512520709131042331B6 (P) (Date: 2007/09/13) * Spot 5 2,50 m - 50512520709131042331B8 (P) (Date: 2007/09/13) * Spot 5 2,50 m - 50532520508051035452B5 (P) (Date: 2005/08/05) * Spot 5 2,50 m - 50532530509251054242B0 (P) (Date: 2005/09/25) * Spot 5 2,50 m - 50532530609211011491B7 (P) (Date: 2006/09/21) * ALOS 10 m - AL_AV2_X_20070419_100820_DLR_6569_PRUTM (XS) (Date: 2007/04/19) * ALOS 2,50 m - AL_PSM_P_20061008_103455_DLR_3754_PRUTM (P) (Date: 2006/10/08) * ALOS 2,50 m - AL_PSM_P_20070624_103346_DLR_7532_PRUTM (P) (Date: 2007/06/24) * ALOS 2,50 m - AL_PSM_P_20070624_103350_DLR_7532_PRUTM (P) (Date: 2007/06/24) * ALOS 2,50 m - AL_PSM_P_20080511_103047_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20080511_103052_DLR_12229_PRUTM (P) (Date: 2008/05/11) * ALOS 2,50 m - AL_PSM_P_20090415_103631_DLR_17174_PRUTM (P) (Date: 2009/04/15) * ALOS 2,50 m - AL_PSM_P_20090415_103635_DLR_17174_PRUTM (P) (Date: 2009/04/15) * ALOS 2,50 m - AL_PSM_P_20090415_103639_DLR_17174_PRUTM (P) (Date: 2009/04/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d7103068-8cf2-4b9a-891a-4f0552915f78	2005	2009	TRUE	Freiburg|Germany|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-de027l_freiburg_im_breisgau_2005-2009	None	obsolete
9346a4a7-1377-4e48-bedd-23653caf2685	None	Urban Atlas - Austria - Graz	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9346a4a7-1377-4e48-bedd-23653caf2685.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800015 (PS) (Date: 2006/07/21) * Spot 5 2,50 m - 00182800037 (PS) (Date: 2007/08/05) * Spot 5 2,50 m - 00182800042 (PS) (Date: 2007/10/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9346a4a7-1377-4e48-bedd-23653caf2685	2006	2007	TRUE	Austria|Graz|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-at002l_graz_2006-2007	None	obsolete
13000f8a-efb9-49a8-aa0d-8a004809e52d	None	Urban Atlas - Spain - Bilbao	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13000f8a-efb9-49a8-aa0d-8a004809e52d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538005 (PS) (Date: 2005/07/13) * Spot 5 2,50 m - 00183538011 (PS) (Date: 2005/08/13)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13000f8a-efb9-49a8-aa0d-8a004809e52d	2005	2005	FALSE	Bilbao|Land use|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es019l_bilbao_2005	None	obsolete
2c329471-1e6f-4ff8-9785-3dcffcf311d3	None	Urban Atlas - Slovakia - Košice	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2c329471-1e6f-4ff8-9785-3dcffcf311d3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182800036 (PS) (Date: 2007/07/21)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c329471-1e6f-4ff8-9785-3dcffcf311d3	2007	2007	FALSE	Košice|Land use|Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-sk002l_kosice_2007	None	obsolete
41b1c84b-b6b0-4c2c-9669-f22d2a402273	None	Urban Atlas - Netherlands - Arnhem	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/41b1c84b-b6b0-4c2c-9669-f22d2a402273.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50422440510101104431B8 (PS) (Date: 2005/10/10) * Spot 5 2,50 m - 50452440607181100471B1 (PS) (Date: 2006/07/18) * Spot 5 2,50 m - 50452450507141058272B0 (PS) (Date: 2005/07/14)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41b1c84b-b6b0-4c2c-9669-f22d2a402273	2005	2006	TRUE	Arnhem|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32632_10_k_urban-atlas-nl009l_arnhem_2005-2006	None	obsolete
14fccfd6-ca6c-4956-9eaf-af3607ca3290	None	Urban Atlas - Hungary - Győr	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14fccfd6-ca6c-4956-9eaf-af3607ca3290.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00186394044 (PS) (Date: 2007/09/25)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14fccfd6-ca6c-4956-9eaf-af3607ca3290	2007	2007	FALSE	Győr|Hungary|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-hu007l_gyor_2007	None	obsolete
e549116c-8b28-449e-9be8-5b3378c35d2d	None	Urban Atlas - United Kingdom - Liverpool	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e549116c-8b28-449e-9be8-5b3378c35d2d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 06JUL15113846-M1BS-052239075020_01_P006 (PS) (Date: 2006/07/15) * Spot 5 2,50 m - 06JUL15113847-M1BS-052239075020_01_P004 (PS) (Date: 2006/07/15) * Spot 5 2,50 m - 06JUL15113850-M1BS-052239075020_01_P005 (PS) (Date: 2006/07/15) * Spot 5 2,50 m - 08FEB06114639-M1BS-052239075020_01_P001 (PS) (Date: 2008/02/06) * Spot 5 2,50 m - 08FEB06114642-M1BS-052239075020_01_P002 (PS) (Date: 2008/02/06) * Spot 5 2,50 m - 08FEB06114645-M1BS-052239075010_01_P001 (PS) (Date: 2008/02/06) * Spot 5 2,50 m - 08FEB06114645-M1BS-052239075020_01_P003 (PS) (Date: 2008/02/06) * Spot 5 2,50 m - 50252411003041119552B3 (PS) (Date: 2010/03/04)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e549116c-8b28-449e-9be8-5b3378c35d2d	2006	2010	TRUE	Land use|Liverpool|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk006l_liverpool_2006-2010	None	obsolete
71b022eb-0ed7-4c3f-853b-5c08eb8b777d	None	Urban Atlas - Spain - Palma de Mallorca	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/71b022eb-0ed7-4c3f-853b-5c08eb8b777d.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * SPOT 5 2,50 m - 00183538006 (PS) (Date: 2005/07/14) * SPOT 5 2,50 m - 00183538008 (PS) (Date: 2005/07/20) * SPOT 5 2,50 m - 00183538009 (PS) (Date: 2005/07/31) * SPOT 5 2,50 m - 00183538010 (PS) (Date: 2005/08/04)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71b022eb-0ed7-4c3f-853b-5c08eb8b777d	2005	2005	FALSE	Land use|Palma de Mallorca|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-es010l_palma_di_mallorca_2005	None	obsolete
e48defb4-5321-498a-a706-8a01fc402782	None	Urban Atlas - Romania - Sibiu	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e48defb4-5321-498a-a706-8a01fc402782.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50872580708170922041B0 (PS) (Date: 2007/08/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e48defb4-5321-498a-a706-8a01fc402782	2007	2007	FALSE	Land use|Romania|Sibiu	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32635_10_k_urban-atlas-ro009l_sibiu_2007	None	obsolete
c3916d45-24fe-4b4f-837b-118f45061e11	None	Urban Atlas - Netherlands - Amsterdam	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3916d45-24fe-4b4f-837b-118f45061e11.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00182784001 (MS) (Date: 2005/09/19) * Spot 5 2,50 m - 00182784002 (MS) (Date: 2006/09/13) * Spot 5 2,50 m - 00182784003 (MS) (Date: 2005/06/23) * Spot 5 2,50 m - 00182793001 (P) (Date: 2005/09/19) * Spot 5 2,50 m - 00182793002 (P) (Date: 2006/09/13) * Spot 5 2,50 m - 00182793003 (P) (Date: 2005/06/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3916d45-24fe-4b4f-837b-118f45061e11	2005	2006	TRUE	Amsterdam|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl002l_amsterdam_2005-2006	None	obsolete
28a9b464-9cd7-44a3-af48-b5003b65f8f3	None	Urban Atlas - Netherlands - Utrecht	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28a9b464-9cd7-44a3-af48-b5003b65f8f3.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00183538004 (PS) (Date: 2005/06/23) * Spot 5 2,50 m - 00183538024 (PS) (Date: 2005/10/15)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28a9b464-9cd7-44a3-af48-b5003b65f8f3	2005	2005	FALSE	Land use|Netherlands|Utrecht	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl004l_utrecht_2005	None	obsolete
ed00d825-a7e9-48e5-a32e-031f3ae6007e	None	Urban Atlas - Spain - Málaga	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ed00d825-a7e9-48e5-a32e-031f3ae6007e.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50342760507031114452B2 (PS) (Date: 2005/07/03)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ed00d825-a7e9-48e5-a32e-031f3ae6007e	2005	2005	FALSE	Land use|Málaga|Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-es006l_malaga_2005	None	obsolete
0596e626-8683-4b21-8aef-2cf79409b630	None	Urban Atlas - United Kingdom - Cardiff	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0596e626-8683-4b21-8aef-2cf79409b630.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50252450909181129262B3 (PS) (Date: 2009/09/18) * Spot 5 2,50 m - 50262450801241123392B3 (PS) (Date: 2008/01/24) * Rapideye 5 m - 2010-06-23T121542_RE4_3A-NAC_5452674_104084 (XS) (Date: 2010/06/23) * Rapideye 5 m - 2010-06-23T121542_RE4_3A-NAC_5452705_104084 (XS) (Date: 2010/06/23) * Rapideye 5 m - 2010-06-23T121545_RE4_3A-NAC_5452703_104084 (XS) (Date: 2010/06/23) * Rapideye 5 m - 2010-06-23T121546_RE4_3A-NAC_5452636_104084 (XS) (Date: 2010/06/23) * Rapideye 5 m - 2010-06-23T121548_RE4_3A-NAC_5452639_104084 (XS) (Date: 2010/06/23) * Rapideye 5 m - 2010-06-23T121549_RE4_3A-NAC_5452704_104084 (XS) (Date: 2010/06/23)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0596e626-8683-4b21-8aef-2cf79409b630	2008	2010	TRUE	Cardiff|Land use|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32630_10_k_urban-atlas-uk009l_cardiff_2008-2010	None	obsolete
0471462e-8848-40d1-b1cc-8c7b8d7d8855	None	Urban Atlas - Netherlands - Breda	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0471462e-8848-40d1-b1cc-8c7b8d7d8855.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 00187157022 (PS) (Date: 2005 8/9)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0471462e-8848-40d1-b1cc-8c7b8d7d8855	2005	2005	FALSE	Breda|Land use|Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-nl012l_breda_2005	None	obsolete
ac78b76b-12b8-4227-8119-c7a6206fbaaa	None	Urban Atlas - Hungary - Székesfehérvár	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac78b76b-12b8-4227-8119-c7a6206fbaaa.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50742540707160937452B7 (PS) (Date: 2007/07/16)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac78b76b-12b8-4227-8119-c7a6206fbaaa	2007	2007	FALSE	Hungary|Land use|Székesfehérvár	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32634_10_k_urban-atlas-hu009l_szekesfehervar_2007	None	obsolete
09a3b081-80e7-4ba4-a9e7-d60b550978b6	None	Urban Atlas - Italy - Campobasso	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/09a3b081-80e7-4ba4-a9e7-d60b550978b6.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Spot 5 2,50 m - 50702660608161005242B2 (PS) (Date: 2006/08/16) * Spot 5 2,50 m - 50712660710170949402B4 (PS) (Date: 2007/10/17)	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09a3b081-80e7-4ba4-a9e7-d60b550978b6	2006	2007	TRUE	Campobasso|Italy|Land use	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32633_10_k_urban-atlas-it020l_campobasso_2006-2007	None	obsolete
7529cdcc-7c99-4e3c-9bf4-df59e81a5a01	None	Urban Atlas - Belgium - Namur (Namen)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7529cdcc-7c99-4e3c-9bf4-df59e81a5a01.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Format (shapefile + prj)  - Ok (Date: ) * SOIL SEALING cover and projection - Ok (Date: ) * COTS validation - Ok (Date: )	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7529cdcc-7c99-4e3c-9bf4-df59e81a5a01	None	None	FALSE	Belgium|Land use|Namur	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32631_10_k_urban-atlas-be007l_namur_	None	obsolete
41c16f0f-b13f-4ff6-9060-f19cb2041020	None	Urban Atlas - Cyprus - Nicosia (Λευκωσία)	None	None	None	None	None	The Urban Atlas is providing pan-European comparable land use and land cover data for Large Urban Zones with more than 100.000 inhabitants as defined by the Urban Audit. Urban Atlas' mission is to provide high-resolution hotspot mapping of changes in urban spaces and indicators for users such as city governments, the European Environment Agency (EEA) and European Commission departments.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/41c16f0f-b13f-4ff6-9060-f19cb2041020.png	None	2019-06-04	None	None	land use|urban area	vector	SHP	None	1:10000	None	Earth Observation (EO) Data used: * Format (shapefile + prj)  - Ok (Date: ) * SOIL SEALING cover and projection - Ok (Date: ) * COTS validation - Ok (Date: )	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41c16f0f-b13f-4ff6-9060-f19cb2041020	None	None	FALSE	Cyprus|Land use|Nicosia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General Enterprise and Industry.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	regio_v_32636_10_k_urban-atlas-cy001l_lefkosia_	None	obsolete
d862a711-94a1-41cc-ace9-d01729ac4c33	None	Corine Land Cover 1990 - 2000 changes (vector) - version 13, Feb. 2010	None	None	None	None	None	Corine Land Cover 1990 - 200 changes - version 13 (02/2010) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d862a711-94a1-41cc-ace9-d01729ac4c33.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d862a711-94a1-41cc-ace9-d01729ac4c33	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_1990-2000_rev13	None	obsolete
62ab28a3-62ba-4a63-bed0-e2d1fdacc0a6	None	Corine Land Cover 2006 (raster 250m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62ab28a3-62ba-4a63-bed0-e2d1fdacc0a6.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 2006 vector v16 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62ab28a3-62ba-4a63-bed0-e2d1fdacc0a6	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2006_rev16	None	obsolete
bf2663e2-688f-4df9-9957-8963941e9e97	None	Corine Land Cover 2000 - 2006 changes (vector) - version 16, Apr. 2012	None	None	None	None	None	CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf2663e2-688f-4df9-9957-8963941e9e97.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 16 (V6) (04/2012) Product date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - Reprojected CHA06 data for Malta are included - very small polygons, which are not part of complex change or which are not along country border has been deleted V5: 07/2011 - Upgraded version -Great Britain included - Contains data for 38 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland and Northern Ireland included - Contains data for 38 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf2663e2-688f-4df9-9957-8963941e9e97	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_2000-2006_rev16	None	obsolete
a096d6a0-0472-403b-ad0b-cf38f059d418	None	Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a096d6a0-0472-403b-ad0b-cf38f059d418.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a096d6a0-0472-403b-ad0b-cf38f059d418	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_1990-2000_rev13	None	obsolete
023fb29e-b295-40ba-bddb-473d4c165cfb	None	Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/023fb29e-b295-40ba-bddb-473d4c165cfb.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/023fb29e-b295-40ba-bddb-473d4c165cfb	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev15	None	obsolete
97110e65-7739-40ea-93c1-311a81d14612	None	Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/97110e65-7739-40ea-93c1-311a81d14612.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/97110e65-7739-40ea-93c1-311a81d14612	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_1990-2000_rev15	None	obsolete
d6ebe92d-4f4e-4ac3-b4e3-7f10d1ca155b	None	Corine Land Cover 1990 (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6ebe92d-4f4e-4ac3-b4e3-7f10d1ca155b.png	EPSG:3035	2019-06-04	None	None	None	grid	AIG	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres). Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6ebe92d-4f4e-4ac3-b4e3-7f10d1ca155b	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_1990_rev13	None	obsolete
eeb81dfe-d254-4e49-8500-cf5e0eaf6abf	None	Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eeb81dfe-d254-4e49-8500-cf5e0eaf6abf.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eeb81dfe-d254-4e49-8500-cf5e0eaf6abf	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_2000-2006_rev16	None	obsolete
34a08622-01f6-4b0c-9ff4-f8d4ad11242e	None	Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34a08622-01f6-4b0c-9ff4-f8d4ad11242e.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34a08622-01f6-4b0c-9ff4-f8d4ad11242e	1990	2000	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev15	None	obsolete
2f5fa250-ff66-4990-9e1d-55f29a1a1902	None	Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f5fa250-ff66-4990-9e1d-55f29a1a1902.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f5fa250-ff66-4990-9e1d-55f29a1a1902	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_2000-2006_rev15	None	obsolete
805120fc-849e-4f31-acbe-2aa3a848eba3	None	Corine Land Cover 2006 seamless (vector) - version 15, Aug. 2011	None	None	None	None	None	CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/805120fc-849e-4f31-acbe-2aa3a848eba3.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/805120fc-849e-4f31-acbe-2aa3a848eba3	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2006_rev15	None	obsolete
694cb6f7-fb61-47dc-8b4e-e77498c21496	None	Corine Land Cover 2006 seamless (vector) - version 16, Apr. 2012	None	None	None	None	None	CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/694cb6f7-fb61-47dc-8b4e-e77498c21496.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 16 (V4) (04/2012) Production date: April 15th, 2012 Release history: V4: 04/2012 - Upgraded version - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Small pieces of 523 class in Elbe estuaries has been repaired. - Reprojected CLC06 data for Malta are included. V3: 07/2011 - Upgraded version - Great Britain included - Sea buffer (25km) improved so they are consistent across all CLC layers A simplified border matching has been applied for CH, NO, KO, TR, IE : - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed - Version numbering changed to be consistent across all CLC layers - Contains data for 38 countries V2: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland and Northern Ireland included - Sea buffer (25km) improved so they are consistent across all CLC layers - No-data buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra area - Small gaps identified in v1 were repaired - Remaining neigbouring polygons with the same code, as identified in v1, were resolved - Contains 38 countries V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/694cb6f7-fb61-47dc-8b4e-e77498c21496	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2006_rev16	None	obsolete
2555a685-71d1-4211-8b97-ceaeaf1b926c	None	Corine Land Cover 2000 (raster 250m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2555a685-71d1-4211-8b97-ceaeaf1b926c.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 2000 vector v16 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2555a685-71d1-4211-8b97-ceaeaf1b926c	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2000_rev16	None	obsolete
8e50694b-39e9-41a3-b86c-f56815e446db	None	Corine Land Cover 1990 - 2000 changes (vector) - version 17, Dec. 2013	None	None	None	None	None	Corine Land Cover 1990 - 200 changes is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8e50694b-39e9-41a3-b86c-f56815e446db.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset. Simplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries V5: 07/2011 No changes between V4 and V5 Contains data for 28 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e50694b-39e9-41a3-b86c-f56815e446db	1990	2000	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_1990-2000_rev17	None	obsolete
cc23f0e0-07ca-43f8-871d-d3f3a29bfda4	None	Corine Land Cover 2006 (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc23f0e0-07ca-43f8-871d-d3f3a29bfda4.png	EPSG:3035	2019-06-04	None	None	None	grid	AIG	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres). Changes: Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc23f0e0-07ca-43f8-871d-d3f3a29bfda4	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2006_rev13	None	obsolete
4ead9faf-5732-4dd2-aaf1-4b10db063fe9	None	Corine Land Cover 1990 (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4ead9faf-5732-4dd2-aaf1-4b10db063fe9.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4ead9faf-5732-4dd2-aaf1-4b10db063fe9	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_1990_rev15	None	obsolete
702e2157-d9c9-4306-9d02-5d69b409b783	None	Corine Land Cover 2006 seamless (vector) - version 13, Feb. 2010	None	None	None	None	None	CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/702e2157-d9c9-4306-9d02-5d69b409b783.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/702e2157-d9c9-4306-9d02-5d69b409b783	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2006_rev13	None	obsolete
d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9	None	Corine Land Cover 1990 (raster 250m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6d6e5d2-d0dc-449c-a40e-12e5acfb35e9	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_1990_rev15	None	obsolete
e6960701-c379-462e-83df-12b8353d37ac	None	Corine Land Cover 2000 (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e6960701-c379-462e-83df-12b8353d37ac.png	EPSG:3035	2019-06-04	None	None	None	grid	AIG	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e6960701-c379-462e-83df-12b8353d37ac	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2000_rev13	None	obsolete
1b926b72-c950-4d52-b32e-003214895ce8	None	Common Database on Designated Areas (CDDA) polygons for public access - version 9, Nov. 2011	None	None	None	None	None	The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-5	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1b926b72-c950-4d52-b32e-003214895ce8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b926b72-c950-4d52-b32e-003214895ce8	2011	2011	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2011_rev9	None	superseded
842747d1-42c1-414b-9ce2-7c1eb9725c04	None	Corine Land Cover 1990 - 2000 changes (vector) - version 15, Aug. 2011	None	None	None	None	None	Corine Land Cover 1990 - 200 changes - version 15 (08/2011) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/842747d1-42c1-414b-9ce2-7c1eb9725c04.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/842747d1-42c1-414b-9ce2-7c1eb9725c04	1990	2000	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_1990-2000_rev15	None	obsolete
e70ca0e1-8fd4-494a-a86b-6222bdfc82b3	None	Corine Land Cover 2000 (raster 250m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e70ca0e1-8fd4-494a-a86b-6222bdfc82b3.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e70ca0e1-8fd4-494a-a86b-6222bdfc82b3	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2000_rev15	None	obsolete
f3da37b9-4635-406b-bbca-08e128f0aed5	None	Corine Land Cover 2006 (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2006-raster-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f3da37b9-4635-406b-bbca-08e128f0aed5.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2006 vector v16 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f3da37b9-4635-406b-bbca-08e128f0aed5	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2006_rev16	None	obsolete
4d10f510-e4e8-4f8a-bc11-e5eb9cc7c13b	None	Corine Land Cover 2000 - 2006 changes (vector) - version 13, Feb. 2010	None	None	None	None	None	CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-2006	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4d10f510-e4e8-4f8a-bc11-e5eb9cc7c13b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4d10f510-e4e8-4f8a-bc11-e5eb9cc7c13b	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_2000-2006_rev13	None	obsolete
570e7f43-b89c-492b-bb98-0c478332a3f1	None	Corine Land Cover 2006 seamless (vector) - version 17, Dec. 2013	None	None	None	None	None	CLC06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu	https://www.eea.europa.eu/data-and-maps/data/clc-2006-vector-data-version-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/570e7f43-b89c-492b-bb98-0c478332a3f1.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset. Simplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries V5: 07/2011 No changes between V4 and V5 Contains data for 28 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/570e7f43-b89c-492b-bb98-0c478332a3f1	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2006_rev17	None	obsolete
c70a3b67-1d4b-4b3e-b161-d5bb063995ea	None	Corine Land Cover 2006 (raster 250m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c70a3b67-1d4b-4b3e-b161-d5bb063995ea.png	EPSG:3035	2019-06-04	None	None	None	grid	AIG	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).Changes:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c70a3b67-1d4b-4b3e-b161-d5bb063995ea	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2006_rev13	None	obsolete
14db112a-f0dc-4624-95e0-69e3c1c9d81c	None	Corine Land Cover 2000 - 2006 changes (vector) - version 17, Dec. 2013	None	None	None	None	None	CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14db112a-f0dc-4624-95e0-69e3c1c9d81c.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset. Simplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries V5: 07/2011 No changes between V4 and V5 Contains data for 28 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14db112a-f0dc-4624-95e0-69e3c1c9d81c	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_2000-2006_rev17	None	obsolete
38068464-b303-4221-a7e5-fec4473c3267	None	Corine Land Cover 2000 (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/38068464-b303-4221-a7e5-fec4473c3267.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38068464-b303-4221-a7e5-fec4473c3267	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2000_rev15	None	obsolete
2ef6f33f-a1d3-40aa-b898-62dfc98f4223	None	Corine Land Cover 1990 (raster 250m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2ef6f33f-a1d3-40aa-b898-62dfc98f4223.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 1990 vector v16 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2ef6f33f-a1d3-40aa-b898-62dfc98f4223	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_1990_rev16	None	obsolete
a0e4af53-3ed6-440d-a690-7a3fa1793dce	None	Corine Land Cover 1990 (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0e4af53-3ed6-440d-a690-7a3fa1793dce.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 vector v16 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0e4af53-3ed6-440d-a690-7a3fa1793dce	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_1990_rev16	None	obsolete
f27e82cc-507c-4b7a-b4f3-b2917a7de492	None	Common Database on Designated Areas (CDDA) polygons for public access - version 10, Oct. 2012	None	None	None	None	None	The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA) and to Eurostat. The CDDA data can also be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Finland, Hungary, Ireland, Kosovo under UNSC Resolution 1244/99, Malta, the Netherlands, Romania, Slovenia, Spain and Turkey.	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-6	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f27e82cc-507c-4b7a-b4f3-b2917a7de492.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	In 2012 for inclusion into version 10 of the ECDDA; 32 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2012, which was extracted from the previous ECDDA dataset, version 9.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f27e82cc-507c-4b7a-b4f3-b2917a7de492	2012	2012	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Malta, the Netherlands, Romania, Spain and Turkey. Copyright has to be mentioned for Estonia (Estonian Environmental Register 22.02.2011. On-line resource linkage: www.keskkonnainfo.ee) and Finland (©Finnish Environment Institute, 2011).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-public_2012_rev10	None	superseded
dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1	None	Common Database on Designated Areas (CDDA) points for public access - version 9, Nov. 2011	None	None	None	None	None	The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.	https://www.eea.europa.eu/data-and-maps/data/nationally-designated-areas-national-cdda-5	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dafe9ad7-f2ed-469c-8ef6-e52a9e3f28e1	2011	2011	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-point-public_2011_rev9	None	superseded
699c0c6d-8f21-4949-b373-1fdaeb3f82ed	None	EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 100m	None	None	None	None	None	Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in aggregated spatial resolution (100 x 100 m).	https://www.eea.europa.eu/data-and-maps/data/eea-fast-track-service-precursor-on-land-monitoring-degree-of-soil-sealing	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/699c0c6d-8f21-4949-b373-1fdaeb3f82ed.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Documentation about the method used can be downloaded from the resource location.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/699c0c6d-8f21-4949-b373-1fdaeb3f82ed	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_mosaic-sealing_2006_rev2	None	obsolete
28740d7e-7892-4910-b1c9-185dbff86cf0	None	Corine Land Cover 2000 seamless (vector) - version 15, Aug. 2011	None	None	None	None	None	CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28740d7e-7892-4910-b1c9-185dbff86cf0.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28740d7e-7892-4910-b1c9-185dbff86cf0	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2000_rev15	None	obsolete
92f84de3-1ff9-438b-bd89-9d89ec0bddfd	None	Corine Land Cover 2000 seamless (vector) - version 13, Feb. 2010	None	None	None	None	None	CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92f84de3-1ff9-438b-bd89-9d89ec0bddfd.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92f84de3-1ff9-438b-bd89-9d89ec0bddfd	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2000_rev13	None	obsolete
3be396a5-dded-4492-a620-f42d9f4aba5c	None	WISE River basin districts (RBD) - version 1.4, Jun. 2011	None	None	None	None	None	River Basin Districts (RBDs) and/or their subunits are the main units for the management of river basins and have been delineated by Member States under Article 3 of the Water Framework Directive. The geographic area of some RBDs span more than one country (such as the Danube) and these are known as International RBDs. Others are contained completely within a country and are known as National RBDs. River basin districts are defined as the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. Coastal waters are defined as one nautical mile from the coastline and extending, where appropriate, up to the outer limit of transitional waters. Coastal waters are included in RBDs, but this is not consistenly reported by Member States. Transitional waters are defined as bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. For more information about European waters, please visit the WISE portal (http://water.europa.eu/).	https://www.eea.europa.eu/data-and-maps/data/wise-river-basin-districts-rbds-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3be396a5-dded-4492-a620-f42d9f4aba5c.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:250000	None	Refer to pdf document eea_v_3035_250_k_rbd-f1v4_2011_rev1-4_dataset_lineage.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3be396a5-dded-4492-a620-f42d9f4aba5c	2011	2011	FALSE	Area management/restriction/regulation zones and reporting units|Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_rbd-f1v4_2011_rev1-4	None	obsolete
adae6022-3cf0-4e07-8d76-f9bd2c38084b	None	Corine Land Cover 2000 - 2006 changes (vector) - version 15, Aug. 2011	None	None	None	None	None	CHA06 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 2000 and 2006. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/adae6022-3cf0-4e07-8d76-f9bd2c38084b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/adae6022-3cf0-4e07-8d76-f9bd2c38084b	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_2000-2006_rev15	None	obsolete
5274379e-eb22-435d-b3d2-248dabca794c	None	Corine Land Cover 2000 (raster 250m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5274379e-eb22-435d-b3d2-248dabca794c.png	EPSG:3035	2019-06-04	None	None	None	grid	AIG	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).Changes:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5274379e-eb22-435d-b3d2-248dabca794c	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2000_rev13	None	obsolete
fa92e450-c5cb-4796-b77c-ddb248203672	None	Corine Land Cover 2000 seamless (vector) - version 16, Apr. 2012	None	None	None	None	None	CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-clc2000-seamless-vector-database-4	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa92e450-c5cb-4796-b77c-ddb248203672.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Reprojected CLC00 data for Malta are included. V5: 07/2011 - Upgraded version - Sea buffer between clc00 and clc06 harmonized - Contains data for 39 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands, Switzerland, Iceland included - Sea buffer (25km) improved so they are consistent across all CLC layers - No-data buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra area - Small gaps identified in v3 were repaired - Remaining neigbouring polygons with the same code, as identified in v3, were resolved - Contains data for 39 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa92e450-c5cb-4796-b77c-ddb248203672	2000	2000	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2000_rev16	None	obsolete
81e4b1e5-e717-49c6-b4c8-511ee36c7b48	None	Corine Land Cover 1990 - 2000 changes (vector) - version 16, Apr. 2012	None	None	None	None	None	Corine Land Cover 1990 - 200 changes - version 15 (08/2011) is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use changes between year 1990 and 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu/	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81e4b1e5-e717-49c6-b4c8-511ee36c7b48.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 (changes 1990-2000) and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries V5: 07/2011 No changes between V4 and V5 Contains data for 28 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81e4b1e5-e717-49c6-b4c8-511ee36c7b48	1990	2000	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_1990-2000_rev16	None	obsolete
3158100a-40d1-4cc5-bc4e-7a6900363e6d	None	Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-2006	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3158100a-40d1-4cc5-bc4e-7a6900363e6d.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3158100a-40d1-4cc5-bc4e-7a6900363e6d	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_2000-2006_rev13	None	obsolete
c5663efa-601b-4989-8e56-112ff709eaa0	None	EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 20m	None	None	None	None	None	Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (20 x 20 m).	https://www.eea.europa.eu/data-and-maps/data/eea-fast-track-service-precursor-on-land-monitoring-degree-of-soil-sealing	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c5663efa-601b-4989-8e56-112ff709eaa0.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	20m	None	Documentation about the method used can be downloaded from the resource location.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c5663efa-601b-4989-8e56-112ff709eaa0	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_20_m_mosaic-sealing_2006_rev2	None	obsolete
22ee6af6-1d47-4335-b495-5da4f4159fe2	None	Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-2006	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/22ee6af6-1d47-4335-b495-5da4f4159fe2.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/22ee6af6-1d47-4335-b495-5da4f4159fe2	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev13	None	obsolete
3e2ff175-f15b-4ba0-a866-cc8cd7e9673b	None	Corine Land Cover 1990 (raster 250m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3e2ff175-f15b-4ba0-a866-cc8cd7e9673b.png	EPSG:3035	2019-06-04	None	None	None	grid	AIG	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e2ff175-f15b-4ba0-a866-cc8cd7e9673b	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_1990_rev13	None	obsolete
e4bb8352-4e94-439b-aa45-43f5c99cb38a	None	Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 13, Feb. 2010	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e4bb8352-4e94-439b-aa45-43f5c99cb38a.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).CHANGES:Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e4bb8352-4e94-439b-aa45-43f5c99cb38a	1990	2000	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev13	None	obsolete
87a1e572-e9fa-4090-803a-eb576ddff644	None	Corine Land Cover 2006 (raster 100m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/87a1e572-e9fa-4090-803a-eb576ddff644.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres). Changes: Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87a1e572-e9fa-4090-803a-eb576ddff644	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2006_rev15	None	obsolete
fa4f3b2d-e4a6-461c-8094-1c089c7e16d7	None	Urban Morphological Zones 2000 (vector) - version 13, Apr. 2010	None	None	None	None	None	A UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2000, version 13, by means of a complex methodology explained below.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa4f3b2d-e4a6-461c-8094-1c089c7e16d7.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Methodology description: UMZ 2000 dataset derives from Corine Land Cover 2000 raster. Urban classes are selected from CLC2000 and applying some criteria are merged to build up UMZs. Airports have been included within urban classes. Some iteration done in the third process step. For more details see process steps detailed below. Changes: None Publish status: Ready for publish process steps Description: Reclassification of Corine Land Cover 2000 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. Description: Vectorisation of each reclassified set Description: Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. Description: Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. Description: Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. Description: Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. Description: Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. Description: Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal Description: Elimination of polygons below 25 ha. (CLC limit). Result: UMZ2000	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa4f3b2d-e4a6-461c-8094-1c089c7e16d7	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_2000_rev13	None	superseded
4b87a0ed-be1b-4a66-b813-23321397e3fa	None	Urban Morphological Zones Changes between 1990 and 2000 (vector) - version 13, Apr. 2010	None	None	None	None	None	Changes between UMZs in 1990 and UMZs in 2000 using CLC version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4b87a0ed-be1b-4a66-b813-23321397e3fa.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Methodology description: UMZ Changes have been calculated by unioning UMZ1990 and UMZ2000 layers and removing all areas which were UMZ in both years. The remaining polygons are considered as positive changes when they are new UMZ areas in 2000 and not in 1990 and negative changes when it was UMZ in 1990 and not in 2000. Changes: no changes applied Publish status: Ready for publish process steps Description: Unioning of UMZ1990 and UMZ2000 Description: Selection of areas being UMZ in 1990 or in 2000. Removal of areas being UMZ in both years (i.e. no changes) Description: Creation of the attribute "Change", which define positive changes when they are new UMZ areas in 2000 and negative changes when it was UMZ in 1990 and not in 2000.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4b87a0ed-be1b-4a66-b813-23321397e3fa	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz-changes_1990-2000_rev13	None	superseded
94ed59be-4715-44e9-8c51-165fc337272f	None	Common Database on Designated Areas (CDDA) 250m raster - version 8, Jun. 2010	None	None	None	None	None	Consolidated raster containing the original CDDA polygons.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94ed59be-4715-44e9-8c51-165fc337272f.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	This dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones. process steps Description: Rasterisation Resource name: CDDA_2009_polygon_Merge.shp Resource date: 20091021	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94ed59be-4715-44e9-8c51-165fc337272f	None	None	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_cdda_2009_rev8	None	superseded
6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3	None	Common Database on Designated Areas (CDDA) points for internal use - version 9, Nov. 2011	None	None	None	None	None	The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b989d8b-9bc5-4a22-98a3-a0f202e5b0b3	None	None	FALSE	Protected sites	Data from some MS not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-point-internal_2011_rev9	None	superseded
abf75ccc-f95e-4a0c-bca4-5049927584d5	None	Corine Land Cover 1990 European seamless (vector) - version 15, Aug. 2011	None	None	None	None	None	CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/abf75ccc-f95e-4a0c-bca4-5049927584d5.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abf75ccc-f95e-4a0c-bca4-5049927584d5	None	None	FALSE	Land cover	CLC1990 vector data cannot be disseminated. For internal use only.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_1990_rev15	None	obsolete
7526b6e0-a7a8-4e24-9990-3a0fce9fe7ec	None	Common Database on Designated Areas (CDDA) 1km raster - version 8, Jun. 2010	None	None	None	None	None	Consolidated raster containing the original CDDA polygons.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7526b6e0-a7a8-4e24-9990-3a0fce9fe7ec.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	1000m	None	This dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones. process steps Description: Rasterisation Resource name: CDDA_2009_polygon_Merge.shp Resource date: 20091021	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7526b6e0-a7a8-4e24-9990-3a0fce9fe7ec	2009	2009	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_cdda_2009_rev8	None	superseded
b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae	None	Common Database on Designated Areas (CDDA) polygons - version 8, Oct. 2009	None	None	None	None	None	ECDDA polygon dataset. Geographical extent covers covers Europe, Russia, Central Asia, Greenland, French DOM-TOM & COM. Polygon data of nationally designated areas.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Data from 49 countries was compiled. Spatial data from 28 countries was delivered in 2009, the boundaries from the remaining 21 countries were extracted from the WDPA site (http://www.wdpa.org/). The data delivered in 2009 was reprojected from native projections to ETRS LAEA 5210, subsequent to this the data was checked for geometry validation, whether they lie within the Member State, whether the sitecode is present etc. The polygon data from each Member state was merged to form a European wide dataset. The projection is ETRS LAEA 5210	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3f3de7f-1b0a-4230-a0b1-e56859b1a7ae	2009	2009	FALSE	Protected sites	Data from some MS not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda_2009_rev8	None	superseded
23a9d577-f875-4acf-8634-a77241a71176	None	Corine Land Cover 1990 European seamless (vector) - version 16, Apr. 2012	None	None	None	None	None	CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/23a9d577-f875-4acf-8634-a77241a71176.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 16 (V6) (04/2012) Production date: April 15th, 2012 Release history: V6: 04/2012 - Upgraded version - New country - Turkey has been added. - Erroneously classiffied polygon on DE/BE boundary has been repaired. - Sea buffers around CLC data were improved so they are consistent accross all CLC layers. - Reprojected CLC90 data for Malta are included. V5: 07/2011 - No changes between V4 and V5 - Contains data for 27 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Sea buffer (25km) improved so they are consistent across all CLC layers - Nodata buffer (code 999) outside of valid data area was deleted. Value 999 is acepted only for Andorra, Bosnia and Hercegovina and Switzerland areas - Small gaps identified in v3 were repaired - Remaining neigbouring polygons with the same code, as identified in v2, were resolved - Contains 27 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23a9d577-f875-4acf-8634-a77241a71176	1990	1990	FALSE	Land cover	CLC1990 vector data cannot be disseminated. For internal use only.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_1990_rev16	None	obsolete
c45f5dbd-4711-4436-8634-e4fe40597fb7	None	Urban Morphological Zones 2006 (vector) - version 13, Apr. 2010	None	None	None	None	None	A UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2006, version 13, by means of a complex methodology explained below.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c45f5dbd-4711-4436-8634-e4fe40597fb7.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Methodology description: UMZ 2006 dataset derives from Corine Land Cover 2006 raster. Urban classes are selected from CLC2006 and applying some criteria are merged to build up UMZs. Airports have been included within urban classes. Some iteration done in the third process step. For more details see process steps detailed below. Changes: None Publish status: Ready for publish process steps Description: Reclassification of Corine Land Cover 2006 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. Description: Vectorisation of each reclassified set Description: Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. Description: Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. Description: Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. Description: Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. Description: Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. Description: Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal Description: Elimination of polygons below 25 ha. (CLC limit). Result: UMZ2006	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c45f5dbd-4711-4436-8634-e4fe40597fb7	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_2006_rev13	None	superseded
2423ec9b-26c8-42fa-91ef-e5a43afe0fee	None	Corine Land Cover 2006 (raster 250m) - version 15, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2423ec9b-26c8-42fa-91ef-e5a43afe0fee.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres). Changes: Version 13 (02/2010) Production date: February 16th, 2010 This is the 13th CLC grid update and 5nd version containing also data from CLC2006 update (36 countries - only UK, CH and GR data still missing from complete CLC2006 coverage). Changes from previous releases: version 13 (02/2010) - 7 new countries added to CLC2006 layers (DE, ES, FI, IT, NO, SE, TR), reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_00.tif - consumption CLC2000 code in changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_06.tif - formation CLC2006 code in changed areas (change 2000-2006) in 100m grid resolution - 1 new countries added to CLC2000 layers (TR) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC2000 (NO - update of previous version from national team) reflected in particular in lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution - sea/ocean (gridcode 44) and unclassified land (gridcode 49) added to all status layers in order to have consistent sea/ocean coverage over all datasets reflected in particular in lceugr100_06 directory: lceugr100_06.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06.tif - CLC2006 status data in 250m grid resolution lceugr100_00 directory: lceugr100_00.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00.tif - CLC2000 status data in 250m grid resolution lceugr100_90 directory: lceugr100_90.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90.tif - CLC1990 status data in 250m grid resolution version 12 (09/2009) - 9 new countries added to CLC2006 layers (AT, BE, DK, HU, IS, LI, MK, MT, PT), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 2 new countries added to CLC2000 layers (IS,NO) 1 country updated in CLC2000 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country updated in CLC1990 (MT) due to changed geometry in CLC2006 delivery reflected in particular in lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 1 country added in CLC1990 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_90 directory: lceugr100_90_pct.tif - CLC1990 status data in 100m grid resolution lceugr250_90 directory: lceugr250_90_pct.tif - CLC1990 status data in 250m grid resolution - 1 country added in CHANGE9000 (MT) - delivered as part of CLC2006 delivery reflected in particular in lceugr100_cha00 directory: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution version 11 (03/2009) - 11 new countries added to CLC2006 layers (AL, BA, CZ, FR, HR, IE, KV, ME, MK, PL, RS, SK), in particular to lceugr100_06 directory: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1 new country added to CLC2000 layers (KV), in particular to lceugr100_00 directory: lceugr100_00_pct.tif - CLC2000 status data in 100m grid resolution lceugr250_00 directory: lceugr250_00_pct.tif - CLC2000 status data in 250m grid resolution - 16 tecnical change polygons corrected (technical no-change polygons deleted) for 2000-2006 change layers, in particular for LT, LU, LV, SI fixed in lceugr100_cha06 directory: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution version 10 - new clc grids has been added for first available CLC2006 countries (BG, EE, LV, LT, LU, NL, RO, SI) lceugr100_06 directory contains: lceugr100_06_pct.tif - CLC2006 status data in 100m grid resolution lceugr250_06 directory contains: lceugr250_06_pct.tif - CLC2006 status data in 250m grid resolution lceugr100_cha06 directory contains: lceugr100_cha06_06_pct.tif - CLC2006 status of changed areas (change 2000-2006) in 100m grid resolution lceugr100_cha06_00_pct.tif - CLC2000 status of changed areas (change 2000-2006) in 100m grid resolution - 1990-2000 change data (both directory and files) has been renamed to distinguish CLC2000 and CLC2006 change datasets. lceugr100_cha00 directory contains: lceugr100_cha00_00_pct.tif - CLC2000 status of changed areas (change 1990-2000) in 100m grid resolution lceugr100_cha00_90_pct.tif - CLC1990 status of changed areas (change 1990-2000) in 100m grid resolution - LCF grid removed from delivery version 09.1 - new clc grids has been added (lceugr100_change directory) in addition to LCF grid lceugr100_ch00_pct.tif - CLC2000 status of changed areas in 100m grid resolution lceugr100_ch90_pct.tif - CLC1990 status of changed areas in 100m grid resolution version 09 - Serbia and Montenegro data added into CLC90, CLC00 and CHANG(LCF) grids (output from CARDS project) - new version of color specifications included (*.lyr files). Works properly for ArcGIS9.2+version only as any raster symbology didn't work for pre-ArGIS9.2 releases. version 08 - clc change grid included based on LCF definition - PCT table have been edited to include colors specification for relevant values only - new legend files included (*.xls) - new color specifications included (*.lyr files) version 07 - second release based on seamless CLC data including country border harmonization - also CLC90 data are border harmonized version 06 - first release based on seamless CLC data including country border harmonization - Ireland geometry have been improved (~20m shift) version 05 - new countries added Albania, data added to 100_00, 250_00 *1996, but data considered as 2000 Bosnia-Herzegovina, data added to 100_00, 250_00 *1998, but data considered as 2000 Croatia, 100_00, 100_90, 250_00, 250_90 North Macedonia, 100_00, 250_00 *1996, but data considered as 2000 United Kingdom, 100_00, 250_00 version 04 - harmonized with standard EEA reference grids (08 Apr 2005) - The former unclassified land areas (value 49) and ocean and sea (value 50) values have been assigned into NODATA values. The former version including unclassified land areas (value 49) and ocean, sea and the unclassified sea (value 50) is released separately as LCEUGRIDS_V4_WITH_BACK. This differentiation has been introduced in order to support better both analytical and presentation purposes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2423ec9b-26c8-42fa-91ef-e5a43afe0fee	2006	2006	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2006_rev15	None	obsolete
39da3d89-f177-40f0-8f50-f10b10187dea	None	Common Database on Designated Areas (CDDA) polygons for internal use - version 9, Nov. 2011	None	None	None	None	None	The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/39da3d89-f177-40f0-8f50-f10b10187dea.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	In 2011 for inclusion into version 9 of the CDDA, 28 countries delivered descriptive data, 24 of these additionally delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data, for those countries that did not submit data in 2011, which was extracted from the previous CDDA dataset, version 8.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/39da3d89-f177-40f0-8f50-f10b10187dea	2011	2011	FALSE	Protected sites	Data from some MS not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2011_rev9	None	superseded
247db2ac-1881-41c9-b8e9-2a1fb4f98447	None	Corine Land Cover 1990 European seamless (vector) - version 17, Dec. 2013	None	None	None	None	None	CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/247db2ac-1881-41c9-b8e9-2a1fb4f98447.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset. Simplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries V5: 07/2011 No changes between V4 and V5 Contains data for 28 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/247db2ac-1881-41c9-b8e9-2a1fb4f98447	1990	1990	FALSE	Land cover	CLC1990 vector data cannot be disseminated. For internal use only.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_1990_rev17	None	obsolete
c13ea28b-7054-4b17-afce-697298b7d966	None	Common Database on Designated Areas (CDDA) 100m raster - version 8, Jun. 2010	None	None	None	None	None	Consolidated raster containing the original CDDA polygons.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c13ea28b-7054-4b17-afce-697298b7d966.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	This dataset was built from the original CDDA vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not CDDA sites under each specific pixel zones. process steps Description: Rasterisation Resource name: CDDA_2009_polygon_Merge.shp Resource date: 20091021	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c13ea28b-7054-4b17-afce-697298b7d966	2009	2009	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_cdda_2009_rev8	None	superseded
8c2a3ded-9ccb-472d-99d2-30f11107b10c	None	Corine Land Cover 1990 European seamless (vector) - version 13, Feb. 2010	None	None	None	None	None	CLC90 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 1990. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c2a3ded-9ccb-472d-99d2-30f11107b10c.png	EPSG:3035	2019-06-04	None	None	None	vector	FGeo	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 and CLC06 datasets. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES: Version 1 (04/2010) Production date: April 14th, 2010 Contents of the dataset is consistent with LCEUGRID release v13 (02/2010) Release history: V1: 04/2010 - First release - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - contains 36 countries - Sea buffer (25km) introduced	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c2a3ded-9ccb-472d-99d2-30f11107b10c	1990	1990	FALSE	Land cover	CLC1990 vector data cannot be disseminated. For internal use only.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_1990_rev13	None	obsolete
a566e4af-06cd-4c55-ac15-c943ac2fa2a8	None	Common Database on Designated Areas (CDDA) polygons for internal use - version 10, Oct. 2012	None	None	None	None	None	The European inventory of nationally designated areas holds information about protected sites and about the national legislative instruments, which directly or indirectly create protected areas.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a566e4af-06cd-4c55-ac15-c943ac2fa2a8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	In 2012 for inclusion into version 10 of the ECDDA; 32 countries delivered tabular data and 31 countries delivered spatial data. These datasets were subjected to a series of quality control and quality assurance (QA/AC) checks. Once the data passed these tests it was combined with data for those countries that did not submit data in 2012, which was extracted from the previous ECDDA dataset, version 9.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a566e4af-06cd-4c55-ac15-c943ac2fa2a8	2012	2012	FALSE	Protected sites	Data from some MS not for dissemination. EEA does not have permission to distribute some or all sites reported by Austria, Bulgaria, Estonia, Ireland, Malta, the Netherlands, Romania, Spain and Turkey. Copyright has to be mentioned for Estonia (Estonian Environmental Register 22.02.2011. On-line resource linkage: www.keskkonnainfo.ee) and Finland (©Finnish Environment Institute, 2011).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly-internal_2012_rev10	None	superseded
8226b910-c3d6-44c6-99da-555788fb8c77	None	Urban Morphological Zones 1990 (vector) - version 13, Apr. 2010	None	None	None	None	None	A UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 1990, version 13, by means of a complex methodology explained below.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8226b910-c3d6-44c6-99da-555788fb8c77.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	process steps Description: Reclassification of Corine Land Cover 1990 100m raster in the following way: 1- Core urban areas: 111 (Continuous urban fabric), 112 (Discontinuous urban fabric), 121 (Industrial or commercial units), 141 (Green urban areas). 2- Ports, airports and sport facilities: 123 (Port areas), 124 (Airports), 142 (Sport and leisure facilities). 3- Transportation and rivers: 122 (Road and rail networks), 511 (Water courses). 4- Forests & scrub: 311,312,313,322,323,324. Description: Vectorisation of each reclassified set Description: Addition of ports, airports and sport facilities to the core classes: They are selected if they are neighbours to the core classes. This process is done iteratively until all polygons are selected. Once selected, they are merged with the core classes to built-up the enlarged core classes. Description: Addition of roads, railways and rivers to the enlarged core classes: selection by neighbourhood to the enlarged core classes of roads, railways and rivers. Clip by 300m buffer around the enlarged core classes. Merge of selected and clipped roads, railways and rivers to the enlarged core classes. Description: Addition of forest and scrub classes fully within the core classes: selection of forest and scrub classes fully within the urban core classes, and merge of selected features. Description: Rasterisation (100m resolution) of the features obtained after previous steps. Result: Pre-UMZ raster. Description: Expansion by 1 pixel (100m) of pre-UMZ raster, in order to connect urban areas lying less than 200m apart. Description: Shrinking by 1 pixel (100m) of the expanded raster. Vectorisation of resulting raster. Result:UMZ_preFinal Description: Elimination of polygons below 25 ha. (CLC limit). Result: UMZ1990	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8226b910-c3d6-44c6-99da-555788fb8c77	1990	1990	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_1990_rev13	None	superseded
e20aecd3-8a23-4481-9662-73fe8e4dceaa	None	Urban Morphological Zones Changes between 2000 and 2006 (vector) - version 13, Apr. 2010	None	None	None	None	None	Changes between UMZs in 2000 and UMZs in 2006 using CLC version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e20aecd3-8a23-4481-9662-73fe8e4dceaa.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Methodology description: UMZ Changes have been calculated by unioning UMZ2000 and UMZ2006 layers and removing all areas which were UMZ in both years. The remaining polygons are considered as positive changes when they are new UMZ areas in 2006 and not in 2000 and negative changes when it was UMZ in 2000 and not in 2006. Changes: no changes applied Publish status: Ready for publish process steps Description: Unioning of UMZ2000 and UMZ2006 Description: Selection of areas being UMZ in 2000 or in 2006. Removal of areas being UMZ in both years (i.e. no changes) Description: Creation of the attribute "Change", which define positive changes when they are new UMZ areas in 2006 and negative changes when it was UMZ in 2000 and not in 2006.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e20aecd3-8a23-4481-9662-73fe8e4dceaa	2000	2006	TRUE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz-changes_2000-2006_rev13	None	superseded
50a2e429-75da-4209-9f8a-c828a4ac2d4c	None	EEA reference grid for Iceland (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50a2e429-75da-4209-9f8a-c828a4ac2d4c.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50a2e429-75da-4209-9f8a-c828a4ac2d4c	None	None	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-is_2011	None	obsolete
89f49357-ac68-4293-86f8-1e64da2ab7fb	None	EEA reference grid for Austria (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89f49357-ac68-4293-86f8-1e64da2ab7fb.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89f49357-ac68-4293-86f8-1e64da2ab7fb	None	None	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-at_2011	None	obsolete
cc3eadf2-fed8-4262-99ef-bd639ade1eb8	None	Natura 2000 (vector) 100 k - end 2011	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database. The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Czech Republic, Finland, Germany, Ireland, Latvia, Luxembourg, Malta, Romania, Slovakia, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. Certain descriptive fields, possibly mentioning the presence of these species, have also been removed. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	https://www.eea.europa.eu/data-and-maps/data/natura-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc3eadf2-fed8-4262-99ef-bd639ade1eb8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Member States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc3eadf2-fed8-4262-99ef-bd639ade1eb8	None	None	FALSE	Protected sites	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2011	None	superseded
bfd48dec-2424-421b-81fc-19021ef81c46	None	EEA reference grid for Serbia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bfd48dec-2424-421b-81fc-19021ef81c46.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bfd48dec-2424-421b-81fc-19021ef81c46	None	None	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-rs_2011	None	obsolete
ee91f323-b845-4a6b-ade4-f3c354c6ed07	None	EEA reference grid for Azores (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee91f323-b845-4a6b-ade4-f3c354c6ed07.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee91f323-b845-4a6b-ade4-f3c354c6ed07	None	None	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pt-20_2011	None	obsolete
6e6af1af-3fd4-4cca-949f-f6839ef99871	None	EEA reference grid for Cyprus (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e6af1af-3fd4-4cca-949f-f6839ef99871.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e6af1af-3fd4-4cca-949f-f6839ef99871	None	None	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-cy_2011	None	obsolete
7de2fa27-e9a5-4ebf-a7ba-825039c1d95c	None	EEA reference grid for Luxembourg (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7de2fa27-e9a5-4ebf-a7ba-825039c1d95c.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7de2fa27-e9a5-4ebf-a7ba-825039c1d95c	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-lu_2011	None	obsolete
f11d6b89-1a13-46b7-b900-a6629539f353	None	EEA reference grid for Latvia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f11d6b89-1a13-46b7-b900-a6629539f353.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f11d6b89-1a13-46b7-b900-a6629539f353	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-lv_2011	None	obsolete
acc58574-941b-48c3-acfb-64461daf0dca	None	EEA reference grid for Slovakia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/acc58574-941b-48c3-acfb-64461daf0dca.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acc58574-941b-48c3-acfb-64461daf0dca	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-sk_2011	None	obsolete
1808bf4b-761f-4ffd-a000-dececbda5e0e	None	EEA reference grid for Greece (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1808bf4b-761f-4ffd-a000-dececbda5e0e.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1808bf4b-761f-4ffd-a000-dececbda5e0e	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-gr_2011	None	obsolete
9e80fdac-a518-462b-942b-82701035c079	None	EEA reference grid for Czech Republic (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e80fdac-a518-462b-942b-82701035c079.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e80fdac-a518-462b-942b-82701035c079	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-cz_2011	None	obsolete
89ee806c-5804-40a6-a011-44a4b96478d9	None	EEA reference grid for Switzerland (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89ee806c-5804-40a6-a011-44a4b96478d9.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89ee806c-5804-40a6-a011-44a4b96478d9	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ch_2011	None	obsolete
ac3b8096-757f-42fc-a0c8-d7953e7e3f48	None	EEA reference grid for United Kingdom (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac3b8096-757f-42fc-a0c8-d7953e7e3f48.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b8096-757f-42fc-a0c8-d7953e7e3f48	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-gb_2011	None	obsolete
7d7153c4-3d31-4ec6-ae64-db53afe95798	None	EEA reference grid for Liechtenstein (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7d7153c4-3d31-4ec6-ae64-db53afe95798.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7d7153c4-3d31-4ec6-ae64-db53afe95798	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-li_2011	None	obsolete
53ca956f-fefa-4c60-807c-8b6c6d4e5a0d	None	EEA reference grid for Czech Republic (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53ca956f-fefa-4c60-807c-8b6c6d4e5a0d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53ca956f-fefa-4c60-807c-8b6c6d4e5a0d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-cz_2011	None	obsolete
0af259f3-e0ce-49a2-a442-59a6538c5a54	None	EEA reference grid for Gibraltar (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0af259f3-e0ce-49a2-a442-59a6538c5a54.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af259f3-e0ce-49a2-a442-59a6538c5a54	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-gi_2011	None	obsolete
ad349ff5-1683-4e06-8892-7ed00fdcacde	None	EEA reference grid for Netherlands (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad349ff5-1683-4e06-8892-7ed00fdcacde.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad349ff5-1683-4e06-8892-7ed00fdcacde	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-nl_2011	None	obsolete
b0a22226-80a3-4d9b-babb-789e57f8c05d	None	EEA reference grid for United Kingdom (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0a22226-80a3-4d9b-babb-789e57f8c05d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0a22226-80a3-4d9b-babb-789e57f8c05d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-gb_2011	None	obsolete
fa2d05bc-208b-4a46-b400-6f01fed47c24	None	EEA reference grid for Bosnia and Herzegovina (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa2d05bc-208b-4a46-b400-6f01fed47c24.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa2d05bc-208b-4a46-b400-6f01fed47c24	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ba_2011	None	obsolete
59ed0aa1-a464-446b-a960-36df73e2a803	None	EEA reference grid for Austria (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/59ed0aa1-a464-446b-a960-36df73e2a803.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59ed0aa1-a464-446b-a960-36df73e2a803	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-at_2011	None	obsolete
059d02f7-df51-45ad-adfd-d46fc3f4ee88	None	EEA reference grid for Norway (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/059d02f7-df51-45ad-adfd-d46fc3f4ee88.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/059d02f7-df51-45ad-adfd-d46fc3f4ee88	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-no_2011	None	obsolete
93315b78-089d-43a5-ac76-b3df627b2e4c	None	EEA reference grid for United Kingdom (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/93315b78-089d-43a5-ac76-b3df627b2e4c.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/93315b78-089d-43a5-ac76-b3df627b2e4c	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-gb_2011	None	obsolete
956f2e84-6461-4025-b948-9e3e47972b83	None	EEA reference grid for Poland (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/956f2e84-6461-4025-b948-9e3e47972b83.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956f2e84-6461-4025-b948-9e3e47972b83	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pl_2011	None	obsolete
bdcc81d5-4530-4071-b2c5-268bf49a9838	None	EEA reference grid for Finland (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bdcc81d5-4530-4071-b2c5-268bf49a9838.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bdcc81d5-4530-4071-b2c5-268bf49a9838	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-fi_2011	None	obsolete
48251637-b2f3-41af-8a9e-c11fe61490c8	None	EEA reference grid for Latvia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48251637-b2f3-41af-8a9e-c11fe61490c8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48251637-b2f3-41af-8a9e-c11fe61490c8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-lv_2011	None	obsolete
7ea4e07b-dc2d-41cf-b124-1f784c78ccf3	None	EEA reference grid for Malta (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-mt_2011	None	obsolete
fbd91951-43eb-4718-bccc-2b06f7a49c46	None	EEA reference grid for Madeira (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbd91951-43eb-4718-bccc-2b06f7a49c46.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbd91951-43eb-4718-bccc-2b06f7a49c46	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pt-30_2011	None	obsolete
0046e069-1b48-4fb5-90e5-2f2793789f7d	None	EEA reference grid for Gibraltar (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0046e069-1b48-4fb5-90e5-2f2793789f7d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0046e069-1b48-4fb5-90e5-2f2793789f7d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-gi_2011	None	obsolete
89724da0-e2be-43e3-b5bc-456fda03e3b1	None	EEA reference grid for Montenegro (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89724da0-e2be-43e3-b5bc-456fda03e3b1.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89724da0-e2be-43e3-b5bc-456fda03e3b1	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-me_2011	None	obsolete
647133d3-3e09-4f8a-aa1d-8fe9b6f57993	None	EEA reference grid for Hungary (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/647133d3-3e09-4f8a-aa1d-8fe9b6f57993.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/647133d3-3e09-4f8a-aa1d-8fe9b6f57993	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-hu_2011	None	obsolete
844b1ad2-e6d8-4ab4-91a5-57eafa4e8589	None	EEA reference grid for North Macedonia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-mk_2011	None	obsolete
b4013417-6075-4b9a-94cd-6514e87e9cec	None	Conservation status of habitat types 2001-2006	None	None	None	None	None	Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2001 to 2006. The data covers the EU 25. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.	https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b4013417-6075-4b9a-94cd-6514e87e9cec.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:10000000	None	The Member State supplied distribution was gridded to 10km or equivalent grids. This was due to the extreme heterogeneity of the supplied data. The data set covers the EU 25 (Terrestrial and Marine) and corresponds to the period 2001 to 2006. The data was supplied during the Article 17 (Habitats Directive 92/43/EEC) reporting process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b4013417-6075-4b9a-94cd-6514e87e9cec	2001	2006	TRUE	Habitats and biotopes	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-hab_2001-2006	None	superseded
0d3fae51-1873-4f46-acb5-5cd2e2ad2544	None	EEA reference grid for Kosovo (UNSCR 1244/99) (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d3fae51-1873-4f46-acb5-5cd2e2ad2544.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d3fae51-1873-4f46-acb5-5cd2e2ad2544	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-xk_2011	None	obsolete
bc1d2383-e126-4982-b626-74396213d38d	None	EEA reference grid for Italy (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bc1d2383-e126-4982-b626-74396213d38d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc1d2383-e126-4982-b626-74396213d38d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-it_2011	None	obsolete
3f46582f-f938-4ff6-b8a0-0f1db2209729	None	EEA reference grid for Romania (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f46582f-f938-4ff6-b8a0-0f1db2209729.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f46582f-f938-4ff6-b8a0-0f1db2209729	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ro_2011	None	obsolete
1e72c34c-32cc-4e8f-a668-8fe5ac40ec6d	None	EEA reference grid for Cyprus (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-cy_2011	None	obsolete
494c3ca7-1b2a-4ed7-939a-f56cdb2ee63b	None	EEA reference grid for Iceland (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63b	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-is_2011	None	obsolete
3901f1f7-e3a9-4a23-8c51-82fefeac378a	None	EEA reference grid for Poland (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3901f1f7-e3a9-4a23-8c51-82fefeac378a.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3901f1f7-e3a9-4a23-8c51-82fefeac378a	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pl_2011	None	obsolete
ca27341a-b100-4466-92b6-ba13912c6f36	None	EEA reference grid for Madeira (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ca27341a-b100-4466-92b6-ba13912c6f36.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ca27341a-b100-4466-92b6-ba13912c6f36	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pt-30_2011	None	obsolete
f9447505-c78c-4abe-9f8a-9e8fc78175c1	None	EEA reference grid for Hungary (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9447505-c78c-4abe-9f8a-9e8fc78175c1.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9447505-c78c-4abe-9f8a-9e8fc78175c1	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-hu_2011	None	obsolete
2d8fc6d2-c551-4d2d-99f3-93c1f3099dcf	None	EEA reference grid for Canary Islands (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcf.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcf	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ic_2011	None	obsolete
56d8dbbb-79b4-4859-acea-355ed9dc449a	None	EEA reference grid for Slovakia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56d8dbbb-79b4-4859-acea-355ed9dc449a.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56d8dbbb-79b4-4859-acea-355ed9dc449a	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-sk_2011	None	obsolete
94b66808-26c4-44fa-8f16-caaf8be09b67	None	EEA reference grid for North Macedonia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94b66808-26c4-44fa-8f16-caaf8be09b67.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94b66808-26c4-44fa-8f16-caaf8be09b67	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-mk_2011	None	obsolete
744589ba-7a58-4d6f-a990-5058f467a2b6	None	EEA reference grid for Liechtenstein (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/744589ba-7a58-4d6f-a990-5058f467a2b6.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744589ba-7a58-4d6f-a990-5058f467a2b6	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-li_2011	None	obsolete
f78749ac-3d9c-45b3-96e5-7ff54cfdbdde	None	EEA reference grid for Madeira (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f78749ac-3d9c-45b3-96e5-7ff54cfdbdde.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f78749ac-3d9c-45b3-96e5-7ff54cfdbdde	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pt-30_2011	None	obsolete
0c1533ab-2766-4317-a023-b00925f340c8	None	EEA reference grid for Latvia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1533ab-2766-4317-a023-b00925f340c8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1533ab-2766-4317-a023-b00925f340c8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-lv_2011	None	obsolete
4666285b-8d51-4e5c-8a63-c2e2438cb375	None	EEA reference grid for Portugal (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4666285b-8d51-4e5c-8a63-c2e2438cb375.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4666285b-8d51-4e5c-8a63-c2e2438cb375	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pt_2011	None	obsolete
33645b04-2afa-48fa-9399-85df8953d437	None	EEA reference grid for Slovakia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/33645b04-2afa-48fa-9399-85df8953d437.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33645b04-2afa-48fa-9399-85df8953d437	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-sk_2011	None	obsolete
f14cdb8d-3379-453f-abce-4e845abfe218	None	EEA reference grid for Sweden (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f14cdb8d-3379-453f-abce-4e845abfe218.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f14cdb8d-3379-453f-abce-4e845abfe218	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-se_2011	None	obsolete
bf9d3e68-3f99-4851-8179-3ba3aad493bf	None	EEA reference grid for Kosovo (UNSCR 1244/99) (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf9d3e68-3f99-4851-8179-3ba3aad493bf.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf9d3e68-3f99-4851-8179-3ba3aad493bf	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-xk_2011	None	obsolete
3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3	None	EEA reference grid for Estonia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ee_2011	None	obsolete
10ade0f6-5cf8-4bf8-8db8-313081857af3	None	EEA reference grid for Sweden (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/10ade0f6-5cf8-4bf8-8db8-313081857af3.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10ade0f6-5cf8-4bf8-8db8-313081857af3	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-se_2011	None	obsolete
4049bf5d-134c-4d02-b33a-54d7058cd67b	None	EEA reference grid for Denmark (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4049bf5d-134c-4d02-b33a-54d7058cd67b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4049bf5d-134c-4d02-b33a-54d7058cd67b	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-dk_2011	None	obsolete
a1be022f-c4be-4a0f-bbc0-f83811a2798d	None	EEA reference grid for Lithuania (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1be022f-c4be-4a0f-bbc0-f83811a2798d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1be022f-c4be-4a0f-bbc0-f83811a2798d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-lt_2011	None	obsolete
4c0a1d44-95e7-4bb0-858b-c478d403c9d8	None	EEA reference grid for Ireland (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c0a1d44-95e7-4bb0-858b-c478d403c9d8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c0a1d44-95e7-4bb0-858b-c478d403c9d8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ie_2011	None	obsolete
92d559f7-abfc-4bc6-86dd-cc56a4467fb0	None	EEA reference grid for Slovenia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92d559f7-abfc-4bc6-86dd-cc56a4467fb0.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92d559f7-abfc-4bc6-86dd-cc56a4467fb0	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-si_2011	None	obsolete
63584a1f-9a9a-49e1-bba3-8b4fbd29e446	None	EEA reference grid for Greece (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/63584a1f-9a9a-49e1-bba3-8b4fbd29e446.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63584a1f-9a9a-49e1-bba3-8b4fbd29e446	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-gr_2011	None	obsolete
43531f2a-d0cb-49ec-8bc0-567241591b4b	None	EEA reference grid for Luxembourg (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/43531f2a-d0cb-49ec-8bc0-567241591b4b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43531f2a-d0cb-49ec-8bc0-567241591b4b	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-lu_2011	None	obsolete
5497b114-8b64-481d-9d7b-852fbc6912d1	None	EEA reference grid for Germany (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5497b114-8b64-481d-9d7b-852fbc6912d1.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5497b114-8b64-481d-9d7b-852fbc6912d1	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-de_2011	None	obsolete
6c5c0398-1dbb-4c8a-be02-d2562d590e60	None	EEA reference grid for Spain (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c5c0398-1dbb-4c8a-be02-d2562d590e60.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c5c0398-1dbb-4c8a-be02-d2562d590e60	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-es_2011	None	obsolete
644006e6-c6e0-4b5d-af44-f98d6c546c1b	None	EEA reference grid for Lithuania (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/644006e6-c6e0-4b5d-af44-f98d6c546c1b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/644006e6-c6e0-4b5d-af44-f98d6c546c1b	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-lt_2011	None	obsolete
b1d025b8-df6b-4085-b0ac-0273edd92c57	None	EEA reference grid for Canary Islands (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1d025b8-df6b-4085-b0ac-0273edd92c57.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b1d025b8-df6b-4085-b0ac-0273edd92c57	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ic_2011	None	obsolete
ce549840-cccb-447f-82be-0ca83983a564	None	EEA reference grid for Liechtenstein (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce549840-cccb-447f-82be-0ca83983a564.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce549840-cccb-447f-82be-0ca83983a564	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-li_2011	None	obsolete
de1b4ed1-799c-4373-a974-233a9c8150e3	None	EEA reference grid for Slovenia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/de1b4ed1-799c-4373-a974-233a9c8150e3.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/de1b4ed1-799c-4373-a974-233a9c8150e3	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-si_2011	None	obsolete
d44003b4-4807-49d7-91bc-284aea893ee9	None	EEA reference grid for North Macedonia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d44003b4-4807-49d7-91bc-284aea893ee9.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44003b4-4807-49d7-91bc-284aea893ee9	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-mk_2011	None	obsolete
ad8cac0e-0d5b-4bda-9fe1-57271311ceef	None	Natura 2000 (vector) 100 k - end 2009	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient.	https://www.eea.europa.eu/data-and-maps/data/natura-2000	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad8cac0e-0d5b-4bda-9fe1-57271311ceef.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Member States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad8cac0e-0d5b-4bda-9fe1-57271311ceef	2009	2009	FALSE	Protected sites	This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_200906-200910	None	superseded
34b3126f-0884-4741-aecd-01b2da851793	None	EEA reference grid for Norway (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34b3126f-0884-4741-aecd-01b2da851793.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34b3126f-0884-4741-aecd-01b2da851793	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-no_2011	None	obsolete
23b457d3-2c09-47b5-bbee-ba976b2c8c63	None	EEA reference grid for Bulgaria (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b457d3-2c09-47b5-bbee-ba976b2c8c63.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b457d3-2c09-47b5-bbee-ba976b2c8c63	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-bg_2011	None	obsolete
ef0c1052-6405-4f1d-ae58-9d6e2acae96a	None	EEA reference grid for Malta (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef0c1052-6405-4f1d-ae58-9d6e2acae96a.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef0c1052-6405-4f1d-ae58-9d6e2acae96a	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-mt_2011	None	obsolete
f5d0cc18-5058-435e-822d-ca1479098c87	None	EEA reference grid for Ireland (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5d0cc18-5058-435e-822d-ca1479098c87.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5d0cc18-5058-435e-822d-ca1479098c87	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ie_2011	None	obsolete
764116af-4c9c-4343-b2d4-1e48740d82b7	None	EEA reference grid for Iceland (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/764116af-4c9c-4343-b2d4-1e48740d82b7.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/764116af-4c9c-4343-b2d4-1e48740d82b7	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-is_2011	None	obsolete
660ce4c2-6e23-4aca-b906-0996bdcf24ac	None	EEA reference grid for France (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/660ce4c2-6e23-4aca-b906-0996bdcf24ac.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/660ce4c2-6e23-4aca-b906-0996bdcf24ac	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-fr_2011	None	obsolete
48b3b559-e140-4f67-8c67-842f7524078a	None	EEA reference grid for Spain (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48b3b559-e140-4f67-8c67-842f7524078a.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48b3b559-e140-4f67-8c67-842f7524078a	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-es_2011	None	obsolete
b55f8c0b-9ba2-419c-8d6c-b2b77ba771ff	None	EEA reference grid for Croatia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b55f8c0b-9ba2-419c-8d6c-b2b77ba771ff.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b55f8c0b-9ba2-419c-8d6c-b2b77ba771ff	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-hr_2011	None	obsolete
5407bd5f-8c05-4b1c-9b8e-812574d6f50f	None	EEA reference grid for Albania (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5407bd5f-8c05-4b1c-9b8e-812574d6f50f.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5407bd5f-8c05-4b1c-9b8e-812574d6f50f	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-al_2011	None	obsolete
e788ae75-deab-43ab-877c-4519695e7dae	None	EEA reference grid for Finland (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e788ae75-deab-43ab-877c-4519695e7dae.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e788ae75-deab-43ab-877c-4519695e7dae	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-fi_2011	None	obsolete
20e9e1a1-83c1-4f13-89ef-c19767d6ee18	None	EEA reference grid for Germany (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20e9e1a1-83c1-4f13-89ef-c19767d6ee18.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20e9e1a1-83c1-4f13-89ef-c19767d6ee18	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-de_2011	None	obsolete
c95d15fb-d98c-4972-a9f0-d54742ffcf71	None	EEA reference grid for Lithuania (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c95d15fb-d98c-4972-a9f0-d54742ffcf71.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c95d15fb-d98c-4972-a9f0-d54742ffcf71	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-lt_2011	None	obsolete
0cae298d-2129-41c3-9548-0092962f41fc	None	EEA reference grid for Italy (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0cae298d-2129-41c3-9548-0092962f41fc.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0cae298d-2129-41c3-9548-0092962f41fc	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-it_2011	None	obsolete
d825233a-ce68-476e-b0d6-3229b89e40b0	None	EEA reference grid for Ireland (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d825233a-ce68-476e-b0d6-3229b89e40b0.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d825233a-ce68-476e-b0d6-3229b89e40b0	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ie_2011	None	obsolete
98480df2-c52a-492f-8fb6-3dcf6e13f344	None	EEA reference grid for Serbia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98480df2-c52a-492f-8fb6-3dcf6e13f344.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98480df2-c52a-492f-8fb6-3dcf6e13f344	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-rs_2011	None	obsolete
c57a03db-5069-4554-a31b-ec8e53728d56	None	EEA reference grid for Austria (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c57a03db-5069-4554-a31b-ec8e53728d56.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c57a03db-5069-4554-a31b-ec8e53728d56	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-at_2011	None	obsolete
f93fddaa-56ba-4536-a1db-698f64c8af3d	None	EEA reference grid for Gibraltar (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f93fddaa-56ba-4536-a1db-698f64c8af3d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f93fddaa-56ba-4536-a1db-698f64c8af3d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-gi_2011	None	obsolete
e8d89987-d6e5-43f0-b8c4-ced7ace7c0df	None	EEA reference grid for Germany (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8d89987-d6e5-43f0-b8c4-ced7ace7c0df.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8d89987-d6e5-43f0-b8c4-ced7ace7c0df	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-de_2011	None	obsolete
a25da98d-0df0-420a-bc27-1c486376c72b	None	EEA reference grid for Belgium (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a25da98d-0df0-420a-bc27-1c486376c72b.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a25da98d-0df0-420a-bc27-1c486376c72b	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-be_2011	None	obsolete
a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9	None	EEA reference grid for Croatia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-hr_2011	None	obsolete
0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0	None	EEA reference grid for Estonia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ee_2011	None	obsolete
20662887-fe38-4e2f-a37e-896141ddeb15	None	EEA reference grid for Portugal (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20662887-fe38-4e2f-a37e-896141ddeb15.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20662887-fe38-4e2f-a37e-896141ddeb15	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pt_2011	None	obsolete
1538f933-943a-4c1c-ac63-a1978b1221e7	None	EEA reference grid for Montenegro (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1538f933-943a-4c1c-ac63-a1978b1221e7.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1538f933-943a-4c1c-ac63-a1978b1221e7	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-me_2011	None	obsolete
62d67512-b22c-4728-a9ad-1c023cdd1a5a	None	EEA reference grid for Spain (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62d67512-b22c-4728-a9ad-1c023cdd1a5a.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62d67512-b22c-4728-a9ad-1c023cdd1a5a	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-es_2011	None	obsolete
4540ed52-66ff-468b-b832-b903872e3f13	None	EEA reference grid for Denmark (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4540ed52-66ff-468b-b832-b903872e3f13.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4540ed52-66ff-468b-b832-b903872e3f13	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-dk_2011	None	obsolete
6227f089-cc93-4c8d-89b5-d06516b2bcdc	None	EEA reference grid for Norway (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6227f089-cc93-4c8d-89b5-d06516b2bcdc.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6227f089-cc93-4c8d-89b5-d06516b2bcdc	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-no_2011	None	obsolete
704d50fc-87ba-45b0-acca-5959f28fc010	None	EEA reference grid for Belgium (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/704d50fc-87ba-45b0-acca-5959f28fc010.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/704d50fc-87ba-45b0-acca-5959f28fc010	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-be_2011	None	obsolete
236b655e-4e5f-48dd-9428-820ef1f467a8	None	EEA reference grid for Bulgaria (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/236b655e-4e5f-48dd-9428-820ef1f467a8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/236b655e-4e5f-48dd-9428-820ef1f467a8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-bg_2011	None	obsolete
7f848380-750a-4928-ab3c-359d49932040	None	EEA reference grid for Albania (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7f848380-750a-4928-ab3c-359d49932040.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7f848380-750a-4928-ab3c-359d49932040	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-al_2011	None	obsolete
1fb349ec-84d9-46ee-b361-facb4e3a5251	None	EEA reference grid for France (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1fb349ec-84d9-46ee-b361-facb4e3a5251.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1fb349ec-84d9-46ee-b361-facb4e3a5251	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-fr_2011	None	obsolete
74d822c2-db74-4438-8610-5a2e0426adb8	None	EEA reference grid for Netherlands (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74d822c2-db74-4438-8610-5a2e0426adb8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74d822c2-db74-4438-8610-5a2e0426adb8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-nl_2011	None	obsolete
e4a9d0cd-6c71-4c54-b8e5-554f861b1987	None	EEA reference grid for Bulgaria (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e4a9d0cd-6c71-4c54-b8e5-554f861b1987.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e4a9d0cd-6c71-4c54-b8e5-554f861b1987	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-bg_2011	None	obsolete
c2619c28-9a17-4377-bfa6-5ef998f9eaca	None	EEA reference grid for Czech Republic (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2619c28-9a17-4377-bfa6-5ef998f9eaca.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2619c28-9a17-4377-bfa6-5ef998f9eaca	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-cz_2011	None	obsolete
6aa829af-26f1-4f60-8073-f3704be4b422	None	EEA reference grid for Luxembourg (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6aa829af-26f1-4f60-8073-f3704be4b422.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6aa829af-26f1-4f60-8073-f3704be4b422	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-lu_2011	None	obsolete
343b9fe8-1e6a-410c-99df-2fae56ec47aa	None	EEA reference grid for Poland (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/343b9fe8-1e6a-410c-99df-2fae56ec47aa.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/343b9fe8-1e6a-410c-99df-2fae56ec47aa	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pl_2011	None	obsolete
9e906444-2611-4d62-bb09-850bb4c27912	None	EEA reference grid for Sweden (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e906444-2611-4d62-bb09-850bb4c27912.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e906444-2611-4d62-bb09-850bb4c27912	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-se_2011	None	obsolete
28ca86ba-e5f0-4202-931d-9917b15b42b1	None	EEA reference grid for Bosnia and Herzegovina (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ca86ba-e5f0-4202-931d-9917b15b42b1.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ca86ba-e5f0-4202-931d-9917b15b42b1	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ba_2011	None	obsolete
28b2644d-5478-490d-a462-d19b7c1ae3ae	None	EEA reference grid for Slovenia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b2644d-5478-490d-a462-d19b7c1ae3ae.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b2644d-5478-490d-a462-d19b7c1ae3ae	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-si_2011	None	obsolete
3ae4d4fc-96d7-413f-b30e-674ef3f9dd3f	None	EEA reference grid for Switzerland (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3f.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3f	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ch_2011	None	obsolete
f8b8e91c-761f-4c32-9d43-89bab72051e2	None	EEA reference grid for Portugal (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8b8e91c-761f-4c32-9d43-89bab72051e2.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8b8e91c-761f-4c32-9d43-89bab72051e2	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pt_2011	None	obsolete
bb796039-8210-46b6-bebb-77f3c6ee5997	None	EEA reference grid for Finland (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb796039-8210-46b6-bebb-77f3c6ee5997.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb796039-8210-46b6-bebb-77f3c6ee5997	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-fi_2011	None	obsolete
7db548da-06df-412d-a854-4e7307425233	None	EEA reference grid for Malta (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7db548da-06df-412d-a854-4e7307425233.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7db548da-06df-412d-a854-4e7307425233	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-mt_2011	None	obsolete
99d4a09b-ae81-4600-a787-b35899a46121	None	EEA reference grid for Switzerland (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/99d4a09b-ae81-4600-a787-b35899a46121.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99d4a09b-ae81-4600-a787-b35899a46121	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ch_2011	None	obsolete
81ddbbee-78c1-4362-a156-68950610568c	None	EEA reference grid for Azores (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81ddbbee-78c1-4362-a156-68950610568c.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81ddbbee-78c1-4362-a156-68950610568c	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pt-20_2011	None	obsolete
e902b716-5c5f-4baf-a48b-a74c8e6d2467	None	EEA reference grid for Greece (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e902b716-5c5f-4baf-a48b-a74c8e6d2467.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e902b716-5c5f-4baf-a48b-a74c8e6d2467	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-gr_2011	None	obsolete
9faab055-6e5d-484b-8831-1193503e7f2d	None	EEA reference grid for Belgium (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faab055-6e5d-484b-8831-1193503e7f2d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faab055-6e5d-484b-8831-1193503e7f2d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-be_2011	None	obsolete
ada072ce-a203-4e36-87f4-cbd021ab6435	None	EEA reference grid for France (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ada072ce-a203-4e36-87f4-cbd021ab6435.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ada072ce-a203-4e36-87f4-cbd021ab6435	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-fr_2011	None	obsolete
8644df59-75c3-4dd4-b59c-25c5b9c4a9eb	None	EEA reference grid for Romania (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8644df59-75c3-4dd4-b59c-25c5b9c4a9eb.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8644df59-75c3-4dd4-b59c-25c5b9c4a9eb	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ro_2011	None	obsolete
28263ba1-b2c0-421d-bd75-6b9959da1d95	None	EEA reference grid for Denmark (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28263ba1-b2c0-421d-bd75-6b9959da1d95.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28263ba1-b2c0-421d-bd75-6b9959da1d95	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-dk_2011	None	obsolete
964a58b4-3961-4d58-9319-18b4bf072cf1	None	EEA reference grid for Croatia (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/964a58b4-3961-4d58-9319-18b4bf072cf1.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/964a58b4-3961-4d58-9319-18b4bf072cf1	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-hr_2011	None	obsolete
40611325-0fbf-45c0-84be-f0df0576b477	None	EEA reference grid for Kosovo (UNSCR 1244/99) (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/40611325-0fbf-45c0-84be-f0df0576b477.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/40611325-0fbf-45c0-84be-f0df0576b477	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-xk_2011	None	obsolete
08fcaf24-5db4-44ec-895d-6a63dd33c997	None	EEA reference grid for Cyprus (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/08fcaf24-5db4-44ec-895d-6a63dd33c997.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08fcaf24-5db4-44ec-895d-6a63dd33c997	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-cy_2011	None	obsolete
cbe9c2cf-e885-4965-8935-7ffb2e2a3e80	None	EEA reference grid for Netherlands (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-nl_2011	None	obsolete
cc36fcc1-7d1e-498d-8232-46637bfc2177	None	EEA reference grid for Canary Islands (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc36fcc1-7d1e-498d-8232-46637bfc2177.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc36fcc1-7d1e-498d-8232-46637bfc2177	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ic_2011	None	obsolete
27aee1b0-8505-498c-9ef3-b10977f005c2	None	EEA reference grid for Turkey (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/27aee1b0-8505-498c-9ef3-b10977f005c2.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27aee1b0-8505-498c-9ef3-b10977f005c2	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-tr_2011	None	obsolete
b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57	None	EEA reference grid for Azores (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pt-20_2011	None	obsolete
e374dcbc-0e0a-44f0-8906-25ba4053deb8	None	EEA reference grid for Turkey (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e374dcbc-0e0a-44f0-8906-25ba4053deb8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e374dcbc-0e0a-44f0-8906-25ba4053deb8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-tr_2011	None	obsolete
f461f13a-038c-4e3d-bfbe-22e91389dcef	None	Conservation status of species 2001-2006	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2001 to 2006. The data covers the EU 25. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2001-2006 for the first time includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2001-2006 reporting round is available at http://bd.eionet.europa.eu/article17.	https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f461f13a-038c-4e3d-bfbe-22e91389dcef.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:10000000	None	The Member State supplied species distribution was gridded to 10km or equivalent grids. This was due to the extreme heterogeneity of the supplied data. The data set covers the EU 25 (Terrestrial and Marine) and corresponds to the period 2001 to 2006. The data was supplied during the Article 17 (Habitats Directive 92/43/EEC) reporting process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f461f13a-038c-4e3d-bfbe-22e91389dcef	2001	2006	TRUE	Habitats and biotopes|Species distribution	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-species_2001-2006	None	superseded
8f086da7-e077-4dab-952b-0d12b00e326e	None	EEA reference grid for Serbia (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f086da7-e077-4dab-952b-0d12b00e326e.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f086da7-e077-4dab-952b-0d12b00e326e	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-rs_2011	None	obsolete
76f6414b-ffd4-416d-bd34-b8f09068733f	None	EEA reference grid for Estonia (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/76f6414b-ffd4-416d-bd34-b8f09068733f.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76f6414b-ffd4-416d-bd34-b8f09068733f	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ee_2011	None	obsolete
98bd2c15-1a6d-4717-9850-01e3a44fe60e	None	EEA reference grid for Montenegro (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98bd2c15-1a6d-4717-9850-01e3a44fe60e.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98bd2c15-1a6d-4717-9850-01e3a44fe60e	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-me_2011	None	obsolete
5d75de62-2cbf-452e-85a8-605d8368cc37	None	EEA reference grid for Albania (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d75de62-2cbf-452e-85a8-605d8368cc37.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d75de62-2cbf-452e-85a8-605d8368cc37	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-al_2011	None	obsolete
e9f7f959-6f63-4c96-a47c-e4f1541eba51	None	EEA reference grid for Hungary (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9f7f959-6f63-4c96-a47c-e4f1541eba51.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9f7f959-6f63-4c96-a47c-e4f1541eba51	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-hu_2011	None	obsolete
a528d40c-8980-4545-bae4-3b5da706cc1f	None	EEA reference grid for Bosnia and Herzegovina (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a528d40c-8980-4545-bae4-3b5da706cc1f.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a528d40c-8980-4545-bae4-3b5da706cc1f	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ba_2011	None	obsolete
74cc2d96-c822-4e4c-98fb-bb58714f94c8	None	EEA reference grid for Romania (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74cc2d96-c822-4e4c-98fb-bb58714f94c8.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74cc2d96-c822-4e4c-98fb-bb58714f94c8	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ro_2011	None	obsolete
50ac55b9-f48d-4baa-bf44-f7e2d8904c6d	None	EEA reference grid for Italy (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50ac55b9-f48d-4baa-bf44-f7e2d8904c6d.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50ac55b9-f48d-4baa-bf44-f7e2d8904c6d	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-it_2011	None	obsolete
c651bc41-d5da-49de-ba47-c51eabbb2007	None	EEA reference grid for Turkey (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v2.0, http://www.vliz.be/vmdcdata/marbound. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c651bc41-d5da-49de-ba47-c51eabbb2007.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c651bc41-d5da-49de-ba47-c51eabbb2007	2011	2011	FALSE	Geographical grid systems	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-tr_2011	None	obsolete
b96f0885-e2e0-434b-92fd-3740e376b3eb	None	Natura 2000 250 m (raster) - mid 2009	None	None	None	None	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96f0885-e2e0-434b-92fd-3740e376b3eb.png	EPSG:3035	2019-06-04	None	None	None	grid	Gtiff	None	250m	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96f0885-e2e0-434b-92fd-3740e376b3eb	None	None	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_nature-sites_200901-200905	None	obsolete
8094fb5f-1e00-4651-8fbb-56bcdab70070	None	Natura 2000 (vector) 100 k - end 2011 - INTERNAL VERSION	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database. The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Czech Republic, Finland, Germany, Ireland, Latvia, Luxembourg, Malta, Romania, Slovakia, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. Certain descriptive fields, possibly mentioning the presence of these species, have also been removed. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8094fb5f-1e00-4651-8fbb-56bcdab70070.png	EPSG:3035	2019-06-04	None	None	None	vector	SHP	None	1:100000	None	Member States update Natura 2000 spatial data continuosly. The EEA integrates and validates the data, producing two releases a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8094fb5f-1e00-4651-8fbb-56bcdab70070	None	None	FALSE	Protected sites	Access restricted to EEA, ETCs and EC.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000-internal_2011	None	superseded
5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc	None	Natura 2000 1 km (raster) - end 2011	None	None	None	None	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc.png	EPSG:3035	2019-06-04	None	None	None	grid	Gtiff	None	1000m	None	This dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. 0. The input vector data, from EEA SDI http://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8 1. Rasterisation with GDAL tools (takes ~2 hours) $ for res in 100 250 1000 ; do gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \ -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b3cbeb2-0f70-4ea2-b1ae-29748c1133fc	None	None	FALSE	Protected sites	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_nature-sites_2011	None	obsolete
72eac9d9-8f54-42ad-9a66-f40a5e58f0c4	None	Natura 2000 100 m (raster) - mid 2009	None	None	None	None	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/72eac9d9-8f54-42ad-9a66-f40a5e58f0c4.png	EPSG:3035	2019-06-04	None	None	None	grid	Gtiff	None	100m	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/72eac9d9-8f54-42ad-9a66-f40a5e58f0c4	None	None	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_nature-sites_200901-200905	None	obsolete
28d8bb0d-7194-4451-98d1-382166e8bdb8	None	Natura 2000 100 m (raster) - end 2011	None	None	None	None	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28d8bb0d-7194-4451-98d1-382166e8bdb8.png	EPSG:3035	2019-06-04	None	None	None	grid	Gtiff	None	100m	None	This dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. 0. The input vector data, from EEA SDI http://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8 1. Rasterisation with GDAL tools (takes ~2 hours) $ for res in 100 250 1000 ; do gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \ -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28d8bb0d-7194-4451-98d1-382166e8bdb8	None	None	FALSE	Protected sites	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_nature-sites_2011	None	obsolete
0d37f931-0f69-49a7-8efc-3409071a39aa	None	Natura 2000 250 m (raster) - end 2011	None	None	None	None	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d37f931-0f69-49a7-8efc-3409071a39aa.png	EPSG:3035	2019-06-04	None	None	None	grid	Gtiff	None	250m	None	This dataset was built from the original Natura 2000 vector, public version. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. 0. The input vector data, from EEA SDI http://sdi.eea.europa.eu/catalogue/srv/eng/search?uuid=cc3eadf2-fed8-4262-99ef-bd639ade1eb8 1. Rasterisation with GDAL tools (takes ~2 hours) $ for res in 100 250 1000 ; do gdal_rasterize Natura2000_End2011.shp Natura2000_End2011_${res}m.tif \ -ot byte -a_nodata 0 -co compress=deflate -co tiled=yes -tr $res $res -tap -burn 1 & done	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d37f931-0f69-49a7-8efc-3409071a39aa	None	None	FALSE	Protected sites	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_nature-sites_2011	None	obsolete
5a805097-854d-40cf-816c-9954fb47439c	None	Natura 2000 1 km (raster) - mid 2009	None	None	None	None	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a805097-854d-40cf-816c-9954fb47439c.png	EPSG:3035	2019-06-04	None	None	None	grid	Gtiff	None	1000m	None	This dataset was built from the original Natura 2000 vector. The raster grid is aligned with the EEA reference grid GeoTIFFs generated by GRASS, according to the GeoTIFF Revision 1.0 specifications at http://www.remotesensing.org/geotiff/spec/geotiffhome.html. The information displays if there is or not Natura 2000 sites under each specific pixel zone.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a805097-854d-40cf-816c-9954fb47439c	2009	2009	FALSE	Protected sites	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_nature-sites_200901-200905	None	obsolete
45638b75-39da-4c90-bea0-669967081194	None	EuroRegionalMap version 3.0b, Jun. 2009	None	None	None	None	None	EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000 covering 32 European countries: 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova and Liechtenstein. It is seamless and harmonized across boundaries.It is a seamless1 and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. EuroRegionalMap is ideal for a wide range of uses, including cartographic publishing and backdrop visualisation, or in combination with other datasets for marketing planning and socio-economic analysis, environmental analysis, and transport management. Themes: a) Administrative (administrative boundaries, administrative areas) b) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland) c) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway) d) Settlements (built-up area, named location)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/45638b75-39da-4c90-bea0-669967081194.png	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:250000	None	For each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry. see the National contributions documents.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/45638b75-39da-4c90-bea0-669967081194	None	None	FALSE	Administrative units|Hydrography|Transport network	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_250_k_erm-europe_i_2009_v03_r01	None	superseded
d98cb950-c4d0-4544-8971-e14f0cc94986	None	EuroGlobalMap (individual countries or areas) - version 3.0, Jan. 2009	None	None	None	None	None	EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Albania, Andorra, Croatia, Faroe Islands, Gibraltar, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: a) administrative boundaries (administrative boundaries and administrative areas) b) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass) c) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield) d) settlements (built-up area) e) elevation points (height point) f) named location (named location (point and text feature)).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d98cb950-c4d0-4544-8971-e14f0cc94986.png	EPSG:4326	2019-06-04	None	None	None	vector	PGeo	None	1:1000000	None	See the document Lineage_EGM_v3.0.doc or individual country lineage reports.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d98cb950-c4d0-4544-8971-e14f0cc94986	None	None	FALSE	Administrative units|Elevation|Hydrography|Transport network	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_1_mio_egm-countries-v30_2009	None	superseded
79fbcebb-2cac-4ed5-bab6-884ee4aa3af0	None	EuroRegionalMap (individual countries) - version 4.0, Mar. 2011	None	None	None	None	None	EuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. Themes: a) Administrative (administrative boundaries, administrative areas) b) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland) c) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway) d) Settlements (built-up area, named location) e) Soil and vegetation	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/79fbcebb-2cac-4ed5-bab6-884ee4aa3af0.png	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:250000	None	See the country specific lineage documents.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79fbcebb-2cac-4ed5-bab6-884ee4aa3af0	None	None	FALSE	Administrative units|Hydrography|Transport network	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_250_k_erm-countries-v40_2011	None	superseded
30f8b868-eec3-4f89-b2ec-a42ac1afb0b0	None	EuroGlobalMap (full European coverage) - version 4.0, Jan. 2011	None	None	None	None	None	EuroGlobalMap is a pan-European dataset containing basic geographic information at the scale 1:1 M covering the following countries and/or administrative areas: Andorra, Austria, Belgium, Bulgaria, Croatia, Czech Republic, Cyprus, Denmark, Estonia, Finland, Faroe Islands, France, Germany, Gibraltar, Greece, Great Britain, Greenland, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Monaco, Moldova, Northern Ireland, Norway, Poland, Portugal, Romania, San Marino, Slovakia, Slovenia, Spain, Sweden, Switzerland, The Netherlands, Ukraine and Vatican. It is seamless1 and harmonised data and is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: a) administrative boundaries (administrative boundaries and administrative areas) b) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass) c) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield) d) settlements (built-up area) e) elevation points (height point) f) named location (named location (point and text feature)).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/30f8b868-eec3-4f89-b2ec-a42ac1afb0b0.png	EPSG:4326	2019-06-04	None	None	None	vector	PGeo|SHP	None	1:1000000	None	See the document Metadata/Lineage_EGM_v4.0.doc.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/30f8b868-eec3-4f89-b2ec-a42ac1afb0b0	None	None	FALSE	Administrative units|Elevation|Hydrography|Transport network	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_1_mio_egm-europe_2011_i_v04_r00	None	superseded
9148a53d-6966-4467-9cff-9ff1bee44c44	None	ERM EuroRegionMap Coastlines v2	None	None	None	None	None	EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Miscellaneous, Settlements, Transport, Soils and Vegetation, Named Locations.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9148a53d-6966-4467-9cff-9ff1bee44c44.png	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:250000	None	For each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9148a53d-6966-4467-9cff-9ff1bee44c44	None	None	FALSE	Elevation	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_250_k_erm-coastline_2006_rev2	None	obsolete
6735a968-f86a-491d-9fdc-6d248595d2b7	None	EuroGlobalMap (full European coverage) - version 3.0, Jan. 2009	None	None	None	None	None	EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Albania, Andorra, Croatia, Faroe Islands, Gibraltar, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: a) administrative boundaries (administrative boundaries and administrative areas) b) hydrography (coastline / shoreline, foreshore, island, water (except inland), lake, reservoir, spring / water hole, watercourse, dam / weir, glacier, snow field / ice field, land mass) c) transportation (railway, road, ferry crossing, ferry station, entrance / exit, railway station, airport / airfield) d) settlements (built-up area) e) elevation points (height point) f) named location (named location (point and text feature)).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6735a968-f86a-491d-9fdc-6d248595d2b7.png	EPSG:4326	2019-06-04	None	None	None	vector	PGeo	None	1:1000000	None	See the document Lineage_EGM_v3.0.doc.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6735a968-f86a-491d-9fdc-6d248595d2b7	None	None	FALSE	Administrative units|Elevation|Hydrography|Transport network	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_1_mio_egm-europe-v30_2009	None	superseded
cc3776aa-fabd-461d-9c8b-1d915314f8a5	None	ERM EuroRegionMap Coastlines v3.0b	None	None	None	None	None	EuroRegionalMap is a Pan-European topographic vector dataset at scale 1: 250000, that is seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries using official national databases. Thematic layers: Administrative Boundaries, Hydrography, Miscellaneous, Settlements, Transport, Soils and Vegetation, Named Locations.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc3776aa-fabd-461d-9c8b-1d915314f8a5.png	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:250000	None	For each national components of the EuroRegionalMap dataset, data have been collected from existing national databases and harmonised into compliance to EuroRegionalMap specifications. A quality control on data has been performed using as much as common validation procedures. Cross-border consistency between national territories have been in charge of the producers in a common agreement. The producers have also agreed on common and fixed international boundaries. Final validation has been performed by the technical management team for final approval of the national components before the final assembly phase with accurate edge-matching of the geometry.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc3776aa-fabd-461d-9c8b-1d915314f8a5	2007	2007	FALSE	Elevation	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_250_k_erm-coastline_2006_rev30b	None	obsolete
25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef	None	EGM EuroGlobalMap Coastlines v2	None	None	None	None	None	EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Andorra, Croatia, Faroe Islands, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: administrative boundaries, hydrography, transportation, settlements, elevation points, named location.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef.png	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:1000000	None	The creation of this dataset is a joint effort of European National Mapping Agencies (NMAs). A listing of all partners and contact information is given in the respective metadata sections. Project Coordinator is the National Land Survey (NLS) of Finland. Additionally there are 4 Regional Coordinators (Finland, France, Germany and Ireland) and 3 Subregional Coordinators (Estonia, Greece and Spain). The National Mapping Agencies of each of the participating countries are responsible for the map elements of the areas of their respective countries. Process steps: Each data supplier has converted its analogue and digital data into the EuroGlobalMap specifications observing the EGM Technical guidelines. Details about these processes and country specific extraction peculiarities can be found in the national lineage sections. Subregional and Regional Coordinators performed thorough interactive and automatic quality checking on the delivered data. Subsequently the coordinators compiled the national contributions into a seamless harmonized dataset, referring to international boundaries with common geometry agreed by all partners. The harmonisation process followed the rules laid down in the EGM Specifications and Technical Guidelines. Corresponding procedures were later applied to harmonize the data between EGM regions to compile the final EGM dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/25e4030f-8f30-4e2c-a8cd-f1cdf07e33ef	2006	2006	FALSE	Elevation	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_1_mio_egm-coastline_2006_rev2	None	obsolete
63a9dd7f-a7f3-453e-b183-644a1ea6a8f9	None	EuroRegionalMap (full European coverage) - version 4.0, Mar. 2011	None	None	None	None	None	EuroRegionalMap v4.0 is a pan-European dataset containing topo-geographic information at the scale 1:250 000 assembled from 31 country data sets covering 26 EU Countries (Bulgaria not included), 4 EFTA countries, the Republic of Moldova. It is a seamless (there are no gaps between graphical objects initially derived from different sources) and harmonised data and is produced in cooperation by the National Mapping and Cadastral Agencies of Europe, using official national databases. Themes: a) Administrative (administrative boundaries, administrative areas) b) Hydrography (well, coastline / shoreline, foreshore, island, sea, aqueduct, lake / pond, reservoir, spring / water hole, waterfall, watercourse, dam / weir, lock, glacier, snow field / ice field, wetland) c) Transportation (railway, interchange of motorways, road, control tower, level crossing, ferry crossing, ferry station, entrance / exit, railway station, vehicle stopping area / rest area, pier / wharf / quay, airport / airfield, heliport, runway) d) Settlements (built-up area, named location) e) Soil and vegetation	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/63a9dd7f-a7f3-453e-b183-644a1ea6a8f9.png	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:250000	None	See the country specific lineage documents.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63a9dd7f-a7f3-453e-b183-644a1ea6a8f9	2011	2011	FALSE	Administrative units|Hydrography|Transport network	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_250_k_erm-europe_i_2009_v04_r00	None	superseded
965858af-9905-4ba3-b5ab-e976c06d6816	None	Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - series	None	None	None	None	None	The series references all versions of Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/965858af-9905-4ba3-b5ab-e976c06d6816.png	EPSG:3035	2019-06-04	None	None	Land cover	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 - 2006 changes The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/965858af-9905-4ba3-b5ab-e976c06d6816	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_2000-2006_series	None	obsolete
cfecabd3-ec0b-4c6e-bec3-aa0666971958	None	Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - series	None	None	None	None	None	The series references all versions of Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cfecabd3-ec0b-4c6e-bec3-aa0666971958.png	EPSG:3035	2019-06-04	None	None	Land cover	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 - 2006 changes The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cfecabd3-ec0b-4c6e-bec3-aa0666971958	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_2000-2006_series	None	obsolete
13c2cc2f-3cea-4d83-8496-c635f68f7f91	None	Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - series	None	None	None	None	None	The series references all versions of Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13c2cc2f-3cea-4d83-8496-c635f68f7f91.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 - 2000 changes The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13c2cc2f-3cea-4d83-8496-c635f68f7f91	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_1990-2000_series	None	obsolete
d72a2a90-4f32-43dc-bc4e-5d1b2d493c27	None	Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - series	None	None	None	None	None	The series references all versions of Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d72a2a90-4f32-43dc-bc4e-5d1b2d493c27.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 - 2000 changes The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d72a2a90-4f32-43dc-bc4e-5d1b2d493c27	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_1990-2000_series	None	obsolete
def7ac06-7d3f-4da5-880c-a76a73953cfc	None	Biogeographical regions, Europe 2015, version 2	None	None	None	None	None	The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention). The 2015 version includes updated delineations of regions in Caucasus area. This version (2015, version 2) corrects an error in the delineation of the ATL region contained in the release 2015, version 1.	https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/def7ac06-7d3f-4da5-880c-a76a73953cfc.png	EPSG:3035	2019-06-04	None	Bio-geographical regions	biodiversity	vector	SHP	None	1:10000000	None	Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network. Changes in version 2011: • Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden. Changes in version 2015: • Update of coast lines (the Caspian and Black Sea) • Update Ukraine from continental to Pannonian region • Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan Changes in 2015, version 2: • Errors in the delineation of the ATL region have been corrected. The scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/def7ac06-7d3f-4da5-880c-a76a73953cfc	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright Inherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012: The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_mio_biogeo-regions_2015_rev02	None	superseded
df69de7e-3af1-4b4d-94d4-8bebe84c80b0	None	Ecosystem types of Europe - version 2.1, Dec. 2015	None	None	None	None	None	The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type. The data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). The objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. The MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.	https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/df69de7e-3af1-4b4d-94d4-8bebe84c80b0.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Land cover	ecosystem|ecosystem type|environmental assessment|habitat|land cover	grid	GTiff	None	100m	None	The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment – Concept, Data, and Implementation. The basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df69de7e-3af1-4b4d-94d4-8bebe84c80b0	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_xxx_xxx_ecosystem-types_2006_rev2-1	None	superseded
239a2b86-f15d-467d-8079-f6de3b65ed90	None	Zones in relation to EU air quality thresholds in 2010 - version 2, November 2012	None	None	None	None	None	Member States provide an annual assessment of air quality in comparison to EU air quality thresholds. Commission Decision 2004/461/EC provides a questionnaire to be used by the Member States for the annual reporting under the Framework Directive and the related four Daughter Directives 1999/30/EC, 2000/69/EC, 2002/3/EC and 2004/107/EC. Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead. More information about EU air quality standards is available on the DG Environment web site at http://ec.europa.eu/environment/air/quality/standards.htm. Pursuant to Article 22 of Directive 2008/50/EC, Member States may notify to the Commission when in their opinion the conditions are met in a given zone or agglomeration for postponing the attainment deadline for the limit values for nitrogen dioxide and benzene, or for being exempt from the limit values for PM10. More information is available at: http://ec.europa.eu/environment/air/quality/legislation/time_extensions.htm . Additional information is available in The annual technical overview and analysis of the reports submitted by Member States (http://acm.eionet.europa.eu/databases/aq-questionnaire/annual_reports_aqq.html). Zones are designated for the following pollutants: B – Benzene; BaP – Benzo(a)pyrene; C – Carbon Monoxide; L – lead; AsCdNi – Heavy metals: Arsenic, Cadmium, Nickel; NH – Nitrogen Dioxide for human protection; NV – NOx for vegetation protection; O – ozone; PM10 – particulate matter less than 10 microgrammes; PM25 – particulate matter less than 2.5 microgrammes; SE – SO2 for ecosystems protection; SH – SO2 for human protection. ************ In this revision 2, Montenegro was added to the SE and NV datasets. ************	https://www.eea.europa.eu/data-and-maps/data/zones-in-relation-to-eu-air-quality-thresholds-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/239a2b86-f15d-467d-8079-f6de3b65ed90.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units	air quality management	vector	Spatialite	None	1:1000000	None	Member States have to divide their entire territory into zones. Zones can be regarded as the primary territorial units for assessment and management of air quality under the air quality directives. Consequently, unambiguous definition of all zones is needed. Member States have employed different approaches for the definition of their zones. Some Member States have divided their territory into a single set of zones serving all pollutants. Other Member States have defined a single base set of zones and modified some of the zones for the application to particular pollutants. Where a Member State has distinguished different sets of zones in relation to health protection and ecosystem/vegetation protection respectively, a single location can be situated in several zones, e.g. in a zone defined for all pollutants except lead and in another, larger zone defined for lead. Data is reported under Annual report (questionnaire) on air quality assessment and management (2004/461/EC) [http://rod.eionet.europa.eu/obligations/389] National deliveries can be found at http://cdr.eionet.europa.eu/recent_etc?RA_ID=389 ETC-ACM assembles the European dataset from them. Feedback to countries following QA can be seen at the same location.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/239a2b86-f15d-467d-8079-f6de3b65ed90	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_1_mio_zones-aq-thresholds_2010_rev2	None	superseded
e8a366b7-0029-44d7-ae33-7578253179c0	None	Ecosystem types of Europe based on EUNIS level 1 (raster 100m) - version 2.1, Dec. 2015	None	None	None	None	None	The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 1) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type. The data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). The objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. The MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.	https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8a366b7-0029-44d7-ae33-7578253179c0.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Land cover	ecosystem|ecosystem type|environmental assessment|habitat|land cover	grid	GTiff	None	100m	None	The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment – Concept, Data, and Implementation. The basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8a366b7-0029-44d7-ae33-7578253179c0	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_ecosystem-types-l1_2006_rev2-1	None	superseded
cbeb0b45-dfe1-4735-a955-25706fb8e9bd	None	Ecosystem types of Europe based on EUNIS level 1 (raster 1km) - version 2.1, Dec. 2015	None	None	None	None	None	The data set combines the Corine based MAES (Mapping and Assessment of Ecosystems and their Services) ecosystem classes with the non-spatial EUNIS habitat classification (LEVEL 1) for a better biological characterization of ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS habitat presence for each MAES ecosystem type. The data set aims to combine spatially explicit land cover information with non-spatially referenced habitat information to improve our knowledge about ecosystems and their distribution across Europe. The work supports the MAES process, Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). The objective of the ecosystem data set produced by EEA and its Topic Centre ETC/SIA was to improve the biological description of land cover based ecosystem types. It represents probabilities of EUNIS habitat presence in ecosystem types at European level. Since it is not based on spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. The MAES ecosystem typology differentiates three levels: whereas the level 2 of the MAES proposal follows closely the EUNIS level 1, the third level of the MAES typology corresponds to the EUNIS level 2. This level will be the base for the mapping approach.	https://www.eea.europa.eu/data-and-maps/data/ecosystem-types-of-europe	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cbeb0b45-dfe1-4735-a955-25706fb8e9bd.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Land cover	ecosystem|ecosystem type|environmental assessment|habitat|land cover	grid	GTiff	None	100m	None	The data set production implied 2 steps. First re-classification of CORINE Land Cover 2006 and bathymetry data using the 7 terrestrial (urban, cropland, grassland, woodland and forest, heathland and shrub, sparsely vegetated land, wetland), 1 freshwater (river and lakes), and 4 marine (marine inlets and transitional waters, coastal, shelf, open ocean) classes of the MAES ecosystem typology (Maes et al., 2013). The classes also provide links to major policy lines such as agriculture, forestry, territorial cohesion, water and marine related policies. The second step comprised refinement of the ecosystem types by attributing EUNIS habitat information to each ecosystem type (see http://eunis.eea.europa.eu/habitats.jsp). The refinement process used reference data such as potential natural vegetation, elevation, slope, aspect, soil, geology, environmental regions and other spatial referenced information which allowed attribution of the EUNIS habitat characteristics to the spatial mapping units of the MAES ecosystem types. The geometric and thematic accuracy of EUNIS class presence was also estimated and mapped. The method is described in the EEA Technical Report 06/2015: European Ecosystem Assessment – Concept, Data, and Implementation. The basis for the update was CORINE land cover 2006 (CLC 2006). It includes Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Iceland, Ireland, Italy, Kosovo (under UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom. For Greece that has not participated in the CLC 2006 activity the CLC 2000 data was used instead.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbeb0b45-dfe1-4735-a955-25706fb8e9bd	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_ecosystem-types-l1_2006_rev2-1	None	superseded
a073443a-1a83-4abc-b848-cb1394b56ae4	None	Urban Waste Water Treatment Directive, Agglomerations - version 4, Dec. 2012	None	None	None	None	None	This dataset contains information on agglomerations with generated load ≥ 2000 P.E., including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a073443a-1a83-4abc-b848-cb1394b56ae4.png	EPSG:4326	2019-06-04	None	Production and industrial facilities	collective wastewater treatment|waste water discharge	vector	SHP	None	1:100000	None	Some records are reporting erroneous lat/long coordinates: when features are clearly erroneous, they are removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a073443a-1a83-4abc-b848-cb1394b56ae4	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_100_k_uwwtd-agglo_2007-2011_rev4	None	superseded
dd31c70b-031d-46c7-b11c-e46c23ba0e00	None	Urban Waste Water Treatment Directive, Discharge points - version 4, Dec. 2012	None	None	None	None	None	This dataset contains information on individual points of discharge from treatment plants or collecting systems, localisation of discharge, link to specific treatment plant, type of receiving area into which the effluent/wastwater is dicharged, related waterbody (or river basin), information on the discharge on land. The table T_ReceivingAreas (uwwtd_receivingareas_v4.txt) summarises information on designated sensitive areas, date of designation, the purpose of the designation, type of sensitive areas. Moreover, the table specifies which particular article of the UWWTD is applied in regards to designation of sensitive areas.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dd31c70b-031d-46c7-b11c-e46c23ba0e00.png	EPSG:4326	2019-06-04	None	Production and industrial facilities	collective wastewater treatment|waste water discharge	vector	SHP	None	1:100000	None	Some records are reporting erroneous lat/long coordinates: when features are clearly erroneous, they are removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd31c70b-031d-46c7-b11c-e46c23ba0e00	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_100_k_uwwtd-disc-pts_2007-2011_rev4	None	superseded
29aee8f4-cc9f-4351-a255-453ba2f17fdf	None	Biogeographical regions, Europe 2015, version 1	None	None	None	None	None	The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention). The 2015 version includes updated delineations of regions in Caucasus area. Errors in the delineation of the ATL region have been corrected in a newer release. This dataset should not be used anymore.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/29aee8f4-cc9f-4351-a255-453ba2f17fdf.png	EPSG:3035	2019-06-04	None	Bio-geographical regions	biodiversity	vector	SHP	None	1:10000000	None	Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network. Changes in version 2011: • Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden. Changes in version 2015: • Update of coast lines (the Caspian and Black Sea) • Update Ukraine from continental to Pannonian region • Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan The scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/29aee8f4-cc9f-4351-a255-453ba2f17fdf	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright Inherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012: The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_mio_biogeo-regions_2015_rev01	None	superseded
54b64e62-3dff-495f-b322-514aa31b152f	None	Natura 2000 (vector) 100 k - version 2014, May 2015	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database . The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released. However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	https://www.eea.europa.eu/data-and-maps/data/natura-6	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/54b64e62-3dff-495f-b322-514aa31b152f.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54b64e62-3dff-495f-b322-514aa31b152f	None	None	FALSE	None	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2014	None	superseded
c90a8e6e-6c9b-4c22-be93-1f194af0d4f6	None	Urban atlas - outline	None	None	None	None	None	This dataset contains the outline of the various areas mapped under Urban Atlas.	https://www.eea.europa.eu/data-and-maps/data/urban-atlas/urban-atlas-outline	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c90a8e6e-6c9b-4c22-be93-1f194af0d4f6.png	EPSG:3035	2019-06-04	None	Land use	land use|urban area	vector	SHP	None	1:10000	None	Area outlines have been extracted using ST_Union within PostGIS v2.0	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c90a8e6e-6c9b-4c22-be93-1f194af0d4f6	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_k_urban-atlas-outline_2004-2010	None	obsolete
c773f1a8-16ed-4f7a-91aa-f7475105f805	None	Natura 2000 (vector) 100 k - end 2012	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database. The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	https://www.eea.europa.eu/data-and-maps/data/natura-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c773f1a8-16ed-4f7a-91aa-f7475105f805.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing two releases a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c773f1a8-16ed-4f7a-91aa-f7475105f805	None	None	FALSE	None	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2012	None	superseded
5def38dd-eb68-4710-afd0-e92c64c76413	None	Natura 2000 (vector) 100 k - end 2012 - revision 1	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. The green infrastructure it provides safeguards numerous ecosystem services and ensures that Europe's natural systems remain healthy and resilient. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating this data and creating an EU wide descriptive database. The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. This data is subject to a regular validation and updating process. After validation a new EU-wide Natura 2000 database is released. The date of release of a new EU-wide database does not guarantee that the data has been regularly and uniformly updated by Member States. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites	https://www.eea.europa.eu/data-and-maps/data/natura-4	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5def38dd-eb68-4710-afd0-e92c64c76413.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing two releases a year. Revision 1: Improvement of positional accuracy for Luxembourg features (60 features).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5def38dd-eb68-4710-afd0-e92c64c76413	None	None	FALSE	None	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2012_rev01	None	superseded
16908436-12ec-414a-a78c-47eb38514345	None	WISE GWB provisional dataset for Reunion island - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The sixteen Ground Water Basins of the Reunion Island are merged into a separate shape due to the location in the southern hemisphere resulting in a deviating map projection. All GWBs in Reunion are assigned to horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/16908436-12ec-414a-a78c-47eb38514345.png	EPSG:32740	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs located in Reunion are aggregated in the shape Reunion. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16908436-12ec-414a-a78c-47eb38514345	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_32740_1_mio_wise-gwb-public-reunion_2009-2011	None	obsolete
fec237c7-49f2-42b6-ba13-dc3cbebb43d9	None	Corine Land Cover 1990 - 2000 harmonised changes, formation code in changed areas (raster 100m)	None	None	None	None	None	100m resolution raster version of the European CLC-changes (1990-2000) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fec237c7-49f2-42b6-ba13-dc3cbebb43d9.png	EPSG:3035	2019-06-04	None	Land cover	Land cover	grid	GTiff	None	100m	None	CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include: - Delineation of change features larger than 5 ha based on IMAGE1990 and IMAGE2000 satellite imagery + ancillary data, - Merging country databases into a European database, - Rasterization of European CLC-change(1990-2000)data (CELL CENTER method) - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset CLC-changes (1990-2000) raster data have been harmonized with CLC-changes (2000-2006) raster data. More information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fec237c7-49f2-42b6-ba13-dc3cbebb43d9	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation-harmonised_1990-2000	None	obsolete
b2a0e6f2-142c-4554-b6c1-ead08d6b88de	None	WISE GWB provisional dataset for Reunion island - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The sixteen Ground Water Basins of the Reunion Island are merged into a separate shape due to the location in the southern hemisphere resulting in a deviating map projection. All GWBs in Reunion are assigned to horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b2a0e6f2-142c-4554-b6c1-ead08d6b88de.png	EPSG:32740	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs located in Reunion are aggregated in the shape Reunion. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b2a0e6f2-142c-4554-b6c1-ead08d6b88de	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_32740_1_mio_wise-gwb-reunion_2009-2011	None	obsolete
b0f63ca4-a269-4769-b384-5eedd64a7522	None	Slope derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Slope, resolution 25 m)	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry. The projection onto an Inspire compliant grid of 25m resolution and the computation of a Slope raster have been performed by the Joint Research Centre of the European Commission (see file documentation/SPEC010_a100421-SLOP.pdf).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0f63ca4-a269-4769-b384-5eedd64a7522.png	EPSG:3035	2019-06-04	None	Elevation|Hydrography	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	The Slope dataset has been created from the EU-DEM projected to ETRS89/ETRS-LAEA according to the information available in documentation/SPEC010_a100421-SLOP.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0f63ca4-a269-4769-b384-5eedd64a7522	None	None	FALSE	None	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_25_m_gsgrda-eudem-slope_2012	None	obsolete
27a368e0-3330-4380-be0d-7d0af093a5b7	None	Aspect derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Aspect, resolution 25 m)	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry. The projection onto an Inspire compliant grid of 25m resolution and the computation of an Aspect raster have been performed by the Joint Research Centre of the European Commission (see file documentation/SPEC010_a100421-ASPC.pdf).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/27a368e0-3330-4380-be0d-7d0af093a5b7.png	EPSG:3035	2019-06-04	None	Elevation|Hydrography	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	The Aspect dataset has been created from the EU-DEM projected to ETRS89/ETRS-LAEA according to the information available in documentation/SPEC010_a100421-ASPC.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27a368e0-3330-4380-be0d-7d0af093a5b7	None	None	FALSE	None	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_25_m_gsgrda-eudem-aspect_2012	None	obsolete
d345fe93-2ad3-488a-a2c2-1fb2cb1b4bf5	None	Corine Land Cover 1990 - 2000 harmonised changes, consumption code in changed areas (raster 100m)	None	None	None	None	None	100m resolution raster version of the European CLC-changes (1990-2000) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d345fe93-2ad3-488a-a2c2-1fb2cb1b4bf5.png	EPSG:3035	2019-06-04	None	Land cover	Land cover	grid	GTiff	None	100m	None	CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include: - Delineation of change features larger than 5 ha based on IMAGE1990 and IMAGE2000 satellite imagery + ancillary data, - Merging country databases into a European database, - Rasterization of European CLC-change(1990-2000)data (CELL CENTER method) - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset CLC-changes (1990-2000) raster data have been harmonized with CLC-changes (2000-2006) raster data. More information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d345fe93-2ad3-488a-a2c2-1fb2cb1b4bf5	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption-harmonised_1990-2000	None	obsolete
5b5e72fb-b15f-4ad2-be5d-3ffc5f3c83b8	None	Natura 2000 (vector) 100 k - version 2013, Jul. 2014	None	None	None	None	None	Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Bird's Directive and the 1992 Habitat's Directive. Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). For each Natura 2000 site, national authorities have submitted a standard data form (SDF) that contains an extensive description of the site and its ecology. The European Topic Centre for Biological Diversity (ETC/BD), based in Paris, is responsible for validating these datasets and for creating an EU wide descriptive database . The European database on Natura 2000 sites consists of data submitted by Member States to the European Commission. The European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. After validation a new EU-wide Natura 2000 database is released. However, the release of a new EU-wide database does not provide any guarantee that a particular national dataset has recently been updated. The spatial data (borders of sites) submitted by each Member State is validated by the European Environment Agency (EEA) and linked to the descriptive data. Any problems identified during this process are brought to the attention of the concerned Member States. There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Bulgaria, Cyprus, Finland, Germany, Ireland, Latvia, Luxembourg, Sweden and United Kingdom. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites Nota: Some features over Luxembourg are shifted in this data set.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b5e72fb-b15f-4ad2-be5d-3ffc5f3c83b8.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Protected sites	natural area|natural areas protection|protected area	vector	SHP|SQLite	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b5e72fb-b15f-4ad2-be5d-3ffc5f3c83b8	None	None	FALSE	None	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_natura2000_2013	None	superseded
80c1a46b-e62d-469d-aacf-71512bea81af	None	Corine Land Cover 2000 - 2006 harmonised changes, consumption code in changed areas (raster 100m)	None	None	None	None	None	100m resolution raster version of the European CLC-changes (2000-2006) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/80c1a46b-e62d-469d-aacf-71512bea81af.png	EPSG:3035	2019-06-04	None	Land cover	Land cover	grid	GTiff	None	100m	None	CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include: - Delineation of change features larger than 5 ha based on IMAGE2000 and IMAGE2006 satellite imagery + ancillary data, - Merging country databases into a European database, - Rasterization of European CLC-change(2000-2006)data (CELL CENTER method) - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data. More information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80c1a46b-e62d-469d-aacf-71512bea81af	2000	2006	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption-harmonised_2000-2006	None	obsolete
e2cac092-4cbf-4765-a06e-0271f382d4a4	None	Color shaded DEM over Europe derived from the EU-DEM (resolution 25m) - version 1, Oct. 2013	None	None	None	None	None	This colour shaded relief image over Europe has been created using a hillshade dataset derived from the Digital Elevation Model over Europe from the GMES RDA project (EU-DEM) projected to ETRS-LAEA. This dataset cannot be used for analysis purposes and there are some known artefacts West of Norway. The 1000x1000km tiles are provided as GeoTIFF with LZW compression. The mosaic is provided as GeoTIFF with DEFLATE compression. Ownership of EU-DEM belongs to European Commission, DG Enterprise and Industry.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e2cac092-4cbf-4765-a06e-0271f382d4a4.png	EPSG:3035	2019-06-04	None	Elevation|Hydrography	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	The palette applied to the EU-DEM has been derived from the wiki-1.03 palette available at http://soliton.vm.bytemark.co.uk/pub/cpt-city/wkp/template/tn/wiki-1.03.png.index.html The resulting colour DEM image has then been merged with a hillshade dataset derived from the EU-DEM (using the GDAL hsv_merge.py command). A land/sea mask has been applied to the resulting dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e2cac092-4cbf-4765-a06e-0271f382d4a4	2000	2010	TRUE	None	Access to data governed by Commission delegated regulation (EU) No 12386/13 of 12.7.2013 supplementing Regulation (EU) No 911/2010 of the European Parliament and of the Council on the European Earth monitoring programme (GMES) by establishing registration and licensing conditions for GMES users and defining criteria for restricting access to GMES dedicated data and GMES service information. The following credit must be displayed when using these data: Derived from data funded under GMES preparatory action 2009 on Reference Data Access project by the European Commission, DG Enterprise and Industry.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_25_m_gsgrda-eudem-clshaded-europe_2012_rev1	None	obsolete
caca3b89-d60b-4949-a556-e15c198b8faf	None	WISE provisional reference GIS Water Framework Directive (WFD) dataset on Groundwater Bodies - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	A Groundwater Body (GWB) under the Water Framework Directive (WFD) Art. 2 is defined as a distinct volume of groundwater within an aquifer or aquifers, whereas an aquifer is defined as a geological layer with significant groundwater flow. This definition of a GWB allows a wide scope of interpretations. EU Member States (MS) are under obligation to report the GWBs including the results of the GWB survey periodically according to the schedule of the WFD. Reportnet is used for the submission of GWB data to the EEA by MS and includes spatial data as GIS polygons and GWB characteristics in an XML schema. The WISE provisional reference GIS WFD Dataset on GWBs combines spatial data consisting of several shape files and certain GWB attributes in a single table submitted by the MS according to Art. 13. The GWBs are divided into horizons, which represent distinct vertical layers of groundwater resources. All GWBs assigned to a certain horizon from one to five are merged into one shape file. GWBs assigned to horizons six or seven are combined in a single further shape file. Another two shape files comprise the GWBs of Reunion Island in the southern hemisphere and the GWBs from Switzerland as a non EU MS, all of which assigned to horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1 : 10,000 to 1 : 1,000,000 and mostly in the range from 1 : 50,000 to 1 : 250,000. The processing of some of the GWB shape files by GIS routines as clip or intersect in combination with a test polygon resulted in errors. Therefore a correction of erroneous topological features causing routine failures was carried out. However, the GWB layer includes a multitude of in parts very tiny, distinct areas resulting in a highly detailed or fragmented pattern. In certain parts topological inconsistencies appear quite frequently and delineation methodologies are currently varying between the MS in terms of size and three dimensional positioning of GWBs. This version of the dataset has to be considered as a first step towards a consistent GWB picture throughout Europe, but it is not yet of a sufficient quality to support spatial analyses i.e. it is not a fully developed reference GIS dataset. Therefore, the layer is published as a preliminary version and use of this data is subject to certain restrictions outlined in the explanatory notes. It should be underlined that the methodology used is still under discussion (Working Group C -Groundwater) and is not fully harmonised throughout the EU MS. For the external publication the whole United Kingdom has to be removed due to licensing restrictions.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/caca3b89-d60b-4949-a556-e15c198b8faf.png	EPSG:3035	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	Spatialite	None	1:1000000	None	Spatial data of GWBs was delivered by MS in a shape format, whereas many MS stored the data in separate shape files for River Basin Districts (RBD) or horizons or both. The attribute tables of the provided shape files always implied the mandatory fields of GWB code named “EU_CD_GW” and GWB horizon partially accompanied by varying extra columns defined by the Member States. All GWBs had been merged into separate shape files according to their affiliation to horizons, but with extra shapes for Reunion and Switzerland. The attribute tables of these shape files exclusively adopt the fields “EU_CD_GW” and GWB. Because the GWB identifier “EU_CD_GW” is not unique for the polygons an artificial polygon identifier “Polygon_ID” is appended to the attribute table. The linking between the shape files and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes deriving from the WFD reporting via XML files, has to be carried out using the column EU_CD_GW as key for joining the tables.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/caca3b89-d60b-4949-a556-e15c198b8faf	2009	2011	TRUE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_xxx_1_mio_wise-gwb_2009-2011	None	obsolete
7586c641-fa53-428d-97aa-c22dc354b051	None	Corine Land Cover 2000 - 2006 harmonised changes, formation code in changed areas (raster 100m)	None	None	None	None	None	100m resolution raster version of the European CLC-changes (2000-2006) vector data. CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7586c641-fa53-428d-97aa-c22dc354b051.png	EPSG:3035	2019-06-04	None	Land cover	Land cover	grid	GTiff	None	100m	None	CLC change mapping aimed to delineate all CLC change features larger than 5 ha (see CLC2006 Technical Guidelines in the specification). Production steps for version 16 include: - Delineation of change features larger than 5 ha based on IMAGE2000 and IMAGE2006 satellite imagery + ancillary data, - Merging country databases into a European database, - Rasterization of European CLC-change(2000-2006)data (CELL CENTER method) - Harmonization of European CLC-change(2000-2006) and CLC-change(1990-2000) raster data in order to eliminate remaining contradictions on overlaps between the two dataset CLC-changes (2000-2006) raster data have been harmonized with CLC-changes (1990-2000) raster data. More information on EEA's Corine Land Cover publications: http://www.eea.europa.eu/publications#c9=all&c7=en&b_start=0&c13=corine+land+cover	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7586c641-fa53-428d-97aa-c22dc354b051	2000	2006	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation-harmonised_2000-2006	None	obsolete
908fbf25-7769-49f5-a4c6-e54b265e44e7	None	Near real time measurements of the concentration of air pollutants for the current year	None	None	None	None	None	Near real time concentration of pollutants in ambient air, measured at ground-level by monitoring stations in Europe and transmitted to EEA by national and regional air quality networks (http://www.eea.europa.eu/themes/air/air-quality/resources/who-provides-the-air-quality-data). All pollutants might not be monitored at all stations. The measurements are preliminary and may be changed at any time by the data providers following their quality control procedures. The measurements may not be used for compliance purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/908fbf25-7769-49f5-a4c6-e54b265e44e7.png	EPSG:4326	2019-06-04	None	Atmospheric conditions|Environmental monitoring facilities|Human health and safety	air quality monitoring|atmospheric composition|atmospheric pollution|transboundary pollution|troposphere	textTable	Text	None	1:10000	None	Near real time air quality measurements transmitted to EEA by national and regional air quality networks are collated in a harmonized dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/908fbf25-7769-49f5-a4c6-e54b265e44e7	2011	2011	FALSE	None	Use by external users is possible under conditions. Please contact the data point of contact referenced in this metadata record.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_t_4326_10_k_nrt-air-pollutants	None	obsolete
7b0b89e3-055e-4d74-a98b-02a788b3a481	None	Preliminary version of a DEM over Europe from the GSGRDA project (EU-DEM-PRE, resolution 25 m)	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry. The projection onto an Inspire compliant grid of 25m resolution has been performed by the Joint Research Centre of the European Commission.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7b0b89e3-055e-4d74-a98b-02a788b3a481.png	EPSG:3035	2019-06-04	None	Elevation|Hydrography	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	The EU-DEM data product is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM product is edited to ensure that water features are adequately represented and consistent with the hydrography layer provided by Aerogeodezijos Institutas (AGI) in Kaunas, Lithuania. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographic features and pits and bumps. In areas above 60 degress North, the EU-DEM generation process is supported by other DEM data sources provided by JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data produced by AGI. The spatial reference system of the original EU-DEM is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08. This dataset has been projected to ETRS89/ETRS-LAEA (EPSG code 3035).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b0b89e3-055e-4d74-a98b-02a788b3a481	2000	2010	TRUE	None	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_25_m_gsgrda-eudem_2012	None	obsolete
a6a9ee28-028e-4782-a3b1-369b1dbc5d9b	None	Administrative units from EuroBoundaryMap (raster 100m)	None	None	None	None	None	This dataset maps NUTS3 regions (Nomenclature of territorial units for statistics) or where not available: Administrative Units from EuroBoundaryMap onto an Inspire compliant grid with 100m resolution. This dataset is to be used with its associated legend file (EBMv5_100m.legend_final).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a6a9ee28-028e-4782-a3b1-369b1dbc5d9b.png	EPSG:3035	2019-06-04	None	Administrative units	administrative boundary	grid	Gtiff	None	100m	None	Data lineage A) Selection of features from [1], re-projection to LAEA (EPSG:3035), as described at [2] B) Rasterisation of selected EuroBoundaryMap features, in 100m resolution, see admin_boundaries_100m.sh [3] C) Import into GRASS, patching layers, export to GeoTIFF format, see [4] Parent dataset [1] EuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011 http://sdi.eea.europa.eu/internal-catalogue/?uuid=8cee3968-f302-48cc-a886-3f7d6ac36a7d Related dataset [2] Administrative units from EuroBoundaryMap and GAUL (raster 1000m) http://sdi.eea.europa.eu/internal-catalogue/?uuid=4c600ff2-5110-41b4-8267-821a880e8561 GIS tools used gdal_rasterize, from the GDAL - Geospatial Data Abstraction Library, http://gdal.org Source code for version 1.9.0dev taken from trunk (http://trac.osgeo.org/gdal/browser/trunk) GRASS - Geographic Resources Analysis Support System, http://grass.osgeo.org/ Source code for version 6.4.3svn taken from trunk (http://trac.osgeo.org/grass/browser/grass/trunk) [3] See file admin_boundaries_100m.sh [4] # GRASS import for f in *.tif ; do r.in.gdal $f out=${f%.tif}_100m done # Patching layers GRASS 6.4.3svn (laea): > r.patch input="EBMv5_NUTS_3_NUTS3_100m,EBMv5_EBM_A_TAA-EQ7_NUTS3_100m, EBMv5_EBM_A_TAA-EQ7_ICC_100m,EBMv5_EBM_A_AdministrativeUnits_AU_100m,EBMv5_EBM_A_TAA-LT5orEQ7_ICC_100m" output="EBMv5_NUTS3_AU_ICC_100m" # Export to GeoTIFF format GRASS 6.4.3svn (laea): > r.out.gdal EBMv5_NUTS3_AU_ICC_100m out=EBMv5_100m.tif createopt=COMPRESS=DEFLATE,TILED=YES nodata=0 type=Int32	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a6a9ee28-028e-4782-a3b1-369b1dbc5d9b	2010	2010	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_ebm-admin-units_2010	None	obsolete
4974b545-a8a9-4a55-b074-dc089edb5d29	None	Hillshade derived from the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM-PRE Hillshade, resolution 25 m)	None	None	None	None	None	The EU-DEM is a Digital Surface Model (DSM) representing the first surface as illuminated by the sensors. EU-DEM covers the EEA39 countries and it has been produced by a consortium led by Indra, Intermap edited the EUDEM and AGI provided the water mask. The EU-DEM is a 3D raster dataset with elevations captured at 1 arc second postings (2.78E-4 degrees) or about every 30 meter. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach. Ownership of EU-DEM belongs to European Commision, DG Enterprise and Industry. The projection onto an Inspire compliant grid of 25m resolution and the computation of a Hillshade raster derived from a slope and aspect datasets have been performed by the Joint Research Centre of the European Commission.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4974b545-a8a9-4a55-b074-dc089edb5d29.png	EPSG:3035	2019-06-04	None	Elevation|Hydrography	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	The Hillshade dataset has been created from the Slope and Aspect datasets derived from the EU-DEM projected to ETRS89/ETRS-LAEA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4974b545-a8a9-4a55-b074-dc089edb5d29	2000	2010	TRUE	None	Premilinary data delivered in the course of the GSGRDA* contract of DG ENTR. All data and descriptions herein are COMPANY CONFIDENTIAL and for EVALUATION purposes ONLY. They must stay strictly INTERNAL (i.e. within EU Institutions). Only after acceptance of the product by DG ENTR these data may be disclosed.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_25_m_gsgrda-eudem-hillshade_2012	None	obsolete
8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6	None	WISE GWB provisional dataset for horizon 4 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h4 comprises all GWBs located in the groundwater body horizon 4, which are usually underlying the groundwater bodies assigned to horizon 3. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 4 are collected in the shape GWB_horizon_h4 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ad4d9e9-8798-41e4-adfc-d4d7cc568fa6	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h4_2009-2011	None	obsolete
bd7d802f-f08d-4430-b514-362e8c443a6f	None	WISE GWB provisional dataset for horizon 5 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h5 comprises five GWBs situated in the French and Italian groundwater body horizon 5, which are usually underlying the groundwater bodies assigned to horizon 4. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd7d802f-f08d-4430-b514-362e8c443a6f.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 5 are aggregated in the shape GWB_horizon_h5 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd7d802f-f08d-4430-b514-362e8c443a6f	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h5_2009-2011	None	obsolete
f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f	None	WISE GWB provisional dataset for horizon 2 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h2 comprises all GWBs located in the groundwater body horizon 2. Depending on the applied method these Ground Water Bodies are either underlying the uppermost groundwater body horizon 1 or form the uppermost groundwater body resources in many parts of a MS. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 2 are aggregated in the shape GWB_horizon_h2 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5f3fd1a-d62b-4cfc-a769-fa1acfd08d1f	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h2_2009-2011	None	obsolete
227bba8d-ae07-49ec-8600-bc93c1d8d9d1	None	WISE GWB provisional dataset for horizon 1 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h1 comprises Ground Water Bodies of all countries but Estonia (all GWBs in horizon 0) and the United Kingdom, which are located in the usually uppermost horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/227bba8d-ae07-49ec-8600-bc93c1d8d9d1.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 1 are collected in the shape GWB_horizon_h1 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file. Due to licensing restrictions, UK data have been removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/227bba8d-ae07-49ec-8600-bc93c1d8d9d1	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h1_2009-2011	None	obsolete
a631fb3b-d171-4924-a44c-6e80d49fdabf	None	WISE GWB provisional dataset for horizon 3 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h3 comprises all GWBs located in the groundwater body horizon 3, which are usually underlying the groundwater bodies assigned to horizon 2. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a631fb3b-d171-4924-a44c-6e80d49fdabf.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 3 are aggregated in the shape GWB_horizon_h3 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a631fb3b-d171-4924-a44c-6e80d49fdabf	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h3_2009-2011	None	obsolete
79a5b6c5-da5a-4cc3-9200-406fb6b745fb	None	WISE GWB provisional dataset for Switzerland - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	Switzerland as a non EU member state delivers GWB data on a voluntary basis. All 124 GWBs submitted with the update in 2012 are allocated to horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/79a5b6c5-da5a-4cc3-9200-406fb6b745fb.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	Switzerland provided one shape file for each GWB. All of the GWBs are allocated to horizon 1 and are merged into a single shape file. The attribute table of the aggregated shape file includes the columns “GWB_Code” ,“GWB_Name” and “Horizon”. There is no matching to the Microsoft Excel table GWB_attributes_2012June.xls, which provides further GWB attributes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79a5b6c5-da5a-4cc3-9200-406fb6b745fb	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-ch_2009-2011	None	obsolete
840383d1-6e67-44fc-9763-b2c539805be8	None	WISE GWB provisional dataset for horizons 6 and 7 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h6_h7 comprises thirty-one Italian GWBs located in the groundwater body horizons 6 and 7 of Sardinia. These GWBs had been reported for the first time in 2012 as an update of the reporting. They are aggregated into one shape file to underline the position that a threshold of five horizons should not be exceeded. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/840383d1-6e67-44fc-9763-b2c539805be8.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 6 or horizon 7 are aggregated in the shape GWB_horizon_h6_h7 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/840383d1-6e67-44fc-9763-b2c539805be8	2009	2011	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h6-h7_2009-2011	None	obsolete
fe355506-b74e-43d5-82c4-ec3467d514d8	None	WISE GWB provisional dataset for horizon 0 - PUBLIC VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_public_h0 comprises all Ground Water Bodies of Spain lacking a horizon allocation and all GWBs of Estonia. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale†of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	https://www.eea.europa.eu/data-and-maps/data/wise-groundwater	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fe355506-b74e-43d5-82c4-ec3467d514d8.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs without horizon allocation are aggregated in the shape GWB_horizon_h0 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file. Due to licensing restrictions, UK data have been removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fe355506-b74e-43d5-82c4-ec3467d514d8	2009	2011	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-public-h0_2009-2011	None	obsolete
9622192a-cdf7-4924-8e16-54c8bb941b11	None	WISE GWB provisional dataset for horizon 5 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h5 comprises five GWBs situated in the French and Italian groundwater body horizon 5, which are usually underlying the groundwater bodies assigned to horizon 4. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9622192a-cdf7-4924-8e16-54c8bb941b11.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 5 are aggregated in the shape GWB_horizon_h5 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9622192a-cdf7-4924-8e16-54c8bb941b11	None	None	FALSE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h5_2009-2011	None	obsolete
956bda32-67cc-4af8-bea7-61ec02f45582	None	WISE GWB provisional dataset for horizon 2 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h2 comprises all GWBs located in the groundwater body horizon 2. Depending on the applied method these Ground Water Bodies are either underlying the uppermost groundwater body horizon 1 or form the uppermost groundwater body resources in many parts of a MS. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/956bda32-67cc-4af8-bea7-61ec02f45582.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 2 are aggregated in the shape GWB_horizon_h2 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956bda32-67cc-4af8-bea7-61ec02f45582	None	None	FALSE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h2_2009-2011	None	obsolete
3b933931-f2df-4d0b-8a8a-a2c02399b75c	None	WISE GWB provisional dataset for Switzerland - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	Switzerland as a non EU member state delivers GWB data on a voluntary basis. All 124 GWBs submitted with the update in 2012 are allocated to horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b933931-f2df-4d0b-8a8a-a2c02399b75c.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	Switzerland provided one shape file for each GWB. All of the GWBs are allocated to horizon 1 and are merged into a single shape file. The attribute table of the aggregated shape file includes the columns “GWB_Code” ,“GWB_Name” and “Horizon”. There is no matching to the Microsoft Excel table GWB_attributes_2012June.xls, which provides further GWB attributes.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b933931-f2df-4d0b-8a8a-a2c02399b75c	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-ch_2009-2011	None	obsolete
b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9	None	WISE GWB provisional dataset for horizon 0 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h0 comprises all Ground Water Bodies of Spain and the United Kingdom lacking a horizon allocation and all GWBs of Estonia. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale†of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs without horizon allocation are aggregated in the shape GWB_horizon_h0 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b8b0f93c-eaff-4fbd-83fa-b9e97581c9f9	None	None	FALSE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h0_2009-2011	None	obsolete
e9155857-b51e-4759-8299-f02b98f2cab7	None	WISE GWB provisional dataset for horizon 3 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h3 comprises all GWBs located in the groundwater body horizon 3, which are usually underlying the groundwater bodies assigned to horizon 2. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9155857-b51e-4759-8299-f02b98f2cab7.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 3 are aggregated in the shape GWB_horizon_h3 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9155857-b51e-4759-8299-f02b98f2cab7	None	None	FALSE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h3_2009-2011	None	obsolete
c08e3ce2-d0aa-4fbc-b768-083002f583b0	None	WISE GWB provisional dataset for horizon 4 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h4 comprises all GWBs located in the groundwater body horizon 4, which are usually underlying the groundwater bodies assigned to horizon 3. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c08e3ce2-d0aa-4fbc-b768-083002f583b0.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 4 are collected in the shape GWB_horizon_h4 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c08e3ce2-d0aa-4fbc-b768-083002f583b0	None	None	FALSE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h4_2009-2011	None	obsolete
2a50a20d-9de9-4201-baae-f49c9d0184bf	None	WISE GWB provisional dataset for horizon 1 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h1 comprises Ground Water Bodies of all countries but Estonia (all GWBs in horizon 0), which are located in the usually uppermost horizon 1. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a50a20d-9de9-4201-baae-f49c9d0184bf.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 1 are collected in the shape GWB_horizon_h1 regardless the structure of the shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using the column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a50a20d-9de9-4201-baae-f49c9d0184bf	2009	2011	TRUE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h1_2009-2011	None	obsolete
5542f1b8-bcda-40a8-9615-a87819770654	None	WISE GWB provisional dataset for horizons 6 and 7 - INTERNAL VERSION, Oct. 2012	None	None	None	None	None	The shape file GWB_horizon_h6_h7 comprises thirty-one Italian GWBs located in the groundwater body horizons 6 and 7 of Sardinia. These GWBs had been reported for the first time in 2012 as an update of the reporting. They are aggregated into one shape file to underline the position that a threshold of five horizons should not be exceeded. The dbf tables of the shape files include the columns “EU_CD_GW” as the GWB identifier and “Horizon” describing the vertical positioning. The polygon identifier “Polygon_ID” was added subsequently, because some GWBs consist of several polygons with identical “EU_CD_GW”even in the same horizon. Some further GWB characteristics are provided with the Microsoft Excel file “GWB_attributes_2012June.xls” including the column “EU_CD_GW”, which serves as a key for joining spatial and attribute data. There is no corresponding spatial data for GWBs in the Microsoft Excel table without an entry in column “EU_CD_GW”. The spatial resolution is given for about a half of the GWBs in the column “Scale” of the xls file, which is varying between the MS from 1:10,000 to 1:1,000,000 and mostly in the range from 1:50,000 to 1:250,000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5542f1b8-bcda-40a8-9615-a87819770654.png	None	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	aquifer|groundwater	vector	SHP	None	1:1000000	None	All GWBs assigned to horizon 6 or horizon 7 are aggregated in the shape GWB_horizon_h6_h7 regardless the structure of shape files submitted by the MS with affiliation to horizons, River Basin Districts or both. The attribute table includes the fields “EU_CD_GW”, “Horizon” and the artificial polygon identifier “Polygon_ID”. The linking between the shape file and the Microsoft Excel table GWB_attributes_2012June.xls, which comprises further attributes, has to be carried out using column EU_CD_GW as key for joining the dbf table of the shape file with the xls file.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5542f1b8-bcda-40a8-9615-a87819770654	2009	2011	TRUE	None	Data from UK not for dissemination.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_wise-gwb-h6-h7_2009-2011	None	obsolete
1c269e7d-5a86-465c-8a97-00df04fa7d80	None	EuroBoundaryMap - version 10, Feb. 2016	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. Feature catalogue: a) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A]) b) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x]) c) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary]) d) Label points (..) e) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority]) f) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x]) g) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x]) h) Names of administrative units [EBM_NAM] i) Designations of administrative hierarchical levels [EBM_ISN] j) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS]) k) Languages and character sets (Description of languages used in EBM [EBM_CHR]) l) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered]) The product EBM v10 is a full update of all countries. More details are available in EBM_v10_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c269e7d-5a86-465c-8a97-00df04fa7d80.png	None	2019-06-04	None	Administrative units	administrative boundary|national boundary|sub-national boundary	vector	FGeo	None	1:100000	None	Please refer to the documents EBM_v10_QualityReport.pdf and EBM_v10_Changes.pdf under EuroBoundaryMap_v10/Descriptions_Metadata	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c269e7d-5a86-465c-8a97-00df04fa7d80	None	None	FALSE	None	License For further details, refer to Licence/GISCO-LicenseconditionsforEuroGeographicsAdministrativeandTopographicspatialdatasets-080716-1335-618.pdf For dissemination to contractors, the form to be filled in and returned to Atanas Trifonov at Eurostat is available under Licence/Data_Request_Form_EuroGeographics.doc	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm_i_2015_v10_r00	None	superseded
d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2	None	Imperviousness changes 2006-2009, built-up changes 100m - Jan. 2013	None	None	None	None	None	Built-up changes (built-up area is area with degree of imperviousness between 1 and 100%) Classes: 0: Area outside of WR (Working Region) 1: Built-up increase 06-09 ('true' change derived by modelling) 2: Built-up 06 - built-up 09 (no change) 3: Built-up decrease 06-09 ('true' change derived by modelling) 4: Built-up 06 - clouds 09 (no update possible) 5: Non built-up 06 - clouds09 (no update possible) 6: Built-up 09 - clouds 06 (only status information 2009) 7: Non built-up 09 - clouds06 (only status information 2009) 8: Clouds 2006 - clouds 2009 (no information available) 9: Non built-up 06 - non built-up 09 (no change)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Not available.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9df4282-31e5-4b3b-85c3-9e1d2d0a50d2	None	None	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_built-up-changes_2006-2009	None	obsolete
1e30596c-10a8-48e2-81ab-1dd42962d701	None	Imperviousness changes 2006-2009, changes 20m - Jan. 2013	None	None	None	None	None	Raster datasets indicating changes in degrees of imperviousness. All changes included in the data, regardless of their spatial extent or degree. Changes are expressed as follows: Degree 2009 – Degree 2006 + 100. Classes: 0–99: Decreased imperviousness density 100: Unchanged areas with degrees of imperviousness between 1 and 100 101–200:Increased imperviousness density 201: Unchanged areas with degree of imperviousness of 0 251: unclassifiable (no satellite image available, or clouds, shadows, or snow) in 2006 252: unclassifiable (no satellite image available, or clouds, shadows, or snow) in 2009 253: unclassifiable (no satellite image available, or clouds, shadows, or snow) in 2006 and 2009 255: Area outside of working region	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e30596c-10a8-48e2-81ab-1dd42962d701.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Not available.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e30596c-10a8-48e2-81ab-1dd42962d701	None	None	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_imperviousness-changes_2006-2009	None	obsolete
5ebd8e77-c111-4d32-a920-517b5274c17b	None	Revised Soil Sealing 2006, degrees of sealing 20m - Jan. 2013	None	None	None	None	None	Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (20 x 20 m). Classes: 0: Unsealed 1-100: Degrees of Sealing / Imperviousness 254: Clouds, No data 255: Outside area	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5ebd8e77-c111-4d32-a920-517b5274c17b.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5ebd8e77-c111-4d32-a920-517b5274c17b	None	None	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_revised-soil-sealing-degrees_2006	None	obsolete
b3865a4f-43d2-465f-8ead-994f47b94035	None	Revised Soil Sealing 2006, 20m sealing degrees adaptations - Jan. 2013	None	None	None	None	None	Raster data set of adaptations in built-up area done during the revision of the Sealing Degrees layer 2006. Classes: 0: Area outside of working area 1: Built-up 2: Non built-up 3: Removed 4: Added 5: No data	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b3865a4f-43d2-465f-8ead-994f47b94035.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3865a4f-43d2-465f-8ead-994f47b94035	None	None	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_revised-soil-sealing-degrees-adaptations_2006	None	obsolete
82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3	None	Imperviousness 2009, built-up mask 20m - Jan. 2013	None	None	None	None	None	The built-up mask is the status map of 2009. It contains all available built-up information. It is derived from the Imperviousness Degrees product. The built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas. Classes: 0: Area outside of WR 1: Discontinuous Built-up 2009 - Sealing Levels 1-79% 2: Continuous Built-up 2009 - Sealing Levels 80-100% 3: Non built-up 2009 4: Clouds 09 (excluding built-up 06 within clouds 09)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82ceaa07-ea90-4dbe-a2bd-85b9b7ad9cb3	None	None	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_imperviousness-built-up-mask_2009	None	obsolete
e52a9d6b-402d-4926-a3ad-d098ca3a3315	None	Imperviousness 2009 - Jan. 2013	None	None	None	None	None	The imperviousness 2009 datasets produced by Geoland consist in: - one dataset about degrees of imperviousness at 20m resolution - one dataset about degrees of imperviousness at 100m resolution - one dataset containing the number of 20m pixels used to create the 100m resolution dataset about degrees of imperviousness - one built-up mask at 20m resolution - one built-up mask at 100m resolution	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e52a9d6b-402d-4926-a3ad-d098ca3a3315.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the report entitled "Delivery Report Revised Soil Sealing 2006 products EEA-38" for general information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e52a9d6b-402d-4926-a3ad-d098ca3a3315	None	None	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_xxx_m_imperviousness_2009	None	obsolete
06f9055f-4467-4167-a48e-3358134c6fcd	None	Revised Soil Sealing 2006, built-up mask 100m - Jan. 2013	None	None	None	None	None	The built-up mask is the status map of 2006. It contains all available built-up information. It is derived from the Sealing Degrees product. The built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas. Classes: 0: Area outside of WR 1: Discontinuous Built-up 2006 - Sealing Levels 1-79% 2: Continuous Built-up 2006 - Sealing Levels 80-100% 3: Non built-up 2006 4: Clouds 2006	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/06f9055f-4467-4167-a48e-3358134c6fcd.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06f9055f-4467-4167-a48e-3358134c6fcd	2006	2006	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_revised-soil-sealing-built-up-mask_2006	None	obsolete
32d946b6-4d60-4108-bcdb-2b2e2fec5477	None	Revised Soil Sealing 2006, degrees of sealing 100m - Jan. 2013	None	None	None	None	None	Raster data set of built-up and non built-up areas including continuous degree of soil sealing ranging from 0 - 100% in spatial resolution (100 x 100 m). Classes: 0: Unsealed 1-100: Degrees of Sealing / Imperviousness 254: Clouds, No data 255: Outside area	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/32d946b6-4d60-4108-bcdb-2b2e2fec5477.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/32d946b6-4d60-4108-bcdb-2b2e2fec5477	2006	2006	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_revised-soil-sealing-degrees_2006	None	obsolete
2e24b906-26e8-4217-baf3-45d159af910b	None	Imperviousness changes 2006-2009, changes 100m - Jan. 2013	None	None	None	None	None	Imperviousness Changes 2006 - 2009 (recalculation in 2012) Classes: 0-99: decreased imperviousness density 100: unchanged areas with imperviousness degrees of 1-100 101-200: increased imperviousness density 201: unchanged areas with imperviousness degrees of 0 (unsealed in 2006 and 2009) 254: unclassifiable (no satellite image available, or clouds, shadows, or snow) 255: outside area	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e24b906-26e8-4217-baf3-45d159af910b.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Not available.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e24b906-26e8-4217-baf3-45d159af910b	2006	2009	TRUE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_imperviousness-changes_2006-2009	None	obsolete
af565a00-fbd9-4fc4-a6f1-c942238b124e	None	Revised Soil Sealing 2006, built-up mask 20m - Jan. 2013	None	None	None	None	None	The built-up mask is the status map of 2006. It contains all available built-up information. It is derived from the Sealing Degrees product. The built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas. Classes: 0: Area outside of WR 1: Discontinuous Built-up 2006 - Sealing Levels 1-79% 2: Continuous Built-up 2006 - Sealing Levels 80-100% 3: Non built-up 2006 4: Clouds 2006	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af565a00-fbd9-4fc4-a6f1-c942238b124e.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the country reports under geoland2_r_3035_xxx_m_revised-soil-sealing_2006/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af565a00-fbd9-4fc4-a6f1-c942238b124e	2006	2006	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_revised-soil-sealing-built-up-mask_2006	None	obsolete
2b830f7a-af1a-48d2-a066-67d1958f9773	None	Imperviousness 2009, 100m degrees of imperviousness metadata - Jan. 2013	None	None	None	None	None	Raster dataset containing the number of valid 20m cells used for each 100m cell of the degrees of soil sealing dataset at 100m resolution. Classes: 0: Outside area 1-25: Value of each 100 m pixel is number of valid 20 m source pixels that were used for averaging the full resolution (20 x 20 m) layer by a 5 x 5 pixel sized window	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b830f7a-af1a-48d2-a066-67d1958f9773.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b830f7a-af1a-48d2-a066-67d1958f9773	2009	2009	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_imperviousness-degrees-metadata_2009	None	obsolete
34ad8f74-1670-4172-88bf-e8dd6753fc6f	None	Imperviousness changes 2006-2009, built-up changes 20m - Jan. 2013	None	None	None	None	None	Built-up changes (built-up area is area with degree of imperviousness between 1 and 100%) Classes: 0: Area outside of WR (Working Region) 1: Built-up increase 06-09 ('true' change derived by modelling) 2: Built-up 06 - built-up 09 (no change) 3: Built-up decrease 06-09 ('true' change derived by modelling) 4: Built-up 06 - clouds 09 (no update possible) 5: Non built-up 06 - clouds09 (no update possible) 6: Built-up 09 - clouds 06 (only status information 2009) 7: Non built-up 09 - clouds06 (only status information 2009) 8: Clouds 2006 - clouds 2009 (no information available) 9: Non built-up 06 - non built-up 09 (no change)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34ad8f74-1670-4172-88bf-e8dd6753fc6f.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Not available.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34ad8f74-1670-4172-88bf-e8dd6753fc6f	2006	2009	TRUE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_20_m_built-up-changes_2006-2009	None	obsolete
d58753d5-4833-4720-8fec-88420994d2fc	None	Imperviousness 2009, built-up mask 100m - Jan. 2013	None	None	None	None	None	The built-up mask is the status map of 2009. It contains all available built-up information. It is derived from the Imperviousness Degrees product. The built-up mask is divided into two classes (imperviousness below 80% vs imperviousness of 80% or more) to reflect common definitions of urban areas. Classes: 0: Area outside of WR 1: Discontinuous Built-up 2009 - Sealing Levels 1-79% 2: Continuous Built-up 2009 - Sealing Levels 80-100% 3: Non built-up 2009 4: Clouds 09 (excluding built-up 06 within clouds 09)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d58753d5-4833-4720-8fec-88420994d2fc.png	EPSG:3035	2019-06-04	None	Land cover	built environment|sealing|soil surface sealing	grid	GTiff	None	100m	None	Refer to the country reports under geoland2_r_3035_xxx_m_imperviousness_2009/documentation.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d58753d5-4833-4720-8fec-88420994d2fc	2009	2009	FALSE	None	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_100_m_imperviousness-built-up-mask_2009	None	obsolete
a5c1ad0a-497b-44b2-a4c5-cd7cf7d24d93	None	Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a5c1ad0a-497b-44b2-a4c5-cd7cf7d24d93.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5c1ad0a-497b-44b2-a4c5-cd7cf7d24d93	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_1990-2000_rev16	None	obsolete
3e75ef70-d21d-4884-a011-93a117153b4a	None	Corine Land Cover 1990 - 2000 changes, formation code in changed areas (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3e75ef70-d21d-4884-a011-93a117153b4a.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e75ef70-d21d-4884-a011-93a117153b4a	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_1990-2000_rev17	None	obsolete
ae034043-d8df-4a91-88da-bc7b7269af08	None	Corine Land Cover 2006 (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ae034043-d8df-4a91-88da-bc7b7269af08.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2006 vector v17 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ae034043-d8df-4a91-88da-bc7b7269af08	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2006_rev17	None	obsolete
7bd28405-0f3f-4737-830a-ee80762c6aaf	None	WISE River basin districts subunits (RBDSU) - version 1.4, Jun. 2011	None	None	None	None	None	River Basin Districts (RBDs) and/or their subunits are the main units for the management of river basins and have been delineated by Member States under Article 3 of the Water Framework Directive. The geographic area of some RBDs span more than one country (such as the Danube) and these are known as International RBDs. Others are contained completely within a country and are known as National RBDs. River basin districts are defined as the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. Coastal waters are defined as one nautical mile from the coastline and extending, where appropriate, up to the outer limit of transitional waters. Coastal waters are included in RBDs, but this is not consistenly reported by Member States. Transitional waters are defined as bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. For more information about European waters, please visit the WISE portal (http://water.europa.eu/).	https://www.eea.europa.eu/data-and-maps/data/wise-river-basin-districts-rbds-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7bd28405-0f3f-4737-830a-ee80762c6aaf.png	EPSG:3035	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Hydrography	None	vector	FGeo	None	1:250000	None	Refer to pdf document eea_v_3035_250_k_rbd-f1v4_2011_rev1-4_dataset_lineage.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7bd28405-0f3f-4737-830a-ee80762c6aaf	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_rbd-f1v4_2011_rev1-4	None	obsolete
c03d5339-1dbc-4824-ad82-7133ad403def	None	Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c03d5339-1dbc-4824-ad82-7133ad403def.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c03d5339-1dbc-4824-ad82-7133ad403def	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev17	None	obsolete
5bab728a-4dac-46e5-9fb5-6690b5e45274	None	Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 16, Aug. 2011	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5bab728a-4dac-46e5-9fb5-6690b5e45274.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bab728a-4dac-46e5-9fb5-6690b5e45274	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev16	None	obsolete
5ac1edb6-0d64-40cc-af26-44f85b10123a	None	Corine Land Cover 2000 - 2006 changes, consumption code in changed areas (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5ac1edb6-0d64-40cc-af26-44f85b10123a.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5ac1edb6-0d64-40cc-af26-44f85b10123a	2000	2006	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_2000-2006_rev16	None	obsolete
9a5cbe13-0f9f-4cb6-b57d-96dc30c196c1	None	WISE River basin districts (RBD) - version 1.3, Jun. 2008	None	None	None	None	None	Water Framework Directive (WFD) Article 3 river basin districts (RBDs) v1.3. Definition in WFD: River basin district means the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is identified under Article 3(1) as the main unit for management of river basins. MS did not consistently include coastal waters in the RBD deliveries. Geographical coverage: EU Member States + Norway + Switzerland + neighbouring, international RBDs in non-EU Member States (derived from CCM1 catchments, JRC). The feature layer can be divided into four groupings by the following queries (in ArcGIS: copy and paste the query into the 'Definition Query' window in the layer properties): EU Member State RBDs: [EU_MS] = 'Y'; non-EU Member State RBDs: [EU_MS] = 'N' AND [intCode] = ''; EU Member State international RBDs: [INTERNATIONAL] = 'Y' AND [EU_MS] = 'Y'; Non-EU Member State international RBDs: [EU_MS] = 'N' AND [INTERNATIONAL] = 'Y'.	https://www.eea.europa.eu/data-and-maps/data/wise-river-basin-districts-rbds	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a5cbe13-0f9f-4cb6-b57d-96dc30c196c1.png	EPSG:3035	2019-06-04	None	Hydrography	None	vector	SHP	None	1:100000	None	The European feature layer was originally created from country submissions under WFD, Art. 3, by JRC. Member States were asked to deliver data preferably at scale 1:250 000 but scale 1:1 000 000 were accepted. The European feature layer was further processed by WRc: 'Districts.shp' was downloaded from the JRC WISE website on June 2007 using the Synchronise Shape Files function. The European dataset were border harmonised using EuroGlobalMap 1:1 000 000 boundaries. The resulting dataset is considered as 1:1 000 000, even if individual RBDs may be much more detailed. The dataset was processed so the four RBD groupings (EU Member State/non-EU Member State, international/non-international) can be identified, see Abstract. The feature layers was handed over to EEA December 2007. CHANGES:Changes done at EEA in Jan-Feb 2008, version F1v0: The four feature layers (the four RBD groupings) from WRc were merged into one single feature layer to ensure geometrical consistency between the layers. Updates of Norwegian and Swedish RBDs. Geometry was corrected (gaps and overlaps removed). New attributes was appended. Changes from F1v0 to F1v1: Only changes in the attributes because of requirements in the WISE viewer. The 'ID' field was re-introduced. Corrections in 'MSCD_RBD' field. Changes from F1v1 to F1v2: Corrections in 'MSCD_RBD' field and corrections of Elbe and Odra geometries. Changes from F1v2 to F1v3: Updates of Spanish and Bulgarian RBDs. Corrections in 'MSCD_RBD' field so data reported under Art. 3 and Art. 8 are identical. 'RBD_HYCODE' populated for non-EU Member States international RBDs. Process steps:Description: 1. Removing overlaps (ESRI Topology extension, default cluster tolerance 0.001m) Resource name: msDistricts and NonEUmsDistricts Resource date: 20071219 Description: a. Rule applied: Must Not Overlap Description: b. Subtract overlaps with the Fix Topology tool . Description: 2. Removing gaps. (tools Union and Eliminate, default cluster tolerance 0.001m) Description: a. Union with no gaps allowed. Description: b. Select ID = '-1' and Eliminate Description: c. Re-calculate geometry Description: 3. Append new attributes Resource name: Attributes made by Gabriela Vincze (Umweltsbundesamt, Vienna) Resource date: 20080206 Description: a. OBJECTID: ID Description: b. NAME: Name of RBD (native language) Description: c. LGE_ID: Language ID Description: d. CTY_ID: Code for the country the part of the river basin dirtrict is lying in Description: e. NAME_ENGL: Name of RBD (english) Description: f. AREAKM2: Area calculated in ArcGIS in square kilometers Description: g. EUCD_RBD: Unique RBD code, identifying national RBDs (laying completely within a MS) and international RBDs (without country codes) Description: h. EUCD_NATRBD: Unique RBD code, identifying national RBDs (laying completely within a MS) and national pars of international RBDs (including the country code) Description: i. MSCD_RBD: Unique RBD code submitted by MS via WFD Art. 3 reporting, national RBD code. This field is essential to the WISE viewer. Description: j. intCode: RBD codes for non EU countries Description: k. HYD_SYST_OCEANS: Name of the Hydrosystem (Oceans) Description: l. HYD_SYST_SEA: Name of the Seas Description: m. ISLANDS: Islands Description: n. RBD HYCODE: Hydrological code of the RBDs (without country code; national RBDs and international RBDs) Description: o. natRBD HYCODE: Hydrological code of the national RBDs Description: p. SEA: Code of the hydrosystem and the sea Description: q. INTERNATIONAL: Identification of national and international RBDs Description: r. EU_MS: Identification if the country is EU member or not Description: s. UPDATE_WHEN: Date of the update of the dataset by MS Description: t. UPDATE_BY: Code of the MS/Person who updated the data Description: v. META_ID: Link to metadata Description: w. INS_WHEN: Moment of the insertion in the database Description: x. INS_BY: Acronym of the operator Description: y. ID: ID essential to WISE viewer Description: z. Shape_Leng: Calculated length Description: aa. Shape_Area: Calculated area	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a5cbe13-0f9f-4cb6-b57d-96dc30c196c1	2007	2007	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_rbd-f1v3_2008_rev1-3	None	obsolete
b39c998d-fcb4-4284-811a-914db3cf6009	None	Corine Land Cover 2000 (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b39c998d-fcb4-4284-811a-914db3cf6009.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 vector v17 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b39c998d-fcb4-4284-811a-914db3cf6009	2000	2000	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2000_rev17	None	obsolete
59f2acf3-4e1e-48ca-8234-0aeb5ff8295d	None	Corine Land Cover 2000 - 2006 changes, formation code in changed areas (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/59f2acf3-4e1e-48ca-8234-0aeb5ff8295d.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 - 2006 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59f2acf3-4e1e-48ca-8234-0aeb5ff8295d	2000	2006	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-formation_2000-2006_rev17	None	obsolete
c25f1742-59b5-485c-96f5-41319feafe56	None	Corine Land Cover 1990 - 2000 changes, consumption code in changed areas (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c25f1742-59b5-485c-96f5-41319feafe56.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 - 2000 changes (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c25f1742-59b5-485c-96f5-41319feafe56	1990	2000	TRUE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-changes-consumption_1990-2000_rev17	None	obsolete
49650a38-1d2a-4678-8713-8b2d6fe82366	None	Corine Land Cover 1990 (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/49650a38-1d2a-4678-8713-8b2d6fe82366.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 1990 vector v17 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49650a38-1d2a-4678-8713-8b2d6fe82366	1990	1990	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_1990_rev17	None	obsolete
182278ba-dadf-44f7-93a9-4f516dc4d912	None	Corine Land Cover 2000 (raster 250m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/182278ba-dadf-44f7-93a9-4f516dc4d912.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 2000 vector v17 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/182278ba-dadf-44f7-93a9-4f516dc4d912	2000	2000	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2000_rev17	None	obsolete
1e13d0a3-5085-43b5-aa10-672781f9b4d0	None	Corine Land Cover 1990 (raster 250m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-1990-raster-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e13d0a3-5085-43b5-aa10-672781f9b4d0.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 1990 vector v17 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e13d0a3-5085-43b5-aa10-672781f9b4d0	1990	1990	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_1990_rev17	None	obsolete
7a53f7fa-a3db-4e51-b52f-4285de6ab7b2	None	Corine Land Cover 2006 (raster 250m) - version 17, Dec. 2013	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2006-raster-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7a53f7fa-a3db-4e51-b52f-4285de6ab7b2.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 2006 vector v17 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a53f7fa-a3db-4e51-b52f-4285de6ab7b2	2006	2006	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2006_rev17	None	obsolete
e16f6034-0de1-4c37-9606-b5590df1d2e5	None	Corine Land Cover 2000 seamless (vector) - version 17, Dec. 2013	None	None	None	None	None	CLC00 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.europa.eu	https://www.eea.europa.eu/data-and-maps/data/clc-2000-vector-6	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e16f6034-0de1-4c37-9606-b5590df1d2e5.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa- Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edgematching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Border harmonization step has been skipped for CHA06 dataset and for CLC00 revised dataset. Simplified border harmonization step for CLC06 dataset has been created for these countries: CH, NO, KO, TR, IE. A simplified border matching has been applied: - <25 ha polygons are NOT systematically removed (see next bullet). - Sliver-like polygons (area < cca. 5 ha - soft limit) are generalised to largest or thematically most similar neighbour. - CLC-code differences in polygons along two sides of the border are NOT changed Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Version 17 (V7) (12/2013) Production date: December 2nd, 2013 Release history: V7: 12/2013-Upgraded version -New part - Azores (PT) has been added V6: 04/2012-Upgraded version - New country - Turkey has been added. - Border matching for TR is not applied. - Polygons with change code 999-999 has been deleted. - Very small polygons which are not part of complex change or are not along country borders has been deleted. - Reprojected CHA00 data for Malta are included. Contains data for 29 countries V5: 07/2011 No changes between V4 and V5 Contains data for 28 countries V4: 10/2010 - Upgraded version - Provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Madeira Islands included - Contains data for 28 countries V3: 04/2010 - Upgraded version - provided as seamless Geodatabase in ETRS89/LAEA1052 CRS - Turkey included - Sea buffer (25km) introduced V2: 10/2009 - Upgraded version - tile borders artefacts reported by users corrected - new tiling introduced based on ETRS89/LAEA1052 grid - Norway included V1: 08/2005 - First release - in A/I Librarian in ETRS89 CRS - tiling follows IMAGE2000 tiling	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e16f6034-0de1-4c37-9606-b5590df1d2e5	2000	2000	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2000_rev17	None	obsolete
d815c410-609d-4fb9-9062-94c3f0c14227	None	Corine Land Cover 2000 (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	https://www.eea.europa.eu/data-and-maps/data/clc-2000-raster-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d815c410-609d-4fb9-9062-94c3f0c14227.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 vector v16 (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d815c410-609d-4fb9-9062-94c3f0c14227	2000	2000	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2000_rev16	None	obsolete
6b16b9ef-9d98-4660-a65e-b1632211139d	None	Corine Land Cover 2000 revised (raster 250m) - version 17, Dec. 2013	None	None	None	None	None	CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6b16b9ef-9d98-4660-a65e-b1632211139d.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 2000 revised (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b16b9ef-9d98-4660-a65e-b1632211139d	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc-revised_2000_rev17	None	obsolete
264e1b72-4b2f-4d99-810a-0b15aa25a9f6	None	Corine Land Cover 2000 revised (vector) - version 17, Dec. 2013	None	None	None	None	None	CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/264e1b72-4b2f-4d99-810a-0b15aa25a9f6.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 16 (V1) (04/2012) Production date: April 15th, 2012 Release history: V1: 04/2012 -Initial version 27 countries included	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/264e1b72-4b2f-4d99-810a-0b15aa25a9f6	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-revised_2000_rev17	None	obsolete
1662486f-e44c-45a6-bdbe-f3dc34ba7775	None	Corine Land Cover 2000 revised (raster 100m) - version 17, Dec. 2013	None	None	None	None	None	CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1662486f-e44c-45a6-bdbe-f3dc34ba7775.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 revised (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1662486f-e44c-45a6-bdbe-f3dc34ba7775	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-revised_2000_rev17	None	obsolete
cf62444f-8638-4e43-aef1-edc8d08004d4	None	Corine Land Cover 2000 revised (raster 100m)	None	None	None	None	None	CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cf62444f-8638-4e43-aef1-edc8d08004d4.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2000 revised (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_100.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cf62444f-8638-4e43-aef1-edc8d08004d4	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-revised_2000	None	obsolete
d5cd5820-90dd-4aaa-b66c-106786692f33	None	Corine Land Cover 2000 revised (raster 250m)	None	None	None	None	None	CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to revision of land cover / land use status of year 2000. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d5cd5820-90dd-4aaa-b66c-106786692f33.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Input data: Corine Land Cover 2000 revised (file geodatabase v10) Rasterisation using gdal_rasterize from GDAL 1.9.0 command line utilities - Loop through the list of layers, and generate the layers as defined there, see the shell script [0] and the list of layers (layer_code.list) [1]. - Thereby translating the 3-digit CLC codes (111...999) into grid codes within the 8-bit range (0...44), see clc_legend.csv [2] - And eventually adding the usual CLC colour table to the generated GeoTIFF, by using a pre-defined vrt file, see [3] [0]: docs/rasterize.sh [1]: docs/layer_code.list [2]: docs/clc_legend.csv [3]: docs/legend_250.vrt	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d5cd5820-90dd-4aaa-b66c-106786692f33	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc-revised_2000	None	obsolete
1930445c-d742-4ed0-9ca1-f5a6d6059fe2	None	Corine Land Cover 2000 revised (vector)	None	None	None	None	None	CLC00_revised is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2000. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1930445c-d742-4ed0-9ca1-f5a6d6059fe2.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	FGeo|SQLite	None	1:100000	None	Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. Changes: Vector CLC database was provided by National Teams within original CLC1990, I&CLC2000 update and FTSP/CLC2006 update projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless DBs represent the final product of European data integration. The process of data integration started when national deliveries have been accepted and the Database Acceptance Report (DBTA) delivered . Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard European coordinate reference - ETRS89/LAEA1052. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC data resolution (for more details see the DBTA reports for particular country). National data, when transformed into the common European reference, are introduced into tiled pan-European structure and as final step seamless dataset is produced. In order to achieve production of the real seamless European database, the integration step includes also harmonization of database along country borders. It consists from edge-matching of land cover polygons from the national databases across national borders done by a verification / re-interpretation of the satellite images in the border regions (2 km wide strip along borders). The satellite images from IMAGE2000. CLC90, CHA00 and CLC00 database were harmonized this way, but the order to priority was as following: CLC2000, both geometric and thematic adaptations of all polygons in a 2 km strip along national boundary lines; CHA00 database to ensure that changes in CLC2000 are consistent with the change database; corrected CLC90 (if provided by the MS); corrections were focused to geometric adaptations in semi-automatical way based on CLC00 and CHA00 databases. Note: Some artificial lines (dividing polygons with the same code) can be still present in database due to technical constraints of current ArcGIS technology, but has no impact for dataset contents and can be dissolved for data extracts. CHANGES:Version 16 (V1) (04/2012) Production date: April 15th, 2012 Release history: V1: 04/2012 -Initial version 27 countries included	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1930445c-d742-4ed0-9ca1-f5a6d6059fe2	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-revised_2000	None	obsolete
06247452-8362-4048-be1e-466ceeaeed78	None	EGM EuroGlobalMap Coastlines v2.2	None	None	None	None	None	EuroGlobalMap is a topographic dataset that covers the EU (except Bulgaria), Andorra, Croatia, Faroe Islands, Greenland, Iceland, Liechtenstein, Moldova, Monaco, Norway, San Marino, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: administrative boundaries, hydrography, transportation, settlements, elevation points, named location. This metadata only refers to the coastline from EuroGlobalMap.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/06247452-8362-4048-be1e-466ceeaeed78.png	EPSG:4326	2019-06-04	None	Elevation	None	vector	SHP	None	1:1000000	None	The creation of this dataset is a joint effort of European National Mapping Agencies (NMAs). A listing of all partners and contact information is given in the respective metadata sections. Project Coordinator is the National Land Survey (NLS) of Finland. Additionally there are 4 Regional Coordinators (Finland, France, Germany and Ireland) and 3 Subregional Coordinators (Estonia, Greece and Spain). The National Mapping Agencies of each of the participating countries are responsible for the map elements of the areas of their respective countries. Process steps: Each data supplier has converted its analogue and digital data into the EuroGlobalMap specifications observing the EGM Technical guidelines. Details about these processes and country specific extraction peculiarities can be found in the national lineage sections. Subregional and Regional Coordinators performed thorough interactive and automatic quality checking on the delivered data. Subsequently the coordinators compiled the national contributions into a seamless harmonized dataset, referring to international boundaries with common geometry agreed by all partners. The harmonisation process followed the rules laid down in the EGM Specifications and Technical Guidelines. Corresponding procedures were later applied to harmonize the data between EGM regions to compile the final EGM dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/06247452-8362-4048-be1e-466ceeaeed78	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_1_mio_egm-coastline_2006_rev22	None	obsolete
8bb89ffa-9b55-4e23-99eb-d9164f388aff	None	EuroBoundaryMap (full European coverage) - version 4.0, Jan. 2009	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v4.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes. Feature catalogue: a) Administrative units (Area controlled by an administrative unit [EBM_A]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EuroBoundaryMap_v40_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bb89ffa-9b55-4e23-99eb-d9164f388aff.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) see national lineage file All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rulesdescribed in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bb89ffa-9b55-4e23-99eb-d9164f388aff	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-europe_i_2008_v04_r00	None	superseded
d776d0a5-0a0c-4fb3-a05e-c61ec2f8e5ba	None	EuroBoundaryMap (full European coverage) - version 6.0, Apr. 2012	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v6.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes. Feature catalogue: a) Administrative units (Area controlled by an administrative authority [EBM_A]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EBM_v60_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cee3968-f302-48cc-a886-3f7d6ac36a7d.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) see national lineage file All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rules described in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d776d0a5-0a0c-4fb3-a05e-c61ec2f8e5ba	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-europe_i_2011_v06_r00	None	superseded
ba91d1ee-10c8-4d72-a31b-20caa3504390	None	EuroBoundaryMap (individual countries) - version 3.0, Jan. 2008	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping Agencies (NMAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100.000) offers the combined strength of detailed European administrative units and the linkage to its corresponding NUTS codes. a) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P where XX is a country code]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L where XX is a country code]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EuroBoundaryMap_v30_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ba91d1ee-10c8-4d72-a31b-20caa3504390.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|PGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) See national lineage files All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rulesdescribed in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ba91d1ee-10c8-4d72-a31b-20caa3504390	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-countries_i_2007_v03_r00	None	superseded
8cee3968-f302-48cc-a886-3f7d6ac36a7d	None	EuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v5.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes. Feature catalogue: a) Administrative units (Area controlled by an administrative authority [EBM_A]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EuroBoundaryMap_v50_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8cee3968-f302-48cc-a886-3f7d6ac36a7d.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) see national lineage file All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rulesdescribed in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8cee3968-f302-48cc-a886-3f7d6ac36a7d	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-europe_i_2010_v05_r00	None	superseded
fdb7acc4-fae1-4990-9409-a8dfe22176ae	None	EuroBoundaryMap (individual countries) - version 5.0, Jan. 2011	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v5.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes. Feature catalogue: a) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P where XX is a country code]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L where XX is a country code]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EuroBoundaryMap_v50_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fdb7acc4-fae1-4990-9409-a8dfe22176ae.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) see national lineage file All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rulesdescribed in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fdb7acc4-fae1-4990-9409-a8dfe22176ae	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-countries_i_2010_v05_r00	None	superseded
9b32607e-c99c-4050-a9e1-2113cf92e07e	None	EuroBoundaryMap (individual countries) - version 4.0, Jan. 2009	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs). EuroGeographics is providing harmonized access conditions for this reference data. EBM v4.0 (1:100.000) offers the combined strength of detailed European administrative units and the linkage to corresponding NUTS codes. Feature catalogue: a) Administrative units (Area controlled by an administrative unit [XX_A where XX is a country code]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [XX_P where XX is a country code]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [XX_L where XX is a country code]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EuroBoundaryMap_v40_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9b32607e-c99c-4050-a9e1-2113cf92e07e.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) see national lineage file All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rulesdescribed in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9b32607e-c99c-4050-a9e1-2113cf92e07e	2008	2008	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-countries_i_2008_v04_r00	None	superseded
ec110dd8-598a-4d6a-8f5a-7027ff111aa8	None	EuroBoundaryMap (full European coverage) - version 3.0, Jan. 2008	None	None	None	None	None	EuroBoundaryMap (formerly known as SABE - Seamless Administrative Boundaries of Europe) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping Agencies (NMAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100.000) offers the combined strength of detailed European administrative units and the linkage to its corresponding NUTS codes. a) Administrative units (Area controlled by an administrative unit [EBM_A]) b) Label points (Reference point for the main area of an administrative unit, can be used for labelling purposes [EBM_P]) c) Administrative boundaries (A line of demarcation between administrative controlled areas [EBM_L]) d) Derived units on higher national levels (Administrative units on higher hierarchical levels (USE-Regions [USE_X]), Derived national NUTS regions [NUTS_X]) More details are available in EuroBoundaryMap_v30_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec110dd8-598a-4d6a-8f5a-7027ff111aa8.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	FGeo|PGeo|SHP	None	1:100000	None	complete dataset covering all countries listed in "geographic description" (ISO-ID 348) See national lineage files All features have been populated and have valid attribute values in accordance with the specification (see national metadata files). All data were consistently captured using the rulesdescribed in the specification (see national metadata files).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec110dd8-598a-4d6a-8f5a-7027ff111aa8	2007	2007	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4326_100_k_ebm-europe_i_2007_v03_r00	None	superseded
658f9a54-2820-46b0-9e2c-961f43e38154	None	EuroBoundaryMap (full European coverage) - version 8.1, Apr. 2014	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. The product EBM v8.1 is a full update of all countries. Feature catalogue: a) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A]) b) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x]) c) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary]) d) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority]) e) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x]) f) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x]) g) Names of administrative units [EBM_NAM] h) Designations of administrative hierarchical levels [EBM_ISN] i) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS]) j) Languages and character sets (Description of languages used in EBM [EBM_CHR]) k) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered]) More details are available in EBM_v81_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/658f9a54-2820-46b0-9e2c-961f43e38154.png	None	2019-06-04	None	Administrative units	None	vector	FGeo|Fgeo	None	1:100000	None	Please refer to the documents EBM_v81_QualityReport.pdf and EBM_v81_Changes.pdf under EuroBoundaryMap_v81/Descriptions_Metadata	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/658f9a54-2820-46b0-9e2c-961f43e38154	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm-europe_i_2013_v08_r01	None	superseded
8c73e988-50a7-4707-a835-a2ad2fcd8c5a	None	EuroBoundaryMap - version 9.1, Jun. 2015	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. Feature catalogue: a) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A]) b) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x]) c) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary]) d) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority]) e) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x]) f) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x]) g) Names of administrative units [EBM_NAM] h) Designations of administrative hierarchical levels [EBM_ISN] i) Relation to LAU and NUTS classification (Relationship between the SHN codes of administrative units on lowest national administrative level and corresponding statistical codes. [EBM_NUTS]) j) Languages and character sets (Description of languages used in EBM [EBM_CHR]) k) Co-administered units (Relationship between administrative unit and its co-administering administrative units on the same hierarchical level [EBM_coAdministered]) The product EBM v9.1 is a full update of all countries. More details are available in EBM_v91_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8c73e988-50a7-4707-a835-a2ad2fcd8c5a.png	None	2019-06-04	None	Administrative units	None	vector	FGeo	None	1:100000	None	Please refer to the documents EBM_v91_QualityReport.pdf and EBM_v91_Changes.pdf under EuroBoundaryMap_v91/Descriptions_Metadata	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c73e988-50a7-4707-a835-a2ad2fcd8c5a	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm_i_2014_v09_r01	None	superseded
f917855c-8fde-44dd-99f1-7849060e1844	None	EuroBoundaryMap (full European coverage) - version 7.0, Oct. 2013	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. Feature catalogue: a) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A]) b) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x]) c) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary]) d) Label points (Reference point of an administrative unit on lowest level; not available in the standard EBM v7.0 product; included in the Eurostat version [EBM_P]) e) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority]) f) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x]) g) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x]) More details are available in EBM_v70_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f917855c-8fde-44dd-99f1-7849060e1844.png	None	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	Please refer to the document EBM_v70_QualityReport.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f917855c-8fde-44dd-99f1-7849060e1844	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm-europe_i_2012_v07_r00	None	superseded
714900b3-ddec-4b41-8bed-b1f93fb2eb8a	None	EuroBoundaryMap (individual countries) - version 7.0, Oct. 2013	None	None	None	None	None	EuroBoundaryMap provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100 000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. Feature catalogue: a) Administrative areas (Area controlled by an administrative authority; basic component of administrative units [EBM_A]) b) Administrative units (Unit of administration where a national authority has and/or exercises jurisdictional rights, for local, regional and national governance [AdministrativeUnit_x]) c) Administrative boundaries (Line of demarcation between administrative areas [AdministrativeBoundary]) d) Label points (Reference point of an administrative unit on lowest level; not available in the standard EBM v7.0 product; included in the Eurostat version [EBM_P]) e) Residence of Authority (Centre for national or local administration [ResidenceOfAuthority]) f) NUTS regions (Territorial unit for statistics defined in the framework of the Regulation (EU) No 31/2011 of the European Parliament and of the Council of 17 January 2011 [NUTS_x]) g) LAU regions (Territorial unit for statistics defined by the National Statistical Institute [LAU_x]) More details are available in EBM_v70_Specification.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/714900b3-ddec-4b41-8bed-b1f93fb2eb8a.png	None	2019-06-04	None	Administrative units	None	vector	FGeo|SHP	None	1:100000	None	Please refer to the document EBM_v70_QualityReport.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/714900b3-ddec-4b41-8bed-b1f93fb2eb8a	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm-countries_i_2012_v07_r00	None	superseded
4a038ec2-f132-485e-a8e7-bc1043d8ca2f	Fragmentation_MEFF_MajorRoads	Landscape fragmentation Effective Mesh Size: major anthropogenic fragmenting elements (FGA1-M), version 2.0, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_anthropogenic_fragmentation_effective_mesh_size/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion, considering major roads only. The computation is based on the method of Effective Mesh Size (meff, Jaeger 2000). The effective mesh size (meff) can be interpreted as the area that is accessible to animals when starting a movement at a randomly chosen point inside a landscape without encountering a physical barrier. The meff expresses the probability that any two points chosen randomly in an area are connected, that is, not separated by the barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The meff is measured as an area (km2), within the cells of a 1 km2 regular grid as reporting units.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a038ec2-f132-485e-a8e7-bc1043d8ca2f.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Soil|Transport networks	animal corridor|animal habitat|built environment|built-up area	grid	GTiff	None	1000m	None	The Copernicus High Resolution Layer - Imperviousness degree is source layer for the build-up area (30% of IMD is threshold for the build-up area selection). The Open Street Map (OSM) database is the source of the transport routes. Only these elements from the OSM are included in the major anthrophogenic fragmentation: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, railroads. Tunnels are excluded from the dataset. The mapping computation steps are: 1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer 2) selection of transport routes relevant to the fragmentation geometry 3) deleting of tunnels from the transport routes 4) creating of buffers around the transport routes. A buffer size is dependent on the route class 6) erasing of build-up areas and the buffered routes from the seamless EEA39 territory layer 7) computation of meff values for each reference units For a detailed methodology, please consult the indicator fact sheet. http://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.6-first-draft-indicator-fragmentation-ecosystems-and-habitats/deliverables/indicator-factsheet-part	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a038ec2-f132-485e-a8e7-bc1043d8ca2f	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_use	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_anthropogenic_fragmentation_effective_mesh_size/MapServer	eea_r_3035_1_km_fga1-m_20111130-20160831_rev02	None	None
26a23284-755f-4275-a2f2-ddefd5d60aef	forest_combined_pressures_12-17	Management related pressures on forest ecosystems, Dec. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Forest/forest_management_pressures/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Forest management involves various degrees of human intervention to safeguard the forest ecosystem and its functions as well as the exploitation of forest resources. While the objectives of management vary widely and include the protection of resources in protected forests and nature reserves, the primary objective is mostly the production of wood products. Although sustained yield forestry continues to be widely practised, there is an increasing trend towards the management of forests as ecological systems with multiple economic benefits and environmental values, ensuring that benefits meet present as well as future generations’ needs. In order to assess forest management intensity in Europe an indicator based on three data sources has been developed: a) Fast track ecosystem capital accounts (forest growth & harvest – disaggregated to 1km grid), b) Potential forest management (gradient of intensity of intervention with the natural processes in a forest) c) Forest fragmentation (forest ecosystem network connected by forest bridges – GUIDOS Morphological Spatial Pattern Analysis). Each input dataset has been assessed separately in a first step in terms of pressures on forest ecosystems which are the result of the specific management, use or respectively state of the forest patch. The overall management related pressure is then derived by crossing the relative pressures by each input and evaluating the constellation of the input representative factors. This updated version of the management related forest pressures is based on the first assessment done in framework of the ETC-SIA report "Land use and land management related pressures on agricultural and forest ecosystems" (ETC-SIA, Task 1.8.4.3 Ecosystem pressures).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/26a23284-755f-4275-a2f2-ddefd5d60aef.png	EPSG:3035	2019-07-17	None	Habitats and biotopes|Land use	ecosystem|forest|forest ecosystem|forest management|forest resource|natural area	grid	GTiff	None	1000m	None	The basic production steps are: 1. Categorization of potential forest management approach 2. Comparison of forest harvest and regrowth and classification in terms of sustainability 3. Evaluation forest patch size and connectivity 4. Compilation of the three sub-indicators into the management related forest pressure indicator For a detailed methodology please consult the report HNVForest_forest_pressures_reprocessing2017_data_description_20171030.pdf provided with the dataset. Data sets used: Tree species map (1 km grid): EFI (http://www.efi.int/portal/virtual_library/information_services/mapping_services/tree_species_maps_for_european_forests/) Potential forest management (1 km grid): Hengeveld (http://opendap.cgi-systems.nl/thredds/catalog/projecten/EuropeanForest/FMAmap/catalog.html) Fast track ecosystem capital accounts (1 km grid): UMA HRL forest 2012 – tree cover density (20m grid): COPERNICUS JRC GUIDOS Morphological Spatial Pattern Analysis (MSPA) – Forest patch connectivity (input: HRL Forest 2012 – tree cover density - 20m grid): JRC / UMA	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/26a23284-755f-4275-a2f2-ddefd5d60aef	None	None	FALSE	Bulgaria|Czechia|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	http://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/forest_management_pressures/MapServer	eea_r_3035_1_km_combined-forest-pressure_p_2012-2017_v01_r00	None	None
60c8302b-35cd-4376-9cda-865dd42fab7b	European_Mountain_Areas	European mountain areas - version 1, Dec. 2008	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/EuropeanMountainAreas/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The delineation of European mountain areas was carried out by using digital elevation models, considering different criteria combination of thresholds of altitude, climate, and topography variables (IP2008 8.2.7 Regional and territorial development of mountain areas, ETC/LUSI - EEA). This dataset was created in 2008, covers the full European continent and is a reference layer for the EEA Report No 6/2010 on Europe's ecological backbone: recognising the true value of our mountain (https://www.eea.europa.eu/publications/europes-ecological-backbone).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/60c8302b-35cd-4376-9cda-865dd42fab7b.png	EPSG:3035	2019-07-19	None	Elevation	altitude|climate|mountainous area	vector	SHP	None	1:25000	None	The criteria for generating the European mountain areas data were based on the global dataset by Kapos et al. (2000), using the GTOPO30 global digital elevation model (DEM) developed by the US Geological Survey. The dataset excluded the climatic criteria for areas north of 62ºN. Additionally, to create continuous areas, and considering that topographic constraints play a greater role when they extend over a certain area, isolated mountainous areas of less than 10 km2 were not considered. However, non-mountainous areas of less than 10km2 within mountain massifs were included (ETC/LUSI - EEA, 2008). References: Kapos, V., Rhind, J., Edwards, M., Price, M.F. and Ravilious, C. 2000. Developing a map of the world’s mountain forests In M.F. Price and N. Butt (eds.) Forests in sustainable mountain development: A state-of-knowledge report for 2000. CAB International, Wallingford: 4-9. IP2008 8.2.7 Regional and territorial development of mountain areas, ETC/LUSI - EEA	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/60c8302b-35cd-4376-9cda-865dd42fab7b	None	None	FALSE	Andorra|EEA39|San Marino	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Topography	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/EuropeanMountainAreas/MapServer	eea_v_3035_25_k_european-mountain_p_2008_v1_r00	None	None
399dab02-a09c-42cc-bbed-98b1c621157e	Natura2000_2018	Natura 2000 (vector) - version 2018, Apr. 2019	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/Natura2000Sites/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Natura 2000 is an ecological network composed of sites designated under the Birds Directive (Special Protection Areas, SPAs) and the Habitats Directive (Sites of Community Importance, SCIs, and Special Areas of Conservation, SACs). The European database on Natura 2000 sites consists of a compilation of the data submitted by Member States to the European Commission. This European database is generally updated once per year, so as to take into account any updating of the content of the national databases by Member States. However, the release of a new EU-wide database does not necessarily entail that a particular national dataset has recently been updated. The descriptive data in the European database are based on the information that national authorities have submitted, for each of the Natura 2000 sites, through a site-specific standard data form (SDF). Amongst other site-specific information, the standard data form provides the list of all species and habitat types for which a site is officially designated. The spatial data (borders of sites) submitted by each Member State are validated by the European Environment Agency (EEA), including as regard their consistency with the descriptive data. Any problems identified through the above validation procedures in the national datasets are brought to the attention of the Member States concerned. However, it remains up to the Member States to decide whether or not to submit a revised dataset before the European database is updated. As a consequence, the EEA cannot guarantee that all inconsistences detected in national datasets are removed in the European dataset. Please note that some Member States have submitted sensitive information that has been filtered out of this database. The following Member States have submitted sensitive information: Austria, Finland, France, Germany, Ireland, Italy, Latvia, Luxembourg, Poland, Spain and Sweden. This concerns mainly species associated to specific sites. All reference to these species has been removed from the related sites. If this sensitive information is necessary to your field of research, please contact the Member States' administrations individually. You can find a compiled list of national or regional Natura 2000 websites at the following address: http://ec.europa.eu/environment/nature/natura2000/db_gis/index_en.htm#sites There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. Besides the web service link provided in the metadata, the following services provide information on species and habitat types inside the Natura 2000 sites: http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Habitats/MapServer http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Species/MapServer	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/399dab02-a09c-42cc-bbed-98b1c621157e.png	EPSG:3035	2019-06-28	None	Protected sites	natural area|natural areas protection|protected area|species|natural area|natural areas protection|protected area|species	vector	Geopackage|SHP	None	1:100000	None	Member States update Natura 2000 spatial data continuously. The EEA integrates and validates the data, producing one release a year. More information about the production of the European Natura 2000 database can be found in the document "Natura 2000 dataflow doc 2017.docx" available on https://www.eea.europa.eu/themes/biodiversity/document-library/natura-2000/the-natura-2000-data-flow/view.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/399dab02-a09c-42cc-bbed-98b1c621157e	None	None	FALSE	EU28	There are specific terms and conditions relating to the use of downloaded boundary data within the United Kingdom. If you intend to use the UK data you must first agree to the end user licence http://www.jncc.gov.uk/page-5232. This data is provided for general information purposes only. Only the data possessed by the competent authorities of the Member States is authentic. Therefore, no rights or legal claims can be derived from the data displayed on this site. EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/Natura2000Sites/MapServer	eea_v_3035_100_k_natura2000_p_2018_v09_r00	None	None
e302cc81-7167-4a2a-9458-a3b8de9c62d6	Fragmentation_SEFF_MajorRoads	Landscape fragmentation Effective Mesh Density: major anthropogenic fragmenting elements (FGA1-S) - version 2.0, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_anthropogenic_fragmentation_effective_mesh_density/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, focusing only on major roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e302cc81-7167-4a2a-9458-a3b8de9c62d6.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Soil|Transport networks	animal corridor|animal habitat|built environment|built-up area	grid	GTiff	None	1000m	None	The seff value is calculated based on the Effective Mesh Size (meff) index, such as seff=1000 km2/meff. Hence seff is the number of meshes per 1000 km2. The meff index expresses the probability that any two points chosen randomly in an area are connected; that is, not separated by barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The larger the meff, the more connected the landscape. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only these elements from the OSM are included in the major anthropogenic fragmentation: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, railroads. Tunnels are excluded from the dataset.The mapping computation steps are: 1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer 2) selection of transport routes relevant to the fragmentation geometry 3) deleting of tunnels from the transport routes 4) creating of buffers around the transport routes. A buffer size is dependent on the route class 6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer 7) computation of meff values for each 1km sq reporting unit 8) computation of seff values for each 1km sq reporting unit See: Jaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130 http://link.springer.com/article/10.1023/A%3A1008129329289 Moser, B., Jaeger, J.A.G., Tasser, E., Eiselt, B., Tappeiner, U. (2007): Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecology 22,pp 447–459. http://link.springer.com/article/10.1007%2Fs10980-006-9023-0	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e302cc81-7167-4a2a-9458-a3b8de9c62d6	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_use	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_anthropogenic_fragmentation_effective_mesh_density/MapServer	eea_r_3035_1_km_fga1-s_20111130-20160831_rev02	None	None
4a03a3a9-32e7-4712-a9ee-c2789266794d	WISE_EIONET_spatial_datasets	WISE EIONET Spatial Datasets - PUBLIC VERSION - version 1.3, Apr. 2019	None	None	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2019-02-19. The information was reported to the European Environment Agency under the State of Environment reporting obligations. For the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive". Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a03a3a9-32e7-4712-a9ee-c2789266794d.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water	aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Some additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. cYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5 country:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used. lat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) lon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) statusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information). statusDate: Date of reference for the status code (typically the date when the data was extracted for publication). remarks:Additional information about the status code of the superseding object, if any. qcCheck:Additional information about checks performed in the data. 2) Data sources Information reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013. Additional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting. For the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. 3) Data processing The EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. For EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a03a3a9-32e7-4712-a9ee-c2789266794d	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_SoE/EIONET_SurfaceWaterBody_WM/MapServer	eea_v_4326_250_k_wise-eionet_p_2001-2019_v01_r03	None	None
53bb9d36-0e28-4486-aa06-dc488671c84e	Fragmentation_MEFF_MajorMediumRoads	Landscape fragmentation Effective Mesh Size: major and medium anthropogenic fragmenting elements (FGA2-M), version 2.0, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_and_medium_antropogenic_fragmentation_effective_mesh_size/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The raster file is the basis of the indicator for assessing landscape fragmentation due to urban and transport expansion. The computation is based on the method of Effective Mesh Size (meff, Jaeger 2000). The effective mesh size (meff) can be interpreted as the area that is accessible to animals when starting a movement at a randomly chosen point inside a landscape without encountering a physical barrier. The meff expresses the probability that any two points chosen randomly in an area are connected, that is, not separated by the barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The meff is measured as an area (km2), within the cells of a 1 km2 regular grid as reporting units.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53bb9d36-0e28-4486-aa06-dc488671c84e.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Soil|Transport networks	animal corridor|animal habitat|built environment|built-up area|landscape	grid	GTiff	None	1000m	None	Calculation of the effective mesh size meff is based on two main datasets: 1) the Fragmentation Geometry (FG) (i.e., the set of all elements defining the fragmentation pattern) and 2) reporting units (spatial units for which meff is calculated). The reporting units layer (in this case a regular 1km2 grid) and the Fragmentation Geometry layer are overlaid and the Meff is calculated for each reporting unit. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only the following OSM elements are included in the calculation of the meff index: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, secondary roads and secondary roads links, tertiary roads and tertiary roads links, railroads. Tunnels are excluded from the dataset. The mapping computation steps are: 1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer 2) selection of transport routes relevant to the fragmentation geometry 3) deleting of tunnels from the transport routes 4) creating of buffers around the transport routes. A buffer size is dependent on the route class 6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer 7) computation of meff values for each 1km sq reporting unit References: Jaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130, http://link.springer.com/article/10.1023/A%3A1008129329289	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53bb9d36-0e28-4486-aa06-dc488671c84e	2011	2016	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_use	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_and_medium_antropogenic_fragmentation_effective_mesh_size/MapServer	eea_r_3035_1_km_fga2-m_20111130-20160831_rev02	None	None
98e69309-7f04-45ee-a16b-03c08c2643ca	WFD_2016	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - PUBLIC VERSION - version 1.3, Apr. 2019	None	None	http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: River basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98e69309-7f04-45ee-a16b-03c08c2643ca.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	Geopackage|SHP	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report for the full list of the national CDR data sets integrated into the European data set. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98e69309-7f04-45ee-a16b-03c08c2643ca	2016	2019	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2016_SurfaceWaterBody_WM/MapServer	eea_v_4326_250_k_wise-wfd2016_p_2016-2019_v01_r03	None	None
9faa6ea1-372a-4826-a3c7-fb5b05e31c52	Coastline	EEA coastline for analysis (polygon) - version 3.0, March 2017	None	None	http://marine.discomap.eea.europa.eu/arcgis/services/Marine/EEA_coastline_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The EEA coastline dataset is created for detailed analysis with a Minimum Mapping Unit of e.g. 1:100000, for geographical Europe. The coastline is a hybrid product obtained from satellite imagery from two projects: 1) EUHYDRO (Pan-European hydrographic and drainage database) [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and 2) GSHHG (A Global Self-consistent, Hierarchical, High-resolution Geography Database)[http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons. This dataset is a polygon usable as a water-land mask.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faa6ea1-372a-4826-a3c7-fb5b05e31c52.png	EPSG:3035	2019-06-04	None	Sea regions	coast	vector	SHP	None	1:100000	None	Polygon: the polygon was derived from the parent dataset by adding two straight lines, one North-to-South, at the East-most part of the parent dataset, and the second one West-to-East, at the South–most part of the parent dataset. These 2 lines are taken from the NGA-derived coastline produced by the ETC-BD in 2008. Then a polygon dataset is created using the ArcGIS tool “Feature to Polygon”. The Baltic lagoons have been modified with the data from SVAR geodatabase version 2012_2, Swedish Meteorological and Hydrological Institute (SMHI).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faa6ea1-372a-4826-a3c7-fb5b05e31c52	1995	2012	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Marine	http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/EEA_coastline_2017/MapServer	eea_v_3035_100_k_coastline-anal-poly_1995-2012_rev03	None	None
98d63709-5a79-44a8-ac5b-fd9a08466bf1	Fragmentation_SEFF_MajorMediumRoads	Landscape fragmentation Effective Mesh Density: major and medium anthropogenic fragmenting elements (FGA2-S) - version 2.0, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/Major_and_medium_anthropogenic_fragmentation_effective_mesh_density/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98d63709-5a79-44a8-ac5b-fd9a08466bf1.png	EPSG:3035	2019-07-02	None	Habitats and biotopes|Soil|Transport networks	animal corridor|animal habitat|built environment|built-up area	grid	GTiff	None	1000m	None	The seff value is calculated based on the Effective Mesh Size (meff) index, such as seff=1000 km2/meff. Hence seff is the number of meshes per 1000 km2. The meff index expresses the probability that any two points chosen randomly in an area are connected; that is, not separated by barriers of a Fragmentation Geometry (FG) such as transport routes or built-up areas. Hence, meff is a measure of landscape connectivity, i.e. the degree to which movements between different parts of the landscape are possible. The larger the meff, the more connected the landscape. The Copernicus High Resolution Layer - Imperviousness degree (30% of IMD) is the source layer for the build-up area. The Open Street Map (OSM) database is the source of the transport infrastructure. Only the following OSM elements are included in the calculation of the meff index: motorways and motorways links, trunk and trunk links, primary roads and primary roads links, secondary roads and secondary roads links, tertiary roads and tertiary roads links, railroads. Tunnels are excluded from the dataset. The mapping computation steps are: 1) selection of build-up areas from the Copernicus High Resolution Imperviousness Degree layer 2) selection of transport routes relevant to the fragmentation geometry 3) deleting of tunnels from the transport routes 4) creating of buffers around the transport routes. A buffer size is dependent on the route class 6) erasing of build-up areas and the buffered transport routes from the seamless EEA39 territory layer 7) computation of meff values for each 1km sq reporting unit 8) computation of seff values for each 1km sq reporting unit See: Jaeger, J. A.G.(2000): Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landscape ecology 15(2), pp 115-130 http://link.springer.com/article/10.1023/A%3A1008129329289 Moser, B., Jaeger, J.A.G., Tasser, E., Eiselt, B., Tappeiner, U. (2007): Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem. Landscape Ecology 22,pp 447–459. http://link.springer.com/article/10.1007%2Fs10980-006-9023-0	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98d63709-5a79-44a8-ac5b-fd9a08466bf1	2011	2016	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_use	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/Major_and_medium_anthropogenic_fragmentation_effective_mesh_density/MapServer	eea_r_3035_1_km_fga2-s_20110101-20160808_rev02	None	None
b15c7595-8e41-45ff-b657-a62f411e3f42	WFD_2010	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - PUBLIC VERSION - version 1.3, Apr. 2019	None	None	http://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS%7Chttp://water.discomap.eea.europa.eu/arcgis/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Relevant concepts: River basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b15c7595-8e41-45ff-b657-a62f411e3f42.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	Geopackage|SHP	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report for the full list of the national CDR data sets integrated into the European data set. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b15c7595-8e41-45ff-b657-a62f411e3f42	2010	2019	TRUE	Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Luxembourg|Malta|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden	For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_GroundWaterBody_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_MonitoringSite_WM/MapServer%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_RiverBasinDistrict_WM/MapServer/%7Chttp://water.discomap.eea.europa.eu/arcgis/rest/services/WISE_WFD/WFD2010_SurfaceWaterBody_WM/MapServer	eea_v_4326_250_k_wise-wfd2010_p_2010-2019_v01_r03	None	None
faff2281-1fca-4548-89d8-c8ec0c507bc7	Ecosystem_types	Ecosystem types of Europe 2012 - Full map (marine and terrestrial habitats) - version 3 revision 1, Feb. 2019	None	None	https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_FullMap/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The data set aims to contribute to a better biological characterization of marine and terrestrial ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 2 for terrestrial habitats and corresponding Level 3 for marine habitats (including information on sea ice coverage). The map combines spatially explicit data on marine bathymetry and sea-bed and land cover information with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centres ETC/BD and ETC/ULS is to improve the biological description of marine and land based ecosystem types and their spatial distribution across Europe. Since it is partly based on non-spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. For terrestrial habitats the geometric and thematic accuracy is estimated in the reliability map 2012 v3.1 as secondary product. The work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The MAES ecosystem typology differentiates three levels and with certain differences follows the EUNIS classification: whereas MAES level 2 the proposal corresponds to EUNIS level 1, MAES level 3 follows closely the EUNIS level 2. For terrestrial habitats a representation of MAES level 2 is contained in the reliability map as secondary product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/faff2281-1fca-4548-89d8-c8ec0c507bc7.png	None	2019-06-04	None	Habitats and biotopes|Land cover|Oceanographic geographical features|Sea regions	ecosystem type|environmental policy|habitat|riparian zone	grid	GTiff	None	100m	None	The data set is a composition of two independent but complementary data sets: a) marine part (elaborated by EEA and ETC/ULS) – Ecosystem Type Map 2012 v3.1 - Marine habitats b) terrestrial part (elaborated by EEA and ETC/BD) – Ecosystem Type Map 2012 v3.1 - Terrestrial habitats The two parts have been merged into a new data set by the “Mosaic To New Raster” tool. Information about the lineage of these two component datasets is provided within their corresponding metadata as well as on the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/faff2281-1fca-4548-89d8-c8ec0c507bc7	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Biodiversity	https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_FullMap/MapServer	eea_r_3035_100_m_ecosystem-types-full_p_2012_v03_r01	None	None
0c1a7253-a6d5-43d2-8eb7-49836b11ce53	Elevation_Breakdown_100m	Elevation Breakdown based on EU-DEM (resolution 100m), Dec. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Elevation/Elevation_Breakdown_2012_100m/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	This layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.This layer is an updated version using similar methodology to the one created on 2006 (same classes and thresholds) but it has been generated using up-to-date high resolution datasets (EU-DEM) in order to create a more accurate layer.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1a7253-a6d5-43d2-8eb7-49836b11ce53.png	EPSG:3035	2019-06-04	None	Elevation	land cover	grid	GTiff	None	100m	None	This version of the Elevation Breakdown was created as an update using the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 25 m). Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains. Input layers include: - EUDEM resampled to 100m (derived from EU-DEM 25m) - Coastline and reference mask, provided by GISAT. Detailed methodology is available on http://forum.eionet.europa.eu/etc-sia-consortium/library/2012_subvention/261_2_ludc/133_elevation_data/elevation-breakdown-final-report-1 (section 2).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1a7253-a6d5-43d2-8eb7-49836b11ce53	None	None	FALSE	EEA32	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Topography	http://land.discomap.eea.europa.eu/arcgis/rest/services/Elevation/Elevation_Breakdown_2012_100m/MapServer	eea_r_3035_100_m_ebk-eudem_2012	None	None
ab0e6d0b-699c-473d-bd5e-e5c634c8f99c	Forest_Type_20m_2015	High Resolution Layer: Forest Type 2015 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ab0e6d0b-699c-473d-bd5e-e5c634c8f99c.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type information (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. The 20m Forest Type product has been finally aggregated to 100m considering the CORINE Land Cover (CLC) definition of broadleaved, coniferous and mixed forest. Trees under agricultural or urban use as provided by the Forest Additional Support Layer (FADSL) have been explicitly excluded to follow the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab0e6d0b-699c-473d-bd5e-e5c634c8f99c	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestType_2015/MapServer	copernicus_r_3035_20_m_fty_2014-2016	None	None
6e6d80b9-9563-4260-a78e-1ff3644b84a8	UrbanSprawl_UD_09	Utilisation Density (UD) 2009 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UD_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). Besides WUP and its components, the other indicator was calculated: Utilisation Density (UD). UD measures the number of people living and working per km2 of built-up area.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e6d80b9-9563-4260-a78e-1ff3644b84a8.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) UD values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e6d80b9-9563-4260-a78e-1ff3644b84a8	None	None	FALSE	EFTA4|EU28	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UD_1km_2009y/MapServer	eea_r_3035_1_km_ud2009_2008-2009	None	None
07809c04-c010-4203-85ef-bb801dec84a3	UrbanSprawl_DIS_06	Degree of Urban Dispersion (DIS) 2006 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/DIS_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). DIS is input to the Weighted Urban Proliferation (WUP) metric, which has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. The DIS dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/07809c04-c010-4203-85ef-bb801dec84a3.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) DIS values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/07809c04-c010-4203-85ef-bb801dec84a3	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/DIS_1km_2006y/MapServer	eea_r_3035_1_km_dis2006_2005-2006	None	None
b48b206d-a710-47c9-8805-6fafbd335a22	UrbanSprawl_UP_06	Urban Permeation (UP) 2006 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Urban Permeation (UP) is a measure of the permeation of a landscape by built‑up areas; it describes the degree to which the landscape is permeated by patches of built-up area. It is calculated from the new urban sprawl metric "Weighted Urban Proliferation“ (WUP). Weighted Urban Proliferation is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. The WUP metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). UP is a product of PBA and DIS. It represents the spread of the built-up areas in the landscape. UP is expressed in urban permeation units per m2 of land (UPU/m2). The UP dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b48b206d-a710-47c9-8805-6fafbd335a22.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) UP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b48b206d-a710-47c9-8805-6fafbd335a22	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UP_1km_2006y/MapServer	eea_r_3035_1_km_up2006_2005-2006	None	None
17b26358-df10-4def-9991-fb395ce64933	Imperviousness_Density_100m_2006	High Resolution Layer: Imperviousness Degree 2006 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/17b26358-df10-4def-9991-fb395ce64933.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/17b26358-df10-4def-9991-fb395ce64933	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer	copernicus_r_3035_100_m_imd_2005-2007	None	None
af1d948d-c173-4ce1-8e5a-bd241f5331e7	UrbanSprawl_PBA_06	Percentage of Built-up Area (PBA) 2006 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/PBA_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Percentage of built-up area (PBA) measures how large the built-up areas are (in % of the landscape). PBA is a component of the new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP). WUP is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). Values for landscapes of differing sizes can be directly compared because PBA is an intensive metric, i.e., the value does not depend on the size of the landscape. The PBA dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af1d948d-c173-4ce1-8e5a-bd241f5331e7.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) PBA values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af1d948d-c173-4ce1-8e5a-bd241f5331e7	2005	2006	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/PBA_1km_2006y/MapServer	eea_r_3035_1_km_pba2006_2005-2006	None	None
9428d406-189d-4c6e-8779-7ff8df64be81	UrbanSprawl_WUP_06	Weighted Urban Proliferation (WUP) 2006 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/WUP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9428d406-189d-4c6e-8779-7ff8df64be81.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) WUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9428d406-189d-4c6e-8779-7ff8df64be81	2005	2006	TRUE	Bulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/WUP_1km_2006y/MapServer	eea_r_3035_1_km_wup2006_2005-2006	None	None
94530236-1a4e-450f-8ae4-87899dc4b141	Forest_Naturalness_Carpathians	Forest naturalness, species assemblages in the Carpathians (KEO), Oct. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Forest/ForestNaturalnessCarpathians/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The naturalness dataset is calculated as a species assemblages likeliness over the forest coverage. It has been produced for the entire Carpathian region included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication "Europe´s ecological backbone: recognising the true value of our mountains".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94530236-1a4e-450f-8ae4-87899dc4b141.png	EPSG:3035	2019-06-04	None	Species distribution	ecological parameter|forest|forest ecosystem|species	grid	GTiff	None	1km	None	The Naturalness indicator, as described in the EEA technical report 13/2014, is equal to the relation between the high percentage of natural species presence and the percentage of forest coverage, providing an indication of the level of natural forest species available in a forest ecosystem. In this calculation on Carpathian region, the species of interest were selected from the distribution maps from the European Forest Inventory (Brus, et al., 2011), grouped following the spatial distribution provided by (Barbati et al., 2013) and divided by percentage of available forest obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA). More details on the creation of this indicator are available in the final report "ETCULS1835_RegionalCoperation_CarpathiansReport.pdf". The document "ForestN.docx" available for download provides information about the quality checks performed on the dataset. References: Developing a forest naturalness indicator for Europe. Concept and methodology for a high nature value (HNV) forest indicator (EEA Technical report No 13/2014) available on https://www.eea.europa.eu/publications/developing-a-forest-naturalness-indicator. Barbati et al. (2013). European Forest Types and Forest Europe SFM indicators: Tools for monitoring progress on forest biodiversity conservation. Forest ecol. manage. Brus, D., Hengeveld, G., Walvoort, D., Goedhart, P., Heidema, A., Nabuurs, G., et al. (2011). Statistical mapping of tree species over Europe. European Journal of Forest Research, 131(1), 145–157.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94530236-1a4e-450f-8ae4-87899dc4b141	2011	2011	FALSE	Czechia|Hungary|Poland|Romania|Serbia|Slovakia|Ukraine	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	http://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/ForestNaturalnessCarpathians/MapServer	eea_r_3035_1_km_naturalness-species-keo_2011	None	None
899550c5-55fb-4291-87ad-6354b9b43e07	Imperviousness_Change_20m_2006-2009	High Resolution Layer: Imperviousness Degree Change 2006-2009 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/899550c5-55fb-4291-87ad-6354b9b43e07.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/899550c5-55fb-4291-87ad-6354b9b43e07	2006	2009	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer	copernicus_r_3035_20_m_imdc_2006-2009	None	None
ff9d71d2-549f-428c-9454-1070564612c2	Tree_Cover_Density_Change_100m_2012-2015	High Resolution Layer: Tree Cover Density Change 2012-2015 (raster 100m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensityChange_12_15/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ff9d71d2-549f-428c-9454-1070564612c2.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff9d71d2-549f-428c-9454-1070564612c2	2014	2016	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensityChange_12_15/MapServer	copernicus_r_3035_100_m_tcdc_2014-2016	None	None
13565c71-f48b-49eb-a96f-7db32a6c7f47	Urban_Atlas_2012	Urban Atlas 2012 (vector), Aug. 2016	None	None	https://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlas_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 800 Functional Urban Area (FUA) for the reference year 2012 in EU and EFTA countries. The spatial data can be downloaded together with a map for each FUA covered and a report with the metadata for the respective area. Additional information (product description, mapping guidance and class description) can be found at https://land.copernicus.eu/user-corner/technical-library/urban-atlas-2012-mapping-guide-new. Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13565c71-f48b-49eb-a96f-7db32a6c7f47.png	EPSG:3035	2019-06-04	None	Land use	land cover|land use|landscape alteration|urban area	vector	SHP	None	10m	None	The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc…) using ancillary data sources such as local city maps or online map services. The Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13565c71-f48b-49eb-a96f-7db32a6c7f47	2011	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	https://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlas_2012/MapServer	copernicus_v_3035_10_m_ua2012_2011-2013	None	None
299ad2d6-f2b8-4716-b169-1d621250fc3c	Tree_Cover_Density_100m_2012	High Resolution Layer: Tree Cover Density 2012 (raster 100m), Mar. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/299ad2d6-f2b8-4716-b169-1d621250fc3c.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2012 and selected Landsat 8 data. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely and relatively calibrated (if necessary) to the HRL Forest 2015 reference and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/299ad2d6-f2b8-4716-b169-1d621250fc3c	2011	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer	copernicus_r_3035_100_m_tcd_2011-2013	None	None
060409f4-5b0e-4b89-95c9-c1b5ebda3dd7	UrbanSprawl_LUP_06	Land Uptake per Person (inhabitants and jobs) (LUP) 2006 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/LUP_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). Land uptake per person (inhabitants and jobs) (LUP) describes the use of urban built-up area by people working and living in that area.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/060409f4-5b0e-4b89-95c9-c1b5ebda3dd7.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|inhabitant|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) LUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/060409f4-5b0e-4b89-95c9-c1b5ebda3dd7	2005	2006	TRUE	Bulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/LUP_1km_2006y/MapServer	eea_r_3035_1_km_lup2006_2005-2006	None	None
3de1ca12-d9a2-40bf-ae55-5c5026b8b90e	Imperviousness_Change_20m_2006-2012	High Resolution Layer: Imperviousness Degree Change 2006-2012 CLC Synchronous (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3de1ca12-d9a2-40bf-ae55-5c5026b8b90e.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3de1ca12-d9a2-40bf-ae55-5c5026b8b90e	2006	2012	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer	copernicus_r_3035_20_m_imdc_2006-2012	None	None
eab04cf7-ef5d-416f-9a80-a5ec9a06ccef	UrbanSprawl_DIS_09	Degree of Urban Dispersion (DIS) 2009 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/DIS_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The degree of urban dispersion (DIS) characterizes the settlement pattern in a geometric perspective and is based on the distances between any two points within built-up areas (average taken over all possible pairs of points, up to a maximum distance called the horizon of perception). DIS is input to the Weighted Urban Proliferation (WUP) metric, which has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. The DIS dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eab04cf7-ef5d-416f-9a80-a5ec9a06ccef.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) DIS values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eab04cf7-ef5d-416f-9a80-a5ec9a06ccef	2008	2009	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/DIS_1km_2009y/MapServer	eea_r_3035_1_km_dis2009_2008-2009	None	None
c389689b-38b7-4e3d-bc7b-a403da0cac47	Imperviousness_Change_100m_2009-2012	High Resolution Layer: Imperviousness Degree Change 2009-2012 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c389689b-38b7-4e3d-bc7b-a403da0cac47.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c389689b-38b7-4e3d-bc7b-a403da0cac47	2008	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer	copernicus_r_3035_100_m_imdc_2008-2013	None	None
8111fc53-934b-4e6a-afc7-d11664c5ebc3	Forest_Type_100m_2015	High Resolution Layer: Forest Type 2015 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8111fc53-934b-4e6a-afc7-d11664c5ebc.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type information (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. The 20m Forest Type product has been finally aggregated to 100m considering the CORINE Land Cover (CLC) definition of broadleaved, coniferous and mixed forest. Trees under agricultural or urban use as provided by the Forest Additional Support Layer (FADSL) have been explicitly excluded to follow the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8111fc53-934b-4e6a-afc7-d11664c5ebc3	2014	2016	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestType_2015/MapServer	copernicus_r_3035_100_m_fty_2014-2016	None	None
61a2a6c8-9f9a-407d-a01d-d2101e9dcd65	Imperviousness_Density_20m_2009	High Resolution Layer: Imperviousness Degree 2009 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61a2a6c8-9f9a-407d-a01d-d2101e9dcd65.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61a2a6c8-9f9a-407d-a01d-d2101e9dcd65	2008	2010	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer	copernicus_r_3035_20_m_imd_2008-2010	None	None
d8d6ac30-da40-41a5-bcfb-d58f8ba118fa	Soil_biodiversity_potentials	Potential of soils to serve as a soil biodiversity pool, Oct. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/SoilBiodiversityPotential/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset illustrates the potential of soils to serve as a soil biodiversity pool. The potential is expressed as an indexed value from 1 (lowest potential) to 10 (highest potential). The potentials of soil biodiversity throughout Europe have been assessed and mapped by using critical thresholds of the selected variables (e.g. soil PH, texture, land cover among others) that potentially affect the conditions of soils for biodiversity and thus soil biodiversity levels. The dataset has been validated with existing data on soil biodiversity of different projects throughout Europe.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d8d6ac30-da40-41a5-bcfb-d58f8ba118fa.png	EPSG:3035	2019-06-04	None	Land cover|Soil	biodiversity|land cover|soil|soil capability|soil function|soil quality	grid	geoTiff	None	1km	None	For all the details, please refer to Ece Aksoy, Geertrui Louwagie, Ciro Gardi, Mirko Gregor, Christoph Schröder, Manuel Löhnertz, Assessing soil biodiversity potentials in Europe, In Science of The Total Environment, Volume 589, 2017, Pages 236-249, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2017.02.173. (http://www.sciencedirect.com/science/article/pii/S0048969717304229) The potentials of soil biodiversity throughout Europe have been assessed and mapped by using critical thresholds of the selected variables (see Table 1 in the paper) that potentially affect the conditions of soils for biodiversity and thus soil biodiversity levels. The thresholds (see Table 2 in the paper) are defined in line with levels that are expected to regulate soil biodiversity levels and range from 0 to 4, depending on the main parameters as described in the material section. Using these threshold levels and their corresponding scores, the general status of soil biodiversity potentials could be assessed and mapped on a European scale. The assessment of the soil biodiversity potential is calculated as the spatial sum of the re-classified layers of each indicator (see figure 2 of paper). The score of the land cover/land use indicator is used as a multiplying factor. For more information about the quality checks performed on the dataset, the document "eea_r_3035_1_km_soilbiodiv_2000_SpatialDataDeliveryReport.docx" is also made available with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d8d6ac30-da40-41a5-bcfb-d58f8ba118fa	2000	2000	FALSE	EU27	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Soil	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/SoilBiodiversityPotential/MapServer	eea_r_3035_1_k_soilbiodiv-potential_2000	None	None
b1ccb4c2-be13-416c-ac17-246b3b5219cf	Imperviousness_Change_100m_2006-2012	High Resolution Layer: Imperviousness Degree Change 2006-2012 CLC Synchronous (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1ccb4c2-be13-416c-ac17-246b3b5219cf.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b1ccb4c2-be13-416c-ac17-246b3b5219cf	2006	2012	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_12/MapServer	copernicus_r_3035_100_m_imdc_2006-2012	None	None
e09a23b9-5ee8-4610-bcad-c1fcd496634a	UrbanSprawl_UP_09	Urban Permeation (UP) 2009 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Urban Permeation (UP) is a measure of the permeation of a landscape by built‑up areas; it describes the degree to which the landscape is permeated by patches of built-up area. It is calculated from the new urban sprawl metric "Weighted Urban Proliferation“ (WUP). Weighted Urban Proliferation is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. The WUP metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). UP is a product of PBA and DIS. It represents the spread of the built-up areas in the landscape. UP is expressed in urban permeation units per m2 of land (UPU/m2). The UP dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e09a23b9-5ee8-4610-bcad-c1fcd496634a.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) UP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e09a23b9-5ee8-4610-bcad-c1fcd496634a	2008	2009	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UP_1km_2009y/MapServer	eea_r_3035_1_km_up2009_2008-2009	None	None
047f71ee-dec6-4c7b-8044-7a153c025588	Urban_Atlas_Change_2006_2012	Urban Atlas Change 2006-2012 (vector), Sep. 2016	None	None	https://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlasChange_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Urban Atlas Change layers have become available from 2012 and only for all FUAs that have been covered in both 2006 and 2012 reference years. Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/047f71ee-dec6-4c7b-8044-7a153c025588.png	EPSG:3035	2019-06-04	None	Land use	land cover|land use|landscape alteration|urban area	vector	SHP	None	10m	None	The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc…) using ancillary data sources such as local city maps or online map services. The Minimum Mapping Unit is as follows: Class 1 to Class 1: 0.1 ha; Class 2 - 5 to Class 1: 0.1 ha; Class 2 - 5 to Class 2 - 5: 0.25 ha; Class 1 to Class 2 - 5: 0.25 ha. The Minimum Mapping Width is 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/047f71ee-dec6-4c7b-8044-7a153c025588	2004	2014	TRUE	EU27	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	https://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlasChange_2006_2012/MapServer	copernicus_v_3035_10_m_uac_2004-2014	None	None
3eccb338-d7d4-43e5-be77-ac0b6afc9aa7	Imperviousness_Change_100m_2006-2009	High Resolution Layer: Imperviousness Degree Change 2006-2009 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3eccb338-d7d4-43e5-be77-ac0b6afc9aa7.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3eccb338-d7d4-43e5-be77-ac0b6afc9aa7	2006	2009	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_06_09/MapServer	copernicus_r_3035_100_m_imdc_2006-2009	None	None
8b83d30f-4731-4de3-bead-1c6432d9d30a	Imperviousness_Density_20m_2015	High Resolution Layer: Imperviousness Degree 2015 (raster 20m), Mar. 2018	None	None	http://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2015/MapServer/WMSServer?service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b83d30f-4731-4de3-bead-1c6432d9d30a.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8b83d30f-4731-4de3-bead-1c6432d9d30a	2014	2016	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	http://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2015/MapServer	copernicus_r_3035_20_m_imd_2014-2016	None	None
551d6741-84d0-43fb-bda8-1768d51bbb4c	Urban_Atlas_2006	Urban Atlas 2006 (vector), Jul. 2015	None	None	http://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/UA_UrbanAtlas_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The European Urban Atlas provides reliable, inter-comparable, high-resolution land use maps for 305 Large Urban Zones and their surroundings (more than 100.000 inhabitants as defined by the Urban Audit) for the reference year 2006 in EU member states. The GIS data can be downloaded together with a map for each covered urban area and a report with the metadata for the respective area. Additional information (product description, mapping guidance and class description) can be found at https://www.eea.europa.eu/data-and-maps/data/urban-atlas/#tab-methodology. Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/551d6741-84d0-43fb-bda8-1768d51bbb4c.png	EPSG:3035	2019-06-04	None	Land use	land cover|land use|landscape alteration|urban area	vector	SHP	None	10m	None	The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc…) using ancillary data sources such as local city maps or online map services. The Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/551d6741-84d0-43fb-bda8-1768d51bbb4c	2005	2007	TRUE	EU27	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/UA_UrbanAtlas_2006/MapServer	copernicus_v_3035_10_m_ua2006_2005-2007	None	None
09aa9012-0125-46a4-b142-17ac387c0492	CLC_accounting_2000	Corine Land Cover 2000 (raster 100m) version 18.5 accounting layer, Mar. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2000_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). To eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data. The applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Modified CLC_ new status – Modified CLC old status. The modification method maximizes compatibility of “backdated” CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) “Fake features” are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets. CLC2000 was the second CORINE Land Cover inventory and lasted for four years. Results of CLC1990 were improved and mapping CLC-Changes were tested. Computer Assisted Photo-Interpretation (CAPI) has become a commonplace. Number of participants has increased. CLC2000 was replaced by CLC2000_revised, if the country has produced this during the implementation of CLC2006 and delivered to EEA. If the CLC2000_revised layer did not exist for the country, the original CLC2000 was used in the final European mosaic.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/09aa9012-0125-46a4-b142-17ac387c0492.png	EPSG:3035	2019-06-04	None	Land cover	accounting|land cover	grid	GTiff	None	100m	None	Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration. All seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. Methodology of harmonization to create CLC accounting layers: The solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation: CLC change = Harmonized CLC_ new status – Harmonized CLC old status. Additional criteria of the realization were: (1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference, (2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012. Based on the above principles, the working steps of the creation of CLC accounting layers are as follows: (1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer. (1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012, (1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012. (2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006. (3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000. (4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990. The harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09aa9012-0125-46a4-b142-17ac387c0492	1999	2002	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2000_acc_WM/MapServer	eea_r_3035_100_m_clc2000-acc_1999-2002	None	None
532f0b73-66c3-46f6-b5a5-d1cccd140433	Imperviousness_Density_20m_2006	High Resolution Layer: Imperviousness Degree 2006 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/532f0b73-66c3-46f6-b5a5-d1cccd140433.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/532f0b73-66c3-46f6-b5a5-d1cccd140433	2005	2007	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2006/MapServer	copernicus_r_3035_20_m_imd_2005-2007	None	None
02580a02-cb8d-4474-95bb-4fdb30a50119	UrbanSprawl_WUP_09	Weighted Urban Proliferation (WUP) 2009 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/WUP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02580a02-cb8d-4474-95bb-4fdb30a50119.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) WUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02580a02-cb8d-4474-95bb-4fdb30a50119	2008	2011	TRUE	Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Netherlands|Norway|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|Switzerland|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/WUP_1km_2009y/MapServer	eea_r_3035_1_km_wup2009_2008-2011	None	None
8bfbda74-7b62-4659-96dd-86600ea425a2	Tree_Cover_Density_20m_2015	High Resolution Layer: Tree Cover Density 2015 (raster 20m), Mar. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bfbda74-7b62-4659-96dd-86600ea425a2.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bfbda74-7b62-4659-96dd-86600ea425a2	2014	2016	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer	copernicus_r_3035_20_m_tcd_2014-2016	None	None
2a927809-44a9-46f0-ad90-a815e4d1b2f3	Elevation_Breakdown_1km	Elevation Breakdown based on EU-DEM (resolution 1km), Dec. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Elevation/Elevation_Breakdown_2012_1km/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Generalisation at 1 km resolution of elevation breakdown 100 m (based on EU-DEM). This layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.This layer is an updated version using similar methodology to the one created on 2006 (same classes and thresholds) but it has been generated using up-to-date high resolution datasets (EU-DEM) in order to create a more accurate layer.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2a927809-44a9-46f0-ad90-a815e4d1b2f3.png	EPSG:3035	2019-06-04	None	Elevation	land cover	grid	GTiff	None	1km	None	Generalisation at 1 km resolution of elevation breakdown 100 m (based on EU-DEM), which was created as an update using the Digital Elevation Model over Europe from the GSGRDA project (EU-DEM, resolution 25 m). Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains. Input layers include: - EUDEM resampled to 100m (derived from EU-DEM 25m) - Coastline and reference mask, provided by GISAT. Detailed methodology is available on http://forum.eionet.europa.eu/etc-sia-consortium/library/2012_subvention/261_2_ludc/133_elevation_data/elevation-breakdown-final-report-1 (section 2).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2a927809-44a9-46f0-ad90-a815e4d1b2f3	2012	2012	FALSE	EEA32	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Topography	http://land.discomap.eea.europa.eu/arcgis/rest/services/Elevation/Elevation_Breakdown_2012_1km/MapServer	eea_r_3035_1_km_ebk-eudem_2012	None	None
1e457489-c4bd-4247-87ff-346020c4c87f	Forest_Fragmentation_Carpathians	Forest fragmentation in Carpathians (KEO), Oct. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Forest/ForestFragmentationCarpathians2015/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The forest fragmentation dataset detects and describes the geometry and the connectivity of forests coverage. This dataset, developed based on the methodology of the European study "Forest landscape in Europe: Pattern, Fragmentation, and connectivity" (Estreguil et al., 2012), has been calculated for the Carpathian forest included within the Carpathians Environment Outlook (KEO) buffer boundaries as described in the 2010 EEA publication "Europe´s ecological backbone: recognising the true value of our mountains".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e457489-c4bd-4247-87ff-346020c4c87f.png	EPSG:3035	2019-06-04	None	Land cover	forest|land cover	grid	GTiff	None	100m	None	The indicator on the morphological structure of forests has been obtained with the application of the modelling tool namely GUIDOS toolbox (Vogt, 2013), within the forest coverage of Carpathians area obtained from the PALSAR-2 forest/ non-forest map (ALOS-2/ALOS, Earth Observation Research Center, JAXA). The resulting map provides with the calculation of a Morphological Spatial Pattern Analysis (MSPA) which determines the geometry and connectivity of the forest areas in the KEO. Several parameters can be calculated using this tool including the core area of forests, the islets within forests, the loop areas within a forest (being the areas that are connected from different sides to the same forest core area), the bridges within forests (being connected to forest core from different places and to different core areas within a forest), the forest perforation being the internal foreground forest perimeter, and the forest edge being the external foreground forest perimeter, and the forest branches being connected to any of the previous morphological parameters but not to the core of a forest. More details on the creation of this indicator are available in the final report "ETCULS1835_RegionalCoperation_CarpathiansReport.pdf". The document "ForestFragmentation.docx" also available for download provides additional information on the quality assurance checks performed on the dataset. References: Vogt, P. (2013). GUIDOS: tools for the assessment of pattern, connectivity, and fragmentation. Geophysical Research Abstracts, 15.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e457489-c4bd-4247-87ff-346020c4c87f	2015	2015	FALSE	Czechia|Hungary|Poland|Romania|Serbia|Slovakia|Ukraine	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	http://land.discomap.eea.europa.eu/arcgis/rest/services/Forest/ForestFragmentationCarpathians2015/MapServer	eea_r_3035_100_m_forest-fragm-keo_2015	None	None
0827ac40-6a01-4ae7-84fe-7f88180c3e2b	CLC_accounting_1990	Corine Land Cover 1990 (raster 100m) version 18.5 accounting layer, Mar. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC1990_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). To eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data. The applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Harmonized CLC_ new status – Harmonized CLC old status. The modification method maximizes compatibility of “backdated” CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Harmonized CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) “Fake features” are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets. CLC1990 was the first CORINE Land Cover inventory and lasted for 10 years. Photo-Interpretation mostly done on plastic overlay. Field checking was an integral part of the work. The basic parameters of the project (25 ha minimum mapping unit, 100 m minimum mapping width and the European level-3 nomenclature) tested. These are used consistently in all subsequent inventories.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0827ac40-6a01-4ae7-84fe-7f88180c3e2b.png	EPSG:3035	2019-06-04	None	Land cover	accounting|land cover	grid	GTiff	None	100m	None	Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration. All seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. Methodology of harmonization to create CLC accounting layers: The solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation: CLC change = Harmonized CLC_ new status – Harmonized CLC old status. Additional criteria of the realization were: (1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference, (2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012. Based on the above principles, the working steps of the creation of CLC accounting layers are as follows: (1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer. (1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012, (1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012. (2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006. (3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000. (4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990. The harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0827ac40-6a01-4ae7-84fe-7f88180c3e2b	1986	1998	TRUE	Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC1990_acc_WM/MapServer	eea_r_3035_100_m_clc1990-acc_1986-1998	None	None
264d4e20-de6d-4f88-b1be-b592303452af	Tree_Cover_Density_100m_2015	High Resolution Layer: Tree Cover Density 2015 (raster 100m), Mar. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/264d4e20-de6d-4f88-b1be-b592303452af.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2015, Landsat 8 and Sentinel-2 data using the HRL Forest reference products for calibration and validation. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely calibrated (if necessary) and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/264d4e20-de6d-4f88-b1be-b592303452af	2014	2016	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_TreeCoverDensity_2015/MapServer	copernicus_r_3035_100_m_tcd_2014-2016	None	None
53eb2a55-4537-41ef-938f-603a52a5eb39	Imperviousness_Change_20m_2009-2012	High Resolution Layer: Imperviousness Degree Change 2009-2012 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53eb2a55-4537-41ef-938f-603a52a5eb39.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53eb2a55-4537-41ef-938f-603a52a5eb39	2008	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessChange_09_12/MapServer	copernicus_r_3035_20_m_imdc_2008-2013	None	None
566e36ae-2620-4d75-9b2e-51d70ab561ac	UrbanSprawl_UD_06	Utilisation Density (UD) 2006 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/UD_1km_2006y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). Besides WUP and its components, the other indicator was calculated: Utilisation Density (UD). UD measures the number of people living and working per km2 of built-up area.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/566e36ae-2620-4d75-9b2e-51d70ab561ac.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1km	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) UD values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/566e36ae-2620-4d75-9b2e-51d70ab561ac	2005	2006	TRUE	Bulgaria|Czechia|EFTA4|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/UD_1km_2006y/MapServer	eea_r_3035_1_km_ud2006_2005-2006	None	None
6f6abc04-cedc-463d-8536-6f459c26293d	CLC_accounting_2012	Corine Land Cover 2012 (raster 100m) version 18.5 accounting layer, Mar. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2012_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). To eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data. The applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Modified CLC_ new status – Modified CLC old status. The modification method maximizes compatibility of “backdated” CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) “Fake features” are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets. CLC2012 is the fourth CORINE Land Cover inventory and took three years to finalize. A dual coverage of satellite images were used. Computer Assisted Photo-Interpretation (CAPI) was the dominating mapping technology. The number of countries using advanced (bottom-up) solutions has slightly increased. All of the EEA39 countries have participated within the official lifetime of the project.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6f6abc04-cedc-463d-8536-6f459c26293d.png	EPSG:3035	2019-06-04	None	Land cover	accounting|land cover	grid	GTiff	None	100m	None	Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration. All seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. Methodology of harmonization to create CLC accounting layers: The solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation: CLC change = Harmonized CLC_ new status – Harmonized CLC old status. Additional criteria of the realization were: (1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference, (2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012. Based on the above principles, the working steps of the creation of CLC accounting layers are as follows: (1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer. (1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012, (1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012. (2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006. (3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000. (4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990. The harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6f6abc04-cedc-463d-8536-6f459c26293d	2011	2012	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2012_acc_WM/MapServer	eea_r_3035_100_m_clc2012-acc_2011-2012	None	None
91687ef2-f907-4f84-81f7-c9c81980c306	Tree_Cover_Density_20m_2012	High Resolution Layer: Tree Cover Density 2012 (raster 20m), Mar. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/91687ef2-f907-4f84-81f7-c9c81980c306.png	EPSG:3035	2019-07-19	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Thereafter a monotemporal, regression-based thematic classification of Tree Cover Density values has been performed on HR_IMAGE_2012 and selected Landsat 8 data. Finally, TCD results have been mosaicked to an area wide pan-European TCD dataset, absolutely and relatively calibrated (if necessary) to the HRL Forest 2015 reference and intersected with the derived tree cover mask. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91687ef2-f907-4f84-81f7-c9c81980c306	2011	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Tree_Cover_Density_2012/MapServer	copernicus_r_3035_20_m_tcd_2011-2013	None	None
228e9bf2-0b81-4506-ab72-d42dd2ad19b6	CLC_reference_grid	CLC 2012 reference land mask (resolution 100m), Jan. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Background/CLC2012_v_18_5_land_mask/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The CLC2012 land mask is a dataset derived from CLC2012 intended to be used as a reference dataset for data harmonisation within the EEA. It is a mask where all pixels with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of "1". The rest of pixels get a "0". In other words, land areas with CLC2012 data are identified with the value "1", whereas sea areas and areas with no CLC2012 data available get a value of "0".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/228e9bf2-0b81-4506-ab72-d42dd2ad19b6.png	EPSG:3035	2019-06-04	None	Land cover	land cover	grid	GTiff	None	100m	None	Created from CLC2012 v 18_5 raster 100m data, by means of a reclassification in ArcGIS. All pixels with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of "1". The rest of pixels get a "0". In other words, land areas with CLC2012 data are identified with the value "1", whereas sea areas and areas with no CLC2012 data available get a value of "0".	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/228e9bf2-0b81-4506-ab72-d42dd2ad19b6	2016	2016	FALSE	EEA32	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Reference_dataset	http://land.discomap.eea.europa.eu/arcgis/rest/services/Background/CLC2012_v_18_5_land_mask/MapServer	eea_r_3035_100_m_clc12-landmask_2016	None	None
eb306a29-f0db-49b6-8c68-c76d011bfa70	Nutrient_input_to_agroecosystems	Total nutrient input to agroecosystems 2010, Feb. 2015	None	None	https://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Nitrogen_Input_to_agroecosystems/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The total nitrogen input to agricultural soils for the year 2010 is represented in kgN/ha/yr at a 1 km resolution. Nitrogen input includes organic manure application, inorganic fertilizer input, atmospheric deposition and biological fixation. The data comes from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors (see lineage for details). The geographic coverage is EU27.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eb306a29-f0db-49b6-8c68-c76d011bfa70.png	EPSG:3035	2019-06-04	None	Human health and safety|Land cover|Soil	agrosystem|animal manure|deposition|inorganic fertiliser|land cover|livestock|nutrient balance|pressure	grid	GeoTiff	None	1km	None	Refer to https://forum.eionet.europa.eu/etc-sia-consortium/library/2014-subvention/182_2-impact-policy-changes/milestones/updatecarbonnutrientdata/nutrientupdate/nutrient-account-methodology for a more detailed description. For the purpose of a simplified nutrient account the major inputs (Fertiliser use, manure, biological fixation, atmospheric deposition) and outputs (harvest) are selected. By accounting for these components only nutrient surplus or lack will be calculated, while the sink of the surplus will not be evaluated; i.e. leaching and emissions will not be calculated, but considered as the final output of nutrient surplus. The following input data is used (Model inputs EEA Nutrient accounts) 1) Land cover/ land use (grass and crops in arable land): Total area of grassland and cropland based on EUROSTAT data; 2) Crop land areas further disaggregated for 10 crop groups (cereals, oilseeds, root crops, industrial, fruits, citrus, vineyards, olives, rice, fodder) using CAPRI regional data based on disaggregated in CAPRI-SPAT to HSMUs3, further downscaled to 1kmx1km. 3) N and P fertilizer application: FAOSTAT data at country level, downscaled to 1km x 1km, based on crop production distribution from CAPRI. 4) Animal livestock numbers: Downscaled (1km x 1km) Eurostat statistics using CAPRI regional data, distinguishing dairy cattle, other cattle, sheep + goats, pigs, poultry and other cattle (both in livestock units, LSUs, and animal numbers) further downscaled to. 5) N and P excretion rates (factors): Country-specific excretion rates from OECD-Eurostat, using livestock raster. 6) Biological N fixation (BNF) rates: Arable land: 4 kg N ha-1 yr-1; Grassland: 4 kg N ha-1 yr-1; Pulses/legumes: Not included. 7) Total N deposition levels: Data at 50 km x 50 km resolution from the EMEP model, downscaled to 1km x 1km. 8) Total P deposition levels: Not included 9) Crop yields: Eurostat statistics on crop production of major crop groups, downscaled according to CAPRI-stat at HSMU level and further downscaled to 1km x 1km. 10) N and P contents in crops: Country-specific N and P contents for major crop groups. The document "eea_r_3035_1_km_n-input_2010_SpatialDataDeliveryReport" provides additional information on the quality assurance checks performed on the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eb306a29-f0db-49b6-8c68-c76d011bfa70	2010	2010	FALSE	EU27	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Soil	https://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Nitrogen_Input_to_agroecosystems/MapServer	eea_r_3035_1_k_n-input_2010	None	None
5660741b-2e9a-401d-8ff2-5162d75fc05d	Nutrient_input_to_agroecosystems_2000-2005	Trends in nutrient input to agroecosystems 2000 - 2005, Feb. 2015	None	None	https://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Nitrogen_Input_to_agroecosystems_trend/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	This dataset shows the increase/decrease of nitrogen input (kg/ha/yr) to agricultural soils comparing the year 2000 with the trend value 2000-2005 at 1 km resolution. Increase takes place where the trend value is higher than the reference value in 2000. Decrease is mapped when the trend value is lower than the value in 2000. Nitrogen input includes organic manure application, inorganic fertilizer input, atmospheric deposition and biological fixation. The data comes from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors (see lineage for details). The geographic coverage is EU27.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5660741b-2e9a-401d-8ff2-5162d75fc05d.png	EPSG:3035	2019-06-04	None	Human health and safety|Land cover|Soil	agrosystem|deposition|inorganic fertiliser|land cover|livestock|manure|nutrient balance|pressure	grid	GeoTiff	None	1km	None	Refer to https://forum.eionet.europa.eu/etc-sia-consortium/library/2014-subvention/182_2-impact-policy-changes/milestones/updatecarbonnutrientdata/nutrientupdate/nutrient-account-methodology for a more detailed description. For the purpose of a simplified nutrient account the major inputs (Fertiliser use, manure, biological fixation, atmospheric deposition) and outputs (harvest) are selected. By accounting for these components only nutrient surplus or lack will be calculated, while the sink of the surplus will not be evaluated; i.e. leaching and emissions will not be calculated, but considered as the final output of nutrient surplus. The following input data is used (Model inputs EEA Nutrient accounts) 1) Land cover/ land use (grass and crops in arable land): Total area of grassland and cropland based on EUROSTAT data; 2) Crop land areas further disaggregated for 10 crop groups (cereals, oilseeds, root crops, industrial, fruits, citrus, vineyards, olives, rice, fodder) using CAPRI regional data based on disaggregated in CAPRI-SPAT to HSMUs3, further downscaled to 1kmx1km. 3) N and P fertilizer application: FAOSTAT data at country level, downscaled to 1km x 1km, based on crop production distribution from CAPRI. 4) Animal livestock numbers: Downscaled (1km x 1km) Eurostat statistics using CAPRI regional data, distinguishing dairy cattle, other cattle, sheep + goats, pigs, poultry and other cattle (both in livestock units, LSUs, and animal numbers) further downscaled to. 5) N and P excretion rates (factors): Country-specific excretion rates from OECD-Eurostat, using livestock raster. 6) Biological N fixation (BNF) rates: Arable land: 4 kg N ha-1 yr-1; Grassland: 4 kg N ha-1 yr-1; Pulses/legumes: Not included. 7) Total N deposition levels: Data at 50 km x 50 km resolution from the EMEP model, downscaled to 1km x 1km. 8) Total P deposition levels: Not included 9) Crop yields: Eurostat statistics on crop production of major crop groups, downscaled according to CAPRI-stat at HSMU level and further downscaled to 1km x 1km. 10) N and P contents in crops: Country-specific N and P contents for major crop groups. The document "eea_r_3035_1_km_n-input_2010_SpatialDataDeliveryReport.docx" provides additional information on the quality assurance checks performed on the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5660741b-2e9a-401d-8ff2-5162d75fc05d	2000	2005	TRUE	EU27	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Soil	https://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Nitrogen_Input_to_agroecosystems_trend/MapServer	eea_r_3035_1_k_n-trend_2000-2005	None	None
b90803ac-57db-4653-b393-3e04445a7035	CLC_accounting_2006	Corine Land Cover 2006 (raster 100m) version 18.5 accounting layer, Mar. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/CLC2006_acc_WM/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	CORINE Land Cover (CLC) data are produced from 1986 for European countries. Altogether four mapping inventories were implemented in this period, producing four status layers (CLC1990, CLC2000, CLC2006, CLC2012) and three CLC-change (CLCC) layers for three periods (1990-2000, 2000-2006, 2006-2012). To eliminate several inconsistencies from the usage of 100m raster version of original CLC data in the accounting systems at EEA, like Land and Ecosystem Accounting (LEAC), which uses a 1km grid (CUBE) base for calculation, a harmonization method were elaborated for the CLC and CLCC data. The applied solution for the harmonization combines CLC status and change layers in the 100m raster form in order to create homogeneous quality time series of CLC / CLC-change layers for accounting purposes. The so called "CLC accounting layers" fulfilling the relation: CLC-change = Modified CLC_ new status – Modified CLC old status. The modification method maximizes compatibility of “backdated” CLC status layers with CLC2012 and each other. However this simple solution causes several issues to be solved: (1) Modified CLC layers loose statistical comparability with original CLC layers, because of increased geometry; smaller than 25ha MMU features will appear locally where changes appear. In case of some CLC classes this causes significant differences. (2) “Fake features” are appearing in the backdated CLC status layers due to inconsistencies between CLC-change datasets. CLC2006 was the third CORINE Land Cover inventory and needed three years to be accomplished. Instead of a single imagery, a dual coverage of satellite images were used. The methodology of mapping changes was consolidated. Dominating mapping technology was the Computer Assisted Photo-Interpretation (CAPI). Advanced (less human work intensive) solutions appeared in some countries. All but one of the EEA39 countries have participated within the official lifetime of the project. Greece accomplished CLC2006 later, at the time of the CLC2012. CLC2006 was replaced by CLC2006_revised, if the country has produced this during the implementation of CLC2012 and delivered to EEA. If the CLC2006_revised layer did not exist for the country, the original CLC2006 was used in the final European mosaic.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b90803ac-57db-4653-b393-3e04445a7035.png	EPSG:3035	2019-06-04	None	Land cover	accounting|land cover	grid	GTiff	None	100m	None	Vector CLC database was provided by National Teams within original CLC1990, IandCLC2000 update, FTSP/CLC2006 update and CLC2012 projects. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit into the standardized CLC nomenclature (44 CLC classes). European Corine Land Cover seamless databases represent the final product of European data integration. All seamless vector layers were rasterized to the 100m resolution grid. MAXIMUM_COMBINED_AREA method was used for the rasterizing. Methodology of harmonization to create CLC accounting layers: The solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-change layers for account purposes fulfilling the relation: CLC change = Harmonized CLC_ new status – Harmonized CLC old status. Additional criteria of the realization were: (1) Add more detail to the latest CLC status layer (CLC2012) from previous CLCC information and use this modified layer as a reference, (2) Create previous CLC status layers by "backdating" of the reference, realized as subtracting CLCC based information for CLC2012. Based on the above principles, the working steps of the creation of CLC accounting layers are as follows: (1) Include formation information from CLC-change layers into current CLC2012 status by creating CLC2012 accounting layer. (1a) Overwrite CLC2012 with first with code_2006 from CLC-change 2000-2006. Intermediate result: A1_CLC2012, (1b) Overwrite F1_CLC2012 with code_2012 from CLC-change 2006-2012. Result: A2_CLC2012. (2) Create CLC2006 accounting layer by including consumption information (code 2006 from CLC-change 2006-2012) into A2_CLC2012. Result: A1_CLC2006. (3) Create CLC2000 accounting layer by including consumption information (code_2000 from CLC-change 2000-2006) into A1_CLC2006. Result: A1_CLC2000. (4) Create CLC1990 accounting layer by including consumption information (code_1990 from CLC-change 1990-2000) into A2_CLC2000. Result: A1_CLC1990. The harmonization was carried out on the version 18_5 of Corine Land Cover European database (RELEASE v18_5; dated 02/2016).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b90803ac-57db-4653-b393-3e04445a7035	2005	2006	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/CLC2006_acc_WM/MapServer	eea_r_3035_100_m_clc2006-acc_2005-2006	None	None
fbded0dd-25db-4a1d-9b7e-64ab6da4b14f	UrbanSprawl_LUP_09	Land Uptake per Person (inhabitants and jobs) (LUP) 2009 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/LUP_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP) is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). Land uptake per person (inhabitants and jobs) (LUP) describes the use of urban built-up area by people working and living in that area.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbded0dd-25db-4a1d-9b7e-64ab6da4b14f.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|inhabitant|urban sprawl|urbanisation	grid	GTiff	None	1k	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) LUP values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbded0dd-25db-4a1d-9b7e-64ab6da4b14f	2008	2011	TRUE	EFTA4|EU28	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/LUP_1km_2009y/MapServer	eea_r_3035_1_km_lup2009_2008-2011	None	None
894c9189-b35f-4ced-8bd2-12ed6b72fa4c	Forest_Type_20m_2012	High Resolution Layer: Forest Type 2012 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/DownloadLayers/HRL_FTY_2012_DL/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/894c9189-b35f-4ced-8bd2-12ed6b72fa4c.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. Thus, the derived Forest Type (FTY) product is largely following the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/894c9189-b35f-4ced-8bd2-12ed6b72fa4c	2011	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer	copernicus_r_3035_20_m_fty_2011-2013	None	None
b728f391-3aaf-4fb4-a3d4-ecdf25ac9534	LEAC_reference_grid	LEAC CLC2012 version 18.5 reference mask (resolution 1km), Jan. 2017	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Background/LEAC_CLC2012_v_18_5_mask/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The LEAC mask at 1 km x 1 km is a dataset derived from CLC2012 used as the reference mask for accounting purposes within the EEA. It is a mask where all 1 km x 1 km cells (in line with the European reference Grid) with any valid land cover class value in CLC2012, except for class 523 - Sea and ocean, get a value of "1". The rest of pixels get a "0". In other words, land areas with CLC2012 data are identified with the value "1", whereas sea areas and areas with no CLC2012 data available get a value of "0".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b728f391-3aaf-4fb4-a3d4-ecdf25ac9534.png	EPSG:3035	2019-06-04	None	Land cover	land cover	grid	GTiff	None	1km	None	Created from CLC2012 v 18_5 raster 100m data and the European reference Grid. By means of an overlay, the grid cells containing CLC data (land) are selected. They are eventually rasterised and given a value of 1 (within the mask) in contrast with the value 0 (out of the mask).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b728f391-3aaf-4fb4-a3d4-ecdf25ac9534	2016	2016	FALSE	EEA32	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Reference_dataset	http://land.discomap.eea.europa.eu/arcgis/rest/services/Background/LEAC_CLC2012_v_18_5_mask/MapServer	eea_r_3035_1_km_leac-clc2012-mask_p_2016_v01_r00	None	None
0c925f24-663d-4e29-8630-da61a8673368	UrbanSprawl_PBA_09	Percentage of Built-up Area (PBA) 2009 (LEAC Grid), Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Urban_Sprawl/PBA_1km_2009y/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Percentage of built-up area (PBA) measures how large the built-up areas are (in % of the landscape). PBA is a component of the new urban sprawl metric, named "Weighted Urban Proliferation“ (WUP). WUP is based on the following definition of urban sprawl: the more area is built over in a given landscape (amount of built-up area) and the more dispersed this built-up area is in the landscape (spatial configuration), and the higher the uptake of built-up area per inhabitant or job (lower utilisation intensity in the built-up area), the higher the degree of urban sprawl. Weighted Urban Proliferation (WUP) metric has three components: the percentage of built-up areas (PBA), the dispersion of the built-up areas (DIS), and land uptake per person (LUP). Values for landscapes of differing sizes can be directly compared because PBA is an intensive metric, i.e., the value does not depend on the size of the landscape. The PBA dataset is used in EEA's Urban Sprawl work indicating urbanisation impacts on the land system. It covers EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c925f24-663d-4e29-8630-da61a8673368.png	EPSG:3035	2019-06-04	None	Buildings|Land use|Population distribution — demography	built environment|built-up area|urban sprawl|urbanisation	grid	GTiff	None	1000m	None	The mapping computation steps are: 1) A built-up areas were selected from the raster High Resolution Layer – Imperviousness Degree (HRL IMD). Only these pixels, where IMD value >= 30% were selected as built-up. 2) The built-up areas layer together with the reference units layer were inputs to the computations (NUTS0, NUTS2 and 1km LEAC grid were used as the reference layers) 3) PBA values were computed by equations described in https://www.wsl.ch/fileadmin/user_upload/WSL/Services_Produkte/Software_Apps/USM/USM-Toolset-User-Manual.pdf (pages 2 and 17-18 ) 4) Newly developed tool called “Urban Sprawl Metric Tool” is available on the https://www.wsl.ch/en/services-and-products/software-websites-and-apps/urban-sprawl-metrics-usm-toolset.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c925f24-663d-4e29-8630-da61a8673368	2008	2009	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Urban	http://land.discomap.eea.europa.eu/arcgis/rest/services/Urban_Sprawl/PBA_1km_2009y/MapServer	eea_r_3035_1_km_pba2009_2008-2009	None	None
bd1c6abc-a413-489a-91c7-e2690e01ff0e	Imperviousness_Density_100m_2009	High Resolution Layer: Imperviousness Degree 2009 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd1c6abc-a413-489a-91c7-e2690e01ff0e.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd1c6abc-a413-489a-91c7-e2690e01ff0e	2008	2010	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessDensity_2009/MapServer	copernicus_r_3035_100_m_imd_2008-2010	None	None
dd62f02d-a9e0-4e4f-906c-d5a913062deb	Imperviousness_Density_100m_2012	High Resolution Layer: Imperviousness Degree 2012 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Imperviousness_Density_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dd62f02d-a9e0-4e4f-906c-d5a913062deb.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd62f02d-a9e0-4e4f-906c-d5a913062deb	2011	2013	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Imperviousness_Density_2012/MapServer	copernicus_r_3035_100_m_imd_2011-2013	None	None
8526ff78-b000-42e1-8360-a2fb3a51e4ac	Accounting_administrative_boundaries	Administrative boundaries of EEA39, Apr. 2018	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/AdministrativeBoundaries_EEA39/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset represents the administrative boundaries of the 39 EEA countries at various aggregation level: Country (NUTS0), NUTS1, NUTS2, and NUTS3 regions. The dataset is created in raster format with a spatial resolution of 100m grid size. Spatial extent of the dataset is adjusted to the latest Corine Land Cover product [Corine Land Cover 2012 (raster 100m) - version 18, Sep. 2016]. Administrative boundaries were derived from the EUROSTAT GISCO dataset [European Commission, Eurostat (ESTAT), GISCO -Nomenclature of Territorial Units for Statistics 2016 (NUTS), Mar. 2018], EuroGeographics product [EuroBoundaryMap (full European coverage) - version 12, Jan. 2018], and coastal areas were derived from the Economic Exclusive Zone dataset [version 10.0 available in marineregions.org]. This dataset is created as a reference layer for performing spatial analysis and calculating statistics at country level for the European territory as needed by accounting activities such as Land and Ecosystem Accounting (LEAC).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8526ff78-b000-42e1-8360-a2fb3a51e4ac.png	None	2019-06-04	None	Administrative units|Geographical names|Statistical units	administrative boundary|national boundary|sub-national boundary	grid	GTiff	None	100m	None	The administrative boundaries from the different sources have been merged and then rasterized at 100 m resolution to fully cover the extent of the CLC land mask. Source data used are: GISCO for the official NUTS countries 2016, EuroBoundaryMap version 12.0 (for the EEA39 countries not available in GISCO dataset, being Bosnia and Herzegovina, Albania, Montenegro, Kosovo, Gibraltar, Isle of Man, Jersey and Guernsey) and Economic Exclusive Zone version 10.0 for assigning a country value to those coastal water pixels available in CLC but not defined by the other source products used. The spatial extent and grid size of the resulting raster is matching with the CLC land mask v18.5 [CLC 2012 reference land mask (resolution 100m), Apr. 2016]. The lookup table[AdmBound_EEA39_lookup.csv] can be linked joining the attribute “ID_ADM” with the raster “value”. The table details code and label for NUTS, 3, 2, 1 and 0 levels. Sea pixels are derived at NUTS0 level (and replicated for the other levels), defined as [code_country] + "_SEA" (e.g. ES_SEA) Disputed sea areas are defined as [code_country1]+[code_country2] + "_SEA" Disputed land areas are defined as "No Country", with ADM_ID = 8888 In the same way, countries which are not part of the EEA39 but are available in CLC (San Marino, Vatican) are defined as "No Country", with ADM_ID = 8888. The "TAA" code and "TAA_DESN" description fields help in differentiate pixels among "Land Area", "Inland Water", Coastal Water, "Special Area" and "No Country" values. The attribute table has a column for each country group (see list below), with Boolean value (e. 1/0) to facilitate the selection. EEA39: EEA33 + EEA cooperating countries (Albania, Bosnia and Herzegovina, the North Macedonia, Montenegro, Serbia, Kosovo under the UN Security Council Resolution 1244/99) EEA33: EEA32 + Croatia EEA32: 32-Member Countries of the EEA (EU15 + EU10 + EFTA4 + Romania, Bulgaria and Turkey) EFTA4: Iceland, Liechtenstein, Norway, Switzerland EU15: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain, Sweden, the United Kingdom EU10: Cyprus, Czech Republic, Estonia, Latvia, Lithuania, Hungary, Malta, Poland, Slovenia, Slovakia EU27: EU15 + EU10 + Bulgaria + Romania EU28: EU27 + Croatia	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8526ff78-b000-42e1-8360-a2fb3a51e4ac	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Administrative_boundaries	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/AdministrativeBoundaries_EEA39/MapServer	eea_r_3035_100_m_adm-boundaries-eea39_2016-2017	None	None
7ce1666b-fcdc-4cf3-91f0-96b58ad14e99	Marine_regions|Marine_subregions	Europe Seas - version 1, Dec. 2018	None	None	http://marine.discomap.eea.europa.eu/arcgis/services/Marine/EuropeSeas_2018/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	In the Marine Strategy Framework Directive - MSFD (Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008 establishing a framework for community action in the field of marine environmental policy), four marine regions are listed (Article 4): Baltic Sea, North-east Atlantic Ocean, Mediterranean Sea and the Black Sea, among which the following two are further divided into four subregions each: North-east Atlantic Ocean: o The Greater North Sea, including the Kattegat and the English Channel o The Celtic Seas o The Bay of Biscay and the Iberian Coast o Macaronesia Mediterranean Sea: o The Western Mediterranean Sea o The Adriatic Sea o The Ionian Sea and the Central Mediterranean Sea o The Aegean-Levantine Sea Apart of these, there are other seas also surrounding Europe, namely the Norwegian, Iceland, Barents and White Seas. The present layer provides the spatial extent of Europe's seas, including the MSFD regions and subregions, as agreed by the MSFD Committee in November 2016.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ce1666b-fcdc-4cf3-91f0-96b58ad14e99.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Sea regions	Marine Strategy Framework Directive|marine environment|sea	vector	FGeo	None	1:100000	None	The present layer provides the spatial extent of the regions and subregions defined under the MSFD, together with the delineation of other relevant seas surrounding Europe. The delineation of the marine regions and subregions under the MSFD has been developed since 2010 based on multiple inputs from Member State representatives participating in groups defined under the MSFD Common Implementation Strategy, reporting under the MSFD Initial Assessment, ICES advice and Marine Regions. The process has especially been developed under the MSFD CIS Working Group on Data, Information and Knowledge Exchange (WGDIKE) through documents DIKE 3/2011/06 from 5-6th September 2011, DIKE 4/2011/05 from 7-8th November 2011, DIKE 5/2012/08 from 12-13th March 2012, DIKE TG1/2012/04 from 4th July 2012 and, lastly, DIKE 6/2012/11 from 30-31th October 2012. Since then, it has been developed through cooperation between DG ENV, EEA and the ETC-ICM (via ICES as an ETC-ICM partner) and a consultation with Member States in 2015. A map with the layers of marine regions and subregions has also been through a Commission inter-service consultation with all DG’s led by DG ENV, and adopted by EU Member States in the MSFD Committee in November 2016. The boundaries between the marine regions and subregions have, to the extent possible, been harmonised with existing boundaries established under the Regional Sea Conventions, the biogeographic boundaries established under the Habitats Directive and the boundaries of marine waters reported by EU Member States under the MSFD. The ICES ecoregions are being aligned with the MSFD region and subregion boundaries. The inner boundary of all regions and subregions has used the “EEA coastline for analysis” (see https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-2); this is a practical solution because the MSFD inner boundary formally follows that defined for coastal waters under the Water Framework Directive, for which a consistent boundary is not yet available. Therefore, since it includes the delineation of marine regions and subregions agreed under the MSFD, the present layer should take into account the following: a.The marine regions and subregions defined under the MSFD are intended for the sole purpose of supporting the implementation of the MSFD by Member States, stakeholders and the European Commission and its agencies. b. The present layer provides boundaries of the marine regions and subregions as listed in MSFD Article 4, together with the delineation of other relevant seas surrounding Europe. c. The layer is not intended to provide boundaries of the marine waters of Member States. This means that the layer does not represent the geographic scope of application of the MSFD as the MSFD only applies to Member States' marine waters, which are understood to lie within the marine regions and subregions. Further, in those areas of Member States' marine waters, the layer makes no distinction between the jurisdiction over both the water column and the seabed or only the seabed. d. As such the layer should not be understood as representing international marine borders. To this end, the following disclaimer will accompany the layer: "This layer serves as a working tool only and shall not be considered as an official or legally-binding layer representing marine borders in accordance with international law. This layer shall be used without prejudice to the agreements that will be concluded between Member States or between Member States and non-EU states in respect of their marine borders.". e. As they are not intended to provide boundaries of Member States' marine waters, the landward boundaries used do not constitute the formal boundary of these marine waters, but instead uses a harmonised coastline boundary for cartographic consistency. f. In the North East Atlantic Ocean region, the outer boundary of the Celtic Seas, Bay of Biscay and the Iberian Coast and Macaronesia subregions is intended to fully encompass the marine waters of the relevant Member States. This includes the Continental Shelf areas where these extend beyond Exclusive Economic Zones. For the North East Atlantic Ocean region, the boundaries shown in the present layer include those Continental Shelf areas which have so far been reported by the Member States concerned. As and when Member States report modifications to the boundaries of their marine waters, such as further Continental Shelf areas following conclusions under UNCLOS processes, the layer should be updated. g. Notwithstanding the need to update the layer on the basis of point (f), the boundaries of the MSFD marine regions and subregions should be periodically reviewed to ensure they serve the purposes of the MSFD, and in particular an ecosystem-based approach to management of the marine environment. Such review should be undertaken in advance of the periodic updates of Article 8 and take into account the latest scientific evidence on the characteristics of the marine ecosystems, as reflected in MSFD Art. 3(2). Finally, the following notes are relevant for the understanding of the layer: - The area with Id "ACSo" indicates an area to which both the United Kingdom and the Government of the Kingdom of Denmark together with the Government of the Faroes have transmitted overlapping submissions to the Commission on the Limits of the Continental Shelf (CLCS) in fulfilment of their respective rights and obligations under Article 76 and Annex II to the United Nations Convention on the Law of the Sea in order to determine entitlement of outer continental shelf areas. Therefore, the present layer should not be used in any way to prejudice the determination of that question by the CLCS in due course. -The area with Id "ATLna" shows the delineation of the outer limits of the continental shelf beyond 200 M from the territorial sea baselines of France, Ireland, Spain and the United Kingdom in respect of the area of the Celtic Sea and the Bay of Biscay, as provided by the four countries to the Commission on the Limits of the Continental Shelf (CLCS) and included in its recommendations issued on 24 March 2009. Therefore, the layer shall be used without prejudice to the agreements that will be concluded in due course between these Member States on their marine borders in this area. -The seas of Azov and Marmara do not fall within the geographic scope of application of the Bucharest Convention. That's why they don´t have the same Id as the Black Sea region, even if they are part of the MSFD Black Sea region.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ce1666b-fcdc-4cf3-91f0-96b58ad14e99	None	None	FALSE	Baltic Sea|Barents Sea|Black Sea|Iceland Sea|Mediterranean Sea|Northeast Atlantic Ocean (40W)|Norwegian Sea|White Sea	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Marine	http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/EuropeSeas_2018/MapServer	eea_v_4326_100_k_europe-seas_p_2010-2018_v01_r00	None	None
923aee45-1779-40bb-b90c-8e4d5c51350f	UWWTD_Sensitive_Areas_Coastal_Waters_lines	Urban Waste Water Treatment Directive, Sensitive areas - coastal waters - lines, Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Reference layer of the coastal waters sensitive areas - lines, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_coastL: the layer displays coastal waters sensitive areas - lines designated by Member States as sensitive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/923aee45-1779-40bb-b90c-8e4d5c51350f.png	EPSG:4258	2019-06-04	None	Area management/restriction/regulation zones and reporting units	Urban Waste Water Treatment Directive|coastal water|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality	vector	SHP	None	100m	None	Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected. A detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/923aee45-1779-40bb-b90c-8e4d5c51350f	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-sa-coast-lines_p_2013-2014_v05_r00	None	None
bd3a76cb-ce0d-4464-a17e-befcfff761be	UWWTD_Sensitive_Areas_Lakes	Urban Waste Water Treatment Directive, Sensitive areas - lakes, Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Reference layer of the lakes sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_lake: the layer displays lakes designated by Member States as sensitive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd3a76cb-ce0d-4464-a17e-befcfff761be.png	EPSG:4258	2019-06-04	None	Area management/restriction/regulation zones and reporting units	Urban Waste Water Treatment Directive|lake|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality	vector	SHP	None	100m	None	Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected. A detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd3a76cb-ce0d-4464-a17e-befcfff761be	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-sa-lakes_p_2013-2014_v05_r00	None	None
5b35f06e-8c6b-4907-b8f4-39541d170360	UWWTD_Sensitive_Areas_Rivers	Urban Waste Water Treatment Directive, Sensitive areas - rivers, Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Reference layer of the rivers sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_river: the layer displays rivers designated by Member States as sensitive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5b35f06e-8c6b-4907-b8f4-39541d170360.png	EPSG:4258	2019-06-04	None	Area management/restriction/regulation zones and reporting units	Urban Waste Water Treatment Directive|river|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality	vector	SHP	None	100m	None	Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected. A detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5b35f06e-8c6b-4907-b8f4-39541d170360	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-sa-rivers_p_2013-2014_v05_r00	None	None
c805fb20-1f54-4e25-8f90-21f8faeea3fa	UWWTD_Sensitive_Areas_Catchments	Urban Waste Water Treatment Directive, Sensitive areas - catchments, Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Reference layer of the catchments of sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_catchment: the layer displays catchments of sensitive areas designated by Member States as sensitive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c805fb20-1f54-4e25-8f90-21f8faeea3fa.png	EPSG:4258	2019-06-04	None	Area management/restriction/regulation zones and reporting units	Urban Waste Water Treatment Directive|catchment|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality	vector	SHP	None	100m	None	Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected. A detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c805fb20-1f54-4e25-8f90-21f8faeea3fa	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-sa-catchments_p_2013-2014_v05_r00	None	None
b9b9b305-1c3e-4fd9-bd78-33ac7187ab21	UWWTD_Sensitive_Areas_Coastal_Waters_areas	Urban Waste Water Treatment Directive - Sensitive areas - Coastal waters - areas, Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Reference layer of the coastal waters sensitive areas - areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_coastA: the layer displays coastal waters sensitive areas - areas designated by Member States as sensitive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9b9b305-1c3e-4fd9-bd78-33ac7187ab21.png	EPSG:4258	2019-06-04	None	Area management/restriction/regulation zones and reporting units	Urban Waste Water Treatment Directive|coastal water|sensitive area|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality	vector	SHP	None	100m	None	Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected. A detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9b9b305-1c3e-4fd9-bd78-33ac7187ab21	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-sa-coast-areas_p_2013-2014_v05_r00	None	None
3fcdc6b0-97ea-4f88-9041-445275434fcd	UWWTD_Sensitive_Areas_Transitional_Waters	Urban Waste Water Treatment Directive, Sensitive areas - transitional waters, Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	Reference layer of the transitional waters sensitive areas, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Receiving area is the area receiving discharges of waste water from agglomerations. SA_TW: the layer displays transitional waters designated by Member States as sensitive.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3fcdc6b0-97ea-4f88-9041-445275434fcd.png	EPSG:4258	2019-06-04	None	Area management/restriction/regulation zones and reporting units	Urban Waste Water Treatment Directive|sensitive area|transitional waters|urban wastewater|waste water|waste water discharge|waste water treatment plant|water quality	vector	SHP	None	100m	None	Vector database of the sensitive areas was compiled by the ETC ICM from the spatial data submission reported in previous UWWTD reporting periods and updated for the last time within 9th UWWTD reporting period (UWWTD data call 2015). European seamless dataset of sensitive areas represent the final product of European data integration. The process of data integration started when national deliveries have been accepted in the EIONET Central Data Repository and the letter of confirmation delivered . Delivered national data were produced in standard European coordinate reference - ETRS89. The procedure of creating and updating a GIS reference layer on sensitive areas was the following: 1) Investigating the data format used and transformation to shape file (where needed) 2) Investigating the coordinate system used and projecting the data to ETRS89 coordinate system (where needed) 3) Overlaying the data with the ERM 1:250 000 boundaries using the update function 4) Fitting of sensitive areas inside ERM boundaries using the dissolve and eliminate functions 5) Creating of normal areas inside the countries as a supplement to sensitive areas 6) Harmonization of attributes - re-naming of columns, changing of column types 7) Loading the cleaned MS layer into the resulting EU layer. If the newly loaded member state layer is an update of an existing layer in the EU dataset, the old data for the country being updated is completely removed first 8) Cleaning of the resulting EU layer using editing tools and the repair geometry function. The most important work was the trans-boundary harmonization and harmonization of attributes. Some of the topology requirements had to be neglected and reference layers were created, even though not being absolutely topologically clean. For the working scale of 1:250 000, most of the remaining inconsistencies are not visible at all, especially for small polygons or lines. The rules on overlapping different sensitive areas layers had to be completely neglected. A detailed description of the dataset and its processing is provided with the dataset (UWWTD_GIS_reference_v4.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3fcdc6b0-97ea-4f88-9041-445275434fcd	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-sa-tw_p_2013-2014_v05_r00	None	None
38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5	UWWTD_Treatment_Plants	Urban Waste Water Treatment Directive, Treatment plants - PUBLIC VERSION - Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	UWWTD Treatment Plants, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Dataset UWWTD_TreatmentPlants contains urban waste water treatment plants and collecting systems without UWWTP, including their coordinates, capacity and actual load treated, type of treatment and data on the performance of plants. The GIS dataset available on the download link https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5 contains treatment plants selected for displaying on the UWWTD maps only (https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/interactive-maps/urban-waste-water-treatment-maps), i.e. active and connected treatment plants + availability of correct coordinates in the reported data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5.png	None	2019-06-04	None	Production and industrial facilities	Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality	vector	SHP	None	100m	None	Treatment plants data were reported by Member states in tabular format. Spatial position of individual treatment plants was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Inactive or disconnected treatment plants and treatment plants with obviously wrong coordinates were removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/38d0fcfd-ee1e-4de7-b4a0-cd87409b8fa5	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-tp_p_2013-2014_v05_r00	None	None
10b993d7-10e4-49b9-80fa-af95ba50428d	UWWTD_Agglomerations	Urban Waste Water Treatment Directive, Agglomerations - PUBLIC VERSION - Nov. 2017	None	None	http://water.discomap.eea.europa.eu/arcgis/services/UWWTD/UWWT_WM_2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	UWWTD Agglomerations, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Dataset UWWTD_Agglomerations contains agglomerations reported by countries with generated load ≥ 2000 p.e. (or even smaller), including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS. The GIS dataset available on the download link https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-5 contains agglomerations selected for displaying on the UWWTD maps only (https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/interactive-maps/urban-waste-water-treatment-maps), i.e. active agglomerations + availability of correct coordinates in the reported data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/10b993d7-10e4-49b9-80fa-af95ba50428d.png	None	2019-06-04	None	Production and industrial facilities	Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|water quality	vector	SHP	None	100m	None	Agglomerations data were reported by Member states in tabular format. Spatial position of individual agglomeations was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Inactive agglomerations and agglomerations with obviously wrong coordinates were removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10b993d7-10e4-49b9-80fa-af95ba50428d	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/UWWTD/UWWT_WM_2017/MapServer	eea_v_4258_100_m_uwwtd-agglo_p_2013-2014_v05_r00	None	None
f41103f0-73ba-4fe7-8cb6-12b7e3c4f189	ECRINS_Functional_Catchment	European catchments and Rivers network system (Ecrins), functional elementary catchments (fec) - version 1, Jun. 2012	None	None	http://water.discomap.eea.europa.eu/arcgis/services/Ecrins/ECRINS_FunctionalElementaryCatchments/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	This personal geodatabases (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the “functional elementary catchments” datasets of Ecrins v1.0 The FECs apportion into two big categories: the coastal FECs and the continental FECs. Coastal FECs have the following characteristics: they may have 0 to several outlets, they have no upstream FEC and they touch a terminal recipient (sea or endorheic lake). They ID starts by ‘W’. The continental FECs may have an outlet, but at least one upstream if the FEC is terminal. Continental FECs belong to three categories: upstream (no upstream FEC), intermediates (upstream(s) and one downstream or terminal (upstream(s) and no downstream. The database contains a single table of features, named C_Zhyd that contains the Ecrins version to which these FECs refer, the FEC ID and attribute values. Special mention to field Code_Arbo, specially designed to circulate upstream with flat algorithm instead of recursive algorithm. Full documentation is in EEA technical report 9/2012, downloadable from the EEA website.	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f41103f0-73ba-4fe7-8cb6-12b7e3c4f189.png	EPSG:3035	2019-06-04	None	None	hydrography	vector	PGeo	None	1:250000	None	Product is based on CCM River and Catchment Database, version 2.1 Some hundreds of source CCM elementary catchments have been discarded or reattached. All source CCM catchments have been reallocated to sea shores. Processing consisted of dissolving, under strict control of topology, the 1,409,644 CCM elementary catchments into more homogeneous 181,071 FECS covering the same geographical area, based on size criteria (shrink the range) and Strahler order.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f41103f0-73ba-4fe7-8cb6-12b7e3c4f189	None	None	FALSE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://water.discomap.eea.europa.eu/arcgis/rest/services/Ecrins/ECRINS_FunctionalElementaryCatchments/MapServer	eea_v_3035_250_k_ecrins-fec_1990-2006_rev01	None	None
3473589f-0854-4601-919e-2e7dd172ff50	EUDEM	EU-DEM (raster) - version 1.1, Apr. 2016	None	None	http://image.discomap.eea.europa.eu/arcgis/services/Elevation/DEM_v_1_1/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The EU-DEM v1.1 is a resulting dataset of the EU-DEM v1.0 upgrade which enhances the correction of geo-positioning issues, reducing the number of artefacts, improving the vertical accuracy of EU-DEM using ICESat as reference and ensuring consistency with EU-Hydro public beta. EU-DEM v1.1 is available in Geotiff 32 bits format. It is a contiguous dataset divided into 100x100 km tiles, resulting in a total of 1992 tiles of 4000x4000 pixel at 25m resolution with vertical accuracy: +/- 7 meters RMSE. The tiles have been grouped in big regions: - EUDEM2_ASIA (Turkey) - EUDEM2_ATLAN (Hondo and Fr_Islands) - EUDEM2_BRITAIN (Thames, Shannon and Tweed) - EUDEM2_EUROPE_1 (Duero, Ebro, Tajo, Guadalquivir and Jucar) - EUDEM2_EUROPE_2 (Tirso, Mesima, Tevere and Po) - EUDEM2_EUROPE_3 (Garonne, Rhone, Loire, Seine and western Rhine) - EUDEM2_EUROPE_4 (Danube) - EUDEM2_EUROPE_5 (Skjern, Nemunas, Vistula, Oder, Elbe and Eastern Rhine) - EUDEM2_EUROPE_6 (Bulgaria and Pinios) - EUDEM2_ICELAND (Iceland) - EUDEM2_SCAND (Vorma, Gota, Angerman, Tana, Kemi and Neva) - EUDEM2_SOUTH_AMERICA (Fr_Guiana) EU-DEM v1.1 upgrade was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1/view	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3473589f-0854-4601-919e-2e7dd172ff50.png	EPSG:3035	2019-06-04	None	None	digital land model|land cover|land use|landscape alteration	grid	GTiff	None	25m	None	•Correction of geo-positioning issues in EU-DEM v1.0 as reference also using SPOT 2011 imagery •Bias adjustment with ICESat points •Screening and removal of artefacts in the EU-DEM v1.0, including the presence of blunders (i.e. negative or positive anomalies) •Ensuring consistency with EU-Hydro to produce a better river network topology: --Consistency of the coastline with the EU-HYDRO coastline, including the removal of DEM values outside the EU-HYDRO coastline --Use of the EU-HYDRO coastline to smooth the gradient to the coast in flat regions --Burning of EU-HYDRO water bodies to set EU-DEM to the minimum height inside the water body, smoothing the boundaries	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3473589f-0854-4601-919e-2e7dd172ff50	None	None	FALSE	Elevation|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Topography	http://image.discomap.eea.europa.eu/arcgis/rest/services/Elevation/EUElev_DEM_V11/MapServer	copernicus_r_3035_25_m_eu-dem_2011_rev1-1	None	None
da419ff3-5ae7-46a0-b0c0-ebf2d487f964	EUHYDRO_CL	EU-Hydro Coastal Line (vector), Jun. 2016	None	None	https://image.discomap.eea.europa.eu/arcgis/services/EUHydro/Coastal/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	EU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. EU-Hydro Coastal Line is a separate layer extracted from EU-Hydro. The production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	https://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/eu-hydro-coastal/view	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/da419ff3-5ae7-46a0-b0c0-ebf2d487f964.png	EPSG:3035	2019-06-04	None	None	coastal area|drainage system|hydrographic network|landscape alteration	vector	FGeo	None	1:50000	None	Space imagery SP05 (resolution 2.5 m) and SP06 (resolution 2.5 m), space imagery IMAGE2009 (resolution 20 m), EEA member countries WFD reporting data on water bodies: for Turkey (EEA member), Albania, Bosnia-Herzegovina, FYROM, Montenegro, Kosovo and Serbia (all EEA cooperating countries) no spatial data for any category of water bodies was available, European Catchments and Rivers Network System (ECRINS); ancillary data: European Lakes and Reservoirs database (Eldred), Russian topographic maps.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/da419ff3-5ae7-46a0-b0c0-ebf2d487f964	None	None	FALSE	Hydrography|Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	https://image.discomap.eea.europa.eu/arcgis/rest/services/EUHydro/Coastal/MapServer	copernicus_v_3035_50_k_hydrocl_2006-2012	None	None
f1c6c2e1-d3f5-4326-8ead-0dad7f354eb2	EUHYDRO_RN	EU-Hydro River Network (vector), Apr. 2016	None	None	http://image.discomap.eea.europa.eu/arcgis/services/EUHydro/RiverBasine/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	EU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. EU-Hydro river network is divided into 35 basins (covering all EEA39 countries) available in geodatabase format with geometries and attributes (including HYDRO Feature Dataset with 12 Feature Classes in turn): Oder, Elbe, Rhine, Seine, Vistula, Skjern, Loire, Garonne, Rhone, Duero, Ebro, Tajo, Jucar, Guadalquivir, Shannon, Thames, Tweed, Iceland, French Guiana, French Islands, Hondo, Mesima, Tevere, Po, Tirso, Pinios/Bulgaria, Nemunas, Danube, Gota, Angerman, Neva, Kemi, Tana, Vorma, Turkey. The production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	https://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/eu-hydro-river-network/view	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1c6c2e1-d3f5-4326-8ead-0dad7f354eb2.png	EPSG:3035	2019-06-04	None	None	drainage system|hydrographic network|landscape alteration|water body	vector	FGeo	None	1:50000	None	EU-Hydro river network has been derived from 20 metres resolution imagery. The feature data extraction has been performed by photointerpretation of Very High Resolution Image Data (2011 - 2013), with resolution of 2.5 meters.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1c6c2e1-d3f5-4326-8ead-0dad7f354eb2	None	None	FALSE	Hydrography|Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	http://image.discomap.eea.europa.eu/arcgis/rest/services/EUHydro/RiverBasine/MapServer	copernicus_v_3035_50_k_hydrorn_2006-2012	None	None
47e32c1d-f025-4622-934a-f1b63572609f	Dominant_Leaf_Type_20m_2015	High Resolution Layer: Dominant Leaf Type 2015 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_DominantLeafType_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/47e32c1d-f025-4622-934a-f1b63572609f.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (Sentinel-2, Landsat 8) with reference year 2015 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based initial land cover classifications. Performing of a time series analysis to extract tree cover and its dominant leaf type (broadleaved and coniferous). Subsequently, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47e32c1d-f025-4622-934a-f1b63572609f	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_DominantLeafType_2015/MapServer	copernicus_r_3035_20_m_dlt_2014-2016	None	None
8367f5f3-5eb1-4d89-ae8d-13a70fc834e0	Forest_Type_100m_2012	High Resolution Layer: Forest Type 2012 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8367f5f3-5eb1-4d89-ae8d-13a70fc834e0.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. The thereof derived Dominant Leaf Type (DLT) product has been intersected with the Tree Cover Density (TCD) product considering a 10% density threshold and subsequently filtered with a Minimum Mapping Unit (MMU) of 0.5 ha. Thus, the derived Forest Type (FTY) product is largely following the forest definition of the Food and Agriculture Organization (FAO). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: Determined by the accuracy of the source Tree Cover Density and Dominant Leaf Type in 20m spatial resolution. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8367f5f3-5eb1-4d89-ae8d-13a70fc834e0	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Forest_Cover_Type_2012/MapServer	copernicus_r_3035_100_m_fty_2011-2013	None	None
5afeffa4-ccda-4ef9-a7ef-637cb7310f58	Dominant_Leaf_Type_20m_2012	High Resolution Layer: Dominant Leaf Type 2012 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_DominantLeafType_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5afeffa4-ccda-4ef9-a7ef-637cb7310f58.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Semi-automatic classification of pre-processed multitemporal High Resolution (HR) satellite image data (IRS-p6, ResourceSat-2, SPOT-4, SPOT-5) with reference year 2012 (+/- 1 year), using supervised and unsupervised elements, leading to scene-based binary masks of tree cover. Subsequently, a supervised classification of the dominant leaf type (broadleaved and coniferous) has been performed, considering the DLT 2015 product as a reference. Finally, interactive manual corrections of the derived tree cover mask have been performed and integrated to a seamless mosaic. Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic target accuracy: >90% Overall Accuracy. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5afeffa4-ccda-4ef9-a7ef-637cb7310f58	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_DominantLeafType_2012/MapServer	copernicus_r_3035_20_m_dlt_2011-2013	None	None
3b762efd-60fe-447d-99e0-9bdcd00262b7	Emerald_sites	Emerald sites in 2012	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/ProtectedSites/EmeraldSites/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The Emerald Network is a network of Areas of Special Conservation Interest (ASCIs), which is to be established in the territory of the Contracting Parties and Observer States to the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention), including Central and Eastern European countries and the EU Member States. For EU Member States, Emerald Network sites are those of Natura 2000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3b762efd-60fe-447d-99e0-9bdcd00262b7.png	EPSG:3035	2019-06-04	None	None	biodiversity	vector	SHP	None	1:100000	None	The data was only used for mapping. We have no information about the processing that may happen with Council of Europe on the national deliveries. The Reference portal for the Emerald network is http://www.coe.int/t/dg4/cultureheritage/nature/econetworks/portal_en.asp	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3b762efd-60fe-447d-99e0-9bdcd00262b7	None	None	FALSE	Protected sites	Access restricted to EEA and ETCs.	FALSE	Council of Europe	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EmeraldSites/MapServer	eea_v_3035_100_k_emerald_2012	None	None
8589f46b-8458-4d2d-9a70-d4b7bb14875d	NUTS	GISCO - Nomenclature of Territorial Units for Statistics 2010 (NUTS), Aug. 2012	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Land/GISCO_Nomenclature_of_Territorial_Units_for_Statistics_2010_NUTS_Aug2012/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	This data set represents the regions for level 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2010. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, respectively, moving from larger to smaller territorial units). NUTS 1 is the most aggregated level. The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction This data set has been created mainly from the EuroBoundary Map v 5.0 (Eurogeographics), geographic information from TurkStat for Turkey, the Global Administrative Unit Layer from FAO (UN) for Macedonia and a list of communes per statistical region provided by the countries. Six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are available. The public data set (1M - 60M) is available for download at http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1 The full data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. Coverage is the economical territory of the EU, EFTA countries and candidate countries as in 2010. These metadata are derived from the original metadata records available at Inspire@EC.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8589f46b-8458-4d2d-9a70-d4b7bb14875d.png	None	2019-06-04	None	None	statistical information system	vector	FGeo	None	1:60000000	None	This dataset is based on: EuroBoundaryMap (EBM) v5.0. from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2008 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat), General Register Office for Scotland (GRO) (scale 1:100.000), Digital Chart of the World from ESRI for Kaliningrad, ArcWorld from ESRI for the Aral Sea, the Caspian Sea, some other borders. The different scale levels were derived by generalisation of the 100K scale. This data set consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore two line feature classes were created: one feature class for cartograhic joiners to identify where NUTS areas have one or more enclaves and a second line feature class for cartographic separators, to identify where the NUTS limits are in the sea. The arcs of two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region&apos;s name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This data set is consistent at all scales with the following data sets: &quot;Communes 2010 – European Commission, Eurostat/GISCO&quot;, &quot;Countries 2010, European Commission - Eurostat/GISCO&quot;, &quot;Coastlines 2010, European Commission - Eurostat/GISCO&quot;, &quot;Exclusive Economic Zones 2010, European Commission - Eurostat/GISCO&quot; . Different tests were performed to ensure conceptual- , domain- and topological- consistency. A detailed description of these tests can be found in the data base manual.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8589f46b-8458-4d2d-9a70-d4b7bb14875d	None	None	FALSE	Statistical units	This data set should be referred to as: &quot;Nomenclature of Territorial Units for Statistics (NUTS) 2010 - European Commission, Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			Administrative_boundaries	http://land.discomap.eea.europa.eu/arcgis/rest/services/Land/GISCO_Nomenclature_of_Territorial_Units_for_Statistics_2010_NUTS_Aug2012/MapServer	eurostat_v_4258_x_x_gisco-nuts_2010	None	None
0176688a-1d75-45bc-8419-aaf45a59a72f	ECRINS_Drainage_Network	European catchments and Rivers network system (Ecrins), rivers - version 1, Jun. 2012	None	None	https://water.discomap.eea.europa.eu/arcgis/services/Ecrins/ECRINS_EuropeanDrainageNetwork/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	This personal geodatabase (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the “river segments” datasets of Ecrins v1.0. River segments mimic the surface rivers on a simplified way, allowing simple journeying. As for FECs, but completed because of the process, any segment may have 0, 1 or 2 upstream and single downstream. The reason for single upstream is because spurious branching segments have been removed (~160,000) from CCM source during the Ecrins making. The segments mimic rivers that are cultural, not simply defined objects. The “dummy rivers” (ID is CGENELIN) branches together all the segments which spring is most distant to the sea, then second most distant and connecting to this first set of segments, etc. the “true rivers” are those sets of segments having the same name, disregarding translation (segments on the Rheine, Rhin, etc. have same river ID). Name of true rivers is hosted in the EcrGaz database. Dummy rivers maybe sorted out as “main drains” that either connect FECs together (continental FECs) or are the most important in a coastal FEC. Main drains are hence the potential population of “WFD large rivers”, since the FEC average size is ~1/10 of the threshold catchment size of main rivers. The geodatabases contains two feature classes: C_Tr where all segments lines are. This table links to FECs, since a FEC may contain several segments. Feature class C_node contains all nodes, making implicit the flow direction that is identified in C_tr by FNode (from node) and TNode (to node). Field River_ID links to flat table RivNames in EcrGaz personal geodatabase Full documentation is in EEA technical report 9/2012, downloadable from the EEA website.	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0176688a-1d75-45bc-8419-aaf45a59a72f.png	EPSG:3035	2019-06-04	None	Hydrography	hydrography	vector	PGeo	None	1:250000	None	This dataset is derived from the segments and nodes data sets produced by CCM. Significant reprocessing has been carried out to clean the data sets, create hierarchy, populate incomplete fields (e.g. distance to the sea), create dummy rivers and, last but most important, give names to rivers. A systematic check of branching errors is currently being carried out to identify topological errors (a->B and should be A->C) based on discharge computation and name matching.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0176688a-1d75-45bc-8419-aaf45a59a72f	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	https://water.discomap.eea.europa.eu/arcgis/rest/services/Ecrins/ECRINS_EuropeanDrainageNetwork/MapServer	eea_v_3035_250_k_ecrins-rivers_1990-2006_rev01	None	None
c6d27566-e699-4d58-a132-bbe3fe01491b	Biogeographical_regions	Biogeographical regions, Europe 2016, version 1	None	None	http://bio.discomap.eea.europa.eu/arcgis/services/BioRegions/BiogeographicalRegions_LAEA/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The biogeographical regions dataset contains the official delineations used in the Habitats Directive (92/43/EEC) and for the EMERALD Network set up under the Convention on the Conservation of European Wildlife and Natural Habitats (Bern Convention). The Pannonian region of Serbia was missing in previous versions and this has been corrected in the 2016 version. Some Arctic islands which do not belong to the European part of Russia and which were erroneously included in previous versions have been removed.	https://www.eea.europa.eu/data-and-maps/data/biogeographical-regions-europe-3	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c6d27566-e699-4d58-a132-bbe3fe01491b.png	EPSG:3035	2019-06-04	None	Bio-geographical regions	biodiversity	vector	SHP	None	1:10000000	None	Biogeographical boundaries were obtained from the EU Member States and from the Emerald Network countries. These were merged together to produce a European wide map of the biogeographical regions independent of political boundaries. A number of the regions were updated during the work under Article 17 of the Habitats Directive (92/43/EEC) and in 2010 the Standing Committee to the Bern Convention adopted a number of changes according to progress in the setting-up of the Emerald Network. Changes in version 2011: • Improved boundaries for the following countries: Armenia, Austria, Azerbaijan, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, France, Germany, Norway, Poland, Portugal, Romania, Russian Federation, Slovakia, Sweden. Changes in version 2015: • Update of coast lines (the Caspian and Black Sea) • Update Ukraine from continental to Pannonian region • Improved boundaries for the following countries: Georgia, Armenia and Azerbaijan Changes in 2015, version 2: • Errors in the delineation of the ATL region have been corrected. Changes in 2016, version 1: • Correction of the lack of Pannonian region in Serbia • Removal of some Arctic islands which do not belong to the European part of Russia The scale varies inside the dataset. Some regions, e.g. in EU countries, are 1:1 000 000 while other regions are 1:1 000 000 or even 1:10 000 000.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6d27566-e699-4d58-a132-bbe3fe01491b	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright Inherited license conditions from parent dataset Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012: The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Biodiversity	http://bio.discomap.eea.europa.eu/arcgis/rest/services/BioRegions/BiogeographicalRegions_LAEA/MapServer	eea_v_3035_1_mio_biogeo-regions_2016_rev01	None	None
88bcd5b4-5ebf-442d-a9a0-bbef98704447	None	Riparian Zones Land Cover and Land Use 2012 (vector), Aug. 2015	None	None	https://image.discomap.eea.europa.eu/arcgis/services/RiparianZones/LCLU/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services. The Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive. Land Cover/Land Use (LC/LU) classification is tailored to the needs of biodiversity monitoring in a tailored buffer zone along large and medium-sized European rivers (with Strahler levels 3-8 derived from EU-Hydro). LC/LU is extracted from VHR satellite data and other available data in a buffer zone of selected rivers. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover, providing 80 distinct thematic classes with a Minimum Mapping Unit (MMU) of 0.5 ha and a Minimum Mapping Width (MMW) of 10 m. The production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88bcd5b4-5ebf-442d-a9a0-bbef98704447.png	EPSG:3035	2019-07-19	None	Land cover	hedge|land cover|land use|landscape alteration|riparian zone|tree	vector	SHP	None	10m	None	Semi-automatic classification of 1.5m VHR2 SPOT-6 and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (Optical VHR2 coverage over EU 2011-2013 and Riparian zones) and computer assisted visual refinement. Subsequently intersection of classification results with additional data (CLC 2006/2012, GIO HRL Tree Cover Density, Urban Atlas 2006/2012). Minimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88bcd5b4-5ebf-442d-a9a0-bbef98704447	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/RiparianZones/LCLU/MapServer	copernicus_v_3035_10_m_rz-lclu-2012_p_2011-2013_v01_r00	None	None
d11f66eb-a6c5-4687-b32e-881d78ec879d	None	Street Tree Layer 2012 (vector), May 2016	None	None	https://image.discomap.eea.europa.eu/arcgis/services/UrbanAtlas/STL/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The Urban Atlas provides pan-European comparable land use and land cover data for Functional Urban Areas (FUA). The Street Tree Layer (STL) is a separate layer from the Urban Atlas 2012 LU/LC layer produced within the level 1 urban mask for each FUA. It includes contiguous rows or a patches of trees covering 500 m² or more and with a minimum width of 10 meter over "Artificial surfaces" (nomenclature class 1) inside FUA (i.e. rows of trees along the road network outside urban areas or forest adjacent to urban areas should not be included). Urban Atlas is a joint initiative of the European Commission Directorate-General for Regional and Urban Policy and the Directorate-General for Enterprise and Industry in the frame of the EU Copernicus programme, with the support of the European Space Agency and the European Environment Agency.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d11f66eb-a6c5-4687-b32e-881d78ec879d.png	EPSG:3035	2019-07-19	None	Land use	land cover|land use|landscape alteration|urban area	vector	SHP	None	10m	None	The STL is a separate layer from the Urban Atlas 2012 LC/LU layer produced within the Urban Atlas 2012 LC/LU urban mask for each FUA. The production of the Street Tree Layers was performed on the basis of SPOT 5 Supermode data used for the Urban Atlas 2012 production acquired between March and November months with a preference for spring and late summer imagery. An interactive automated classification approach was applied to identify contiguous rows or a patches of trees covering 500 m² or more and with a minimum width of 10 m. A post-processing routine was applied to provide the results in vector format. The Minimum Mapping Unit is 0.5 ha. The Minimum Mapping Width is 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d11f66eb-a6c5-4687-b32e-881d78ec879d	None	None	FALSE	EFTA4|EU27	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/UrbanAtlas/STL/MapServer	copernicus_v_3035_10_m_stl-2012_p_2011-2013_v01_r00	None	None
db4cfdd3-0687-4460-a2c7-fd10ca29c214	None	EEA coastline for analysis (raw) - version 3.0, Mar. 2017	None	None	http://marine.discomap.eea.europa.eu/arcgis/services/Marine/EEA_coastline_v2017/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The EEA coastline for analysis is created for highly detailed analysis, e.g. 1:100 000, for geographical Europe. The coastline is a hybrid product obtained from projects using satellite imagery as data source: EUHYDRO [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/]. The defining criteria was altitude level = 0 from EUDEM [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-dem/view]. Outside the coverage of the EUDEM, the coastline from GSHHG was used without modifications. A few manual amendments to the dataset were necessary to meet requirements from EU Nature Directives, Water Framework Directive and Marine Strategy Framework Directive. In 2015, several corrections were made in the Kalogeroi Islands (coordinates 38.169, 25.287) and two other Greek little islets (coordinates 36.766264, 23.604318), as well as in the peninsula of Porkkala (around coordinates 59.99, 24.42). In this revision (v3, 2017), 2 big lagoons have been removed from Baltic region, because, according to HELCOM, are freshwater lagoons.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/db4cfdd3-0687-4460-a2c7-fd10ca29c214.png	EPSG:3035	2019-06-04	None	Sea regions	coast|coastal area	vector	SHP	None	1:100000	None	The criteria for defining the coastline is the line separating water from land. The EEA coastline is a product derived from two sources: EUHYDRO [http://land.copernicus.eu/pan-european/satellite-derived-products/eu-hydro/view] and GSHHG [http://www.soest.hawaii.edu/pwessel/gshhg/] A priority defined in the input data, first EUHYDRO geometry and, as auxiliary data, GSHHG dataset. The EUHYDRO do not cover the required extension of EEA coastline. The EUHYDRO gaps are in Iceland, Canarias, Madeira, Azores, small islands (not represented in EUDEM) and the northern of Black Sea. For that reason, the GSHHG dataset is an input for the process which allow to populate the EUHYDRO shapefile. The creation process was focused on generate the coastline as line datasets and, later, as secondary product, defining the polygon layer sea-land. Thank reiterative processes based on conversion (from water mask of EUHYDRO to polygon), selection, dissolving and conversion (to line) tools, it was possible to obtain a continuous and homogeneous coastline. The fundamental step into the workflow was the selection of sea features using the water mask polygon (with 255 value into EUHYDRO datasets). The inland water bodies (freshwaters) are rejected by these criteria, except the water bodies connected, at least by one point, to the sea (it is the cases of some transitional water bodies). Two Baltic lagoons have been modified with the data from SVAR geodatabase version 2012_2, Swedish Meteorological and Hydrological Institute (SMHI). The patchwork coastline has been subjected to quality assessment based on evaluate the degree of coverage and topological errors.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/db4cfdd3-0687-4460-a2c7-fd10ca29c214	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://marine.discomap.eea.europa.eu/arcgis/rest/services/Marine/EEA_coastline_v2017/MapServer	eea_v_3035_100_k_coastline-anal-raw_1995-2012_rev03	None	None
7c0cf3f2-ab54-4cd0-a635-b322df7197f6	None	Ecosystem types of Europe 2012 - Terrestrial habitats - version 3 revision 1, Feb. 2019	None	None	https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The data set aims to contribute to a better biological characterization of terrestrial ecosystems across Europe (EEA-39). As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 2 (this corresponds to EUNIS level 3 for marine habitats). The map combines spatially explicit data on land cover information with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/BD is to improve the biological description of land based ecosystem types and their spatial distribution across Europe. Since it is partly based on non-spatial explicit mapping the spatial and thematic accuracy is not of same quality as delineated maps. For terrestrial habitats the geometric and thematic accuracy is estimated in the reliability map 2012 v3.1 as secondary product. The work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further ad-dresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The MAES ecosystem typology differentiates three levels and with certain differences follows the EUNIS classification: whereas MAES level 2 the proposal corresponds to EUNIS level 1, MAES level 3 follows closely the EUNIS level 2. A representation of MAES level 2 is contained in the reliability map as secondary product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c0cf3f2-ab54-4cd0-a635-b322df7197f6.png	None	2019-06-04	None	Habitats and biotopes|Land cover	ecosystem|ecosystem type|environmental assessment|habitat|land cover|riparian zone	grid	GTiff	None	100m	None	In comparison to the Ecosystem Type Map 2006 v2.1, the Ecosystem Type Map 2012 v3.1 shows changes in four specific aspects: a) Changes of the mapping ruleset: The ruleset to translate land cover information from CLC to EUNIS level 2 has been improved to v3.1 based a validation with in-situ vegetation relevés and experience from ETM v2.1. Crosswalks to integrate new datasets of the Copernicus Land Monitoring Service are also based on ruleset v3.1. b) Use of updated datasets: • CORINE Land Cover 2012 accounting layer (instead of CLC 2012 status layer) • HRL Forests 2012 (Forest Type, Tree Cover Density) • HRL Imperviousness 2012 • OpenStreetMap (OSM) data 2015 (main roads, selected land use information) c) Integration of new available Copernicus data: • Urban Atlas 2012 • Riparian Zones 2012 • Natura 2000 (N2k) 2012 • HRL Grassland 2012 • HRL Permanent Water Bodies 2012 d) Spatial extension to include Azores Mapping process: The basic approach for the ecosystem type mapping is the geographic and thematic refinement of a certain land cover input datasets to translate the original LC information into the EUNIS classification. The mapping approach is based on four elements: 1. Original Land cover (LC) information to be mapped into EUNIS L2: - CORINE Land Cover - Copernicus Local Components: Urban Atlas, Riparian Zones, Natura 2000 - High Resolution Layers (Forest, Imperviousness, Grassland, Permanent Waterbodies) - OpenStreetMap (Main roads, selected LC classes) 2. Mapping rules based on crosswalks: Crosswalks provide the information, from what original land cover information EUNIS classes can be derived. The Mapping rules define which (stable and variable) datasets are needed for the refinement and how they have to be classified (setting thresholds) to translate the original LC information into the EUNIS classification. 3. Stable core input datasets Datasets to be used for the refinement: Environmental zone, potential natural vegetation, altitude etc. 4. Variable input datasets HRL Imperviousness, HRL Forest (Tree Cover Density) Each LC input dataset is processed and mapped into EUNIS L2 independently with its own crosswalk. The components are assembled together later in the following order (priority from low to high): 1. CLC 2012 accounting 2. Urban Atlas 2012 3. Riparian Zones 2012 4. Natura 2000 (N2k) 2012 5. HRL Imperviousness 2012 6. OSM land use 2015 7. HRL Grassland 2012 8. HRL Permanent Water Bodies 2012 9. OSM main roads 2015 10. HRL Forest 2012 (Forest Type) Outputs: a) Primary output is the actual map representing EUNIS classes on Level 2 with a resolution of 100 x 100 m. b) The Reliability Map is the secondary output containing geometric & thematic reliability, rule_ID, data source and MAES L2 classification for each raster cell. More information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c0cf3f2-ab54-4cd0-a635-b322df7197f6	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial/MapServer	eea_r_3035_100_m_ecosystem-types-terrestrial-c_p_2012_v03_r01	None	None
2f117cba-a2dd-49d2-af86-4cb52ba56ed0	None	Ecosystem types of Europe 2012 - Terrestrial habitats reliability map - version 3 revision 1, Feb. 2019	None	None	https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial_Reliability/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The data set is a secondary product accompanying the terrestrial part of the Ecosystem Type Map 2012 v3.1. It provides supplemental information: • estimated geometric reliability ranging from 1 – 10 (very low to very high) • estimated thematic reliability ranging from 1 – 10 (very low to very high) • Main original LC input data source: - Corine Land Cover - Urban Atlas - Riparian Zones - Natura 2000 (N2k) - High Resolution Layer Forest - High Resolution Layer Grassland - High Resolution Layer Imperviousness - High Resolution Layer Permanent Water Bodies - OpenStreetMap Roads - OpenStreetMap Landuse • MAES Level 2 (Urban, Cropland, Grassland, Woodland and Forest, Heathland and shrub, Sparsely vegetated land, Wetlands, Marine inlets and transitional waters)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2f117cba-a2dd-49d2-af86-4cb52ba56ed0.png	None	2019-06-04	None	Habitats and biotopes|Land cover	ecosystem|ecosystem type|environmental assessment|habitat|land cover|riparian zone	grid	GTiff	None	100m	None	The reliability map is a secondary output and produced in the course of the processing of the terrestrial part of the Ecosystem Type Map 2012 v3.1. More information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f117cba-a2dd-49d2-af86-4cb52ba56ed0	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Terrestrial_Reliability/MapServer	eea_r_3035_100_m_ecosystem-types-terrestrial-r_p_2012_v03_r01	None	None
aa791cf1-ead5-4364-b0c3-4c54dc83c7e4	None	Ecosystem types of Europe 2012 - Marine habitats - version 3 revision 1, Feb. 2019	None	None	https://bio.discomap.eea.europa.eu/arcgis/services/Ecosystem/EcosystemTypeMap_v3_1_Marine/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The data set aims to contribute to a better biological characterization of European marine ecosystems. As such it represents probabilities of EUNIS (EUropean Nature Information System) habitat presence at Level 3 for marine habitats including information on sea ice coverage (this corresponds to EUNIS level 2 for terrestrial habitats). The map combines spatially explicit data on marine bathymetry and sea-bed with non-spatially referenced habitat information of the EUNIS classification. The objective of the data set produced by EEA and its Topic Centre ETC/ULS is to improve the biological description of marine based ecosystem types and their spatial distribution. The work supports Target 2 Action 5 of the implementation of the EU Biodiversity Strategy to 2020, established to achieve the Aichi targets of the Convention of Biological Diversity (CBD). It further addresses the MAES process (Mapping and Assessing of Ecosystems and their Services). The data set represents 2 classes of the MAES classification level 3, namely “Marine inlets and transitional waters” and “Marine”. The dataset comprises the following information: • Sea region (1 – Arctic, 2 – Atlantic, 3 – Baltic, 4 – Mediterranean, 5 – Black Sea) • Sea zone (1 – Littoral, 2 – Infralittoral, 3 – Circalittoral, 4 – Offshore circalittoral, 5 – Upper bathyal, 6 – Lower bathyal, 7 – Abyssal,8 - Coastal Lagoons, 9 - Coastal Lagoons) • Substrate (0 – undetermined substrate, 1 – rock and biogenic, 3 – coarse sediment, 4 – mixed sediment, 5 – sand, 6 – mud) • Sea ice coverage (0 – no sea ice presence, 1 – seasonal sea ice presence, 2 – perennial sea ice presence)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa791cf1-ead5-4364-b0c3-4c54dc83c7e4.png	None	2019-06-04	None	Habitats and biotopes|Land cover|Oceanographic geographical features|Sea regions	ecosystem|ecosystem type|environmental assessment|habitat|land cover	grid	GTiff	None	100m	None	The process of creation of this dataset is as follows: A – Marine habitats Level 1 1. Create Sea mask, Sea Extent and Sea Region extended mask from CLC 2012 v18.5, Europe Seas 2010-2017 (vector 100k) and MSFD marine regions 2017 (vector 100k) B – New EUNIS-crosswalks 2. Apply “EUSEAMAP/new EUNIS Crosswalk” to derive EUNIS Level 3 from EUSEAMAP 2017 3. Apply “Geology/new EUNIS Crosswalk” to derive seabed geology from EMODNET C – Continental Shelf (for Mediterranean Region only) 4. Derive Mediterranean continental shelf and littoral mask from Continental marine margins, EMODNET bathymetry and Sea Regions extended mask D – Marine habitats level 3 separate processing per each of the 5 sea regions 5. Apply Sea Region bathymetry rules to define sea zone 6. Apply Biological zone rules to extract biological zone per each sea region: - Littoral - Infralittoral - Circalittoral - Offshore Circalittoral - Upper bathyal - Lower bathyal - Abyssal E – Sea Ice (for Arctic and Baltic only) 7. Apply minimum and maximum Sea Ice extent to derive sea ice coverage for Arctic and Baltic region F – Final Integration 8. Combine of all EUNIS maps (Cell statistics) 9. Euclidean Allocation for gap filling 10. Adjustment of final extent H - Transitional habitats 11. Deriving "Estuaries" and "Coastal Lagoons" from CLC Accounting, Riparian Zones and Natura 2000 More information can be found in the ETC/BD Technical Paper 11/2018 "Ecosystem Type Map v3.1-Terrestrial and marine ecosystems" provided with the dataset (Ecosystem_mapping_v3_1.pdf).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa791cf1-ead5-4364-b0c3-4c54dc83c7e4	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://bio.discomap.eea.europa.eu/arcgis/rest/services/Ecosystem/EcosystemTypeMap_v3_1_Marine/MapServer	eea_r_3035_100_m_ecosystem-types-marine_p_2012_v03_r01	None	None
74e5eff0-72d0-42d2-b1ca-d3202b060ecf	None	Grassland intensification trend by nutrient inputs 2005-2010, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_Nutrient_2005_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of grassland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74e5eff0-72d0-42d2-b1ca-d3202b060ecf.png	EPSG:3035	2019-06-04	None	Land cover|Land use|Statistical units	grassland|land cover|land use|nutrient|pressure	vector	SHP	None	1:1000000	None	Nutrient input is a specific indicator related to the intensification processes in the management of croplands and grassland ecosystems. The input data are taken from the EEA nutrient accounts, developed by EEA and ETC-ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors that were calculated to assess the pressure on cropland and grassland ecosystems based on the spatial distribution of ecosystems using the European Ecosystem Map. EEA nutrient account data for 2005 to 2010 are aggregated at NUTS3 (NUTS2 for Germany) level. Yearly change rates and the average change rates are calculated. The average change rate (i.e. Sum of all yearly change rates divided by number of change rates) is used as trend indicator.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74e5eff0-72d0-42d2-b1ca-d3202b060ecf	None	None	FALSE	EU28	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Grassland_intensification_Nutrient_2005_2010/MapServer	eea_v_3035_1_mio_grassland-intensification-nuts3_2005-2010	None	None
a3fb227d-3666-400b-9152-58f82acb525b	None	Grassland intensification by management practices in 2010, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset shows the percentage of grasslands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total grassland area within NUTS3 regions (NUTS2 for Germany). The management pressure on grassland was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc). This dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a3fb227d-3666-400b-9152-58f82acb525b.png	EPSG:3035	2019-06-04	None	Land cover|Land use|Statistical units	grassland|land cover|land use|nutrient|pressure|state	vector	SHP	None	1:1000000	None	The dataset shows the percentage of grassland highly pressured in 2010 respect to the total of grassland area by NUTS as state indicator (at NUTS3, NUTS2 for Germany). The state of pressure were calculated by administrative unit. Briefly, the data derives from the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (*). This was used to localise the pressures on agroecosystems coming from management practices at the European level. The nitrogen application data was selected as proxy for measuring the intensification pressure on agro-ecosystem from the Farm Structure Survey (FSS). Those were disaggregated using the Land Use/Cover area Frame Statistical Survey (LUCAS) observation on crop types (Jacques and Gallego, 2005). Multinominal regression, including factors as topographic conditions, soil and climate conditions, population density and accessibility, was used to predict the intensity classes (Temme and Verburg, 2011). The indicator developed identifies the percentage of grassland areas highly pressured (classes 4 and 5) in 2010, respect to the total of grassland area by NUTS. * https://www.eea.europa.eu/publications/mapping-europes-ecosystems * https://projects.eionet.europa.eu/eea-ecosystem-assessments/library/working-documents-and-maps-ecosystem-pressures/deliverables/final_reports_ecosystempressures/final_reports_ecosystempressures/3.finalreport_task18413_ecosystempressure_agroecosystems Jacques P., F.J. Gallego 2005 The LUCAS project—the new methodology in the 2005–2006 surveys Workshop on Integrating Agricultura and Environment: CAP Driven Land Use Scenarios, Belgirate (2005) Temme, A. & Verburg, P.H. (2011). Mapping and modelling of changes in agricultural intensity at the European extent. Agriculure, Ecosystems & Environment 140, 46-56. Kleijn et al., 2009	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a3fb227d-3666-400b-9152-58f82acb525b	None	None	FALSE	Austria|Belgium|Bulgaria|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Netherlands|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Grassland_intensification_2010/MapServer	eea_v_3035_1_mio_high-intensification-grassland_2010	None	None
19ab220c-bcef-41b3-96a9-4ae820f951dc	None	Cropland intensification by CORINE Land Cover changes 2006-2012, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_LCF_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of cropland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/19ab220c-bcef-41b3-96a9-4ae820f951dc.png	EPSG:3035	2019-06-04	None	Land cover|Land use|Statistical units	agricultural land|land cover|land use|nutrient|pressure	vector	SHP	None	1:1000000	None	Land cover changes between the 2 most recent Corine Land Cover layers (2006, 2012) were used to identify the internal flows related to more intense use. The internal flows (LCF) related to intensification are defined based on an expert consultation done in the context of the ETC-ULS*. Those represent land cover changes that are linked to increase in resource and machinery use. Under this point, the LCF selected were: - lcf421: Conversion from arable land to permanent irrigation perimeters: Extension of permanent irrigation (incl. rice fields) over arable land - lcf441: Conversion from permanent crops to permanent irrigation perimeters: Conversion from permanent crops (incl. when associated with arable land - CLC 241) to permanent (large) irrigation perimeters and rice fields - lcf451: Conversion from arable land to vineyards and orchards: Plantation of vineyards, orchards on arable land. - lcf452: Conversion from arable land to olive groves: Plantation of olive groves on arable land. - lcf453: Diffuse conversion from arable land to permanent crops: Conversion from uniform arable land to associations of permanent crops and annual crops (CLC241). - lcf463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns. An intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a cropland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 (NUTS2 for Germany) level, leading to the percentage of LCF change per specific land cover type. *https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency/deliverables/	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19ab220c-bcef-41b3-96a9-4ae820f951dc	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_LCF_2006_2012/MapServer	eea_v_3035_1_mio_cropland-intensification-lcf_2006-2012	None	None
98fed314-cc2a-4744-a4c9-1ee7473d58cb	None	High Resolution Layer: Water and Wetness 2015 (raster 20m), Mar. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetness_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. The production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98fed314-cc2a-4744-a4c9-1ee7473d58cb.png	EPSG:3035	2019-06-04	None	Land cover	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98fed314-cc2a-4744-a4c9-1ee7473d58cb	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetness_2015/MapServer	copernicus_r_3035_20_m_waw_2009-2015	None	None
7cc50241-0534-42c7-be99-76020463ebe6	None	Cropland intensification trend by nutrient inputs 2005-2010, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_Nutrient_2005_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of cropland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7cc50241-0534-42c7-be99-76020463ebe6.png	EPSG:3035	2019-06-04	None	Land cover|Land use|Statistical units	agrosystem|land cover|land use|nutrient|pressure	vector	SHP	None	1:1000000	None	Nutrient input is a specific indicator related to the intensification processes in the management of croplands and grassland ecosystems. The input data was taken from the EEA draft nutrient accounts*, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors that were calculated to assess the pressure on cropland and grassland ecosystems based on the spatial distribution of ecosystems using the European Ecosystem Map. EEA draft nutrient account data for 2005 to 2010 are aggregated at NUTS3 (NUTS2 for Germany) level. Yearly change rates and the average change rates are calculated. The average change rate (i.e. Sum of all yearly change rates divided by number of change rates) is used as trend indicator. *http://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2015/1.8.2.2-assessment-critical-loads-nitrogen-phosphorus-and-cadmium-and-their/naccounts_uma	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7cc50241-0534-42c7-be99-76020463ebe6	None	None	FALSE	EU28	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_Nutrient_2005_2010/MapServer	eea_v_3035_1_mio_cropland-intensification-nuts3_2005-2010	None	None
7067f539-e0e6-4be5-9f97-471362b8466c	None	Cropland intensification by management practices in 2010, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Cropland_intensification_2010/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset shows the percentage of croplands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total cropland area within NUTS3 regions (NUTS2 for Germany). The management pressure on croplands was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc). This dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7067f539-e0e6-4be5-9f97-471362b8466c.png	EPSG:3035	2019-06-04	None	Land cover|Land use|Statistical units	land cover|land use|pressure|state	vector	SHP	None	1:1000000	None	The dataset shows the percentage of cropland highly pressured in 2010 respect to the total of cropland area by NUTS as state indicator (at NUTS3, NUTS2 for Germany). The state of pressure were calculated by administrative unit. Briefly, the data derives from the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (*). This was used to localise the pressures on agroecosystems coming from management practices at the European level. The nitrogen application data was selected as proxy for measuring the intensification pressure on agro-ecosystem from the Farm Structure Survey (FSS). Those were disaggregated using the Land Use/Cover area Frame Statistical Survey (LUCAS) observation on crop types (Jacques and Gallego, 2005). Multinominal regression, including factors as topographic conditions, soil and climate conditions, population density and accessibility, was used to predict the intensity classes (Temme and Verburg, 2011). The dataset developed identifies the percentage of cropland areas highly pressured (classes 4 and 5) in 2010, respect to the total of cropland area by NUTS. * https://www.eea.europa.eu/publications/mapping-europes-ecosystems * https://projects.eionet.europa.eu/eea-ecosystem-assessments/library/working-documents-and-maps-ecosystem-pressures/deliverables/final_reports_ecosystempressures/final_reports_ecosystempressures/3.finalreport_task18413_ecosystempressure_agroecosystems Jacques P., F.J. Gallego 2005 The LUCAS project—the new methodology in the 2005–2006 surveys Workshop on Integrating Agricultura and Environment: CAP Driven Land Use Scenarios, Belgirate (2005) Temme, A. & Verburg, P.H. (2011). Mapping and modelling of changes in agricultural intensity at the European extent. Agriculure, Ecosystems & Environment 140, 46-56. Kleijn et al., 2009	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7067f539-e0e6-4be5-9f97-471362b8466c	None	None	FALSE	Austria|Belgium|Bulgaria|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Netherlands|Poland|Portugal|Romania|Slovakia|Slovenia|Spain|Sweden|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	http://land.discomap.eea.europa.eu/arcgis/rest/services/Agriculture/Cropland_intensification_2010/MapServer	eea_v_3035_1_mio_high-intensification-cropland_2010	None	None
9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8	None	High Resolution Layer: Ploughing Indicator 2015 (raster 20m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_PloughingIndicator_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing. The production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a7fada2-df50-448b-8ccf-c2bbcd9b6ad8	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_PloughingIndicator_2015/MapServer	copernicus_r_3035_20_m_plough_2010-2016	None	None
91762e0b-2e33-4c03-a317-81123b066a15	None	High Resolution Layer: Forest Additional Support Layer 2012 (raster 20m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2012/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/91762e0b-2e33-4c03-a317-81123b066a15.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	The Forest Additional Support Layer (FADSL) provides information on trees under agricultural or urban use by utilization of CLC 2012 and HRL Imperviousness 2012. Considering different options for separating real “forest” areas as far as possible compliant with the FAO definition from non-forest tree-covered areas (i.e. trees predominantly used for agricultural practices, trees in an urban context) for the 20m Forest Type product, the following procedure is applied: In order to avoid misinterpretation of the 20m Forest Type product by potential users, specifically with respect to the contents / accuracies / information origins of the agreed additional information on "trees predominantly used for agricultural practices - broadleaved" (as derived from CLC classes 2.2.2 and 2.2.3) and "trees in urban context – broadleaved and coniferous" (as derived from a filtering approach applied to HR Imperviousness and from CLC class 1.4.1 Green Urban Areas), this additional information is made available through a labeling approach. In technical terms, this requires that in addition to the 20m Forest Type product’s basic raster data set with the nomenclature of [0: all non-tree and non-forest areas, 1: broadleaved forest, 2: coniferous forest] an additional support raster data set is provided with information on the occurrence of "trees predominantly used for agricultural practices - broadleaved" and "trees in urban context – broadleaved and coniferous" – both only within the confines of broadleaved and coniferous tree areas of the basic product (not beyond!) – in the sense of additional, and not contradicting/conflicting information (as would be the case e.g. if CLC orchards would be identified in non-tree areas). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: not assessed. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91762e0b-2e33-4c03-a317-81123b066a15	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2012/MapServer	copernicus_r_3035_20_m_fadsl_2011-2013	None	None
35a036bb-c027-401c-8625-2ecf722e8461	None	High Resolution Layer: Grassland 2015 (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Grassland_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing. The production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/35a036bb-c027-401c-8625-2ecf722e8461.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/35a036bb-c027-401c-8625-2ecf722e8461	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Grassland_2015/MapServer	copernicus_r_3035_20_m_gra_2014-2016	None	None
b77b7ce3-04f8-44ae-aaae-b5e5af0f9682	None	High Resolution Layer: Grassland 2015 (raster 100m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_Grassland_2015/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing. The production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b77b7ce3-04f8-44ae-aaae-b5e5af0f9682	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_Grassland_2015/MapServer	copernicus_r_3035_100_m_gra_2014-2016	None	None
28b669b7-6b5c-4a51-a850-86646626b43d	None	High Resolution Layer: Forest Additional Support Layer 2015 (raster 20m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The high resolution forest product consists of three types of (status) products and additional change products. The status products are available for the 2012 and 2015 reference years: 1. Tree cover density providing level of tree cover density in a range from 0-100%; 2. Dominant leaf type providing information on the dominant leaf type: broadleaved or coniferous; 3. A Forest type product. The forest type product allows to get as close as possible to the FAO forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and high resolution imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed. The high resolution forest change products comprise a simple tree cover density change product for 2012-2015 (% increase or decrease of real tree cover density changes). The production of the high resolution forest layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b669b7-6b5c-4a51-a850-86646626b43d.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	The Forest Additional Support Layer (FADSL) provides information on trees under agricultural or urban use by utilization of CLC 2012 and HRL Imperviousness 2015. Considering different options for separating real “forest” areas as far as possible compliant with the FAO definition from non-forest tree-covered areas (i.e. trees predominantly used for agricultural practices, trees in an urban context) for the 20m Forest Type product, the following procedure is applied: In order to avoid misinterpretation of the 20m Forest Type product by potential users, specifically with respect to the contents / accuracies / information origins of the agreed additional information on "trees predominantly used for agricultural practices - broadleaved" (as derived from CLC classes 2.2.2 and 2.2.3) and "trees in urban context – broadleaved and coniferous" (as derived from a filtering approach applied to HR Imperviousness and from CLC class 1.4.1 Green Urban Areas), this additional information is made available through a labeling approach. In technical terms, this requires that in addition to the 20m Forest Type product’s basic raster data set with the nomenclature of [0: all non-tree and non-forest areas, 1: broadleaved forest, 2: coniferous forest] an additional support raster data set is provided with information on the occurrence of "trees predominantly used for agricultural practices - broadleaved" and "trees in urban context – broadleaved and coniferous" – both only within the confines of broadleaved and coniferous tree areas of the basic product (not beyond!) – in the sense of additional, and not contradicting/conflicting information (as would be the case e.g. if CLC orchards would be identified in non-tree areas). Geometric accuracy (positioning scale): Less than one pixel according to ortho-rectified satellite image base delivered by ESA. Thematic accuracy: not assessed. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b669b7-6b5c-4a51-a850-86646626b43d	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ForestAdditionalSupportLayer_2015/MapServer	copernicus_r_3035_20_m_fadsl_2014-2016	None	None
845c7684-703b-475a-b7f3-d7bd719b15f8	None	High Resolution Layer: Grassland Vegetation Probability Index 2015 (raster 20m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_GrasslandProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The main high resolution grassland product is the Grassland layer, a grassland/non-grassland mask for the EEA39 area. This grassy and non-woody vegetation baseline product includes all kinds of grasslands: managed grassland, semi-natural grassland and natural grassy vegetation. It is a binary status layer mapping grassland and all non-grassland areas in 20m and (aggregated) 100m pixel size. Two additional (expert) products complete the high resolution grassland product: the Ploughing Indicator (PLOUGH) and the Grassland Vegetation Probability Index (GRAVPI). While the PLOUGH concentrates on historic land cover features with the aim to indicate ploughing activities in preceding years, the GRAVPI provides a measure of classification reliability. GRAVPI is a 20m pixel size product, mapping on a range of 1-100 the class probability. PLOUGH is a 20m pixel size additional product, mapping from 1-6 the number of years since the last indication of ploughing. The production of the high resolution grassland layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/845c7684-703b-475a-b7f3-d7bd719b15f8.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Thematic accuracy: The thematic accuracy assessment will be made on the primary layer, the grassland mask. The target will be set at 85 % to be achieved within each biogeographic region. A quantitative approach will be used based on a set of stratified random point samples compared to external datasets (e.g. GoogleEarth, national orthophotos or national grassland datasets). Achieved overall accuracy: 96.66%. Geometric accuracy (positioning accuracy): Less than half a pixel. According to ortho-rectified satellite image base delivered by ESA.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/845c7684-703b-475a-b7f3-d7bd719b15f8	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_GrasslandProbabilityIndex_2015/MapServer	copernicus_r_3035_20_m_gravpi_2014-2016	None	None
84765ed4-ae06-4280-b2ae-96d3e10ce532	None	High Resolution Layer: Water and Wetness Probability Index 2015 (raster 100m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. The production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/84765ed4-ae06-4280-b2ae-96d3e10ce532.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84765ed4-ae06-4280-b2ae-96d3e10ce532	2009	2015	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer	copernicus_r_3035_100_m_wwpi_2009-2015	None	None
8108e203-59db-4672-b9e0-c1863fd6523b	None	High Resolution Layer: Water and Wetness 2015 (raster 100m), Mar. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetness_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. The production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8108e203-59db-4672-b9e0-c1863fd6523b.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8108e203-59db-4672-b9e0-c1863fd6523b	2009	2015	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetness_2015/MapServer	copernicus_r_3035_100_m_waw_2009-2015	None	None
0af91f4e-9e85-4df7-a1f8-8b96fec27acf	None	High Resolution Layer: Water and Wetness Probability Index 2015 (raster 20m), May 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer/WMSServer?service=WMS&request=GetCapabilities&version=1.3.0	None	None	The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. Two products are available: o The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. o The additional expert product: Water & Wetness Probability Index (WWPI) The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies. The production of the high resolution water and wetness layers was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0af91f4e-9e85-4df7-a1f8-8b96fec27acf.png	EPSG:3035	2019-06-04	None	None	forest management|land cover|land use|landscape alteration	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of on-going quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority will be given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af91f4e-9e85-4df7-a1f8-8b96fec27acf	2009	2015	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_WaterWetnessProbabilityIndex_2015/MapServer	copernicus_r_3035_20_m_wwpi_2009-2015	None	None
454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b	None	High Resolution Layer: Imperviousness Classified Change 2006-2012 CLC Synchronous (raster 20m), Apr. 2018	None	None	https://image.discomap.eea.europa.eu/arcgis/services/GioLandPublic/HRL_ImperviousnessClassifiedChange_06_12/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/454f6cd4-d7b2-4dfb-be9f-8ba1d667d69b	2006	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	https://image.discomap.eea.europa.eu/arcgis/rest/services/GioLandPublic/HRL_ImperviousnessClassifiedChange_06_12/MapServer	copernicus_r_3035_20_m_imcc_2006-2012	None	None
50dd4172-ba90-4d6d-90ef-88f5d1d84795	CDDA	Nationally designated areas (CDDA) polygons for public access - version 17, Jun. 2019	None	None	None	None	None	The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information. The inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. The CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA). The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Two versions of the dataset are provided. The full dataset ("CDDA_2019_v01_public") includes the entire geographical coverage including nationally designated areas in overseas entities. The "CDDA_2019_v01_public_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. Both versions are provided in GDB and GPKG formats.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50dd4172-ba90-4d6d-90ef-88f5d1d84795.png	EPSG:3035	2019-06-19	None	Protected sites	natural area|natural areas protection|protected area	vector	Geopackage|PGeo	None	1:100000	None	Production process will be explained in an update of the document CDDA_v16_2018.pdf available in the previous version of the dataset. We are waiting for ETC/BD for this task but as we are able to publish much earlier than before because of the new reporting mechanism, the ETC/BD has not planned for the time to update the report right now. In the meantime, and for reference, the document CDDA_v16_2018.pdf corresponding to the earlier version is provided together with this dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50dd4172-ba90-4d6d-90ef-88f5d1d84795	None	None	FALSE	Albania|Bosnia and Herzegovina|EFTA4|EU28|Kosovo|Montenegro|North Macedonia|Serbia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA), Estonian Environmental Register 01.01.2019, ©Finnish Environment Institute, 2018.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Biodiversity	None	eea_v_3035_100_k_cdda-poly_p_2018-2019_v17_r00	None	None
81754d01-8bc3-49aa-a52c-86b3d212f94e	forest_habitats_species_richness_2012	Richness of forest-related species and habitats indicator 2012 dataset, Nov. 2018	None	None	None	None	None	This dataset refers to the Richness index of Species and Habitats of Conservation Concern indicator. This indicator has been developed to be used as a sub-indicator for contributing to the identification of the High Nature Value (HNV) Forest Areas as it will be integrated with other sub-indicators of horizontal structure, management and naturalness to generate the final composite indicator. It is composed itself of three sub-indicators: “Forest Non-bird species”, “Forest bird species” and “Forest habitats”. All the three sub-indicators build on distribution data from the reporting of habitat and species conservation status under Article 17 of the Habitats Directive and Article 12 of the Birds directive which describe their distribution at 10km grid resolution. The forest species and the forest habitats proposed to be used for the HNV forest area identification were selected based on expert judgement (ETC/BD) and raster files reporting the count of forest species and habitats were created. At this stage, no weight is applied based on Habitat and Species prioritization, conservation status or endemism. The sub-indicators were then normalized for each European forest type and successively combined not assigning any specific weight to a particular sub-indicator. The values for this indicator, present in this dataset, ranges between 0 and 1. The values close to 1 mean high presence of habitats and species related to forest, whereas the lower richness are closer to 0. It covers the forested areas of the EU27 Member States except for Cyprus (data from Croatia will be reported starting from the next update regarding the period 2013-2018).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/editor-catalogue/srv/api/records/86356e26-cc03-4689-9795-d1e8eccc22b7/attachments/eea_r_3035_1_km_forest-richness-hab-sps_2012.png	EPSG:3035	2019-07-17	None	Habitats and biotopes|Species distribution	conservation|environmental indicator|forest conservation|forest policy|indigenous forest|primary forest	grid	GTiff	None	1km	None	The dataset shows a dimensionless indicator (values between 0 and 1) to assess the biodiversity values of forested areas in Europe. It has been developed starting from 10km resolution data and the final output is at 1km resolution, GeoTiff format. The values close to 1 mean high presence of habitats and species related to forest, whereas the lower richness are closer to 0. The input data derives from the information about habitat and species conservation status that Member States report under the Art.17 and Art.12 reporting obligations. The information about presence-absence of each species has been used to count the total number of forest bird species, forest non-bird species and forest habitats per 10km pixel and produce three related sub-indicators. A mask Forest-NonForest at 1km resolution has been applied to the input sub-indicators to consider only forested area. Each sub-indicator has then been normalized per forest type: Boreal, Hemiboreal, Alpine Coniferous, Acidophylous oakwood, Mesophytic deciduous, Beech, Mountainous beech, Thermophilous beech, Broadleaved evergreen and Coniferous Mediterranean. The composite indicator of forest biodiversity was then derived summing per each pixel the values of the single input sub-indicators. The final Forest Biodiversity indicator was then rescaled to values between 0 and 1.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81754d01-8bc3-49aa-a52c-86b3d212f94e	None	None	FALSE	Bulgaria|Czechia|EU15|Estonia|Hungary|Latvia|Lithuania|Malta|Poland|Romania|Slovakia|Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	None	eea_r_3035_1_km_forest-richness-hab-sps_p_2007-2012_v01_r00	None	None
1f598e5a-66af-4981-970d-28b1f0c29648	forest_assemblage_species_2006	Natural assemblage tree species indicator 2006 dataset, Nov. 2017	None	None	None	None	None	The natural assemblage species indicator dataset is a forest dataset that measures the congruency between the potential and current tree species distribution. The natural assemblage indicator is considered one of the key indicator for the identification of High Nature Value forest area in Europe. The reference year for this data set is 2006 and the spatial coverage is including the 28 EU Member States, Liechtenstein, Norway, Switzerland, and Turkey. The methodological approach is based on two data sources: (1) EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability –EEA- as potential distribution; (2) Relative probability of presence of forest tree species (RPP) of European Atlas of Forest Tree Species –JRC- as current distribution The dataset values express, in the fuzzy values between 0 and 1, the percentage of tree species vegetation agreed with potentially dominant tree species by pixels. This measure is independent of the current forest coverage. The values close to 1 mean high percentage of native tree species (natural) whereas values close to 0 are an approximation of a low level of naturalness, being a high percentage of non-native species.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f598e5a-66af-4981-970d-28b1f0c29648.png	EPSG:3035	2019-07-17	None	Habitats and biotopes|Species distribution	conservation|environmental indicator|forest conservation|forest policy|indigenous forest|primary forest	grid	GTiff	None	1km	None	The natural assemblage species indicator is a proxy for measuring the congruency between the potential and current tree species distribution. The data sources are: (1) EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability –EEA- as potential distribution. (2) Relative probability of presence of forest tree species (RPP) of European Atlas of Forest Tree Species –JRC- as current distribution. The EUNIS dataset provides information about forest habitats and EU tree atlas about tree species indicator. In order to get and harmonized unit of mapping the tree species datasets have been grouping according to the dominant species by each EUNIS habitat types by a cross relation table. The natural assemblage species indicator requires information about the habitat suitability distribution. For this purpose, the EUNIS habitats distribution maps have to be converted into Boolean data showing value = 0 where the area is not suitable and value =1 where the area is suitable for a particular habitat. The EUNIS fuzzy values where converted to Boolean maps using as thresholds defined by the percentile 25 of the statistical distribution of the relevés points linking to the EUNIS habitats suitability raster. In order to assess the congruency of current vegetation with the potential distribution of forest types we developed the following index Fractional congruency of forest species composition=∑(C∙P)i Where i are the EUNIS forest habitats, C represents the current fractional area cover of dominant assemblage tree species according to the JRC maps and expressed in the fuzzy values between 0 and 1 and P is the presence of the i-th EUNIS habitats in the potential vegetation expressed with a Boolean value of 0 (absence) or 1 (presence). As is show in the next figure, the Natural assemblage species indicator is an overlapping indicator of the individual Natural assemblage species index layers (one per EUNIS habitats). Due to, according to the potential distribution maps, one cell could be potentially suitable for several EUNIS habitats types, in the overlapping cells, the output cell is the maximum value of input cells The dataset values express, in the fuzzy values between 0 and 1, the percentage of tree species vegetation agreed with potentially dominant tree species by pixels. This measure is independent of the current forest coverage. The values close to 1 mean high percentage of native tree species (natural) whereas values close to 0 are an approximation of a low level of naturalness, being a high percentage of non-native species.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f598e5a-66af-4981-970d-28b1f0c29648	None	None	FALSE	EU28|Liechtenstein|Norway|Switzerland|Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	None	eea_r_3035_1_km_forest-assemblage-sps_p_2006_v01_r00	None	None
2588fc43-d855-439b-a6e9-941a59a0e50e	forest_area_2012	Forest Area 2012 based on Copernicus HRL Forest products - version 1, Oct. 2018	None	None	None	None	None	This data set shows the European forest area in 2012 at 100m spatial resolution, covering EEA39 countries. It is based on Copernicus HRL forest products at 20m spatial resolution and complies with the FAO forest definition (i.e. minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). After the selection of those pixels identified as forest by the HRL forest products and also compliant with FAO criteria, the forest area dataset at 100m was computed as a Boolean product (i.e. forest / non-forest). The value 1 (forest area) correspond to the pixels where forest is the major coverage; otherwise the pixel value is 0 (non-forest area).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2588fc43-d855-439b-a6e9-941a59a0e50e.png	EPSG:3035	2019-07-17	None	Land cover|Land use	afforestation|forestry|forestry unit|indicator	grid	GTiff	None	100m	None	This dataset is the European forest area indicator that shows the forest area in 100m spatial resolution, according to FAO forest definition (minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). The forest area indicator is based on the HRL forest product EU Copernicus Programme. It is the combination of the Tree Cover Density (TCD), the Forest Type product (FTY) and the Forest Additional Support Layer (FDASL) datasets at 20m -2012-. By the combination of FTY and FADSL we developed a mask that allows to select from TCD all the tree areas fully compliant to FAO definition. The forest area indicator is a Boolean dataset (forest/non-forest product). The pixel value is 1, forest area, where forest is the major coverage in the pixel; otherwise the pixel value is 0, non-forest.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2588fc43-d855-439b-a6e9-941a59a0e50e	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	None	eea_r_3035_100_m_forest-area-2012_p_2012_v01_r00	None	None
59acf70f-f5dc-4d4b-8c62-cfece878e795	EIONET_Ground_Water_Body|EIONET_River_Basin_Districts|EIONET_Surface_Water_Body|EIONET_monitoring_sites|EIONET_sub_units	WISE EIONET Spatial Datasets - INTERNAL VERSION - version 1.3, Apr. 2019	None	None	None	None	None	The dataset contains information on European groundwater bodies, monitoring sites, river basin districts, river basin districts sub-units and surface bodies reported to the European Environment Agency between 2001-11-29 and 2019-02-12. This data set is available only for internal use of the European Environment Agency and may contain objects that are deprecated (i.e. that have been retired or superseded) and objects were marked confidential by data providers. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Environment Agency under the State of Environment reporting obligations. For the EU28 countries and Norway, the EIONET spatial data was consolidated with the spatial data reported under the Water Framework Directive reporting obligations. For these countries, the reference spatial data set is the "WISE WFD Reference Spatial Datasets reported under Water Framework Directive". Relevant concepts: Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. River basin district: The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/59acf70f-f5dc-4d4b-8c62-cfece878e795.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water	aquifer|groundwater|monitoring station|surface water|water (geographic)|water body|water resources management	vector	SHP|Spatialite	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Some additional fields are present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. cYear: Integer field containing the value 2013 for the objects that have never been reported in WISE-5 country:Two-letter ISO code of the country (ISO 3166 alpha-2), except for Greece and the United Kingdom, for which the abbreviations EL and UK are used. lat: Latitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) lon: Longitude, in decimal degrees, of an arbitrary point located within the geometry of the object (if available) statusCode: Status code of the thematic identifier in the WISE register (refer to Status for further information). statusDate: Date of reference for the status code (typically the date when the data was extracted for publication). remarks:Additional information about the status code of the superseding object, if any. qcCheck:Additional information about checks performed in the data. 2) Data sources Information reported until 2013 was compiled by the European Topic Centre on Inland, Coastal and Marine waters. The legacy records can be selected using the criteria cYear = 2013. Additional information was reported under the "WISE - Spatial Data (WISE-5)" data flow. See http://rod.eionet.europa.eu/obligations/716 for further information on the reporting. For the EU28 countries and Norway, the EIONET data was consolidated with the full national datasets reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. 3) Data processing The EIONET data were updated using data reported in WFD2016, whenever the spatial objects could be matched. For EIONET objects, some information may be missing, if the objects have not been reported since 2013. Objects that no longer exist or were replaced have wiseEvolutionType = 'deletion'. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model is available for the legacy data reported before 2013. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WISE-5 model was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers. 5) WISE registers For river basin districts and sub-units, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/SpatialUnit For surface water bodies and groundwater bodies, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/WaterBody For monitoring sites, the register of WISE thematic identifiers is kept in http://dd.eionet.europa.eu/vocabulary/wise/MonitoringSite	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59acf70f-f5dc-4d4b-8c62-cfece878e795	None	None	FALSE	EEA39	The dataset contains parts which are restricted by the data providers and not to be made public.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4326_250_k_wise-eionet_i_2001-2019_v01_r03	None	None
afe358ed-2c31-4176-8a83-13a530c57091	forest_area_2015	Forest Area 2015 based on Copernicus HRL Forest products - version 1, Oct. 2018	None	None	None	None	None	This data set shows the European forest area in 2015 at 100m spatial resolution, covering EEA39 countries. It is based on Copernicus HRL forest products at 20m spatial resolution and complies with the FAO forest definition (i.e. minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). After the selection of those pixels identified as forest by the HRL forest products and also compliant with FAO criteria, the forest area dataset at 100m was computed as a Boolean product (i.e. forest / non-forest). The value 1 (forest area) correspond to the pixels where forest is the major coverage; otherwise the pixel value is 0 (non-forest area).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/afe358ed-2c31-4176-8a83-13a530c57091.png	EPSG:3035	2019-06-19	None	Land cover|Land use	afforestation|forestry|forestry unit|indicator	grid	GTiff	None	100m	None	This dataset is the European forest area indicator that shows the forest area in 100m spatial resolution, according to FAO forest definition (minimum mapping unit of 0.5 ha, minimum coverage of 10% and excluding land that is predominantly under agricultural or urban land use). The forest area indicator is based on the HRL forest product EU Copernicus Programme. It is the combination of the Tree Cover Density (TCD), the Forest Type product (FTY) and the Forest Additional Support Layer (FDASL) datasets at 20m -2015-. By the combination of FTY and FADSL we developed a mask that allows to select from TCD all the tree areas fully compliant to FAO definition. The forest area indicator is a Boolean dataset (forest/non-forest product). The pixel value is 1, forest, where forest is the major coverage in the pixel; otherwise the pixel value is 0, non-forest.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/afe358ed-2c31-4176-8a83-13a530c57091	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Forest	None	eea_r_3035_100_m_forest-area-2015_p_2015_v01_r00	None	None
463f357e-6419-461b-9ed1-c38948a75f09	Imperviousness_Change_20m_2012-2015	High Resolution Layer: Imperviousness Degree Change 2012-2015 (raster 20m), Apr. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/463f357e-6419-461b-9ed1-c38948a75f09.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/463f357e-6419-461b-9ed1-c38948a75f09	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	None	copernicus_r_3035_20_m_imdc_2011-2016	None	None
9538a26a-d55d-4ba0-b77c-92eeb61d3061	Riparian_Zones_Green_Linear_Element	Riparian Zones Green Linear Elements (vector), Aug. 2015	None	None	None	None	None	Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services. The Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive. Green Linear Elements (GLE) are ecologically significant, structural landscape elements which act as important dispersion vectors of biodiversity. GLEs comprise hedgerows and lines of trees and offer a wide range of ecosystem services: they are linked to both landscape richness and fragmentation of habitats, with a direct potential for restoration, and contribute also to hazard protection. Green linear elements form part of the Green Infrastructure and are specifically addressed in the EU Biodiversity Strategy 2020. The GLE product provides reliable and detailed geospatial information on the occurrence and spatial distribution of: Small linear vegetation features such as hedgerows, scrub and tree rows with a minimum length of 100m and a width of up to 10m; Isolated patches of trees and scrub with a size between 500 m² and 0.5 ha. Green linear elements including trees and hedgerows with 100m minimum length and 500 m² Minimum Mapping Unit (MMU). The production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9538a26a-d55d-4ba0-b77c-92eeb61d3061.png	EPSG:3035	2019-06-04	None	Land cover	hedge|land cover|land use|landscape alteration|riparian zone|tree	vector	SHP	None	10m	None	Semi-automatic classification and visual interpretation of Green Linear Elements (Nomenclature: 1: trees; 2: hedgerows and scrub) on 1.5m SPOT-6 and 2.5m SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (Optical VHR2 coverage over EU 2011-2013 and Riparian zones) with subsequently automated GIS-based generalisation. Geometric differentiation into linear structures as well as patches by considering a compactness factor (1. Linear structures of hedgerows/scrub and tree rows; 2. Patches of tree and hedgerows/scrub). Minimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9538a26a-d55d-4ba0-b77c-92eeb61d3061	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	None	copernicus_v_3035_10_m_gle_2011-2013	None	None
e61d0641-ef07-4224-a6ed-6d2d42a4ef23	Riparian_Zones	Riparian Zones Delineation (raster), Aug. 2015	None	None	None	None	None	Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services. The Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive. The delineation of Riparian Zones is based on a complex spatial modelling approach, making use of the Riparian Zones’ LC/LU classification, large-scale earth observation data and a range of additional geo-data sources, as well as derived spatially explicit indicators. Inputs are regionally parameterised and weighted according to relative importance in a fuzzy modelling approach. The zones provide a majority of riparian functions with a focus on ecosystem services. The production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2738bb1f-6b50-47e9-aba9-50157cb7228f.png	EPSG:3035	2019-06-04	None	Land cover	bank (land)|filtration|freshwater ecosystem|land use|landscape alteration|riparian zone	grid	GTiff	None	50m	None	The calculation is based on the stratification of different hydrological and geomorphological parameters. These parameters are derived from the input datasets and are weighted differently dependent on their significance and quality. The resulting membership degree of each input parameter is finally combined into a single membership degree expressing the likelihood of an area to be part of a potential riparian zone. Qualitative assessment: due to the absence of European-wide harmonized reference data on the location and characteristics of riparian zones in sufficient thematic detail, a qualitative expert assessment approach has been chosen for the riparian zones layer, making use of the unique expertise of the freelance expert consultants who are available to the project team and who are recognized among the most renowned European experts in this domain, being also the authors of the most relevant scientific publications in the recent years. The experts conducted an in-depth review of the riparian zones delineation modelling approach and the associated relevant algorithms and membership functions, which were checked and approved by them. The experts provided also support and advise on the correct model parameterization and final modelling of the riparian zones products, such that the final results are considered properly quality-assessed and validated by this scientific expert-assessment approach.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e61d0641-ef07-4224-a6ed-6d2d42a4ef23	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	None	copernicus_r_3035_50_m_rzd_2011-2013	None	None
56b5c27b-ffaa-45c7-9b39-085dcbe725e4	Imperviousness_Change_100m_2012-2015	High Resolution Layer: Imperviousness Degree Change 2012-2015 (raster 100m), Apr. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56b5c27b-ffaa-45c7-9b39-085dcbe725e4.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56b5c27b-ffaa-45c7-9b39-085dcbe725e4	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	None	copernicus_r_3035_100_m_imdc_2011-2016	None	None
4023528f-430d-402b-be16-91b6a6487be6	Imperviousness_Density_20m_2012	High Resolution Layer: Imperviousness Degree 2012 (raster 20m), Apr. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4023528f-430d-402b-be16-91b6a6487be6.png	EPSG:3035	2019-06-04	None	Land cover	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4023528f-430d-402b-be16-91b6a6487be6	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			Land_cover	None	copernicus_r_3035_20_m_imd_2011-2013	None	None
4f773546-a667-487e-b3be-fed4f257352d	NUTS2013	GISCO - Nomenclature of Territorial Units for Statistics 2013 (NUTS), Dec. 2015	None	None	None	None	None	This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2013. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of three different levels (NUTS 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 8.x (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2013. This metadata only refers to the full dataset at 100k and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2013.xml) is also available for download together with the dataset. The public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts13.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4f773546-a667-487e-b3be-fed4f257352d.png	None	2019-06-04	None	Statistical units	statistical information system	vector	FGeo	None	1:100000	None	This dataset is based on: EuroBoundaryMap (EBM) v8.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2008 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat), General Register Office for Scotland (GRO) (scale 1:100.000), Digital Chart of the World from ESRI for Kaliningrad, ArcWorld from ESRI for the Aral Sea, the Caspian Sea, some other borders. The different scale levels were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level (100k, 1M, 3M, 10M, 20M, 60M). In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2013 of European Commission, Eurostat/GISCO, Countries 2013, European Commission - Eurostat/GISCO, Coastlines 2013, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2010, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS geometry supplied in EBM 8 have been rectified in Scotland for UKM63, UKM61 and UKM31.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4f773546-a667-487e-b3be-fed4f257352d	None	None	FALSE	EFTA4|EU28|Montenegro|North Macedonia|Turkey	The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document "GISCO-LicenseconditionsforEGdatasets.pdf" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			Administrative_boundaries	None	eurostat_v_4258_100_k_gisco-nuts_2013	None	None
ec36e79b-615a-4484-a3a5-2714dc3951c5	EuroRegionalMap_2019	EuroRegionalMap 2019 (ERM 2019), Jan. 2019	None	None	None	None	None	EuroRegionalMap (ERM) is a Pan-European topographic vector dataset at scale 1:250000, that is, seamless and harmonized across boundaries. It is produced in cooperation by the National Mapping Agencies of the participating countries (NMCAs) using official national databases. Thematic layers: Administrative Boundaries (BND), Hydrography (HYDRO), Miscellaneous (MISC), Named Location (NAME), Settlement (POP), Transportation (TRANS), Vegetation and Soils (VEG) as well as Points of Interest. This metadata refers to the version 2019 of ERM, with the general reference for the supply being December 2018. The dataset is provided both in GDB and SHP formats. Main changes with respect to versions ERM v11.0 and v11.1 are: - The administrative boundaries have been updated using EBM 2019 as data source. Some countries (Great Britain, Moldova and Romania) have slightly adapted them so to fit with the topographical features of ERM. - Update of transportation, settlement, vegetation themes. - Data from Ukraine as well as French Guiana (GF), Guadeloupe (GP), Martinique (MQ), Reunion (RE), Mayotte (YT), Saint Barthélemy (BL) and Saint Martin (MF) as overseas departments/collectivities of France belonging to the European Union are included in ERM 2019. For more information about the data product specifications please refer to the documents "ERM_2019_DataSpecification_EuroStat.pdf", "ERM_2019_TechnicalGuide.pdf" and "ERM_Eurostat_Lineage_ERM_2019.pdf" provided with the dataset under the link "Documents". IMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the "Resource Constraints" elements of this metadata file and on the document "LicenseConditions.pdf" provided with this dataset under the link "Documents". This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the original metadata file created by EuroGeographics is provided together with the dataset under "Documents" link ("ERM_Eurostat_Metadata_ERM_2019.xml" within the "Metadata").	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ec36e79b-615a-4484-a3a5-2714dc3951c5.png	EPSG:4258	2019-06-04	None	Administrative units|Energy resources|Geographical names|Hydrography|Land cover|Land use|Mineral resources|Population distribution — demography|Production and industrial facilities|Protected sites|Soil|Transport networks|Utility and governmental services	administrative boundary|airport|artificial lake|built-up area|car park|coast|dam|data base|drainage|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|human settlement|hydrography|in situ|international watercourse|lake|maritime transport|national boundary|railway|railway network|river|road|route planning|soil|surface water|tidal water|transportation|vegetation|water (geographic)|waterfall|waterway	vector	FGeo|SHP	None	1:250000	None	For the lineage description of the full product, please see "ERM_Eurostat_Lineage_ERM_2019.pdf" provided with the dataset under the folder "Metadata" under "Documents" link. For detailed information on the national contribution, please consult the documents "XX_Lineage_ERM_2019.pdf" (where XX is the country acronym), under the subfolder "Countries" of the folder "Metadata".	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec36e79b-615a-4484-a3a5-2714dc3951c5	None	None	FALSE	Andorra|EFTA4|EU28|Faeroe Islands|Georgia|Isle of Man|Kosovo|Liechtenstein|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican	The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis. The license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.	FALSE	None	FALSE	None	None	None	None	None	None	None			Administrative_boundaries	None	eurogeographics_v_4258_250_k_erm-europe_i_2018_v12_r00	None	None
5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d	CLC_accounting_2018	Corine Land Cover 2018 (raster 100m) version 20 accounting layer, Jun. 2019	None	None	None	None	None	The present 100m raster dataset is the 2018 CLC status layer modified for the purpose of consistent statistical analysis in the land cover change accounting system at EEA. CORINE Land Cover (CLC) data are produced from 1986 for European (EEA member or cooperating) countries. Altogether five mapping inventories were implemented in this period, producing five status layers (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018) and four CLC-Change (CLCC) layers for the corresponding periods (1990-2000, 2000-2006, 2006-2012, 2012-2018). Pan-European CLC and CLCC data are available as vector and raster products. Due to the technical characteristics of CLC and CLCC data, the evolution in CLC update methodology and in quality of input data, time-series statistics derived directly from historical CLC data includes several inconsistencies. In order to create a statistically solid basis for CLC-based time series analysis, a harmonization methodology was elaborated.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d.png	EPSG:3035	2019-07-23	None	Land cover|Land use	accounting|land cover|land use	grid	GTiff	None	100m	None	The Corine Land Cover (CLC) is a European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on (visual or semi-automated) interpretation of high-resolution multispectral satellite imagery by the national teams of the participating countries - the EEA member or cooperating countries. Besides the original and still dominating Computer Assisted Photo-Interpretation (CAPI) methodology, the number of countries applying more advanced (bottom-up) solutions is increasing. National teams provided vector CLC datasets within the CLC1990, CLC2000 CLC2006, CLC2012 and CLC2018 projects. All features in the vector databases are classified into the standardized hierarchical 3-level CLC nomenclature, which includes 44 classes optimized for pan-European mapping. CLC status layers are characterized with 25 ha Minimum Mapping Unit (MMU) and 100m Minimum Mapping Width (MMW), while the applied MMU for CLC change layers is 5 ha. CLC change polygons are created directly, based on visual comparison and interpretation of satellite images from the two corresponding dates. Update of CLC status layers is done by adding CLC-Change layer to the previous CLC status layer. The resulting national land cover inventories are integrated into a seamless land cover map of Europe. As a next step, all seamless vector layers are rasterized to the 100m resolution grid with the CELL_CENTER method. The creation of the CLC accounting layers: The solution applied for the harmonization of CLC time-series is based on the idea to combine CLC status and change information in order to create a homogenous quality time series of CLC / CLC-Change layers for land cover accounting purposes fulfilling the relation: CLC-Change = Accounting CLC_ new status – Accounting CLC old status. As a consequence of this criteria, CLC changes for longer period (e.g. 2000-2018) may be derived from the differences of the corresponding CLC accounting status layers accordingly. The CLC accounting methodology is characterized by two major steps: I. Add more detail to the latest CLC status layer (CLC2018) from previous CLCC information and use this modified layer (CLC2018 accounting layer) as a reference, II. Create previous CLC (accounting) status layers by "backdating" of the reference, realized by subtracting CLCC-based information from CLC2018 accounting layer. Based on the above principles, the working steps of the creation of CLC accounting layers are as follows: (1) Include formation information from the CLC-Change layers into the CLC2018 status layer, thereby creating the CLC2018 accounting layer, as follows: (1a) Overwrite CLC2018 with formation code from CLC-Change 2000-2006. Intermediate result: A1_CLC2018, (1b) Overwrite A1_CLC2018 with formation code from CLC-Change 2006-2012. Intermediate result: A2_CLC2018 (1c) Overwrite A2_CLC2018 with formation code from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2018 (the present layer). (2) Create CLC2012 accounting layer by including consumption information into CLC2018ACC_V2018_20.tif from CLC-Change 2012-2018. Result: Final accounting layer for the reference year 2012. (3) Create CLC2006 accounting layer by including consumption information into CLC2012ACC_V2018_20.tif from CLC-Change 2006-2012. Result: Final accounting layer for the reference year 2006. (4) Create CLC2000 accounting layer by including consumption information into CLC2006ACC_V2018_20.tif from CLC-Change 2000-2006. Result: Final accounting layer for the reference year 2000. The harmonization was carried out on the version V2018_20 of Corine Land Cover European database (RELEASE V2018_20; dated 06/2019). Notes The simple solution applied for the combination of CLC and CLCC layers causes some known issues, such as: (1) Modified CLC layers lose statistical comparability with original CLC layers, because of increased geometry - smaller than 25ha MMU features will appear locally where changes appear. (2) “Fake features” may appear in the backdated CLC status layers due to inconsistencies between CLC-Change datasets and due to omitted (not interpreted) changes In the frame of ETC-ULS activity a raster generalization methodology was developed to eliminate fake features and attenuate effects of mixed MMU (https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/5.-copernicus-rfs16_006-sc-56586/7-task-7-clc-adjusted-layers-clc-cube-be-revised). This methodology has not been approved yet, so not applied to actual CLC accounting layers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5a5f43ca-1447-4ed0-b0a6-4bd2e17e4f4d	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			land_use	None	eea_r_3035_100_m_clc-2018-acc_p_2017-2018_v01_r00	None	None
15c1c88f-6a27-4094-8ea9-cb02d638e7a4	UWWTD_Discharge_Points	Urban Waste Water Treatment Directive, Discharge points, Nov. 2017	None	None	None	None	None	UWWTD Discharge Points, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Dataset UWWTD_DischargePoints contains information on individual points of discharge from urban waste water treatment plants or collecting systems, including their coordinates of discharge, link to specific treatment plant, type of receiving area into which the effluent / wastewater is discharged, related waterbody (or river basin), information on the discharge on land and potential reuse of the treated waste water. The discharge points layer is not used in UWWTD maps, therefore it is not included in any existing map service for the time being. The dataset is available only in tabular format through the EEA website.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/15c1c88f-6a27-4094-8ea9-cb02d638e7a4.png	None	2019-06-04	None	Production and industrial facilities	Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water discharge|waste water treatment plant|water quality	vector	SHP	None	100m	None	Discharge points data were reported by Member states in tabular format. Spatial position of individual discharge points was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Discharge points with obviously wrong coordinates were removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/15c1c88f-6a27-4094-8ea9-cb02d638e7a4	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			Water	None	eea_v_4258_100_m_uwwtd-disc-pts_p_2013-2014_v05_r00	None	None
83f8aa7a-0e3f-4f31-ad95-f9651626d74a	NUTS2016	GISCO - Nomenclature of Territorial Units for Statistics 2016 (NUTS), Jan. 2018	None	None	None	None	None	This dataset represents the regions for levels 1, 2 and 3 of the Nomenclature of Territorial Units for Statistics (NUTS) for 2016. The NUTS nomenclature is a hierarchical classification of statistical regions and subdivides the EU economic territory into regions of four different levels (NUTS , 1, 2 and 3, moving respectively from larger to smaller territorial units). NUTS 1 is the most aggregated level. An additional Country level (NUTS 0) is also available for countries where the the nation at statistical level does not coincide with the administrative boundaries. For example Mt Athos in Greece and Mellum and Minsener Ogg in Germany. The NUTS classification has been officially established through Regulation (EC) No 2016/2066 of the European Parliament and of the Council and its amendments. A non-official NUTS-like classification has been defined for the EFTA countries and candidate countries. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. This dataset has been created mainly from the EuroBoundary Map v 12 (Eurogeographics) and geographic information from TurkStat for Turkey. The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. Coverage is the economic territory of the EU, EFTA countries and candidate countries as in 2016. This metadata only refers to the full NUTS2016 dataset (polygons) at 100k (NUTS_RG_100K_2016 in the GISCO database) and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (NUTS_2016.xml) is also available for download together with the dataset. The public datasets, at smaller scales, are available on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts#nuts16.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/83f8aa7a-0e3f-4f31-ad95-f9651626d74a.png	None	2019-06-04	None	Statistical units	statistical information system	vector	Spatialite	None	1:100000	None	This dataset is based on: EuroBoundaryMap (EBM) v12.x from EuroGeographics (scale of 1:100.000), Global Administrative Unit Layer (GAUL) 2015 country data from UN/FAO, data from the National Statistical Institute of Turkey (TurkStat). The different scale levels (1M, 3M, 10M, 20M, 60M, here not provided) were derived by generalisation of the 100K scale. This dataset consists of 2 feature classes (region polygons and boundaries) per scale level. In addition, there is also a label feature class (scale independent). This labelpoint feature class was created with a label inside each NUTS region at the 3 NUTS levels (1 - 3) and countries. Furthermore, two line feature classes were created: one feature class for cartographic joiners to identify where NUTS areas have one or more enclaves and a second line feature class, for cartographic separators to identify where the NUTS limits are in the sea. The arcs of the two latter feature classes are only useful for cartographic purposes and are not meant to identify actual administrative or statistical boundaries stretching into the sea or have any other significance. The boundaries and regions are related to each other through a relationship table. Associated tables contain basic information such as the region's name. The 5 small scale feature classes should be used exclusively for cartographic purposes. This dataset is consistent at all scales with the following datasets: Communes 2016 of European Commission, Eurostat/GISCO, Countries 2016, European Commission - Eurostat/GISCO, Coastlines 2016, European Commission - Eurostat/GISCO. Exclusive Economic Zones 2016, European Commission - Eurostat/GISCO. Different tests were performed to ensure conceptual-, domain- and topological- consistency. Errors in the NUTS/Statistical regions geometry supplied in EBM 12 have been rectified in Scotland for UKN10, UKN11, UKN12, UKN13, UKN14, UKN15, UKN16 and RS110.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83f8aa7a-0e3f-4f31-ad95-f9651626d74a	None	None	FALSE	EFTA4|EU28|Montenegro|North Macedonia|Turkey	The European Commission, its Executive Agencies and European Environmental Agency may use the dataset under the usage restrictions described in the document "GISCO-LicenseconditionsforEGdatasets.pdf" available together with the dataset. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.	FALSE	None	FALSE	None	None	None	None	None	None	None			Administrative_boundaries	None	eurostat_v_4258_100_k_gisco-nuts_2016_rev01	None	None
f0429813-1170-488f-8703-d56d18c0500f	Article_12_birds	Status and trends of bird populations 2008-2012 for internal use, Nov. 2015	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 12 of the Birds Directive (2009/147/EC) covering the period 2008 to 2012. The data covers the EU 27. The dataset contains a support version of tabular data as reported by Member States, targeted for the assessment of bird population status at the European level for the 2008-2012 reporting period. This includes population sizes and trends (short and long term) for breeding and wintering populations, as well as pressures and threats for Special Protection Area trigger species. This version includes species flagged as sensitive by Member States. Information on the data quality of the 2008-2012 reporting round is available at http://bd.eionet.europa.eu/article12.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f0429813-1170-488f-8703-d56d18c0500f.png	EPSG:3035	2019-06-04	None	None	EC directive|European Union|bird|breeding bird|migratory bird|nature conservation policy	vector	SHP|SQLite	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2008 to 2012. The data was supplied under the Article 12 (Birds Directive 2009/147/EC) reporting process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0429813-1170-488f-8703-d56d18c0500f	None	None	FALSE	Species distribution	Data about sensitive species cannot be disseminated.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			Biodiversity	None	eea_v_3035_10_mio_status-trends-birds-internal_2008-2012	None	None
4925d389-a76e-41a5-afcc-59c7f86ad04f	Article_17_species	Conservation status of species 2007-2012 for internal use, Sep. 2014	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. This version includes species flagged as sensitive by Member States. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17. The data are available in the table ART17_SD of the database.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4925d389-a76e-41a5-afcc-59c7f86ad04f.png	EPSG:3035	2019-06-04	None	None	EC directive|European Union|habitat|nature conservation|nature conservation policy|species	vector	SHP	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4925d389-a76e-41a5-afcc-59c7f86ad04f	None	None	FALSE	Habitats and biotopes|Species distribution	Data about sensitive species cannot be disseminated.	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			Biodiversity	None	eea_v_3035_10_mio_cons-status-species-internal_2007-2012	None	None
5d02129a-7ca5-46e7-9e10-96947b400a02	Article_17_habitats	Conservation status of habitat types 2007-2012, Sep. 2014	None	None	None	None	None	Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17. The data are available in the table ART17_HD of the database.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d02129a-7ca5-46e7-9e10-96947b400a02.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	None	vector	FGeo	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d02129a-7ca5-46e7-9e10-96947b400a02	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			Biodiversity	None	eea_v_3035_10_mio_cons-status-hab_2007-2012	None	None
8a10c132-d5c1-456f-a24c-be42d414e878	None	Grassland intensification by CORINE Land Cover changes 2006-2012, Nov. 2016	None	None	http://land.discomap.eea.europa.eu/arcgis/services/Agriculture/Grassland_intensification_LCF_2006_2012/MapServer/WMSServer?request=GetCapabilities&service=WMS	None	None	The dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of grassland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8a10c132-d5c1-456f-a24c-be42d414e878.png	EPSG:3035	2019-06-04	None	Land cover|Land use|Statistical units	grassland|land cover|land use|nutrient|pressure	vector	SHP	None	1:1000000	None	Land cover changes between the 2 most recent Corine Land Cover layers (2006, 2012) were used to identify the internal flows related to more intense use. The internal flows related to intensification are defined based on an expert consultation done in the context of the ETC/ULS. Those represent land cover changes that are linked to increase in resource and machinery use. The next LCF were selected: - LCF522: Diffuse conversion from semi-natural land to agriculture: Conversion from dry semi-natural land (except CLC324, grouped with forests) to pasture and mixed agriculture with pasture. - LCF463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns. An intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a grassland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 (NUTS2 for Germany) level, leading to the percentage of LCF change per specific land cover type. https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency/deliverables/	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8a10c132-d5c1-456f-a24c-be42d414e878	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_mio_grassland-intensification-lcf_2006-2012	None	None
4f3aabfa-2ca6-477e-95a2-3a7852f6f88c	None	EUNIS habitat type F9-1a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4f3aabfa-2ca6-477e-95a2-3a7852f6f88c	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f9-1a_1940-2011_rev01	None	None
6598ccb9-97e9-49ef-b5b5-e2cc68e988a0	None	EUNIS habitat type G3.4a distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6598ccb9-97e9-49ef-b5b5-e2cc68e988a0	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-4a_1940-2011_rev01	None	None
9a353441-c28f-4733-acd0-16dde88f04ae	None	Urban Morphological Zones Changes 1990-2000 (vector) - version 16, Jun. 2013	None	None	None	None	None	Changes between UMZs in 1990 and UMZs in 2000 using CLC version 16. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).	https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-changes-1990-2000-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a353441-c28f-4733-acd0-16dde88f04ae.png	EPSG:3035	2019-06-05	None	Land cover	population|social aspects|urban environment|urban stress	vector	SHP|SQLite	None	1:100000	None	UMZ Changes have been calculated as well, by unioning both UMZ90 and UMZ00 and looking for those polygons existing only in one year (i.e. 1990 or 2000). Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000). Only countries with CLC in both years have changes in UMZ Steps to follow: 1. Create a file geodatabase to keep the geometries 2. Union UMZ 1990 – 2000. Output:UMZ90_00_Full 3. Select ( "FID_UMZ1990" = -1 OR "FID_UMZ2000" = -1) 4. Export the selection. Output:UMZ90_00_FULL_select.shp 5. Selection of the real changes. Erasing a. Select the countries with NO CLC in both years (90-00 and 00-06) from a NUTS0 Layer (as accurate as possible) selected_countries.shp b. Clip UMZ90_00_FULL_select.shp + selected_countries.shp  Output: Changes_90_00.shp c. Manually work to remove the changes belonging to the selected countries. Small feature classes are left in these countries due to not perfect overlay among layers (NUTS0 and CLC) mainly in the coastal areas 6. Add and Calculate the Field “Area_ha” 7. Add a new field name “Change” type = Text with length = 1 to Change_90_00.shp 8. Delete unnecessary fields 9. Select “UMZ90_ID” = 0 and Calculate Value for “Change” = + . This means Urban Sprawl 10.Select “UMZ00_ID” = - 1 and Calculate Value for “Change” = - . This means Reduction of Urban Areas 11.Select “UMZ00_ID” <> - 1 and “UMZ90_ID” <> 0 and Calculate Value for “Change” = 0. This means no changes of Urban Areas The complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a353441-c28f-4733-acd0-16dde88f04ae	None	None	FALSE	Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz-changes_1990-2000_rev16	None	None
02e6f47d-231e-4c52-aecd-d683b53cf745	None	Urban Morphological Zones 2000 (vector) - version 16, Jun. 2013	None	None	None	None	None	An urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.	https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2000-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02e6f47d-231e-4c52-aecd-d683b53cf745.png	EPSG:3035	2019-06-05	None	Land cover	population|social aspects|urban environment|urban stress	vector	SHP|SQLite	None	1:100000	None	An Urban Morphological Zone can be defined as “A set of urban areas laying less than 200m apart”. Those urban areas are defined from land cover classes contributing to the urban tissue and function. The Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones: • Core Classes o 111 – Continuous urban fabric o 112 – Discontinuous urban fabric o 121 – Industrial or commercial units o 141 – Green urban areas • Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes. • Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties. • Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact. • Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes. The complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02e6f47d-231e-4c52-aecd-d683b53cf745	None	None	FALSE	Albania|Bosnia and Herzegovina|EEA33|Montenegro|North Macedonia|San Marino|Serbia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_2000_rev16	None	None
02603caf-6706-46d8-a943-7c91ea4bb57b	None	EUNIS habitat type F6-7 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-7_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02603caf-6706-46d8-a943-7c91ea4bb57b	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f6-7_1940-2011_rev01	None	None
3e85edc3-fd15-41c4-b0be-5700571e7c2f	None	EUNIS habitat type F2-2b distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3e85edc3-fd15-41c4-b0be-5700571e7c2f	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f2-2b_1940-2011_rev01	None	None
417765e1-90e1-4e17-87d3-de4f55985410	None	EUNIS habitat type F7.4c, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in the Iberian Penissula should be ignored. Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4c_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 57 Regularized training gain: 3.4576 Unregularized training gain: 3.7394 Iterations: 500 Training AUC: 0.991 #Test samples: 6 Test gain: 2.5065 Test AUC: 0.9575 AUC Standard Deviation: 0.0254 #Background points: 5057 bio_12_etrs2_ras contribution: 15.5779 bio_15_etrs2_ras contribution: 6.2742 bio_18_etrs2_ras contribution: 8.5922 bio_4_etrs2_ras contribution: 1.0485 bio_8_etrs2_ras contribution: 23.2442 bld_m_sd1_1km_eu_ll contribution: 2.1347 cecsum_m_sd1_1km_eu_ll contribution: 0.3437 clyppt_m_sd1_1km_eu_ll contribution: 0.6099 crfvol_m_sd1_1km_eu_ll contribution: 18.8631 dist2water1km contribution: 0.3099 orcdrc_m_sd1_1km_eu_ll contribution: 0.0204 pet_he_yr contribution: 7.5398 phihox_m_sd1_1km_eu_ll contribution: 7.4881 sltppt_m_sd1_1km_eu_ll contribution: 0.0592 sndppt_m_sd1_1km_eu_ll contribution: 0.2446 solar_1km contribution: 7.6495 bio_12_etrs2_ras permutation importance: 2.1758 bio_15_etrs2_ras permutation importance: 0 bio_18_etrs2_ras permutation importance: 66.4663 bio_4_etrs2_ras permutation importance: 13.2252 bio_8_etrs2_ras permutation importance: 0.237 bld_m_sd1_1km_eu_ll permutation importance: 10.0411 cecsum_m_sd1_1km_eu_ll permutation importance: 0.2801 clyppt_m_sd1_1km_eu_ll permutation importance: 0 crfvol_m_sd1_1km_eu_ll permutation importance: 0 dist2water1km permutation importance: 0.1659 orcdrc_m_sd1_1km_eu_ll permutation importance: 0 pet_he_yr permutation importance: 0 phihox_m_sd1_1km_eu_ll permutation importance: 5.054 sltppt_m_sd1_1km_eu_ll permutation importance: 0.3361 sndppt_m_sd1_1km_eu_ll permutation importance: 1.7299 solar_1km permutation importance: 0.2887 Entropy: 5.078 Prevalence (average of logistic output over background sites): 0.0143 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0035 Fixed cumulative value 1 area: 0.1975 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 5.94E-05 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0253 Fixed cumulative value 5 area: 0.0722 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0.1667 Fixed cumulative value 5 binomial probability: 1.10E-05 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.0709 Fixed cumulative value 10 area: 0.036 Fixed cumulative value 10 training omission: 0.0526 Fixed cumulative value 10 test omission: 0.3333 Fixed cumulative value 10 binomial probability: 2.37E-05 Minimum training presence cumulative threshold: 6.2631 Minimum training presence logistic threshold: 0.0343 Minimum training presence area: 0.0589 Minimum training presence training omission: 0 Minimum training presence test omission: 0.3333 Minimum training presence binomial probability: 1.64E-04 10 percentile training presence cumulative threshold: 22.7522 10 percentile training presence logistic threshold: 0.3409 10 percentile training presence area: 0.0134 10 percentile training presence training omission: 0.0877 10 percentile training presence test omission: 0.3333 10 percentile training presence binomial probability: 4.80E-07 Equal training sensitivity and specificity cumulative threshold: 9.0807 Equal training sensitivity and specificity logistic threshold: 0.0592 Equal training sensitivity and specificity area: 0.0403 Equal training sensitivity and specificity training omission: 0.0351 Equal training sensitivity and specificity test omission: 0.3333 Equal training sensitivity and specificity binomial probability: 3.72E-05 Maximum training sensitivity plus specificity cumulative threshold: 6.2631 Maximum training sensitivity plus specificity logistic threshold: 0.0343 Maximum training sensitivity plus specificity area: 0.0589 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0.3333 Maximum training sensitivity plus specificity binomial probability: 1.64E-04 Equal test sensitivity and specificity cumulative threshold: 1.4239 Equal test sensitivity and specificity logistic threshold: 0.0053 Equal test sensitivity and specificity area: 0.1667 Equal test sensitivity and specificity training omission: 0 Equal test sensitivity and specificity test omission: 0.1667 Equal test sensitivity and specificity binomial probability: 6.65E-04 Maximum test sensitivity plus specificity cumulative threshold: 1.3132 Maximum test sensitivity plus specificity logistic threshold: 0.0048 Maximum test sensitivity plus specificity area: 0.1734 Maximum test sensitivity plus specificity training omission: 0 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 2.72E-05 Balance training omission, predicted area and threshold value cumulative threshold: 2.8771 Balance training omission, predicted area and threshold value logistic threshold: 0.0125 Balance training omission, predicted area and threshold value area: 0.1105 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0.1667 Balance training omission, predicted area and threshold value binomial probability: 8.99E-05 Equate entropy of thresholded and original distributions cumulative threshold: 11.2492 Equate entropy of thresholded and original distributions logistic threshold: 0.0883 Equate entropy of thresholded and original distributions area: 0.0316 Equate entropy of thresholded and original distributions training omission: 0.0702 Equate entropy of thresholded and original distributions test omission: 0.3333 Equate entropy of thresholded and original distributions binomial probability: 1.43E-05	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/417765e1-90e1-4e17-87d3-de4f55985410	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f7-4c_1940-2011_rev01	None	None
2e9f9435-b47a-4f2d-bb2f-c61b8c7f7b1f	None	EUNIS habitat type G2.1 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-1_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e9f9435-b47a-4f2d-bb2f-c61b8c7f7b1f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g2-1_1940-2011_rev01	None	None
af31595f-13d7-4709-aa16-be540df5b555	None	EUNIS habitat type G3.9a distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af31595f-13d7-4709-aa16-be540df5b555	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-9a_1940-2011_rev01	None	None
1642e81f-3442-49fc-bbbd-fe55669086c4	None	EUNIS habitat type F7.4a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in Germany should be ignored.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 198 Regularized training gain: 2.6988 Unregularized training gain: 2.8457 Iterations: 500 Training AUC: 0.978 #Test samples: 22 Test gain: 2.6462 Test AUC: 0.9749 AUC Standard Deviation: 0.0045 #Background points: 5198 bio_12_etrs2_ras contribution: 0.0604 bio_15_etrs2_ras contribution: 0.4649 bio_18_etrs2_ras contribution: 1.9568 bio_4_etrs2_ras contribution: 44.1131 bio_8_etrs2_ras contribution: 0.1845 bld_m_sd1_1km_eu_ll contribution: 4.8498 cecsum_m_sd1_1km_eu_ll contribution: 0.0109 clyppt_m_sd1_1km_eu_ll contribution: 1.069 crfvol_m_sd1_1km_eu_ll contribution: 11.4203 dist2water1km contribution: 0.1268 orcdrc_m_sd1_1km_eu_ll contribution: 0.0364 pet_he_yr contribution: 4.481 phihox_m_sd1_1km_eu_ll contribution: 0.4291 sltppt_m_sd1_1km_eu_ll contribution: 0.17 sndppt_m_sd1_1km_eu_ll contribution: 6.6428 solar_1km contribution: 23.9843 bio_12_etrs2_ras permutation importance: 0.3837 bio_15_etrs2_ras permutation importance: 2.1069 bio_18_etrs2_ras permutation importance: 2.1893 bio_4_etrs2_ras permutation importance: 49.2294 bio_8_etrs2_ras permutation importance: 0.8161 bld_m_sd1_1km_eu_ll permutation importance: 2.4472 cecsum_m_sd1_1km_eu_ll permutation importance: 0 clyppt_m_sd1_1km_eu_ll permutation importance: 1.1121 crfvol_m_sd1_1km_eu_ll permutation importance: 21.7736 dist2water1km permutation importance: 0.018 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.2431 pet_he_yr permutation importance: 3.8617 phihox_m_sd1_1km_eu_ll permutation importance: 0.2125 sltppt_m_sd1_1km_eu_ll permutation importance: 0.0645 sndppt_m_sd1_1km_eu_ll permutation importance: 12.861 solar_1km permutation importance: 2.6809 Entropy: 5.8591 Prevalence (average of logistic output over background sites): 0.0319 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0101 Fixed cumulative value 1 area: 0.1604 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 3.29E-18 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0804 Fixed cumulative value 5 area: 0.0702 Fixed cumulative value 5 training omission: 0.0051 Fixed cumulative value 5 test omission: 0.0455 Fixed cumulative value 5 binomial probability: 1.22E-23 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2421 Fixed cumulative value 10 area: 0.0506 Fixed cumulative value 10 training omission: 0.0404 Fixed cumulative value 10 test omission: 0.1364 Fixed cumulative value 10 binomial probability: 3.17E-22 Minimum training presence cumulative threshold: 4.5647 Minimum training presence logistic threshold: 0.0675 Minimum training presence area: 0.0739 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0455 Minimum training presence binomial probability: 3.54E-23 10 percentile training presence cumulative threshold: 14.9112 10 percentile training presence logistic threshold: 0.3598 10 percentile training presence area: 0.0425 10 percentile training presence training omission: 0.096 10 percentile training presence test omission: 0.2273 10 percentile training presence binomial probability: 1.04E-19 Equal training sensitivity and specificity cumulative threshold: 11.0927 Equal training sensitivity and specificity logistic threshold: 0.2639 Equal training sensitivity and specificity area: 0.0485 Equal training sensitivity and specificity training omission: 0.0505 Equal training sensitivity and specificity test omission: 0.1364 Equal training sensitivity and specificity binomial probability: 1.42E-22 Maximum training sensitivity plus specificity cumulative threshold: 6.1491 Maximum training sensitivity plus specificity logistic threshold: 0.1169 Maximum training sensitivity plus specificity area: 0.0629 Maximum training sensitivity plus specificity training omission: 0.0051 Maximum training sensitivity plus specificity test omission: 0.0909 Maximum training sensitivity plus specificity binomial probability: 1.92E-22 Equal test sensitivity and specificity cumulative threshold: 6.0538 Equal test sensitivity and specificity logistic threshold: 0.1149 Equal test sensitivity and specificity area: 0.0635 Equal test sensitivity and specificity training omission: 0.0051 Equal test sensitivity and specificity test omission: 0.0455 Equal test sensitivity and specificity binomial probability: 1.48E-24 Maximum test sensitivity plus specificity cumulative threshold: 4.316 Maximum test sensitivity plus specificity logistic threshold: 0.0632 Maximum test sensitivity plus specificity area: 0.0762 Maximum test sensitivity plus specificity training omission: 0 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 2.52E-25 Balance training omission, predicted area and threshold value cumulative threshold: 2.3501 Balance training omission, predicted area and threshold value logistic threshold: 0.0262 Balance training omission, predicted area and threshold value area: 0.1077 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 5.15E-22 Equate entropy of thresholded and original distributions cumulative threshold: 5.4059 Equate entropy of thresholded and original distributions logistic threshold: 0.0902 Equate entropy of thresholded and original distributions area: 0.0673 Equate entropy of thresholded and original distributions training omission: 0.0051 Equate entropy of thresholded and original distributions test omission: 0.0455 Equate entropy of thresholded and original distributions binomial probability: 5.09E-24	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1642e81f-3442-49fc-bbbd-fe55669086c4	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f7-4a_1940-2011_rev01	None	None
6d55ca89-eb7b-4ac2-85cd-a89ec614b8ce	None	EUNIS habitat type G1.5, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-5_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 579 Regularized training gain: 0.9656 Unregularized training gain: 1.0986 Iterations: 500 Training AUC: 0.8759 #Test samples: 64 Test gain: 1.0492 Test AUC: 0.855 AUC Standard Deviation: 0.0253 #Background points: 10234 bio_12_etrs2_ras contribution: 2.9986 bio_15_etrs2_ras contribution: 5.7861 bio_18_etrs2_ras contribution: 11.3991 bio_4_etrs2_ras contribution: 4.0095 bio_8_etrs2_ras contribution: 1.4044 dist2water1km contribution: 0.6122 pet_he_yr contribution: 48.1552 soil_ph contribution: 4.7057 solar_1km contribution: 20.9292 bio_12_etrs2_ras permutation importance: 8.2742 bio_15_etrs2_ras permutation importance: 4.8344 bio_18_etrs2_ras permutation importance: 7.7293 bio_4_etrs2_ras permutation importance: 8.2256 bio_8_etrs2_ras permutation importance: 2.9707 dist2water1km permutation importance: 0.6642 pet_he_yr permutation importance: 48.6548 soil_ph permutation importance: 4.8846 solar_1km permutation importance: 13.7621 Training gain without bio_12_etrs2_ras: 0.9507 Training gain without bio_15_etrs2_ras: 0.9557 Training gain without bio_18_etrs2_ras: 0.9528 Training gain without bio_4_etrs2_ras: 0.9495 Training gain without bio_8_etrs2_ras: 0.9526 Training gain without dist2water1km: 0.9602 Training gain without pet_he_yr: 0.8616 Training gain without soil_ph: 0.9288 Training gain without solar_1km: 0.9332 Training gain with only bio_12_etrs2_ras: 0.1415 Training gain with only bio_15_etrs2_ras: 0.2006 Training gain with only bio_18_etrs2_ras: 0.3148 Training gain with only bio_4_etrs2_ras: 0.245 Training gain with only bio_8_etrs2_ras: 0.1616 Training gain with only dist2water1km: 0.0125 Training gain with only pet_he_yr: 0.5099 Training gain with only soil_ph: 0.1791 Training gain with only solar_1km: 0.4046 Test gain without bio_12_etrs2_ras: 1.0301 Test gain without bio_15_etrs2_ras: 1.0312 Test gain without bio_18_etrs2_ras: 1.0747 Test gain without bio_4_etrs2_ras: 1.0379 Test gain without bio_8_etrs2_ras: 1.042 Test gain without dist2water1km: 1.0634 Test gain without pet_he_yr: 0.9489 Test gain without soil_ph: 1.0002 Test gain without solar_1km: 0.991 Test gain with only bio_12_etrs2_ras: 0.2311 Test gain with only bio_15_etrs2_ras: 0.1864 Test gain with only bio_18_etrs2_ras: 0.2508 Test gain with only bio_4_etrs2_ras: 0.2853 Test gain with only bio_8_etrs2_ras: 0.0853 Test gain with only dist2water1km: -0.0179 Test gain with only pet_he_yr: 0.5489 Test gain with only soil_ph: 0.1955 Test gain with only solar_1km: 0.5845 AUC without bio_12_etrs2_ras: 0.854 AUC without bio_15_etrs2_ras: 0.8543 AUC without bio_18_etrs2_ras: 0.8603 AUC without bio_4_etrs2_ras: 0.8536 AUC without bio_8_etrs2_ras: 0.8541 AUC without dist2water1km: 0.8571 AUC without pet_he_yr: 0.8424 AUC without soil_ph: 0.8493 AUC without solar_1km: 0.8517 AUC with only bio_12_etrs2_ras: 0.6892 AUC with only bio_15_etrs2_ras: 0.6548 AUC with only bio_18_etrs2_ras: 0.694 AUC with only bio_4_etrs2_ras: 0.6999 AUC with only bio_8_etrs2_ras: 0.629 AUC with only dist2water1km: 0.5019 AUC with only pet_he_yr: 0.788 AUC with only soil_ph: 0.6598 AUC with only solar_1km: 0.7956 Entropy: 8.2719 Prevalence (average of logistic output over background sites): 0.185 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0354 Fixed cumulative value 1 area: 0.7053 Fixed cumulative value 1 training omission: 0.0035 Fixed cumulative value 1 test omission: 0.0312 Fixed cumulative value 1 binomial probability: 1.89E-06 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1035 Fixed cumulative value 5 area: 0.4894 Fixed cumulative value 5 training omission: 0.0259 Fixed cumulative value 5 test omission: 0.1094 Fixed cumulative value 5 binomial probability: 6.80E-11 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1678 Fixed cumulative value 10 area: 0.3644 Fixed cumulative value 10 training omission: 0.0794 Fixed cumulative value 10 test omission: 0.1406 Fixed cumulative value 10 binomial probability: 9.48E-17 Minimum training presence cumulative threshold: 0.4185 Minimum training presence logistic threshold: 0.021 Minimum training presence area: 0.7834 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0156 Minimum training presence binomial probability: 4.74E-05 10 percentile training presence cumulative threshold: 12.3711 10 percentile training presence logistic threshold: 0.1982 10 percentile training presence area: 0.3239 10 percentile training presence training omission: 0.0984 10 percentile training presence test omission: 0.1406 10 percentile training presence binomial probability: 2.75E-20 Equal training sensitivity and specificity cumulative threshold: 24.6017 Equal training sensitivity and specificity logistic threshold: 0.3503 Equal training sensitivity and specificity area: 0.1937 Equal training sensitivity and specificity training omission: 0.1934 Equal training sensitivity and specificity test omission: 0.1875 Equal training sensitivity and specificity binomial probability: 2.63E-36 Maximum training sensitivity plus specificity cumulative threshold: 21.2849 Maximum training sensitivity plus specificity logistic threshold: 0.3032 Maximum training sensitivity plus specificity area: 0.22 Maximum training sensitivity plus specificity training omission: 0.1623 Maximum training sensitivity plus specificity test omission: 0.1875 Maximum training sensitivity plus specificity binomial probability: 1.26E-30 Equal test sensitivity and specificity cumulative threshold: 25.4949 Equal test sensitivity and specificity logistic threshold: 0.3639 Equal test sensitivity and specificity area: 0.1875 Equal test sensitivity and specificity training omission: 0.2021 Equal test sensitivity and specificity test omission: 0.1875 Equal test sensitivity and specificity binomial probability: 7.24E-38 Maximum test sensitivity plus specificity cumulative threshold: 25.9766 Maximum test sensitivity plus specificity logistic threshold: 0.3695 Maximum test sensitivity plus specificity area: 0.1843 Maximum test sensitivity plus specificity training omission: 0.2073 Maximum test sensitivity plus specificity test omission: 0.1875 Maximum test sensitivity plus specificity binomial probability: 1.00E-38 Balance training omission, predicted area and threshold value cumulative threshold: 2.6463 Balance training omission, predicted area and threshold value logistic threshold: 0.0679 Balance training omission, predicted area and threshold value area: 0.5864 Balance training omission, predicted area and threshold value training omission: 0.0121 Balance training omission, predicted area and threshold value test omission: 0.0625 Balance training omission, predicted area and threshold value binomial probability: 5.86E-09 Equate entropy of thresholded and original distributions cumulative threshold: 9.1017 Equate entropy of thresholded and original distributions logistic threshold: 0.1562 Equate entropy of thresholded and original distributions area: 0.3823 Equate entropy of thresholded and original distributions training omission: 0.076 Equate entropy of thresholded and original distributions test omission: 0.1406 Equate entropy of thresholded and original distributions binomial probability: 2.00E-15	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6d55ca89-eb7b-4ac2-85cd-a89ec614b8ce	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-5_1940-2011_rev01	None	None
11cebd20-83ee-409d-ad08-496599ee12bd	None	EUNIS habitat type G3.1a, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1796 Regularized training gain: 1.4466 Unregularized training gain: 1.4883 Iterations: 500 Training AUC: 0.9085 #Test samples: 199 Test gain: 1.4549 Test AUC: 0.9115 AUC Standard Deviation: 0.0052 #Background points: 11794 bio_12_etrs2_ras contribution: 0.2503 bio_15_etrs2_ras contribution: 0.4403 bio_18_etrs2_ras contribution: 69.6796 bio_4_etrs2_ras contribution: 19.2195 bio_8_etrs2_ras contribution: 0.0561 dist2water1km contribution: 0.0463 pet_he_yr contribution: 10.1659 soil_ph contribution: 0.018 solar_1km contribution: 0.1241 bio_12_etrs2_ras permutation importance: 1.7579 bio_15_etrs2_ras permutation importance: 1.1536 bio_18_etrs2_ras permutation importance: 40.7646 bio_4_etrs2_ras permutation importance: 46.6492 bio_8_etrs2_ras permutation importance: 0.0328 dist2water1km permutation importance: 0.1823 pet_he_yr permutation importance: 9.234 soil_ph permutation importance: 0.0734 solar_1km permutation importance: 0.1521 Entropy: 7.9287 Prevalence (average of logistic output over background sites): 0.1149 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0455 Fixed cumulative value 1 area: 0.2918 Fixed cumulative value 1 training omission: 0.0072 Fixed cumulative value 1 test omission: 0.0101 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1907 Fixed cumulative value 5 area: 0.2138 Fixed cumulative value 5 training omission: 0.034 Fixed cumulative value 5 test omission: 0.0603 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3344 Fixed cumulative value 10 area: 0.1804 Fixed cumulative value 10 training omission: 0.083 Fixed cumulative value 10 test omission: 0.1256 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.1723 Minimum training presence logistic threshold: 0.0025 Minimum training presence area: 0.4197 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 4.30E-62 10 percentile training presence cumulative threshold: 11.5723 10 percentile training presence logistic threshold: 0.3702 10 percentile training presence area: 0.1736 10 percentile training presence training omission: 0.0997 10 percentile training presence test omission: 0.1357 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 16.3739 Equal training sensitivity and specificity logistic threshold: 0.4374 Equal training sensitivity and specificity area: 0.1571 Equal training sensitivity and specificity training omission: 0.157 Equal training sensitivity and specificity test omission: 0.1809 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 6.2646 Maximum training sensitivity plus specificity logistic threshold: 0.2362 Maximum training sensitivity plus specificity area: 0.2027 Maximum training sensitivity plus specificity training omission: 0.0379 Maximum training sensitivity plus specificity test omission: 0.0653 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 13.6909 Equal test sensitivity and specificity logistic threshold: 0.4041 Equal test sensitivity and specificity area: 0.1658 Equal test sensitivity and specificity training omission: 0.1264 Equal test sensitivity and specificity test omission: 0.1658 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 2.8006 Maximum test sensitivity plus specificity logistic threshold: 0.128 Maximum test sensitivity plus specificity area: 0.2409 Maximum test sensitivity plus specificity training omission: 0.015 Maximum test sensitivity plus specificity test omission: 0.0101 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.4449 Balance training omission, predicted area and threshold value logistic threshold: 0.0577 Balance training omission, predicted area and threshold value area: 0.2722 Balance training omission, predicted area and threshold value training omission: 0.0084 Balance training omission, predicted area and threshold value test omission: 0.0101 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 3.1739 Equate entropy of thresholded and original distributions logistic threshold: 0.1393 Equate entropy of thresholded and original distributions area: 0.2353 Equate entropy of thresholded and original distributions training omission: 0.0173 Equate entropy of thresholded and original distributions test omission: 0.0352 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/11cebd20-83ee-409d-ad08-496599ee12bd	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-1a_1940-2011_rev01	None	None
7ce9e3b5-478a-4c09-bda1-72f58ab9717c	None	EUNIS habitat type F6.2, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in the Iberian Penissula should be ignored. Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-2_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 51 Regularized training gain: 3.5216 Unregularized training gain: 3.7985 Iterations: 500 Training AUC: 0.9923 #Test samples: 5 Test gain: 3.6835 Test AUC: 0.9916 AUC Standard Deviation: 0.0022 #Background points: 5051 bio_12_etrs2_ras contribution: 39.9468 bio_15_etrs2_ras contribution: 37.2821 bio_18_etrs2_ras contribution: 2.5152 bio_4_etrs2_ras contribution: 3.8421 bio_8_etrs2_ras contribution: 0.0112 bld_m_sd1_1km_eu_ll contribution: 0 cecsum_m_sd1_1km_eu_ll contribution: 0.0256 clyppt_m_sd1_1km_eu_ll contribution: 1.8396 crfvol_m_sd1_1km_eu_ll contribution: 0.0504 dist2water1km contribution: 0.4519 orcdrc_m_sd1_1km_eu_ll contribution: 1.1781 pet_he_yr contribution: 0.633 phihox_m_sd1_1km_eu_ll contribution: 11.4396 sltppt_m_sd1_1km_eu_ll contribution: 0.0137 sndppt_m_sd1_1km_eu_ll contribution: 0.7661 solar_1km contribution: 0.0046 bio_12_etrs2_ras permutation importance: 13.9163 bio_15_etrs2_ras permutation importance: 34.4248 bio_18_etrs2_ras permutation importance: 4.4589 bio_4_etrs2_ras permutation importance: 41.2525 bio_8_etrs2_ras permutation importance: 0.2427 bld_m_sd1_1km_eu_ll permutation importance: 0 cecsum_m_sd1_1km_eu_ll permutation importance: 0.3296 clyppt_m_sd1_1km_eu_ll permutation importance: 0.2608 crfvol_m_sd1_1km_eu_ll permutation importance: 0.0507 dist2water1km permutation importance: 0.2825 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.5216 pet_he_yr permutation importance: 0.0326 phihox_m_sd1_1km_eu_ll permutation importance: 3.2744 sltppt_m_sd1_1km_eu_ll permutation importance: 0 sndppt_m_sd1_1km_eu_ll permutation importance: 0.8947 solar_1km permutation importance: 0.058 Entropy: 5.0038 Prevalence (average of logistic output over background sites): 0.0137 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0039 Fixed cumulative value 1 area: 0.1192 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.40E-05 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0506 Fixed cumulative value 5 area: 0.0453 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.92E-07 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1175 Fixed cumulative value 10 area: 0.0279 Fixed cumulative value 10 training omission: 0.0196 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 1.69E-08 Minimum training presence cumulative threshold: 6.2126 Minimum training presence logistic threshold: 0.0662 Minimum training presence area: 0.0396 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 9.73E-08 10 percentile training presence cumulative threshold: 20.592 10 percentile training presence logistic threshold: 0.329 10 percentile training presence area: 0.015 10 percentile training presence training omission: 0.098 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 7.71E-10 Equal training sensitivity and specificity cumulative threshold: 11.3536 Equal training sensitivity and specificity logistic threshold: 0.1416 Equal training sensitivity and specificity area: 0.0253 Equal training sensitivity and specificity training omission: 0.0196 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 1.04E-08 Maximum training sensitivity plus specificity cumulative threshold: 6.2126 Maximum training sensitivity plus specificity logistic threshold: 0.0662 Maximum training sensitivity plus specificity area: 0.0396 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 9.73E-08 Equal test sensitivity and specificity cumulative threshold: 21.759 Equal test sensitivity and specificity logistic threshold: 0.3421 Equal test sensitivity and specificity area: 0.0143 Equal test sensitivity and specificity training omission: 0.1176 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 5.88E-10 Maximum test sensitivity plus specificity cumulative threshold: 21.759 Maximum test sensitivity plus specificity logistic threshold: 0.3421 Maximum test sensitivity plus specificity area: 0.0143 Maximum test sensitivity plus specificity training omission: 0.1176 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 5.88E-10 Balance training omission, predicted area and threshold value cumulative threshold: 1.9411 Balance training omission, predicted area and threshold value logistic threshold: 0.0115 Balance training omission, predicted area and threshold value area: 0.0772 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.74E-06 Equate entropy of thresholded and original distributions cumulative threshold: 9.4317 Equate entropy of thresholded and original distributions logistic threshold: 0.112 Equate entropy of thresholded and original distributions area: 0.0293 Equate entropy of thresholded and original distributions training omission: 0.0196 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 2.16E-08	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ce9e3b5-478a-4c09-bda1-72f58ab9717c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f6-2_1940-2011_rev01	None	None
eefad509-24f2-415c-9eee-ea21c71db0ee	None	EUNIS habitat type F5.5, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-5_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 89 Regularized training gain: 3.1942 Unregularized training gain: 3.3928 Iterations: 500 Training AUC: 0.9874 #Test samples: 9 Test gain: 3.049 Test AUC: 0.9814 AUC Standard Deviation: 0.0083 #Background points: 5089 bio_12_etrs2_ras contribution: 0.0773 bio_15_etrs2_ras contribution: 11.8497 bio_18_etrs2_ras contribution: 28.1046 bio_4_etrs2_ras contribution: 38.2369 bio_8_etrs2_ras contribution: 7.9066 bld_m_sd1_1km_eu_ll contribution: 0.3056 cecsum_m_sd1_1km_eu_ll contribution: 0 clyppt_m_sd1_1km_eu_ll contribution: 3.5663 crfvol_m_sd1_1km_eu_ll contribution: 0.7313 dist2water1km contribution: 0.0443 orcdrc_m_sd1_1km_eu_ll contribution: 0.3801 pet_he_yr contribution: 2.799 phihox_m_sd1_1km_eu_ll contribution: 2.0164 sltppt_m_sd1_1km_eu_ll contribution: 2.5521 sndppt_m_sd1_1km_eu_ll contribution: 0.7747 solar_1km contribution: 0.655 bio_12_etrs2_ras permutation importance: 0.2875 bio_15_etrs2_ras permutation importance: 8.3641 bio_18_etrs2_ras permutation importance: 3.151 bio_4_etrs2_ras permutation importance: 69.2011 bio_8_etrs2_ras permutation importance: 4.3301 bld_m_sd1_1km_eu_ll permutation importance: 0.5779 cecsum_m_sd1_1km_eu_ll permutation importance: 0 clyppt_m_sd1_1km_eu_ll permutation importance: 3.0755 crfvol_m_sd1_1km_eu_ll permutation importance: 0.1684 dist2water1km permutation importance: 0.0726 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.8829 pet_he_yr permutation importance: 0.5866 phihox_m_sd1_1km_eu_ll permutation importance: 5.4686 sltppt_m_sd1_1km_eu_ll permutation importance: 1.9371 sndppt_m_sd1_1km_eu_ll permutation importance: 0.6563 solar_1km permutation importance: 1.2401 Entropy: 5.3461 Prevalence (average of logistic output over background sites): 0.019 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0028 Fixed cumulative value 1 area: 0.2154 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 9.97E-07 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0408 Fixed cumulative value 5 area: 0.058 Fixed cumulative value 5 training omission: 0.0337 Fixed cumulative value 5 test omission: 0.1111 Fixed cumulative value 5 binomial probability: 1.09E-09 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1482 Fixed cumulative value 10 area: 0.0336 Fixed cumulative value 10 training omission: 0.0562 Fixed cumulative value 10 test omission: 0.1111 Fixed cumulative value 10 binomial probability: 1.42E-11 Minimum training presence cumulative threshold: 2.3692 Minimum training presence logistic threshold: 0.0103 Minimum training presence area: 0.1089 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 2.15E-09 10 percentile training presence cumulative threshold: 19.7599 10 percentile training presence logistic threshold: 0.3669 10 percentile training presence area: 0.0212 10 percentile training presence training omission: 0.0899 10 percentile training presence test omission: 0.1111 10 percentile training presence binomial probability: 3.63E-13 Equal training sensitivity and specificity cumulative threshold: 8.207 Equal training sensitivity and specificity logistic threshold: 0.1058 Equal training sensitivity and specificity area: 0.0389 Equal training sensitivity and specificity training omission: 0.0337 Equal training sensitivity and specificity test omission: 0.1111 Equal training sensitivity and specificity binomial probability: 4.56E-11 Maximum training sensitivity plus specificity cumulative threshold: 8.207 Maximum training sensitivity plus specificity logistic threshold: 0.1058 Maximum training sensitivity plus specificity area: 0.0389 Maximum training sensitivity plus specificity training omission: 0.0337 Maximum training sensitivity plus specificity test omission: 0.1111 Maximum training sensitivity plus specificity binomial probability: 4.56E-11 Equal test sensitivity and specificity cumulative threshold: 3.1088 Equal test sensitivity and specificity logistic threshold: 0.0176 Equal test sensitivity and specificity area: 0.0869 Equal test sensitivity and specificity training omission: 0.0225 Equal test sensitivity and specificity test omission: 0.1111 Equal test sensitivity and specificity binomial probability: 2.69E-08 Maximum test sensitivity plus specificity cumulative threshold: 3.1066 Maximum test sensitivity plus specificity logistic threshold: 0.0176 Maximum test sensitivity plus specificity area: 0.0869 Maximum test sensitivity plus specificity training omission: 0.0225 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 2.81E-10 Balance training omission, predicted area and threshold value cumulative threshold: 2.3692 Balance training omission, predicted area and threshold value logistic threshold: 0.0103 Balance training omission, predicted area and threshold value area: 0.1089 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.15E-09 Equate entropy of thresholded and original distributions cumulative threshold: 7.6554 Equate entropy of thresholded and original distributions logistic threshold: 0.0877 Equate entropy of thresholded and original distributions area: 0.0411 Equate entropy of thresholded and original distributions training omission: 0.0337 Equate entropy of thresholded and original distributions test omission: 0.1111 Equate entropy of thresholded and original distributions binomial probability: 7.02E-11	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eefad509-24f2-415c-9eee-ea21c71db0ee	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f5-5_1940-2011_rev01	None	None
8c47469a-c19c-4099-90c4-c418dbbfc90f	None	EUNIS habitat type G1.5 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-5_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8c47469a-c19c-4099-90c4-c418dbbfc90f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-5_1940-2011_rev01	None	None
f1a254a9-574c-4ee8-b4f2-944508143575	None	High nature value (HNV) farmland - version 1.0, Sept. 2015	None	None	None	None	None	The concept of HNV farmland ties together biodiversity to the continuation of farming on certain types of land and the maintenance of specific farming systems. The general goal of the data set is to enhance the European map of HNV farmland that shows the estimated distribution and presence likelihood of HNV farmland across the whole European territory. The objective of the HNV farmland map produced by EEA is to estimate the presence likelihood of HNV farmland within Europe using existing Europe-wide datasets. The EEA points out that the existing datasets may have drawbacks for HNV farmland identification and recommends therefore that the map be used as a proxy for the distribution of HNV farmland at European level appropriate for assessment purposes only.	https://www.eea.europa.eu/data-and-maps/data/high-nature-value-farmland	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1a254a9-574c-4ee8-b4f2-944508143575.png	EPSG:3035	2019-06-28	None	Habitats and biotopes|Land use	agricultural land|bird|butterfly|farming technique|grazing|protected area	grid	GTIFF	None	100m	None	The basic mapping steps are: 1) selection of relevant CORINE land cover classes in the different environmental zones in Europe per country 2) refinement of the draft land cover map on the basis of additional expert rules (e.g. relating to altitude, soil quality) and country specific information 3) addition of the biodiversity data layers with European coverage 4) addition of national biodiversity data sets 5) Up-scaling to 100*100 km2 INSPIRE grid For a detailed methodology, please consult the report.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1a254a9-574c-4ee8-b4f2-944508143575	2006	2011	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_hnv-farmland_2006-2011_rev01	None	None
201bab8e-e0bf-4137-bd7b-82999af0f9c4	None	EUNIS habitat type F2.3, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in Germany should be ignored. Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-3_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 310 Regularized training gain: 1.3861 Unregularized training gain: 1.6717 Iterations: 500 Training AUC: 0.9336 #Test samples: 34 Test gain: 1.5736 Test AUC: 0.9223 AUC Standard Deviation: 0.0127 #Background points: 5171 bio_12_etrs2_ras contribution: 16.9077 bio_15_etrs2_ras contribution: 4.0239 bio_18_etrs2_ras contribution: 24.867 bio_4_etrs2_ras contribution: 13.9288 bio_8_etrs2_ras contribution: 2.2471 bld_m_sd1_1km_eu_ll contribution: 0.6196 cecsum_m_sd1_1km_eu_ll contribution: 3.7884 clyppt_m_sd1_1km_eu_ll contribution: 0.4739 crfvol_m_sd1_1km_eu_ll contribution: 1.1602 dist2water1km contribution: 0.6474 orcdrc_m_sd1_1km_eu_ll contribution: 19.1663 pet_he_yr contribution: 8.9444 sltppt_m_sd1_1km_eu_ll contribution: 1.591 sndppt_m_sd1_1km_eu_ll contribution: 0.5388 solar_1km contribution: 1.0955 bio_12_etrs2_ras permutation importance: 17.4469 bio_15_etrs2_ras permutation importance: 5.4636 bio_18_etrs2_ras permutation importance: 7.9392 bio_4_etrs2_ras permutation importance: 17.8973 bio_8_etrs2_ras permutation importance: 4.2565 bld_m_sd1_1km_eu_ll permutation importance: 0.6678 cecsum_m_sd1_1km_eu_ll permutation importance: 3.681 clyppt_m_sd1_1km_eu_ll permutation importance: 1.8863 crfvol_m_sd1_1km_eu_ll permutation importance: 1.8538 dist2water1km permutation importance: 0.6989 orcdrc_m_sd1_1km_eu_ll permutation importance: 11.4509 pet_he_yr permutation importance: 19.2714 sltppt_m_sd1_1km_eu_ll permutation importance: 4.0789 sndppt_m_sd1_1km_eu_ll permutation importance: 2.743 solar_1km permutation importance: 0.6645 Training gain without bio_12_etrs2_ras: 1.3432 Training gain without bio_15_etrs2_ras: 1.3516 Training gain without bio_18_etrs2_ras: 1.3637 Training gain without bio_4_etrs2_ras: 1.3257 Training gain without bio_8_etrs2_ras: 1.3673 Training gain without bld_m_sd1_1km_eu_ll: 1.3783 Training gain without cecsum_m_sd1_1km_eu_ll: 1.3827 Training gain without clyppt_m_sd1_1km_eu_ll: 1.3779 Training gain without crfvol_m_sd1_1km_eu_ll: 1.3775 Training gain without dist2water1km: 1.3824 Training gain without orcdrc_m_sd1_1km_eu_ll: 1.3633 Training gain without pet_he_yr: 1.332 Training gain without sltppt_m_sd1_1km_eu_ll: 1.3829 Training gain without sndppt_m_sd1_1km_eu_ll: 1.3827 Training gain without solar_1km: 1.3726 Training gain with only bio_12_etrs2_ras: 0.6005 Training gain with only bio_15_etrs2_ras: 0.2783 Training gain with only bio_18_etrs2_ras: 0.7631 Training gain with only bio_4_etrs2_ras: 0.3674 Training gain with only bio_8_etrs2_ras: 0.2441 Training gain with only bld_m_sd1_1km_eu_ll: 0.5341 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.6645 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.1743 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.5479 Training gain with only dist2water1km: 0.1112 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.6554 Training gain with only pet_he_yr: 0.493 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.247 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.33 Training gain with only solar_1km: 0.5463 Test gain without bio_12_etrs2_ras: 1.521 Test gain without bio_15_etrs2_ras: 1.439 Test gain without bio_18_etrs2_ras: 1.5765 Test gain without bio_4_etrs2_ras: 1.5296 Test gain without bio_8_etrs2_ras: 1.5315 Test gain without bld_m_sd1_1km_eu_ll: 1.5612 Test gain without cecsum_m_sd1_1km_eu_ll: 1.5522 Test gain without clyppt_m_sd1_1km_eu_ll: 1.5853 Test gain without crfvol_m_sd1_1km_eu_ll: 1.567 Test gain without dist2water1km: 1.6299 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.5764 Test gain without pet_he_yr: 1.4934 Test gain without sltppt_m_sd1_1km_eu_ll: 1.58 Test gain without sndppt_m_sd1_1km_eu_ll: 1.5659 Test gain without solar_1km: 1.5562 Test gain with only bio_12_etrs2_ras: 0.8891 Test gain with only bio_15_etrs2_ras: 0.5651 Test gain with only bio_18_etrs2_ras: 1.1259 Test gain with only bio_4_etrs2_ras: 0.4029 Test gain with only bio_8_etrs2_ras: 0.3841 Test gain with only bld_m_sd1_1km_eu_ll: 0.7037 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.742 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.3473 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.7262 Test gain with only dist2water1km: 0.0383 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.6827 Test gain with only pet_he_yr: 0.6822 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.3292 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.4808 Test gain with only solar_1km: 0.6589 AUC without bio_12_etrs2_ras: 0.9173 AUC without bio_15_etrs2_ras: 0.9109 AUC without bio_18_etrs2_ras: 0.9223 AUC without bio_4_etrs2_ras: 0.9206 AUC without bio_8_etrs2_ras: 0.9194 AUC without bld_m_sd1_1km_eu_ll: 0.9225 AUC without cecsum_m_sd1_1km_eu_ll: 0.9212 AUC without clyppt_m_sd1_1km_eu_ll: 0.9226 AUC without crfvol_m_sd1_1km_eu_ll: 0.9216 AUC without dist2water1km: 0.9284 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9226 AUC without pet_he_yr: 0.9149 AUC without sltppt_m_sd1_1km_eu_ll: 0.9227 AUC without sndppt_m_sd1_1km_eu_ll: 0.9209 AUC without solar_1km: 0.9198 AUC with only bio_12_etrs2_ras: 0.8437 AUC with only bio_15_etrs2_ras: 0.776 AUC with only bio_18_etrs2_ras: 0.8738 AUC with only bio_4_etrs2_ras: 0.7405 AUC with only bio_8_etrs2_ras: 0.6806 AUC with only bld_m_sd1_1km_eu_ll: 0.8152 AUC with only cecsum_m_sd1_1km_eu_ll: 0.8273 AUC with only clyppt_m_sd1_1km_eu_ll: 0.754 AUC with only crfvol_m_sd1_1km_eu_ll: 0.823 AUC with only dist2water1km: 0.6304 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.7952 AUC with only pet_he_yr: 0.8027 AUC with only sltppt_m_sd1_1km_eu_ll: 0.6815 AUC with only sndppt_m_sd1_1km_eu_ll: 0.7782 AUC with only solar_1km: 0.8154 Entropy: 7.1847 Prevalence (average of logistic output over background sites): 0.1241 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0195 Fixed cumulative value 1 area: 0.4531 Fixed cumulative value 1 training omission: 0.0032 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 7.47E-11 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1334 Fixed cumulative value 5 area: 0.2839 Fixed cumulative value 5 training omission: 0.0258 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.01E-20 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2251 Fixed cumulative value 10 area: 0.2259 Fixed cumulative value 10 training omission: 0.0516 Fixed cumulative value 10 test omission: 0.0588 Fixed cumulative value 10 binomial probability: 9.86E-24 Minimum training presence cumulative threshold: 0.2492 Minimum training presence logistic threshold: 0.0047 Minimum training presence area: 0.6453 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 7.71E-06 10 percentile training presence cumulative threshold: 18.007 10 percentile training presence logistic threshold: 0.3192 10 percentile training presence area: 0.1711 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.1471 10 percentile training presence binomial probability: 2.40E-26 Equal training sensitivity and specificity cumulative threshold: 23.5 Equal training sensitivity and specificity logistic threshold: 0.3752 Equal training sensitivity and specificity area: 0.145 Equal training sensitivity and specificity training omission: 0.1452 Equal training sensitivity and specificity test omission: 0.2353 Equal training sensitivity and specificity binomial probability: 5.29E-25 Maximum training sensitivity plus specificity cumulative threshold: 14.7775 Maximum training sensitivity plus specificity logistic threshold: 0.2827 Maximum training sensitivity plus specificity area: 0.1903 Maximum training sensitivity plus specificity training omission: 0.0613 Maximum training sensitivity plus specificity test omission: 0.0882 Maximum training sensitivity plus specificity binomial probability: 4.22E-27 Equal test sensitivity and specificity cumulative threshold: 19.3368 Equal test sensitivity and specificity logistic threshold: 0.3372 Equal test sensitivity and specificity area: 0.1642 Equal test sensitivity and specificity training omission: 0.1097 Equal test sensitivity and specificity test omission: 0.1765 Equal test sensitivity and specificity binomial probability: 1.55E-25 Maximum test sensitivity plus specificity cumulative threshold: 7.0838 Maximum test sensitivity plus specificity logistic threshold: 0.1815 Maximum test sensitivity plus specificity area: 0.2551 Maximum test sensitivity plus specificity training omission: 0.0323 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.09E-23 Balance training omission, predicted area and threshold value cumulative threshold: 2.4436 Balance training omission, predicted area and threshold value logistic threshold: 0.0593 Balance training omission, predicted area and threshold value area: 0.3506 Balance training omission, predicted area and threshold value training omission: 0.0032 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 1.05E-15 Equate entropy of thresholded and original distributions cumulative threshold: 7.0838 Equate entropy of thresholded and original distributions logistic threshold: 0.1815 Equate entropy of thresholded and original distributions area: 0.2551 Equate entropy of thresholded and original distributions training omission: 0.0323 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 1.09E-23	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/201bab8e-e0bf-4137-bd7b-82999af0f9c4	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f2-3_1940-2011_rev01	None	None
151dafca-3e52-4744-a1fa-bdb98884b253	None	EUNIS habitat type F3-1e distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1e_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/151dafca-3e52-4744-a1fa-bdb98884b253	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1e_1940-2011_rev01	None	None
6dfd6369-24a1-494a-854f-29408270c54b	None	EUNIS habitat type B1.6a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1) Remarks: Inland prediction should be ignored. Hardly any prediction in the along the French coast. Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-6a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 54 Regularized training gain: 3.9324 Unregularized training gain: 4.1946 Iterations: 500 Training AUC: 0.9944 #Test samples: 6 Test gain: 4.7107 Test AUC: 0.9974 AUC Standard Deviation: 0.0013 #Background points: 5054 bio_12_etrs2_ras contribution: 0 bio_15_etrs2_ras contribution: 4.9242 bio_18_etrs2_ras contribution: 0.2755 bio_4_etrs2_ras contribution: 41.7572 bio_8_etrs2_ras contribution: 0.3381 bld_m_sd1_1km_eu_ll contribution: 2.5775 cecsum_m_sd1_1km_eu_ll contribution: 0.7106 clyppt_m_sd1_1km_eu_ll contribution: 0.4876 crfvol_m_sd1_1km_eu_ll contribution: 7.6674 dist2water1km contribution: 5.2114 orcdrc_m_sd1_1km_eu_ll contribution: 0.0983 pet_he_yr contribution: 9.389 phihox_m_sd1_1km_eu_ll contribution: 2.0785 sltppt_m_sd1_1km_eu_ll contribution: 23.9492 sndppt_m_sd1_1km_eu_ll contribution: 0.5353 solar_1km contribution: 0 bio_12_etrs2_ras permutation importance: 0 bio_15_etrs2_ras permutation importance: 0.774 bio_18_etrs2_ras permutation importance: 0.0314 bio_4_etrs2_ras permutation importance: 83.0457 bio_8_etrs2_ras permutation importance: 0.2541 bld_m_sd1_1km_eu_ll permutation importance: 0.9691 cecsum_m_sd1_1km_eu_ll permutation importance: 0.0498 clyppt_m_sd1_1km_eu_ll permutation importance: 0.0904 crfvol_m_sd1_1km_eu_ll permutation importance: 0.3654 dist2water1km permutation importance: 0.0681 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.1283 pet_he_yr permutation importance: 11.412 phihox_m_sd1_1km_eu_ll permutation importance: 0.4309 sltppt_m_sd1_1km_eu_ll permutation importance: 2.3351 sndppt_m_sd1_1km_eu_ll permutation importance: 0.0458 solar_1km permutation importance: 0 Entropy: 4.6004 Prevalence (average of logistic output over background sites): 0.0091 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0067 Fixed cumulative value 1 area: 0.0637 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 6.69E-08 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0473 Fixed cumulative value 5 area: 0.0269 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 3.80E-10 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1371 Fixed cumulative value 10 area: 0.016 Fixed cumulative value 10 training omission: 0.0185 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 1.70E-11 Minimum training presence cumulative threshold: 9.5384 Minimum training presence logistic threshold: 0.1231 Minimum training presence area: 0.0166 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 2.11E-11 10 percentile training presence cumulative threshold: 19.3742 10 percentile training presence logistic threshold: 0.3979 10 percentile training presence area: 0.0101 10 percentile training presence training omission: 0.0926 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 1.06E-12 Equal training sensitivity and specificity cumulative threshold: 9.6841 Equal training sensitivity and specificity logistic threshold: 0.1266 Equal training sensitivity and specificity area: 0.0166 Equal training sensitivity and specificity training omission: 0.0185 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 2.11E-11 Maximum training sensitivity plus specificity cumulative threshold: 9.5384 Maximum training sensitivity plus specificity logistic threshold: 0.1231 Maximum training sensitivity plus specificity area: 0.0166 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 2.11E-11 Equal test sensitivity and specificity cumulative threshold: 25.3253 Equal test sensitivity and specificity logistic threshold: 0.4905 Equal test sensitivity and specificity area: 0.0085 Equal test sensitivity and specificity training omission: 0.2222 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 3.79E-13 Maximum test sensitivity plus specificity cumulative threshold: 25.3253 Maximum test sensitivity plus specificity logistic threshold: 0.4905 Maximum test sensitivity plus specificity area: 0.0085 Maximum test sensitivity plus specificity training omission: 0.2222 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 3.79E-13 Balance training omission, predicted area and threshold value cumulative threshold: 1.0885 Balance training omission, predicted area and threshold value logistic threshold: 0.0077 Balance training omission, predicted area and threshold value area: 0.0613 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 5.32E-08 Equate entropy of thresholded and original distributions cumulative threshold: 7.8138 Equate entropy of thresholded and original distributions logistic threshold: 0.0986 Equate entropy of thresholded and original distributions area: 0.0196 Equate entropy of thresholded and original distributions training omission: 0 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 5.65E-11	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6dfd6369-24a1-494a-854f-29408270c54b	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b1-6a_1940-2011_rev01	None	None
0c3681a0-d5d9-4d88-bb85-b7a04dee6bb5	None	EUNIS habitat type F3-1c distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1c_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c3681a0-d5d9-4d88-bb85-b7a04dee6bb5	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1c_1940-2011_rev01	None	None
7e7da33a-4c1a-4686-94ed-dd4a9d3f79e8	None	EUNIS habitat type G3.7, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-7_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 374 Regularized training gain: 2.0486 Unregularized training gain: 2.2355 Iterations: 500 Training AUC: 0.9617 #Test samples: 41 Test gain: 2.1333 Test AUC: 0.957 AUC Standard Deviation: 0.0066 #Background points: 10374 bio_12_etrs2_ras contribution: 3.8205 bio_15_etrs2_ras contribution: 4.7735 bio_18_etrs2_ras contribution: 5.8938 bio_4_etrs2_ras contribution: 50.976 bio_8_etrs2_ras contribution: 12.802 dist2water1km contribution: 2.7684 pet_he_yr contribution: 17.4106 soil_ph contribution: 0.5871 solar_1km contribution: 0.9681 bio_12_etrs2_ras permutation importance: 6.0613 bio_15_etrs2_ras permutation importance: 3.3478 bio_18_etrs2_ras permutation importance: 8.3798 bio_4_etrs2_ras permutation importance: 44.8591 bio_8_etrs2_ras permutation importance: 13.9173 dist2water1km permutation importance: 1.5117 pet_he_yr permutation importance: 20.088 soil_ph permutation importance: 1.1104 solar_1km permutation importance: 0.7248 Entropy: 7.2124 Prevalence (average of logistic output over background sites): 0.0631 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0163 Fixed cumulative value 1 area: 0.2637 Fixed cumulative value 1 training omission: 0.0027 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 5.17E-27 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1133 Fixed cumulative value 5 area: 0.1537 Fixed cumulative value 5 training omission: 0.0214 Fixed cumulative value 5 test omission: 0.0244 Fixed cumulative value 5 binomial probability: 1.52E-48 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1922 Fixed cumulative value 10 area: 0.1177 Fixed cumulative value 10 training omission: 0.0615 Fixed cumulative value 10 test omission: 0.122 Fixed cumulative value 10 binomial probability: 7.15E-52 Minimum training presence cumulative threshold: 0.7062 Minimum training presence logistic threshold: 0.0116 Minimum training presence area: 0.2909 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 7.88E-24 10 percentile training presence cumulative threshold: 16.334 10 percentile training presence logistic threshold: 0.2834 10 percentile training presence area: 0.0907 10 percentile training presence training omission: 0.0989 10 percentile training presence test omission: 0.1463 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 15.5115 Equal training sensitivity and specificity logistic threshold: 0.2726 Equal training sensitivity and specificity area: 0.0936 Equal training sensitivity and specificity training omission: 0.0936 Equal training sensitivity and specificity test omission: 0.122 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 6.4594 Maximum training sensitivity plus specificity logistic threshold: 0.141 Maximum training sensitivity plus specificity area: 0.1404 Maximum training sensitivity plus specificity training omission: 0.0214 Maximum training sensitivity plus specificity test omission: 0.0488 Maximum training sensitivity plus specificity binomial probability: 8.83E-51 Equal test sensitivity and specificity cumulative threshold: 9.9992 Equal test sensitivity and specificity logistic threshold: 0.1913 Equal test sensitivity and specificity area: 0.1178 Equal test sensitivity and specificity training omission: 0.0615 Equal test sensitivity and specificity test omission: 0.122 Equal test sensitivity and specificity binomial probability: 7.98E-52 Maximum test sensitivity plus specificity cumulative threshold: 6.2524 Maximum test sensitivity plus specificity logistic threshold: 0.137 Maximum test sensitivity plus specificity area: 0.1421 Maximum test sensitivity plus specificity training omission: 0.0214 Maximum test sensitivity plus specificity test omission: 0.0244 Maximum test sensitivity plus specificity binomial probability: 4.69E-53 Balance training omission, predicted area and threshold value cumulative threshold: 2.0756 Balance training omission, predicted area and threshold value logistic threshold: 0.0375 Balance training omission, predicted area and threshold value area: 0.2073 Balance training omission, predicted area and threshold value training omission: 0.0027 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.92E-36 Equate entropy of thresholded and original distributions cumulative threshold: 7.8306 Equate entropy of thresholded and original distributions logistic threshold: 0.1671 Equate entropy of thresholded and original distributions area: 0.1307 Equate entropy of thresholded and original distributions training omission: 0.0374 Equate entropy of thresholded and original distributions test omission: 0.0732 Equate entropy of thresholded and original distributions binomial probability: 5.73E-52	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e7da33a-4c1a-4686-94ed-dd4a9d3f79e8	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-7_1940-2011_rev01	None	None
dd3042e6-bab5-4e17-9f3e-c89998dade41	None	EUNIS habitat type B1-6a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-6a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dd3042e6-bab5-4e17-9f3e-c89998dade41	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b1-6a_1940-2011_rev01	None	None
7b064c18-3998-4c76-b69a-7e63cb4fdd06	None	EUNIS habitat type F2-2a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b064c18-3998-4c76-b69a-7e63cb4fdd06	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f2-2a_1940-2011_rev01	None	None
093dabbe-857b-4c8c-ad31-31b33c4d26fe	None	EUNIS habitat type G1.4 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-4_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/093dabbe-857b-4c8c-ad31-31b33c4d26fe	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-4_1940-2011_rev01	None	None
33e1c8bc-75be-4940-a129-70e8a4727b3f	None	EUNIS habitat type G3.1b distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33e1c8bc-75be-4940-a129-70e8a4727b3f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-1b_1940-2011_rev01	None	None
31493496-55b4-42f4-9380-0df684fc5a15	None	EUNIS habitat type F7.4b, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Poor prediction, should be restricted to Southern Europe. Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 18 Regularized training gain: 3.5645 Unregularized training gain: 4.4924 Iterations: 500 Training AUC: 0.9961 #Test samples: 2 Test gain: 5.6265 Test AUC: 0.9995 AUC Standard Deviation: 0.0003 #Background points: 5018 bio_12_etrs2_ras contribution: 1.9425 bio_15_etrs2_ras contribution: 0.6398 bio_18_etrs2_ras contribution: 11.3689 bio_4_etrs2_ras contribution: 13.3294 bio_8_etrs2_ras contribution: 0.5679 bld_m_sd1_1km_eu_ll contribution: 0 cecsum_m_sd1_1km_eu_ll contribution: 2.2802 clyppt_m_sd1_1km_eu_ll contribution: 10.3818 crfvol_m_sd1_1km_eu_ll contribution: 19.27 dist2water1km contribution: 31.3163 orcdrc_m_sd1_1km_eu_ll contribution: 2.2177 pet_he_yr contribution: 5.9573 phihox_m_sd1_1km_eu_ll contribution: 0.2598 sltppt_m_sd1_1km_eu_ll contribution: 0.2645 sndppt_m_sd1_1km_eu_ll contribution: 0 solar_1km contribution: 0.204 bio_12_etrs2_ras permutation importance: 1.9071 bio_15_etrs2_ras permutation importance: 0.0409 bio_18_etrs2_ras permutation importance: 34.9612 bio_4_etrs2_ras permutation importance: 8.4866 bio_8_etrs2_ras permutation importance: 1.3622 bld_m_sd1_1km_eu_ll permutation importance: 0 cecsum_m_sd1_1km_eu_ll permutation importance: 0.0477 clyppt_m_sd1_1km_eu_ll permutation importance: 33.7216 crfvol_m_sd1_1km_eu_ll permutation importance: 1.8799 dist2water1km permutation importance: 0.7084 orcdrc_m_sd1_1km_eu_ll permutation importance: 0 pet_he_yr permutation importance: 16.7348 phihox_m_sd1_1km_eu_ll permutation importance: 0.0613 sltppt_m_sd1_1km_eu_ll permutation importance: 0.0477 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 0.0409 Entropy: 4.9681 Prevalence (average of logistic output over background sites): 0.013 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0023 Fixed cumulative value 1 area: 0.3025 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 9.15E-02 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.015 Fixed cumulative value 5 area: 0.1226 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.50E-02 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.0364 Fixed cumulative value 10 area: 0.0626 Fixed cumulative value 10 training omission: 0 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 3.92E-03 Minimum training presence cumulative threshold: 16.9189 Minimum training presence logistic threshold: 0.0948 Minimum training presence area: 0.0295 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 8.70E-04 10 percentile training presence cumulative threshold: 30.1029 10 percentile training presence logistic threshold: 0.275 10 percentile training presence area: 0.0096 10 percentile training presence training omission: 0.0556 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 9.15E-05 Equal training sensitivity and specificity cumulative threshold: 16.9918 Equal training sensitivity and specificity logistic threshold: 0.0948 Equal training sensitivity and specificity area: 0.0295 Equal training sensitivity and specificity training omission: 0.0556 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 8.70E-04 Maximum training sensitivity plus specificity cumulative threshold: 16.9189 Maximum training sensitivity plus specificity logistic threshold: 0.0948 Maximum training sensitivity plus specificity area: 0.0295 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 8.70E-04 Equal test sensitivity and specificity cumulative threshold: 80.3144 Equal test sensitivity and specificity logistic threshold: 0.8727 Equal test sensitivity and specificity area: 0.0008 Equal test sensitivity and specificity training omission: 0.7778 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 6.35E-07 Maximum test sensitivity plus specificity cumulative threshold: 80.3144 Maximum test sensitivity plus specificity logistic threshold: 0.8727 Maximum test sensitivity plus specificity area: 0.0008 Maximum test sensitivity plus specificity training omission: 0.7778 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 6.35E-07 Balance training omission, predicted area and threshold value cumulative threshold: 4.0242 Balance training omission, predicted area and threshold value logistic threshold: 0.0113 Balance training omission, predicted area and threshold value area: 0.1437 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.06E-02 Equate entropy of thresholded and original distributions cumulative threshold: 17.3633 Equate entropy of thresholded and original distributions logistic threshold: 0.0972 Equate entropy of thresholded and original distributions area: 0.0285 Equate entropy of thresholded and original distributions training omission: 0.0556 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 8.12E-04	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/31493496-55b4-42f4-9380-0df684fc5a15	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f7-4b_1940-2011_rev01	None	None
c0849cb5-3199-440f-a6f2-81d06b9d6f24	None	EUNIS habitat type F9.1a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 28 Regularized training gain: 2.6513 Unregularized training gain: 3.2365 Iterations: 500 Training AUC: 0.9784 #Test samples: 3 Test gain: 1.7485 Test AUC: 0.9554 AUC Standard Deviation: 0.0168 #Background points: 5028 bio_12_etrs2_ras contribution: 2.062 bio_15_etrs2_ras contribution: 2.7475 bio_18_etrs2_ras contribution: 5.4374 bio_4_etrs2_ras contribution: 15.7363 bio_8_etrs2_ras contribution: 13.3716 bld_m_sd1_1km_eu_ll contribution: 3.9422 cecsum_m_sd1_1km_eu_ll contribution: 3.8722 clyppt_m_sd1_1km_eu_ll contribution: 4.7988 crfvol_m_sd1_1km_eu_ll contribution: 0.0194 dist2water1km contribution: 0.0549 orcdrc_m_sd1_1km_eu_ll contribution: 6.8494 pet_he_yr contribution: 39.4572 phihox_m_sd1_1km_eu_ll contribution: 0.0006 sltppt_m_sd1_1km_eu_ll contribution: 0 sndppt_m_sd1_1km_eu_ll contribution: 0 solar_1km contribution: 1.6505 bio_12_etrs2_ras permutation importance: 2.6305 bio_15_etrs2_ras permutation importance: 2.3392 bio_18_etrs2_ras permutation importance: 9.287 bio_4_etrs2_ras permutation importance: 7.7913 bio_8_etrs2_ras permutation importance: 28.9472 bld_m_sd1_1km_eu_ll permutation importance: 22.3513 cecsum_m_sd1_1km_eu_ll permutation importance: 12.7336 clyppt_m_sd1_1km_eu_ll permutation importance: 0.8768 crfvol_m_sd1_1km_eu_ll permutation importance: 0.1092 dist2water1km permutation importance: 0.0152 orcdrc_m_sd1_1km_eu_ll permutation importance: 1.6717 pet_he_yr permutation importance: 8.5437 phihox_m_sd1_1km_eu_ll permutation importance: 0.0273 sltppt_m_sd1_1km_eu_ll permutation importance: 0 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 2.676 Entropy: 5.8744 Prevalence (average of logistic output over background sites): 0.0339 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.007 Fixed cumulative value 1 area: 0.3117 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 3.03E-02 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0396 Fixed cumulative value 5 area: 0.1553 Fixed cumulative value 5 training omission: 0.0357 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 3.75E-03 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.0871 Fixed cumulative value 10 area: 0.1002 Fixed cumulative value 10 training omission: 0.0714 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 1.01E-03 Minimum training presence cumulative threshold: 4.0019 Minimum training presence logistic threshold: 0.0304 Minimum training presence area: 0.1748 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 5.34E-03 10 percentile training presence cumulative threshold: 17.2303 10 percentile training presence logistic threshold: 0.1588 10 percentile training presence area: 0.0623 10 percentile training presence training omission: 0.0714 10 percentile training presence test omission: 0.3333 10 percentile training presence binomial probability: 1.11E-02 Equal training sensitivity and specificity cumulative threshold: 15.0028 Equal training sensitivity and specificity logistic threshold: 0.1363 Equal training sensitivity and specificity area: 0.0714 Equal training sensitivity and specificity training omission: 0.0714 Equal training sensitivity and specificity test omission: 0.3333 Equal training sensitivity and specificity binomial probability: 1.46E-02 Maximum training sensitivity plus specificity cumulative threshold: 17.2303 Maximum training sensitivity plus specificity logistic threshold: 0.1588 Maximum training sensitivity plus specificity area: 0.0623 Maximum training sensitivity plus specificity training omission: 0.0714 Maximum training sensitivity plus specificity test omission: 0.3333 Maximum training sensitivity plus specificity binomial probability: 1.11E-02 Equal test sensitivity and specificity cumulative threshold: 13.7596 Equal test sensitivity and specificity logistic threshold: 0.1225 Equal test sensitivity and specificity area: 0.0772 Equal test sensitivity and specificity training omission: 0.0714 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 4.59E-04 Maximum test sensitivity plus specificity cumulative threshold: 13.7596 Maximum test sensitivity plus specificity logistic threshold: 0.1225 Maximum test sensitivity plus specificity area: 0.0772 Maximum test sensitivity plus specificity training omission: 0.0714 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 4.59E-04 Balance training omission, predicted area and threshold value cumulative threshold: 3.5898 Balance training omission, predicted area and threshold value logistic threshold: 0.0275 Balance training omission, predicted area and threshold value area: 0.1848 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 6.31E-03 Equate entropy of thresholded and original distributions cumulative threshold: 15.1812 Equate entropy of thresholded and original distributions logistic threshold: 0.1374 Equate entropy of thresholded and original distributions area: 0.0706 Equate entropy of thresholded and original distributions training omission: 0.0714 Equate entropy of thresholded and original distributions test omission: 0.3333 Equate entropy of thresholded and original distributions binomial probability: 1.43E-02	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0849cb5-3199-440f-a6f2-81d06b9d6f24	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f9-1a_1940-2011_rev01	None	None
20c0d49f-4ef6-43d7-8829-d0b1b1657497	None	EUNIS habitat type F4.1, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-1_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 881 Regularized training gain: 1.4152 Unregularized training gain: 1.4859 Iterations: 500 Training AUC: 0.9118 #Test samples: 97 Test gain: 1.559 Test AUC: 0.9158 AUC Standard Deviation: 0.0062 #Background points: 5880 bio_12_etrs2_ras contribution: 0.1603 bio_15_etrs2_ras contribution: 0.6302 bio_18_etrs2_ras contribution: 0.3854 bio_4_etrs2_ras contribution: 74.6549 bio_8_etrs2_ras contribution: 0.3431 bld_m_sd1_1km_eu_ll contribution: 4.9738 cecsum_m_sd1_1km_eu_ll contribution: 0.0011 clyppt_m_sd1_1km_eu_ll contribution: 0.6261 crfvol_m_sd1_1km_eu_ll contribution: 0.001 dist2water1km contribution: 0.0314 orcdrc_m_sd1_1km_eu_ll contribution: 0.071 pet_he_yr contribution: 5.217 phihox_m_sd1_1km_eu_ll contribution: 6.5263 sltppt_m_sd1_1km_eu_ll contribution: 4.9587 sndppt_m_sd1_1km_eu_ll contribution: 1.1275 solar_1km contribution: 0.2921 bio_12_etrs2_ras permutation importance: 0.5099 bio_15_etrs2_ras permutation importance: 2.3547 bio_18_etrs2_ras permutation importance: 1.37 bio_4_etrs2_ras permutation importance: 76.617 bio_8_etrs2_ras permutation importance: 0.3155 bld_m_sd1_1km_eu_ll permutation importance: 3.1889 cecsum_m_sd1_1km_eu_ll permutation importance: 0.0214 clyppt_m_sd1_1km_eu_ll permutation importance: 2.8413 crfvol_m_sd1_1km_eu_ll permutation importance: 0.0048 dist2water1km permutation importance: 0.1075 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.1084 pet_he_yr permutation importance: 8.2662 phihox_m_sd1_1km_eu_ll permutation importance: 3.1318 sltppt_m_sd1_1km_eu_ll permutation importance: 0.6201 sndppt_m_sd1_1km_eu_ll permutation importance: 0.1568 solar_1km permutation importance: 0.3858 Entropy: 7.2663 Prevalence (average of logistic output over background sites): 0.1182 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.033 Fixed cumulative value 1 area: 0.3383 Fixed cumulative value 1 training omission: 0.0023 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.80E-43 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.163 Fixed cumulative value 5 area: 0.2308 Fixed cumulative value 5 training omission: 0.0295 Fixed cumulative value 5 test omission: 0.0103 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2964 Fixed cumulative value 10 area: 0.1889 Fixed cumulative value 10 training omission: 0.0783 Fixed cumulative value 10 test omission: 0.0309 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0614 Minimum training presence logistic threshold: 0.0014 Minimum training presence area: 0.5969 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 2.91E-16 10 percentile training presence cumulative threshold: 12.8354 10 percentile training presence logistic threshold: 0.3453 10 percentile training presence area: 0.1743 10 percentile training presence training omission: 0.0999 10 percentile training presence test omission: 0.0412 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 18.1245 Equal training sensitivity and specificity logistic threshold: 0.4071 Equal training sensitivity and specificity area: 0.1529 Equal training sensitivity and specificity training omission: 0.1532 Equal training sensitivity and specificity test omission: 0.0825 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 6.2191 Maximum training sensitivity plus specificity logistic threshold: 0.1969 Maximum training sensitivity plus specificity area: 0.2173 Maximum training sensitivity plus specificity training omission: 0.0386 Maximum training sensitivity plus specificity test omission: 0.0206 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 24.5862 Equal test sensitivity and specificity logistic threshold: 0.4655 Equal test sensitivity and specificity area: 0.1327 Equal test sensitivity and specificity training omission: 0.2032 Equal test sensitivity and specificity test omission: 0.134 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 13.6499 Maximum test sensitivity plus specificity logistic threshold: 0.3537 Maximum test sensitivity plus specificity area: 0.1707 Maximum test sensitivity plus specificity training omission: 0.1078 Maximum test sensitivity plus specificity test omission: 0.0412 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 2.4267 Balance training omission, predicted area and threshold value logistic threshold: 0.0819 Balance training omission, predicted area and threshold value area: 0.2786 Balance training omission, predicted area and threshold value training omission: 0.0034 Balance training omission, predicted area and threshold value test omission: 0.0103 Balance training omission, predicted area and threshold value binomial probability: 2.54E-55 Equate entropy of thresholded and original distributions cumulative threshold: 4.1097 Equate entropy of thresholded and original distributions logistic threshold: 0.1307 Equate entropy of thresholded and original distributions area: 0.2434 Equate entropy of thresholded and original distributions training omission: 0.0216 Equate entropy of thresholded and original distributions test omission: 0.0103 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20c0d49f-4ef6-43d7-8829-d0b1b1657497	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f4-1_1940-2011_rev01	None	None
2f51f5d4-26a6-4e73-8a10-c4630ee8ab59	None	EUNIS habitat type F7-4b distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2f51f5d4-26a6-4e73-8a10-c4630ee8ab59	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f7-4b_1940-2011_rev01	None	None
8e5906d7-72c1-45dc-99f6-0a2250000ed3	None	EUNIS habitat type F2-4 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-4_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e5906d7-72c1-45dc-99f6-0a2250000ed3	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f2-4_1940-2011_rev01	None	None
7a6a77f7-770b-4a0c-a89a-43068c993b4e	None	EUNIS habitat type G3.2 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a6a77f7-770b-4a0c-a89a-43068c993b4e	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-2_1940-2011_rev01	None	None
60e29d8a-1bbf-438f-8731-01f9113f4734	None	EUNIS habitat type G3.4c distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4c_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/60e29d8a-1bbf-438f-8731-01f9113f4734	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-4c_1940-2011_rev01	None	None
71a56e1a-6316-4e15-8771-d09ffdc41171	None	EUNIS habitat type F5-4 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-4_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/71a56e1a-6316-4e15-8771-d09ffdc41171	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f5-4_1940-2011_rev01	None	None
ee301df0-509d-482a-a733-aeb5fa9b2807	None	EUNIS habitat type F9.2, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-2_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1234 Regularized training gain: 0.472 Unregularized training gain: 0.5897 Iterations: 500 Training AUC: 0.7945 #Test samples: 137 Test gain: 0.4925 Test AUC: 0.7679 AUC Standard Deviation: 0.0168 #Background points: 5798 bio_12_etrs2_ras contribution: 2.8352 bio_15_etrs2_ras contribution: 3.6013 bio_18_etrs2_ras contribution: 11.8177 bio_4_etrs2_ras contribution: 1.0261 bio_8_etrs2_ras contribution: 1.021 bld_m_sd1_1km_eu_ll contribution: 1.6898 cecsum_m_sd1_1km_eu_ll contribution: 0.2901 clyppt_m_sd1_1km_eu_ll contribution: 1.8138 crfvol_m_sd1_1km_eu_ll contribution: 31.0597 dist2water1km contribution: 1.0777 orcdrc_m_sd1_1km_eu_ll contribution: 1.153 pet_he_yr contribution: 5.1577 sltppt_m_sd1_1km_eu_ll contribution: 2.4878 sndppt_m_sd1_1km_eu_ll contribution: 2.8443 solar_1km contribution: 32.1247 bio_12_etrs2_ras permutation importance: 4.558 bio_15_etrs2_ras permutation importance: 5.6519 bio_18_etrs2_ras permutation importance: 11.506 bio_4_etrs2_ras permutation importance: 3.1255 bio_8_etrs2_ras permutation importance: 2.0508 bld_m_sd1_1km_eu_ll permutation importance: 5.028 cecsum_m_sd1_1km_eu_ll permutation importance: 0.8506 clyppt_m_sd1_1km_eu_ll permutation importance: 5.5312 crfvol_m_sd1_1km_eu_ll permutation importance: 23.9301 dist2water1km permutation importance: 1.1233 orcdrc_m_sd1_1km_eu_ll permutation importance: 1.8734 pet_he_yr permutation importance: 7.7424 sltppt_m_sd1_1km_eu_ll permutation importance: 2.8432 sndppt_m_sd1_1km_eu_ll permutation importance: 3.1127 solar_1km permutation importance: 21.0731 Training gain without bio_12_etrs2_ras: 0.466 Training gain without bio_15_etrs2_ras: 0.4594 Training gain without bio_18_etrs2_ras: 0.4605 Training gain without bio_4_etrs2_ras: 0.468 Training gain without bio_8_etrs2_ras: 0.4678 Training gain without bld_m_sd1_1km_eu_ll: 0.4665 Training gain without cecsum_m_sd1_1km_eu_ll: 0.4705 Training gain without clyppt_m_sd1_1km_eu_ll: 0.4667 Training gain without crfvol_m_sd1_1km_eu_ll: 0.4411 Training gain without dist2water1km: 0.4678 Training gain without orcdrc_m_sd1_1km_eu_ll: 0.4681 Training gain without pet_he_yr: 0.4585 Training gain without sltppt_m_sd1_1km_eu_ll: 0.4694 Training gain without sndppt_m_sd1_1km_eu_ll: 0.4687 Training gain without solar_1km: 0.445 Training gain with only bio_12_etrs2_ras: 0.1094 Training gain with only bio_15_etrs2_ras: 0.033 Training gain with only bio_18_etrs2_ras: 0.1928 Training gain with only bio_4_etrs2_ras: 0.0593 Training gain with only bio_8_etrs2_ras: 0.0847 Training gain with only bld_m_sd1_1km_eu_ll: 0.0798 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.1247 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.0173 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.2713 Training gain with only dist2water1km: 0.0341 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.0866 Training gain with only pet_he_yr: 0.1019 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.1146 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.0766 Training gain with only solar_1km: 0.2602 Test gain without bio_12_etrs2_ras: 0.4698 Test gain without bio_15_etrs2_ras: 0.4778 Test gain without bio_18_etrs2_ras: 0.4733 Test gain without bio_4_etrs2_ras: 0.4828 Test gain without bio_8_etrs2_ras: 0.482 Test gain without bld_m_sd1_1km_eu_ll: 0.511 Test gain without cecsum_m_sd1_1km_eu_ll: 0.495 Test gain without clyppt_m_sd1_1km_eu_ll: 0.4921 Test gain without crfvol_m_sd1_1km_eu_ll: 0.4835 Test gain without dist2water1km: 0.476 Test gain without orcdrc_m_sd1_1km_eu_ll: 0.4875 Test gain without pet_he_yr: 0.4828 Test gain without sltppt_m_sd1_1km_eu_ll: 0.485 Test gain without sndppt_m_sd1_1km_eu_ll: 0.4792 Test gain without solar_1km: 0.5002 Test gain with only bio_12_etrs2_ras: 0.1721 Test gain with only bio_15_etrs2_ras: 0.0342 Test gain with only bio_18_etrs2_ras: 0.229 Test gain with only bio_4_etrs2_ras: 0.0821 Test gain with only bio_8_etrs2_ras: 0.1543 Test gain with only bld_m_sd1_1km_eu_ll: 0.0971 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.1399 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.0329 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.2595 Test gain with only dist2water1km: 0.0712 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.0989 Test gain with only pet_he_yr: 0.1181 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.1319 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.116 Test gain with only solar_1km: 0.2465 AUC without bio_12_etrs2_ras: 0.7616 AUC without bio_15_etrs2_ras: 0.7637 AUC without bio_18_etrs2_ras: 0.7635 AUC without bio_4_etrs2_ras: 0.7654 AUC without bio_8_etrs2_ras: 0.7633 AUC without bld_m_sd1_1km_eu_ll: 0.7743 AUC without cecsum_m_sd1_1km_eu_ll: 0.7686 AUC without clyppt_m_sd1_1km_eu_ll: 0.768 AUC without crfvol_m_sd1_1km_eu_ll: 0.7692 AUC without dist2water1km: 0.762 AUC without orcdrc_m_sd1_1km_eu_ll: 0.7658 AUC without pet_he_yr: 0.767 AUC without sltppt_m_sd1_1km_eu_ll: 0.7641 AUC without sndppt_m_sd1_1km_eu_ll: 0.7642 AUC without solar_1km: 0.7702 AUC with only bio_12_etrs2_ras: 0.6604 AUC with only bio_15_etrs2_ras: 0.5555 AUC with only bio_18_etrs2_ras: 0.6796 AUC with only bio_4_etrs2_ras: 0.6188 AUC with only bio_8_etrs2_ras: 0.6718 AUC with only bld_m_sd1_1km_eu_ll: 0.5966 AUC with only cecsum_m_sd1_1km_eu_ll: 0.6361 AUC with only clyppt_m_sd1_1km_eu_ll: 0.5725 AUC with only crfvol_m_sd1_1km_eu_ll: 0.6815 AUC with only dist2water1km: 0.6108 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.6134 AUC with only pet_he_yr: 0.6106 AUC with only sltppt_m_sd1_1km_eu_ll: 0.6365 AUC with only sndppt_m_sd1_1km_eu_ll: 0.634 AUC with only solar_1km: 0.6787 Entropy: 8.1975 Prevalence (average of logistic output over background sites): 0.3091 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0747 Fixed cumulative value 1 area: 0.7585 Fixed cumulative value 1 training omission: 0.0049 Fixed cumulative value 1 test omission: 0.0146 Fixed cumulative value 1 binomial probability: 2.74E-10 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2263 Fixed cumulative value 5 area: 0.609 Fixed cumulative value 5 training omission: 0.0284 Fixed cumulative value 5 test omission: 0.073 Fixed cumulative value 5 binomial probability: 1.19E-14 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3038 Fixed cumulative value 10 area: 0.5233 Fixed cumulative value 10 training omission: 0.0583 Fixed cumulative value 10 test omission: 0.0949 Fixed cumulative value 10 binomial probability: 1.81E-19 Minimum training presence cumulative threshold: 0.0973 Minimum training presence logistic threshold: 0.0137 Minimum training presence area: 0.8974 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.78E-05 10 percentile training presence cumulative threshold: 15.8761 10 percentile training presence logistic threshold: 0.3701 10 percentile training presence area: 0.4514 10 percentile training presence training omission: 0.0997 10 percentile training presence test omission: 0.146 10 percentile training presence binomial probability: 1.39E-21 Equal training sensitivity and specificity cumulative threshold: 36.1342 Equal training sensitivity and specificity logistic threshold: 0.481 Equal training sensitivity and specificity area: 0.2832 Equal training sensitivity and specificity training omission: 0.2828 Equal training sensitivity and specificity test omission: 0.2847 Equal training sensitivity and specificity binomial probability: 1.52E-29 Maximum training sensitivity plus specificity cumulative threshold: 26.821 Maximum training sensitivity plus specificity logistic threshold: 0.4385 Maximum training sensitivity plus specificity area: 0.3513 Maximum training sensitivity plus specificity training omission: 0.1904 Maximum training sensitivity plus specificity test omission: 0.2482 Maximum training sensitivity plus specificity binomial probability: 4.64E-23 Equal test sensitivity and specificity cumulative threshold: 35.9049 Equal test sensitivity and specificity logistic threshold: 0.48 Equal test sensitivity and specificity area: 0.2848 Equal test sensitivity and specificity training omission: 0.2796 Equal test sensitivity and specificity test omission: 0.2847 Equal test sensitivity and specificity binomial probability: 2.95E-29 Maximum test sensitivity plus specificity cumulative threshold: 36.7815 Maximum test sensitivity plus specificity logistic threshold: 0.4832 Maximum test sensitivity plus specificity area: 0.2787 Maximum test sensitivity plus specificity training omission: 0.2869 Maximum test sensitivity plus specificity test omission: 0.2847 Maximum test sensitivity plus specificity binomial probability: 2.14E-30 Balance training omission, predicted area and threshold value cumulative threshold: 2.47 Balance training omission, predicted area and threshold value logistic threshold: 0.1364 Balance training omission, predicted area and threshold value area: 0.6787 Balance training omission, predicted area and threshold value training omission: 0.0089 Balance training omission, predicted area and threshold value test omission: 0.0219 Balance training omission, predicted area and threshold value binomial probability: 3.08E-14 Equate entropy of thresholded and original distributions cumulative threshold: 4.2318 Equate entropy of thresholded and original distributions logistic threshold: 0.2101 Equate entropy of thresholded and original distributions area: 0.6263 Equate entropy of thresholded and original distributions training omission: 0.0243 Equate entropy of thresholded and original distributions test omission: 0.0584 Equate entropy of thresholded and original distributions binomial probability: 1.18E-14	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee301df0-509d-482a-a733-aeb5fa9b2807	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f9-2_1940-2011_rev01	None	None
49e533f7-e7a0-4861-80c4-ec6e98d57bfa	None	EUNIS habitat type G2.6, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-6_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 140 Regularized training gain: 2.2742 Unregularized training gain: 2.644 Iterations: 500 Training AUC: 0.975 #Test samples: 15 Test gain: 2.1767 Test AUC: 0.9567 AUC Standard Deviation: 0.0112 #Background points: 10139 bio_12_etrs2_ras contribution: 1.481 bio_15_etrs2_ras contribution: 1.5128 bio_18_etrs2_ras contribution: 3.1735 bio_4_etrs2_ras contribution: 57.3421 bio_8_etrs2_ras contribution: 14.5124 dist2water1km contribution: 0.1179 pet_he_yr contribution: 19.9521 soil_ph contribution: 0.3936 solar_1km contribution: 1.5147 bio_12_etrs2_ras permutation importance: 4.2909 bio_15_etrs2_ras permutation importance: 10.3437 bio_18_etrs2_ras permutation importance: 15.3893 bio_4_etrs2_ras permutation importance: 44.8665 bio_8_etrs2_ras permutation importance: 9.9109 dist2water1km permutation importance: 0.0855 pet_he_yr permutation importance: 14.1141 soil_ph permutation importance: 0.2741 solar_1km permutation importance: 0.725 Entropy: 6.9853 Prevalence (average of logistic output over background sites): 0.0517 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0172 Fixed cumulative value 1 area: 0.2204 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.41E-10 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0913 Fixed cumulative value 5 area: 0.1234 Fixed cumulative value 5 training omission: 0.0143 Fixed cumulative value 5 test omission: 0.0667 Fixed cumulative value 5 binomial probability: 2.52E-12 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.224 Fixed cumulative value 10 area: 0.0946 Fixed cumulative value 10 training omission: 0.0286 Fixed cumulative value 10 test omission: 0.1333 Fixed cumulative value 10 binomial probability: 4.24E-12 Minimum training presence cumulative threshold: 1.3596 Minimum training presence logistic threshold: 0.0235 Minimum training presence area: 0.2022 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.86E-11 10 percentile training presence cumulative threshold: 22.2207 10 percentile training presence logistic threshold: 0.3577 10 percentile training presence area: 0.0632 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.2667 10 percentile training presence binomial probability: 6.93E-11 Equal training sensitivity and specificity cumulative threshold: 19.1369 Equal training sensitivity and specificity logistic threshold: 0.3338 Equal training sensitivity and specificity area: 0.0695 Equal training sensitivity and specificity training omission: 0.0714 Equal training sensitivity and specificity test omission: 0.1333 Equal training sensitivity and specificity binomial probability: 8.16E-14 Maximum training sensitivity plus specificity cumulative threshold: 11.3366 Maximum training sensitivity plus specificity logistic threshold: 0.2459 Maximum training sensitivity plus specificity area: 0.09 Maximum training sensitivity plus specificity training omission: 0.0286 Maximum training sensitivity plus specificity test omission: 0.1333 Maximum training sensitivity plus specificity binomial probability: 2.26E-12 Equal test sensitivity and specificity cumulative threshold: 6.4218 Equal test sensitivity and specificity logistic threshold: 0.1369 Equal test sensitivity and specificity area: 0.1115 Equal test sensitivity and specificity training omission: 0.0214 Equal test sensitivity and specificity test omission: 0.1333 Equal test sensitivity and specificity binomial probability: 3.49E-11 Maximum test sensitivity plus specificity cumulative threshold: 2.7176 Maximum test sensitivity plus specificity logistic threshold: 0.0446 Maximum test sensitivity plus specificity area: 0.1592 Maximum test sensitivity plus specificity training omission: 0.0071 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.07E-12 Balance training omission, predicted area and threshold value cumulative threshold: 1.3596 Balance training omission, predicted area and threshold value logistic threshold: 0.0235 Balance training omission, predicted area and threshold value area: 0.2022 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 3.86E-11 Equate entropy of thresholded and original distributions cumulative threshold: 7.2558 Equate entropy of thresholded and original distributions logistic threshold: 0.1631 Equate entropy of thresholded and original distributions area: 0.1065 Equate entropy of thresholded and original distributions training omission: 0.0214 Equate entropy of thresholded and original distributions test omission: 0.1333 Equate entropy of thresholded and original distributions binomial probability: 1.94E-11	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/49e533f7-e7a0-4861-80c4-ec6e98d57bfa	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g2-6_1940-2011_rev01	None	None
a5ceb14d-be95-475f-9dcb-6ae6bb2b7676	None	EUNIS habitat type G1.2, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-2_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 2920 Regularized training gain: 0.4176 Unregularized training gain: 0.4819 Iterations: 500 Training AUC: 0.7676 #Test samples: 324 Test gain: 0.4149 Test AUC: 0.7524 AUC Standard Deviation: 0.0123 #Background points: 12479 bio_12_etrs2_ras contribution: 4.4875 bio_15_etrs2_ras contribution: 1.0157 bio_18_etrs2_ras contribution: 31.0573 bio_4_etrs2_ras contribution: 5.8461 bio_8_etrs2_ras contribution: 5.4082 dist2water1km contribution: 0.929 pet_he_yr contribution: 5.0005 soil_ph contribution: 1.7308 solar_1km contribution: 44.5248 bio_12_etrs2_ras permutation importance: 20.9707 bio_15_etrs2_ras permutation importance: 2.1819 bio_18_etrs2_ras permutation importance: 26.6328 bio_4_etrs2_ras permutation importance: 15.4539 bio_8_etrs2_ras permutation importance: 4.9336 dist2water1km permutation importance: 0.768 pet_he_yr permutation importance: 2.4987 soil_ph permutation importance: 1.6799 solar_1km permutation importance: 24.8805 Training gain without bio_12_etrs2_ras: 0.4051 Training gain without bio_15_etrs2_ras: 0.4129 Training gain without bio_18_etrs2_ras: 0.3829 Training gain without bio_4_etrs2_ras: 0.3947 Training gain without bio_8_etrs2_ras: 0.4121 Training gain without dist2water1km: 0.4148 Training gain without pet_he_yr: 0.4136 Training gain without soil_ph: 0.4113 Training gain without solar_1km: 0.3732 Training gain with only bio_12_etrs2_ras: 0.0961 Training gain with only bio_15_etrs2_ras: 0.0331 Training gain with only bio_18_etrs2_ras: 0.2175 Training gain with only bio_4_etrs2_ras: 0.0597 Training gain with only bio_8_etrs2_ras: 0.1579 Training gain with only dist2water1km: 0.0184 Training gain with only pet_he_yr: 0.0814 Training gain with only soil_ph: 0.0166 Training gain with only solar_1km: 0.2315 Test gain without bio_12_etrs2_ras: 0.3945 Test gain without bio_15_etrs2_ras: 0.411 Test gain without bio_18_etrs2_ras: 0.3891 Test gain without bio_4_etrs2_ras: 0.4046 Test gain without bio_8_etrs2_ras: 0.4117 Test gain without dist2water1km: 0.4119 Test gain without pet_he_yr: 0.4053 Test gain without soil_ph: 0.4069 Test gain without solar_1km: 0.3669 Test gain with only bio_12_etrs2_ras: 0.107 Test gain with only bio_15_etrs2_ras: 0.0533 Test gain with only bio_18_etrs2_ras: 0.2085 Test gain with only bio_4_etrs2_ras: 0.053 Test gain with only bio_8_etrs2_ras: 0.157 Test gain with only dist2water1km: 0.0235 Test gain with only pet_he_yr: 0.0979 Test gain with only soil_ph: 0.018 Test gain with only solar_1km: 0.2364 AUC without bio_12_etrs2_ras: 0.7485 AUC without bio_15_etrs2_ras: 0.7515 AUC without bio_18_etrs2_ras: 0.7455 AUC without bio_4_etrs2_ras: 0.7513 AUC without bio_8_etrs2_ras: 0.7509 AUC without dist2water1km: 0.7518 AUC without pet_he_yr: 0.7488 AUC without soil_ph: 0.7501 AUC without solar_1km: 0.7402 AUC with only bio_12_etrs2_ras: 0.6363 AUC with only bio_15_etrs2_ras: 0.5753 AUC with only bio_18_etrs2_ras: 0.6826 AUC with only bio_4_etrs2_ras: 0.58 AUC with only bio_8_etrs2_ras: 0.6588 AUC with only dist2water1km: 0.5504 AUC with only pet_he_yr: 0.6199 AUC with only soil_ph: 0.5528 AUC with only solar_1km: 0.6876 Entropy: 9.0145 Prevalence (average of logistic output over background sites): 0.3252 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0691 Fixed cumulative value 1 area: 0.8021 Fixed cumulative value 1 training omission: 0.0062 Fixed cumulative value 1 test omission: 0.0185 Fixed cumulative value 1 binomial probability: 2.69E-16 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2225 Fixed cumulative value 5 area: 0.6459 Fixed cumulative value 5 training omission: 0.0387 Fixed cumulative value 5 test omission: 0.0648 Fixed cumulative value 5 binomial probability: 6.53E-28 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3073 Fixed cumulative value 10 area: 0.555 Fixed cumulative value 10 training omission: 0.0832 Fixed cumulative value 10 test omission: 0.1235 Fixed cumulative value 10 binomial probability: 1.20E-31 Minimum training presence cumulative threshold: 0.0083 Minimum training presence logistic threshold: 0.0063 Minimum training presence area: 0.9854 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.43E-02 10 percentile training presence cumulative threshold: 11.9852 10 percentile training presence logistic threshold: 0.3296 10 percentile training presence area: 0.527 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.1327 10 percentile training presence binomial probability: 6.85E-35 Equal training sensitivity and specificity cumulative threshold: 34.7848 Equal training sensitivity and specificity logistic threshold: 0.467 Equal training sensitivity and specificity area: 0.3049 Equal training sensitivity and specificity training omission: 0.3048 Equal training sensitivity and specificity test omission: 0.3148 Equal training sensitivity and specificity binomial probability: 2.65E-50 Maximum training sensitivity plus specificity cumulative threshold: 29.9538 Maximum training sensitivity plus specificity logistic threshold: 0.4459 Maximum training sensitivity plus specificity area: 0.3428 Maximum training sensitivity plus specificity training omission: 0.2579 Maximum training sensitivity plus specificity test omission: 0.2809 Maximum training sensitivity plus specificity binomial probability: 1.66E-46 Equal test sensitivity and specificity cumulative threshold: 33.8958 Equal test sensitivity and specificity logistic threshold: 0.4637 Equal test sensitivity and specificity area: 0.3117 Equal test sensitivity and specificity training omission: 0.2945 Equal test sensitivity and specificity test omission: 0.3117 Equal test sensitivity and specificity binomial probability: 8.68E-49 Maximum test sensitivity plus specificity cumulative threshold: 37.3613 Maximum test sensitivity plus specificity logistic threshold: 0.4783 Maximum test sensitivity plus specificity area: 0.286 Maximum test sensitivity plus specificity training omission: 0.3257 Maximum test sensitivity plus specificity test omission: 0.3241 Maximum test sensitivity plus specificity binomial probability: 1.06E-54 Balance training omission, predicted area and threshold value cumulative threshold: 1.3525 Balance training omission, predicted area and threshold value logistic threshold: 0.0904 Balance training omission, predicted area and threshold value area: 0.7752 Balance training omission, predicted area and threshold value training omission: 0.0086 Balance training omission, predicted area and threshold value test omission: 0.0216 Balance training omission, predicted area and threshold value binomial probability: 9.69E-19 Equate entropy of thresholded and original distributions cumulative threshold: 4.4583 Equate entropy of thresholded and original distributions logistic threshold: 0.2099 Equate entropy of thresholded and original distributions area: 0.6588 Equate entropy of thresholded and original distributions training omission: 0.0349 Equate entropy of thresholded and original distributions test omission: 0.0617 Equate entropy of thresholded and original distributions binomial probability: 1.33E-26	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5ceb14d-be95-475f-9dcb-6ae6bb2b7676	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-2_1940-2011_rev01	None	None
df7a575c-97af-41c4-92a1-a4b4104488d8	None	EUNIS habitat type F4-1 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-1_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/df7a575c-97af-41c4-92a1-a4b4104488d8	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f4-1_1940-2011_rev01	None	None
6a01654d-43ff-4c0c-acc0-2bc5063367e0	None	EUNIS habitat type F4.2, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-2_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 2835 Regularized training gain: 0.591 Unregularized training gain: 0.627 Iterations: 500 Training AUC: 0.7839 #Test samples: 314 Test gain: 0.6079 Test AUC: 0.7792 AUC Standard Deviation: 0.0091 #Background points: 7833 bio_12_etrs2_ras contribution: 3.1502 bio_15_etrs2_ras contribution: 1.5042 bio_18_etrs2_ras contribution: 0.1225 bio_4_etrs2_ras contribution: 72.1137 bio_8_etrs2_ras contribution: 0.0238 bld_m_sd1_1km_eu_ll contribution: 0.3832 cecsum_m_sd1_1km_eu_ll contribution: 0.0446 clyppt_m_sd1_1km_eu_ll contribution: 0.4387 crfvol_m_sd1_1km_eu_ll contribution: 0.432 dist2water1km contribution: 0.0888 orcdrc_m_sd1_1km_eu_ll contribution: 0.2058 pet_he_yr contribution: 9.17 phihox_m_sd1_1km_eu_ll contribution: 11.3945 sltppt_m_sd1_1km_eu_ll contribution: 0.2384 sndppt_m_sd1_1km_eu_ll contribution: 0.3866 solar_1km contribution: 0.303 bio_12_etrs2_ras permutation importance: 0.117 bio_15_etrs2_ras permutation importance: 2.2851 bio_18_etrs2_ras permutation importance: 0.4573 bio_4_etrs2_ras permutation importance: 71.4457 bio_8_etrs2_ras permutation importance: 0.1852 bld_m_sd1_1km_eu_ll permutation importance: 0.9947 cecsum_m_sd1_1km_eu_ll permutation importance: 0.3459 clyppt_m_sd1_1km_eu_ll permutation importance: 2.6969 crfvol_m_sd1_1km_eu_ll permutation importance: 3.1712 dist2water1km permutation importance: 0.3246 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.8905 pet_he_yr permutation importance: 9.1033 phihox_m_sd1_1km_eu_ll permutation importance: 5.9395 sltppt_m_sd1_1km_eu_ll permutation importance: 0.5438 sndppt_m_sd1_1km_eu_ll permutation importance: 0.8147 solar_1km permutation importance: 0.6845 Entropy: 8.3765 Prevalence (average of logistic output over background sites): 0.2728 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.052 Fixed cumulative value 1 area: 0.6314 Fixed cumulative value 1 training omission: 0.0056 Fixed cumulative value 1 test omission: 0.0064 Fixed cumulative value 1 binomial probability: 1.09E-40 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2581 Fixed cumulative value 5 area: 0.5084 Fixed cumulative value 5 training omission: 0.0325 Fixed cumulative value 5 test omission: 0.0446 Fixed cumulative value 5 binomial probability: 7.52E-57 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3458 Fixed cumulative value 10 area: 0.4449 Fixed cumulative value 10 training omission: 0.0832 Fixed cumulative value 10 test omission: 0.0924 Fixed cumulative value 10 binomial probability: 1.85E-61 Minimum training presence cumulative threshold: 0.0102 Minimum training presence logistic threshold: 0.0022 Minimum training presence area: 0.9515 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.15E-05 10 percentile training presence cumulative threshold: 11.8784 10 percentile training presence logistic threshold: 0.3692 10 percentile training presence area: 0.4261 10 percentile training presence training omission: 0.0998 10 percentile training presence test omission: 0.1019 10 percentile training presence binomial probability: 1.86E-64 Equal training sensitivity and specificity cumulative threshold: 30.6404 Equal training sensitivity and specificity logistic threshold: 0.4914 Equal training sensitivity and specificity area: 0.293 Equal training sensitivity and specificity training omission: 0.2928 Equal training sensitivity and specificity test omission: 0.3217 Equal training sensitivity and specificity binomial probability: 3.50E-51 Maximum training sensitivity plus specificity cumulative threshold: 13.9208 Maximum training sensitivity plus specificity logistic threshold: 0.3895 Maximum training sensitivity plus specificity area: 0.4076 Maximum training sensitivity plus specificity training omission: 0.1175 Maximum training sensitivity plus specificity test omission: 0.1146 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 28.9913 Equal test sensitivity and specificity logistic threshold: 0.4849 Equal test sensitivity and specificity area: 0.3026 Equal test sensitivity and specificity training omission: 0.2751 Equal test sensitivity and specificity test omission: 0.3025 Equal test sensitivity and specificity binomial probability: 1.07E-52 Maximum test sensitivity plus specificity cumulative threshold: 15.2009 Maximum test sensitivity plus specificity logistic threshold: 0.4009 Maximum test sensitivity plus specificity area: 0.3968 Maximum test sensitivity plus specificity training omission: 0.1309 Maximum test sensitivity plus specificity test omission: 0.1146 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.4311 Balance training omission, predicted area and threshold value logistic threshold: 0.0865 Balance training omission, predicted area and threshold value area: 0.5981 Balance training omission, predicted area and threshold value training omission: 0.0074 Balance training omission, predicted area and threshold value test omission: 0.0127 Balance training omission, predicted area and threshold value binomial probability: 3.12E-45 Equate entropy of thresholded and original distributions cumulative threshold: 2.6363 Equate entropy of thresholded and original distributions logistic threshold: 0.1806 Equate entropy of thresholded and original distributions area: 0.5544 Equate entropy of thresholded and original distributions training omission: 0.0138 Equate entropy of thresholded and original distributions test omission: 0.0159 Equate entropy of thresholded and original distributions binomial probability: 2.94E-53	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6a01654d-43ff-4c0c-acc0-2bc5063367e0	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f4-2_1940-2011_rev01	None	None
c6cfaf0c-b6c3-4070-aee6-258ba51b3a41	None	EUNIS habitat type F9-3 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-3_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6cfaf0c-b6c3-4070-aee6-258ba51b3a41	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f9-3_1940-2011_rev01	None	None
6c2ff059-3e88-4d8d-b8f7-db55dada2b9c	None	EUNIS habitat type F4-2 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F4-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c2ff059-3e88-4d8d-b8f7-db55dada2b9c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f4-2_1940-2011_rev01	None	None
010b7d32-9779-4336-b3f4-18181bebbd51	None	EUNIS habitat type G1.3 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-3_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/010b7d32-9779-4336-b3f4-18181bebbd51	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-3_1940-2011_rev01	None	None
13780f38-1177-4e68-b900-1baef89272a0	None	Urban Morphological Zones Changes 2000-2006 (vector) - version 16, Jun. 2013	None	None	None	None	None	Changes between UMZs in 2000 and UMZs in 2006 using CLC version 16. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).	https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-changes	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/13780f38-1177-4e68-b900-1baef89272a0.png	EPSG:3035	2019-06-05	None	Land cover	population|social aspects|urban environment|urban stress	vector	SHP|SQLite	None	1:100000	None	The methodology described below for changes between 1990 and 2000 applies by analogy to changes between 2000 and 2006. UMZ Changes have been calculated as well, by unioning both UMZ90 and UMZ00 and looking for those polygons existing only in one year (i.e. 1990 or 2000). Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000). Only countries with CLC in both years have changes in UMZ Steps to follow: 1. Create a file geodatabase to keep the geometries 2. Union UMZ 1990 – 2000. Output:UMZ90_00_Full 3. Select ( "FID_UMZ1990" = -1 OR "FID_UMZ2000" = -1) 4. Export the selection. Output:UMZ90_00_FULL_select.shp 5. Selection of the real changes. Erasing a. Select the countries with NO CLC in both years (90-00 and 00-06) from a NUTS0 Layer (as accurate as possible) selected_countries.shp b. Clip UMZ90_00_FULL_select.shp + selected_countries.shp  Output: Changes_90_00.shp c. Manually work to remove the changes belonging to the selected countries. Small feature classes are left in these countries due to not perfect overlay among layers (NUTS0 and CLC) mainly in the coastal areas 6. Add and Calculate the Field “Area_ha” 7. Add a new field name “Change” type = Text with length = 1 to Change_90_00.shp 8. Delete unnecessary fields 9. Select “UMZ90_ID” = 0 and Calculate Value for “Change” = + . This means Urban Sprawl 10.Select “UMZ00_ID” = - 1 and Calculate Value for “Change” = - . This means Reduction of Urban Areas 11.Select “UMZ00_ID” <> - 1 and “UMZ90_ID” <> 0 and Calculate Value for “Change” = 0. This means no changes of Urban Areas The complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/13780f38-1177-4e68-b900-1baef89272a0	2000	2006	TRUE	Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz-changes_2000-2006_rev16	None	None
96750fc4-7ecc-438e-a8ce-bf045e5780ea	None	Urban Morphological Zones 1990 (vector) - version 16, Jun. 2013	None	None	None	None	None	An urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.	https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-1990-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/96750fc4-7ecc-438e-a8ce-bf045e5780ea.png	EPSG:3035	2019-06-05	None	Land cover	population|social aspects|urban environment|urban stress	vector	SHP|SQLite	None	1:100000	None	An Urban Morphological Zone can be defined as “A set of urban areas laying less than 200m apart”. Those urban areas are defined from land cover classes contributing to the urban tissue and function. The Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones: • Core Classes o 111 – Continuous urban fabric o 112 – Discontinuous urban fabric o 121 – Industrial or commercial units o 141 – Green urban areas • Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes. • Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties. • Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact. • Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes. The complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/96750fc4-7ecc-438e-a8ce-bf045e5780ea	1990	1990	FALSE	Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_1990_rev16	None	None
8ab00854-d08f-43b1-b78f-447ce13857d1	None	Urban Morphological Zones 2006 (vector) - version 16, Jun. 2013	None	None	None	None	None	An urban morphological zone (UMZ) is defined as a "set of urban areas laying less than 200 m apart". This layer contains UMZ delineations for Europe, based on Corine Land Cover database. During 2012, the UMZ methodology was updated in order to correct errors derived for the water course as join elements between urban areas. Previous version applied over CLC v15 (and previous version) joined many small urban areas due to the water presence. This fact was erroneous from the landscape and urban perspective as most of those areas remain as urban-rural typologies. Moreover, water courses cannot be considered as roads from the urban morphological view (either from the commuting point of understanding). This new version, known as v16, corrected this effect in the majority of cases.	https://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2006-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8ab00854-d08f-43b1-b78f-447ce13857d1.png	EPSG:3035	2019-06-05	None	Land cover	population|social aspects|urban environment|urban stress	vector	SHP|SQLite	None	1:100000	None	An Urban Morphological Zone can be defined as “A set of urban areas laying less than 200m apart”. Those urban areas are defined from land cover classes contributing to the urban tissue and function. The Corine Land Cover classes (Figure 1) used to build the Urban Morphological Zone dataset are the following ones: • Core Classes o 111 – Continuous urban fabric o 112 – Discontinuous urban fabric o 121 – Industrial or commercial units o 141 – Green urban areas • Enlarged core classes, CLC Classes 123 (Port areas), 124 (Airports) and 142 (Sport and leisure facilities), are also considered if they are neighbours to the core classes or to one of them touching the core classes. • Road and rail networks, CLC class 122 when neighbours to the enlarged core classes, roads and rails will be included (cut by 300m buffer) as part of the UMZ due to their artificial nature and connectivity properties. • Water courses, CLC class 511, when neighbours to the enlarged core classes and acting as a link between them, they are selected by this fact. • Forests & scrub, CLC classes 311,312,313,322,323,324, when they are completely within the core classes. The complete methodology is described in the document RpD_UMZ_Methodology_f3.0.pdf which is stored in the same folder as the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ab00854-d08f-43b1-b78f-447ce13857d1	2006	2006	FALSE	Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Germany|Hungary|Iceland|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_2006_rev16	None	None
c63f9414-934b-43b3-84d8-f800496469b2	None	EUNIS habitat type F5-3 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-3_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c63f9414-934b-43b3-84d8-f800496469b2	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f5-3_1940-2011_rev01	None	None
d88f79f9-3de7-45fd-b06d-5378697cb271	None	EUNIS habitat type G3.A distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-A_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d88f79f9-3de7-45fd-b06d-5378697cb271	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-a_1940-2011_rev01	None	None
f752152f-2793-4b55-b34f-e4810ae45eff	None	EUNIS habitat type G3.4a, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4a_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1709 Regularized training gain: 0.5583 Unregularized training gain: 0.6435 Iterations: 500 Training AUC: 0.8068 #Test samples: 189 Test gain: 0.5895 Test AUC: 0.7929 AUC Standard Deviation: 0.0152 #Background points: 11357 bio_12_etrs2_ras contribution: 21.6615 bio_15_etrs2_ras contribution: 1.8676 bio_18_etrs2_ras contribution: 13.583 bio_4_etrs2_ras contribution: 4.9024 bio_8_etrs2_ras contribution: 15.5528 dist2water1km contribution: 0.11 pet_he_yr contribution: 23.9712 soil_ph contribution: 16.9529 solar_1km contribution: 1.3987 bio_12_etrs2_ras permutation importance: 20.3085 bio_15_etrs2_ras permutation importance: 6.2033 bio_18_etrs2_ras permutation importance: 17.9911 bio_4_etrs2_ras permutation importance: 12.4366 bio_8_etrs2_ras permutation importance: 4.3078 dist2water1km permutation importance: 0.2731 pet_he_yr permutation importance: 28.2613 soil_ph permutation importance: 8.931 solar_1km permutation importance: 1.2874 Training gain without bio_12_etrs2_ras: 0.5443 Training gain without bio_15_etrs2_ras: 0.5465 Training gain without bio_18_etrs2_ras: 0.5433 Training gain without bio_4_etrs2_ras: 0.5302 Training gain without bio_8_etrs2_ras: 0.55 Training gain without dist2water1km: 0.5575 Training gain without pet_he_yr: 0.5181 Training gain without soil_ph: 0.5167 Training gain without solar_1km: 0.5532 Training gain with only bio_12_etrs2_ras: 0.1791 Training gain with only bio_15_etrs2_ras: 0.0633 Training gain with only bio_18_etrs2_ras: 0.2369 Training gain with only bio_4_etrs2_ras: 0.107 Training gain with only bio_8_etrs2_ras: 0.2118 Training gain with only dist2water1km: 0.0115 Training gain with only pet_he_yr: 0.2405 Training gain with only soil_ph: 0.1483 Training gain with only solar_1km: 0.1471 Test gain without bio_12_etrs2_ras: 0.5748 Test gain without bio_15_etrs2_ras: 0.5583 Test gain without bio_18_etrs2_ras: 0.5767 Test gain without bio_4_etrs2_ras: 0.5436 Test gain without bio_8_etrs2_ras: 0.5845 Test gain without dist2water1km: 0.5938 Test gain without pet_he_yr: 0.5629 Test gain without soil_ph: 0.5232 Test gain without solar_1km: 0.5956 Test gain with only bio_12_etrs2_ras: 0.1562 Test gain with only bio_15_etrs2_ras: 0.0871 Test gain with only bio_18_etrs2_ras: 0.2374 Test gain with only bio_4_etrs2_ras: 0.1354 Test gain with only bio_8_etrs2_ras: 0.2268 Test gain with only dist2water1km: 0.0099 Test gain with only pet_he_yr: 0.2288 Test gain with only soil_ph: 0.1865 Test gain with only solar_1km: 0.1262 AUC without bio_12_etrs2_ras: 0.7903 AUC without bio_15_etrs2_ras: 0.7863 AUC without bio_18_etrs2_ras: 0.7911 AUC without bio_4_etrs2_ras: 0.7808 AUC without bio_8_etrs2_ras: 0.7909 AUC without dist2water1km: 0.7939 AUC without pet_he_yr: 0.7863 AUC without soil_ph: 0.7782 AUC without solar_1km: 0.7946 AUC with only bio_12_etrs2_ras: 0.6633 AUC with only bio_15_etrs2_ras: 0.6139 AUC with only bio_18_etrs2_ras: 0.6804 AUC with only bio_4_etrs2_ras: 0.6436 AUC with only bio_8_etrs2_ras: 0.6854 AUC with only dist2water1km: 0.5118 AUC with only pet_he_yr: 0.6833 AUC with only soil_ph: 0.6667 AUC with only solar_1km: 0.6621 Entropy: 8.781 Prevalence (average of logistic output over background sites): 0.2823 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0696 Fixed cumulative value 1 area: 0.8088 Fixed cumulative value 1 training omission: 0.0094 Fixed cumulative value 1 test omission: 0.0159 Fixed cumulative value 1 binomial probability: 4.44E-10 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1631 Fixed cumulative value 5 area: 0.6304 Fixed cumulative value 5 training omission: 0.038 Fixed cumulative value 5 test omission: 0.0582 Fixed cumulative value 5 binomial probability: 3.73E-19 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2415 Fixed cumulative value 10 area: 0.5171 Fixed cumulative value 10 training omission: 0.0772 Fixed cumulative value 10 test omission: 0.1111 Fixed cumulative value 10 binomial probability: 7.44E-25 Minimum training presence cumulative threshold: 0.0194 Minimum training presence logistic threshold: 0.0061 Minimum training presence area: 0.9569 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.75E-03 10 percentile training presence cumulative threshold: 13.3642 10 percentile training presence logistic threshold: 0.2785 10 percentile training presence area: 0.4624 10 percentile training presence training omission: 0.0995 10 percentile training presence test omission: 0.1323 10 percentile training presence binomial probability: 2.63E-29 Equal training sensitivity and specificity cumulative threshold: 31.7862 Equal training sensitivity and specificity logistic threshold: 0.4178 Equal training sensitivity and specificity area: 0.2668 Equal training sensitivity and specificity training omission: 0.2668 Equal training sensitivity and specificity test omission: 0.2698 Equal training sensitivity and specificity binomial probability: 2.48E-47 Maximum training sensitivity plus specificity cumulative threshold: 23.3077 Maximum training sensitivity plus specificity logistic threshold: 0.364 Maximum training sensitivity plus specificity area: 0.3425 Maximum training sensitivity plus specificity training omission: 0.1802 Maximum training sensitivity plus specificity test omission: 0.2063 Maximum training sensitivity plus specificity binomial probability: 2.47E-39 Equal test sensitivity and specificity cumulative threshold: 31.4235 Equal test sensitivity and specificity logistic threshold: 0.4163 Equal test sensitivity and specificity area: 0.2697 Equal test sensitivity and specificity training omission: 0.2633 Equal test sensitivity and specificity test omission: 0.2698 Equal test sensitivity and specificity binomial probability: 1.84E-46 Maximum test sensitivity plus specificity cumulative threshold: 29.0965 Maximum test sensitivity plus specificity logistic threshold: 0.4022 Maximum test sensitivity plus specificity area: 0.2889 Maximum test sensitivity plus specificity training omission: 0.2405 Maximum test sensitivity plus specificity test omission: 0.2381 Maximum test sensitivity plus specificity binomial probability: 5.56E-47 Balance training omission, predicted area and threshold value cumulative threshold: 1.9181 Balance training omission, predicted area and threshold value logistic threshold: 0.0968 Balance training omission, predicted area and threshold value area: 0.751 Balance training omission, predicted area and threshold value training omission: 0.0158 Balance training omission, predicted area and threshold value test omission: 0.0317 Balance training omission, predicted area and threshold value binomial probability: 2.47E-12 Equate entropy of thresholded and original distributions cumulative threshold: 7.2363 Equate entropy of thresholded and original distributions logistic threshold: 0.2006 Equate entropy of thresholded and original distributions area: 0.5731 Equate entropy of thresholded and original distributions training omission: 0.0632 Equate entropy of thresholded and original distributions test omission: 0.0899 Equate entropy of thresholded and original distributions binomial probability: 3.82E-21	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f752152f-2793-4b55-b34f-e4810ae45eff	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-4a_1940-2011_rev01	None	None
fd05c41f-ea5d-4493-a983-c92e0f3e717f	None	EUNIS habitat type G1.A, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-A_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 4750 Regularized training gain: 0.2383 Unregularized training gain: 0.2735 Iterations: 500 Training AUC: 0.6966 #Test samples: 527 Test gain: 0.2587 Test AUC: 0.6903 AUC Standard Deviation: 0.0099 #Background points: 14305 bio_12_etrs2_ras contribution: 6.7515 bio_15_etrs2_ras contribution: 2.7453 bio_18_etrs2_ras contribution: 48.869 bio_4_etrs2_ras contribution: 6.2496 bio_8_etrs2_ras contribution: 11.6554 dist2water1km contribution: 0.0829 pet_he_yr contribution: 7.685 soil_ph contribution: 2.5529 solar_1km contribution: 13.4084 bio_12_etrs2_ras permutation importance: 24.9682 bio_15_etrs2_ras permutation importance: 5.5377 bio_18_etrs2_ras permutation importance: 42.6219 bio_4_etrs2_ras permutation importance: 5.0682 bio_8_etrs2_ras permutation importance: 2.2636 dist2water1km permutation importance: 0.2125 pet_he_yr permutation importance: 8.127 soil_ph permutation importance: 2.3177 solar_1km permutation importance: 8.8832 Training gain without bio_12_etrs2_ras: 0.2242 Training gain without bio_15_etrs2_ras: 0.2314 Training gain without bio_18_etrs2_ras: 0.2004 Training gain without bio_4_etrs2_ras: 0.2318 Training gain without bio_8_etrs2_ras: 0.2367 Training gain without dist2water1km: 0.2379 Training gain without pet_he_yr: 0.2266 Training gain without soil_ph: 0.2336 Training gain without solar_1km: 0.2293 Training gain with only bio_12_etrs2_ras: 0.0342 Training gain with only bio_15_etrs2_ras: 0.033 Training gain with only bio_18_etrs2_ras: 0.132 Training gain with only bio_4_etrs2_ras: 0.0642 Training gain with only bio_8_etrs2_ras: 0.099 Training gain with only dist2water1km: 0.006 Training gain with only pet_he_yr: 0.0838 Training gain with only soil_ph: 0.0189 Training gain with only solar_1km: 0.0579 Test gain without bio_12_etrs2_ras: 0.2428 Test gain without bio_15_etrs2_ras: 0.247 Test gain without bio_18_etrs2_ras: 0.2302 Test gain without bio_4_etrs2_ras: 0.255 Test gain without bio_8_etrs2_ras: 0.2546 Test gain without dist2water1km: 0.2591 Test gain without pet_he_yr: 0.2492 Test gain without soil_ph: 0.255 Test gain without solar_1km: 0.2527 Test gain with only bio_12_etrs2_ras: 0.0349 Test gain with only bio_15_etrs2_ras: 0.0369 Test gain with only bio_18_etrs2_ras: 0.1456 Test gain with only bio_4_etrs2_ras: 0.0768 Test gain with only bio_8_etrs2_ras: 0.1472 Test gain with only dist2water1km: 0.007 Test gain with only pet_he_yr: 0.0862 Test gain with only soil_ph: 0.0095 Test gain with only solar_1km: 0.0542 AUC without bio_12_etrs2_ras: 0.6858 AUC without bio_15_etrs2_ras: 0.687 AUC without bio_18_etrs2_ras: 0.6829 AUC without bio_4_etrs2_ras: 0.6892 AUC without bio_8_etrs2_ras: 0.6883 AUC without dist2water1km: 0.6904 AUC without pet_he_yr: 0.6859 AUC without soil_ph: 0.6882 AUC without solar_1km: 0.6897 AUC with only bio_12_etrs2_ras: 0.5711 AUC with only bio_15_etrs2_ras: 0.5508 AUC with only bio_18_etrs2_ras: 0.6282 AUC with only bio_4_etrs2_ras: 0.6116 AUC with only bio_8_etrs2_ras: 0.6539 AUC with only dist2water1km: 0.5509 AUC with only pet_he_yr: 0.601 AUC with only soil_ph: 0.5484 AUC with only solar_1km: 0.5868 Entropy: 9.3326 Prevalence (average of logistic output over background sites): 0.3921 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.148 Fixed cumulative value 1 area: 0.8533 Fixed cumulative value 1 training omission: 0.0076 Fixed cumulative value 1 test omission: 0.0114 Fixed cumulative value 1 binomial probability: 8.30E-19 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2831 Fixed cumulative value 5 area: 0.7442 Fixed cumulative value 5 training omission: 0.0307 Fixed cumulative value 5 test omission: 0.0285 Fixed cumulative value 5 binomial probability: 2.85E-33 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3575 Fixed cumulative value 10 area: 0.6617 Fixed cumulative value 10 training omission: 0.0762 Fixed cumulative value 10 test omission: 0.0778 Fixed cumulative value 10 binomial probability: 6.25E-37 Minimum training presence cumulative threshold: 0.0109 Minimum training presence logistic threshold: 0.0126 Minimum training presence area: 0.989 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 7.63E-03 10 percentile training presence cumulative threshold: 12.2994 10 percentile training presence logistic threshold: 0.3777 10 percentile training presence area: 0.6303 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.1006 10 percentile training presence binomial probability: 8.49E-38 Equal training sensitivity and specificity cumulative threshold: 38.7394 Equal training sensitivity and specificity logistic threshold: 0.492 Equal training sensitivity and specificity area: 0.3648 Equal training sensitivity and specificity training omission: 0.3648 Equal training sensitivity and specificity test omission: 0.4004 Equal training sensitivity and specificity binomial probability: 2.12E-29 Maximum training sensitivity plus specificity cumulative threshold: 23.1555 Maximum training sensitivity plus specificity logistic threshold: 0.4348 Maximum training sensitivity plus specificity area: 0.507 Maximum training sensitivity plus specificity training omission: 0.2019 Maximum training sensitivity plus specificity test omission: 0.2011 Maximum training sensitivity plus specificity binomial probability: 2.88E-41 Equal test sensitivity and specificity cumulative threshold: 37.1415 Equal test sensitivity and specificity logistic threshold: 0.4872 Equal test sensitivity and specificity area: 0.378 Equal test sensitivity and specificity training omission: 0.3476 Equal test sensitivity and specificity test omission: 0.3776 Equal test sensitivity and specificity binomial probability: 2.87E-31 Maximum test sensitivity plus specificity cumulative threshold: 22.2167 Maximum test sensitivity plus specificity logistic threshold: 0.4316 Maximum test sensitivity plus specificity area: 0.5167 Maximum test sensitivity plus specificity training omission: 0.1941 Maximum test sensitivity plus specificity test omission: 0.1803 Maximum test sensitivity plus specificity binomial probability: 2.32E-44 Balance training omission, predicted area and threshold value cumulative threshold: 1.3058 Balance training omission, predicted area and threshold value logistic threshold: 0.1727 Balance training omission, predicted area and threshold value area: 0.8407 Balance training omission, predicted area and threshold value training omission: 0.0082 Balance training omission, predicted area and threshold value test omission: 0.0114 Balance training omission, predicted area and threshold value binomial probability: 8.53E-21 Equate entropy of thresholded and original distributions cumulative threshold: 2.9687 Equate entropy of thresholded and original distributions logistic threshold: 0.2334 Equate entropy of thresholded and original distributions area: 0.7899 Equate entropy of thresholded and original distributions training omission: 0.0175 Equate entropy of thresholded and original distributions test omission: 0.0171 Equate entropy of thresholded and original distributions binomial probability: 7.30E-28	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fd05c41f-ea5d-4493-a983-c92e0f3e717f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-a_1940-2011_rev01	None	None
ab483dcf-40a1-4be1-93fe-d8658e8d68b8	None	EUNIS habitat type G3.2, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-2_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 517 Regularized training gain: 2.4022 Unregularized training gain: 2.4893 Iterations: 500 Training AUC: 0.9679 #Test samples: 57 Test gain: 2.277 Test AUC: 0.9613 AUC Standard Deviation: 0.0039 #Background points: 10517 bio_12_etrs2_ras contribution: 58.0386 bio_15_etrs2_ras contribution: 0.6514 bio_18_etrs2_ras contribution: 5.9122 bio_4_etrs2_ras contribution: 18.8005 bio_8_etrs2_ras contribution: 0.1274 dist2water1km contribution: 0.4643 pet_he_yr contribution: 15.6623 soil_ph contribution: 0.1338 solar_1km contribution: 0.2095 bio_12_etrs2_ras permutation importance: 47.8566 bio_15_etrs2_ras permutation importance: 1.8005 bio_18_etrs2_ras permutation importance: 0.4974 bio_4_etrs2_ras permutation importance: 26.6242 bio_8_etrs2_ras permutation importance: 0.7586 dist2water1km permutation importance: 0.6557 pet_he_yr permutation importance: 21.4057 soil_ph permutation importance: 0.1723 solar_1km permutation importance: 0.2289 Entropy: 6.8631 Prevalence (average of logistic output over background sites): 0.0437 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0184 Fixed cumulative value 1 area: 0.1481 Fixed cumulative value 1 training omission: 0.0019 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1303 Fixed cumulative value 5 area: 0.0909 Fixed cumulative value 5 training omission: 0.0271 Fixed cumulative value 5 test omission: 0.1053 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2447 Fixed cumulative value 10 area: 0.0706 Fixed cumulative value 10 training omission: 0.0542 Fixed cumulative value 10 test omission: 0.1053 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.2162 Minimum training presence logistic threshold: 0.0025 Minimum training presence area: 0.2431 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 8.77E-41 10 percentile training presence cumulative threshold: 14.0285 10 percentile training presence logistic threshold: 0.3129 10 percentile training presence area: 0.0611 10 percentile training presence training omission: 0.0986 10 percentile training presence test omission: 0.1579 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 11.4691 Equal training sensitivity and specificity logistic threshold: 0.2695 Equal training sensitivity and specificity area: 0.0668 Equal training sensitivity and specificity training omission: 0.0677 Equal training sensitivity and specificity test omission: 0.1228 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.1826 Maximum training sensitivity plus specificity logistic threshold: 0.2044 Maximum training sensitivity plus specificity area: 0.0764 Maximum training sensitivity plus specificity training omission: 0.0348 Maximum training sensitivity plus specificity test omission: 0.1053 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 4.9612 Equal test sensitivity and specificity logistic threshold: 0.1296 Equal test sensitivity and specificity area: 0.0912 Equal test sensitivity and specificity training omission: 0.0271 Equal test sensitivity and specificity test omission: 0.0877 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 2.8429 Maximum test sensitivity plus specificity logistic threshold: 0.0774 Maximum test sensitivity plus specificity area: 0.1085 Maximum test sensitivity plus specificity training omission: 0.0097 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.1905 Balance training omission, predicted area and threshold value logistic threshold: 0.0246 Balance training omission, predicted area and threshold value area: 0.1401 Balance training omission, predicted area and threshold value training omission: 0.0019 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 5.0118 Equate entropy of thresholded and original distributions logistic threshold: 0.1303 Equate entropy of thresholded and original distributions area: 0.0909 Equate entropy of thresholded and original distributions training omission: 0.0271 Equate entropy of thresholded and original distributions test omission: 0.1053 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ab483dcf-40a1-4be1-93fe-d8658e8d68b8	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-2_1940-2011_rev01	None	None
120e83fd-1da7-407c-ad3a-935021d9711d	None	EUNIS habitat type G2.6 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-6_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/120e83fd-1da7-407c-ad3a-935021d9711d	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g2-6_1940-2011_rev01	None	None
f766707a-0118-4975-81ca-1fe4f66f2679	None	EUNIS habitat type G1.2 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f766707a-0118-4975-81ca-1fe4f66f2679	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-2_1940-2011_rev01	None	None
0f34cad3-8a8b-4698-8c73-d5757d14b318	None	EUNIS habitat type F5-5 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-5_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f34cad3-8a8b-4698-8c73-d5757d14b318	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f5-5_1940-2011_rev01	None	None
8ff70800-d237-4ce3-bd01-a0e4d5053ec1	None	EUNIS habitat type F9-1b distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8ff70800-d237-4ce3-bd01-a0e4d5053ec1	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f9-1b_1940-2011_rev01	None	None
ed7ac3a8-4495-4b4c-8e20-9a4042f15475	None	EUNIS habitat type F7-4c distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4c_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ed7ac3a8-4495-4b4c-8e20-9a4042f15475	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f7-4c_1940-2011_rev01	None	None
54d4ff10-a02a-4090-b063-f8ab3c96ebb0	None	EUNIS habitat type G3.9b, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9b_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 551 Regularized training gain: 1.6047 Unregularized training gain: 1.779 Iterations: 500 Training AUC: 0.938 #Test samples: 61 Test gain: 1.5894 Test AUC: 0.9235 AUC Standard Deviation: 0.0074 #Background points: 10274 bio_12_etrs2_ras contribution: 1.7246 bio_15_etrs2_ras contribution: 4.5698 bio_18_etrs2_ras contribution: 59.8598 bio_4_etrs2_ras contribution: 3.0765 bio_8_etrs2_ras contribution: 6.6394 dist2water1km contribution: 4.6239 pet_he_yr contribution: 12.6501 soil_ph contribution: 4.9473 solar_1km contribution: 1.9085 bio_12_etrs2_ras permutation importance: 4.663 bio_15_etrs2_ras permutation importance: 7.0067 bio_18_etrs2_ras permutation importance: 68.5827 bio_4_etrs2_ras permutation importance: 2.3029 bio_8_etrs2_ras permutation importance: 5.5913 dist2water1km permutation importance: 2.5289 pet_he_yr permutation importance: 5.7074 soil_ph permutation importance: 2.2444 solar_1km permutation importance: 1.3729 Training gain without bio_12_etrs2_ras: 1.5757 Training gain without bio_15_etrs2_ras: 1.5485 Training gain without bio_18_etrs2_ras: 1.5242 Training gain without bio_4_etrs2_ras: 1.5871 Training gain without bio_8_etrs2_ras: 1.591 Training gain without dist2water1km: 1.5506 Training gain without pet_he_yr: 1.5634 Training gain without soil_ph: 1.5682 Training gain without solar_1km: 1.587 Training gain with only bio_12_etrs2_ras: 0.2283 Training gain with only bio_15_etrs2_ras: 0.3311 Training gain with only bio_18_etrs2_ras: 1.1116 Training gain with only bio_4_etrs2_ras: 0.3341 Training gain with only bio_8_etrs2_ras: 0.5807 Training gain with only dist2water1km: 0.271 Training gain with only pet_he_yr: 0.7354 Training gain with only soil_ph: 0.4561 Training gain with only solar_1km: 0.065 Test gain without bio_12_etrs2_ras: 1.5697 Test gain without bio_15_etrs2_ras: 1.5186 Test gain without bio_18_etrs2_ras: 1.527 Test gain without bio_4_etrs2_ras: 1.5532 Test gain without bio_8_etrs2_ras: 1.5712 Test gain without dist2water1km: 1.5316 Test gain without pet_he_yr: 1.5343 Test gain without soil_ph: 1.5744 Test gain without solar_1km: 1.6178 Test gain with only bio_12_etrs2_ras: 0.3124 Test gain with only bio_15_etrs2_ras: 0.3377 Test gain with only bio_18_etrs2_ras: 1.2686 Test gain with only bio_4_etrs2_ras: 0.4335 Test gain with only bio_8_etrs2_ras: 0.4994 Test gain with only dist2water1km: 0.2666 Test gain with only pet_he_yr: 0.8347 Test gain with only soil_ph: 0.3684 Test gain with only solar_1km: 0.0587 AUC without bio_12_etrs2_ras: 0.9222 AUC without bio_15_etrs2_ras: 0.9186 AUC without bio_18_etrs2_ras: 0.9182 AUC without bio_4_etrs2_ras: 0.9202 AUC without bio_8_etrs2_ras: 0.922 AUC without dist2water1km: 0.9177 AUC without pet_he_yr: 0.9196 AUC without soil_ph: 0.9236 AUC without solar_1km: 0.9265 AUC with only bio_12_etrs2_ras: 0.7167 AUC with only bio_15_etrs2_ras: 0.7104 AUC with only bio_18_etrs2_ras: 0.8877 AUC with only bio_4_etrs2_ras: 0.7548 AUC with only bio_8_etrs2_ras: 0.748 AUC with only dist2water1km: 0.6277 AUC with only pet_he_yr: 0.8383 AUC with only soil_ph: 0.7267 AUC with only solar_1km: 0.5968 Entropy: 7.6441 Prevalence (average of logistic output over background sites): 0.0991 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.02 Fixed cumulative value 1 area: 0.3258 Fixed cumulative value 1 training omission: 0.0018 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.36E-29 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1642 Fixed cumulative value 5 area: 0.2104 Fixed cumulative value 5 training omission: 0.0236 Fixed cumulative value 5 test omission: 0.0164 Fixed cumulative value 5 binomial probability: 5.90E-50 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2704 Fixed cumulative value 10 area: 0.1737 Fixed cumulative value 10 training omission: 0.0472 Fixed cumulative value 10 test omission: 0.0328 Fixed cumulative value 10 binomial probability: 1.96E-60 Minimum training presence cumulative threshold: 0.0336 Minimum training presence logistic threshold: 0.0006 Minimum training presence area: 0.6798 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 4.15E-08 10 percentile training presence cumulative threshold: 15.8236 10 percentile training presence logistic threshold: 0.3356 10 percentile training presence area: 0.147 10 percentile training presence training omission: 0.098 10 percentile training presence test omission: 0.1311 10 percentile training presence binomial probability: 2.19E-57 Equal training sensitivity and specificity cumulative threshold: 20.1452 Equal training sensitivity and specificity logistic threshold: 0.3631 Equal training sensitivity and specificity area: 0.1307 Equal training sensitivity and specificity training omission: 0.1307 Equal training sensitivity and specificity test omission: 0.2131 Equal training sensitivity and specificity binomial probability: 1.69E-52 Maximum training sensitivity plus specificity cumulative threshold: 10.3567 Maximum training sensitivity plus specificity logistic threshold: 0.2792 Maximum training sensitivity plus specificity area: 0.1718 Maximum training sensitivity plus specificity training omission: 0.0472 Maximum training sensitivity plus specificity test omission: 0.0492 Maximum training sensitivity plus specificity binomial probability: 7.80E-59 Equal test sensitivity and specificity cumulative threshold: 16.6824 Equal test sensitivity and specificity logistic threshold: 0.3426 Equal test sensitivity and specificity area: 0.1437 Equal test sensitivity and specificity training omission: 0.1125 Equal test sensitivity and specificity test omission: 0.1475 Equal test sensitivity and specificity binomial probability: 2.04E-56 Maximum test sensitivity plus specificity cumulative threshold: 7.834 Maximum test sensitivity plus specificity logistic threshold: 0.23 Maximum test sensitivity plus specificity area: 0.1869 Maximum test sensitivity plus specificity training omission: 0.0381 Maximum test sensitivity plus specificity test omission: 0.0164 Maximum test sensitivity plus specificity binomial probability: 1.16E-57 Balance training omission, predicted area and threshold value cumulative threshold: 2.1949 Balance training omission, predicted area and threshold value logistic threshold: 0.0642 Balance training omission, predicted area and threshold value area: 0.2575 Balance training omission, predicted area and threshold value training omission: 0.0018 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 1.95E-40 Equate entropy of thresholded and original distributions cumulative threshold: 5.7446 Equate entropy of thresholded and original distributions logistic threshold: 0.1792 Equate entropy of thresholded and original distributions area: 0.2032 Equate entropy of thresholded and original distributions training omission: 0.0236 Equate entropy of thresholded and original distributions test omission: 0.0164 Equate entropy of thresholded and original distributions binomial probability: 4.01E-52	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54d4ff10-a02a-4090-b063-f8ab3c96ebb0	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-9b_1940-2011_rev01	None	None
3987be0d-8358-4677-a5ed-c15162079bea	None	EUNIS habitat type G3.1a distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3987be0d-8358-4677-a5ed-c15162079bea	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-1a_1940-2011_rev01	None	None
209c0933-b2b2-458a-b414-9512b2c3ee42	None	EUNIS habitat type F2.1, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 450 Regularized training gain: 1.9963 Unregularized training gain: 2.1532 Iterations: 500 Training AUC: 0.9564 #Test samples: 49 Test gain: 1.848 Test AUC: 0.9398 AUC Standard Deviation: 0.0099 #Background points: 5208 bio_12_etrs2_ras contribution: 0.6612 bio_15_etrs2_ras contribution: 1.1556 bio_18_etrs2_ras contribution: 7.7665 bio_4_etrs2_ras contribution: 0.5363 bio_8_etrs2_ras contribution: 0.5955 bld_m_sd1_1km_eu_ll contribution: 0.162 cecsum_m_sd1_1km_eu_ll contribution: 3.4397 clyppt_m_sd1_1km_eu_ll contribution: 1.2574 crfvol_m_sd1_1km_eu_ll contribution: 1.2559 dist2water1km contribution: 0.0459 orcdrc_m_sd1_1km_eu_ll contribution: 0.2008 pet_he_yr contribution: 63.9081 sltppt_m_sd1_1km_eu_ll contribution: 0.4298 sndppt_m_sd1_1km_eu_ll contribution: 1.7674 solar_1km contribution: 16.818 bio_12_etrs2_ras permutation importance: 9.0678 bio_15_etrs2_ras permutation importance: 1.0445 bio_18_etrs2_ras permutation importance: 6.1868 bio_4_etrs2_ras permutation importance: 2.9482 bio_8_etrs2_ras permutation importance: 0.963 bld_m_sd1_1km_eu_ll permutation importance: 0.3476 cecsum_m_sd1_1km_eu_ll permutation importance: 4.1786 clyppt_m_sd1_1km_eu_ll permutation importance: 3.5105 crfvol_m_sd1_1km_eu_ll permutation importance: 1.2313 dist2water1km permutation importance: 0.4094 orcdrc_m_sd1_1km_eu_ll permutation importance: 2.252 pet_he_yr permutation importance: 56.9659 sltppt_m_sd1_1km_eu_ll permutation importance: 1.278 sndppt_m_sd1_1km_eu_ll permutation importance: 5.6766 solar_1km permutation importance: 3.9398 Training gain without bio_12_etrs2_ras: 1.9797 Training gain without bio_15_etrs2_ras: 1.9833 Training gain without bio_18_etrs2_ras: 1.9839 Training gain without bio_4_etrs2_ras: 1.9836 Training gain without bio_8_etrs2_ras: 1.9938 Training gain without bld_m_sd1_1km_eu_ll: 1.9945 Training gain without cecsum_m_sd1_1km_eu_ll: 1.9856 Training gain without clyppt_m_sd1_1km_eu_ll: 1.9781 Training gain without crfvol_m_sd1_1km_eu_ll: 1.9886 Training gain without dist2water1km: 1.9977 Training gain without orcdrc_m_sd1_1km_eu_ll: 1.9948 Training gain without pet_he_yr: 1.8636 Training gain without sltppt_m_sd1_1km_eu_ll: 1.9923 Training gain without sndppt_m_sd1_1km_eu_ll: 1.9885 Training gain without solar_1km: 1.9873 Training gain with only bio_12_etrs2_ras: 1.0985 Training gain with only bio_15_etrs2_ras: 0.4773 Training gain with only bio_18_etrs2_ras: 1.1407 Training gain with only bio_4_etrs2_ras: 0.3458 Training gain with only bio_8_etrs2_ras: 0.6267 Training gain with only bld_m_sd1_1km_eu_ll: 0.8155 Training gain with only cecsum_m_sd1_1km_eu_ll: 1.0129 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.4152 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.7608 Training gain with only dist2water1km: 0.1826 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.7832 Training gain with only pet_he_yr: 1.6746 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.474 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.879 Training gain with only solar_1km: 1.1885 Test gain without bio_12_etrs2_ras: 1.8094 Test gain without bio_15_etrs2_ras: 1.8271 Test gain without bio_18_etrs2_ras: 1.837 Test gain without bio_4_etrs2_ras: 1.8238 Test gain without bio_8_etrs2_ras: 1.8478 Test gain without bld_m_sd1_1km_eu_ll: 1.8473 Test gain without cecsum_m_sd1_1km_eu_ll: 1.8665 Test gain without clyppt_m_sd1_1km_eu_ll: 1.8348 Test gain without crfvol_m_sd1_1km_eu_ll: 1.8463 Test gain without dist2water1km: 1.8485 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.8601 Test gain without pet_he_yr: 1.8003 Test gain without sltppt_m_sd1_1km_eu_ll: 1.8503 Test gain without sndppt_m_sd1_1km_eu_ll: 1.9392 Test gain without solar_1km: 1.8294 Test gain with only bio_12_etrs2_ras: 1.2271 Test gain with only bio_15_etrs2_ras: 0.5735 Test gain with only bio_18_etrs2_ras: 1.0485 Test gain with only bio_4_etrs2_ras: 0.2636 Test gain with only bio_8_etrs2_ras: 0.744 Test gain with only bld_m_sd1_1km_eu_ll: 0.8923 Test gain with only cecsum_m_sd1_1km_eu_ll: 1.232 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.4895 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.8688 Test gain with only dist2water1km: 0.2424 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.8698 Test gain with only pet_he_yr: 1.5794 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.4824 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.7106 Test gain with only solar_1km: 1.3587 AUC without bio_12_etrs2_ras: 0.9379 AUC without bio_15_etrs2_ras: 0.9392 AUC without bio_18_etrs2_ras: 0.9398 AUC without bio_4_etrs2_ras: 0.9383 AUC without bio_8_etrs2_ras: 0.9399 AUC without bld_m_sd1_1km_eu_ll: 0.9402 AUC without cecsum_m_sd1_1km_eu_ll: 0.9409 AUC without clyppt_m_sd1_1km_eu_ll: 0.9396 AUC without crfvol_m_sd1_1km_eu_ll: 0.9397 AUC without dist2water1km: 0.9401 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9404 AUC without pet_he_yr: 0.937 AUC without sltppt_m_sd1_1km_eu_ll: 0.9407 AUC without sndppt_m_sd1_1km_eu_ll: 0.9445 AUC without solar_1km: 0.9384 AUC with only bio_12_etrs2_ras: 0.8903 AUC with only bio_15_etrs2_ras: 0.7946 AUC with only bio_18_etrs2_ras: 0.8745 AUC with only bio_4_etrs2_ras: 0.6871 AUC with only bio_8_etrs2_ras: 0.8101 AUC with only bld_m_sd1_1km_eu_ll: 0.8209 AUC with only cecsum_m_sd1_1km_eu_ll: 0.8895 AUC with only clyppt_m_sd1_1km_eu_ll: 0.7415 AUC with only crfvol_m_sd1_1km_eu_ll: 0.8427 AUC with only dist2water1km: 0.6933 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.8379 AUC with only pet_he_yr: 0.9222 AUC with only sltppt_m_sd1_1km_eu_ll: 0.7564 AUC with only sndppt_m_sd1_1km_eu_ll: 0.8291 AUC with only solar_1km: 0.9044 Entropy: 6.5721 Prevalence (average of logistic output over background sites): 0.0665 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0208 Fixed cumulative value 1 area: 0.236 Fixed cumulative value 1 training omission: 0.0067 Fixed cumulative value 1 test omission: 0.0204 Fixed cumulative value 1 binomial probability: 7.53E-35 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1294 Fixed cumulative value 5 area: 0.1517 Fixed cumulative value 5 training omission: 0.0178 Fixed cumulative value 5 test omission: 0.1224 Fixed cumulative value 5 binomial probability: 7.61E-46 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2127 Fixed cumulative value 10 area: 0.1187 Fixed cumulative value 10 training omission: 0.0622 Fixed cumulative value 10 test omission: 0.1633 Fixed cumulative value 10 binomial probability: 8.87E-55 Minimum training presence cumulative threshold: 0.1255 Minimum training presence logistic threshold: 0.0014 Minimum training presence area: 0.4384 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.16E-15 10 percentile training presence cumulative threshold: 15.1848 10 percentile training presence logistic threshold: 0.2834 10 percentile training presence area: 0.0966 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.2245 10 percentile training presence binomial probability: 1.52E-58 Equal training sensitivity and specificity cumulative threshold: 14.9092 Equal training sensitivity and specificity logistic threshold: 0.2821 Equal training sensitivity and specificity area: 0.0977 Equal training sensitivity and specificity training omission: 0.0978 Equal training sensitivity and specificity test omission: 0.2245 Equal training sensitivity and specificity binomial probability: 9.25E-58 Maximum training sensitivity plus specificity cumulative threshold: 6.7873 Maximum training sensitivity plus specificity logistic threshold: 0.161 Maximum training sensitivity plus specificity area: 0.1379 Maximum training sensitivity plus specificity training omission: 0.0244 Maximum training sensitivity plus specificity test omission: 0.1224 Maximum training sensitivity plus specificity binomial probability: 2.77E-51 Equal test sensitivity and specificity cumulative threshold: 7.9141 Equal test sensitivity and specificity logistic threshold: 0.1765 Equal test sensitivity and specificity area: 0.1302 Equal test sensitivity and specificity training omission: 0.0356 Equal test sensitivity and specificity test omission: 0.1224 Equal test sensitivity and specificity binomial probability: 8.37E-55 Maximum test sensitivity plus specificity cumulative threshold: 1.4623 Maximum test sensitivity plus specificity logistic threshold: 0.0341 Maximum test sensitivity plus specificity area: 0.2129 Maximum test sensitivity plus specificity training omission: 0.0111 Maximum test sensitivity plus specificity test omission: 0.0204 Maximum test sensitivity plus specificity binomial probability: 1.47E-39 Balance training omission, predicted area and threshold value cumulative threshold: 1.3547 Balance training omission, predicted area and threshold value logistic threshold: 0.0316 Balance training omission, predicted area and threshold value area: 0.2174 Balance training omission, predicted area and threshold value training omission: 0.0067 Balance training omission, predicted area and threshold value test omission: 0.0204 Balance training omission, predicted area and threshold value binomial probability: 1.40E-38 Equate entropy of thresholded and original distributions cumulative threshold: 6.9218 Equate entropy of thresholded and original distributions logistic threshold: 0.1614 Equate entropy of thresholded and original distributions area: 0.1371 Equate entropy of thresholded and original distributions training omission: 0.0267 Equate entropy of thresholded and original distributions test omission: 0.1224 Equate entropy of thresholded and original distributions binomial probability: 1.28E-51	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/209c0933-b2b2-458a-b414-9512b2c3ee42	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f2-1_1940-2011_rev01	None	None
2c8227af-07fb-472f-ab49-593c611727be	None	EUNIS habitat type F6.1b, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Predictions in the east Mediterranean area should be ignored.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1b_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 65 Regularized training gain: 2.5296 Unregularized training gain: 2.8127 Iterations: 500 Training AUC: 0.9756 #Test samples: 7 Test gain: 1.6606 Test AUC: 0.9415 AUC Standard Deviation: 0.0193 #Background points: 5047 bio_12_etrs2_ras contribution: 0.8398 bio_15_etrs2_ras contribution: 13.5536 bio_18_etrs2_ras contribution: 49.1645 bio_4_etrs2_ras contribution: 2.1301 bio_8_etrs2_ras contribution: 2.3443 bld_m_sd1_1km_eu_ll contribution: 5.8124 cecsum_m_sd1_1km_eu_ll contribution: 0.14 clyppt_m_sd1_1km_eu_ll contribution: 6.2395 crfvol_m_sd1_1km_eu_ll contribution: 1.9674 dist2water1km contribution: 0.0443 orcdrc_m_sd1_1km_eu_ll contribution: 0.076 pet_he_yr contribution: 16.0585 sltppt_m_sd1_1km_eu_ll contribution: 0.3234 sndppt_m_sd1_1km_eu_ll contribution: 0.4292 solar_1km contribution: 0.8768 bio_12_etrs2_ras permutation importance: 3.5449 bio_15_etrs2_ras permutation importance: 5.8264 bio_18_etrs2_ras permutation importance: 75.1605 bio_4_etrs2_ras permutation importance: 3.813 bio_8_etrs2_ras permutation importance: 0.5864 bld_m_sd1_1km_eu_ll permutation importance: 4.6429 cecsum_m_sd1_1km_eu_ll permutation importance: 0.1711 clyppt_m_sd1_1km_eu_ll permutation importance: 2.6928 crfvol_m_sd1_1km_eu_ll permutation importance: 1.5463 dist2water1km permutation importance: 0.0366 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.0151 pet_he_yr permutation importance: 0.4666 sltppt_m_sd1_1km_eu_ll permutation importance: 0 sndppt_m_sd1_1km_eu_ll permutation importance: 0.5836 solar_1km permutation importance: 0.9138 Training gain without bio_12_etrs2_ras: 2.4758 Training gain without bio_15_etrs2_ras: 2.3924 Training gain without bio_18_etrs2_ras: 2.4288 Training gain without bio_4_etrs2_ras: 2.4848 Training gain without bio_8_etrs2_ras: 2.5206 Training gain without bld_m_sd1_1km_eu_ll: 2.4941 Training gain without cecsum_m_sd1_1km_eu_ll: 2.5224 Training gain without clyppt_m_sd1_1km_eu_ll: 2.4834 Training gain without crfvol_m_sd1_1km_eu_ll: 2.491 Training gain without dist2water1km: 2.5283 Training gain without orcdrc_m_sd1_1km_eu_ll: 2.5274 Training gain without pet_he_yr: 2.521 Training gain without sltppt_m_sd1_1km_eu_ll: 2.529 Training gain without sndppt_m_sd1_1km_eu_ll: 2.5081 Training gain without solar_1km: 2.5181 Training gain with only bio_12_etrs2_ras: 0.5483 Training gain with only bio_15_etrs2_ras: 0.8073 Training gain with only bio_18_etrs2_ras: 1.7667 Training gain with only bio_4_etrs2_ras: 0.1536 Training gain with only bio_8_etrs2_ras: 0.283 Training gain with only bld_m_sd1_1km_eu_ll: 1.2828 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.4173 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.3192 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.2936 Training gain with only dist2water1km: 0.0018 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.4465 Training gain with only pet_he_yr: 1.5753 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.2119 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.2175 Training gain with only solar_1km: 0.1541 Test gain without bio_12_etrs2_ras: 1.9191 Test gain without bio_15_etrs2_ras: 1.5168 Test gain without bio_18_etrs2_ras: 1.8359 Test gain without bio_4_etrs2_ras: 1.6436 Test gain without bio_8_etrs2_ras: 1.6716 Test gain without bld_m_sd1_1km_eu_ll: 1.8202 Test gain without cecsum_m_sd1_1km_eu_ll: 1.6544 Test gain without clyppt_m_sd1_1km_eu_ll: 1.7754 Test gain without crfvol_m_sd1_1km_eu_ll: 1.6975 Test gain without dist2water1km: 1.7033 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.7371 Test gain without pet_he_yr: 1.6996 Test gain without sltppt_m_sd1_1km_eu_ll: 1.6819 Test gain without sndppt_m_sd1_1km_eu_ll: 1.7197 Test gain without solar_1km: 1.6934 Test gain with only bio_12_etrs2_ras: 1.003 Test gain with only bio_15_etrs2_ras: 0.7312 Test gain with only bio_18_etrs2_ras: 1.585 Test gain with only bio_4_etrs2_ras: 0.2388 Test gain with only bio_8_etrs2_ras: 0.4073 Test gain with only bld_m_sd1_1km_eu_ll: 1.4061 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.5818 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.1176 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.0725 Test gain with only dist2water1km: -0.0004 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.5066 Test gain with only pet_he_yr: 1.3987 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.0995 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.0082 Test gain with only solar_1km: 0.0367 AUC without bio_12_etrs2_ras: 0.951 AUC without bio_15_etrs2_ras: 0.9281 AUC without bio_18_etrs2_ras: 0.9508 AUC without bio_4_etrs2_ras: 0.9412 AUC without bio_8_etrs2_ras: 0.9432 AUC without bld_m_sd1_1km_eu_ll: 0.9478 AUC without cecsum_m_sd1_1km_eu_ll: 0.9422 AUC without clyppt_m_sd1_1km_eu_ll: 0.9461 AUC without crfvol_m_sd1_1km_eu_ll: 0.9411 AUC without dist2water1km: 0.9441 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9439 AUC without pet_he_yr: 0.944 AUC without sltppt_m_sd1_1km_eu_ll: 0.9424 AUC without sndppt_m_sd1_1km_eu_ll: 0.9422 AUC without solar_1km: 0.9422 AUC with only bio_12_etrs2_ras: 0.8955 AUC with only bio_15_etrs2_ras: 0.832 AUC with only bio_18_etrs2_ras: 0.9267 AUC with only bio_4_etrs2_ras: 0.6579 AUC with only bio_8_etrs2_ras: 0.8095 AUC with only bld_m_sd1_1km_eu_ll: 0.9176 AUC with only cecsum_m_sd1_1km_eu_ll: 0.7989 AUC with only clyppt_m_sd1_1km_eu_ll: 0.5891 AUC with only crfvol_m_sd1_1km_eu_ll: 0.6288 AUC with only dist2water1km: 0.4837 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.7726 AUC with only pet_he_yr: 0.9075 AUC with only sltppt_m_sd1_1km_eu_ll: 0.557 AUC with only sndppt_m_sd1_1km_eu_ll: 0.5491 AUC with only solar_1km: 0.5493 Entropy: 6.0094 Prevalence (average of logistic output over background sites): 0.0386 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.012 Fixed cumulative value 1 area: 0.2407 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 4.69E-05 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0647 Fixed cumulative value 5 area: 0.1328 Fixed cumulative value 5 training omission: 0.0308 Fixed cumulative value 5 test omission: 0.1429 Fixed cumulative value 5 binomial probability: 3.39E-05 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1269 Fixed cumulative value 10 area: 0.0933 Fixed cumulative value 10 training omission: 0.0615 Fixed cumulative value 10 test omission: 0.2857 Fixed cumulative value 10 binomial probability: 1.27E-04 Minimum training presence cumulative threshold: 1.7247 Minimum training presence logistic threshold: 0.0194 Minimum training presence area: 0.2033 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.43E-05 10 percentile training presence cumulative threshold: 15.3937 10 percentile training presence logistic threshold: 0.1798 10 percentile training presence area: 0.0684 10 percentile training presence training omission: 0.0923 10 percentile training presence test omission: 0.2857 10 percentile training presence binomial probability: 2.79E-05 Equal training sensitivity and specificity cumulative threshold: 13.2309 Equal training sensitivity and specificity logistic threshold: 0.1564 Equal training sensitivity and specificity area: 0.0771 Equal training sensitivity and specificity training omission: 0.0769 Equal training sensitivity and specificity test omission: 0.2857 Equal training sensitivity and specificity binomial probability: 5.00E-05 Maximum training sensitivity plus specificity cumulative threshold: 11.6114 Maximum training sensitivity plus specificity logistic threshold: 0.1352 Maximum training sensitivity plus specificity area: 0.0846 Maximum training sensitivity plus specificity training omission: 0.0615 Maximum training sensitivity plus specificity test omission: 0.2857 Maximum training sensitivity plus specificity binomial probability: 7.87E-05 Equal test sensitivity and specificity cumulative threshold: 4.2418 Equal test sensitivity and specificity logistic threshold: 0.052 Equal test sensitivity and specificity area: 0.1429 Equal test sensitivity and specificity training omission: 0.0308 Equal test sensitivity and specificity test omission: 0.1429 Equal test sensitivity and specificity binomial probability: 5.22E-05 Maximum test sensitivity plus specificity cumulative threshold: 4.0498 Maximum test sensitivity plus specificity logistic threshold: 0.0507 Maximum test sensitivity plus specificity area: 0.1456 Maximum test sensitivity plus specificity training omission: 0.0308 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.39E-06 Balance training omission, predicted area and threshold value cumulative threshold: 1.7247 Balance training omission, predicted area and threshold value logistic threshold: 0.0194 Balance training omission, predicted area and threshold value area: 0.2033 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 1.43E-05 Equate entropy of thresholded and original distributions cumulative threshold: 12.4495 Equate entropy of thresholded and original distributions logistic threshold: 0.1453 Equate entropy of thresholded and original distributions area: 0.0806 Equate entropy of thresholded and original distributions training omission: 0.0769 Equate entropy of thresholded and original distributions test omission: 0.2857 Equate entropy of thresholded and original distributions binomial probability: 6.23E-05	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2c8227af-07fb-472f-ab49-593c611727be	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f6-1b_1940-2011_rev01	None	None
4e5fa870-cd3b-4b2b-aceb-c1bbb80fcf5d	None	EUNIS habitat type F7.3, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in the Iberian Penissula should be ignored.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-3_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 54 Regularized training gain: 3.6547 Unregularized training gain: 3.9416 Iterations: 500 Training AUC: 0.9935 #Test samples: 5 Test gain: 3.456 Test AUC: 0.9902 AUC Standard Deviation: 0.002 #Background points: 5054 bio_12_etrs2_ras contribution: 0 bio_15_etrs2_ras contribution: 49.1531 bio_18_etrs2_ras contribution: 23.7552 bio_4_etrs2_ras contribution: 13.0809 bio_8_etrs2_ras contribution: 0.1344 bld_m_sd1_1km_eu_ll contribution: 0.1621 cecsum_m_sd1_1km_eu_ll contribution: 0.0163 clyppt_m_sd1_1km_eu_ll contribution: 1.3448 crfvol_m_sd1_1km_eu_ll contribution: 0.2328 dist2water1km contribution: 0.0032 orcdrc_m_sd1_1km_eu_ll contribution: 1.0544 pet_he_yr contribution: 10.193 phihox_m_sd1_1km_eu_ll contribution: 0.6572 sltppt_m_sd1_1km_eu_ll contribution: 0.0147 sndppt_m_sd1_1km_eu_ll contribution: 0.0856 solar_1km contribution: 0.1124 bio_12_etrs2_ras permutation importance: 0 bio_15_etrs2_ras permutation importance: 66.3024 bio_18_etrs2_ras permutation importance: 0.1262 bio_4_etrs2_ras permutation importance: 23.4347 bio_8_etrs2_ras permutation importance: 0.3119 bld_m_sd1_1km_eu_ll permutation importance: 0.1595 cecsum_m_sd1_1km_eu_ll permutation importance: 0.0405 clyppt_m_sd1_1km_eu_ll permutation importance: 0.0262 crfvol_m_sd1_1km_eu_ll permutation importance: 0.6285 dist2water1km permutation importance: 0 orcdrc_m_sd1_1km_eu_ll permutation importance: 1.2308 pet_he_yr permutation importance: 2.7829 phihox_m_sd1_1km_eu_ll permutation importance: 3.6757 sltppt_m_sd1_1km_eu_ll permutation importance: 0.8761 sndppt_m_sd1_1km_eu_ll permutation importance: 0.0595 solar_1km permutation importance: 0.3452 Entropy: 4.8843 Prevalence (average of logistic output over background sites): 0.0121 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0036 Fixed cumulative value 1 area: 0.1173 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.22E-05 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0458 Fixed cumulative value 5 area: 0.0386 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 8.55E-08 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1365 Fixed cumulative value 10 area: 0.0239 Fixed cumulative value 10 training omission: 0 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 7.87E-09 Minimum training presence cumulative threshold: 12.7992 Minimum training presence logistic threshold: 0.1708 Minimum training presence area: 0.0198 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.03E-09 10 percentile training presence cumulative threshold: 19.3516 10 percentile training presence logistic threshold: 0.2726 10 percentile training presence area: 0.014 10 percentile training presence training omission: 0.0926 10 percentile training presence test omission: 0.2 10 percentile training presence binomial probability: 1.93E-07 Equal training sensitivity and specificity cumulative threshold: 13.1147 Equal training sensitivity and specificity logistic threshold: 0.1738 Equal training sensitivity and specificity area: 0.0194 Equal training sensitivity and specificity training omission: 0.0185 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 2.74E-09 Maximum training sensitivity plus specificity cumulative threshold: 12.7992 Maximum training sensitivity plus specificity logistic threshold: 0.1708 Maximum training sensitivity plus specificity area: 0.0198 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 3.03E-09 Equal test sensitivity and specificity cumulative threshold: 15.5867 Equal test sensitivity and specificity logistic threshold: 0.2255 Equal test sensitivity and specificity area: 0.0168 Equal test sensitivity and specificity training omission: 0.037 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 1.35E-09 Maximum test sensitivity plus specificity cumulative threshold: 15.5867 Maximum test sensitivity plus specificity logistic threshold: 0.2255 Maximum test sensitivity plus specificity area: 0.0168 Maximum test sensitivity plus specificity training omission: 0.037 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.35E-09 Balance training omission, predicted area and threshold value cumulative threshold: 2.0977 Balance training omission, predicted area and threshold value logistic threshold: 0.0103 Balance training omission, predicted area and threshold value area: 0.073 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.08E-06 Equate entropy of thresholded and original distributions cumulative threshold: 8.8366 Equate entropy of thresholded and original distributions logistic threshold: 0.1086 Equate entropy of thresholded and original distributions area: 0.0261 Equate entropy of thresholded and original distributions training omission: 0 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 1.21E-08	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4e5fa870-cd3b-4b2b-aceb-c1bbb80fcf5d	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f7-3_1940-2011_rev01	None	None
9e8b6972-c8c8-4472-b9fe-e110f3fd9454	None	EUNIS habitat type F2-3 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-3_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e8b6972-c8c8-4472-b9fe-e110f3fd9454	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f2-3_1940-2011_rev01	None	None
215c61aa-8148-43d8-be5b-a8033855b936	None	EUNIS habitat type G1.7 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-7_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/215c61aa-8148-43d8-be5b-a8033855b936	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-7_1940-2011_rev01	None	None
0394dfb5-d2a3-4025-ba26-af6cf5ea8b9c	None	EUNIS habitat type F9.1b, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-1b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 484 Regularized training gain: 1.4009 Unregularized training gain: 1.5753 Iterations: 500 Training AUC: 0.9273 #Test samples: 53 Test gain: 1.6385 Test AUC: 0.9289 AUC Standard Deviation: 0.012 #Background points: 5484 bio_12_etrs2_ras contribution: 0.8483 bio_15_etrs2_ras contribution: 0.336 bio_18_etrs2_ras contribution: 18.0478 bio_4_etrs2_ras contribution: 35.7082 bio_8_etrs2_ras contribution: 0.4779 bld_m_sd1_1km_eu_ll contribution: 12.7256 cecsum_m_sd1_1km_eu_ll contribution: 0.3013 clyppt_m_sd1_1km_eu_ll contribution: 0.1545 crfvol_m_sd1_1km_eu_ll contribution: 0.3478 dist2water1km contribution: 16.3982 orcdrc_m_sd1_1km_eu_ll contribution: 0 pet_he_yr contribution: 4.7908 phihox_m_sd1_1km_eu_ll contribution: 2.9534 sltppt_m_sd1_1km_eu_ll contribution: 1.3926 sndppt_m_sd1_1km_eu_ll contribution: 0.6835 solar_1km contribution: 4.8341 bio_12_etrs2_ras permutation importance: 0.0724 bio_15_etrs2_ras permutation importance: 0.593 bio_18_etrs2_ras permutation importance: 24.5289 bio_4_etrs2_ras permutation importance: 41.2521 bio_8_etrs2_ras permutation importance: 0.9112 bld_m_sd1_1km_eu_ll permutation importance: 8.3914 cecsum_m_sd1_1km_eu_ll permutation importance: 0.249 clyppt_m_sd1_1km_eu_ll permutation importance: 1.5177 crfvol_m_sd1_1km_eu_ll permutation importance: 0.7012 dist2water1km permutation importance: 4.949 orcdrc_m_sd1_1km_eu_ll permutation importance: 0 pet_he_yr permutation importance: 5.7634 phihox_m_sd1_1km_eu_ll permutation importance: 3.5251 sltppt_m_sd1_1km_eu_ll permutation importance: 0.378 sndppt_m_sd1_1km_eu_ll permutation importance: 3.2679 solar_1km permutation importance: 3.8996 Entropy: 7.2118 Prevalence (average of logistic output over background sites): 0.1205 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0323 Fixed cumulative value 1 area: 0.4004 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.59E-19 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1365 Fixed cumulative value 5 area: 0.2903 Fixed cumulative value 5 training omission: 0.0145 Fixed cumulative value 5 test omission: 0.0377 Fixed cumulative value 5 binomial probability: 2.20E-27 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2026 Fixed cumulative value 10 area: 0.2294 Fixed cumulative value 10 training omission: 0.0413 Fixed cumulative value 10 test omission: 0.0377 Fixed cumulative value 10 binomial probability: 3.36E-37 Minimum training presence cumulative threshold: 1.2939 Minimum training presence logistic threshold: 0.0454 Minimum training presence area: 0.3822 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0189 Minimum training presence binomial probability: 1.44E-19 10 percentile training presence cumulative threshold: 19.7143 10 percentile training presence logistic threshold: 0.3065 10 percentile training presence area: 0.1583 10 percentile training presence training omission: 0.0992 10 percentile training presence test omission: 0.1321 10 percentile training presence binomial probability: 8.80E-46 Equal training sensitivity and specificity cumulative threshold: 23.7832 Equal training sensitivity and specificity logistic threshold: 0.3461 Equal training sensitivity and specificity area: 0.1377 Equal training sensitivity and specificity training omission: 0.1384 Equal training sensitivity and specificity test omission: 0.1321 Equal training sensitivity and specificity binomial probability: 5.19E-54 Maximum training sensitivity plus specificity cumulative threshold: 14.3851 Maximum training sensitivity plus specificity logistic threshold: 0.2532 Maximum training sensitivity plus specificity area: 0.1926 Maximum training sensitivity plus specificity training omission: 0.064 Maximum training sensitivity plus specificity test omission: 0.0943 Maximum training sensitivity plus specificity binomial probability: 6.90E-40 Equal test sensitivity and specificity cumulative threshold: 24.9737 Equal test sensitivity and specificity logistic threshold: 0.3543 Equal test sensitivity and specificity area: 0.132 Equal test sensitivity and specificity training omission: 0.1467 Equal test sensitivity and specificity test omission: 0.1321 Equal test sensitivity and specificity binomial probability: 1.02E-56 Maximum test sensitivity plus specificity cumulative threshold: 25.8445 Maximum test sensitivity plus specificity logistic threshold: 0.3651 Maximum test sensitivity plus specificity area: 0.1282 Maximum test sensitivity plus specificity training omission: 0.1591 Maximum test sensitivity plus specificity test omission: 0.1321 Maximum test sensitivity plus specificity binomial probability: 1.10E-58 Balance training omission, predicted area and threshold value cumulative threshold: 1.2939 Balance training omission, predicted area and threshold value logistic threshold: 0.0454 Balance training omission, predicted area and threshold value area: 0.3822 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0.0189 Balance training omission, predicted area and threshold value binomial probability: 1.44E-19 Equate entropy of thresholded and original distributions cumulative threshold: 8.309 Equate entropy of thresholded and original distributions logistic threshold: 0.1809 Equate entropy of thresholded and original distributions area: 0.2471 Equate entropy of thresholded and original distributions training omission: 0.031 Equate entropy of thresholded and original distributions test omission: 0.0377 Equate entropy of thresholded and original distributions binomial probability: 7.47E-34	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0394dfb5-d2a3-4025-ba26-af6cf5ea8b9c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f9-1b_1940-2011_rev01	None	None
6174a354-c2a4-4b44-b029-d26df6044058	None	EUNIS habitat type F6.1a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1a_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 755 Regularized training gain: 1.2949 Unregularized training gain: 1.3929 Iterations: 500 Training AUC: 0.9066 #Test samples: 83 Test gain: 1.2734 Test AUC: 0.8951 AUC Standard Deviation: 0.0105 #Background points: 5543 bio_12_etrs2_ras contribution: 0.2318 bio_15_etrs2_ras contribution: 6.7018 bio_18_etrs2_ras contribution: 4.066 bio_4_etrs2_ras contribution: 13.2573 bio_8_etrs2_ras contribution: 0.3284 bld_m_sd1_1km_eu_ll contribution: 3.7736 cecsum_m_sd1_1km_eu_ll contribution: 0.3458 clyppt_m_sd1_1km_eu_ll contribution: 8.9195 crfvol_m_sd1_1km_eu_ll contribution: 6.6706 dist2water1km contribution: 0.4612 orcdrc_m_sd1_1km_eu_ll contribution: 0.115 pet_he_yr contribution: 40.1732 sltppt_m_sd1_1km_eu_ll contribution: 0.7076 sndppt_m_sd1_1km_eu_ll contribution: 14.1712 solar_1km contribution: 0.077 bio_12_etrs2_ras permutation importance: 0.7942 bio_15_etrs2_ras permutation importance: 13.2695 bio_18_etrs2_ras permutation importance: 10.9101 bio_4_etrs2_ras permutation importance: 14.5952 bio_8_etrs2_ras permutation importance: 1.2088 bld_m_sd1_1km_eu_ll permutation importance: 7.9741 cecsum_m_sd1_1km_eu_ll permutation importance: 3.1065 clyppt_m_sd1_1km_eu_ll permutation importance: 4.0297 crfvol_m_sd1_1km_eu_ll permutation importance: 10.5767 dist2water1km permutation importance: 0.745 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.2357 pet_he_yr permutation importance: 18.8432 sltppt_m_sd1_1km_eu_ll permutation importance: 0.7303 sndppt_m_sd1_1km_eu_ll permutation importance: 12.4635 solar_1km permutation importance: 0.5175 Training gain without bio_12_etrs2_ras: 1.2928 Training gain without bio_15_etrs2_ras: 1.2621 Training gain without bio_18_etrs2_ras: 1.2884 Training gain without bio_4_etrs2_ras: 1.2594 Training gain without bio_8_etrs2_ras: 1.2935 Training gain without bld_m_sd1_1km_eu_ll: 1.2758 Training gain without cecsum_m_sd1_1km_eu_ll: 1.292 Training gain without clyppt_m_sd1_1km_eu_ll: 1.2902 Training gain without crfvol_m_sd1_1km_eu_ll: 1.2733 Training gain without dist2water1km: 1.2911 Training gain without orcdrc_m_sd1_1km_eu_ll: 1.294 Training gain without pet_he_yr: 1.2679 Training gain without sltppt_m_sd1_1km_eu_ll: 1.2942 Training gain without sndppt_m_sd1_1km_eu_ll: 1.2835 Training gain without solar_1km: 1.2952 Training gain with only bio_12_etrs2_ras: 0.2033 Training gain with only bio_15_etrs2_ras: 0.1337 Training gain with only bio_18_etrs2_ras: 0.5914 Training gain with only bio_4_etrs2_ras: 0.3227 Training gain with only bio_8_etrs2_ras: 0.1846 Training gain with only bld_m_sd1_1km_eu_ll: 0.4475 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.3033 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.6491 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.349 Training gain with only dist2water1km: 0.0159 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.1721 Training gain with only pet_he_yr: 0.7536 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.3141 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.6153 Training gain with only solar_1km: 0.2031 Test gain without bio_12_etrs2_ras: 1.2825 Test gain without bio_15_etrs2_ras: 1.255 Test gain without bio_18_etrs2_ras: 1.2774 Test gain without bio_4_etrs2_ras: 1.2277 Test gain without bio_8_etrs2_ras: 1.2675 Test gain without bld_m_sd1_1km_eu_ll: 1.2571 Test gain without cecsum_m_sd1_1km_eu_ll: 1.2775 Test gain without clyppt_m_sd1_1km_eu_ll: 1.2518 Test gain without crfvol_m_sd1_1km_eu_ll: 1.2364 Test gain without dist2water1km: 1.2812 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.2564 Test gain without pet_he_yr: 1.2776 Test gain without sltppt_m_sd1_1km_eu_ll: 1.271 Test gain without sndppt_m_sd1_1km_eu_ll: 1.2635 Test gain without solar_1km: 1.2776 Test gain with only bio_12_etrs2_ras: 0.1371 Test gain with only bio_15_etrs2_ras: 0.0859 Test gain with only bio_18_etrs2_ras: 0.4889 Test gain with only bio_4_etrs2_ras: 0.3427 Test gain with only bio_8_etrs2_ras: 0.2839 Test gain with only bld_m_sd1_1km_eu_ll: 0.378 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.263 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.7177 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.4066 Test gain with only dist2water1km: 0.0075 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.0822 Test gain with only pet_he_yr: 0.6418 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.3907 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.6685 Test gain with only solar_1km: 0.088 AUC without bio_12_etrs2_ras: 0.896 AUC without bio_15_etrs2_ras: 0.8933 AUC without bio_18_etrs2_ras: 0.895 AUC without bio_4_etrs2_ras: 0.8904 AUC without bio_8_etrs2_ras: 0.894 AUC without bld_m_sd1_1km_eu_ll: 0.8931 AUC without cecsum_m_sd1_1km_eu_ll: 0.8955 AUC without clyppt_m_sd1_1km_eu_ll: 0.8925 AUC without crfvol_m_sd1_1km_eu_ll: 0.8915 AUC without dist2water1km: 0.8957 AUC without orcdrc_m_sd1_1km_eu_ll: 0.8932 AUC without pet_he_yr: 0.8949 AUC without sltppt_m_sd1_1km_eu_ll: 0.8947 AUC without sndppt_m_sd1_1km_eu_ll: 0.8939 AUC without solar_1km: 0.8957 AUC with only bio_12_etrs2_ras: 0.6478 AUC with only bio_15_etrs2_ras: 0.6199 AUC with only bio_18_etrs2_ras: 0.7713 AUC with only bio_4_etrs2_ras: 0.6868 AUC with only bio_8_etrs2_ras: 0.7145 AUC with only bld_m_sd1_1km_eu_ll: 0.7456 AUC with only cecsum_m_sd1_1km_eu_ll: 0.689 AUC with only clyppt_m_sd1_1km_eu_ll: 0.8055 AUC with only crfvol_m_sd1_1km_eu_ll: 0.7155 AUC with only dist2water1km: 0.5635 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.6267 AUC with only pet_he_yr: 0.7974 AUC with only sltppt_m_sd1_1km_eu_ll: 0.7242 AUC with only sndppt_m_sd1_1km_eu_ll: 0.804 AUC with only solar_1km: 0.6293 Entropy: 7.3276 Prevalence (average of logistic output over background sites): 0.1336 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0309 Fixed cumulative value 1 area: 0.3877 Fixed cumulative value 1 training omission: 0.0066 Fixed cumulative value 1 test omission: 0.012 Fixed cumulative value 1 binomial probability: 1.56E-29 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1715 Fixed cumulative value 5 area: 0.2652 Fixed cumulative value 5 training omission: 0.0252 Fixed cumulative value 5 test omission: 0.0482 Fixed cumulative value 5 binomial probability: 7.00E-46 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2808 Fixed cumulative value 10 area: 0.2185 Fixed cumulative value 10 training omission: 0.045 Fixed cumulative value 10 test omission: 0.0843 Fixed cumulative value 10 binomial probability: 1.27E-53 Minimum training presence cumulative threshold: 0.0978 Minimum training presence logistic threshold: 0.0033 Minimum training presence area: 0.5786 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.76E-15 10 percentile training presence cumulative threshold: 15.2489 10 percentile training presence logistic threshold: 0.3627 10 percentile training presence area: 0.1887 10 percentile training presence training omission: 0.0993 10 percentile training presence test omission: 0.0964 10 percentile training presence binomial probability: 1.62E-62 Equal training sensitivity and specificity cumulative threshold: 21.0523 Equal training sensitivity and specificity logistic threshold: 0.4111 Equal training sensitivity and specificity area: 0.1636 Equal training sensitivity and specificity training omission: 0.1642 Equal training sensitivity and specificity test omission: 0.1928 Equal training sensitivity and specificity binomial probability: 7.05E-57 Maximum training sensitivity plus specificity cumulative threshold: 10.1536 Maximum training sensitivity plus specificity logistic threshold: 0.2825 Maximum training sensitivity plus specificity area: 0.2174 Maximum training sensitivity plus specificity training omission: 0.045 Maximum training sensitivity plus specificity test omission: 0.0843 Maximum training sensitivity plus specificity binomial probability: 5.73E-54 Equal test sensitivity and specificity cumulative threshold: 19.4655 Equal test sensitivity and specificity logistic threshold: 0.3992 Equal test sensitivity and specificity area: 0.1699 Equal test sensitivity and specificity training omission: 0.143 Equal test sensitivity and specificity test omission: 0.1687 Equal test sensitivity and specificity binomial probability: 3.20E-58 Maximum test sensitivity plus specificity cumulative threshold: 15.6974 Maximum test sensitivity plus specificity logistic threshold: 0.3687 Maximum test sensitivity plus specificity area: 0.1865 Maximum test sensitivity plus specificity training omission: 0.102 Maximum test sensitivity plus specificity test omission: 0.0964 Maximum test sensitivity plus specificity binomial probability: 2.00E-63 Balance training omission, predicted area and threshold value cumulative threshold: 2.0331 Balance training omission, predicted area and threshold value logistic threshold: 0.067 Balance training omission, predicted area and threshold value area: 0.3294 Balance training omission, predicted area and threshold value training omission: 0.0132 Balance training omission, predicted area and threshold value test omission: 0.0241 Balance training omission, predicted area and threshold value binomial probability: 2.52E-36 Equate entropy of thresholded and original distributions cumulative threshold: 4.3713 Equate entropy of thresholded and original distributions logistic threshold: 0.1483 Equate entropy of thresholded and original distributions area: 0.2744 Equate entropy of thresholded and original distributions training omission: 0.0199 Equate entropy of thresholded and original distributions test omission: 0.0482 Equate entropy of thresholded and original distributions binomial probability: 8.30E-44	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6174a354-c2a4-4b44-b029-d26df6044058	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f6-1a_1940-2011_rev01	None	None
f0347a86-738d-40ee-8358-8a564c986dca	None	EUNIS habitat type G1.8, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-8_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 2368 Regularized training gain: 0.9878 Unregularized training gain: 1.0481 Iterations: 500 Training AUC: 0.8628 #Test samples: 263 Test gain: 1.0651 Test AUC: 0.863 AUC Standard Deviation: 0.0064 #Background points: 12363 bio_12_etrs2_ras contribution: 0.1128 bio_15_etrs2_ras contribution: 1.4857 bio_18_etrs2_ras contribution: 21.5749 bio_4_etrs2_ras contribution: 58.255 bio_8_etrs2_ras contribution: 0.2729 dist2water1km contribution: 0.0045 pet_he_yr contribution: 14.6326 soil_ph contribution: 0.7197 solar_1km contribution: 2.9419 bio_12_etrs2_ras permutation importance: 0.9595 bio_15_etrs2_ras permutation importance: 0.9637 bio_18_etrs2_ras permutation importance: 16.9937 bio_4_etrs2_ras permutation importance: 59.872 bio_8_etrs2_ras permutation importance: 0.8316 dist2water1km permutation importance: 0.0386 pet_he_yr permutation importance: 16.1328 soil_ph permutation importance: 0.6691 solar_1km permutation importance: 3.539 Entropy: 8.4372 Prevalence (average of logistic output over background sites): 0.1835 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0631 Fixed cumulative value 1 area: 0.4362 Fixed cumulative value 1 training omission: 0.0042 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2271 Fixed cumulative value 5 area: 0.35 Fixed cumulative value 5 training omission: 0.0236 Fixed cumulative value 5 test omission: 0.0114 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3212 Fixed cumulative value 10 area: 0.3014 Fixed cumulative value 10 training omission: 0.0714 Fixed cumulative value 10 test omission: 0.0646 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0968 Minimum training presence logistic threshold: 0.0029 Minimum training presence area: 0.6497 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 5.34E-33 10 percentile training presence cumulative threshold: 12.5828 10 percentile training presence logistic threshold: 0.3507 10 percentile training presence area: 0.2823 10 percentile training presence training omission: 0.0997 10 percentile training presence test omission: 0.0989 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 24.4193 Equal training sensitivity and specificity logistic threshold: 0.4588 Equal training sensitivity and specificity area: 0.2185 Equal training sensitivity and specificity training omission: 0.2183 Equal training sensitivity and specificity test omission: 0.2395 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.0176 Maximum training sensitivity plus specificity logistic threshold: 0.2921 Maximum training sensitivity plus specificity area: 0.3181 Maximum training sensitivity plus specificity training omission: 0.0494 Maximum training sensitivity plus specificity test omission: 0.0342 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 23.1332 Equal test sensitivity and specificity logistic threshold: 0.4513 Equal test sensitivity and specificity area: 0.2243 Equal test sensitivity and specificity training omission: 0.2073 Equal test sensitivity and specificity test omission: 0.2243 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 7.9676 Maximum test sensitivity plus specificity logistic threshold: 0.2914 Maximum test sensitivity plus specificity area: 0.3186 Maximum test sensitivity plus specificity training omission: 0.0494 Maximum test sensitivity plus specificity test omission: 0.0304 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.2849 Balance training omission, predicted area and threshold value logistic threshold: 0.0851 Balance training omission, predicted area and threshold value area: 0.423 Balance training omission, predicted area and threshold value training omission: 0.0051 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 3.3697 Equate entropy of thresholded and original distributions logistic threshold: 0.1877 Equate entropy of thresholded and original distributions area: 0.3733 Equate entropy of thresholded and original distributions training omission: 0.0139 Equate entropy of thresholded and original distributions test omission: 0.0038 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0347a86-738d-40ee-8358-8a564c986dca	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-8_1940-2011_rev01	None	None
9312f79c-94fe-4d15-90c2-8371fb28826f	None	EUNIS habitat type F9.3, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-3_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 198 Regularized training gain: 2.3239 Unregularized training gain: 2.5425 Iterations: 500 Training AUC: 0.972 #Test samples: 22 Test gain: 2.3505 Test AUC: 0.9649 AUC Standard Deviation: 0.0068 #Background points: 5140 bio_12_etrs2_ras contribution: 0.4784 bio_15_etrs2_ras contribution: 3.1528 bio_18_etrs2_ras contribution: 38.0612 bio_4_etrs2_ras contribution: 0.1564 bio_8_etrs2_ras contribution: 0.8456 bld_m_sd1_1km_eu_ll contribution: 35.2455 cecsum_m_sd1_1km_eu_ll contribution: 0.0865 clyppt_m_sd1_1km_eu_ll contribution: 7.2877 crfvol_m_sd1_1km_eu_ll contribution: 0.5201 dist2water1km contribution: 0.1944 orcdrc_m_sd1_1km_eu_ll contribution: 0.29 pet_he_yr contribution: 7.2959 sltppt_m_sd1_1km_eu_ll contribution: 2.3526 sndppt_m_sd1_1km_eu_ll contribution: 0.8838 solar_1km contribution: 3.1492 bio_12_etrs2_ras permutation importance: 0.0878 bio_15_etrs2_ras permutation importance: 6.5436 bio_18_etrs2_ras permutation importance: 59.4637 bio_4_etrs2_ras permutation importance: 0.9375 bio_8_etrs2_ras permutation importance: 2.7788 bld_m_sd1_1km_eu_ll permutation importance: 3.756 cecsum_m_sd1_1km_eu_ll permutation importance: 0.8737 clyppt_m_sd1_1km_eu_ll permutation importance: 10.267 crfvol_m_sd1_1km_eu_ll permutation importance: 3.1304 dist2water1km permutation importance: 0.4427 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.7543 pet_he_yr permutation importance: 3.5857 sltppt_m_sd1_1km_eu_ll permutation importance: 2.037 sndppt_m_sd1_1km_eu_ll permutation importance: 0.31 solar_1km permutation importance: 5.0318 Training gain without bio_12_etrs2_ras: 2.3214 Training gain without bio_15_etrs2_ras: 2.2756 Training gain without bio_18_etrs2_ras: 2.302 Training gain without bio_4_etrs2_ras: 2.32 Training gain without bio_8_etrs2_ras: 2.3084 Training gain without bld_m_sd1_1km_eu_ll: 2.325 Training gain without cecsum_m_sd1_1km_eu_ll: 2.3229 Training gain without clyppt_m_sd1_1km_eu_ll: 2.3078 Training gain without crfvol_m_sd1_1km_eu_ll: 2.2911 Training gain without dist2water1km: 2.3186 Training gain without orcdrc_m_sd1_1km_eu_ll: 2.3237 Training gain without pet_he_yr: 2.3023 Training gain without sltppt_m_sd1_1km_eu_ll: 2.3202 Training gain without sndppt_m_sd1_1km_eu_ll: 2.3193 Training gain without solar_1km: 2.3129 Training gain with only bio_12_etrs2_ras: 0.6892 Training gain with only bio_15_etrs2_ras: 1.0505 Training gain with only bio_18_etrs2_ras: 1.6658 Training gain with only bio_4_etrs2_ras: 0.305 Training gain with only bio_8_etrs2_ras: 0.4187 Training gain with only bld_m_sd1_1km_eu_ll: 1.6355 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.2501 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.9911 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.3139 Training gain with only dist2water1km: 0.0781 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.7096 Training gain with only pet_he_yr: 1.563 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.2563 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.4807 Training gain with only solar_1km: 0.52 Test gain without bio_12_etrs2_ras: 2.3239 Test gain without bio_15_etrs2_ras: 2.3132 Test gain without bio_18_etrs2_ras: 2.359 Test gain without bio_4_etrs2_ras: 2.3115 Test gain without bio_8_etrs2_ras: 2.3134 Test gain without bld_m_sd1_1km_eu_ll: 2.2592 Test gain without cecsum_m_sd1_1km_eu_ll: 2.3481 Test gain without clyppt_m_sd1_1km_eu_ll: 2.295 Test gain without crfvol_m_sd1_1km_eu_ll: 2.3769 Test gain without dist2water1km: 2.3254 Test gain without orcdrc_m_sd1_1km_eu_ll: 2.381 Test gain without pet_he_yr: 2.2282 Test gain without sltppt_m_sd1_1km_eu_ll: 2.2967 Test gain without sndppt_m_sd1_1km_eu_ll: 2.2821 Test gain without solar_1km: 2.3615 Test gain with only bio_12_etrs2_ras: 1.0251 Test gain with only bio_15_etrs2_ras: 0.8818 Test gain with only bio_18_etrs2_ras: 1.8308 Test gain with only bio_4_etrs2_ras: 0.3942 Test gain with only bio_8_etrs2_ras: 0.5683 Test gain with only bld_m_sd1_1km_eu_ll: 1.6782 Test gain with only cecsum_m_sd1_1km_eu_ll: -0.0869 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.8157 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.1303 Test gain with only dist2water1km: 0.2204 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.6504 Test gain with only pet_he_yr: 1.9534 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.3548 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.287 Test gain with only solar_1km: 0.2802 AUC without bio_12_etrs2_ras: 0.9636 AUC without bio_15_etrs2_ras: 0.9633 AUC without bio_18_etrs2_ras: 0.9653 AUC without bio_4_etrs2_ras: 0.9635 AUC without bio_8_etrs2_ras: 0.9634 AUC without bld_m_sd1_1km_eu_ll: 0.9619 AUC without cecsum_m_sd1_1km_eu_ll: 0.9645 AUC without clyppt_m_sd1_1km_eu_ll: 0.9625 AUC without crfvol_m_sd1_1km_eu_ll: 0.9656 AUC without dist2water1km: 0.9631 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9656 AUC without pet_he_yr: 0.9601 AUC without sltppt_m_sd1_1km_eu_ll: 0.963 AUC without sndppt_m_sd1_1km_eu_ll: 0.9623 AUC without solar_1km: 0.9651 AUC with only bio_12_etrs2_ras: 0.8486 AUC with only bio_15_etrs2_ras: 0.8469 AUC with only bio_18_etrs2_ras: 0.9391 AUC with only bio_4_etrs2_ras: 0.7473 AUC with only bio_8_etrs2_ras: 0.7807 AUC with only bld_m_sd1_1km_eu_ll: 0.9361 AUC with only cecsum_m_sd1_1km_eu_ll: 0.5654 AUC with only clyppt_m_sd1_1km_eu_ll: 0.8411 AUC with only crfvol_m_sd1_1km_eu_ll: 0.6483 AUC with only dist2water1km: 0.7084 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.8126 AUC with only pet_he_yr: 0.9497 AUC with only sltppt_m_sd1_1km_eu_ll: 0.7377 AUC with only sndppt_m_sd1_1km_eu_ll: 0.6992 AUC with only solar_1km: 0.7147 Entropy: 6.2387 Prevalence (average of logistic output over background sites): 0.048 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0166 Fixed cumulative value 1 area: 0.1745 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.09E-17 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.125 Fixed cumulative value 5 area: 0.1089 Fixed cumulative value 5 training omission: 0.0152 Fixed cumulative value 5 test omission: 0.0455 Fixed cumulative value 5 binomial probability: 1.19E-19 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.218 Fixed cumulative value 10 area: 0.0844 Fixed cumulative value 10 training omission: 0.0455 Fixed cumulative value 10 test omission: 0.0909 Fixed cumulative value 10 binomial probability: 6.63E-20 Minimum training presence cumulative threshold: 1.1601 Minimum training presence logistic threshold: 0.0213 Minimum training presence area: 0.1663 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 7.28E-18 10 percentile training presence cumulative threshold: 20.3928 10 percentile training presence logistic threshold: 0.3493 10 percentile training presence area: 0.0582 10 percentile training presence training omission: 0.096 10 percentile training presence test omission: 0.1818 10 percentile training presence binomial probability: 3.39E-19 Equal training sensitivity and specificity cumulative threshold: 14.5887 Equal training sensitivity and specificity logistic threshold: 0.2787 Equal training sensitivity and specificity area: 0.0706 Equal training sensitivity and specificity training omission: 0.0707 Equal training sensitivity and specificity test omission: 0.0909 Equal training sensitivity and specificity binomial probability: 1.91E-21 Maximum training sensitivity plus specificity cumulative threshold: 5.5286 Maximum training sensitivity plus specificity logistic threshold: 0.1362 Maximum training sensitivity plus specificity area: 0.1053 Maximum training sensitivity plus specificity training omission: 0.0152 Maximum training sensitivity plus specificity test omission: 0.0455 Maximum training sensitivity plus specificity binomial probability: 5.80E-20 Equal test sensitivity and specificity cumulative threshold: 9.7867 Equal test sensitivity and specificity logistic threshold: 0.2133 Equal test sensitivity and specificity area: 0.0852 Equal test sensitivity and specificity training omission: 0.0455 Equal test sensitivity and specificity test omission: 0.0909 Equal test sensitivity and specificity binomial probability: 7.95E-20 Maximum test sensitivity plus specificity cumulative threshold: 3.1746 Maximum test sensitivity plus specificity logistic threshold: 0.0853 Maximum test sensitivity plus specificity area: 0.1243 Maximum test sensitivity plus specificity training omission: 0.0101 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.20E-20 Balance training omission, predicted area and threshold value cumulative threshold: 1.1601 Balance training omission, predicted area and threshold value logistic threshold: 0.0213 Balance training omission, predicted area and threshold value area: 0.1663 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 7.28E-18 Equate entropy of thresholded and original distributions cumulative threshold: 6.5344 Equate entropy of thresholded and original distributions logistic threshold: 0.155 Equate entropy of thresholded and original distributions area: 0.0996 Equate entropy of thresholded and original distributions training omission: 0.0253 Equate entropy of thresholded and original distributions test omission: 0.0455 Equate entropy of thresholded and original distributions binomial probability: 1.83E-20	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9312f79c-94fe-4d15-90c2-8371fb28826f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f9-3_1940-2011_rev01	None	None
8638744c-5d3a-4c71-9dab-f4cf49e5908b	None	EUNIS habitat type F3.1g, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1g_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 477 Regularized training gain: 1.336 Unregularized training gain: 1.5094 Iterations: 500 Training AUC: 0.9214 #Test samples: 53 Test gain: 1.4334 Test AUC: 0.9127 AUC Standard Deviation: 0.0117 #Background points: 5476 bio_12_etrs2_ras contribution: 21.3753 bio_15_etrs2_ras contribution: 1.4767 bio_18_etrs2_ras contribution: 3.8228 bio_4_etrs2_ras contribution: 38.4785 bio_8_etrs2_ras contribution: 0.5229 bld_m_sd1_1km_eu_ll contribution: 6.9894 cecsum_m_sd1_1km_eu_ll contribution: 1.5709 clyppt_m_sd1_1km_eu_ll contribution: 6.0154 crfvol_m_sd1_1km_eu_ll contribution: 4.1324 dist2water1km contribution: 0.3184 orcdrc_m_sd1_1km_eu_ll contribution: 0.9897 pet_he_yr contribution: 13.4663 phihox_m_sd1_1km_eu_ll contribution: 0.2333 sltppt_m_sd1_1km_eu_ll contribution: 0.1342 sndppt_m_sd1_1km_eu_ll contribution: 0.4396 solar_1km contribution: 0.0344 bio_12_etrs2_ras permutation importance: 2.1368 bio_15_etrs2_ras permutation importance: 5.4331 bio_18_etrs2_ras permutation importance: 6.7422 bio_4_etrs2_ras permutation importance: 44.9368 bio_8_etrs2_ras permutation importance: 1.7816 bld_m_sd1_1km_eu_ll permutation importance: 4.1575 cecsum_m_sd1_1km_eu_ll permutation importance: 5.7108 clyppt_m_sd1_1km_eu_ll permutation importance: 1.9402 crfvol_m_sd1_1km_eu_ll permutation importance: 7.6498 dist2water1km permutation importance: 0.3067 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.9113 pet_he_yr permutation importance: 15.4077 phihox_m_sd1_1km_eu_ll permutation importance: 1.0707 sltppt_m_sd1_1km_eu_ll permutation importance: 0.7499 sndppt_m_sd1_1km_eu_ll permutation importance: 0.9865 solar_1km permutation importance: 0.0784 Entropy: 7.2766 Prevalence (average of logistic output over background sites): 0.1284 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0252 Fixed cumulative value 1 area: 0.4246 Fixed cumulative value 1 training omission: 0.0021 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.17E-17 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1414 Fixed cumulative value 5 area: 0.2812 Fixed cumulative value 5 training omission: 0.0189 Fixed cumulative value 5 test omission: 0.0377 Fixed cumulative value 5 binomial probability: 1.41E-28 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2437 Fixed cumulative value 10 area: 0.2255 Fixed cumulative value 10 training omission: 0.0503 Fixed cumulative value 10 test omission: 0.0755 Fixed cumulative value 10 binomial probability: 2.08E-34 Minimum training presence cumulative threshold: 0.9217 Minimum training presence logistic threshold: 0.0234 Minimum training presence area: 0.433 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 4.00E-17 10 percentile training presence cumulative threshold: 18.1671 10 percentile training presence logistic threshold: 0.3403 10 percentile training presence area: 0.174 10 percentile training presence training omission: 0.0985 10 percentile training presence test omission: 0.1509 10 percentile training presence binomial probability: 1.01E-38 Equal training sensitivity and specificity cumulative threshold: 23.2055 Equal training sensitivity and specificity logistic threshold: 0.3783 Equal training sensitivity and specificity area: 0.1503 Equal training sensitivity and specificity training omission: 0.1509 Equal training sensitivity and specificity test omission: 0.2075 Equal training sensitivity and specificity binomial probability: 2.08E-39 Maximum training sensitivity plus specificity cumulative threshold: 15.887 Maximum training sensitivity plus specificity logistic threshold: 0.32 Maximum training sensitivity plus specificity area: 0.1863 Maximum training sensitivity plus specificity training omission: 0.0797 Maximum training sensitivity plus specificity test omission: 0.1321 Maximum training sensitivity plus specificity binomial probability: 1.63E-37 Equal test sensitivity and specificity cumulative threshold: 19.0346 Equal test sensitivity and specificity logistic threshold: 0.3465 Equal test sensitivity and specificity area: 0.1698 Equal test sensitivity and specificity training omission: 0.1111 Equal test sensitivity and specificity test omission: 0.1698 Equal test sensitivity and specificity binomial probability: 7.85E-38 Maximum test sensitivity plus specificity cumulative threshold: 14.968 Maximum test sensitivity plus specificity logistic threshold: 0.3093 Maximum test sensitivity plus specificity area: 0.1916 Maximum test sensitivity plus specificity training omission: 0.0797 Maximum test sensitivity plus specificity test omission: 0.0943 Maximum test sensitivity plus specificity binomial probability: 3.82E-40 Balance training omission, predicted area and threshold value cumulative threshold: 2.5523 Balance training omission, predicted area and threshold value logistic threshold: 0.074 Balance training omission, predicted area and threshold value area: 0.3358 Balance training omission, predicted area and threshold value training omission: 0.0063 Balance training omission, predicted area and threshold value test omission: 0.0189 Balance training omission, predicted area and threshold value binomial probability: 1.30E-23 Equate entropy of thresholded and original distributions cumulative threshold: 6.1855 Equate entropy of thresholded and original distributions logistic threshold: 0.169 Equate entropy of thresholded and original distributions area: 0.2641 Equate entropy of thresholded and original distributions training omission: 0.0294 Equate entropy of thresholded and original distributions test omission: 0.0566 Equate entropy of thresholded and original distributions binomial probability: 1.65E-29	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8638744c-5d3a-4c71-9dab-f4cf49e5908b	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1g_1940-2011_rev01	None	None
76691d8d-4d47-4a66-b0fa-fcb2cfa790c1	None	EUNIS habitat type F7-1 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-1_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76691d8d-4d47-4a66-b0fa-fcb2cfa790c1	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f7-1_1940-2011_rev01	None	None
ac3b92e7-94e5-4016-897c-818c8be0abf6	None	EUNIS habitat type B1.7, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-7_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 128 Regularized training gain: 3.0309 Unregularized training gain: 3.4058 Iterations: 500 Training AUC: 0.987 #Test samples: 14 Test gain: 3.5723 Test AUC: 0.9904 AUC Standard Deviation: 0.0028 #Background points: 10128 bio_12_etrs2_ras contribution: 1.018 bio_15_etrs2_ras contribution: 8.5057 bio_18_etrs2_ras contribution: 1.2786 bio_4_etrs2_ras contribution: 39.5222 bio_8_etrs2_ras contribution: 15.8472 dist2water1km contribution: 0.947 pet_he_yr contribution: 0.9996 soil_ph contribution: 0.3234 solar_1km contribution: 31.5583 bio_12_etrs2_ras permutation importance: 1.1557 bio_15_etrs2_ras permutation importance: 4.112 bio_18_etrs2_ras permutation importance: 1.6354 bio_4_etrs2_ras permutation importance: 68.7488 bio_8_etrs2_ras permutation importance: 5.0543 dist2water1km permutation importance: 0.3743 pet_he_yr permutation importance: 0.7581 soil_ph permutation importance: 0.1484 solar_1km permutation importance: 18.0129 Entropy: 6.2021 Prevalence (average of logistic output over background sites): 0.0223 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0036 Fixed cumulative value 1 area: 0.2741 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.35E-08 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.031 Fixed cumulative value 5 area: 0.1037 Fixed cumulative value 5 training omission: 0.0078 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.66E-14 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.0831 Fixed cumulative value 10 area: 0.0581 Fixed cumulative value 10 training omission: 0.0469 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 4.94E-18 Minimum training presence cumulative threshold: 4.3626 Minimum training presence logistic threshold: 0.0265 Minimum training presence area: 0.1142 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 6.45E-14 10 percentile training presence cumulative threshold: 15.4845 10 percentile training presence logistic threshold: 0.1588 10 percentile training presence area: 0.0374 10 percentile training presence training omission: 0.0938 10 percentile training presence test omission: 0.0714 10 percentile training presence binomial probability: 3.81E-18 Equal training sensitivity and specificity cumulative threshold: 12.0954 Equal training sensitivity and specificity logistic threshold: 0.1082 Equal training sensitivity and specificity area: 0.0483 Equal training sensitivity and specificity training omission: 0.0469 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 3.74E-19 Maximum training sensitivity plus specificity cumulative threshold: 12.0954 Maximum training sensitivity plus specificity logistic threshold: 0.1082 Maximum training sensitivity plus specificity area: 0.0483 Maximum training sensitivity plus specificity training omission: 0.0469 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 3.74E-19 Equal test sensitivity and specificity cumulative threshold: 15.2977 Equal test sensitivity and specificity logistic threshold: 0.1539 Equal test sensitivity and specificity area: 0.0379 Equal test sensitivity and specificity training omission: 0.0859 Equal test sensitivity and specificity test omission: 0.0714 Equal test sensitivity and specificity binomial probability: 4.52E-18 Maximum test sensitivity plus specificity cumulative threshold: 15.2927 Maximum test sensitivity plus specificity logistic threshold: 0.1537 Maximum test sensitivity plus specificity area: 0.0379 Maximum test sensitivity plus specificity training omission: 0.0859 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.27E-20 Balance training omission, predicted area and threshold value cumulative threshold: 3.4843 Balance training omission, predicted area and threshold value logistic threshold: 0.0191 Balance training omission, predicted area and threshold value area: 0.1328 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 5.31E-13 Equate entropy of thresholded and original distributions cumulative threshold: 12.022 Equate entropy of thresholded and original distributions logistic threshold: 0.1074 Equate entropy of thresholded and original distributions area: 0.0487 Equate entropy of thresholded and original distributions training omission: 0.0469 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 4.19E-19	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b92e7-94e5-4016-897c-818c8be0abf6	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b1-7_1940-2011_rev01	None	None
5bcc499a-8924-40a2-8437-ead942a5d9d2	None	EUNIS habitat type G1.6b distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bcc499a-8924-40a2-8437-ead942a5d9d2	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-6b_1940-2011_rev01	None	None
9670883f-53d0-43b8-8d1a-d65e3a076877	None	EUNIS habitat type F3-1a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9670883f-53d0-43b8-8d1a-d65e3a076877	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1a_1940-2011_rev01	None	None
6b209f5f-7292-46b4-b59f-74d0dccf53ee	None	EUNIS habitat type F2-1 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b209f5f-7292-46b4-b59f-74d0dccf53ee	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f2-1_1940-2011_rev01	None	None
cb23d43e-5495-4ab9-861e-1c2d13db33e2	None	EUNIS habitat type F3.1a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 261 Regularized training gain: 1.451 Unregularized training gain: 1.6818 Iterations: 500 Training AUC: 0.9294 #Test samples: 28 Test gain: 1.6294 Test AUC: 0.9168 AUC Standard Deviation: 0.0248 #Background points: 5261 bio_12_etrs2_ras contribution: 16.9278 bio_15_etrs2_ras contribution: 1.7383 bio_18_etrs2_ras contribution: 3.0896 bio_4_etrs2_ras contribution: 47.2878 bio_8_etrs2_ras contribution: 1.1727 bld_m_sd1_1km_eu_ll contribution: 2.8954 cecsum_m_sd1_1km_eu_ll contribution: 0.1047 clyppt_m_sd1_1km_eu_ll contribution: 0.2259 crfvol_m_sd1_1km_eu_ll contribution: 4.1454 dist2water1km contribution: 0.0476 orcdrc_m_sd1_1km_eu_ll contribution: 0.8552 pet_he_yr contribution: 11.6802 phihox_m_sd1_1km_eu_ll contribution: 0.3306 sltppt_m_sd1_1km_eu_ll contribution: 0.4748 sndppt_m_sd1_1km_eu_ll contribution: 2.8708 solar_1km contribution: 6.1532 bio_12_etrs2_ras permutation importance: 11.098 bio_15_etrs2_ras permutation importance: 1.4671 bio_18_etrs2_ras permutation importance: 3.3948 bio_4_etrs2_ras permutation importance: 39.0025 bio_8_etrs2_ras permutation importance: 0.9225 bld_m_sd1_1km_eu_ll permutation importance: 2.9407 cecsum_m_sd1_1km_eu_ll permutation importance: 0.3514 clyppt_m_sd1_1km_eu_ll permutation importance: 1.0385 crfvol_m_sd1_1km_eu_ll permutation importance: 13.2838 dist2water1km permutation importance: 0.3511 orcdrc_m_sd1_1km_eu_ll permutation importance: 2.4478 pet_he_yr permutation importance: 15.1798 phihox_m_sd1_1km_eu_ll permutation importance: 2.9375 sltppt_m_sd1_1km_eu_ll permutation importance: 2.438 sndppt_m_sd1_1km_eu_ll permutation importance: 0.9287 solar_1km permutation importance: 2.2179 Entropy: 7.1344 Prevalence (average of logistic output over background sites): 0.1155 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0186 Fixed cumulative value 1 area: 0.5052 Fixed cumulative value 1 training omission: 0.0115 Fixed cumulative value 1 test omission: 0.0357 Fixed cumulative value 1 binomial probability: 5.91E-07 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0954 Fixed cumulative value 5 area: 0.3203 Fixed cumulative value 5 training omission: 0.0307 Fixed cumulative value 5 test omission: 0.0357 Fixed cumulative value 5 binomial probability: 1.40E-13 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1694 Fixed cumulative value 10 area: 0.2387 Fixed cumulative value 10 training omission: 0.0651 Fixed cumulative value 10 test omission: 0.1071 Fixed cumulative value 10 binomial probability: 2.35E-16 Minimum training presence cumulative threshold: 0.5143 Minimum training presence logistic threshold: 0.0103 Minimum training presence area: 0.587 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0357 Minimum training presence binomial probability: 2.51E-05 10 percentile training presence cumulative threshold: 18.2675 10 percentile training presence logistic threshold: 0.2609 10 percentile training presence area: 0.1671 10 percentile training presence training omission: 0.0996 10 percentile training presence test omission: 0.1786 10 percentile training presence binomial probability: 8.34E-21 Equal training sensitivity and specificity cumulative threshold: 22.3303 Equal training sensitivity and specificity logistic threshold: 0.3025 Equal training sensitivity and specificity area: 0.1426 Equal training sensitivity and specificity training omission: 0.1418 Equal training sensitivity and specificity test omission: 0.2143 Equal training sensitivity and specificity binomial probability: 1.08E-22 Maximum training sensitivity plus specificity cumulative threshold: 18.2675 Maximum training sensitivity plus specificity logistic threshold: 0.2609 Maximum training sensitivity plus specificity area: 0.1671 Maximum training sensitivity plus specificity training omission: 0.0996 Maximum training sensitivity plus specificity test omission: 0.1786 Maximum training sensitivity plus specificity binomial probability: 8.34E-21 Equal test sensitivity and specificity cumulative threshold: 16.6662 Equal test sensitivity and specificity logistic threshold: 0.2475 Equal test sensitivity and specificity area: 0.1785 Equal test sensitivity and specificity training omission: 0.0958 Equal test sensitivity and specificity test omission: 0.1786 Equal test sensitivity and specificity binomial probability: 3.20E-19 Maximum test sensitivity plus specificity cumulative threshold: 36.3306 Maximum test sensitivity plus specificity logistic threshold: 0.4278 Maximum test sensitivity plus specificity area: 0.0842 Maximum test sensitivity plus specificity training omission: 0.2759 Maximum test sensitivity plus specificity test omission: 0.2143 Maximum test sensitivity plus specificity binomial probability: 4.69E-41 Balance training omission, predicted area and threshold value cumulative threshold: 3.5127 Balance training omission, predicted area and threshold value logistic threshold: 0.072 Balance training omission, predicted area and threshold value area: 0.3592 Balance training omission, predicted area and threshold value training omission: 0.0192 Balance training omission, predicted area and threshold value test omission: 0.0357 Balance training omission, predicted area and threshold value binomial probability: 1.25E-11 Equate entropy of thresholded and original distributions cumulative threshold: 10.0342 Equate entropy of thresholded and original distributions logistic threshold: 0.1695 Equate entropy of thresholded and original distributions area: 0.2384 Equate entropy of thresholded and original distributions training omission: 0.0651 Equate entropy of thresholded and original distributions test omission: 0.1071 Equate entropy of thresholded and original distributions binomial probability: 2.18E-16	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cb23d43e-5495-4ab9-861e-1c2d13db33e2	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1a_1940-2011_rev01	None	None
e50c38d3-8c4f-4d9f-80c9-279453a0f61c	None	EUNIS habitat type F3-1b distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e50c38d3-8c4f-4d9f-80c9-279453a0f61c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1b_1940-2011_rev01	None	None
e6a88172-4256-4a06-8015-af210177efe6	None	EUNIS habitat type G1.9a distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-9a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e6a88172-4256-4a06-8015-af210177efe6	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-9a_1940-2011_rev01	None	None
191bb172-0235-4729-9660-17775ec606ed	None	EUNIS habitat type F6-2 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/191bb172-0235-4729-9660-17775ec606ed	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f6-2_1940-2011_rev01	None	None
5fca5975-e862-41a1-9a0e-4cd078555da1	None	EUNIS habitat type F1-1 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F1-1_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5fca5975-e862-41a1-9a0e-4cd078555da1	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f1-1_1940-2011_rev01	None	None
64856826-dc6a-4cda-86ca-04a28ab81293	None	EUNIS habitat type B1-5a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/64856826-dc6a-4cda-86ca-04a28ab81293	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b1-5a_1940-2011_rev01	None	None
b7e1588d-723a-4ec6-a595-3fb9df91840c	None	EUNIS habitat type F2.2c, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: Balkan region Remarks: Insufficient data to create a model.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2c_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model:	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b7e1588d-723a-4ec6-a595-3fb9df91840c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f2-2c_1940-2011_rev01	None	None
41b0dda2-f3ec-4a00-9628-ac9dc19182ba	None	EUNIS habitat type F2.4, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Pinus mugo does not occur in Scandinavia and therefore the prediction in this area should be ignored. Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-4_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 959 Regularized training gain: 1.33 Unregularized training gain: 1.4939 Iterations: 500 Training AUC: 0.9143 #Test samples: 106 Test gain: 1.5115 Test AUC: 0.9149 AUC Standard Deviation: 0.009 #Background points: 5453 bio_12_etrs2_ras contribution: 2.7221 bio_15_etrs2_ras contribution: 2.6403 bio_18_etrs2_ras contribution: 43.9529 bio_4_etrs2_ras contribution: 13.1648 bio_8_etrs2_ras contribution: 1.5025 bld_m_sd1_1km_eu_ll contribution: 7.3518 cecsum_m_sd1_1km_eu_ll contribution: 0.9019 clyppt_m_sd1_1km_eu_ll contribution: 0.3665 crfvol_m_sd1_1km_eu_ll contribution: 9.3161 dist2water1km contribution: 0.7246 orcdrc_m_sd1_1km_eu_ll contribution: 11.0593 pet_he_yr contribution: 1.8856 sltppt_m_sd1_1km_eu_ll contribution: 2.9277 sndppt_m_sd1_1km_eu_ll contribution: 0.069 solar_1km contribution: 1.415 bio_12_etrs2_ras permutation importance: 11.1987 bio_15_etrs2_ras permutation importance: 0.952 bio_18_etrs2_ras permutation importance: 15.0502 bio_4_etrs2_ras permutation importance: 24.8976 bio_8_etrs2_ras permutation importance: 5.7478 bld_m_sd1_1km_eu_ll permutation importance: 0.6055 cecsum_m_sd1_1km_eu_ll permutation importance: 8.6279 clyppt_m_sd1_1km_eu_ll permutation importance: 0.3552 crfvol_m_sd1_1km_eu_ll permutation importance: 5.9339 dist2water1km permutation importance: 0.9175 orcdrc_m_sd1_1km_eu_ll permutation importance: 5.3257 pet_he_yr permutation importance: 7.2263 sltppt_m_sd1_1km_eu_ll permutation importance: 11.13 sndppt_m_sd1_1km_eu_ll permutation importance: 0.6911 solar_1km permutation importance: 1.3406 Training gain without bio_12_etrs2_ras: 1.315 Training gain without bio_15_etrs2_ras: 1.326 Training gain without bio_18_etrs2_ras: 1.3107 Training gain without bio_4_etrs2_ras: 1.2923 Training gain without bio_8_etrs2_ras: 1.3147 Training gain without bld_m_sd1_1km_eu_ll: 1.3269 Training gain without cecsum_m_sd1_1km_eu_ll: 1.3242 Training gain without clyppt_m_sd1_1km_eu_ll: 1.3277 Training gain without crfvol_m_sd1_1km_eu_ll: 1.3108 Training gain without dist2water1km: 1.3253 Training gain without orcdrc_m_sd1_1km_eu_ll: 1.325 Training gain without pet_he_yr: 1.3172 Training gain without sltppt_m_sd1_1km_eu_ll: 1.3217 Training gain without sndppt_m_sd1_1km_eu_ll: 1.33 Training gain without solar_1km: 1.3177 Training gain with only bio_12_etrs2_ras: 0.5502 Training gain with only bio_15_etrs2_ras: 0.2579 Training gain with only bio_18_etrs2_ras: 0.945 Training gain with only bio_4_etrs2_ras: 0.6296 Training gain with only bio_8_etrs2_ras: 0.2839 Training gain with only bld_m_sd1_1km_eu_ll: 0.7874 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.7465 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.2094 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.7232 Training gain with only dist2water1km: 0.103 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.6591 Training gain with only pet_he_yr: 0.6047 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.4062 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.3865 Training gain with only solar_1km: 0.6498 Test gain without bio_12_etrs2_ras: 1.4832 Test gain without bio_15_etrs2_ras: 1.4958 Test gain without bio_18_etrs2_ras: 1.477 Test gain without bio_4_etrs2_ras: 1.5175 Test gain without bio_8_etrs2_ras: 1.4851 Test gain without bld_m_sd1_1km_eu_ll: 1.523 Test gain without cecsum_m_sd1_1km_eu_ll: 1.511 Test gain without clyppt_m_sd1_1km_eu_ll: 1.5106 Test gain without crfvol_m_sd1_1km_eu_ll: 1.4889 Test gain without dist2water1km: 1.4955 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.5132 Test gain without pet_he_yr: 1.5072 Test gain without sltppt_m_sd1_1km_eu_ll: 1.5019 Test gain without sndppt_m_sd1_1km_eu_ll: 1.5138 Test gain without solar_1km: 1.521 Test gain with only bio_12_etrs2_ras: 0.6841 Test gain with only bio_15_etrs2_ras: 0.3615 Test gain with only bio_18_etrs2_ras: 1.0659 Test gain with only bio_4_etrs2_ras: 0.6307 Test gain with only bio_8_etrs2_ras: 0.3726 Test gain with only bld_m_sd1_1km_eu_ll: 0.8659 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.7941 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.2548 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.8805 Test gain with only dist2water1km: 0.2401 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.7094 Test gain with only pet_he_yr: 0.6775 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.4683 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.4205 Test gain with only solar_1km: 0.802 AUC without bio_12_etrs2_ras: 0.9116 AUC without bio_15_etrs2_ras: 0.9146 AUC without bio_18_etrs2_ras: 0.9123 AUC without bio_4_etrs2_ras: 0.9165 AUC without bio_8_etrs2_ras: 0.9128 AUC without bld_m_sd1_1km_eu_ll: 0.9168 AUC without cecsum_m_sd1_1km_eu_ll: 0.9155 AUC without clyppt_m_sd1_1km_eu_ll: 0.9159 AUC without crfvol_m_sd1_1km_eu_ll: 0.9141 AUC without dist2water1km: 0.9148 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9158 AUC without pet_he_yr: 0.9143 AUC without sltppt_m_sd1_1km_eu_ll: 0.9138 AUC without sndppt_m_sd1_1km_eu_ll: 0.9153 AUC without solar_1km: 0.9156 AUC with only bio_12_etrs2_ras: 0.8091 AUC with only bio_15_etrs2_ras: 0.7355 AUC with only bio_18_etrs2_ras: 0.8727 AUC with only bio_4_etrs2_ras: 0.7958 AUC with only bio_8_etrs2_ras: 0.7315 AUC with only bld_m_sd1_1km_eu_ll: 0.841 AUC with only cecsum_m_sd1_1km_eu_ll: 0.8275 AUC with only clyppt_m_sd1_1km_eu_ll: 0.6895 AUC with only crfvol_m_sd1_1km_eu_ll: 0.8461 AUC with only dist2water1km: 0.6871 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.8133 AUC with only pet_he_yr: 0.8103 AUC with only sltppt_m_sd1_1km_eu_ll: 0.738 AUC with only sndppt_m_sd1_1km_eu_ll: 0.7247 AUC with only solar_1km: 0.8229 Entropy: 7.2763 Prevalence (average of logistic output over background sites): 0.1296 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.034 Fixed cumulative value 1 area: 0.367 Fixed cumulative value 1 training omission: 0.0042 Fixed cumulative value 1 test omission: 0.0094 Fixed cumulative value 1 binomial probability: 8.71E-41 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1737 Fixed cumulative value 5 area: 0.2624 Fixed cumulative value 5 training omission: 0.0198 Fixed cumulative value 5 test omission: 0.0189 Fixed cumulative value 5 binomial probability: 8.86E-64 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2778 Fixed cumulative value 10 area: 0.218 Fixed cumulative value 10 training omission: 0.0605 Fixed cumulative value 10 test omission: 0.066 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.1331 Minimum training presence logistic threshold: 0.0029 Minimum training presence area: 0.5764 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0094 Minimum training presence binomial probability: 3.07E-18 10 percentile training presence cumulative threshold: 14.8042 10 percentile training presence logistic threshold: 0.3391 10 percentile training presence area: 0.1894 10 percentile training presence training omission: 0.098 10 percentile training presence test omission: 0.1038 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 20.4419 Equal training sensitivity and specificity logistic threshold: 0.4021 Equal training sensitivity and specificity area: 0.1638 Equal training sensitivity and specificity training omission: 0.1637 Equal training sensitivity and specificity test omission: 0.1604 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 11.9667 Maximum training sensitivity plus specificity logistic threshold: 0.3043 Maximum training sensitivity plus specificity area: 0.2052 Maximum training sensitivity plus specificity training omission: 0.0657 Maximum training sensitivity plus specificity test omission: 0.0755 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 21.2496 Equal test sensitivity and specificity logistic threshold: 0.4111 Equal test sensitivity and specificity area: 0.1608 Equal test sensitivity and specificity training omission: 0.1741 Equal test sensitivity and specificity test omission: 0.1604 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 9.9828 Maximum test sensitivity plus specificity logistic threshold: 0.2778 Maximum test sensitivity plus specificity area: 0.2182 Maximum test sensitivity plus specificity training omission: 0.0594 Maximum test sensitivity plus specificity test omission: 0.0472 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 2.1433 Balance training omission, predicted area and threshold value logistic threshold: 0.0811 Balance training omission, predicted area and threshold value area: 0.3151 Balance training omission, predicted area and threshold value training omission: 0.0052 Balance training omission, predicted area and threshold value test omission: 0.0094 Balance training omission, predicted area and threshold value binomial probability: 5.64E-51 Equate entropy of thresholded and original distributions cumulative threshold: 4.8118 Equate entropy of thresholded and original distributions logistic threshold: 0.1689 Equate entropy of thresholded and original distributions area: 0.265 Equate entropy of thresholded and original distributions training omission: 0.0188 Equate entropy of thresholded and original distributions test omission: 0.0189 Equate entropy of thresholded and original distributions binomial probability: 5.86E-63	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41b0dda2-f3ec-4a00-9628-ac9dc19182ba	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f2-4_1940-2011_rev01	None	None
744c9856-3769-4e93-8631-41e4e6e16a1b	None	EUNIS habitat type G1.3, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-3_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 850 Regularized training gain: 1.579 Unregularized training gain: 1.6753 Iterations: 500 Training AUC: 0.9318 #Test samples: 94 Test gain: 1.4433 Test AUC: 0.9149 AUC Standard Deviation: 0.0084 #Background points: 10542 bio_12_etrs2_ras contribution: 0.3599 bio_15_etrs2_ras contribution: 2.2413 bio_18_etrs2_ras contribution: 28.0611 bio_4_etrs2_ras contribution: 9.4465 bio_8_etrs2_ras contribution: 3.8968 dist2water1km contribution: 0.4626 pet_he_yr contribution: 53.4946 soil_ph contribution: 0.4755 solar_1km contribution: 1.5617 bio_12_etrs2_ras permutation importance: 0.1612 bio_15_etrs2_ras permutation importance: 2.9464 bio_18_etrs2_ras permutation importance: 24.0044 bio_4_etrs2_ras permutation importance: 8.3821 bio_8_etrs2_ras permutation importance: 6.1187 dist2water1km permutation importance: 0.448 pet_he_yr permutation importance: 56.7382 soil_ph permutation importance: 0.5336 solar_1km permutation importance: 0.6673 Training gain without bio_12_etrs2_ras: 1.58 Training gain without bio_15_etrs2_ras: 1.5636 Training gain without bio_18_etrs2_ras: 1.5626 Training gain without bio_4_etrs2_ras: 1.4877 Training gain without bio_8_etrs2_ras: 1.5611 Training gain without dist2water1km: 1.5766 Training gain without pet_he_yr: 1.4338 Training gain without soil_ph: 1.5758 Training gain without solar_1km: 1.5753 Training gain with only bio_12_etrs2_ras: 0.2344 Training gain with only bio_15_etrs2_ras: 0.4425 Training gain with only bio_18_etrs2_ras: 1.051 Training gain with only bio_4_etrs2_ras: 0.1817 Training gain with only bio_8_etrs2_ras: 0.4426 Training gain with only dist2water1km: 0.1343 Training gain with only pet_he_yr: 1.1858 Training gain with only soil_ph: 0.2315 Training gain with only solar_1km: 0.322 Test gain without bio_12_etrs2_ras: 1.4474 Test gain without bio_15_etrs2_ras: 1.4183 Test gain without bio_18_etrs2_ras: 1.4275 Test gain without bio_4_etrs2_ras: 1.3652 Test gain without bio_8_etrs2_ras: 1.427 Test gain without dist2water1km: 1.424 Test gain without pet_he_yr: 1.3804 Test gain without soil_ph: 1.4429 Test gain without solar_1km: 1.4579 Test gain with only bio_12_etrs2_ras: 0.2554 Test gain with only bio_15_etrs2_ras: 0.621 Test gain with only bio_18_etrs2_ras: 1.0381 Test gain with only bio_4_etrs2_ras: 0.1858 Test gain with only bio_8_etrs2_ras: 0.3027 Test gain with only dist2water1km: 0.3277 Test gain with only pet_he_yr: 1.017 Test gain with only soil_ph: 0.2343 Test gain with only solar_1km: 0.2003 AUC without bio_12_etrs2_ras: 0.9153 AUC without bio_15_etrs2_ras: 0.9124 AUC without bio_18_etrs2_ras: 0.9141 AUC without bio_4_etrs2_ras: 0.9074 AUC without bio_8_etrs2_ras: 0.9127 AUC without dist2water1km: 0.9133 AUC without pet_he_yr: 0.9073 AUC without soil_ph: 0.9149 AUC without solar_1km: 0.9161 AUC with only bio_12_etrs2_ras: 0.6422 AUC with only bio_15_etrs2_ras: 0.7525 AUC with only bio_18_etrs2_ras: 0.8578 AUC with only bio_4_etrs2_ras: 0.6673 AUC with only bio_8_etrs2_ras: 0.7115 AUC with only dist2water1km: 0.7243 AUC with only pet_he_yr: 0.8699 AUC with only soil_ph: 0.6524 AUC with only solar_1km: 0.6632 Entropy: 7.6952 Prevalence (average of logistic output over background sites): 0.1001 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0136 Fixed cumulative value 1 area: 0.435 Fixed cumulative value 1 training omission: 0.0024 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.11E-28 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1087 Fixed cumulative value 5 area: 0.2298 Fixed cumulative value 5 training omission: 0.0247 Fixed cumulative value 5 test omission: 0.0532 Fixed cumulative value 5 binomial probability: 1.28E-61 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2088 Fixed cumulative value 10 area: 0.1745 Fixed cumulative value 10 training omission: 0.0647 Fixed cumulative value 10 test omission: 0.0957 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0896 Minimum training presence logistic threshold: 0.0021 Minimum training presence area: 0.7104 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.00E-10 10 percentile training presence cumulative threshold: 14.1528 10 percentile training presence logistic threshold: 0.2821 10 percentile training presence area: 0.148 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.1702 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 17.606 Equal training sensitivity and specificity logistic threshold: 0.3326 Equal training sensitivity and specificity area: 0.1319 Equal training sensitivity and specificity training omission: 0.1318 Equal training sensitivity and specificity test omission: 0.2021 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.9669 Maximum training sensitivity plus specificity logistic threshold: 0.1891 Maximum training sensitivity plus specificity area: 0.1832 Maximum training sensitivity plus specificity training omission: 0.0482 Maximum training sensitivity plus specificity test omission: 0.0851 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 13.5167 Equal test sensitivity and specificity logistic threshold: 0.2725 Equal test sensitivity and specificity area: 0.1514 Equal test sensitivity and specificity training omission: 0.0953 Equal test sensitivity and specificity test omission: 0.1489 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 11.4636 Maximum test sensitivity plus specificity logistic threshold: 0.2374 Maximum test sensitivity plus specificity area: 0.1638 Maximum test sensitivity plus specificity training omission: 0.0706 Maximum test sensitivity plus specificity test omission: 0.0957 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 2.5256 Balance training omission, predicted area and threshold value logistic threshold: 0.0424 Balance training omission, predicted area and threshold value area: 0.299 Balance training omission, predicted area and threshold value training omission: 0.0094 Balance training omission, predicted area and threshold value test omission: 0.0426 Balance training omission, predicted area and threshold value binomial probability: 1.70E-44 Equate entropy of thresholded and original distributions cumulative threshold: 6.5111 Equate entropy of thresholded and original distributions logistic threshold: 0.1464 Equate entropy of thresholded and original distributions area: 0.2084 Equate entropy of thresholded and original distributions training omission: 0.0365 Equate entropy of thresholded and original distributions test omission: 0.0745 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744c9856-3769-4e93-8631-41e4e6e16a1b	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-3_1940-2011_rev01	None	None
d458b537-93ed-40e6-8bcc-0849dbfbc137	None	EUNIS habitat type F3-1g distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1g_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d458b537-93ed-40e6-8bcc-0849dbfbc137	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1g_1940-2011_rev01	None	None
d7e94bfb-caa9-4449-87ed-146de0aa0fd0	None	EUNIS habitat type G1.1, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-1_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1489 Regularized training gain: 0.8786 Unregularized training gain: 0.9883 Iterations: 500 Training AUC: 0.8625 #Test samples: 165 Test gain: 0.9143 Test AUC: 0.8529 AUC Standard Deviation: 0.0119 #Background points: 11169 bio_12_etrs2_ras contribution: 11.4437 bio_15_etrs2_ras contribution: 1.3648 bio_18_etrs2_ras contribution: 2.8407 bio_4_etrs2_ras contribution: 4.7345 bio_8_etrs2_ras contribution: 0.6319 dist2water1km contribution: 40.9207 pet_he_yr contribution: 1.6611 soil_ph contribution: 10.1855 solar_1km contribution: 26.2171 bio_12_etrs2_ras permutation importance: 11.3268 bio_15_etrs2_ras permutation importance: 1.6465 bio_18_etrs2_ras permutation importance: 4.6985 bio_4_etrs2_ras permutation importance: 7.5938 bio_8_etrs2_ras permutation importance: 1.8004 dist2water1km permutation importance: 25.7202 pet_he_yr permutation importance: 5.9374 soil_ph permutation importance: 4.1727 solar_1km permutation importance: 37.1036 Training gain without bio_12_etrs2_ras: 0.8633 Training gain without bio_15_etrs2_ras: 0.8734 Training gain without bio_18_etrs2_ras: 0.8679 Training gain without bio_4_etrs2_ras: 0.8463 Training gain without bio_8_etrs2_ras: 0.8761 Training gain without dist2water1km: 0.7448 Training gain without pet_he_yr: 0.8665 Training gain without soil_ph: 0.8534 Training gain without solar_1km: 0.7982 Training gain with only bio_12_etrs2_ras: 0.25 Training gain with only bio_15_etrs2_ras: 0.0653 Training gain with only bio_18_etrs2_ras: 0.2028 Training gain with only bio_4_etrs2_ras: 0.1288 Training gain with only bio_8_etrs2_ras: 0.1852 Training gain with only dist2water1km: 0.4387 Training gain with only pet_he_yr: 0.1225 Training gain with only soil_ph: 0.2414 Training gain with only solar_1km: 0.4196 Test gain without bio_12_etrs2_ras: 0.8848 Test gain without bio_15_etrs2_ras: 0.9116 Test gain without bio_18_etrs2_ras: 0.8876 Test gain without bio_4_etrs2_ras: 0.8892 Test gain without bio_8_etrs2_ras: 0.914 Test gain without dist2water1km: 0.8281 Test gain without pet_he_yr: 0.8798 Test gain without soil_ph: 0.8666 Test gain without solar_1km: 0.8736 Test gain with only bio_12_etrs2_ras: 0.2876 Test gain with only bio_15_etrs2_ras: 0.0824 Test gain with only bio_18_etrs2_ras: 0.2579 Test gain with only bio_4_etrs2_ras: 0.1585 Test gain with only bio_8_etrs2_ras: 0.216 Test gain with only dist2water1km: 0.4202 Test gain with only pet_he_yr: 0.1535 Test gain with only soil_ph: 0.3495 Test gain with only solar_1km: 0.4271 AUC without bio_12_etrs2_ras: 0.8481 AUC without bio_15_etrs2_ras: 0.8526 AUC without bio_18_etrs2_ras: 0.8481 AUC without bio_4_etrs2_ras: 0.8484 AUC without bio_8_etrs2_ras: 0.8531 AUC without dist2water1km: 0.8363 AUC without pet_he_yr: 0.8472 AUC without soil_ph: 0.8453 AUC without solar_1km: 0.8467 AUC with only bio_12_etrs2_ras: 0.7044 AUC with only bio_15_etrs2_ras: 0.5956 AUC with only bio_18_etrs2_ras: 0.6875 AUC with only bio_4_etrs2_ras: 0.6473 AUC with only bio_8_etrs2_ras: 0.6719 AUC with only dist2water1km: 0.7473 AUC with only pet_he_yr: 0.6419 AUC with only soil_ph: 0.6934 AUC with only solar_1km: 0.7506 Entropy: 8.4433 Prevalence (average of logistic output over background sites): 0.2021 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0405 Fixed cumulative value 1 area: 0.7597 Fixed cumulative value 1 training omission: 0.0094 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.51E-13 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1056 Fixed cumulative value 5 area: 0.5452 Fixed cumulative value 5 training omission: 0.0383 Fixed cumulative value 5 test omission: 0.0182 Fixed cumulative value 5 binomial probability: 9.91E-30 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1685 Fixed cumulative value 10 area: 0.4134 Fixed cumulative value 10 training omission: 0.0779 Fixed cumulative value 10 test omission: 0.097 Fixed cumulative value 10 binomial probability: 1.17E-37 Minimum training presence cumulative threshold: 0.0001 Minimum training presence logistic threshold: 0.0003 Minimum training presence area: 0.998 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 2.84E-01 10 percentile training presence cumulative threshold: 13.3513 10 percentile training presence logistic threshold: 0.206 10 percentile training presence area: 0.3526 10 percentile training presence training omission: 0.0994 10 percentile training presence test omission: 0.1152 10 percentile training presence binomial probability: 9.44E-47 Equal training sensitivity and specificity cumulative threshold: 27.0575 Equal training sensitivity and specificity logistic threshold: 0.3563 Equal training sensitivity and specificity area: 0.2008 Equal training sensitivity and specificity training omission: 0.2008 Equal training sensitivity and specificity test omission: 0.2545 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 25.7803 Maximum training sensitivity plus specificity logistic threshold: 0.3404 Maximum training sensitivity plus specificity area: 0.2108 Maximum training sensitivity plus specificity training omission: 0.188 Maximum training sensitivity plus specificity test omission: 0.2424 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 24.1451 Equal test sensitivity and specificity logistic threshold: 0.3221 Equal test sensitivity and specificity area: 0.2245 Equal test sensitivity and specificity training omission: 0.178 Equal test sensitivity and specificity test omission: 0.2242 Equal test sensitivity and specificity binomial probability: 6.52E-65 Maximum test sensitivity plus specificity cumulative threshold: 19.5854 Maximum test sensitivity plus specificity logistic threshold: 0.273 Maximum test sensitivity plus specificity area: 0.2696 Maximum test sensitivity plus specificity training omission: 0.1357 Maximum test sensitivity plus specificity test omission: 0.1636 Maximum test sensitivity plus specificity binomial probability: 8.56E-61 Balance training omission, predicted area and threshold value cumulative threshold: 2.8408 Balance training omission, predicted area and threshold value logistic threshold: 0.0756 Balance training omission, predicted area and threshold value area: 0.636 Balance training omission, predicted area and threshold value training omission: 0.0215 Balance training omission, predicted area and threshold value test omission: 0.0121 Balance training omission, predicted area and threshold value binomial probability: 2.91E-21 Equate entropy of thresholded and original distributions cumulative threshold: 9.8948 Equate entropy of thresholded and original distributions logistic threshold: 0.1678 Equate entropy of thresholded and original distributions area: 0.4156 Equate entropy of thresholded and original distributions training omission: 0.0779 Equate entropy of thresholded and original distributions test omission: 0.097 Equate entropy of thresholded and original distributions binomial probability: 2.80E-37	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d7e94bfb-caa9-4449-87ed-146de0aa0fd0	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-1_1940-2011_rev01	None	None
0dd3dbf1-9511-48bf-88c8-60e4287f71f0	None	EUNIS habitat type G3.4b, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 626 Regularized training gain: 1.7 Unregularized training gain: 1.8107 Iterations: 500 Training AUC: 0.9407 #Test samples: 69 Test gain: 1.5297 Test AUC: 0.9227 AUC Standard Deviation: 0.0093 #Background points: 10625 bio_12_etrs2_ras contribution: 22.076 bio_15_etrs2_ras contribution: 0.5145 bio_18_etrs2_ras contribution: 12.9617 bio_4_etrs2_ras contribution: 43.4162 bio_8_etrs2_ras contribution: 0.1465 dist2water1km contribution: 2.2883 pet_he_yr contribution: 11.6566 soil_ph contribution: 5.7035 solar_1km contribution: 1.2367 bio_12_etrs2_ras permutation importance: 10.2565 bio_15_etrs2_ras permutation importance: 1.3545 bio_18_etrs2_ras permutation importance: 6.7089 bio_4_etrs2_ras permutation importance: 61.4969 bio_8_etrs2_ras permutation importance: 0.6942 dist2water1km permutation importance: 3.5802 pet_he_yr permutation importance: 10.397 soil_ph permutation importance: 4.377 solar_1km permutation importance: 1.1348 Entropy: 7.5744 Prevalence (average of logistic output over background sites): 0.0894 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0327 Fixed cumulative value 1 area: 0.2688 Fixed cumulative value 1 training omission: 0.0032 Fixed cumulative value 1 test omission: 0.029 Fixed cumulative value 1 binomial probability: 7.74E-40 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1561 Fixed cumulative value 5 area: 0.1932 Fixed cumulative value 5 training omission: 0.024 Fixed cumulative value 5 test omission: 0.058 Fixed cumulative value 5 binomial probability: 3.23E-56 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2478 Fixed cumulative value 10 area: 0.1572 Fixed cumulative value 10 training omission: 0.0511 Fixed cumulative value 10 test omission: 0.1159 Fixed cumulative value 10 binomial probability: 4.17E-62 Minimum training presence cumulative threshold: 0.1683 Minimum training presence logistic threshold: 0.0016 Minimum training presence area: 0.4803 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 2.79E-18 10 percentile training presence cumulative threshold: 16.1896 10 percentile training presence logistic threshold: 0.3254 10 percentile training presence area: 0.1289 10 percentile training presence training omission: 0.099 10 percentile training presence test omission: 0.2029 10 percentile training presence binomial probability: 6.67E-62 Equal training sensitivity and specificity cumulative threshold: 19.7107 Equal training sensitivity and specificity logistic threshold: 0.3572 Equal training sensitivity and specificity area: 0.1166 Equal training sensitivity and specificity training omission: 0.1166 Equal training sensitivity and specificity test omission: 0.2174 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 10.6461 Maximum training sensitivity plus specificity logistic threshold: 0.2555 Maximum training sensitivity plus specificity area: 0.1536 Maximum training sensitivity plus specificity training omission: 0.0527 Maximum training sensitivity plus specificity test omission: 0.1159 Maximum training sensitivity plus specificity binomial probability: 7.59E-64 Equal test sensitivity and specificity cumulative threshold: 12.7449 Equal test sensitivity and specificity logistic threshold: 0.284 Equal test sensitivity and specificity area: 0.1433 Equal test sensitivity and specificity training omission: 0.0783 Equal test sensitivity and specificity test omission: 0.1449 Equal test sensitivity and specificity binomial probability: 3.65E-64 Maximum test sensitivity plus specificity cumulative threshold: 4.8975 Maximum test sensitivity plus specificity logistic threshold: 0.1541 Maximum test sensitivity plus specificity area: 0.1943 Maximum test sensitivity plus specificity training omission: 0.024 Maximum test sensitivity plus specificity test omission: 0.0435 Maximum test sensitivity plus specificity binomial probability: 5.95E-58 Balance training omission, predicted area and threshold value cumulative threshold: 1.5987 Balance training omission, predicted area and threshold value logistic threshold: 0.0591 Balance training omission, predicted area and threshold value area: 0.2456 Balance training omission, predicted area and threshold value training omission: 0.0048 Balance training omission, predicted area and threshold value test omission: 0.029 Balance training omission, predicted area and threshold value binomial probability: 7.71E-45 Equate entropy of thresholded and original distributions cumulative threshold: 6.11 Equate entropy of thresholded and original distributions logistic threshold: 0.182 Equate entropy of thresholded and original distributions area: 0.1832 Equate entropy of thresholded and original distributions training omission: 0.0319 Equate entropy of thresholded and original distributions test omission: 0.058 Equate entropy of thresholded and original distributions binomial probability: 5.61E-60	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0dd3dbf1-9511-48bf-88c8-60e4287f71f0	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-4b_1940-2011_rev01	None	None
172541f2-08b8-489d-9193-72a5e75f53ca	None	EUNIS habitat type G3.E, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-E_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 433 Regularized training gain: 1.8688 Unregularized training gain: 2.0466 Iterations: 500 Training AUC: 0.952 #Test samples: 48 Test gain: 1.7982 Test AUC: 0.9356 AUC Standard Deviation: 0.0107 #Background points: 10433 bio_12_etrs2_ras contribution: 0.6425 bio_15_etrs2_ras contribution: 0.9937 bio_18_etrs2_ras contribution: 54.2453 bio_4_etrs2_ras contribution: 17.9736 bio_8_etrs2_ras contribution: 6.9313 dist2water1km contribution: 0.1149 pet_he_yr contribution: 15.7111 soil_ph contribution: 1.4725 solar_1km contribution: 1.915 bio_12_etrs2_ras permutation importance: 2.3699 bio_15_etrs2_ras permutation importance: 1.982 bio_18_etrs2_ras permutation importance: 32.5319 bio_4_etrs2_ras permutation importance: 42.9618 bio_8_etrs2_ras permutation importance: 3.9506 dist2water1km permutation importance: 0.0751 pet_he_yr permutation importance: 14.7719 soil_ph permutation importance: 0.8976 solar_1km permutation importance: 0.4593 Entropy: 7.4024 Prevalence (average of logistic output over background sites): 0.0752 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0185 Fixed cumulative value 1 area: 0.3413 Fixed cumulative value 1 training omission: 0.0023 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 3.15E-22 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0863 Fixed cumulative value 5 area: 0.2157 Fixed cumulative value 5 training omission: 0.03 Fixed cumulative value 5 test omission: 0.0833 Fixed cumulative value 5 binomial probability: 1.76E-32 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1519 Fixed cumulative value 10 area: 0.1571 Fixed cumulative value 10 training omission: 0.0693 Fixed cumulative value 10 test omission: 0.1458 Fixed cumulative value 10 binomial probability: 1.69E-40 Minimum training presence cumulative threshold: 0.444 Minimum training presence logistic threshold: 0.0062 Minimum training presence area: 0.4207 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 2.14E-16 10 percentile training presence cumulative threshold: 15.5122 10 percentile training presence logistic threshold: 0.214 10 percentile training presence area: 0.1181 10 percentile training presence training omission: 0.0993 10 percentile training presence test omission: 0.1667 10 percentile training presence binomial probability: 1.63E-53 Equal training sensitivity and specificity cumulative threshold: 16.2269 Equal training sensitivity and specificity logistic threshold: 0.2225 Equal training sensitivity and specificity area: 0.1141 Equal training sensitivity and specificity training omission: 0.1132 Equal training sensitivity and specificity test omission: 0.1667 Equal training sensitivity and specificity binomial probability: 1.10E-55 Maximum training sensitivity plus specificity cumulative threshold: 13.4386 Maximum training sensitivity plus specificity logistic threshold: 0.1912 Maximum training sensitivity plus specificity area: 0.1309 Maximum training sensitivity plus specificity training omission: 0.0855 Maximum training sensitivity plus specificity test omission: 0.1458 Maximum training sensitivity plus specificity binomial probability: 3.26E-50 Equal test sensitivity and specificity cumulative threshold: 11.3765 Equal test sensitivity and specificity logistic threshold: 0.1668 Equal test sensitivity and specificity area: 0.1458 Equal test sensitivity and specificity training omission: 0.0716 Equal test sensitivity and specificity test omission: 0.1458 Equal test sensitivity and specificity binomial probability: 2.86E-44 Maximum test sensitivity plus specificity cumulative threshold: 2.8672 Maximum test sensitivity plus specificity logistic threshold: 0.0568 Maximum test sensitivity plus specificity area: 0.2599 Maximum test sensitivity plus specificity training omission: 0.0092 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 7.17E-32 Balance training omission, predicted area and threshold value cumulative threshold: 2.2404 Balance training omission, predicted area and threshold value logistic threshold: 0.0445 Balance training omission, predicted area and threshold value area: 0.2784 Balance training omission, predicted area and threshold value training omission: 0.0046 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 3.47E-29 Equate entropy of thresholded and original distributions cumulative threshold: 10.0045 Equate entropy of thresholded and original distributions logistic threshold: 0.1519 Equate entropy of thresholded and original distributions area: 0.1571 Equate entropy of thresholded and original distributions training omission: 0.0693 Equate entropy of thresholded and original distributions test omission: 0.1458 Equate entropy of thresholded and original distributions binomial probability: 1.69E-40	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/172541f2-08b8-489d-9193-72a5e75f53ca	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-e_1940-2011_rev01	None	None
7a0fec13-ca9b-4456-9908-4505659ad731	None	EUNIS habitat type G2.4 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-4_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a0fec13-ca9b-4456-9908-4505659ad731	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g2-4_1940-2011_rev01	None	None
83268aa7-6add-4b4d-970f-29a958ab7acf	None	EUNIS habitat type G3.9a, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 155 Regularized training gain: 1.9349 Unregularized training gain: 2.3231 Iterations: 500 Training AUC: 0.9576 #Test samples: 17 Test gain: 2.1608 Test AUC: 0.964 AUC Standard Deviation: 0.0112 #Background points: 10155 bio_12_etrs2_ras contribution: 0.9202 bio_15_etrs2_ras contribution: 2.9875 bio_18_etrs2_ras contribution: 6.4517 bio_4_etrs2_ras contribution: 43.4382 bio_8_etrs2_ras contribution: 4.5974 dist2water1km contribution: 3.3867 pet_he_yr contribution: 34.4928 soil_ph contribution: 1.1712 solar_1km contribution: 2.5543 bio_12_etrs2_ras permutation importance: 1.3058 bio_15_etrs2_ras permutation importance: 2.3516 bio_18_etrs2_ras permutation importance: 3.5757 bio_4_etrs2_ras permutation importance: 47.6319 bio_8_etrs2_ras permutation importance: 1.9908 dist2water1km permutation importance: 1.6822 pet_he_yr permutation importance: 38.5628 soil_ph permutation importance: 1.1008 solar_1km permutation importance: 1.7984 Entropy: 7.3166 Prevalence (average of logistic output over background sites): 0.0713 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0103 Fixed cumulative value 1 area: 0.4663 Fixed cumulative value 1 training omission: 0.0065 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.33E-06 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0566 Fixed cumulative value 5 area: 0.2313 Fixed cumulative value 5 training omission: 0.0258 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.55E-11 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.148 Fixed cumulative value 10 area: 0.1619 Fixed cumulative value 10 training omission: 0.0645 Fixed cumulative value 10 test omission: 0.0588 Fixed cumulative value 10 binomial probability: 3.21E-12 Minimum training presence cumulative threshold: 0.2799 Minimum training presence logistic threshold: 0.0036 Minimum training presence area: 0.6285 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.72E-04 10 percentile training presence cumulative threshold: 18.0606 10 percentile training presence logistic threshold: 0.2274 10 percentile training presence area: 0.1102 10 percentile training presence training omission: 0.0968 10 percentile training presence test omission: 0.0588 10 percentile training presence binomial probability: 7.20E-15 Equal training sensitivity and specificity cumulative threshold: 18.5168 Equal training sensitivity and specificity logistic threshold: 0.232 Equal training sensitivity and specificity area: 0.1079 Equal training sensitivity and specificity training omission: 0.1097 Equal training sensitivity and specificity test omission: 0.0588 Equal training sensitivity and specificity binomial probability: 5.18E-15 Maximum training sensitivity plus specificity cumulative threshold: 18.0606 Maximum training sensitivity plus specificity logistic threshold: 0.2274 Maximum training sensitivity plus specificity area: 0.1102 Maximum training sensitivity plus specificity training omission: 0.0968 Maximum training sensitivity plus specificity test omission: 0.0588 Maximum training sensitivity plus specificity binomial probability: 7.20E-15 Equal test sensitivity and specificity cumulative threshold: 32.1087 Equal test sensitivity and specificity logistic threshold: 0.3665 Equal test sensitivity and specificity area: 0.0588 Equal test sensitivity and specificity training omission: 0.2194 Equal test sensitivity and specificity test omission: 0.0588 Equal test sensitivity and specificity binomial probability: 3.27E-19 Maximum test sensitivity plus specificity cumulative threshold: 32.1267 Maximum test sensitivity plus specificity logistic threshold: 0.3675 Maximum test sensitivity plus specificity area: 0.0587 Maximum test sensitivity plus specificity training omission: 0.2194 Maximum test sensitivity plus specificity test omission: 0.0588 Maximum test sensitivity plus specificity binomial probability: 3.18E-19 Balance training omission, predicted area and threshold value cumulative threshold: 2.9492 Balance training omission, predicted area and threshold value logistic threshold: 0.0299 Balance training omission, predicted area and threshold value area: 0.3021 Balance training omission, predicted area and threshold value training omission: 0.0065 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 1.45E-09 Equate entropy of thresholded and original distributions cumulative threshold: 11.7424 Equate entropy of thresholded and original distributions logistic threshold: 0.1689 Equate entropy of thresholded and original distributions area: 0.1482 Equate entropy of thresholded and original distributions training omission: 0.0839 Equate entropy of thresholded and original distributions test omission: 0.0588 Equate entropy of thresholded and original distributions binomial probability: 7.92E-13	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/83268aa7-6add-4b4d-970f-29a958ab7acf	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-9a_1940-2011_rev01	None	None
d92ff658-e1b6-4fe9-9245-6b3b2f677250	None	EUNIS habitat type B1.5b, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1) Remarks: Inland prediction should be ignored. Hardly any prediction in the along the French coast. Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1)tThe area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 27 Regularized training gain: 4.4856 Unregularized training gain: 4.7894 Iterations: 500 Training AUC: 0.9971 #Test samples: 2 Test gain: 5.0918 Test AUC: 0.9984 AUC Standard Deviation: 0.0004 #Background points: 5027 bio_12_etrs2_ras contribution: 0.3312 bio_15_etrs2_ras contribution: 0.4732 bio_18_etrs2_ras contribution: 5.0517 bio_4_etrs2_ras contribution: 27.8413 bio_8_etrs2_ras contribution: 3.4666 bld_m_sd1_1km_eu_ll contribution: 1.711 cecsum_m_sd1_1km_eu_ll contribution: 0 clyppt_m_sd1_1km_eu_ll contribution: 0.0525 crfvol_m_sd1_1km_eu_ll contribution: 0.3776 dist2water1km contribution: 48.7813 orcdrc_m_sd1_1km_eu_ll contribution: 0.2131 pet_he_yr contribution: 3.0278 phihox_m_sd1_1km_eu_ll contribution: 0.1383 sltppt_m_sd1_1km_eu_ll contribution: 7.4575 sndppt_m_sd1_1km_eu_ll contribution: 1.077 solar_1km contribution: 0 bio_12_etrs2_ras permutation importance: 0.061 bio_15_etrs2_ras permutation importance: 0.0076 bio_18_etrs2_ras permutation importance: 0 bio_4_etrs2_ras permutation importance: 41.5688 bio_8_etrs2_ras permutation importance: 25.52 bld_m_sd1_1km_eu_ll permutation importance: 0.3788 cecsum_m_sd1_1km_eu_ll permutation importance: 0 clyppt_m_sd1_1km_eu_ll permutation importance: 0.0153 crfvol_m_sd1_1km_eu_ll permutation importance: 0.0076 dist2water1km permutation importance: 0.2593 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.0483 pet_he_yr permutation importance: 31.4162 phihox_m_sd1_1km_eu_ll permutation importance: 0.0076 sltppt_m_sd1_1km_eu_ll permutation importance: 0.6712 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 0.0381 Entropy: 4.0567 Prevalence (average of logistic output over background sites): 0.0053 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0034 Fixed cumulative value 1 area: 0.0553 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 3.06E-03 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0367 Fixed cumulative value 5 area: 0.0189 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 3.57E-04 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1118 Fixed cumulative value 10 area: 0.0099 Fixed cumulative value 10 training omission: 0 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 9.89E-05 Minimum training presence cumulative threshold: 15.6885 Minimum training presence logistic threshold: 0.2643 Minimum training presence area: 0.007 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 4.85E-05 10 percentile training presence cumulative threshold: 17.868 10 percentile training presence logistic threshold: 0.3101 10 percentile training presence area: 0.0062 10 percentile training presence training omission: 0.0741 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 3.80E-05 Equal training sensitivity and specificity cumulative threshold: 15.6885 Equal training sensitivity and specificity logistic threshold: 0.2643 Equal training sensitivity and specificity area: 0.007 Equal training sensitivity and specificity training omission: 0 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 4.85E-05 Maximum training sensitivity plus specificity cumulative threshold: 15.6885 Maximum training sensitivity plus specificity logistic threshold: 0.2643 Maximum training sensitivity plus specificity area: 0.007 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 4.85E-05 Equal test sensitivity and specificity cumulative threshold: 58.0778 Equal test sensitivity and specificity logistic threshold: 0.6292 Equal test sensitivity and specificity area: 0.0018 Equal test sensitivity and specificity training omission: 0.6296 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 3.20E-06 Maximum test sensitivity plus specificity cumulative threshold: 58.0778 Maximum test sensitivity plus specificity logistic threshold: 0.6292 Maximum test sensitivity plus specificity area: 0.0018 Maximum test sensitivity plus specificity training omission: 0.6296 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 3.20E-06 Balance training omission, predicted area and threshold value cumulative threshold: 1.2065 Balance training omission, predicted area and threshold value logistic threshold: 0.0046 Balance training omission, predicted area and threshold value area: 0.0495 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.45E-03 Equate entropy of thresholded and original distributions cumulative threshold: 8.7216 Equate entropy of thresholded and original distributions logistic threshold: 0.081 Equate entropy of thresholded and original distributions area: 0.0113 Equate entropy of thresholded and original distributions training omission: 0 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 1.29E-04	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d92ff658-e1b6-4fe9-9245-6b3b2f677250	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b1-5b_1940-2011_rev01	None	None
4bc1268d-cebd-499b-b1e3-8157566fa923	None	EUNIS habitat type F3-1f distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1f_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bc1268d-cebd-499b-b1e3-8157566fa923	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1f_1940-2011_rev01	None	None
62e1e107-a02a-49c8-80ea-b257a6fad7e8	None	EUNIS habitat type B1.7 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-7_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62e1e107-a02a-49c8-80ea-b257a6fad7e8	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b1-7_1940-2011_rev01	None	None
46be7e7a-0445-4921-9828-b1b1e32d3f99	None	EUNIS habitat type G3.B distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-B_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/46be7e7a-0445-4921-9828-b1b1e32d3f99	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-b_1940-2011_rev01	None	None
839577cc-9100-4547-b800-dbc42efbfa78	None	EUNIS habitat type G3.7 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-7_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/839577cc-9100-4547-b800-dbc42efbfa78	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-7_1940-2011_rev01	None	None
68ade09a-e970-4ad1-90cb-f2353a087ae1	None	EUNIS habitat type F5.4, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Poor prediction for Spain due to lack of data. Spartium junceum actually occurs throughout Spain. Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-4_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 65 Regularized training gain: 2.9405 Unregularized training gain: 3.2711 Iterations: 500 Training AUC: 0.9873 #Test samples: 7 Test gain: 3.0121 Test AUC: 0.9804 AUC Standard Deviation: 0.0109 #Background points: 5065 bio_12_etrs2_ras contribution: 18.9034 bio_15_etrs2_ras contribution: 3.7847 bio_18_etrs2_ras contribution: 2.6968 bio_4_etrs2_ras contribution: 22.7849 bio_8_etrs2_ras contribution: 6.4925 bld_m_sd1_1km_eu_ll contribution: 1.4665 cecsum_m_sd1_1km_eu_ll contribution: 0.0768 clyppt_m_sd1_1km_eu_ll contribution: 26.3259 crfvol_m_sd1_1km_eu_ll contribution: 0.7765 dist2water1km contribution: 0.0908 orcdrc_m_sd1_1km_eu_ll contribution: 0.1728 pet_he_yr contribution: 0.0964 phihox_m_sd1_1km_eu_ll contribution: 13.4566 sltppt_m_sd1_1km_eu_ll contribution: 2.8043 sndppt_m_sd1_1km_eu_ll contribution: 0.0555 solar_1km contribution: 0.0156 bio_12_etrs2_ras permutation importance: 20.5001 bio_15_etrs2_ras permutation importance: 1.5151 bio_18_etrs2_ras permutation importance: 1.2774 bio_4_etrs2_ras permutation importance: 15.5413 bio_8_etrs2_ras permutation importance: 8.992 bld_m_sd1_1km_eu_ll permutation importance: 1.3218 cecsum_m_sd1_1km_eu_ll permutation importance: 0.8194 clyppt_m_sd1_1km_eu_ll permutation importance: 17.5782 crfvol_m_sd1_1km_eu_ll permutation importance: 0.5392 dist2water1km permutation importance: 0.2821 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.8542 pet_he_yr permutation importance: 1.4146 phihox_m_sd1_1km_eu_ll permutation importance: 17.5221 sltppt_m_sd1_1km_eu_ll permutation importance: 9.9235 sndppt_m_sd1_1km_eu_ll permutation importance: 1.8842 solar_1km permutation importance: 0.0348 Entropy: 5.5959 Prevalence (average of logistic output over background sites): 0.0248 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0065 Fixed cumulative value 1 area: 0.2047 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.51E-05 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0403 Fixed cumulative value 5 area: 0.0847 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0.1429 Fixed cumulative value 5 binomial probability: 2.40E-06 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.128 Fixed cumulative value 10 area: 0.0501 Fixed cumulative value 10 training omission: 0.0154 Fixed cumulative value 10 test omission: 0.1429 Fixed cumulative value 10 binomial probability: 1.06E-07 Minimum training presence cumulative threshold: 6.9779 Minimum training presence logistic threshold: 0.0684 Minimum training presence area: 0.0661 Minimum training presence training omission: 0 Minimum training presence test omission: 0.1429 Minimum training presence binomial probability: 5.53E-07 10 percentile training presence cumulative threshold: 19.326 10 percentile training presence logistic threshold: 0.2902 10 percentile training presence area: 0.0296 10 percentile training presence training omission: 0.0923 10 percentile training presence test omission: 0.1429 10 percentile training presence binomial probability: 4.60E-09 Equal training sensitivity and specificity cumulative threshold: 15.779 Equal training sensitivity and specificity logistic threshold: 0.2199 Equal training sensitivity and specificity area: 0.0351 Equal training sensitivity and specificity training omission: 0.0308 Equal training sensitivity and specificity test omission: 0.1429 Equal training sensitivity and specificity binomial probability: 1.28E-08 Maximum training sensitivity plus specificity cumulative threshold: 15.4687 Maximum training sensitivity plus specificity logistic threshold: 0.2166 Maximum training sensitivity plus specificity area: 0.0357 Maximum training sensitivity plus specificity training omission: 0.0154 Maximum training sensitivity plus specificity test omission: 0.1429 Maximum training sensitivity plus specificity binomial probability: 1.41E-08 Equal test sensitivity and specificity cumulative threshold: 4.7332 Equal test sensitivity and specificity logistic threshold: 0.038 Equal test sensitivity and specificity area: 0.0883 Equal test sensitivity and specificity training omission: 0 Equal test sensitivity and specificity test omission: 0.1429 Equal test sensitivity and specificity binomial probability: 3.06E-06 Maximum test sensitivity plus specificity cumulative threshold: 4.7311 Maximum test sensitivity plus specificity logistic threshold: 0.0379 Maximum test sensitivity plus specificity area: 0.0883 Maximum test sensitivity plus specificity training omission: 0 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 4.17E-08 Balance training omission, predicted area and threshold value cumulative threshold: 2.8276 Balance training omission, predicted area and threshold value logistic threshold: 0.0207 Balance training omission, predicted area and threshold value area: 0.1232 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 4.31E-07 Equate entropy of thresholded and original distributions cumulative threshold: 9.29 Equate entropy of thresholded and original distributions logistic threshold: 0.1101 Equate entropy of thresholded and original distributions area: 0.0531 Equate entropy of thresholded and original distributions training omission: 0.0154 Equate entropy of thresholded and original distributions test omission: 0.1429 Equate entropy of thresholded and original distributions binomial probability: 1.50E-07	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68ade09a-e970-4ad1-90cb-f2353a087ae1	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f5-4_1940-2011_rev01	None	None
952c93a2-6ff5-4908-9528-01bddb6fdb8f	None	EUNIS habitat type G1.6a, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 3833 Regularized training gain: 0.7296 Unregularized training gain: 0.7715 Iterations: 500 Training AUC: 0.8144 #Test samples: 425 Test gain: 0.7372 Test AUC: 0.8091 AUC Standard Deviation: 0.0068 #Background points: 13831 bio_12_etrs2_ras contribution: 7.2249 bio_15_etrs2_ras contribution: 1.3313 bio_18_etrs2_ras contribution: 5.0275 bio_4_etrs2_ras contribution: 57.2887 bio_8_etrs2_ras contribution: 0.1087 dist2water1km contribution: 0.099 pet_he_yr contribution: 25.3307 soil_ph contribution: 0.2365 solar_1km contribution: 3.3526 bio_12_etrs2_ras permutation importance: 6.7298 bio_15_etrs2_ras permutation importance: 2.9637 bio_18_etrs2_ras permutation importance: 3.5609 bio_4_etrs2_ras permutation importance: 60.7858 bio_8_etrs2_ras permutation importance: 0.5247 dist2water1km permutation importance: 0.5285 pet_he_yr permutation importance: 20.3984 soil_ph permutation importance: 0.6564 solar_1km permutation importance: 3.8518 Entropy: 8.8058 Prevalence (average of logistic output over background sites): 0.2375 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0703 Fixed cumulative value 1 area: 0.5494 Fixed cumulative value 1 training omission: 0.0055 Fixed cumulative value 1 test omission: 0.0118 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2449 Fixed cumulative value 5 area: 0.4424 Fixed cumulative value 5 training omission: 0.0324 Fixed cumulative value 5 test omission: 0.0447 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3549 Fixed cumulative value 10 area: 0.3875 Fixed cumulative value 10 training omission: 0.0788 Fixed cumulative value 10 test omission: 0.0776 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0905 Minimum training presence logistic threshold: 0.0045 Minimum training presence area: 0.7482 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0047 Minimum training presence binomial probability: 4.13E-32 10 percentile training presence cumulative threshold: 12.1187 10 percentile training presence logistic threshold: 0.3765 10 percentile training presence area: 0.3699 10 percentile training presence training omission: 0.0999 10 percentile training presence test omission: 0.0847 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 28.4686 Equal training sensitivity and specificity logistic threshold: 0.4751 Equal training sensitivity and specificity area: 0.2656 Equal training sensitivity and specificity training omission: 0.2656 Equal training sensitivity and specificity test omission: 0.2565 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.9074 Maximum training sensitivity plus specificity logistic threshold: 0.3398 Maximum training sensitivity plus specificity area: 0.3974 Maximum training sensitivity plus specificity training omission: 0.0663 Maximum training sensitivity plus specificity test omission: 0.0706 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 28.8768 Equal test sensitivity and specificity logistic threshold: 0.4768 Equal test sensitivity and specificity area: 0.2635 Equal test sensitivity and specificity training omission: 0.269 Equal test sensitivity and specificity test omission: 0.2635 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 12.1714 Maximum test sensitivity plus specificity logistic threshold: 0.3772 Maximum test sensitivity plus specificity area: 0.3695 Maximum test sensitivity plus specificity training omission: 0.1002 Maximum test sensitivity plus specificity test omission: 0.0847 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.5019 Balance training omission, predicted area and threshold value logistic threshold: 0.1058 Balance training omission, predicted area and threshold value area: 0.5243 Balance training omission, predicted area and threshold value training omission: 0.007 Balance training omission, predicted area and threshold value test omission: 0.0118 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 2.8524 Equate entropy of thresholded and original distributions logistic threshold: 0.1671 Equate entropy of thresholded and original distributions area: 0.4825 Equate entropy of thresholded and original distributions training omission: 0.0162 Equate entropy of thresholded and original distributions test omission: 0.0165 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/952c93a2-6ff5-4908-9528-01bddb6fdb8f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-6a_1940-2011_rev01	None	None
d85846cf-bd5b-4c9e-bd28-14ee1b2304fd	None	EUNIS habitat type F6.7, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-7_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 24 Regularized training gain: 3.9274 Unregularized training gain: 4.4227 Iterations: 500 Training AUC: 0.9961 #Test samples: 2 Test gain: 4.3971 Test AUC: 0.9968 AUC Standard Deviation: 0.0006 #Background points: 5018 bio_12_etrs2_ras contribution: 3.5452 bio_15_etrs2_ras contribution: 1.9717 bio_18_etrs2_ras contribution: 0.0221 bio_4_etrs2_ras contribution: 1.3211 bio_8_etrs2_ras contribution: 0 bld_m_sd1_1km_eu_ll contribution: 17.2713 cecsum_m_sd1_1km_eu_ll contribution: 0.3305 clyppt_m_sd1_1km_eu_ll contribution: 0 crfvol_m_sd1_1km_eu_ll contribution: 0.3214 dist2water1km contribution: 2.2883 orcdrc_m_sd1_1km_eu_ll contribution: 36.0461 pet_he_yr contribution: 15.4644 sltppt_m_sd1_1km_eu_ll contribution: 21.1382 sndppt_m_sd1_1km_eu_ll contribution: 0 solar_1km contribution: 0.2797 bio_12_etrs2_ras permutation importance: 2.0027 bio_15_etrs2_ras permutation importance: 1.063 bio_18_etrs2_ras permutation importance: 0.7619 bio_4_etrs2_ras permutation importance: 2.3401 bio_8_etrs2_ras permutation importance: 0 bld_m_sd1_1km_eu_ll permutation importance: 74.3025 cecsum_m_sd1_1km_eu_ll permutation importance: 1.4095 clyppt_m_sd1_1km_eu_ll permutation importance: 0 crfvol_m_sd1_1km_eu_ll permutation importance: 0 dist2water1km permutation importance: 0.3701 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.0834 pet_he_yr permutation importance: 2.9569 sltppt_m_sd1_1km_eu_ll permutation importance: 13.2297 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 1.4802 Training gain without bio_12_etrs2_ras: 3.8924 Training gain without bio_15_etrs2_ras: 3.8655 Training gain without bio_18_etrs2_ras: 3.9261 Training gain without bio_4_etrs2_ras: 3.8786 Training gain without bio_8_etrs2_ras: 3.9231 Training gain without bld_m_sd1_1km_eu_ll: 3.7399 Training gain without cecsum_m_sd1_1km_eu_ll: 3.9095 Training gain without clyppt_m_sd1_1km_eu_ll: 3.9211 Training gain without crfvol_m_sd1_1km_eu_ll: 3.9231 Training gain without dist2water1km: 3.8775 Training gain without orcdrc_m_sd1_1km_eu_ll: 3.9247 Training gain without pet_he_yr: 3.89 Training gain without sltppt_m_sd1_1km_eu_ll: 3.7867 Training gain without sndppt_m_sd1_1km_eu_ll: 3.9221 Training gain without solar_1km: 3.9035 Training gain with only bio_12_etrs2_ras: 1.3562 Training gain with only bio_15_etrs2_ras: 0.3848 Training gain with only bio_18_etrs2_ras: 1.3901 Training gain with only bio_4_etrs2_ras: 0.6484 Training gain with only bio_8_etrs2_ras: 0.2176 Training gain with only bld_m_sd1_1km_eu_ll: 2.457 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.8482 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.7163 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.6358 Training gain with only dist2water1km: 0.0506 Training gain with only orcdrc_m_sd1_1km_eu_ll: 2.0218 Training gain with only pet_he_yr: 2.1376 Training gain with only sltppt_m_sd1_1km_eu_ll: 1.1601 Training gain with only sndppt_m_sd1_1km_eu_ll: 1.1125 Training gain with only solar_1km: 0.2369 Test gain without bio_12_etrs2_ras: 4.4276 Test gain without bio_15_etrs2_ras: 4.2745 Test gain without bio_18_etrs2_ras: 4.3974 Test gain without bio_4_etrs2_ras: 4.3466 Test gain without bio_8_etrs2_ras: 4.3722 Test gain without bld_m_sd1_1km_eu_ll: 4.1797 Test gain without cecsum_m_sd1_1km_eu_ll: 4.3802 Test gain without clyppt_m_sd1_1km_eu_ll: 4.4035 Test gain without crfvol_m_sd1_1km_eu_ll: 4.3838 Test gain without dist2water1km: 4.3739 Test gain without orcdrc_m_sd1_1km_eu_ll: 4.3681 Test gain without pet_he_yr: 4.257 Test gain without sltppt_m_sd1_1km_eu_ll: 4.3537 Test gain without sndppt_m_sd1_1km_eu_ll: 4.4064 Test gain without solar_1km: 4.1663 Test gain with only bio_12_etrs2_ras: 0.7313 Test gain with only bio_15_etrs2_ras: 0.8871 Test gain with only bio_18_etrs2_ras: 1.9519 Test gain with only bio_4_etrs2_ras: 1.3971 Test gain with only bio_8_etrs2_ras: 0.4746 Test gain with only bld_m_sd1_1km_eu_ll: 2.9343 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.8253 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.7779 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.8564 Test gain with only dist2water1km: 0.0174 Test gain with only orcdrc_m_sd1_1km_eu_ll: 1.5202 Test gain with only pet_he_yr: 2.9046 Test gain with only sltppt_m_sd1_1km_eu_ll: 1.219 Test gain with only sndppt_m_sd1_1km_eu_ll: 1.0581 Test gain with only solar_1km: 0.78 AUC without bio_12_etrs2_ras: 0.997 AUC without bio_15_etrs2_ras: 0.996 AUC without bio_18_etrs2_ras: 0.9969 AUC without bio_4_etrs2_ras: 0.9961 AUC without bio_8_etrs2_ras: 0.9968 AUC without bld_m_sd1_1km_eu_ll: 0.9955 AUC without cecsum_m_sd1_1km_eu_ll: 0.9962 AUC without clyppt_m_sd1_1km_eu_ll: 0.9968 AUC without crfvol_m_sd1_1km_eu_ll: 0.9966 AUC without dist2water1km: 0.9969 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9967 AUC without pet_he_yr: 0.996 AUC without sltppt_m_sd1_1km_eu_ll: 0.9968 AUC without sndppt_m_sd1_1km_eu_ll: 0.9968 AUC without solar_1km: 0.9958 AUC with only bio_12_etrs2_ras: 0.8585 AUC with only bio_15_etrs2_ras: 0.9605 AUC with only bio_18_etrs2_ras: 0.9442 AUC with only bio_4_etrs2_ras: 0.9575 AUC with only bio_8_etrs2_ras: 0.8629 AUC with only bld_m_sd1_1km_eu_ll: 0.9833 AUC with only cecsum_m_sd1_1km_eu_ll: 0.8353 AUC with only clyppt_m_sd1_1km_eu_ll: 0.8117 AUC with only crfvol_m_sd1_1km_eu_ll: 0.8384 AUC with only dist2water1km: 0.5449 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.9374 AUC with only pet_he_yr: 0.9843 AUC with only sltppt_m_sd1_1km_eu_ll: 0.8967 AUC with only sndppt_m_sd1_1km_eu_ll: 0.8683 AUC with only solar_1km: 0.9298 Entropy: 4.5847 Prevalence (average of logistic output over background sites): 0.0091 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0054 Fixed cumulative value 1 area: 0.0793 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 6.29E-03 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0448 Fixed cumulative value 5 area: 0.0323 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.04E-03 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1038 Fixed cumulative value 10 area: 0.0193 Fixed cumulative value 10 training omission: 0 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 3.74E-04 Minimum training presence cumulative threshold: 16.1171 Minimum training presence logistic threshold: 0.2352 Minimum training presence area: 0.0128 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.63E-04 10 percentile training presence cumulative threshold: 25.4166 10 percentile training presence logistic threshold: 0.3692 10 percentile training presence area: 0.0088 10 percentile training presence training omission: 0.0833 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 7.69E-05 Equal training sensitivity and specificity cumulative threshold: 16.1171 Equal training sensitivity and specificity logistic threshold: 0.2352 Equal training sensitivity and specificity area: 0.0128 Equal training sensitivity and specificity training omission: 0 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 1.63E-04 Maximum training sensitivity plus specificity cumulative threshold: 16.1171 Maximum training sensitivity plus specificity logistic threshold: 0.2352 Maximum training sensitivity plus specificity area: 0.0128 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 1.63E-04 Equal test sensitivity and specificity cumulative threshold: 52.733 Equal test sensitivity and specificity logistic threshold: 0.5889 Equal test sensitivity and specificity area: 0.0034 Equal test sensitivity and specificity training omission: 0.375 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 1.15E-05 Maximum test sensitivity plus specificity cumulative threshold: 52.733 Maximum test sensitivity plus specificity logistic threshold: 0.5889 Maximum test sensitivity plus specificity area: 0.0034 Maximum test sensitivity plus specificity training omission: 0.375 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.15E-05 Balance training omission, predicted area and threshold value cumulative threshold: 1.3503 Balance training omission, predicted area and threshold value logistic threshold: 0.0078 Balance training omission, predicted area and threshold value area: 0.0686 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 4.70E-03 Equate entropy of thresholded and original distributions cumulative threshold: 10.1085 Equate entropy of thresholded and original distributions logistic threshold: 0.1038 Equate entropy of thresholded and original distributions area: 0.0193 Equate entropy of thresholded and original distributions training omission: 0 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 3.74E-04	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d85846cf-bd5b-4c9e-bd28-14ee1b2304fd	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f6-7_1940-2011_rev01	None	None
c459aa6d-6032-48f3-a288-8ad339a159ec	None	EUNIS habitat type G2.2 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c459aa6d-6032-48f3-a288-8ad339a159ec	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g2-2_1940-2011_rev01	None	None
07e45088-961e-4d72-8ba1-c74f012c0868	None	EUNIS habitat type F6-1b distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/07e45088-961e-4d72-8ba1-c74f012c0868	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f6-1b_1940-2011_rev01	None	None
7903bc63-58e3-4f3e-a4bf-a1646d7c9c7a	None	EUNIS habitat type F6-8a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-8a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7903bc63-58e3-4f3e-a4bf-a1646d7c9c7a	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f6-8a_1940-2011_rev01	None	None
c1cd914e-4962-47fc-869d-8cff1f446a02	None	EUNIS habitat type F6-6 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-6_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c1cd914e-4962-47fc-869d-8cff1f446a02	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f6-6_1940-2011_rev01	None	None
c87e19e3-f4a0-4fb8-b581-ef92283590db	None	EUNIS habitat type G1.4, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-4_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 912 Regularized training gain: 0.7392 Unregularized training gain: 0.8525 Iterations: 500 Training AUC: 0.8424 #Test samples: 101 Test gain: 0.7284 Test AUC: 0.8173 AUC Standard Deviation: 0.0174 #Background points: 10580 bio_12_etrs2_ras contribution: 12.3519 bio_15_etrs2_ras contribution: 0.8557 bio_18_etrs2_ras contribution: 18.6273 bio_4_etrs2_ras contribution: 2.535 bio_8_etrs2_ras contribution: 16.2205 dist2water1km contribution: 0.0447 pet_he_yr contribution: 9.4265 soil_ph contribution: 4.6459 solar_1km contribution: 35.2926 bio_12_etrs2_ras permutation importance: 13.6586 bio_15_etrs2_ras permutation importance: 4.0317 bio_18_etrs2_ras permutation importance: 18.4178 bio_4_etrs2_ras permutation importance: 2.9111 bio_8_etrs2_ras permutation importance: 4.1676 dist2water1km permutation importance: 0.0715 pet_he_yr permutation importance: 11.5987 soil_ph permutation importance: 5.3003 solar_1km permutation importance: 39.8427 Training gain without bio_12_etrs2_ras: 0.7256 Training gain without bio_15_etrs2_ras: 0.7317 Training gain without bio_18_etrs2_ras: 0.7149 Training gain without bio_4_etrs2_ras: 0.7293 Training gain without bio_8_etrs2_ras: 0.728 Training gain without dist2water1km: 0.7392 Training gain without pet_he_yr: 0.7197 Training gain without soil_ph: 0.7154 Training gain without solar_1km: 0.6433 Training gain with only bio_12_etrs2_ras: 0.2558 Training gain with only bio_15_etrs2_ras: 0.0594 Training gain with only bio_18_etrs2_ras: 0.3061 Training gain with only bio_4_etrs2_ras: 0.04 Training gain with only bio_8_etrs2_ras: 0.2483 Training gain with only dist2water1km: 0.0044 Training gain with only pet_he_yr: 0.1689 Training gain with only soil_ph: 0.1074 Training gain with only solar_1km: 0.4059 Test gain without bio_12_etrs2_ras: 0.7319 Test gain without bio_15_etrs2_ras: 0.7082 Test gain without bio_18_etrs2_ras: 0.709 Test gain without bio_4_etrs2_ras: 0.7379 Test gain without bio_8_etrs2_ras: 0.6971 Test gain without dist2water1km: 0.7273 Test gain without pet_he_yr: 0.6924 Test gain without soil_ph: 0.6988 Test gain without solar_1km: 0.6756 Test gain with only bio_12_etrs2_ras: 0.2155 Test gain with only bio_15_etrs2_ras: 0.0712 Test gain with only bio_18_etrs2_ras: 0.2763 Test gain with only bio_4_etrs2_ras: 0.076 Test gain with only bio_8_etrs2_ras: 0.2765 Test gain with only dist2water1km: -0.0077 Test gain with only pet_he_yr: 0.1493 Test gain with only soil_ph: 0.1396 Test gain with only solar_1km: 0.3617 AUC without bio_12_etrs2_ras: 0.8197 AUC without bio_15_etrs2_ras: 0.8131 AUC without bio_18_etrs2_ras: 0.8133 AUC without bio_4_etrs2_ras: 0.8192 AUC without bio_8_etrs2_ras: 0.8107 AUC without dist2water1km: 0.8165 AUC without pet_he_yr: 0.811 AUC without soil_ph: 0.8147 AUC without solar_1km: 0.8035 AUC with only bio_12_etrs2_ras: 0.6866 AUC with only bio_15_etrs2_ras: 0.5819 AUC with only bio_18_etrs2_ras: 0.6863 AUC with only bio_4_etrs2_ras: 0.6182 AUC with only bio_8_etrs2_ras: 0.716 AUC with only dist2water1km: 0.5139 AUC with only pet_he_yr: 0.6349 AUC with only soil_ph: 0.6468 AUC with only solar_1km: 0.7345 Entropy: 8.5288 Prevalence (average of logistic output over background sites): 0.235 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.052 Fixed cumulative value 1 area: 0.7133 Fixed cumulative value 1 training omission: 0.0066 Fixed cumulative value 1 test omission: 0.0099 Fixed cumulative value 1 binomial probability: 3.85E-10 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1535 Fixed cumulative value 5 area: 0.5454 Fixed cumulative value 5 training omission: 0.0351 Fixed cumulative value 5 test omission: 0.0396 Fixed cumulative value 5 binomial probability: 2.73E-17 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2226 Fixed cumulative value 10 area: 0.4431 Fixed cumulative value 10 training omission: 0.0757 Fixed cumulative value 10 test omission: 0.099 Fixed cumulative value 10 binomial probability: 9.88E-21 Minimum training presence cumulative threshold: 0.0248 Minimum training presence logistic threshold: 0.0038 Minimum training presence area: 0.9313 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.17E-03 10 percentile training presence cumulative threshold: 12.5397 10 percentile training presence logistic threshold: 0.2476 10 percentile training presence area: 0.4037 10 percentile training presence training omission: 0.0998 10 percentile training presence test omission: 0.1287 10 percentile training presence binomial probability: 4.94E-22 Equal training sensitivity and specificity cumulative threshold: 28.792 Equal training sensitivity and specificity logistic threshold: 0.3916 Equal training sensitivity and specificity area: 0.2379 Equal training sensitivity and specificity training omission: 0.2379 Equal training sensitivity and specificity test omission: 0.3069 Equal training sensitivity and specificity binomial probability: 3.20E-27 Maximum training sensitivity plus specificity cumulative threshold: 21.6377 Maximum training sensitivity plus specificity logistic threshold: 0.3364 Maximum training sensitivity plus specificity area: 0.2975 Maximum training sensitivity plus specificity training omission: 0.1678 Maximum training sensitivity plus specificity test omission: 0.2376 Maximum training sensitivity plus specificity binomial probability: 8.22E-25 Equal test sensitivity and specificity cumulative threshold: 26.2295 Equal test sensitivity and specificity logistic threshold: 0.374 Equal test sensitivity and specificity area: 0.2576 Equal test sensitivity and specificity training omission: 0.2215 Equal test sensitivity and specificity test omission: 0.2574 Equal test sensitivity and specificity binomial probability: 3.72E-29 Maximum test sensitivity plus specificity cumulative threshold: 16.7376 Maximum test sensitivity plus specificity logistic threshold: 0.2904 Maximum test sensitivity plus specificity area: 0.3488 Maximum test sensitivity plus specificity training omission: 0.1272 Maximum test sensitivity plus specificity test omission: 0.1584 Maximum test sensitivity plus specificity binomial probability: 1.35E-25 Balance training omission, predicted area and threshold value cumulative threshold: 3.0682 Balance training omission, predicted area and threshold value logistic threshold: 0.1161 Balance training omission, predicted area and threshold value area: 0.6045 Balance training omission, predicted area and threshold value training omission: 0.0132 Balance training omission, predicted area and threshold value test omission: 0.0297 Balance training omission, predicted area and threshold value binomial probability: 2.78E-14 Equate entropy of thresholded and original distributions cumulative threshold: 8.0374 Equate entropy of thresholded and original distributions logistic threshold: 0.2003 Equate entropy of thresholded and original distributions area: 0.4781 Equate entropy of thresholded and original distributions training omission: 0.0581 Equate entropy of thresholded and original distributions test omission: 0.0891 Equate entropy of thresholded and original distributions binomial probability: 1.55E-18	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c87e19e3-f4a0-4fb8-b581-ef92283590db	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-4_1940-2011_rev01	None	None
b3f9a053-2319-4af5-89f7-660b014593ba	None	EUNIS habitat type B2-5 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B2-5_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b3f9a053-2319-4af5-89f7-660b014593ba	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b2-5_1940-2011_rev01	None	None
2d859847-31e4-46a6-bc7f-7312e50dce88	None	EUNIS habitat type B2.5, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1) Remarks: Inland prediction should be ignored. Hardly any prediction in large parts of the potential area. Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observations in large parts of the potential area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B2-5_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 59 Regularized training gain: 3.5846 Unregularized training gain: 3.8402 Iterations: 500 Training AUC: 0.9905 #Test samples: 6 Test gain: 3.8198 Test AUC: 0.9929 AUC Standard Deviation: 0.0027 #Background points: 5059 bio_12_etrs2_ras contribution: 0 bio_15_etrs2_ras contribution: 4.0617 bio_18_etrs2_ras contribution: 0.1644 bio_4_etrs2_ras contribution: 34.3603 bio_8_etrs2_ras contribution: 0.47 bld_m_sd1_1km_eu_ll contribution: 5.0144 cecsum_m_sd1_1km_eu_ll contribution: 0.7953 clyppt_m_sd1_1km_eu_ll contribution: 0.7418 crfvol_m_sd1_1km_eu_ll contribution: 0.8194 dist2water1km contribution: 5.4668 orcdrc_m_sd1_1km_eu_ll contribution: 0.0484 pet_he_yr contribution: 9.6488 phihox_m_sd1_1km_eu_ll contribution: 2.2699 sltppt_m_sd1_1km_eu_ll contribution: 29.8844 sndppt_m_sd1_1km_eu_ll contribution: 5.8407 solar_1km contribution: 0.4136 bio_12_etrs2_ras permutation importance: 0 bio_15_etrs2_ras permutation importance: 4.0006 bio_18_etrs2_ras permutation importance: 0.0167 bio_4_etrs2_ras permutation importance: 63.0853 bio_8_etrs2_ras permutation importance: 0.121 bld_m_sd1_1km_eu_ll permutation importance: 1.1326 cecsum_m_sd1_1km_eu_ll permutation importance: 0.3588 clyppt_m_sd1_1km_eu_ll permutation importance: 0.8614 crfvol_m_sd1_1km_eu_ll permutation importance: 0.8281 dist2water1km permutation importance: 0.194 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.0292 pet_he_yr permutation importance: 1.3996 phihox_m_sd1_1km_eu_ll permutation importance: 0.098 sltppt_m_sd1_1km_eu_ll permutation importance: 23.1442 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 4.7306 Entropy: 4.9448 Prevalence (average of logistic output over background sites): 0.0127 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0041 Fixed cumulative value 1 area: 0.1279 Fixed cumulative value 1 training omission: 0.0169 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 4.38E-06 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0404 Fixed cumulative value 5 area: 0.0466 Fixed cumulative value 5 training omission: 0.0339 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.03E-08 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1047 Fixed cumulative value 10 area: 0.0273 Fixed cumulative value 10 training omission: 0.0508 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 4.12E-10 Minimum training presence cumulative threshold: 0.9716 Minimum training presence logistic threshold: 0.0039 Minimum training presence area: 0.1297 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 4.75E-06 10 percentile training presence cumulative threshold: 20.4413 10 percentile training presence logistic threshold: 0.2916 10 percentile training presence area: 0.013 10 percentile training presence training omission: 0.0847 10 percentile training presence test omission: 0.1667 10 percentile training presence binomial probability: 2.24E-09 Equal training sensitivity and specificity cumulative threshold: 5.6343 Equal training sensitivity and specificity logistic threshold: 0.0461 Equal training sensitivity and specificity area: 0.0429 Equal training sensitivity and specificity training omission: 0.0508 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 6.23E-09 Maximum training sensitivity plus specificity cumulative threshold: 4.932 Maximum training sensitivity plus specificity logistic threshold: 0.0394 Maximum training sensitivity plus specificity area: 0.047 Maximum training sensitivity plus specificity training omission: 0.0169 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 1.08E-08 Equal test sensitivity and specificity cumulative threshold: 14.7808 Equal test sensitivity and specificity logistic threshold: 0.1683 Equal test sensitivity and specificity area: 0.0188 Equal test sensitivity and specificity training omission: 0.0678 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 4.39E-11 Maximum test sensitivity plus specificity cumulative threshold: 14.7808 Maximum test sensitivity plus specificity logistic threshold: 0.1683 Maximum test sensitivity plus specificity area: 0.0188 Maximum test sensitivity plus specificity training omission: 0.0678 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 4.39E-11 Balance training omission, predicted area and threshold value cumulative threshold: 0.9716 Balance training omission, predicted area and threshold value logistic threshold: 0.0039 Balance training omission, predicted area and threshold value area: 0.1297 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 4.75E-06 Equate entropy of thresholded and original distributions cumulative threshold: 9.882 Equate entropy of thresholded and original distributions logistic threshold: 0.1032 Equate entropy of thresholded and original distributions area: 0.0277 Equate entropy of thresholded and original distributions training omission: 0.0508 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 4.49E-10	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d859847-31e4-46a6-bc7f-7312e50dce88	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b2-5_1940-2011_rev01	None	None
d851c7ee-ff22-4154-89e1-8fd0692b6ec9	None	EUNIS habitat type G1.7, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-7_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 3240 Regularized training gain: 0.4481 Unregularized training gain: 0.4984 Iterations: 500 Training AUC: 0.7726 #Test samples: 359 Test gain: 0.4841 Test AUC: 0.768 AUC Standard Deviation: 0.0102 #Background points: 12880 bio_12_etrs2_ras contribution: 1.5267 bio_15_etrs2_ras contribution: 2.2401 bio_18_etrs2_ras contribution: 10.3186 bio_4_etrs2_ras contribution: 3.8745 bio_8_etrs2_ras contribution: 3.3564 dist2water1km contribution: 0.4704 pet_he_yr contribution: 75.8512 soil_ph contribution: 1.5313 solar_1km contribution: 0.8308 bio_12_etrs2_ras permutation importance: 8.5471 bio_15_etrs2_ras permutation importance: 1.7433 bio_18_etrs2_ras permutation importance: 28.5836 bio_4_etrs2_ras permutation importance: 10.1037 bio_8_etrs2_ras permutation importance: 4.8831 dist2water1km permutation importance: 0.4372 pet_he_yr permutation importance: 43.5838 soil_ph permutation importance: 0.8323 solar_1km permutation importance: 1.2859 Training gain without bio_12_etrs2_ras: 0.4383 Training gain without bio_15_etrs2_ras: 0.4451 Training gain without bio_18_etrs2_ras: 0.4144 Training gain without bio_4_etrs2_ras: 0.4235 Training gain without bio_8_etrs2_ras: 0.4339 Training gain without dist2water1km: 0.4462 Training gain without pet_he_yr: 0.363 Training gain without soil_ph: 0.4451 Training gain without solar_1km: 0.4452 Training gain with only bio_12_etrs2_ras: 0.054 Training gain with only bio_15_etrs2_ras: 0.0377 Training gain with only bio_18_etrs2_ras: 0.1409 Training gain with only bio_4_etrs2_ras: 0.0639 Training gain with only bio_8_etrs2_ras: 0.1118 Training gain with only dist2water1km: 0.0006 Training gain with only pet_he_yr: 0.353 Training gain with only soil_ph: 0.0741 Training gain with only solar_1km: 0.0312 Test gain without bio_12_etrs2_ras: 0.4823 Test gain without bio_15_etrs2_ras: 0.4763 Test gain without bio_18_etrs2_ras: 0.4537 Test gain without bio_4_etrs2_ras: 0.4441 Test gain without bio_8_etrs2_ras: 0.4509 Test gain without dist2water1km: 0.4962 Test gain without pet_he_yr: 0.4262 Test gain without soil_ph: 0.4849 Test gain without solar_1km: 0.4809 Test gain with only bio_12_etrs2_ras: 0.0608 Test gain with only bio_15_etrs2_ras: 0.0719 Test gain with only bio_18_etrs2_ras: 0.1346 Test gain with only bio_4_etrs2_ras: 0.1006 Test gain with only bio_8_etrs2_ras: 0.1714 Test gain with only dist2water1km: -0.0053 Test gain with only pet_he_yr: 0.3424 Test gain with only soil_ph: 0.0689 Test gain with only solar_1km: 0.0537 AUC without bio_12_etrs2_ras: 0.7676 AUC without bio_15_etrs2_ras: 0.7657 AUC without bio_18_etrs2_ras: 0.7586 AUC without bio_4_etrs2_ras: 0.7555 AUC without bio_8_etrs2_ras: 0.7583 AUC without dist2water1km: 0.772 AUC without pet_he_yr: 0.761 AUC without soil_ph: 0.7676 AUC without solar_1km: 0.7669 AUC with only bio_12_etrs2_ras: 0.6014 AUC with only bio_15_etrs2_ras: 0.6148 AUC with only bio_18_etrs2_ras: 0.6444 AUC with only bio_4_etrs2_ras: 0.6265 AUC with only bio_8_etrs2_ras: 0.6681 AUC with only dist2water1km: 0.4735 AUC with only pet_he_yr: 0.7178 AUC with only soil_ph: 0.5955 AUC with only solar_1km: 0.567 Entropy: 9.018 Prevalence (average of logistic output over background sites): 0.3156 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0917 Fixed cumulative value 1 area: 0.8307 Fixed cumulative value 1 training omission: 0.0068 Fixed cumulative value 1 test omission: 0.0056 Fixed cumulative value 1 binomial probability: 6.52E-17 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1767 Fixed cumulative value 5 area: 0.6585 Fixed cumulative value 5 training omission: 0.0306 Fixed cumulative value 5 test omission: 0.0418 Fixed cumulative value 5 binomial probability: 2.43E-33 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2631 Fixed cumulative value 10 area: 0.5446 Fixed cumulative value 10 training omission: 0.0762 Fixed cumulative value 10 test omission: 0.0752 Fixed cumulative value 10 binomial probability: 1.03E-47 Minimum training presence cumulative threshold: 0.0149 Minimum training presence logistic threshold: 0.009 Minimum training presence area: 0.9853 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.04E-02 10 percentile training presence cumulative threshold: 12.6212 10 percentile training presence logistic threshold: 0.2971 10 percentile training presence area: 0.5013 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.0891 10 percentile training presence binomial probability: 1.28E-54 Equal training sensitivity and specificity cumulative threshold: 33.1923 Equal training sensitivity and specificity logistic threshold: 0.4654 Equal training sensitivity and specificity area: 0.2958 Equal training sensitivity and specificity training omission: 0.2957 Equal training sensitivity and specificity test omission: 0.3092 Equal training sensitivity and specificity binomial probability: 9.86E-61 Maximum training sensitivity plus specificity cumulative threshold: 24.8998 Maximum training sensitivity plus specificity logistic threshold: 0.4201 Maximum training sensitivity plus specificity area: 0.3624 Maximum training sensitivity plus specificity training omission: 0.2157 Maximum training sensitivity plus specificity test omission: 0.2284 Maximum training sensitivity plus specificity binomial probability: 8.15E-59 Equal test sensitivity and specificity cumulative threshold: 32.1479 Equal test sensitivity and specificity logistic threshold: 0.4603 Equal test sensitivity and specificity area: 0.3036 Equal test sensitivity and specificity training omission: 0.2861 Equal test sensitivity and specificity test omission: 0.3036 Equal test sensitivity and specificity binomial probability: 3.36E-59 Maximum test sensitivity plus specificity cumulative threshold: 16.053 Maximum test sensitivity plus specificity logistic threshold: 0.3371 Maximum test sensitivity plus specificity area: 0.454 Maximum test sensitivity plus specificity training omission: 0.1346 Maximum test sensitivity plus specificity test omission: 0.1226 Maximum test sensitivity plus specificity binomial probability: 9.85E-59 Balance training omission, predicted area and threshold value cumulative threshold: 2.721 Balance training omission, predicted area and threshold value logistic threshold: 0.1279 Balance training omission, predicted area and threshold value area: 0.7409 Balance training omission, predicted area and threshold value training omission: 0.012 Balance training omission, predicted area and threshold value test omission: 0.0223 Balance training omission, predicted area and threshold value binomial probability: 6.52E-25 Equate entropy of thresholded and original distributions cumulative threshold: 5.6288 Equate entropy of thresholded and original distributions logistic threshold: 0.1888 Equate entropy of thresholded and original distributions area: 0.6405 Equate entropy of thresholded and original distributions training omission: 0.034 Equate entropy of thresholded and original distributions test omission: 0.0474 Equate entropy of thresholded and original distributions binomial probability: 3.35E-35	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d851c7ee-ff22-4154-89e1-8fd0692b6ec9	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-7_1940-2011_rev01	None	None
a5fa4a23-d1b0-4150-92f6-58c84f9f5559	None	EUNIS habitat type F7.1, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-1_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 14 Regularized training gain: 3.6938 Unregularized training gain: 4.2035 Iterations: 220 Training AUC: 0.9931 #Test samples: 1 Test gain: 1.8738 Test AUC: 0.9766 AUC Standard Deviation: -1 #Background points: 5010 bio_12_etrs2_ras contribution: 5.8502 bio_15_etrs2_ras contribution: 20.7746 bio_18_etrs2_ras contribution: 50.9292 bio_4_etrs2_ras contribution: 7.3093 bio_8_etrs2_ras contribution: 0 bld_m_sd1_1km_eu_ll contribution: 0.0243 cecsum_m_sd1_1km_eu_ll contribution: 0.0036 clyppt_m_sd1_1km_eu_ll contribution: 2.1209 crfvol_m_sd1_1km_eu_ll contribution: 0 dist2water1km contribution: 0.5286 eu_mask_1km contribution: 0 orcdrc_m_sd1_1km_eu_ll contribution: 0.1832 pet_he_yr contribution: 0.5715 phihox_m_sd1_1km_eu_ll contribution: 8.6147 sltppt_m_sd1_1km_eu_ll contribution: 0.5677 sndppt_m_sd1_1km_eu_ll contribution: 0 solar_1km contribution: 2.5222 bio_12_etrs2_ras permutation importance: 0 bio_15_etrs2_ras permutation importance: 0.3316 bio_18_etrs2_ras permutation importance: 93.5178 bio_4_etrs2_ras permutation importance: 0.7683 bio_8_etrs2_ras permutation importance: 0 bld_m_sd1_1km_eu_ll permutation importance: 0 cecsum_m_sd1_1km_eu_ll permutation importance: 0.0415 clyppt_m_sd1_1km_eu_ll permutation importance: 0.7738 crfvol_m_sd1_1km_eu_ll permutation importance: 0 dist2water1km permutation importance: 0.1658 eu_mask_1km permutation importance: 0 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.0843 pet_he_yr permutation importance: 0.0636 phihox_m_sd1_1km_eu_ll permutation importance: 1.368 sltppt_m_sd1_1km_eu_ll permutation importance: 0 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 2.8853 Training gain without bio_12_etrs2_ras: 3.6789 Training gain without bio_15_etrs2_ras: 3.661 Training gain without bio_18_etrs2_ras: 3.2293 Training gain without bio_4_etrs2_ras: 3.648 Training gain without bio_8_etrs2_ras: 3.6938 Training gain without bld_m_sd1_1km_eu_ll: 3.6888 Training gain without cecsum_m_sd1_1km_eu_ll: 3.6934 Training gain without clyppt_m_sd1_1km_eu_ll: 3.6365 Training gain without crfvol_m_sd1_1km_eu_ll: 3.6938 Training gain without dist2water1km: 3.6633 Training gain without eu_mask_1km: 3.6938 Training gain without orcdrc_m_sd1_1km_eu_ll: 3.6898 Training gain without pet_he_yr: 3.6882 Training gain without phihox_m_sd1_1km_eu_ll: 3.4709 Training gain without sltppt_m_sd1_1km_eu_ll: 3.6833 Training gain without sndppt_m_sd1_1km_eu_ll: 3.6938 Training gain without solar_1km: 3.6186 Training gain with only bio_12_etrs2_ras: 1.058 Training gain with only bio_15_etrs2_ras: 1.8027 Training gain with only bio_18_etrs2_ras: 2.5913 Training gain with only bio_4_etrs2_ras: 0.3171 Training gain with only bio_8_etrs2_ras: 0.1227 Training gain with only bld_m_sd1_1km_eu_ll: 1.2031 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.0889 Training gain with only clyppt_m_sd1_1km_eu_ll: 1.0172 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.0007 Training gain with only dist2water1km: 0.0921 Training gain with only eu_mask_1km: 0 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.1227 Training gain with only pet_he_yr: 0.6382 Training gain with only phihox_m_sd1_1km_eu_ll: 0.4811 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.0672 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.1149 Training gain with only solar_1km: 0.3461 Test gain without bio_12_etrs2_ras: 1.9413 Test gain without bio_15_etrs2_ras: 1.7474 Test gain without bio_18_etrs2_ras: 1.1414 Test gain without bio_4_etrs2_ras: 1.3894 Test gain without bio_8_etrs2_ras: 1.8735 Test gain without bld_m_sd1_1km_eu_ll: 1.991 Test gain without cecsum_m_sd1_1km_eu_ll: 1.9039 Test gain without clyppt_m_sd1_1km_eu_ll: 1.9696 Test gain without crfvol_m_sd1_1km_eu_ll: 1.8735 Test gain without dist2water1km: 1.872 Test gain without eu_mask_1km: 1.8735 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.8402 Test gain without pet_he_yr: 2.0078 Test gain without phihox_m_sd1_1km_eu_ll: 2.7097 Test gain without sltppt_m_sd1_1km_eu_ll: 1.7338 Test gain without sndppt_m_sd1_1km_eu_ll: 1.8725 Test gain without solar_1km: 2.2785 Test gain with only bio_12_etrs2_ras: 0.1133 Test gain with only bio_15_etrs2_ras: 1.6881 Test gain with only bio_18_etrs2_ras: 1.8544 Test gain with only bio_4_etrs2_ras: 0.5554 Test gain with only bio_8_etrs2_ras: 0.2771 Test gain with only bld_m_sd1_1km_eu_ll: -0.0124 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.0557 Test gain with only clyppt_m_sd1_1km_eu_ll: 1.1395 Test gain with only crfvol_m_sd1_1km_eu_ll: -0.0124 Test gain with only dist2water1km: 0.675 Test gain with only eu_mask_1km: 0 Test gain with only orcdrc_m_sd1_1km_eu_ll: -0.0074 Test gain with only pet_he_yr: 0.5352 Test gain with only phihox_m_sd1_1km_eu_ll: 0.8038 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.1664 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.1828 Test gain with only solar_1km: -0.2806 AUC without bio_12_etrs2_ras: 0.9772 AUC without bio_15_etrs2_ras: 0.9741 AUC without bio_18_etrs2_ras: 0.9679 AUC without bio_4_etrs2_ras: 0.9621 AUC without bio_8_etrs2_ras: 0.9766 AUC without bld_m_sd1_1km_eu_ll: 0.9778 AUC without cecsum_m_sd1_1km_eu_ll: 0.9768 AUC without clyppt_m_sd1_1km_eu_ll: 0.9778 AUC without crfvol_m_sd1_1km_eu_ll: 0.9766 AUC without dist2water1km: 0.9769 AUC without eu_mask_1km: 0.9766 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9741 AUC without pet_he_yr: 0.9788 AUC without phihox_m_sd1_1km_eu_ll: 0.9844 AUC without sltppt_m_sd1_1km_eu_ll: 0.9727 AUC without sndppt_m_sd1_1km_eu_ll: 0.9766 AUC without solar_1km: 0.9822 AUC with only bio_12_etrs2_ras: 0.7729 AUC with only bio_15_etrs2_ras: 0.9474 AUC with only bio_18_etrs2_ras: 0.9497 AUC with only bio_4_etrs2_ras: 0.8575 AUC with only bio_8_etrs2_ras: 0.6626 AUC with only bld_m_sd1_1km_eu_ll: 0.7924 AUC with only cecsum_m_sd1_1km_eu_ll: 0.4261 AUC with only clyppt_m_sd1_1km_eu_ll: 0.9233 AUC with only crfvol_m_sd1_1km_eu_ll: 0.3696 AUC with only dist2water1km: 0.9635 AUC with only eu_mask_1km: 0.5 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.4873 AUC with only pet_he_yr: 0.8378 AUC with only phihox_m_sd1_1km_eu_ll: 0.8917 AUC with only sltppt_m_sd1_1km_eu_ll: 0.7119 AUC with only sndppt_m_sd1_1km_eu_ll: 0.6198 AUC with only solar_1km: 0.3889 Entropy: 4.8254 Prevalence (average of logistic output over background sites): 0.0118 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0068 Fixed cumulative value 1 area: 0.098 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 9.80E-02 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0464 Fixed cumulative value 5 area: 0.0509 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 5.09E-02 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.0931 Fixed cumulative value 10 area: 0.0337 Fixed cumulative value 10 training omission: 0.0714 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 3.37E-02 Minimum training presence cumulative threshold: 7.0042 Minimum training presence logistic threshold: 0.0656 Minimum training presence area: 0.0427 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 4.27E-02 10 percentile training presence cumulative threshold: 14.7004 10 percentile training presence logistic threshold: 0.1342 10 percentile training presence area: 0.0248 10 percentile training presence training omission: 0.0714 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 2.48E-02 Equal training sensitivity and specificity cumulative threshold: 7.0042 Equal training sensitivity and specificity logistic threshold: 0.0656 Equal training sensitivity and specificity area: 0.0427 Equal training sensitivity and specificity training omission: 0.0714 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 4.27E-02 Maximum training sensitivity plus specificity cumulative threshold: 7.0042 Maximum training sensitivity plus specificity logistic threshold: 0.0656 Maximum training sensitivity plus specificity area: 0.0427 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 4.27E-02 Equal test sensitivity and specificity cumulative threshold: 15.5883 Equal test sensitivity and specificity logistic threshold: 0.1394 Equal test sensitivity and specificity area: 0.0234 Equal test sensitivity and specificity training omission: 0.1429 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 2.33E-02 Maximum test sensitivity plus specificity cumulative threshold: 15.5883 Maximum test sensitivity plus specificity logistic threshold: 0.1394 Maximum test sensitivity plus specificity area: 0.0234 Maximum test sensitivity plus specificity training omission: 0.1429 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 2.33E-02 Balance training omission, predicted area and threshold value cumulative threshold: 1.3323 Balance training omission, predicted area and threshold value logistic threshold: 0.0098 Balance training omission, predicted area and threshold value area: 0.088 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 8.80E-02 Equate entropy of thresholded and original distributions cumulative threshold: 14.7004 Equate entropy of thresholded and original distributions logistic threshold: 0.1342 Equate entropy of thresholded and original distributions area: 0.0248 Equate entropy of thresholded and original distributions training omission: 0.0714 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 2.48E-02	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a5fa4a23-d1b0-4150-92f6-58c84f9f5559	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f7-1_1940-2011_rev01	None	None
a0e88b51-796e-44ea-809a-73d89c301e86	None	EUNIS habitat type G2.4, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-4_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 98 Regularized training gain: 3.0799 Unregularized training gain: 3.3303 Iterations: 500 Training AUC: 0.9854 #Test samples: 10 Test gain: 2.9695 Test AUC: 0.983 AUC Standard Deviation: 0.0055 #Background points: 10097 bio_12_etrs2_ras contribution: 0.1689 bio_15_etrs2_ras contribution: 13.7568 bio_18_etrs2_ras contribution: 29.1226 bio_4_etrs2_ras contribution: 38.9364 bio_8_etrs2_ras contribution: 8.5614 dist2water1km contribution: 3.2349 pet_he_yr contribution: 3.6343 soil_ph contribution: 0.2087 solar_1km contribution: 2.3759 bio_12_etrs2_ras permutation importance: 0.3127 bio_15_etrs2_ras permutation importance: 13.2136 bio_18_etrs2_ras permutation importance: 8.3879 bio_4_etrs2_ras permutation importance: 60.0375 bio_8_etrs2_ras permutation importance: 9.6078 dist2water1km permutation importance: 1.9706 pet_he_yr permutation importance: 1.3053 soil_ph permutation importance: 0.9391 solar_1km permutation importance: 4.2256 Entropy: 6.1717 Prevalence (average of logistic output over background sites): 0.0219 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0026 Fixed cumulative value 1 area: 0.3102 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 8.25E-06 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0308 Fixed cumulative value 5 area: 0.0848 Fixed cumulative value 5 training omission: 0.0204 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.92E-11 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1109 Fixed cumulative value 10 area: 0.0466 Fixed cumulative value 10 training omission: 0.0918 Fixed cumulative value 10 test omission: 0.1 Fixed cumulative value 10 binomial probability: 1.00E-11 Minimum training presence cumulative threshold: 1.8782 Minimum training presence logistic threshold: 0.0055 Minimum training presence area: 0.1992 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 9.82E-08 10 percentile training presence cumulative threshold: 13.8101 10 percentile training presence logistic threshold: 0.1731 10 percentile training presence area: 0.0356 10 percentile training presence training omission: 0.0918 10 percentile training presence test omission: 0.1 10 percentile training presence binomial probability: 8.79E-13 Equal training sensitivity and specificity cumulative threshold: 7.2719 Equal training sensitivity and specificity logistic threshold: 0.0595 Equal training sensitivity and specificity area: 0.0612 Equal training sensitivity and specificity training omission: 0.0612 Equal training sensitivity and specificity test omission: 0.1 Equal training sensitivity and specificity binomial probability: 1.14E-10 Maximum training sensitivity plus specificity cumulative threshold: 5.802 Maximum training sensitivity plus specificity logistic threshold: 0.0407 Maximum training sensitivity plus specificity area: 0.0745 Maximum training sensitivity plus specificity training omission: 0.0204 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 5.25E-12 Equal test sensitivity and specificity cumulative threshold: 6.7574 Equal test sensitivity and specificity logistic threshold: 0.0542 Equal test sensitivity and specificity area: 0.0653 Equal test sensitivity and specificity training omission: 0.051 Equal test sensitivity and specificity test omission: 0.1 Equal test sensitivity and specificity binomial probability: 2.02E-10 Maximum test sensitivity plus specificity cumulative threshold: 6.748 Maximum test sensitivity plus specificity logistic threshold: 0.054 Maximum test sensitivity plus specificity area: 0.0653 Maximum test sensitivity plus specificity training omission: 0.051 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 1.40E-12 Balance training omission, predicted area and threshold value cumulative threshold: 3.8774 Balance training omission, predicted area and threshold value logistic threshold: 0.0186 Balance training omission, predicted area and threshold value area: 0.1066 Balance training omission, predicted area and threshold value training omission: 0.0102 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 1.89E-10 Equate entropy of thresholded and original distributions cumulative threshold: 9.825 Equate entropy of thresholded and original distributions logistic threshold: 0.108 Equate entropy of thresholded and original distributions area: 0.0473 Equate entropy of thresholded and original distributions training omission: 0.0918 Equate entropy of thresholded and original distributions test omission: 0.1 Equate entropy of thresholded and original distributions binomial probability: 1.14E-11	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0e88b51-796e-44ea-809a-73d89c301e86	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g2-4_1940-2011_rev01	None	None
09b8a657-1da9-49b9-919c-910d7b114573	None	EUNIS habitat type G1.1 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-1_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/09b8a657-1da9-49b9-919c-910d7b114573	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-1_1940-2011_rev01	None	None
62021d4b-5632-4355-b801-7a03785ff7a7	None	EUNIS habitat type B1.5a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: Coastal sand dunes and sea shores according to Bohn map (P1) Remarks: Inland prediction should be ignored. Hardly any prediction in the Baltic region. Coastal habitats are difficult to model and often deliver unsatifying results. There are various reasons for this; 1) the area in which the habitat occurs is very small, 2) some observations do not match with all environmental layers and are therefore left out of the analysis, 3) lack of observation data in large parts of the potential area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 17 Regularized training gain: 5.1816 Unregularized training gain: 5.467 Iterations: 500 Training AUC: 0.9983 #Test samples: 1 Test gain: 5.5287 Test AUC: 0.9978 AUC Standard Deviation: -1 #Background points: 5017 bio_12_etrs2_ras contribution: 0.0401 bio_15_etrs2_ras contribution: 0 bio_18_etrs2_ras contribution: 9.181 bio_4_etrs2_ras contribution: 16.8567 bio_8_etrs2_ras contribution: 0.9176 bld_m_sd1_1km_eu_ll contribution: 0 cecsum_m_sd1_1km_eu_ll contribution: 0.0174 clyppt_m_sd1_1km_eu_ll contribution: 0.4169 crfvol_m_sd1_1km_eu_ll contribution: 1.8697 dist2water1km contribution: 65.2878 orcdrc_m_sd1_1km_eu_ll contribution: 0.1019 pet_he_yr contribution: 1.6373 phihox_m_sd1_1km_eu_ll contribution: 0 sltppt_m_sd1_1km_eu_ll contribution: 3.1799 sndppt_m_sd1_1km_eu_ll contribution: 0.4938 solar_1km contribution: 0 bio_12_etrs2_ras permutation importance: 0.0154 bio_15_etrs2_ras permutation importance: 0 bio_18_etrs2_ras permutation importance: 0 bio_4_etrs2_ras permutation importance: 30.0307 bio_8_etrs2_ras permutation importance: 15.1268 bld_m_sd1_1km_eu_ll permutation importance: 0 cecsum_m_sd1_1km_eu_ll permutation importance: 0 clyppt_m_sd1_1km_eu_ll permutation importance: 0 crfvol_m_sd1_1km_eu_ll permutation importance: 0.269 dist2water1km permutation importance: 4.8194 orcdrc_m_sd1_1km_eu_ll permutation importance: 0 pet_he_yr permutation importance: 49.7387 phihox_m_sd1_1km_eu_ll permutation importance: 0 sltppt_m_sd1_1km_eu_ll permutation importance: 0 sndppt_m_sd1_1km_eu_ll permutation importance: 0 solar_1km permutation importance: 0 Entropy: 3.3393 Prevalence (average of logistic output over background sites): 0.0025 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0012 Fixed cumulative value 1 area: 0.0504 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 5.04E-02 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0215 Fixed cumulative value 5 area: 0.0078 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 7.77E-03 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2141 Fixed cumulative value 10 area: 0.0036 Fixed cumulative value 10 training omission: 0 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 3.59E-03 Minimum training presence cumulative threshold: 13.0668 Minimum training presence logistic threshold: 0.4045 Minimum training presence area: 0.0034 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 3.39E-03 10 percentile training presence cumulative threshold: 15.4948 10 percentile training presence logistic threshold: 0.4064 10 percentile training presence area: 0.003 10 percentile training presence training omission: 0.0588 10 percentile training presence test omission: 0 10 percentile training presence binomial probability: 2.99E-03 Equal training sensitivity and specificity cumulative threshold: 13.0668 Equal training sensitivity and specificity logistic threshold: 0.4045 Equal training sensitivity and specificity area: 0.0034 Equal training sensitivity and specificity training omission: 0 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 3.39E-03 Maximum training sensitivity plus specificity cumulative threshold: 13.0668 Maximum training sensitivity plus specificity logistic threshold: 0.4045 Maximum training sensitivity plus specificity area: 0.0034 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 3.39E-03 Equal test sensitivity and specificity cumulative threshold: 32.5105 Equal test sensitivity and specificity logistic threshold: 0.586 Equal test sensitivity and specificity area: 0.0022 Equal test sensitivity and specificity training omission: 0.3529 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 2.19E-03 Maximum test sensitivity plus specificity cumulative threshold: 32.5105 Maximum test sensitivity plus specificity logistic threshold: 0.586 Maximum test sensitivity plus specificity area: 0.0022 Maximum test sensitivity plus specificity training omission: 0.3529 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 2.19E-03 Balance training omission, predicted area and threshold value cumulative threshold: 1.4391 Balance training omission, predicted area and threshold value logistic threshold: 0.0022 Balance training omission, predicted area and threshold value area: 0.0355 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 3.55E-02 Equate entropy of thresholded and original distributions cumulative threshold: 6.197 Equate entropy of thresholded and original distributions logistic threshold: 0.0376 Equate entropy of thresholded and original distributions area: 0.0056 Equate entropy of thresholded and original distributions training omission: 0 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 5.58E-03	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62021d4b-5632-4355-b801-7a03785ff7a7	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b1-5a_1940-2011_rev01	None	None
abcf7088-9c1b-4fca-89a3-2ebe05bbf3b2	None	EUNIS habitat type F6.6, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: -	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-6_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 162 Regularized training gain: 2.8667 Unregularized training gain: 3.0438 Iterations: 500 Training AUC: 0.982 #Test samples: 18 Test gain: 3.048 Test AUC: 0.9828 AUC Standard Deviation: 0.004 #Background points: 5162 bio_12_etrs2_ras contribution: 8.7275 bio_15_etrs2_ras contribution: 4.2175 bio_18_etrs2_ras contribution: 2.4728 bio_4_etrs2_ras contribution: 35.5355 bio_8_etrs2_ras contribution: 2.6417 bld_m_sd1_1km_eu_ll contribution: 5.5881 cecsum_m_sd1_1km_eu_ll contribution: 2.1144 clyppt_m_sd1_1km_eu_ll contribution: 0.0665 crfvol_m_sd1_1km_eu_ll contribution: 22.2539 dist2water1km contribution: 0.0067 orcdrc_m_sd1_1km_eu_ll contribution: 0.2616 pet_he_yr contribution: 3.5513 phihox_m_sd1_1km_eu_ll contribution: 3.9178 sltppt_m_sd1_1km_eu_ll contribution: 1.0109 sndppt_m_sd1_1km_eu_ll contribution: 0.0835 solar_1km contribution: 7.5503 bio_12_etrs2_ras permutation importance: 2.2173 bio_15_etrs2_ras permutation importance: 13.3874 bio_18_etrs2_ras permutation importance: 5.4726 bio_4_etrs2_ras permutation importance: 15.5297 bio_8_etrs2_ras permutation importance: 0.7 bld_m_sd1_1km_eu_ll permutation importance: 0.0354 cecsum_m_sd1_1km_eu_ll permutation importance: 2.5044 clyppt_m_sd1_1km_eu_ll permutation importance: 0.2545 crfvol_m_sd1_1km_eu_ll permutation importance: 30.1078 dist2water1km permutation importance: 0.1881 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.8852 pet_he_yr permutation importance: 16.9184 phihox_m_sd1_1km_eu_ll permutation importance: 5.1318 sltppt_m_sd1_1km_eu_ll permutation importance: 6.2122 sndppt_m_sd1_1km_eu_ll permutation importance: 0.1499 solar_1km permutation importance: 0.3054 Entropy: 5.6873 Prevalence (average of logistic output over background sites): 0.0269 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0086 Fixed cumulative value 1 area: 0.1548 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.60E-15 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0677 Fixed cumulative value 5 area: 0.0633 Fixed cumulative value 5 training omission: 0.0123 Fixed cumulative value 5 test omission: 0.0556 Fixed cumulative value 5 binomial probability: 7.21E-20 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2047 Fixed cumulative value 10 area: 0.043 Fixed cumulative value 10 training omission: 0.0432 Fixed cumulative value 10 test omission: 0.1111 Fixed cumulative value 10 binomial probability: 1.93E-20 Minimum training presence cumulative threshold: 4.4174 Minimum training presence logistic threshold: 0.0556 Minimum training presence area: 0.0686 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.13E-21 10 percentile training presence cumulative threshold: 16.9724 10 percentile training presence logistic threshold: 0.369 10 percentile training presence area: 0.0329 10 percentile training presence training omission: 0.0988 10 percentile training presence test omission: 0.1111 10 percentile training presence binomial probability: 2.75E-22 Equal training sensitivity and specificity cumulative threshold: 9.937 Equal training sensitivity and specificity logistic threshold: 0.1992 Equal training sensitivity and specificity area: 0.0432 Equal training sensitivity and specificity training omission: 0.0432 Equal training sensitivity and specificity test omission: 0.1111 Equal training sensitivity and specificity binomial probability: 2.07E-20 Maximum training sensitivity plus specificity cumulative threshold: 4.4174 Maximum training sensitivity plus specificity logistic threshold: 0.0556 Maximum training sensitivity plus specificity area: 0.0686 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 1.13E-21 Equal test sensitivity and specificity cumulative threshold: 6.2586 Equal test sensitivity and specificity logistic threshold: 0.0975 Equal test sensitivity and specificity area: 0.0556 Equal test sensitivity and specificity training omission: 0.0309 Equal test sensitivity and specificity test omission: 0.0556 Equal test sensitivity and specificity binomial probability: 7.91E-21 Maximum test sensitivity plus specificity cumulative threshold: 4.9631 Maximum test sensitivity plus specificity logistic threshold: 0.0671 Maximum test sensitivity plus specificity area: 0.0637 Maximum test sensitivity plus specificity training omission: 0.0123 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 3.01E-22 Balance training omission, predicted area and threshold value cumulative threshold: 2.2794 Balance training omission, predicted area and threshold value logistic threshold: 0.0223 Balance training omission, predicted area and threshold value area: 0.104 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.04E-18 Equate entropy of thresholded and original distributions cumulative threshold: 5.9729 Equate entropy of thresholded and original distributions logistic threshold: 0.0925 Equate entropy of thresholded and original distributions area: 0.0571 Equate entropy of thresholded and original distributions training omission: 0.0247 Equate entropy of thresholded and original distributions test omission: 0.0556 Equate entropy of thresholded and original distributions binomial probability: 1.26E-20	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abcf7088-9c1b-4fca-89a3-2ebe05bbf3b2	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f6-6_1940-2011_rev01	None	None
a69008a0-7013-4356-91ce-8930a805057a	None	EUNIS habitat type G1.A distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-A_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a69008a0-7013-4356-91ce-8930a805057a	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-a_1940-2011_rev01	None	None
0b9f5698-7f74-4258-869b-077f3e0a9b27	None	EUNIS habitat type G1.8 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-8_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b9f5698-7f74-4258-869b-077f3e0a9b27	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-8_1940-2011_rev01	None	None
1b6b9175-8ac9-468f-888a-1b7e19bf12a1	None	EUNIS habitat type F3.1c, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1c_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 666 Regularized training gain: 1.2802 Unregularized training gain: 1.3799 Iterations: 500 Training AUC: 0.9059 #Test samples: 73 Test gain: 1.0738 Test AUC: 0.8732 AUC Standard Deviation: 0.0124 #Background points: 5666 bio_12_etrs2_ras contribution: 0.4269 bio_15_etrs2_ras contribution: 2.9731 bio_18_etrs2_ras contribution: 2.3412 bio_4_etrs2_ras contribution: 66.1064 bio_8_etrs2_ras contribution: 1.2798 bld_m_sd1_1km_eu_ll contribution: 4.9566 cecsum_m_sd1_1km_eu_ll contribution: 0.0476 clyppt_m_sd1_1km_eu_ll contribution: 1.1946 crfvol_m_sd1_1km_eu_ll contribution: 2.1861 dist2water1km contribution: 0.0257 orcdrc_m_sd1_1km_eu_ll contribution: 0.1318 pet_he_yr contribution: 6.821 phihox_m_sd1_1km_eu_ll contribution: 9.5905 sltppt_m_sd1_1km_eu_ll contribution: 0.0545 sndppt_m_sd1_1km_eu_ll contribution: 1.6297 solar_1km contribution: 0.2346 bio_12_etrs2_ras permutation importance: 2.3055 bio_15_etrs2_ras permutation importance: 3.2361 bio_18_etrs2_ras permutation importance: 2.2278 bio_4_etrs2_ras permutation importance: 55.1138 bio_8_etrs2_ras permutation importance: 0.9665 bld_m_sd1_1km_eu_ll permutation importance: 6.9569 cecsum_m_sd1_1km_eu_ll permutation importance: 0.4431 clyppt_m_sd1_1km_eu_ll permutation importance: 1.4189 crfvol_m_sd1_1km_eu_ll permutation importance: 7.1748 dist2water1km permutation importance: 0 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.6062 pet_he_yr permutation importance: 8.9596 phihox_m_sd1_1km_eu_ll permutation importance: 7.6888 sltppt_m_sd1_1km_eu_ll permutation importance: 0.1921 sndppt_m_sd1_1km_eu_ll permutation importance: 2.6035 solar_1km permutation importance: 0.1064 Entropy: 7.3637 Prevalence (average of logistic output over background sites): 0.1358 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.04 Fixed cumulative value 1 area: 0.3789 Fixed cumulative value 1 training omission: 0.0045 Fixed cumulative value 1 test omission: 0.0274 Fixed cumulative value 1 binomial probability: 6.88E-26 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1686 Fixed cumulative value 5 area: 0.2734 Fixed cumulative value 5 training omission: 0.0255 Fixed cumulative value 5 test omission: 0.0959 Fixed cumulative value 5 binomial probability: 5.89E-34 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2755 Fixed cumulative value 10 area: 0.2238 Fixed cumulative value 10 training omission: 0.0586 Fixed cumulative value 10 test omission: 0.1233 Fixed cumulative value 10 binomial probability: 3.71E-41 Minimum training presence cumulative threshold: 0.0459 Minimum training presence logistic threshold: 0.0014 Minimum training presence area: 0.6442 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.08E-10 10 percentile training presence cumulative threshold: 15.122 10 percentile training presence logistic threshold: 0.365 10 percentile training presence area: 0.1936 10 percentile training presence training omission: 0.0991 10 percentile training presence test omission: 0.1918 10 percentile training presence binomial probability: 1.32E-40 Equal training sensitivity and specificity cumulative threshold: 22.4874 Equal training sensitivity and specificity logistic threshold: 0.4269 Equal training sensitivity and specificity area: 0.1624 Equal training sensitivity and specificity training omission: 0.1622 Equal training sensitivity and specificity test omission: 0.3425 Equal training sensitivity and specificity binomial probability: 9.15E-31 Maximum training sensitivity plus specificity cumulative threshold: 9.7059 Maximum training sensitivity plus specificity logistic threshold: 0.2681 Maximum training sensitivity plus specificity area: 0.2261 Maximum training sensitivity plus specificity training omission: 0.0526 Maximum training sensitivity plus specificity test omission: 0.1233 Maximum training sensitivity plus specificity binomial probability: 1.33E-40 Equal test sensitivity and specificity cumulative threshold: 15.4509 Equal test sensitivity and specificity logistic threshold: 0.3683 Equal test sensitivity and specificity area: 0.192 Equal test sensitivity and specificity training omission: 0.1021 Equal test sensitivity and specificity test omission: 0.1918 Equal test sensitivity and specificity binomial probability: 4.77E-41 Maximum test sensitivity plus specificity cumulative threshold: 10.7774 Maximum test sensitivity plus specificity logistic threshold: 0.2889 Maximum test sensitivity plus specificity area: 0.2183 Maximum test sensitivity plus specificity training omission: 0.0646 Maximum test sensitivity plus specificity test omission: 0.1233 Maximum test sensitivity plus specificity binomial probability: 1.58E-42 Balance training omission, predicted area and threshold value cumulative threshold: 1.6988 Balance training omission, predicted area and threshold value logistic threshold: 0.0686 Balance training omission, predicted area and threshold value area: 0.3449 Balance training omission, predicted area and threshold value training omission: 0.006 Balance training omission, predicted area and threshold value test omission: 0.0411 Balance training omission, predicted area and threshold value binomial probability: 1.26E-28 Equate entropy of thresholded and original distributions cumulative threshold: 4.6521 Equate entropy of thresholded and original distributions logistic threshold: 0.1577 Equate entropy of thresholded and original distributions area: 0.2783 Equate entropy of thresholded and original distributions training omission: 0.021 Equate entropy of thresholded and original distributions test omission: 0.0959 Equate entropy of thresholded and original distributions binomial probability: 4.13E-33	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b6b9175-8ac9-468f-888a-1b7e19bf12a1	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1c_1940-2011_rev01	None	None
ced07f32-c509-4b85-891f-f8eef4fdb6bf	None	EUNIS habitat type G3.4b distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-4b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ced07f32-c509-4b85-891f-f8eef4fdb6bf	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-4b_1940-2011_rev01	None	None
2075009c-11bd-4566-a8e6-53c2bcda9428	None	EUNIS habitat type G2.5 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-5_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2075009c-11bd-4566-a8e6-53c2bcda9428	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g2-5_1940-2011_rev01	None	None
c456eebe-180f-4c9f-afba-7b3179a72bfc	None	EUNIS habitat type F2.2a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Caucasus) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2a_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1070 Regularized training gain: 1.3458 Unregularized training gain: 1.4095 Iterations: 500 Training AUC: 0.901 #Test samples: 118 Test gain: 1.2721 Test AUC: 0.8861 AUC Standard Deviation: 0.0075 #Background points: 6070 bio_12_etrs2_ras contribution: 33.5265 bio_15_etrs2_ras contribution: 0.1903 bio_18_etrs2_ras contribution: 9.6382 bio_4_etrs2_ras contribution: 1.0636 bio_8_etrs2_ras contribution: 0.5933 bld_m_sd1_1km_eu_ll contribution: 2.8496 cecsum_m_sd1_1km_eu_ll contribution: 0.6751 clyppt_m_sd1_1km_eu_ll contribution: 1.2887 crfvol_m_sd1_1km_eu_ll contribution: 18.1061 dist2water1km contribution: 0 orcdrc_m_sd1_1km_eu_ll contribution: 11.4909 pet_he_yr contribution: 3.6068 phihox_m_sd1_1km_eu_ll contribution: 0.1302 sltppt_m_sd1_1km_eu_ll contribution: 1.8458 sndppt_m_sd1_1km_eu_ll contribution: 0.6931 solar_1km contribution: 14.3018 bio_12_etrs2_ras permutation importance: 1.0794 bio_15_etrs2_ras permutation importance: 0.6918 bio_18_etrs2_ras permutation importance: 7.8141 bio_4_etrs2_ras permutation importance: 6.4946 bio_8_etrs2_ras permutation importance: 0.9379 bld_m_sd1_1km_eu_ll permutation importance: 0.5402 cecsum_m_sd1_1km_eu_ll permutation importance: 4.6098 clyppt_m_sd1_1km_eu_ll permutation importance: 5.4915 crfvol_m_sd1_1km_eu_ll permutation importance: 56.308 dist2water1km permutation importance: 0 orcdrc_m_sd1_1km_eu_ll permutation importance: 2.8099 pet_he_yr permutation importance: 10.1387 phihox_m_sd1_1km_eu_ll permutation importance: 0.3418 sltppt_m_sd1_1km_eu_ll permutation importance: 0.5011 sndppt_m_sd1_1km_eu_ll permutation importance: 1.1682 solar_1km permutation importance: 1.0731 Entropy: 7.3657 Prevalence (average of logistic output over background sites): 0.1264 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0349 Fixed cumulative value 1 area: 0.3572 Fixed cumulative value 1 training omission: 0.0047 Fixed cumulative value 1 test omission: 0.0169 Fixed cumulative value 1 binomial probability: 5.36E-46 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1584 Fixed cumulative value 5 area: 0.2453 Fixed cumulative value 5 training omission: 0.0234 Fixed cumulative value 5 test omission: 0.0593 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2848 Fixed cumulative value 10 area: 0.199 Fixed cumulative value 10 training omission: 0.0561 Fixed cumulative value 10 test omission: 0.0932 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.1003 Minimum training presence logistic threshold: 0.002 Minimum training presence area: 0.6049 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 8.29E-19 10 percentile training presence cumulative threshold: 13.5366 10 percentile training presence logistic threshold: 0.3562 10 percentile training presence area: 0.1797 10 percentile training presence training omission: 0.1 10 percentile training presence test omission: 0.1441 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 18.1358 Equal training sensitivity and specificity logistic threshold: 0.435 Equal training sensitivity and specificity area: 0.1616 Equal training sensitivity and specificity training omission: 0.1617 Equal training sensitivity and specificity test omission: 0.2119 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.2314 Maximum training sensitivity plus specificity logistic threshold: 0.2444 Maximum training sensitivity plus specificity area: 0.2117 Maximum training sensitivity plus specificity training omission: 0.0411 Maximum training sensitivity plus specificity test omission: 0.0847 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 14.1477 Equal test sensitivity and specificity logistic threshold: 0.3691 Equal test sensitivity and specificity area: 0.1769 Equal test sensitivity and specificity training omission: 0.1075 Equal test sensitivity and specificity test omission: 0.178 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 6.807 Maximum test sensitivity plus specificity logistic threshold: 0.2098 Maximum test sensitivity plus specificity area: 0.2242 Maximum test sensitivity plus specificity training omission: 0.0299 Maximum test sensitivity plus specificity test omission: 0.0593 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.5235 Balance training omission, predicted area and threshold value logistic threshold: 0.0551 Balance training omission, predicted area and threshold value area: 0.3278 Balance training omission, predicted area and threshold value training omission: 0.0056 Balance training omission, predicted area and threshold value test omission: 0.0254 Balance training omission, predicted area and threshold value binomial probability: 6.14E-51 Equate entropy of thresholded and original distributions cumulative threshold: 4.0404 Equate entropy of thresholded and original distributions logistic threshold: 0.1289 Equate entropy of thresholded and original distributions area: 0.2603 Equate entropy of thresholded and original distributions training omission: 0.0187 Equate entropy of thresholded and original distributions test omission: 0.0508 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c456eebe-180f-4c9f-afba-7b3179a72bfc	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f2-2a_1940-2011_rev01	None	None
412b0d02-95c3-4c1f-aecc-55b268c7c8fe	None	EUNIS habitat type G1.6a distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/412b0d02-95c3-4c1f-aecc-55b268c7c8fe	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g1-6a_1940-2011_rev01	None	None
fc81c6ec-3fb4-4ad6-9707-8975ee9dc7c3	None	EUNIS habitat type G3.6 distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-6_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc81c6ec-3fb4-4ad6-9707-8975ee9dc7c3	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-6_1940-2011_rev01	None	None
bc4b2fff-b175-42ea-899c-5cf8293c523f	None	EUNIS habitat type F7-3 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-3_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc4b2fff-b175-42ea-899c-5cf8293c523f	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f7-3_1940-2011_rev01	None	None
e94efd6d-555c-4df1-bb2a-9913403fa05d	None	EUNIS habitat type F6-1a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-1a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e94efd6d-555c-4df1-bb2a-9913403fa05d	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f6-1a_1940-2011_rev01	None	None
033c6a47-a38e-4e3a-98a1-027f6f2f712a	None	EUNIS habitat type G1.6b, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-6b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 2817 Regularized training gain: 0.8222 Unregularized training gain: 0.8657 Iterations: 500 Training AUC: 0.8336 #Test samples: 312 Test gain: 0.8563 Test AUC: 0.8312 AUC Standard Deviation: 0.0072 #Background points: 12808 bio_12_etrs2_ras contribution: 8.8968 bio_15_etrs2_ras contribution: 1.1614 bio_18_etrs2_ras contribution: 7.0438 bio_4_etrs2_ras contribution: 58.7703 bio_8_etrs2_ras contribution: 0.0876 dist2water1km contribution: 0.0586 pet_he_yr contribution: 22.2968 soil_ph contribution: 0.224 solar_1km contribution: 1.4606 bio_12_etrs2_ras permutation importance: 4.9173 bio_15_etrs2_ras permutation importance: 3.0181 bio_18_etrs2_ras permutation importance: 5.8809 bio_4_etrs2_ras permutation importance: 63.4057 bio_8_etrs2_ras permutation importance: 0.201 dist2water1km permutation importance: 0.2517 pet_he_yr permutation importance: 19.9466 soil_ph permutation importance: 0.4075 solar_1km permutation importance: 1.9711 Entropy: 8.6365 Prevalence (average of logistic output over background sites): 0.2167 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0701 Fixed cumulative value 1 area: 0.4961 Fixed cumulative value 1 training omission: 0.005 Fixed cumulative value 1 test omission: 0.0032 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2601 Fixed cumulative value 5 area: 0.4086 Fixed cumulative value 5 training omission: 0.0334 Fixed cumulative value 5 test omission: 0.0417 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3472 Fixed cumulative value 10 area: 0.3586 Fixed cumulative value 10 training omission: 0.0753 Fixed cumulative value 10 test omission: 0.0737 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.1542 Minimum training presence logistic threshold: 0.0066 Minimum training presence area: 0.6498 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 9.22E-39 10 percentile training presence cumulative threshold: 12.3933 10 percentile training presence logistic threshold: 0.3705 10 percentile training presence area: 0.3397 10 percentile training presence training omission: 0.0998 10 percentile training presence test omission: 0.1058 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 27.2447 Equal training sensitivity and specificity logistic threshold: 0.4609 Equal training sensitivity and specificity area: 0.2495 Equal training sensitivity and specificity training omission: 0.2496 Equal training sensitivity and specificity test omission: 0.2532 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.1514 Maximum training sensitivity plus specificity logistic threshold: 0.3203 Maximum training sensitivity plus specificity area: 0.3748 Maximum training sensitivity plus specificity training omission: 0.0525 Maximum training sensitivity plus specificity test omission: 0.0609 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 26.5216 Equal test sensitivity and specificity logistic threshold: 0.4576 Equal test sensitivity and specificity area: 0.2532 Equal test sensitivity and specificity training omission: 0.2425 Equal test sensitivity and specificity test omission: 0.2532 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 10.8106 Maximum test sensitivity plus specificity logistic threshold: 0.3546 Maximum test sensitivity plus specificity area: 0.352 Maximum test sensitivity plus specificity training omission: 0.0827 Maximum test sensitivity plus specificity test omission: 0.0769 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 0.9322 Balance training omission, predicted area and threshold value logistic threshold: 0.0639 Balance training omission, predicted area and threshold value area: 0.5002 Balance training omission, predicted area and threshold value training omission: 0.0039 Balance training omission, predicted area and threshold value test omission: 0.0032 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 2.9505 Equate entropy of thresholded and original distributions logistic threshold: 0.1898 Equate entropy of thresholded and original distributions area: 0.4398 Equate entropy of thresholded and original distributions training omission: 0.0167 Equate entropy of thresholded and original distributions test omission: 0.016 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/033c6a47-a38e-4e3a-98a1-027f6f2f712a	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-6b_1940-2011_rev01	None	None
79ff3c28-2f7a-4b1f-9bcd-9958bd93a1d0	None	EUNIS habitat type F5.2, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-2_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 894 Regularized training gain: 1.2056 Unregularized training gain: 1.2932 Iterations: 500 Training AUC: 0.896 #Test samples: 99 Test gain: 1.2505 Test AUC: 0.8916 AUC Standard Deviation: 0.0095 #Background points: 5563 bio_12_etrs2_ras contribution: 0.7252 bio_15_etrs2_ras contribution: 7.0148 bio_18_etrs2_ras contribution: 43.1301 bio_4_etrs2_ras contribution: 2.3359 bio_8_etrs2_ras contribution: 1.0568 bld_m_sd1_1km_eu_ll contribution: 0.7121 cecsum_m_sd1_1km_eu_ll contribution: 2.3304 clyppt_m_sd1_1km_eu_ll contribution: 15.6443 crfvol_m_sd1_1km_eu_ll contribution: 0.1013 dist2water1km contribution: 1.3011 orcdrc_m_sd1_1km_eu_ll contribution: 1.0934 pet_he_yr contribution: 19.0313 sltppt_m_sd1_1km_eu_ll contribution: 5.0247 sndppt_m_sd1_1km_eu_ll contribution: 0.3943 solar_1km contribution: 0.1041 bio_12_etrs2_ras permutation importance: 2.1861 bio_15_etrs2_ras permutation importance: 12.6142 bio_18_etrs2_ras permutation importance: 18.111 bio_4_etrs2_ras permutation importance: 2.3407 bio_8_etrs2_ras permutation importance: 3.9781 bld_m_sd1_1km_eu_ll permutation importance: 8.0687 cecsum_m_sd1_1km_eu_ll permutation importance: 3.532 clyppt_m_sd1_1km_eu_ll permutation importance: 7.098 crfvol_m_sd1_1km_eu_ll permutation importance: 0.7357 dist2water1km permutation importance: 0.6488 orcdrc_m_sd1_1km_eu_ll permutation importance: 2.4227 pet_he_yr permutation importance: 29.9998 sltppt_m_sd1_1km_eu_ll permutation importance: 5.6409 sndppt_m_sd1_1km_eu_ll permutation importance: 2.0732 solar_1km permutation importance: 0.5502 Training gain without bio_12_etrs2_ras: 1.2013 Training gain without bio_15_etrs2_ras: 1.1892 Training gain without bio_18_etrs2_ras: 1.1859 Training gain without bio_4_etrs2_ras: 1.2008 Training gain without bio_8_etrs2_ras: 1.1979 Training gain without bld_m_sd1_1km_eu_ll: 1.1995 Training gain without cecsum_m_sd1_1km_eu_ll: 1.202 Training gain without clyppt_m_sd1_1km_eu_ll: 1.1984 Training gain without crfvol_m_sd1_1km_eu_ll: 1.2033 Training gain without dist2water1km: 1.2037 Training gain without orcdrc_m_sd1_1km_eu_ll: 1.1999 Training gain without pet_he_yr: 1.1832 Training gain without sltppt_m_sd1_1km_eu_ll: 1.1943 Training gain without sndppt_m_sd1_1km_eu_ll: 1.2018 Training gain without solar_1km: 1.2056 Training gain with only bio_12_etrs2_ras: 0.1618 Training gain with only bio_15_etrs2_ras: 0.5217 Training gain with only bio_18_etrs2_ras: 0.8223 Training gain with only bio_4_etrs2_ras: 0.245 Training gain with only bio_8_etrs2_ras: 0.3212 Training gain with only bld_m_sd1_1km_eu_ll: 0.5661 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.2921 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.6441 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.147 Training gain with only dist2water1km: 0.1292 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.1302 Training gain with only pet_he_yr: 0.6664 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.3591 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.2585 Training gain with only solar_1km: 0.1527 Test gain without bio_12_etrs2_ras: 1.2349 Test gain without bio_15_etrs2_ras: 1.2059 Test gain without bio_18_etrs2_ras: 1.26 Test gain without bio_4_etrs2_ras: 1.255 Test gain without bio_8_etrs2_ras: 1.2379 Test gain without bld_m_sd1_1km_eu_ll: 1.2625 Test gain without cecsum_m_sd1_1km_eu_ll: 1.2524 Test gain without clyppt_m_sd1_1km_eu_ll: 1.2543 Test gain without crfvol_m_sd1_1km_eu_ll: 1.2543 Test gain without dist2water1km: 1.2694 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.2495 Test gain without pet_he_yr: 1.1884 Test gain without sltppt_m_sd1_1km_eu_ll: 1.2264 Test gain without sndppt_m_sd1_1km_eu_ll: 1.2511 Test gain without solar_1km: 1.254 Test gain with only bio_12_etrs2_ras: 0.1303 Test gain with only bio_15_etrs2_ras: 0.4661 Test gain with only bio_18_etrs2_ras: 0.6402 Test gain with only bio_4_etrs2_ras: 0.2172 Test gain with only bio_8_etrs2_ras: 0.4028 Test gain with only bld_m_sd1_1km_eu_ll: 0.4662 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.2434 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.7091 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.2077 Test gain with only dist2water1km: 0.0871 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.0485 Test gain with only pet_he_yr: 0.7167 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.3823 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.3553 Test gain with only solar_1km: 0.1306 AUC without bio_12_etrs2_ras: 0.8895 AUC without bio_15_etrs2_ras: 0.8869 AUC without bio_18_etrs2_ras: 0.8931 AUC without bio_4_etrs2_ras: 0.8923 AUC without bio_8_etrs2_ras: 0.8896 AUC without bld_m_sd1_1km_eu_ll: 0.893 AUC without cecsum_m_sd1_1km_eu_ll: 0.8919 AUC without clyppt_m_sd1_1km_eu_ll: 0.892 AUC without crfvol_m_sd1_1km_eu_ll: 0.8913 AUC without dist2water1km: 0.8934 AUC without orcdrc_m_sd1_1km_eu_ll: 0.8913 AUC without pet_he_yr: 0.8857 AUC without sltppt_m_sd1_1km_eu_ll: 0.8887 AUC without sndppt_m_sd1_1km_eu_ll: 0.8922 AUC without solar_1km: 0.8923 AUC with only bio_12_etrs2_ras: 0.6278 AUC with only bio_15_etrs2_ras: 0.7562 AUC with only bio_18_etrs2_ras: 0.8011 AUC with only bio_4_etrs2_ras: 0.6683 AUC with only bio_8_etrs2_ras: 0.7503 AUC with only bld_m_sd1_1km_eu_ll: 0.7591 AUC with only cecsum_m_sd1_1km_eu_ll: 0.6912 AUC with only clyppt_m_sd1_1km_eu_ll: 0.8184 AUC with only crfvol_m_sd1_1km_eu_ll: 0.6774 AUC with only dist2water1km: 0.5777 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.6044 AUC with only pet_he_yr: 0.8029 AUC with only sltppt_m_sd1_1km_eu_ll: 0.7402 AUC with only sndppt_m_sd1_1km_eu_ll: 0.7368 AUC with only solar_1km: 0.6264 Entropy: 7.4257 Prevalence (average of logistic output over background sites): 0.1471 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0298 Fixed cumulative value 1 area: 0.4228 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.52E-31 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1808 Fixed cumulative value 5 area: 0.2986 Fixed cumulative value 5 training omission: 0.0201 Fixed cumulative value 5 test omission: 0.0404 Fixed cumulative value 5 binomial probability: 3.89E-47 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2718 Fixed cumulative value 10 area: 0.2468 Fixed cumulative value 10 training omission: 0.0738 Fixed cumulative value 10 test omission: 0.1111 Fixed cumulative value 10 binomial probability: 5.65E-50 Minimum training presence cumulative threshold: 1.4416 Minimum training presence logistic threshold: 0.0469 Minimum training presence area: 0.3895 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 6.50E-36 10 percentile training presence cumulative threshold: 12.6367 10 percentile training presence logistic threshold: 0.3032 10 percentile training presence area: 0.227 10 percentile training presence training omission: 0.0996 10 percentile training presence test omission: 0.1414 10 percentile training presence binomial probability: 3.66E-51 Equal training sensitivity and specificity cumulative threshold: 20.6783 Equal training sensitivity and specificity logistic threshold: 0.4018 Equal training sensitivity and specificity area: 0.1821 Equal training sensitivity and specificity training omission: 0.1823 Equal training sensitivity and specificity test omission: 0.2222 Equal training sensitivity and specificity binomial probability: 1.57E-53 Maximum training sensitivity plus specificity cumulative threshold: 8.6839 Maximum training sensitivity plus specificity logistic threshold: 0.2506 Maximum training sensitivity plus specificity area: 0.258 Maximum training sensitivity plus specificity training omission: 0.0548 Maximum training sensitivity plus specificity test omission: 0.101 Maximum training sensitivity plus specificity binomial probability: 1.92E-48 Equal test sensitivity and specificity cumulative threshold: 19.3268 Equal test sensitivity and specificity logistic threshold: 0.3858 Equal test sensitivity and specificity area: 0.1884 Equal test sensitivity and specificity training omission: 0.1667 Equal test sensitivity and specificity test omission: 0.1919 Equal test sensitivity and specificity binomial probability: 2.56E-56 Maximum test sensitivity plus specificity cumulative threshold: 3.5748 Maximum test sensitivity plus specificity logistic threshold: 0.14 Maximum test sensitivity plus specificity area: 0.3212 Maximum test sensitivity plus specificity training omission: 0.0089 Maximum test sensitivity plus specificity test omission: 0.0101 Maximum test sensitivity plus specificity binomial probability: 2.30E-46 Balance training omission, predicted area and threshold value cumulative threshold: 2.277 Balance training omission, predicted area and threshold value logistic threshold: 0.0842 Balance training omission, predicted area and threshold value area: 0.3525 Balance training omission, predicted area and threshold value training omission: 0.0022 Balance training omission, predicted area and threshold value test omission: 0.0101 Balance training omission, predicted area and threshold value binomial probability: 1.63E-40 Equate entropy of thresholded and original distributions cumulative threshold: 4.7895 Equate entropy of thresholded and original distributions logistic threshold: 0.1753 Equate entropy of thresholded and original distributions area: 0.3016 Equate entropy of thresholded and original distributions training omission: 0.0179 Equate entropy of thresholded and original distributions test omission: 0.0404 Equate entropy of thresholded and original distributions binomial probability: 1.84E-46	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/79ff3c28-2f7a-4b1f-9bcd-9958bd93a1d0	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f5-2_1940-2011_rev01	None	None
01545f45-7cf4-40c5-ba35-e4cba6b88e1c	None	EUNIS habitat type F3.1h, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1h_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 145 Regularized training gain: 1.7141 Unregularized training gain: 2.1221 Iterations: 500 Training AUC: 0.9574 #Test samples: 16 Test gain: 1.5508 Test AUC: 0.9256 AUC Standard Deviation: 0.0169 #Background points: 5145 bio_12_etrs2_ras contribution: 0.7647 bio_15_etrs2_ras contribution: 0.954 bio_18_etrs2_ras contribution: 6.175 bio_4_etrs2_ras contribution: 42.3336 bio_8_etrs2_ras contribution: 0.1205 bld_m_sd1_1km_eu_ll contribution: 1.0246 cecsum_m_sd1_1km_eu_ll contribution: 0.4204 clyppt_m_sd1_1km_eu_ll contribution: 2.7162 crfvol_m_sd1_1km_eu_ll contribution: 5.506 dist2water1km contribution: 0.0265 orcdrc_m_sd1_1km_eu_ll contribution: 1.1925 pet_he_yr contribution: 25.6775 phihox_m_sd1_1km_eu_ll contribution: 6.1546 sltppt_m_sd1_1km_eu_ll contribution: 0.6205 sndppt_m_sd1_1km_eu_ll contribution: 5.051 solar_1km contribution: 1.2624 bio_12_etrs2_ras permutation importance: 1.1384 bio_15_etrs2_ras permutation importance: 1.9366 bio_18_etrs2_ras permutation importance: 9.0721 bio_4_etrs2_ras permutation importance: 47.0905 bio_8_etrs2_ras permutation importance: 0.0504 bld_m_sd1_1km_eu_ll permutation importance: 0.4373 cecsum_m_sd1_1km_eu_ll permutation importance: 0.7225 clyppt_m_sd1_1km_eu_ll permutation importance: 2.9661 crfvol_m_sd1_1km_eu_ll permutation importance: 7.8961 dist2water1km permutation importance: 0.1674 orcdrc_m_sd1_1km_eu_ll permutation importance: 2.5233 pet_he_yr permutation importance: 20.9237 phihox_m_sd1_1km_eu_ll permutation importance: 1.2589 sltppt_m_sd1_1km_eu_ll permutation importance: 0.629 sndppt_m_sd1_1km_eu_ll permutation importance: 2.6279 solar_1km permutation importance: 0.5598 Entropy: 6.8718 Prevalence (average of logistic output over background sites): 0.0904 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0132 Fixed cumulative value 1 area: 0.4795 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 7.81E-06 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0799 Fixed cumulative value 5 area: 0.2599 Fixed cumulative value 5 training omission: 0.0069 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 4.32E-10 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1562 Fixed cumulative value 10 area: 0.1885 Fixed cumulative value 10 training omission: 0.0414 Fixed cumulative value 10 test omission: 0.0625 Fixed cumulative value 10 binomial probability: 1.78E-10 Minimum training presence cumulative threshold: 2.3434 Minimum training presence logistic threshold: 0.0294 Minimum training presence area: 0.3549 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 6.34E-08 10 percentile training presence cumulative threshold: 22.6075 10 percentile training presence logistic threshold: 0.3087 10 percentile training presence area: 0.1094 10 percentile training presence training omission: 0.0966 10 percentile training presence test omission: 0.3125 10 percentile training presence binomial probability: 6.94E-08 Equal training sensitivity and specificity cumulative threshold: 24.1214 Equal training sensitivity and specificity logistic threshold: 0.329 Equal training sensitivity and specificity area: 0.1034 Equal training sensitivity and specificity training omission: 0.1034 Equal training sensitivity and specificity test omission: 0.3125 Equal training sensitivity and specificity binomial probability: 3.84E-08 Maximum training sensitivity plus specificity cumulative threshold: 20.1201 Maximum training sensitivity plus specificity logistic threshold: 0.2859 Maximum training sensitivity plus specificity area: 0.1205 Maximum training sensitivity plus specificity training omission: 0.069 Maximum training sensitivity plus specificity test omission: 0.25 Maximum training sensitivity plus specificity binomial probability: 1.06E-08 Equal test sensitivity and specificity cumulative threshold: 16.0628 Equal test sensitivity and specificity logistic threshold: 0.2389 Equal test sensitivity and specificity area: 0.1415 Equal test sensitivity and specificity training omission: 0.0621 Equal test sensitivity and specificity test omission: 0.125 Equal test sensitivity and specificity binomial probability: 1.17E-10 Maximum test sensitivity plus specificity cumulative threshold: 14.7971 Maximum test sensitivity plus specificity logistic threshold: 0.2194 Maximum test sensitivity plus specificity area: 0.1495 Maximum test sensitivity plus specificity training omission: 0.0621 Maximum test sensitivity plus specificity test omission: 0.0625 Maximum test sensitivity plus specificity binomial probability: 5.71E-12 Balance training omission, predicted area and threshold value cumulative threshold: 4.4862 Balance training omission, predicted area and threshold value logistic threshold: 0.0696 Balance training omission, predicted area and threshold value area: 0.2719 Balance training omission, predicted area and threshold value training omission: 0.0069 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 8.93E-10 Equate entropy of thresholded and original distributions cumulative threshold: 10.1319 Equate entropy of thresholded and original distributions logistic threshold: 0.157 Equate entropy of thresholded and original distributions area: 0.1874 Equate entropy of thresholded and original distributions training omission: 0.0414 Equate entropy of thresholded and original distributions test omission: 0.0625 Equate entropy of thresholded and original distributions binomial probability: 1.62E-10	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01545f45-7cf4-40c5-ba35-e4cba6b88e1c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1h_1940-2011_rev01	None	None
7b48d009-a590-4c09-9c89-e6c1dcfbddc8	None	EUNIS habitat type G3.E distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-E_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7b48d009-a590-4c09-9c89-e6c1dcfbddc8	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-e_1940-2011_rev01	None	None
25f2e3af-7556-486a-9626-8c06b9aadfe9	None	EUNIS habitat type G1.9a, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G1-9a_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 99 Regularized training gain: 2.2481 Unregularized training gain: 2.9579 Iterations: 500 Training AUC: 0.9694 #Test samples: 11 Test gain: 1.7022 Test AUC: 0.9146 AUC Standard Deviation: 0.0308 #Background points: 9833 bio_12_etrs2_ras contribution: 8.5167 bio_15_etrs2_ras contribution: 9.189 bio_18_etrs2_ras contribution: 7.8623 bio_4_etrs2_ras contribution: 21.1121 bio_8_etrs2_ras contribution: 15.3974 dist2water1km contribution: 0.6898 pet_he_yr contribution: 25.3501 soil_ph contribution: 8.7273 solar_1km contribution: 3.1554 bio_12_etrs2_ras permutation importance: 3.9736 bio_15_etrs2_ras permutation importance: 9.7358 bio_18_etrs2_ras permutation importance: 19.4918 bio_4_etrs2_ras permutation importance: 10.5796 bio_8_etrs2_ras permutation importance: 18.263 dist2water1km permutation importance: 0 pet_he_yr permutation importance: 27.2839 soil_ph permutation importance: 6.0641 solar_1km permutation importance: 4.6082 Training gain without bio_12_etrs2_ras: 2.1807 Training gain without bio_15_etrs2_ras: 2.1887 Training gain without bio_18_etrs2_ras: 2.1442 Training gain without bio_4_etrs2_ras: 2.1211 Training gain without bio_8_etrs2_ras: 2.1565 Training gain without dist2water1km: 2.2355 Training gain without pet_he_yr: 2.0078 Training gain without soil_ph: 2.1652 Training gain without solar_1km: 2.2149 Training gain with only bio_12_etrs2_ras: 0.5069 Training gain with only bio_15_etrs2_ras: 0.33 Training gain with only bio_18_etrs2_ras: 0.2518 Training gain with only bio_4_etrs2_ras: 0.9333 Training gain with only bio_8_etrs2_ras: 0.5708 Training gain with only dist2water1km: 0.0473 Training gain with only pet_he_yr: 0.6878 Training gain with only soil_ph: 0.2248 Training gain with only solar_1km: 0.1627 Test gain without bio_12_etrs2_ras: 1.656 Test gain without bio_15_etrs2_ras: 1.4515 Test gain without bio_18_etrs2_ras: 1.6262 Test gain without bio_4_etrs2_ras: 1.7071 Test gain without bio_8_etrs2_ras: 1.6351 Test gain without dist2water1km: 1.7277 Test gain without pet_he_yr: 1.6187 Test gain without soil_ph: 1.4879 Test gain without solar_1km: 1.7511 Test gain with only bio_12_etrs2_ras: 0.5036 Test gain with only bio_15_etrs2_ras: 0.4511 Test gain with only bio_18_etrs2_ras: 0.1853 Test gain with only bio_4_etrs2_ras: 0.8653 Test gain with only bio_8_etrs2_ras: 0.3828 Test gain with only dist2water1km: 0.0987 Test gain with only pet_he_yr: 1.2185 Test gain with only soil_ph: 0.3371 Test gain with only solar_1km: 0.0119 AUC without bio_12_etrs2_ras: 0.9133 AUC without bio_15_etrs2_ras: 0.882 AUC without bio_18_etrs2_ras: 0.9099 AUC without bio_4_etrs2_ras: 0.91 AUC without bio_8_etrs2_ras: 0.9006 AUC without dist2water1km: 0.9187 AUC without pet_he_yr: 0.9131 AUC without soil_ph: 0.8801 AUC without solar_1km: 0.904 AUC with only bio_12_etrs2_ras: 0.6623 AUC with only bio_15_etrs2_ras: 0.7424 AUC with only bio_18_etrs2_ras: 0.6219 AUC with only bio_4_etrs2_ras: 0.7687 AUC with only bio_8_etrs2_ras: 0.7101 AUC with only dist2water1km: 0.6527 AUC with only pet_he_yr: 0.7435 AUC with only soil_ph: 0.7257 AUC with only solar_1km: 0.5614 Entropy: 6.9906 Prevalence (average of logistic output over background sites): 0.0525 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0065 Fixed cumulative value 1 area: 0.5736 Fixed cumulative value 1 training omission: 0.0101 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.21E-03 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0319 Fixed cumulative value 5 area: 0.2861 Fixed cumulative value 5 training omission: 0.0303 Fixed cumulative value 5 test omission: 0.0909 Fixed cumulative value 5 binomial probability: 2.99E-05 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.0693 Fixed cumulative value 10 area: 0.1762 Fixed cumulative value 10 training omission: 0.0404 Fixed cumulative value 10 test omission: 0.2727 Fixed cumulative value 10 binomial probability: 9.22E-05 Minimum training presence cumulative threshold: 0.5454 Minimum training presence logistic threshold: 0.0041 Minimum training presence area: 0.6691 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.20E-02 10 percentile training presence cumulative threshold: 20.4176 10 percentile training presence logistic threshold: 0.1663 10 percentile training presence area: 0.0824 10 percentile training presence training omission: 0.0909 10 percentile training presence test omission: 0.3636 10 percentile training presence binomial probability: 6.30E-06 Equal training sensitivity and specificity cumulative threshold: 20.3993 Equal training sensitivity and specificity logistic threshold: 0.1662 Equal training sensitivity and specificity area: 0.0825 Equal training sensitivity and specificity training omission: 0.0808 Equal training sensitivity and specificity test omission: 0.3636 Equal training sensitivity and specificity binomial probability: 6.35E-06 Maximum training sensitivity plus specificity cumulative threshold: 20.3993 Maximum training sensitivity plus specificity logistic threshold: 0.1662 Maximum training sensitivity plus specificity area: 0.0825 Maximum training sensitivity plus specificity training omission: 0.0808 Maximum training sensitivity plus specificity test omission: 0.3636 Maximum training sensitivity plus specificity binomial probability: 6.35E-06 Equal test sensitivity and specificity cumulative threshold: 8.6222 Equal test sensitivity and specificity logistic threshold: 0.0582 Equal test sensitivity and specificity area: 0.1988 Equal test sensitivity and specificity training omission: 0.0404 Equal test sensitivity and specificity test omission: 0.1818 Equal test sensitivity and specificity binomial probability: 1.80E-05 Maximum test sensitivity plus specificity cumulative threshold: 8.543 Maximum test sensitivity plus specificity logistic threshold: 0.0575 Maximum test sensitivity plus specificity area: 0.2002 Maximum test sensitivity plus specificity training omission: 0.0404 Maximum test sensitivity plus specificity test omission: 0.0909 Maximum test sensitivity plus specificity binomial probability: 9.33E-07 Balance training omission, predicted area and threshold value cumulative threshold: 4.6728 Balance training omission, predicted area and threshold value logistic threshold: 0.0295 Balance training omission, predicted area and threshold value area: 0.2976 Balance training omission, predicted area and threshold value training omission: 0.0101 Balance training omission, predicted area and threshold value test omission: 0.0909 Balance training omission, predicted area and threshold value binomial probability: 4.37E-05 Equate entropy of thresholded and original distributions cumulative threshold: 16.1275 Equate entropy of thresholded and original distributions logistic threshold: 0.1246 Equate entropy of thresholded and original distributions area: 0.1104 Equate entropy of thresholded and original distributions training omission: 0.0808 Equate entropy of thresholded and original distributions test omission: 0.2727 Equate entropy of thresholded and original distributions binomial probability: 2.68E-06	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/25f2e3af-7556-486a-9626-8c06b9aadfe9	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g1-9a_1940-2011_rev01	None	None
8674d6a8-6ee8-48ae-8ec4-fe283dbd8f61	None	EUNIS habitat type F3.1f, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1f_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 109 Regularized training gain: 2.7594 Unregularized training gain: 3.0464 Iterations: 500 Training AUC: 0.9839 #Test samples: 12 Test gain: 2.9232 Test AUC: 0.9817 AUC Standard Deviation: 0.0052 #Background points: 5076 bio_12_etrs2_ras contribution: 6.7421 bio_15_etrs2_ras contribution: 0.3781 bio_18_etrs2_ras contribution: 0.4852 bio_4_etrs2_ras contribution: 70.2836 bio_8_etrs2_ras contribution: 5.0984 bld_m_sd1_1km_eu_ll contribution: 0.2286 cecsum_m_sd1_1km_eu_ll contribution: 0.1622 clyppt_m_sd1_1km_eu_ll contribution: 1.4129 crfvol_m_sd1_1km_eu_ll contribution: 0.8514 dist2water1km contribution: 0.3029 orcdrc_m_sd1_1km_eu_ll contribution: 0.297 pet_he_yr contribution: 2.3728 sltppt_m_sd1_1km_eu_ll contribution: 4.5709 sndppt_m_sd1_1km_eu_ll contribution: 6.1524 solar_1km contribution: 0.6615 bio_12_etrs2_ras permutation importance: 11.889 bio_15_etrs2_ras permutation importance: 0.0496 bio_18_etrs2_ras permutation importance: 0.5891 bio_4_etrs2_ras permutation importance: 66.2322 bio_8_etrs2_ras permutation importance: 4.3399 bld_m_sd1_1km_eu_ll permutation importance: 0.6349 cecsum_m_sd1_1km_eu_ll permutation importance: 0.3995 clyppt_m_sd1_1km_eu_ll permutation importance: 1.8469 crfvol_m_sd1_1km_eu_ll permutation importance: 1.6238 dist2water1km permutation importance: 1.1414 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.4085 pet_he_yr permutation importance: 1.4892 sltppt_m_sd1_1km_eu_ll permutation importance: 1.3239 sndppt_m_sd1_1km_eu_ll permutation importance: 6.1719 solar_1km permutation importance: 1.8601 Training gain without bio_12_etrs2_ras: 2.7327 Training gain without bio_15_etrs2_ras: 2.7518 Training gain without bio_18_etrs2_ras: 2.7524 Training gain without bio_4_etrs2_ras: 2.5621 Training gain without bio_8_etrs2_ras: 2.7439 Training gain without bld_m_sd1_1km_eu_ll: 2.7514 Training gain without cecsum_m_sd1_1km_eu_ll: 2.7578 Training gain without clyppt_m_sd1_1km_eu_ll: 2.7225 Training gain without crfvol_m_sd1_1km_eu_ll: 2.7189 Training gain without dist2water1km: 2.7497 Training gain without orcdrc_m_sd1_1km_eu_ll: 2.7517 Training gain without pet_he_yr: 2.7448 Training gain without sltppt_m_sd1_1km_eu_ll: 2.7389 Training gain without sndppt_m_sd1_1km_eu_ll: 2.7425 Training gain without solar_1km: 2.7436 Training gain with only bio_12_etrs2_ras: 0.9786 Training gain with only bio_15_etrs2_ras: 0.9218 Training gain with only bio_18_etrs2_ras: 0.3283 Training gain with only bio_4_etrs2_ras: 2.054 Training gain with only bio_8_etrs2_ras: 1.3045 Training gain with only bld_m_sd1_1km_eu_ll: 0.4504 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.1028 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.2114 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.1734 Training gain with only dist2water1km: 0.1066 Training gain with only orcdrc_m_sd1_1km_eu_ll: 0.2888 Training gain with only pet_he_yr: 0.7941 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.649 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.4522 Training gain with only solar_1km: 0.5151 Test gain without bio_12_etrs2_ras: 2.8909 Test gain without bio_15_etrs2_ras: 2.9212 Test gain without bio_18_etrs2_ras: 2.895 Test gain without bio_4_etrs2_ras: 2.6118 Test gain without bio_8_etrs2_ras: 2.9407 Test gain without bld_m_sd1_1km_eu_ll: 2.9381 Test gain without cecsum_m_sd1_1km_eu_ll: 2.9394 Test gain without clyppt_m_sd1_1km_eu_ll: 2.8703 Test gain without crfvol_m_sd1_1km_eu_ll: 2.8898 Test gain without dist2water1km: 2.9381 Test gain without orcdrc_m_sd1_1km_eu_ll: 2.891 Test gain without pet_he_yr: 2.9474 Test gain without sltppt_m_sd1_1km_eu_ll: 2.8952 Test gain without sndppt_m_sd1_1km_eu_ll: 2.9728 Test gain without solar_1km: 2.8867 Test gain with only bio_12_etrs2_ras: 1.0421 Test gain with only bio_15_etrs2_ras: 1.3433 Test gain with only bio_18_etrs2_ras: 0.4686 Test gain with only bio_4_etrs2_ras: 2.105 Test gain with only bio_8_etrs2_ras: 1.2175 Test gain with only bld_m_sd1_1km_eu_ll: 0.6922 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.2415 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.1875 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.2069 Test gain with only dist2water1km: 0.1381 Test gain with only orcdrc_m_sd1_1km_eu_ll: 0.3656 Test gain with only pet_he_yr: 0.9902 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.6021 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.209 Test gain with only solar_1km: 0.6165 AUC without bio_12_etrs2_ras: 0.9815 AUC without bio_15_etrs2_ras: 0.9818 AUC without bio_18_etrs2_ras: 0.9816 AUC without bio_4_etrs2_ras: 0.9758 AUC without bio_8_etrs2_ras: 0.9823 AUC without bld_m_sd1_1km_eu_ll: 0.9819 AUC without cecsum_m_sd1_1km_eu_ll: 0.9824 AUC without clyppt_m_sd1_1km_eu_ll: 0.9813 AUC without crfvol_m_sd1_1km_eu_ll: 0.9813 AUC without dist2water1km: 0.9821 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9815 AUC without pet_he_yr: 0.9828 AUC without sltppt_m_sd1_1km_eu_ll: 0.9811 AUC without sndppt_m_sd1_1km_eu_ll: 0.9829 AUC without solar_1km: 0.9816 AUC with only bio_12_etrs2_ras: 0.8792 AUC with only bio_15_etrs2_ras: 0.9137 AUC with only bio_18_etrs2_ras: 0.746 AUC with only bio_4_etrs2_ras: 0.9536 AUC with only bio_8_etrs2_ras: 0.8891 AUC with only bld_m_sd1_1km_eu_ll: 0.7961 AUC with only cecsum_m_sd1_1km_eu_ll: 0.7165 AUC with only clyppt_m_sd1_1km_eu_ll: 0.6746 AUC with only crfvol_m_sd1_1km_eu_ll: 0.6783 AUC with only dist2water1km: 0.6257 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.7066 AUC with only pet_he_yr: 0.8761 AUC with only sltppt_m_sd1_1km_eu_ll: 0.7972 AUC with only sndppt_m_sd1_1km_eu_ll: 0.7012 AUC with only solar_1km: 0.7798 Entropy: 5.8029 Prevalence (average of logistic output over background sites): 0.0312 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0073 Fixed cumulative value 1 area: 0.1582 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 2.46E-10 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0922 Fixed cumulative value 5 area: 0.0845 Fixed cumulative value 5 training omission: 0.0183 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.33E-13 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1683 Fixed cumulative value 10 area: 0.0621 Fixed cumulative value 10 training omission: 0.0275 Fixed cumulative value 10 test omission: 0.0833 Fixed cumulative value 10 binomial probability: 5.95E-13 Minimum training presence cumulative threshold: 2.0814 Minimum training presence logistic threshold: 0.0284 Minimum training presence area: 0.1145 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 5.06E-12 10 percentile training presence cumulative threshold: 22.8167 10 percentile training presence logistic threshold: 0.3253 10 percentile training presence area: 0.0357 10 percentile training presence training omission: 0.0917 10 percentile training presence test omission: 0.0833 10 percentile training presence binomial probability: 1.38E-15 Equal training sensitivity and specificity cumulative threshold: 16.7177 Equal training sensitivity and specificity logistic threshold: 0.2551 Equal training sensitivity and specificity area: 0.0457 Equal training sensitivity and specificity training omission: 0.0459 Equal training sensitivity and specificity test omission: 0.0833 Equal training sensitivity and specificity binomial probability: 2.09E-14 Maximum training sensitivity plus specificity cumulative threshold: 13.9822 Maximum training sensitivity plus specificity logistic threshold: 0.2194 Maximum training sensitivity plus specificity area: 0.0514 Maximum training sensitivity plus specificity training omission: 0.0275 Maximum training sensitivity plus specificity test omission: 0.0833 Maximum training sensitivity plus specificity binomial probability: 7.59E-14 Equal test sensitivity and specificity cumulative threshold: 8.3494 Equal test sensitivity and specificity logistic threshold: 0.1498 Equal test sensitivity and specificity area: 0.0678 Equal test sensitivity and specificity training omission: 0.0183 Equal test sensitivity and specificity test omission: 0.0833 Equal test sensitivity and specificity binomial probability: 1.56E-12 Maximum test sensitivity plus specificity cumulative threshold: 8.2962 Maximum test sensitivity plus specificity logistic threshold: 0.1498 Maximum test sensitivity plus specificity area: 0.0678 Maximum test sensitivity plus specificity training omission: 0.0183 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 9.38E-15 Balance training omission, predicted area and threshold value cumulative threshold: 1.9629 Balance training omission, predicted area and threshold value logistic threshold: 0.0255 Balance training omission, predicted area and threshold value area: 0.1172 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 6.73E-12 Equate entropy of thresholded and original distributions cumulative threshold: 9.0677 Equate entropy of thresholded and original distributions logistic threshold: 0.1566 Equate entropy of thresholded and original distributions area: 0.0652 Equate entropy of thresholded and original distributions training omission: 0.0275 Equate entropy of thresholded and original distributions test omission: 0.0833 Equate entropy of thresholded and original distributions binomial probability: 1.02E-12	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8674d6a8-6ee8-48ae-8ec4-fe283dbd8f61	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1f_1940-2011_rev01	None	None
bb3c6b8c-0b04-45e3-8951-30bf0baa79cb	None	EUNIS habitat type F5.3, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Bad model, because of prediction in Ireland, England, and Hungary. The reason for for this is that this habitat type has a poor relation to climatic factors. Prediction in eastern part of Europe (Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-3_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 14 Regularized training gain: 1.9868 Unregularized training gain: 2.5895 Iterations: 280 Training AUC: 0.9786 #Test samples: 1 Test gain: 1.8976 Test AUC: 0.9577 AUC Standard Deviation: -1 #Background points: 5014 bio_12_etrs2_ras contribution: 0.7049 bio_15_etrs2_ras contribution: 13.3498 bio_18_etrs2_ras contribution: 5.0467 bio_4_etrs2_ras contribution: 27.2165 bio_8_etrs2_ras contribution: 0 bld_m_sd1_1km_eu_ll contribution: 0 cecsum_m_sd1_1km_eu_ll contribution: 0.3314 clyppt_m_sd1_1km_eu_ll contribution: 2.2254 crfvol_m_sd1_1km_eu_ll contribution: 10.1288 dist2water1km contribution: 0 orcdrc_m_sd1_1km_eu_ll contribution: 0 pet_he_yr contribution: 6.334 phihox_m_sd1_1km_eu_ll contribution: 11.8113 sltppt_m_sd1_1km_eu_ll contribution: 8.4849 sndppt_m_sd1_1km_eu_ll contribution: 11.1609 solar_1km contribution: 3.2053 bio_12_etrs2_ras permutation importance: 1.046 bio_15_etrs2_ras permutation importance: 29.1972 bio_18_etrs2_ras permutation importance: 8.6671 bio_4_etrs2_ras permutation importance: 4.9213 bio_8_etrs2_ras permutation importance: 0 bld_m_sd1_1km_eu_ll permutation importance: 0 cecsum_m_sd1_1km_eu_ll permutation importance: 0.4246 clyppt_m_sd1_1km_eu_ll permutation importance: 0 crfvol_m_sd1_1km_eu_ll permutation importance: 4.0363 dist2water1km permutation importance: 0 orcdrc_m_sd1_1km_eu_ll permutation importance: 0 pet_he_yr permutation importance: 10.8126 phihox_m_sd1_1km_eu_ll permutation importance: 0 sltppt_m_sd1_1km_eu_ll permutation importance: 11.2417 sndppt_m_sd1_1km_eu_ll permutation importance: 28.777 solar_1km permutation importance: 0.8761 Entropy: 6.5331 Prevalence (average of logistic output over background sites): 0.0659 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0135 Fixed cumulative value 1 area: 0.3408 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 3.41E-01 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0734 Fixed cumulative value 5 area: 0.1911 Fixed cumulative value 5 training omission: 0 Fixed cumulative value 5 test omission: 0 Fixed cumulative value 5 binomial probability: 1.91E-01 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1523 Fixed cumulative value 10 area: 0.1344 Fixed cumulative value 10 training omission: 0 Fixed cumulative value 10 test omission: 0 Fixed cumulative value 10 binomial probability: 1.34E-01 Minimum training presence cumulative threshold: 34.1041 Minimum training presence logistic threshold: 0.4307 Minimum training presence area: 0.0503 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 5.03E-02 10 percentile training presence cumulative threshold: 41.8924 10 percentile training presence logistic threshold: 0.5098 10 percentile training presence area: 0.0383 10 percentile training presence training omission: 0.0714 10 percentile training presence test omission: 1 10 percentile training presence binomial probability: 1.00E+00 Equal training sensitivity and specificity cumulative threshold: 34.2142 Equal training sensitivity and specificity logistic threshold: 0.4307 Equal training sensitivity and specificity area: 0.0503 Equal training sensitivity and specificity training omission: 0.0714 Equal training sensitivity and specificity test omission: 0 Equal training sensitivity and specificity binomial probability: 5.03E-02 Maximum training sensitivity plus specificity cumulative threshold: 34.1041 Maximum training sensitivity plus specificity logistic threshold: 0.4307 Maximum training sensitivity plus specificity area: 0.0503 Maximum training sensitivity plus specificity training omission: 0 Maximum training sensitivity plus specificity test omission: 0 Maximum training sensitivity plus specificity binomial probability: 5.03E-02 Equal test sensitivity and specificity cumulative threshold: 39.0248 Equal test sensitivity and specificity logistic threshold: 0.4777 Equal test sensitivity and specificity area: 0.0423 Equal test sensitivity and specificity training omission: 0.0714 Equal test sensitivity and specificity test omission: 0 Equal test sensitivity and specificity binomial probability: 4.23E-02 Maximum test sensitivity plus specificity cumulative threshold: 39.0248 Maximum test sensitivity plus specificity logistic threshold: 0.4777 Maximum test sensitivity plus specificity area: 0.0423 Maximum test sensitivity plus specificity training omission: 0.0714 Maximum test sensitivity plus specificity test omission: 0 Maximum test sensitivity plus specificity binomial probability: 4.23E-02 Balance training omission, predicted area and threshold value cumulative threshold: 3.562 Balance training omission, predicted area and threshold value logistic threshold: 0.0519 Balance training omission, predicted area and threshold value area: 0.221 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0 Balance training omission, predicted area and threshold value binomial probability: 2.21E-01 Equate entropy of thresholded and original distributions cumulative threshold: 9.6718 Equate entropy of thresholded and original distributions logistic threshold: 0.1474 Equate entropy of thresholded and original distributions area: 0.137 Equate entropy of thresholded and original distributions training omission: 0 Equate entropy of thresholded and original distributions test omission: 0 Equate entropy of thresholded and original distributions binomial probability: 1.37E-01	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb3c6b8c-0b04-45e3-8951-30bf0baa79cb	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f5-3_1940-2011_rev01	None	None
4231cf40-e1f2-44d0-a2cf-2a0a8b4d01b2	None	EUNIS habitat type G3.1c distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1c_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4231cf40-e1f2-44d0-a2cf-2a0a8b4d01b2	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-1c_1940-2011_rev01	None	None
47cf4e06-b07a-4cfe-a4ff-93b2161bfa0c	None	EUNIS habitat type B1-5b distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/B1-5b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal|coastal environment|heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/47cf4e06-b07a-4cfe-a4ff-93b2161bfa0c	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b1-5b_1940-2011_rev01	None	None
e880ed9f-ca7d-4e60-b381-50024253b2ce	None	EUNIS habitat type F3.1e, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Poor model, too much affected by the distribution of input data with a high concentration in NL and CZ. Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1e_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1665 Regularized training gain: 0.7057 Unregularized training gain: 0.7759 Iterations: 500 Training AUC: 0.8197 #Test samples: 185 Test gain: 0.7384 Test AUC: 0.8155 AUC Standard Deviation: 0.0108 #Background points: 6663 bio_12_etrs2_ras contribution: 3.2244 bio_15_etrs2_ras contribution: 0.8685 bio_18_etrs2_ras contribution: 11.9079 bio_4_etrs2_ras contribution: 56.5248 bio_8_etrs2_ras contribution: 0.9434 bld_m_sd1_1km_eu_ll contribution: 5.5983 cecsum_m_sd1_1km_eu_ll contribution: 4.2608 clyppt_m_sd1_1km_eu_ll contribution: 0.5767 crfvol_m_sd1_1km_eu_ll contribution: 0.112 dist2water1km contribution: 0.7498 orcdrc_m_sd1_1km_eu_ll contribution: 0.1846 pet_he_yr contribution: 11.7472 phihox_m_sd1_1km_eu_ll contribution: 1.965 sltppt_m_sd1_1km_eu_ll contribution: 0.2574 sndppt_m_sd1_1km_eu_ll contribution: 0.0726 solar_1km contribution: 1.0066 bio_12_etrs2_ras permutation importance: 4.3068 bio_15_etrs2_ras permutation importance: 3.5265 bio_18_etrs2_ras permutation importance: 7.3009 bio_4_etrs2_ras permutation importance: 54.8839 bio_8_etrs2_ras permutation importance: 3.4455 bld_m_sd1_1km_eu_ll permutation importance: 3.2858 cecsum_m_sd1_1km_eu_ll permutation importance: 1.8059 clyppt_m_sd1_1km_eu_ll permutation importance: 1.6408 crfvol_m_sd1_1km_eu_ll permutation importance: 0.4793 dist2water1km permutation importance: 0.6822 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.5076 pet_he_yr permutation importance: 11.8806 phihox_m_sd1_1km_eu_ll permutation importance: 4.5996 sltppt_m_sd1_1km_eu_ll permutation importance: 0.656 sndppt_m_sd1_1km_eu_ll permutation importance: 0.1469 solar_1km permutation importance: 0.8517 Entropy: 8.1011 Prevalence (average of logistic output over background sites): 0.2443 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.097 Fixed cumulative value 1 area: 0.5586 Fixed cumulative value 1 training omission: 0.003 Fixed cumulative value 1 test omission: 0.0162 Fixed cumulative value 1 binomial probability: 1.20E-31 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2449 Fixed cumulative value 5 area: 0.4668 Fixed cumulative value 5 training omission: 0.0198 Fixed cumulative value 5 test omission: 0.0378 Fixed cumulative value 5 binomial probability: 7.17E-42 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3307 Fixed cumulative value 10 area: 0.4057 Fixed cumulative value 10 training omission: 0.0637 Fixed cumulative value 10 test omission: 0.0649 Fixed cumulative value 10 binomial probability: 5.30E-49 Minimum training presence cumulative threshold: 0.1629 Minimum training presence logistic threshold: 0.0102 Minimum training presence area: 0.6689 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 5.40E-22 10 percentile training presence cumulative threshold: 13.9992 10 percentile training presence logistic threshold: 0.3789 10 percentile training presence area: 0.3698 10 percentile training presence training omission: 0.0997 10 percentile training presence test omission: 0.1027 10 percentile training presence binomial probability: 2.90E-50 Equal training sensitivity and specificity cumulative threshold: 30.0774 Equal training sensitivity and specificity logistic threshold: 0.4703 Equal training sensitivity and specificity area: 0.2649 Equal training sensitivity and specificity training omission: 0.2649 Equal training sensitivity and specificity test omission: 0.2703 Equal training sensitivity and specificity binomial probability: 7.36E-47 Maximum training sensitivity plus specificity cumulative threshold: 13.1789 Maximum training sensitivity plus specificity logistic threshold: 0.3716 Maximum training sensitivity plus specificity area: 0.3766 Maximum training sensitivity plus specificity training omission: 0.0907 Maximum training sensitivity plus specificity test omission: 0.0919 Maximum training sensitivity plus specificity binomial probability: 1.19E-50 Equal test sensitivity and specificity cumulative threshold: 29.3532 Equal test sensitivity and specificity logistic threshold: 0.468 Equal test sensitivity and specificity area: 0.2689 Equal test sensitivity and specificity training omission: 0.2589 Equal test sensitivity and specificity test omission: 0.2703 Equal test sensitivity and specificity binomial probability: 1.17E-45 Maximum test sensitivity plus specificity cumulative threshold: 13.4574 Maximum test sensitivity plus specificity logistic threshold: 0.3745 Maximum test sensitivity plus specificity area: 0.3742 Maximum test sensitivity plus specificity training omission: 0.0949 Maximum test sensitivity plus specificity test omission: 0.0919 Maximum test sensitivity plus specificity binomial probability: 3.24E-51 Balance training omission, predicted area and threshold value cumulative threshold: 1.1194 Balance training omission, predicted area and threshold value logistic threshold: 0.1061 Balance training omission, predicted area and threshold value area: 0.5534 Balance training omission, predicted area and threshold value training omission: 0.003 Balance training omission, predicted area and threshold value test omission: 0.0162 Balance training omission, predicted area and threshold value binomial probability: 2.59E-32 Equate entropy of thresholded and original distributions cumulative threshold: 3.366 Equate entropy of thresholded and original distributions logistic threshold: 0.2025 Equate entropy of thresholded and original distributions area: 0.495 Equate entropy of thresholded and original distributions training omission: 0.012 Equate entropy of thresholded and original distributions test omission: 0.0216 Equate entropy of thresholded and original distributions binomial probability: 8.43E-40	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e880ed9f-ca7d-4e60-b381-50024253b2ce	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1e_1940-2011_rev01	None	None
48c69394-8f77-4c50-8fec-0b5be1b7cbda	None	EUNIS habitat type G3.9b distribution based on vegetation plot data - version 1, Jan. 2015	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-9b_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: PLOTSOBSID (reference to the PlotObservationID in the database 'European Vegetation Data (2014 EUNIS forests).db') and PRECISION_M (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48c69394-8f77-4c50-8fec-0b5be1b7cbda	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-g3-9b_1940-2011_rev01	None	None
d816101f-bcc8-4bf1-8a46-6a1132db6bd9	None	EUNIS habitat type F9-2 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F9-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d816101f-bcc8-4bf1-8a46-6a1132db6bd9	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f9-2_1940-2011_rev01	None	None
4ca03c76-f9be-4886-9c96-38b309f6a11a	None	EUNIS habitat type G3.1b, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G3-1b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1627 Regularized training gain: 1.2946 Unregularized training gain: 1.3737 Iterations: 500 Training AUC: 0.9028 #Test samples: 180 Test gain: 1.3927 Test AUC: 0.9051 AUC Standard Deviation: 0.0058 #Background points: 11626 bio_12_etrs2_ras contribution: 14.8453 bio_15_etrs2_ras contribution: 1.027 bio_18_etrs2_ras contribution: 31.3979 bio_4_etrs2_ras contribution: 34.5811 bio_8_etrs2_ras contribution: 0.3405 dist2water1km contribution: 0.1393 pet_he_yr contribution: 15.594 soil_ph contribution: 0.0413 solar_1km contribution: 2.0337 bio_12_etrs2_ras permutation importance: 15.8003 bio_15_etrs2_ras permutation importance: 2.7581 bio_18_etrs2_ras permutation importance: 4.1195 bio_4_etrs2_ras permutation importance: 55.6989 bio_8_etrs2_ras permutation importance: 0.8212 dist2water1km permutation importance: 0.5725 pet_he_yr permutation importance: 18.211 soil_ph permutation importance: 0.1923 solar_1km permutation importance: 1.8263 Entropy: 8.0661 Prevalence (average of logistic output over background sites): 0.1329 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0387 Fixed cumulative value 1 area: 0.3896 Fixed cumulative value 1 training omission: 0.0025 Fixed cumulative value 1 test omission: 0 Fixed cumulative value 1 binomial probability: 1.40E-63 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1437 Fixed cumulative value 5 area: 0.2728 Fixed cumulative value 5 training omission: 0.016 Fixed cumulative value 5 test omission: 0.0333 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2555 Fixed cumulative value 10 area: 0.2165 Fixed cumulative value 10 training omission: 0.0645 Fixed cumulative value 10 test omission: 0.0722 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0092 Minimum training presence logistic threshold: 0.0005 Minimum training presence area: 0.8119 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 5.31E-11 10 percentile training presence cumulative threshold: 13.6057 10 percentile training presence logistic threshold: 0.3195 10 percentile training presence area: 0.1924 10 percentile training presence training omission: 0.0996 10 percentile training presence test omission: 0.0944 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 19.376 Equal training sensitivity and specificity logistic threshold: 0.4008 Equal training sensitivity and specificity area: 0.1645 Equal training sensitivity and specificity training omission: 0.1647 Equal training sensitivity and specificity test omission: 0.1278 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.312 Maximum training sensitivity plus specificity logistic threshold: 0.2172 Maximum training sensitivity plus specificity area: 0.2315 Maximum training sensitivity plus specificity training omission: 0.0412 Maximum training sensitivity plus specificity test omission: 0.0667 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 21.6878 Equal test sensitivity and specificity logistic threshold: 0.425 Equal test sensitivity and specificity area: 0.1555 Equal test sensitivity and specificity training omission: 0.1961 Equal test sensitivity and specificity test omission: 0.1556 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 17.8392 Maximum test sensitivity plus specificity logistic threshold: 0.381 Maximum test sensitivity plus specificity area: 0.171 Maximum test sensitivity plus specificity training omission: 0.1457 Maximum test sensitivity plus specificity test omission: 0.1 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.8658 Balance training omission, predicted area and threshold value logistic threshold: 0.0695 Balance training omission, predicted area and threshold value area: 0.3469 Balance training omission, predicted area and threshold value training omission: 0.0043 Balance training omission, predicted area and threshold value test omission: 0.0056 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 4.9421 Equate entropy of thresholded and original distributions logistic threshold: 0.1423 Equate entropy of thresholded and original distributions area: 0.2739 Equate entropy of thresholded and original distributions training omission: 0.016 Equate entropy of thresholded and original distributions test omission: 0.0333 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4ca03c76-f9be-4886-9c96-38b309f6a11a	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g3-1b_1940-2011_rev01	None	None
186b79ed-f69d-441f-9ace-240219fedfd1	None	EUNIS habitat type F6.8a, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F6-8a_heath_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 62 Regularized training gain: 2.5337 Unregularized training gain: 2.895 Iterations: 500 Training AUC: 0.9759 #Test samples: 6 Test gain: 1.9924 Test AUC: 0.911 AUC Standard Deviation: 0.0701 #Background points: 5043 bio_12_etrs2_ras contribution: 6.3801 bio_15_etrs2_ras contribution: 3.2556 bio_18_etrs2_ras contribution: 16.0861 bio_4_etrs2_ras contribution: 3.4085 bio_8_etrs2_ras contribution: 2.8701 bld_m_sd1_1km_eu_ll contribution: 3.8742 cecsum_m_sd1_1km_eu_ll contribution: 0.3583 clyppt_m_sd1_1km_eu_ll contribution: 9.1065 crfvol_m_sd1_1km_eu_ll contribution: 0.0369 dist2water1km contribution: 0.5444 orcdrc_m_sd1_1km_eu_ll contribution: 14.3859 pet_he_yr contribution: 39.1685 sltppt_m_sd1_1km_eu_ll contribution: 0.3013 sndppt_m_sd1_1km_eu_ll contribution: 0.2237 solar_1km contribution: 0 bio_12_etrs2_ras permutation importance: 1.4553 bio_15_etrs2_ras permutation importance: 4.6929 bio_18_etrs2_ras permutation importance: 66.9819 bio_4_etrs2_ras permutation importance: 1.021 bio_8_etrs2_ras permutation importance: 4.512 bld_m_sd1_1km_eu_ll permutation importance: 0.4252 cecsum_m_sd1_1km_eu_ll permutation importance: 1.0774 clyppt_m_sd1_1km_eu_ll permutation importance: 9.6844 crfvol_m_sd1_1km_eu_ll permutation importance: 0 dist2water1km permutation importance: 0.5658 orcdrc_m_sd1_1km_eu_ll permutation importance: 1.4233 pet_he_yr permutation importance: 1.2228 sltppt_m_sd1_1km_eu_ll permutation importance: 6.5177 sndppt_m_sd1_1km_eu_ll permutation importance: 0.4204 solar_1km permutation importance: 0 Training gain without bio_12_etrs2_ras: 2.5336 Training gain without bio_15_etrs2_ras: 2.4716 Training gain without bio_18_etrs2_ras: 2.4615 Training gain without bio_4_etrs2_ras: 2.5174 Training gain without bio_8_etrs2_ras: 2.4977 Training gain without bld_m_sd1_1km_eu_ll: 2.5259 Training gain without cecsum_m_sd1_1km_eu_ll: 2.5105 Training gain without clyppt_m_sd1_1km_eu_ll: 2.4806 Training gain without crfvol_m_sd1_1km_eu_ll: 2.5297 Training gain without dist2water1km: 2.5232 Training gain without orcdrc_m_sd1_1km_eu_ll: 2.507 Training gain without pet_he_yr: 2.531 Training gain without sltppt_m_sd1_1km_eu_ll: 2.5166 Training gain without sndppt_m_sd1_1km_eu_ll: 2.5157 Training gain without solar_1km: 2.538 Training gain with only bio_12_etrs2_ras: 1.1405 Training gain with only bio_15_etrs2_ras: 0.5535 Training gain with only bio_18_etrs2_ras: 1.5715 Training gain with only bio_4_etrs2_ras: 0.4312 Training gain with only bio_8_etrs2_ras: 0.2887 Training gain with only bld_m_sd1_1km_eu_ll: 1.6367 Training gain with only cecsum_m_sd1_1km_eu_ll: 0.267 Training gain with only clyppt_m_sd1_1km_eu_ll: 0.8249 Training gain with only crfvol_m_sd1_1km_eu_ll: 0.4017 Training gain with only dist2water1km: 0.0393 Training gain with only orcdrc_m_sd1_1km_eu_ll: 1.0898 Training gain with only pet_he_yr: 1.8273 Training gain with only sltppt_m_sd1_1km_eu_ll: 0.2561 Training gain with only sndppt_m_sd1_1km_eu_ll: 0.4928 Training gain with only solar_1km: 0.217 Test gain without bio_12_etrs2_ras: 2.0403 Test gain without bio_15_etrs2_ras: 2.1408 Test gain without bio_18_etrs2_ras: 1.9313 Test gain without bio_4_etrs2_ras: 1.8717 Test gain without bio_8_etrs2_ras: 2.0972 Test gain without bld_m_sd1_1km_eu_ll: 2.1033 Test gain without cecsum_m_sd1_1km_eu_ll: 2.0316 Test gain without clyppt_m_sd1_1km_eu_ll: 1.8957 Test gain without crfvol_m_sd1_1km_eu_ll: 1.9728 Test gain without dist2water1km: 1.9991 Test gain without orcdrc_m_sd1_1km_eu_ll: 1.9508 Test gain without pet_he_yr: 1.968 Test gain without sltppt_m_sd1_1km_eu_ll: 1.9584 Test gain without sndppt_m_sd1_1km_eu_ll: 1.9617 Test gain without solar_1km: 2.0117 Test gain with only bio_12_etrs2_ras: 1.0569 Test gain with only bio_15_etrs2_ras: 0.3347 Test gain with only bio_18_etrs2_ras: 1.4122 Test gain with only bio_4_etrs2_ras: 0.4442 Test gain with only bio_8_etrs2_ras: 0.4373 Test gain with only bld_m_sd1_1km_eu_ll: 1.0035 Test gain with only cecsum_m_sd1_1km_eu_ll: 0.4234 Test gain with only clyppt_m_sd1_1km_eu_ll: 0.8272 Test gain with only crfvol_m_sd1_1km_eu_ll: 0.0243 Test gain with only dist2water1km: 0.0249 Test gain with only orcdrc_m_sd1_1km_eu_ll: 1.2319 Test gain with only pet_he_yr: 1.5559 Test gain with only sltppt_m_sd1_1km_eu_ll: 0.2031 Test gain with only sndppt_m_sd1_1km_eu_ll: 0.177 Test gain with only solar_1km: 0.2118 AUC without bio_12_etrs2_ras: 0.912 AUC without bio_15_etrs2_ras: 0.9208 AUC without bio_18_etrs2_ras: 0.9179 AUC without bio_4_etrs2_ras: 0.9046 AUC without bio_8_etrs2_ras: 0.9215 AUC without bld_m_sd1_1km_eu_ll: 0.9142 AUC without cecsum_m_sd1_1km_eu_ll: 0.9123 AUC without clyppt_m_sd1_1km_eu_ll: 0.9131 AUC without crfvol_m_sd1_1km_eu_ll: 0.9131 AUC without dist2water1km: 0.9139 AUC without orcdrc_m_sd1_1km_eu_ll: 0.9108 AUC without pet_he_yr: 0.912 AUC without sltppt_m_sd1_1km_eu_ll: 0.9093 AUC without sndppt_m_sd1_1km_eu_ll: 0.9078 AUC without solar_1km: 0.9121 AUC with only bio_12_etrs2_ras: 0.8335 AUC with only bio_15_etrs2_ras: 0.7373 AUC with only bio_18_etrs2_ras: 0.8725 AUC with only bio_4_etrs2_ras: 0.7556 AUC with only bio_8_etrs2_ras: 0.7228 AUC with only bld_m_sd1_1km_eu_ll: 0.8745 AUC with only cecsum_m_sd1_1km_eu_ll: 0.7477 AUC with only clyppt_m_sd1_1km_eu_ll: 0.8496 AUC with only crfvol_m_sd1_1km_eu_ll: 0.6508 AUC with only dist2water1km: 0.5773 AUC with only orcdrc_m_sd1_1km_eu_ll: 0.7936 AUC with only pet_he_yr: 0.9088 AUC with only sltppt_m_sd1_1km_eu_ll: 0.6383 AUC with only sndppt_m_sd1_1km_eu_ll: 0.6382 AUC with only solar_1km: 0.6303 Entropy: 6.0229 Prevalence (average of logistic output over background sites): 0.0388 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0079 Fixed cumulative value 1 area: 0.3056 Fixed cumulative value 1 training omission: 0.0161 Fixed cumulative value 1 test omission: 0.1667 Fixed cumulative value 1 binomial probability: 1.19E-02 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0483 Fixed cumulative value 5 area: 0.1503 Fixed cumulative value 5 training omission: 0.0161 Fixed cumulative value 5 test omission: 0.1667 Fixed cumulative value 5 binomial probability: 4.03E-04 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1037 Fixed cumulative value 10 area: 0.0974 Fixed cumulative value 10 training omission: 0.0323 Fixed cumulative value 10 test omission: 0.1667 Fixed cumulative value 10 binomial probability: 4.82E-05 Minimum training presence cumulative threshold: 0.2129 Minimum training presence logistic threshold: 0.0017 Minimum training presence area: 0.4727 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 1.12E-02 10 percentile training presence cumulative threshold: 26.2915 10 percentile training presence logistic threshold: 0.2985 10 percentile training presence area: 0.0403 10 percentile training presence training omission: 0.0968 10 percentile training presence test omission: 0.1667 10 percentile training presence binomial probability: 6.13E-07 Equal training sensitivity and specificity cumulative threshold: 16.811 Equal training sensitivity and specificity logistic threshold: 0.1974 Equal training sensitivity and specificity area: 0.0644 Equal training sensitivity and specificity training omission: 0.0645 Equal training sensitivity and specificity test omission: 0.1667 Equal training sensitivity and specificity binomial probability: 6.31E-06 Maximum training sensitivity plus specificity cumulative threshold: 14.3848 Maximum training sensitivity plus specificity logistic threshold: 0.1627 Maximum training sensitivity plus specificity area: 0.0732 Maximum training sensitivity plus specificity training omission: 0.0323 Maximum training sensitivity plus specificity test omission: 0.1667 Maximum training sensitivity plus specificity binomial probability: 1.18E-05 Equal test sensitivity and specificity cumulative threshold: 4.1619 Equal test sensitivity and specificity logistic threshold: 0.0362 Equal test sensitivity and specificity area: 0.1666 Equal test sensitivity and specificity training omission: 0.0161 Equal test sensitivity and specificity test omission: 0.1667 Equal test sensitivity and specificity binomial probability: 6.62E-04 Maximum test sensitivity plus specificity cumulative threshold: 30.1379 Maximum test sensitivity plus specificity logistic threshold: 0.3359 Maximum test sensitivity plus specificity area: 0.0335 Maximum test sensitivity plus specificity training omission: 0.1613 Maximum test sensitivity plus specificity test omission: 0.1667 Maximum test sensitivity plus specificity binomial probability: 2.47E-07 Balance training omission, predicted area and threshold value cumulative threshold: 3.7219 Balance training omission, predicted area and threshold value logistic threshold: 0.0316 Balance training omission, predicted area and threshold value area: 0.1769 Balance training omission, predicted area and threshold value training omission: 0.0161 Balance training omission, predicted area and threshold value test omission: 0.1667 Balance training omission, predicted area and threshold value binomial probability: 8.86E-04 Equate entropy of thresholded and original distributions cumulative threshold: 12.6664 Equate entropy of thresholded and original distributions logistic threshold: 0.1383 Equate entropy of thresholded and original distributions area: 0.0813 Equate entropy of thresholded and original distributions training omission: 0.0323 Equate entropy of thresholded and original distributions test omission: 0.1667 Equate entropy of thresholded and original distributions binomial probability: 1.99E-05	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/186b79ed-f69d-441f-9ace-240219fedfd1	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f6-8a_1940-2011_rev01	None	None
28b7c432-36be-444b-9b76-bb7839f6202a	None	EUNIS habitat type F5-2 distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F5-2_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b7c432-36be-444b-9b76-bb7839f6202a	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f5-2_1940-2011_rev01	None	None
91ea19b6-5ece-41b5-9630-9c44897a4017	None	EUNIS habitat type F2.2b, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Prediction in eastern part of Europe (Causcasus, Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-2b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 187 Regularized training gain: 2.4348 Unregularized training gain: 2.6387 Iterations: 500 Training AUC: 0.9745 #Test samples: 20 Test gain: 1.6217 Test AUC: 0.8935 AUC Standard Deviation: 0.0524 #Background points: 5187 bio_12_etrs2_ras contribution: 12.8929 bio_15_etrs2_ras contribution: 0.3548 bio_18_etrs2_ras contribution: 2.9895 bio_4_etrs2_ras contribution: 15.818 bio_8_etrs2_ras contribution: 0.9385 bld_m_sd1_1km_eu_ll contribution: 7.0208 cecsum_m_sd1_1km_eu_ll contribution: 2.2118 clyppt_m_sd1_1km_eu_ll contribution: 0.5595 crfvol_m_sd1_1km_eu_ll contribution: 19.0389 dist2water1km contribution: 0.004 orcdrc_m_sd1_1km_eu_ll contribution: 1.3245 pet_he_yr contribution: 5.0007 phihox_m_sd1_1km_eu_ll contribution: 1.9823 sltppt_m_sd1_1km_eu_ll contribution: 0.0419 sndppt_m_sd1_1km_eu_ll contribution: 1.363 solar_1km contribution: 28.4589 bio_12_etrs2_ras permutation importance: 4.0254 bio_15_etrs2_ras permutation importance: 0.8479 bio_18_etrs2_ras permutation importance: 5.6659 bio_4_etrs2_ras permutation importance: 7.0556 bio_8_etrs2_ras permutation importance: 0.3611 bld_m_sd1_1km_eu_ll permutation importance: 0.2946 cecsum_m_sd1_1km_eu_ll permutation importance: 5.477 clyppt_m_sd1_1km_eu_ll permutation importance: 1.0235 crfvol_m_sd1_1km_eu_ll permutation importance: 47.0299 dist2water1km permutation importance: 0.1564 orcdrc_m_sd1_1km_eu_ll permutation importance: 3.6347 pet_he_yr permutation importance: 14.5072 phihox_m_sd1_1km_eu_ll permutation importance: 4.1548 sltppt_m_sd1_1km_eu_ll permutation importance: 0.8662 sndppt_m_sd1_1km_eu_ll permutation importance: 3.1646 solar_1km permutation importance: 1.735 Entropy: 6.1259 Prevalence (average of logistic output over background sites): 0.0415 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0065 Fixed cumulative value 1 area: 0.2568 Fixed cumulative value 1 training omission: 0 Fixed cumulative value 1 test omission: 0.1 Fixed cumulative value 1 binomial probability: 2.57E-09 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.0666 Fixed cumulative value 5 area: 0.1163 Fixed cumulative value 5 training omission: 0.0267 Fixed cumulative value 5 test omission: 0.15 Fixed cumulative value 5 binomial probability: 1.04E-13 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.1538 Fixed cumulative value 10 area: 0.0787 Fixed cumulative value 10 training omission: 0.0428 Fixed cumulative value 10 test omission: 0.15 Fixed cumulative value 10 binomial probability: 1.53E-16 Minimum training presence cumulative threshold: 2.44 Minimum training presence logistic threshold: 0.0276 Minimum training presence area: 0.1652 Minimum training presence training omission: 0 Minimum training presence test omission: 0.1 Minimum training presence binomial probability: 1.14E-12 10 percentile training presence cumulative threshold: 18.0174 10 percentile training presence logistic threshold: 0.2683 10 percentile training presence area: 0.0522 10 percentile training presence training omission: 0.0963 10 percentile training presence test omission: 0.2 10 percentile training presence binomial probability: 1.22E-17 Equal training sensitivity and specificity cumulative threshold: 13.7205 Equal training sensitivity and specificity logistic threshold: 0.2123 Equal training sensitivity and specificity area: 0.0642 Equal training sensitivity and specificity training omission: 0.0642 Equal training sensitivity and specificity test omission: 0.15 Equal training sensitivity and specificity binomial probability: 5.05E-18 Maximum training sensitivity plus specificity cumulative threshold: 9.4437 Maximum training sensitivity plus specificity logistic threshold: 0.1466 Maximum training sensitivity plus specificity area: 0.0814 Maximum training sensitivity plus specificity training omission: 0.0321 Maximum training sensitivity plus specificity test omission: 0.15 Maximum training sensitivity plus specificity binomial probability: 2.69E-16 Equal test sensitivity and specificity cumulative threshold: 3.0091 Equal test sensitivity and specificity logistic threshold: 0.0373 Equal test sensitivity and specificity area: 0.15 Equal test sensitivity and specificity training omission: 0.0053 Equal test sensitivity and specificity test omission: 0.15 Equal test sensitivity and specificity binomial probability: 7.10E-12 Maximum test sensitivity plus specificity cumulative threshold: 17.5345 Maximum test sensitivity plus specificity logistic threshold: 0.2592 Maximum test sensitivity plus specificity area: 0.0534 Maximum test sensitivity plus specificity training omission: 0.0963 Maximum test sensitivity plus specificity test omission: 0.15 Maximum test sensitivity plus specificity binomial probability: 2.28E-19 Balance training omission, predicted area and threshold value cumulative threshold: 2.44 Balance training omission, predicted area and threshold value logistic threshold: 0.0276 Balance training omission, predicted area and threshold value area: 0.1652 Balance training omission, predicted area and threshold value training omission: 0 Balance training omission, predicted area and threshold value test omission: 0.1 Balance training omission, predicted area and threshold value binomial probability: 1.14E-12 Equate entropy of thresholded and original distributions cumulative threshold: 8.2574 Equate entropy of thresholded and original distributions logistic threshold: 0.1254 Equate entropy of thresholded and original distributions area: 0.0881 Equate entropy of thresholded and original distributions training omission: 0.0321 Equate entropy of thresholded and original distributions test omission: 0.15 Equate entropy of thresholded and original distributions binomial probability: 1.02E-15	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/91ea19b6-5ece-41b5-9630-9c44897a4017	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f2-2b_1940-2011_rev01	None	None
7ea203b5-d801-47db-baf4-0984c0a633d5	None	EUNIS habitat type F7-4a distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F7-4a_dist_edt1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea203b5-d801-47db-baf4-0984c0a633d5	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f7-4a_1940-2011_rev01	None	None
ec9ae900-930e-40ac-bb95-a1f4a6ba2b95	None	EUNIS habitat type F3.1b, predicted habitat suitability - version 1, June 2016	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. Also note that predictions are less reliable due to data deficiency in the eastern part of Europe, and to a lesser extent to the Scandinavian countries. Geographic restriction for plot observations: n/a Remarks: Poor model, too much affected by the distribution of input data with a high concentration in NL and CZ. Prediction in eastern part of Europe (Caucasus, Turkey) uncertain due to lack of data for that area.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1b_random_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 707 Regularized training gain: 1.1447 Unregularized training gain: 1.3054 Iterations: 500 Training AUC: 0.9025 #Test samples: 78 Test gain: 1.0534 Test AUC: 0.8724 AUC Standard Deviation: 0.0133 #Background points: 5707 bio_12_etrs2_ras contribution: 0.8323 bio_15_etrs2_ras contribution: 2.4142 bio_18_etrs2_ras contribution: 16.3224 bio_4_etrs2_ras contribution: 45.0235 bio_8_etrs2_ras contribution: 4.7928 bld_m_sd1_1km_eu_ll contribution: 0.9704 cecsum_m_sd1_1km_eu_ll contribution: 3.1905 clyppt_m_sd1_1km_eu_ll contribution: 0.8803 crfvol_m_sd1_1km_eu_ll contribution: 0.4803 dist2water1km contribution: 0.4007 orcdrc_m_sd1_1km_eu_ll contribution: 0.2176 pet_he_yr contribution: 22.8131 phihox_m_sd1_1km_eu_ll contribution: 0.2595 sltppt_m_sd1_1km_eu_ll contribution: 0.2441 sndppt_m_sd1_1km_eu_ll contribution: 0.9949 solar_1km contribution: 0.1634 bio_12_etrs2_ras permutation importance: 1.4328 bio_15_etrs2_ras permutation importance: 2.0512 bio_18_etrs2_ras permutation importance: 17.2995 bio_4_etrs2_ras permutation importance: 52.9952 bio_8_etrs2_ras permutation importance: 6.0052 bld_m_sd1_1km_eu_ll permutation importance: 2.2594 cecsum_m_sd1_1km_eu_ll permutation importance: 0.9127 clyppt_m_sd1_1km_eu_ll permutation importance: 1.2822 crfvol_m_sd1_1km_eu_ll permutation importance: 1.3907 dist2water1km permutation importance: 0.2129 orcdrc_m_sd1_1km_eu_ll permutation importance: 0.9402 pet_he_yr permutation importance: 10.3805 phihox_m_sd1_1km_eu_ll permutation importance: 1.1669 sltppt_m_sd1_1km_eu_ll permutation importance: 0.4887 sndppt_m_sd1_1km_eu_ll permutation importance: 0.8649 solar_1km permutation importance: 0.3168 Entropy: 7.5112 Prevalence (average of logistic output over background sites): 0.1561 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0363 Fixed cumulative value 1 area: 0.4728 Fixed cumulative value 1 training omission: 0.0057 Fixed cumulative value 1 test omission: 0.0128 Fixed cumulative value 1 binomial probability: 4.51E-20 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1521 Fixed cumulative value 5 area: 0.3389 Fixed cumulative value 5 training omission: 0.0212 Fixed cumulative value 5 test omission: 0.0513 Fixed cumulative value 5 binomial probability: 2.67E-30 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2417 Fixed cumulative value 10 area: 0.2728 Fixed cumulative value 10 training omission: 0.0424 Fixed cumulative value 10 test omission: 0.1282 Fixed cumulative value 10 binomial probability: 7.83E-33 Minimum training presence cumulative threshold: 0.4395 Minimum training presence logistic threshold: 0.0132 Minimum training presence area: 0.5513 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 8.04E-16 10 percentile training presence cumulative threshold: 15.809 10 percentile training presence logistic threshold: 0.3193 10 percentile training presence area: 0.2245 10 percentile training presence training omission: 0.099 10 percentile training presence test omission: 0.1795 10 percentile training presence binomial probability: 8.50E-37 Equal training sensitivity and specificity cumulative threshold: 24.9782 Equal training sensitivity and specificity logistic threshold: 0.4041 Equal training sensitivity and specificity area: 0.1728 Equal training sensitivity and specificity training omission: 0.1726 Equal training sensitivity and specificity test omission: 0.2436 Equal training sensitivity and specificity binomial probability: 1.25E-42 Maximum training sensitivity plus specificity cumulative threshold: 12.3829 Maximum training sensitivity plus specificity logistic threshold: 0.2728 Maximum training sensitivity plus specificity area: 0.2506 Maximum training sensitivity plus specificity training omission: 0.0566 Maximum training sensitivity plus specificity test omission: 0.141 Maximum training sensitivity plus specificity binomial probability: 1.31E-35 Equal test sensitivity and specificity cumulative threshold: 18.8592 Equal test sensitivity and specificity logistic threshold: 0.3501 Equal test sensitivity and specificity area: 0.2052 Equal test sensitivity and specificity training omission: 0.1259 Equal test sensitivity and specificity test omission: 0.2051 Equal test sensitivity and specificity binomial probability: 2.37E-38 Maximum test sensitivity plus specificity cumulative threshold: 7.5121 Maximum test sensitivity plus specificity logistic threshold: 0.2 Maximum test sensitivity plus specificity area: 0.301 Maximum test sensitivity plus specificity training omission: 0.0297 Maximum test sensitivity plus specificity test omission: 0.0641 Maximum test sensitivity plus specificity binomial probability: 1.17E-34 Balance training omission, predicted area and threshold value cumulative threshold: 1.9854 Balance training omission, predicted area and threshold value logistic threshold: 0.0722 Balance training omission, predicted area and threshold value area: 0.4169 Balance training omission, predicted area and threshold value training omission: 0.0071 Balance training omission, predicted area and threshold value test omission: 0.0385 Balance training omission, predicted area and threshold value binomial probability: 8.62E-23 Equate entropy of thresholded and original distributions cumulative threshold: 6.1321 Equate entropy of thresholded and original distributions logistic threshold: 0.1747 Equate entropy of thresholded and original distributions area: 0.3203 Equate entropy of thresholded and original distributions training omission: 0.0255 Equate entropy of thresholded and original distributions test omission: 0.0641 Equate entropy of thresholded and original distributions binomial probability: 1.12E-31	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ec9ae900-930e-40ac-bb95-a1f4a6ba2b95	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f3-1b_1940-2011_rev01	None	None
92839b66-179c-4eeb-89e8-f96c751368f8	None	EUNIS habitat type G2.1, predicted distribution of habitat suitability - version 1, Jan. 2015	None	None	None	None	None	The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/G2-1_forest_bg_ed1.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 1147 Regularized training gain: 1.4645 Unregularized training gain: 1.5375 Iterations: 500 Training AUC: 0.9184 #Test samples: 127 Test gain: 1.3833 Test AUC: 0.9068 AUC Standard Deviation: 0.0076 #Background points: 10951 bio_12_etrs2_ras contribution: 0.2254 bio_15_etrs2_ras contribution: 7.9341 bio_18_etrs2_ras contribution: 58.7016 bio_4_etrs2_ras contribution: 7.5346 bio_8_etrs2_ras contribution: 7.2427 dist2water1km contribution: 0.1675 pet_he_yr contribution: 17.7312 soil_ph contribution: 0.4114 solar_1km contribution: 0.0516 bio_12_etrs2_ras permutation importance: 0.6544 bio_15_etrs2_ras permutation importance: 18.6682 bio_18_etrs2_ras permutation importance: 40.5422 bio_4_etrs2_ras permutation importance: 6.5935 bio_8_etrs2_ras permutation importance: 14.2185 dist2water1km permutation importance: 0.7874 pet_he_yr permutation importance: 17.1559 soil_ph permutation importance: 1.1483 solar_1km permutation importance: 0.2316 Training gain without bio_12_etrs2_ras: 1.4612 Training gain without bio_15_etrs2_ras: 1.4003 Training gain without bio_18_etrs2_ras: 1.4223 Training gain without bio_4_etrs2_ras: 1.4346 Training gain without bio_8_etrs2_ras: 1.4211 Training gain without dist2water1km: 1.4566 Training gain without pet_he_yr: 1.4023 Training gain without soil_ph: 1.4587 Training gain without solar_1km: 1.4645 Training gain with only bio_12_etrs2_ras: 0.1733 Training gain with only bio_15_etrs2_ras: 0.4351 Training gain with only bio_18_etrs2_ras: 1.1013 Training gain with only bio_4_etrs2_ras: 0.3755 Training gain with only bio_8_etrs2_ras: 0.6138 Training gain with only dist2water1km: 0.1145 Training gain with only pet_he_yr: 0.7947 Training gain with only soil_ph: 0.234 Training gain with only solar_1km: 0.0697 Test gain without bio_12_etrs2_ras: 1.3821 Test gain without bio_15_etrs2_ras: 1.3661 Test gain without bio_18_etrs2_ras: 1.3499 Test gain without bio_4_etrs2_ras: 1.3255 Test gain without bio_8_etrs2_ras: 1.385 Test gain without dist2water1km: 1.4099 Test gain without pet_he_yr: 1.3167 Test gain without soil_ph: 1.3679 Test gain without solar_1km: 1.3877 Test gain with only bio_12_etrs2_ras: 0.2158 Test gain with only bio_15_etrs2_ras: 0.4275 Test gain with only bio_18_etrs2_ras: 1.1492 Test gain with only bio_4_etrs2_ras: 0.4443 Test gain with only bio_8_etrs2_ras: 0.5644 Test gain with only dist2water1km: 0.0488 Test gain with only pet_he_yr: 0.8758 Test gain with only soil_ph: 0.2647 Test gain with only solar_1km: 0.0598 AUC without bio_12_etrs2_ras: 0.9065 AUC without bio_15_etrs2_ras: 0.9046 AUC without bio_18_etrs2_ras: 0.9025 AUC without bio_4_etrs2_ras: 0.9009 AUC without bio_8_etrs2_ras: 0.906 AUC without dist2water1km: 0.9102 AUC without pet_he_yr: 0.9 AUC without soil_ph: 0.9056 AUC without solar_1km: 0.9073 AUC with only bio_12_etrs2_ras: 0.6764 AUC with only bio_15_etrs2_ras: 0.7232 AUC with only bio_18_etrs2_ras: 0.8801 AUC with only bio_4_etrs2_ras: 0.7518 AUC with only bio_8_etrs2_ras: 0.7914 AUC with only dist2water1km: 0.5488 AUC with only pet_he_yr: 0.8469 AUC with only soil_ph: 0.6782 AUC with only solar_1km: 0.5839 Entropy: 7.8424 Prevalence (average of logistic output over background sites): 0.1122 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.015 Fixed cumulative value 1 area: 0.3882 Fixed cumulative value 1 training omission: 0.0026 Fixed cumulative value 1 test omission: 0.0079 Fixed cumulative value 1 binomial probability: 1.26E-44 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.1598 Fixed cumulative value 5 area: 0.2246 Fixed cumulative value 5 training omission: 0.0262 Fixed cumulative value 5 test omission: 0.063 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.2691 Fixed cumulative value 10 area: 0.1822 Fixed cumulative value 10 training omission: 0.0741 Fixed cumulative value 10 test omission: 0.1339 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0039 Minimum training presence logistic threshold: 0.0002 Minimum training presence area: 0.9007 Minimum training presence training omission: 0 Minimum training presence test omission: 0 Minimum training presence binomial probability: 9.16E-05 10 percentile training presence cumulative threshold: 12.5977 10 percentile training presence logistic threshold: 0.3089 10 percentile training presence area: 0.1673 10 percentile training presence training omission: 0.0994 10 percentile training presence test omission: 0.1496 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 16.4336 Equal training sensitivity and specificity logistic threshold: 0.3635 Equal training sensitivity and specificity area: 0.1498 Equal training sensitivity and specificity training omission: 0.15 Equal training sensitivity and specificity test omission: 0.1654 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 6.6058 Maximum training sensitivity plus specificity logistic threshold: 0.2036 Maximum training sensitivity plus specificity area: 0.2078 Maximum training sensitivity plus specificity training omission: 0.0349 Maximum training sensitivity plus specificity test omission: 0.0866 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 14.636 Equal test sensitivity and specificity logistic threshold: 0.3406 Equal test sensitivity and specificity area: 0.1575 Equal test sensitivity and specificity training omission: 0.1238 Equal test sensitivity and specificity test omission: 0.1575 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 5.3119 Maximum test sensitivity plus specificity logistic threshold: 0.1678 Maximum test sensitivity plus specificity area: 0.2209 Maximum test sensitivity plus specificity training omission: 0.0279 Maximum test sensitivity plus specificity test omission: 0.063 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 2.6888 Balance training omission, predicted area and threshold value logistic threshold: 0.0716 Balance training omission, predicted area and threshold value area: 0.2674 Balance training omission, predicted area and threshold value training omission: 0.007 Balance training omission, predicted area and threshold value test omission: 0.0394 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 4.414 Equate entropy of thresholded and original distributions logistic threshold: 0.1373 Equate entropy of thresholded and original distributions area: 0.2325 Equate entropy of thresholded and original distributions training omission: 0.0235 Equate entropy of thresholded and original distributions test omission: 0.0551 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92839b66-179c-4eeb-89e8-f96c751368f8	1940	2011	TRUE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-g2-1_1940-2011_rev01	None	None
e9151c34-da65-48b9-a2ca-b9b835480812	None	Potential quiet areas in Europe, based upon Quietness Suitability Index (QSI), Aug. 2016	None	None	None	None	None	Within the European Union, the Environmental Noise Directive (END, 2002/49/EC) defines quiet areas outside cities as those areas delimited by national authorities that are undisturbed by noise from traffic, industry or recreational activities. The report ‘Quiet areas in Europe: the environment unaffected by noise pollution,’ provides a first mapping assessment of potential quiet areas in Europe’s rural regions. Approximately 18% of Europe’s area can be considered quiet, but 33% is potentially affected by noise pollution, the report finds. This dataset underpins the assessment and is based on the quietness suitability index (QSI), which provides the overview with the highest (QSI=1) and lowest (QSI=0) proportion of potential quiet areas in Europe.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9151c34-da65-48b9-a2ca-b9b835480812.png	EPSG:3035	2019-06-19	None	Area management/restriction/regulation zones and reporting units	noise|noise type|vibrations	grid	FGeo	None	100m	None	Suitable distance layer from noise sources built following a fuzzy approach (*), calculating the 'membership' to the quietness range (0–1) by means of a linear relationship, considering the mean value obtained as no suitable (= 0) and maximum distance obtained as suitable (= 1). The distance values between not suitable (mean value) and suitable (maximum value) will be reassigned with a new value between 0 and 1 following a linear equation. (*) The production of threshold distance layers around noise sources has been made following a fuzzy approach rather than obtaining a buffer with sharp limits. Membership to a 0-1 range has been obtained according to a linear function. Data sources: - END: major roads, major railways and major airports noise contour maps (2012) - END: location of major roads and major railways and major airports - Urban morphological zones (UMZ) from CLC 2006 - E-PRTR register: industries' location and attributes: Europe-wide register that provides easily accessible key environmental data from industrial facilities in European Union Member States and in Iceland, Liechtenstein, Norway, Serbia and Switzerland. It replaced and improved upon the previous European Pollutant Emission Register (EPER). Access 2014. - Corine Land Cover and Land Use data 2006 (CLC) (100 × 100 m grid) - Corine Land Cover 2000 for Greece - EuroRegionalMap v. 6.0: roads, railways and airports infrastructure. (Version 6.0, 18.12.2012) - The population of each UMZ in 2000 (year of reference) was added by using the last version (v. 5) of the population density grid constructed by the European Commission research centre (Gallego, 2010). Raster data on population density using Corine Land Cover 2000 inventory. Full methodology: Good practice guide on quiet areas.Technical report No 4/2014 http://www.eea.europa.eu/publications/good-practice-guide-on-quiet-areas	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9151c34-da65-48b9-a2ca-b9b835480812	None	None	FALSE	EEA33	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_quietareas-qsi_p_2016_v01_r00	None	None
1fed8a7e-5fa3-4f47-8e16-373d64dd9ec6	None	Corine Land Cover 2006 - 2012 changes (raster 100m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1fed8a7e-5fa3-4f47-8e16-373d64dd9ec6.png	EPSG:3035	2019-06-04	None	Land cover	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1fed8a7e-5fa3-4f47-8e16-373d64dd9ec6	None	None	FALSE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clcc_2006-2012_rev18	None	None
bbf83ca0-6d2f-4a0b-b8a7-4dcdc285beab	None	Nationally designated areas (CDDA) polygons for internal use - version 17, June 2019	None	None	None	None	None	The European inventory of Nationally designated areas (CDDA) holds information about designated areas and their designation types, which directly or indirectly create protected areas. The inventory is delivered by the Eionet partnership countries as spatial and tabular information. The inventory began in 1995 under the CORINE programme of the European Commission. The CDDA is now an agreed annual Eionet core data flow maintained by the European Environment Agency (EEA) with support from the European Topic Centre on Biological Diversity (ETC/BD). The dataset is used by the EEA and e.g. the UNEP-WCMC for their main European and global assessments, products and services. The CDDA is the official source of protected area information from the 39 European countries to the World Database of Protected Areas (WDPA). The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo under UNSC Resolution 1244/99, Latvia, Liechtenstein, Lithuania, Luxembourg, North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and United Kingdom. Two versions of the dataset are provided. The full dataset ("CDDA_2019_v01_internal") includes the entire geographical coverage including nationally designated areas in overseas entities. The "CDDA_2019_v01_internal_EuropeEPSG3035" version includes only continental Europe, i.e. excludes the overseas entities. Both versions are provided in GDB and GPKG formats. NOTE: EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey. Therefore, this data set is available only for internal use of the European Environment Agency. The public version dataset is available with the title "Nationally designated areas (CDDA) polygons for public access - version 17, June 2019", which is derived from this dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bbf83ca0-6d2f-4a0b-b8a7-4dcdc285beab.png	EPSG:3035	2019-06-19	None	Protected sites	natural area|natural areas protection|protected area	vector	FGeo|Geopackage	None	1:100000	None	Production process will be explained in an update of the document CDDA_v16_2018.pdf available in the previous version of the dataset. We are waiting for ETC/BD for this task but as we are able to publish much earlier than before because of the new reporting mechanism, the ETC/BD has not planned for the time to update the report right now. In the meantime, and for reference, the document CDDA_v16_2018.pdf corresponding to the earlier version is provided together with this dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bbf83ca0-6d2f-4a0b-b8a7-4dcdc285beab	None	None	FALSE	EEA39	The dataset contains parts which are restricted by the data providers and not to be made public. EEA does not have permission to distribute some or all sites reported by Estonia, Finland, Ireland and Turkey.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_cdda-poly_i_2018-2019_v17_r00	None	None
01875b2b-b0d6-40d2-934b-e4f3dae3cb8b	None	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.3, Apr. 2019	None	None	None	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. Relevant concepts: River basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/01875b2b-b0d6-40d2-934b-e4f3dae3cb8b.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	Geopackage|SHP	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report for the full list of the national CDR data sets integrated into the European data set. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/01875b2b-b0d6-40d2-934b-e4f3dae3cb8b	None	None	FALSE	EU28|Iceland|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-wfd2016_i_2016-2019_v01_r03	None	None
d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb	None	EEA reference grid for Europe (50km), Nov. 2018	None	None	None	None	None	This dataset is an INSPIRE compatible grid of 50 km covering the whole Europe.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb.png	EPSG:3035	2019-07-22	None	Geographical grid systems	gridding	vector	Postgis|SHP	None	50km	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1ddf9d8-d6ab-4480-9f54-8e7a0f0bfbdb	None	None	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_50_km_eea-ref-grid-europe_p_2018_v01_r00	None	None
c3288c38-e33a-48f9-b1dc-1f79c3e3be3f	None	Marine Protected Areas (MPA) assessment areas - version 1, Feb. 2017	None	None	None	None	None	The spatial extent of the MPA assessment areas was defined as the marine waters surrounding the EU countries whose outer limit is defined by the 200 NM boundary from the coast (possibly coinciding with formally recognised EEZ boundaries) or the equidistance (in cases of opposite neighbouring EU countries), or by the presence of a boundary defined by an agreed treaty. Given no formal boundary of this map exists and since this limit coincides with the boundary of the maritime area (water column) submitted by EU Member States under MSFD, this dataset was based on a MSFD Region/Subregion boundary shapefile assembled in 2013 by ETC/ICM integrated with the Maritime Boundaries (version 7) from the Flanders Marine Institute (VLIZ). This dataset has been used to create the map that shows the percentage marine protected area (MPA) coverage in Europe's regional seas and also the distance to the Convention on Biological Diversity Aichi target 11.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c3288c38-e33a-48f9-b1dc-1f79c3e3be3f.png	EPSG:3035	2019-06-24	None	Area management/restriction/regulation zones and reporting units|Sea regions	Marine Strategy Framework Directive|biodiversity|ecosystem|marine biodiversity|marine ecosystem|marine environment|policy instrument|protected marine zone	vector	SHP	None	1:10000000	None	This dataset is based on the MSFD marine regions and sub-regions dataset. As indicated in the abstract, it has been defined as the marine waters surrounding the EU countries whose outer limit is defined by the 200 NM boundary from the coast (possibly coinciding with formally recognised EEZ boundaries) or the equidistance (in cases of opposite neighbouring EU countries), or by the presence of a boundary defined by an agreed treaty. Since no formal boundary of this map exists and since this limit coincides with the boundary of the maritime area (water column) submitted by EU Member States under MSFD Articles 8, 9 and 10 in the Eionet Central Data Repository (CDR) ), the decision was taken to use the MSFD Region/Subregion boundary shapefile assembled in 2013 by ETC/ICM (ETC/ICM, 2013), based on EU Member States reported data integrated with information from the Flanders Marine Institute (VLIZ) Maritime Boundaries (version 7) to delimit the MPA assessment areas	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c3288c38-e33a-48f9-b1dc-1f79c3e3be3f	None	None	FALSE	Atlantic Ocean|Baltic Sea|Black Sea|EU28|Mediterranean Sea|North Sea|Northeast Atlantic Ocean (40W)	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_mpa-assessment-areas_p_2017_v01_r00	None	None
75993663-c826-455b-bf8f-21b1254bec31	None	WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2010 - INTERNAL VERSION - version 1.3, Apr. 2019	None	None	None	None	None	The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please search for "PUBLIC VERSION" in the dataset title to access the publicly available version. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Relevant concepts: River basin district (RBD): The area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters, which is the main unit for management of river basins. River basin: The area of land from which all surface run-off flows through a sequence of streams, rivers and, possibly, lakes into the sea at a single river mouth, estuary or delta. Sub-basin: The area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in a water course (normally a lake or a river confluence). Sub-unit [Operational definition. Not in the WFD]: Reporting unit. River basin districts larger than 50000 square kilometre should be divided into comparable sub-units with an area between 5000 and 50000 square kilometre. The sub-units should be created using river basins (if more than one river basin exists in the RBD), set of contiguous river basins, or sub-basins, for example. If the RBD area is less than 50000 square kilometre, the RBD itself should be used as a sub-unit. Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters. Territorial sea: The territorial waters, or territorial sea as defined by the 1982 United Nations Convention on the Law of the Sea, extend up to a limit not exceeding 12 nautical miles (22.2 km), measured from the baseline. The normal baseline is the low-water line along the coast. Territorial waters [Operational definition. Not in WFD.]: Reporting unit. The zone between the limit of the coastal water bodies and the limit of the territorial sea, geometrically subdivided in Thiessen polygons according to the adjacent coastal sub-unit (or using any alternative delineation provided by the national competent authorities), and assigned to an adjacent sub-unit for the purpose of reporting the chemical status of the territorial waters under the Water Framework Directive. Groundwater body: 'Body of groundwater' means a distinct volume of groundwater within an aquifer or aquifers. Groundwater: All water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil. Aquifer: Subsurface layer or layers of rock or other geological strata of sufficient porosity and permeability to allow either a significant flow of groundwater or the abstraction of significant quantities of groundwater. Monitoring site: [Operational definition. Not in the WFD] Monitoring point included in a WFD surveillance, operational or investigative monitoring programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/75993663-c826-455b-bf8f-21b1254bec31.png	EPSG:4326	2019-06-04	None	Area management/restriction/regulation zones and reporting units|Environmental monitoring facilities|River Basin|Surface Water|WFD Coastal Water|WFD Ground Water Body|WFD Lake|WFD River|WFD Surface Water Body|WFD Transitional Water	aquifer|groundwater|monitoring station|river basin|river basin management|surface water|water (geographic)|water body|water resources management	vector	Geopackage|SHP	None	1:250000	None	1) Data model The data set follows the WISE spatial data model described in the WISE GIS guidance, available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/GISGuidance/WISE_GISGuidance.pdf The formal specification is available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/UML/GML_Schemas_6.0.6.zip The shapefile templates are available at http://cdr.eionet.europa.eu/help/WFD/WFD_521_2016/Shapes/Shapefiles_6.0.6.zip Refer to the WISE GIS guidance for the mapping between the GML elements in the XML schema and the corresponding fields in Shapefile format. Refer to the Technical Report which accompanies the data set for information on the additional fields present in the shapefiles: cYear, country, lat, lon, statusCode, statusDate, remarks and qcCheck. 2) Data sources Information on river basin districts and sub-units was submitted under the "Water Framework Directive - River Basin Districts and Competent Authorities" [Article 3] reporting obligation (http://rod.eionet.europa.eu/obligations/525). Data originally delivered in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States plus Norway, reported between 2007-03-11 and 2012-06-22 (including resubmissions and updates). Information on surface water bodies (rivers, lakes, transitional and coastal water bodies - including artificial and heavily modified water bodies), groundwater bodies and protected areas was reported under the "Water Framework Directive - Characterisation of River Basin Districts" [Article 5] reporting obligation (http://rod.eionet.europa.eu/obligations/136). Data originally delivery in 2004 and 2005 was moved to the Central Data Repository (http://cdr.eionet.europa.eu/), which contains information from the EU-28 Member States (except Croatia, Greece, Malta and Romania), plus Norway, reported between 2005-01-26 and 2011-09-26 (including resubmissions and updates). Information on monitoring sites was reported under the "Water Framework Directive - Monitoring Programmes" [Article 8] reporting obligation (http://rod.eionet.europa.eu/obligations/520). The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States (except Croatia and Malta) reported between 2007-03-16 and 2012-03-21 (including resubmissions and updates). For some countries or river basin districts, updates to the spatial data were submitted under "Water Framework Directive - River Basin Management Plans - 2010 Reporting" [Article 13] reporting obligation (http://rod.eionet.europa.eu/obligations/521). The reporting of the 1st River Basin Management Plans was first due in 2010-03-23. The Central Data Repository (http://cdr.eionet.europa.eu/) contains information from the EU-28 Member States plus Norway, reported between 2009-09-14 and 2016-03-17 (including resubmissions and updates). The data sources above will hereafter be referred to as WFD2010. For the 2nd River Basin Management Plans, spatial data was reported under the "Water Framework Directive - River Basin Management Plans - 2016 Spatial data" (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/717 for further information on the reporting. Refer to the Technical Report for the full list of the national CDR data sets integrated into the European data set. 3) Data processing The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. Identical objects have wiseEvolutionType in ('noChange','changeCode','change'). For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Objects that no longer exist in 2016 have wiseEvolutionType = 'deletion'. Refer to the Technical Report which accompanies the data set for further information. 4) Data quality THIS DATASET DOES NOT FULLY COMPLY WITH THE WISE SPATIAL DATA MODEL SPECIFICATION. The reason for non-compliance is that not all the information required by the WISE spatial data model was requested in the WFD2010 reporting. Where available, the missing information was compiled from the WFD2010 non-spatial reporting or from the WFD2016 reporting. All objects reported in the WFD2010 non-spatial data files are included in the current dataset. The geometry of the objects was obtained from the spatial data files, where available. A conventional geometry was included for the objects for which only the location of the representative point was available. Note that: - The WFD2010 reporting requested only the location of a representative point (for example, a centroid) for some objects, e.g. for water bodies. For example, the WFD2010 spatial data files include the geometry of large water bodies, but normally do not include smaller water bodies. - The WFD2010 spatial data files sometimes include the geometry of objects that were not later reported as water bodies (i.e. as units of management for the 1st RBMP). Spatial objects without equivalence in the non-spatial reporting were excluded from the current dataset. - The WFD2010 spatial data files were reported as shapefiles and were not subject to automated quality control upon delivery, automated harvest, or version-control management. Partial updates (per dataset and per river basin district) where submitted until 2016-03-17. Traceability from a spatial object in the dataset to a specific data element and data file in a Central Data Repository delivery is not possible. Specific issues or inconsistencies were clarified with the support of the WFD2016 national reporting contacts. No geometric or topological error correction was performed. Basic automated editing of string values (upper-casing, trimming, removal of invalid characters or values) was performed. The compliance of the identifiers of the spatial objects with the requirements of the WFD2016 was verified. Thematic identifiers must start with the ISO 3166-1 alpha-2 country code, except for Greece ('EL') and the United Kingdom ('UK'). Thematic identifiers must comply with the following Regex pattern: ^[A-Z]{2}[0-9A-Z]{1}([0-9A-Z_-]{0,38}[0-9A-Z]{1}){0,1}$ A valid identifier was proposed for each invalid identifier. The changes can be traced via the WISE registers.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/75993663-c826-455b-bf8f-21b1254bec31	2010	2019	TRUE	EU28|Iceland|Norway	The dataset contains parts which are restricted by the data providers and not to be made public. For further information and specification regarding the use limitations and constraints please consult the file WISE_WFD_ReferenceSpatialDataSets_2019-04-15.pdf which is provided together with the data.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_250_k_wise-wfd2010_i_2010-2019_v01_r03	None	None
aea65d71-ec1e-4951-bfbd-329a9b85ef6c	None	Corine Land Cover 2006 (vector) - version 18, Sep. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aea65d71-ec1e-4951-bfbd-329a9b85ef6c.png	EPSG:3035	2019-06-04	None	Land cover	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aea65d71-ec1e-4951-bfbd-329a9b85ef6c	2005	2007	TRUE	EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clc_2005-2007_rev18	None	None
156377d3-14ee-42f9-855e-71d8c710d441	None	EUNIS heathland, scrub and tundra habitat type, predicted distribution of habitat suitability - version 1, May 2019	None	None	None	None	None	The modelled suitability for EUNIS heathland, scrub and tundra habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitabilty modelling not only Climate and Soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables like Landuse, Vegetation height, Phenology, and LAI (Leave Area Index). Because the EBV's are restricted by the extent of the Remote Sensing data (EEA39 countries) the modelling result does also not go beyond this boudary.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png	None	2019-06-04	None	Habitats and biotopes	habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra	grid	FGeo	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). For more information on the RS-EBV's see the document "Description of European RS-EBV’sand abiotic site conditions" provided with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/156377d3-14ee-42f9-855e-71d8c710d441	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-s_p_1940-2017_v01_r00	None	None
4c333e91-a5f9-439a-9a97-4d0a67673609	None	EUNIS heathland, scrub and tundra habitat types, distribution based on vegetation plot data - version 1, MM. 2019 [VECTOR]	None	None	None	None	None	The verified heathland, scrub and tundra habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F2-1_dist_edt1.png	None	2019-06-04	None	Habitats and biotopes	habitat|heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c333e91-a5f9-439a-9a97-4d0a67673609	None	None	FALSE	Albania|Austria|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|EEA39|Estonia|Finland|France|Germany|Greece|Hungary|Iceland|Ireland|Kosovo|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Turkey|Ukraine|United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-s_p_1940-2017_v01_r00	None	None
1b43939a-cb20-4eb8-b6e7-b454971ed933	None	EUNIS forest and other wooded land habitat types, distribution based on vegetation plot data - version 1, May 2019	None	None	None	None	None	The verified forest and other wooded land habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1b43939a-cb20-4eb8-b6e7-b454971ed933.png	None	2019-06-04	None	Habitats and biotopes	forest|habitat|natural area|terrestrial ecosystem	vector	FGeo	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by WEnR and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated). More information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1b43939a-cb20-4eb8-b6e7-b454971ed933	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-t_p_1940-2017_v01_r00	None	None
169b69b5-a1f8-4aed-8042-bfcb4c1e4948	None	EUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability - version 1, May 2019	None	None	None	None	None	The modelled suitability for EUNIS forest and other wooded land habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitability modelling not only climate and soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables, like land use, vegetation height, phenology, and LAI (Leaf Area Index). Because the EBV's are restricted by the extent of the remote sensing data (EEA39 countries) the modelling result does also not go beyond this boundary.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png	None	2019-06-04	None	Habitats and biotopes	forest|habitat|modelling|natural area|terrestrial ecosystem	grid	FGeo	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). For more information on the RS-EBV's see the document "Description of European RS-EBV’sand abiotic site conditions" provided with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/169b69b5-a1f8-4aed-8042-bfcb4c1e4948	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-t_p_1940-2017_v01_r00	None	None
2aee4bd1-c509-4b0c-94a1-f0ed57763ccb	None	EUNIS grassland and lands dominated by forbs, mosses or lichens habitat types, distribution based on vegetation plot data - version 1, May 2019	None	None	None	None	None	The verified grasslands and lands dominated by forbs, mosses or lichens habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2aee4bd1-c509-4b0c-94a1-f0ed57763ccb.png	None	2019-06-04	None	Habitats and biotopes	grassland|habitat|lichen|moss|natural area|terrestrial ecosystem	vector	FGeo	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated). More information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2aee4bd1-c509-4b0c-94a1-f0ed57763ccb	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-r_p_1940-2017_v01_r00	None	None
70fbb9d1-b61b-4bdc-973b-fec4d8835ccd	None	EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, predicted distribution of habitat suitability - version 1, May 2019	None	None	None	None	None	The modelled suitability for the EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type. As predictors for the suitabilty modelling not only Climate and Soil parameters have been taken into account, but also so-called RS-EVB's, Remote Sensing-enabled Essential Biodiversity Variables like Landuse, Vegetation height, Phenology, and LAI (Leave Area Index). Because the EBV's are restricted by the extent of the Remote Sensing data (EEA39 countries) the modelling result does also not go beyond this boudary.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png	None	2019-06-04	None	Habitats and biotopes	grassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem	grid	FGeo	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea) and the RS-EBV's (Remote Sensing-enabled Essential Biodiversity Variables) Inundation; occurrence, Phenology; End of Season (day number), Phenology; Length of season (days), Phenology; Low of season (day number), Phenology; NDVI mean, Phenology; NDVI seasonality, Phenology; Peak of season (day number), Phenology; Start of Season (day number), Vegetation height (m). For more information on the RS-EBV's see the document "Description of European RS-EBV’sand abiotic site conditions" provided with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/70fbb9d1-b61b-4bdc-973b-fec4d8835ccd	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-r_p_1940-2017_v01_r00	None	None
1f8814c7-eb8b-4674-9955-1ebf485cfc57	None	EUNIS heathland, scrub and tundra habitat types, distribution based on vegetation plot data - version 1, May 2019	None	None	None	None	None	The verified heathland, scrub and tundra habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database. The geographic extent of the distribution data are all European countries except Armenia and Azerbaijan.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1f8814c7-eb8b-4674-9955-1ebf485cfc57.png	None	2019-06-04	None	Habitats and biotopes	habitat|heathland|natural area|terrestrial ecosystem|tundra	vector	FGeo	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated). More information can be found in the Braun-Blanquet project website: http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1f8814c7-eb8b-4674-9955-1ebf485cfc57	1940	2017	TRUE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-s_p_1940-2017_v01_r00	None	None
99421829-bc64-4c0f-bda8-b04c827ef447	None	Conservation status of species 2007-2012 for public access aggregated at EU-27 level, Sep. 2014	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. This version does not include species flagged as sensitive by Member States. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.	https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/99421829-bc64-4c0f-bda8-b04c827ef447.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Species distribution	EC directive|European Union|habitat|nature conservation|nature conservation policy|species	vector	SHP	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_EU27 took place.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99421829-bc64-4c0f-bda8-b04c827ef447	None	None	FALSE	EU27	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-species-public-agg-eu27_2007-2012	None	None
a1be022f-c4be-4a0f-bbc0-f83811a2798df	None	EEA reference grid for Lithuania (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a1be022f-c4be-4a0f-bbc0-f83811a2798df.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a1be022f-c4be-4a0f-bbc0-f83811a2798df	None	None	FALSE	Lithuania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-lt_2013	None	None
a25da98d-0df0-420a-bc27-1c486376c72bf	None	EEA reference grid for Belgium (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a25da98d-0df0-420a-bc27-1c486376c72bf.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a25da98d-0df0-420a-bc27-1c486376c72bf	None	None	FALSE	Belgium	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-be_2013	None	None
c2619c28-9a17-4377-bfa6-5ef998f9eacaf	None	EEA reference grid for Czech Republic (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c2619c28-9a17-4377-bfa6-5ef998f9eacaf.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c2619c28-9a17-4377-bfa6-5ef998f9eacaf	None	None	FALSE	Czechia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-cz_2013	None	None
4049bf5d-134c-4d02-b33a-54d7058cd67bf	None	EEA reference grid for Denmark (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4049bf5d-134c-4d02-b33a-54d7058cd67bf.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4049bf5d-134c-4d02-b33a-54d7058cd67bf	None	None	FALSE	Denmark	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-dk_2013	None	None
0c1533ab-2766-4317-a023-b00925f340c8f	None	EEA reference grid for Latvia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0c1533ab-2766-4317-a023-b00925f340c8f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0c1533ab-2766-4317-a023-b00925f340c8f	None	None	FALSE	Latvia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-lv_2013	None	None
f9447505-c78c-4abe-9f8a-9e8fc78175c1f	None	EEA reference grid for Hungary (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f9447505-c78c-4abe-9f8a-9e8fc78175c1f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f9447505-c78c-4abe-9f8a-9e8fc78175c1f	None	None	FALSE	Hungary	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-hu_2013	None	None
20662887-fe38-4e2f-a37e-896141ddeb15f	None	EEA reference grid for Portugal (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20662887-fe38-4e2f-a37e-896141ddeb15f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20662887-fe38-4e2f-a37e-896141ddeb15f	2013	2013	FALSE	Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pt_2013	None	None
10ade0f6-5cf8-4bf8-8db8-313081857af3f	None	EEA reference grid for Sweden (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/10ade0f6-5cf8-4bf8-8db8-313081857af3f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10ade0f6-5cf8-4bf8-8db8-313081857af3f	2013	2013	FALSE	Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-se_2013	None	None
e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff	None	EEA reference grid for Germany (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e8d89987-d6e5-43f0-b8c4-ced7ace7c0dff	2013	2013	FALSE	Germany	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-de_2013	None	None
98bd2c15-1a6d-4717-9850-01e3a44fe60ef	None	EEA reference grid for Montenegro (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98bd2c15-1a6d-4717-9850-01e3a44fe60ef.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98bd2c15-1a6d-4717-9850-01e3a44fe60ef	2013	2013	FALSE	Montenegro	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-me_2013	None	None
74d822c2-db74-4438-8610-5a2e0426adb8f	None	EEA reference grid for Netherlands (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74d822c2-db74-4438-8610-5a2e0426adb8f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74d822c2-db74-4438-8610-5a2e0426adb8f	2013	2013	FALSE	Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-nl_2013	None	None
d86223b0-8672-4abc-816b-1a2e2d0b5aa5	None	GISCO - Communes 2013, Dec. 2015	None	None	None	None	None	This dataset shows pan-European administrative boundaries down to commune level version 2013. Communes are equivalent to Local Administrative Units, level 2 (LAU2), LAU2 for Greece (EL) are subject to confirmation. The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU 1, 2, respectively, moving from larger to smaller territorial units). The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the non-EU countries. The LAU classification is not covered by any legislative act. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview. The data set is based on EuroBoundaryMap v. 8.x from Eurogeographics. Geographical extent covers the EU28, EFTA countries, and candidate countries. The scale of the data set is 1:100 000. This metadata only refers to the 1:100k version of this dataset and shall only be used internally by the EEA following the conditions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (COMM_2013.xml) is provided together with the dataset. A generalised version of this dataset at 1:1Mio is available for download on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/communes#communes13. Note the generalised version should be used for cartographic purposes.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d86223b0-8672-4abc-816b-1a2e2d0b5aa5.png	EPSG:4258	2019-06-04	None	Administrative units	administrative boundary	vector	FGeo	None	1:1000000	None	The dataset is based on the geometry from EuroBoundary Map v8.x (source EuroGeographics). This dataset was integrated in a common repository of geometry (including country and EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_201, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. Each scale level in the COMM_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each Commune in the region feature class there is exactly 1 label.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d86223b0-8672-4abc-816b-1a2e2d0b5aa5	2013	2013	FALSE	EFTA4|EU28|Kosovo|Moldova|North Macedonia|Serbia	The Commission, its Executive Agencies and European Environmental Agency may use the dataset under usage restrictions stated in the document "GISCO-LicenseconditionsforEGdatasets.pdf" provided with the dataset. Contractors of the Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu . Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_100_k_gisco-communes_2013	None	None
ac3b8096-757f-42fc-a0c8-d7953e7e3f48f	None	EEA reference grid for United Kingdom (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac3b8096-757f-42fc-a0c8-d7953e7e3f48f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac3b8096-757f-42fc-a0c8-d7953e7e3f48f	2013	2013	FALSE	United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-gb_2013	None	None
e902b716-5c5f-4baf-a48b-a74c8e6d2467f	None	EEA reference grid for Greece (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e902b716-5c5f-4baf-a48b-a74c8e6d2467f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e902b716-5c5f-4baf-a48b-a74c8e6d2467f	2013	2013	FALSE	Greece	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-gr_2013	None	None
9faab055-6e5d-484b-8831-1193503e7f2df	None	EEA reference grid for Belgium (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9faab055-6e5d-484b-8831-1193503e7f2df.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9faab055-6e5d-484b-8831-1193503e7f2df	2013	2013	FALSE	Belgium	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-be_2013	None	None
0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f	None	EEA reference grid for Estonia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0e97fc9e-9a3f-4e3e-80a2-92cc49fd4cc0f	2013	2013	FALSE	Estonia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ee_2013	None	None
a373b065-66d8-45ae-86af-6618cc6792cb	None	EEA reference grid for Europe (100km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a373b065-66d8-45ae-86af-6618cc6792cb.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a373b065-66d8-45ae-86af-6618cc6792cb	2011	2011	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-europe_2011	None	None
8f086da7-e077-4dab-952b-0d12b00e326ef	None	EEA reference grid for Serbia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f086da7-e077-4dab-952b-0d12b00e326ef.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f086da7-e077-4dab-952b-0d12b00e326ef	2013	2013	FALSE	Serbia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-rs_2013	None	None
aa9b407c-992f-4107-be3e-b7d14b57d6d9	None	GISCO - Administrative units 2016 at country level, May 2018	None	None	None	None	None	This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. This metadata only refers to the full dataset (polygon) at 100k (CNTR_RG_100K_2016 in the GISCO database) and shall only be used internally by the EEA. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (CNTR_2016.xml) is provided together with the dataset. The public dataset is available for download on http://ec.europa.eu/eurostat/cache/GISCO/distribution/v2/countries/countries-2016-files.html	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa9b407c-992f-4107-be3e-b7d14b57d6d9.png	EPSG:4258	2019-06-04	None	Administrative units	administrative boundary	vector	Spatialite	None	1:100000	None	The dataset is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2016, NUTS_2016, CNTR_2016, EEZ_2016 and COAS_2016, are fully coherent and compliant. Each scale level in the CNTR_2016 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the reThe dataset is based on the geometry from EBM v12.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2015) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2016, NUTS_2016, CNTR_2016, EEZ_2016 and COAS_2016, are fully coherent and compliant. Each scale level in the CNTR_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.gion and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa9b407c-992f-4107-be3e-b7d14b57d6d9	2017	2017	FALSE	World	Generalised dataset derived from EuroGeographics and UN-FAO GI data. The dataset may be used and distributed if: The source (EuroGeographics and UN-FAO) is acknowledged, AND The data is not used for commercial purpose, AND The original geometry is generalised to the equivalent of a scale of 1:1.000.000 or smaller. The source, copyright and branding will be acknowledged if the geographic data are used in Commission products. The acknowledgement will be displayed as “@EuroGeographics” on the map or in an acknowledgement text. The size of the text on the map will be proportional to the size of the map. The maximum length of copyright texts on electronic maps (web maps or electronic applications) is 20 characters. No copyright text will be applied for online icon maps with less than 150 x 150 pixels.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_100_k_gisco-admin-boundaries_2016	None	None
28ca86ba-e5f0-4202-931d-9917b15b42b1f	None	EEA reference grid for Bosnia and Herzegovina (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28ca86ba-e5f0-4202-931d-9917b15b42b1f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28ca86ba-e5f0-4202-931d-9917b15b42b1f	2013	2013	FALSE	Bosnia and Herzegovina	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ba_2013	None	None
6e6af1af-3fd4-4cca-949f-f6839ef99871f	None	EEA reference grid for Cyprus (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e6af1af-3fd4-4cca-949f-f6839ef99871f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e6af1af-3fd4-4cca-949f-f6839ef99871f	2013	2013	FALSE	Cyprus	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-cy_2013	None	None
5497b114-8b64-481d-9d7b-852fbc6912d1f	None	EEA reference grid for Germany (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5497b114-8b64-481d-9d7b-852fbc6912d1f.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5497b114-8b64-481d-9d7b-852fbc6912d1f	2013	2013	FALSE	Germany	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-de_2013	None	None
76f6414b-ffd4-416d-bd34-b8f09068733ff	None	EEA reference grid for Estonia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/76f6414b-ffd4-416d-bd34-b8f09068733ff.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/76f6414b-ffd4-416d-bd34-b8f09068733ff	2013	2013	FALSE	Estonia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ee_2013	None	None
7ea4e07b-dc2d-41cf-b124-1f784c78ccf3f	None	EEA reference grid for Malta (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7ea4e07b-dc2d-41cf-b124-1f784c78ccf3f	2013	2013	FALSE	Malta	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-mt_2013	None	None
27aee1b0-8505-498c-9ef3-b10977f005c2f	None	EEA reference grid for Turkey (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/27aee1b0-8505-498c-9ef3-b10977f005c2f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27aee1b0-8505-498c-9ef3-b10977f005c2f	2013	2013	FALSE	Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-tr_2013	None	None
e9f7f959-6f63-4c96-a47c-e4f1541eba51f	None	EEA reference grid for Hungary (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e9f7f959-6f63-4c96-a47c-e4f1541eba51f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e9f7f959-6f63-4c96-a47c-e4f1541eba51f	2013	2013	FALSE	Hungary	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-hu_2013	None	None
d44003b4-4807-49d7-91bc-284aea893ee9f	None	EEA reference grid for North Macedonia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d44003b4-4807-49d7-91bc-284aea893ee9f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44003b4-4807-49d7-91bc-284aea893ee9f	2013	2013	FALSE	North Macedonia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-mk_2013	None	None
23b457d3-2c09-47b5-bbee-ba976b2c8c63f	None	EEA reference grid for Bulgaria (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b457d3-2c09-47b5-bbee-ba976b2c8c63f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b457d3-2c09-47b5-bbee-ba976b2c8c63f	2013	2013	FALSE	Bulgaria	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-bg_2013	None	None
4666285b-8d51-4e5c-8a63-c2e2438cb375f	None	EEA reference grid for Portugal (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4666285b-8d51-4e5c-8a63-c2e2438cb375f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4666285b-8d51-4e5c-8a63-c2e2438cb375f	2013	2013	FALSE	Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pt_2013	None	None
33645b04-2afa-48fa-9399-85df8953d437f	None	EEA reference grid for Slovakia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/33645b04-2afa-48fa-9399-85df8953d437f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/33645b04-2afa-48fa-9399-85df8953d437f	2013	2013	FALSE	Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-sk_2013	None	None
3f46582f-f938-4ff6-b8a0-0f1db2209729f	None	EEA reference grid for Romania (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3f46582f-f938-4ff6-b8a0-0f1db2209729f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3f46582f-f938-4ff6-b8a0-0f1db2209729f	2013	2013	FALSE	Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ro_2013	None	None
660ce4c2-6e23-4aca-b906-0996bdcf24acf	None	EEA reference grid for France (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/660ce4c2-6e23-4aca-b906-0996bdcf24acf.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/660ce4c2-6e23-4aca-b906-0996bdcf24acf	2013	2013	FALSE	France	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-fr_2013	None	None
acc58574-941b-48c3-acfb-64461daf0dcaf	None	EEA reference grid for Slovakia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/acc58574-941b-48c3-acfb-64461daf0dcaf.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/acc58574-941b-48c3-acfb-64461daf0dcaf	2013	2013	FALSE	Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-sk_2013	None	None
28b2644d-5478-490d-a462-d19b7c1ae3aef	None	EEA reference grid for Slovenia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28b2644d-5478-490d-a462-d19b7c1ae3aef.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28b2644d-5478-490d-a462-d19b7c1ae3aef	2013	2013	FALSE	Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-si_2013	None	None
a528d40c-8980-4545-bae4-3b5da706cc1ff	None	EEA reference grid for Bosnia and Herzegovina (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a528d40c-8980-4545-bae4-3b5da706cc1ff.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a528d40c-8980-4545-bae4-3b5da706cc1ff	2013	2013	FALSE	Bosnia and Herzegovina	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ba_2013	None	None
de1b4ed1-799c-4373-a974-233a9c8150e3f	None	EEA reference grid for Slovenia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/de1b4ed1-799c-4373-a974-233a9c8150e3f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/de1b4ed1-799c-4373-a974-233a9c8150e3f	2013	2013	FALSE	Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-si_2013	None	None
0af259f3-e0ce-49a2-a442-59a6538c5a54f	None	EEA reference grid for Gibraltar (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0af259f3-e0ce-49a2-a442-59a6538c5a54f.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0af259f3-e0ce-49a2-a442-59a6538c5a54f	2013	2013	FALSE	Gibraltar	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-gi_2013	None	None
89724da0-e2be-43e3-b5bc-456fda03e3b1f	None	EEA reference grid for Montenegro (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89724da0-e2be-43e3-b5bc-456fda03e3b1f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89724da0-e2be-43e3-b5bc-456fda03e3b1f	2013	2013	FALSE	Montenegro	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-me_2013	None	None
7f848380-750a-4928-ab3c-359d49932040f	None	EEA reference grid for Albania (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7f848380-750a-4928-ab3c-359d49932040f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7f848380-750a-4928-ab3c-359d49932040f	2013	2013	FALSE	Albania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-al_2013	None	None
1538f933-943a-4c1c-ac63-a1978b1221e7f	None	EEA reference grid for Montenegro (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1538f933-943a-4c1c-ac63-a1978b1221e7f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1538f933-943a-4c1c-ac63-a1978b1221e7f	2013	2013	FALSE	Montenegro	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-me_2013	None	None
ce549840-cccb-447f-82be-0ca83983a564f	None	EEA reference grid for Liechtenstein (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ce549840-cccb-447f-82be-0ca83983a564f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ce549840-cccb-447f-82be-0ca83983a564f	2013	2013	FALSE	Liechtenstein	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-li_2013	None	None
6227f089-cc93-4c8d-89b5-d06516b2bcdcf	None	EEA reference grid for Norway (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6227f089-cc93-4c8d-89b5-d06516b2bcdcf.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6227f089-cc93-4c8d-89b5-d06516b2bcdcf	2013	2013	FALSE	Norway	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-no_2013	None	None
50ac55b9-f48d-4baa-bf44-f7e2d8904c6df	None	EEA reference grid for Italy (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50ac55b9-f48d-4baa-bf44-f7e2d8904c6df.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50ac55b9-f48d-4baa-bf44-f7e2d8904c6df	2013	2013	FALSE	Italy	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-it_2013	None	None
6c5c0398-1dbb-4c8a-be02-d2562d590e60f	None	EEA reference grid for Spain (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6c5c0398-1dbb-4c8a-be02-d2562d590e60f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6c5c0398-1dbb-4c8a-be02-d2562d590e60f	2013	2013	FALSE	Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-es_2013	None	None
f14cdb8d-3379-453f-abce-4e845abfe218f	None	EEA reference grid for Sweden (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f14cdb8d-3379-453f-abce-4e845abfe218f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f14cdb8d-3379-453f-abce-4e845abfe218f	2013	2013	FALSE	Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-se_2013	None	None
1808bf4b-761f-4ffd-a000-dececbda5e0ef	None	EEA reference grid for Greece (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1808bf4b-761f-4ffd-a000-dececbda5e0ef.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1808bf4b-761f-4ffd-a000-dececbda5e0ef	2013	2013	FALSE	Greece	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-gr_2013	None	None
7d7153c4-3d31-4ec6-ae64-db53afe95798f	None	EEA reference grid for Liechtenstein (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7d7153c4-3d31-4ec6-ae64-db53afe95798f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7d7153c4-3d31-4ec6-ae64-db53afe95798f	2013	2013	FALSE	Liechtenstein	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-li_2013	None	None
5d75de62-2cbf-452e-85a8-605d8368cc37f	None	EEA reference grid for Albania (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d75de62-2cbf-452e-85a8-605d8368cc37f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d75de62-2cbf-452e-85a8-605d8368cc37f	2013	2013	FALSE	Albania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-al_2013	None	None
f8b8e91c-761f-4c32-9d43-89bab72051e2f	None	EEA reference grid for Portugal (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f8b8e91c-761f-4c32-9d43-89bab72051e2f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f8b8e91c-761f-4c32-9d43-89bab72051e2f	2013	2013	FALSE	Portugal	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pt_2013	None	None
4540ed52-66ff-468b-b832-b903872e3f13f	None	EEA reference grid for Denmark (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4540ed52-66ff-468b-b832-b903872e3f13f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4540ed52-66ff-468b-b832-b903872e3f13f	2013	2013	FALSE	Denmark	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-dk_2013	None	None
3ae4d4fc-96d7-413f-b30e-674ef3f9dd3ff	None	EEA reference grid for Switzerland (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3ff.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ae4d4fc-96d7-413f-b30e-674ef3f9dd3ff	2013	2013	FALSE	Switzerland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ch_2013	None	None
236b655e-4e5f-48dd-9428-820ef1f467a8f	None	EEA reference grid for Bulgaria (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/236b655e-4e5f-48dd-9428-820ef1f467a8f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/236b655e-4e5f-48dd-9428-820ef1f467a8f	2013	2013	FALSE	Bulgaria	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-bg_2013	None	None
59ed0aa1-a464-446b-a960-36df73e2a803f	None	EEA reference grid for Austria (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/59ed0aa1-a464-446b-a960-36df73e2a803f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/59ed0aa1-a464-446b-a960-36df73e2a803f	2013	2013	FALSE	Austria	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-at_2013	None	None
48251637-b2f3-41af-8a9e-c11fe61490c8f	None	EEA reference grid for Latvia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48251637-b2f3-41af-8a9e-c11fe61490c8f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48251637-b2f3-41af-8a9e-c11fe61490c8f	2013	2013	FALSE	Latvia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-lv_2013	None	None
50a2e429-75da-4209-9f8a-c828a4ac2d4cf	None	EEA reference grid for Iceland (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50a2e429-75da-4209-9f8a-c828a4ac2d4cf.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50a2e429-75da-4209-9f8a-c828a4ac2d4cf	2013	2013	FALSE	Iceland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-is_2013	None	None
34b3126f-0884-4741-aecd-01b2da851793f	None	EEA reference grid for Norway (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34b3126f-0884-4741-aecd-01b2da851793f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34b3126f-0884-4741-aecd-01b2da851793f	2013	2013	FALSE	Norway	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-no_2013	None	None
844b1ad2-e6d8-4ab4-91a5-57eafa4e8589f	None	EEA reference grid for North Macedonia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/844b1ad2-e6d8-4ab4-91a5-57eafa4e8589f	2013	2013	FALSE	North Macedonia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-mk_2013	None	None
744589ba-7a58-4d6f-a990-5058f467a2b6f	None	EEA reference grid for Liechtenstein (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/744589ba-7a58-4d6f-a990-5058f467a2b6f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/744589ba-7a58-4d6f-a990-5058f467a2b6f	2013	2013	FALSE	Liechtenstein	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-li_2013	None	None
53ca956f-fefa-4c60-807c-8b6c6d4e5a0df	None	EEA reference grid for Czech Republic (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/53ca956f-fefa-4c60-807c-8b6c6d4e5a0df.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/53ca956f-fefa-4c60-807c-8b6c6d4e5a0df	2013	2013	FALSE	Czechia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-cz_2013	None	None
94b66808-26c4-44fa-8f16-caaf8be09b67f	None	EEA reference grid for North Macedonia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/94b66808-26c4-44fa-8f16-caaf8be09b67f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/94b66808-26c4-44fa-8f16-caaf8be09b67f	2013	2013	FALSE	North Macedonia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-mk_2013	None	None
20e9e1a1-83c1-4f13-89ef-c19767d6ee18f	None	EEA reference grid for Germany (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20e9e1a1-83c1-4f13-89ef-c19767d6ee18f.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20e9e1a1-83c1-4f13-89ef-c19767d6ee18f	2013	2013	FALSE	Germany	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-de_2013	None	None
c56f5e2b-6e7f-4da7-a5b3-25a8c17ca717	None	EEA reference grid for Europe (5km), Mar. 2013	None	None	None	None	None	This grid is compatible with Inspire compliant grids as defined in the document "D2.8.I.2 INSPIRE Specification on Geographical Grid Systems – Guidelines".	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c56f5e2b-6e7f-4da7-a5b3-25a8c17ca717.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	5000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c56f5e2b-6e7f-4da7-a5b3-25a8c17ca717	2013	2013	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_5_km_eea-ref-grid-europe_2013	None	None
644006e6-c6e0-4b5d-af44-f98d6c546c1bf	None	EEA reference grid for Lithuania (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/644006e6-c6e0-4b5d-af44-f98d6c546c1bf.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/644006e6-c6e0-4b5d-af44-f98d6c546c1bf	2013	2013	FALSE	Lithuania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-lt_2013	None	None
704d50fc-87ba-45b0-acca-5959f28fc010f	None	EEA reference grid for Belgium (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/704d50fc-87ba-45b0-acca-5959f28fc010f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/704d50fc-87ba-45b0-acca-5959f28fc010f	2013	2013	FALSE	Belgium	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-be_2013	None	None
e788ae75-deab-43ab-877c-4519695e7daef	None	EEA reference grid for Finland (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e788ae75-deab-43ab-877c-4519695e7daef.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e788ae75-deab-43ab-877c-4519695e7daef	2013	2013	FALSE	Finland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-fi_2013	None	None
e834751f-19d1-4842-823d-e90e600c5993	None	EEA reference grid for Europe (10km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e834751f-19d1-4842-823d-e90e600c5993.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e834751f-19d1-4842-823d-e90e600c5993	2011	2011	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-europe_2011	None	None
647133d3-3e09-4f8a-aa1d-8fe9b6f57993f	None	EEA reference grid for Hungary (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/647133d3-3e09-4f8a-aa1d-8fe9b6f57993f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/647133d3-3e09-4f8a-aa1d-8fe9b6f57993f	2013	2013	FALSE	Hungary	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-hu_2013	None	None
7db548da-06df-412d-a854-4e7307425233f	None	EEA reference grid for Malta (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7db548da-06df-412d-a854-4e7307425233f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7db548da-06df-412d-a854-4e7307425233f	2013	2013	FALSE	Malta	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-mt_2013	None	None
4c0a1d44-95e7-4bb0-858b-c478d403c9d8f	None	EEA reference grid for Ireland (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c0a1d44-95e7-4bb0-858b-c478d403c9d8f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c0a1d44-95e7-4bb0-858b-c478d403c9d8f	2013	2013	FALSE	Ireland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ie_2013	None	None
d825233a-ce68-476e-b0d6-3229b89e40b0f	None	EEA reference grid for Ireland (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d825233a-ce68-476e-b0d6-3229b89e40b0f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d825233a-ce68-476e-b0d6-3229b89e40b0f	2013	2013	FALSE	Ireland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ie_2013	None	None
343b9fe8-1e6a-410c-99df-2fae56ec47aaf	None	EEA reference grid for Poland (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/343b9fe8-1e6a-410c-99df-2fae56ec47aaf.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/343b9fe8-1e6a-410c-99df-2fae56ec47aaf	2013	2013	FALSE	Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pl_2013	None	None
62d67512-b22c-4728-a9ad-1c023cdd1a5af	None	EEA reference grid for Spain (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62d67512-b22c-4728-a9ad-1c023cdd1a5af.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62d67512-b22c-4728-a9ad-1c023cdd1a5af	2013	2013	FALSE	Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-es_2013	None	None
74cc2d96-c822-4e4c-98fb-bb58714f94c8f	None	EEA reference grid for Romania (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/74cc2d96-c822-4e4c-98fb-bb58714f94c8f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/74cc2d96-c822-4e4c-98fb-bb58714f94c8f	2013	2013	FALSE	Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ro_2013	None	None
63584a1f-9a9a-49e1-bba3-8b4fbd29e446f	None	EEA reference grid for Greece (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/63584a1f-9a9a-49e1-bba3-8b4fbd29e446f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/63584a1f-9a9a-49e1-bba3-8b4fbd29e446f	2013	2013	FALSE	Greece	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-gr_2013	None	None
e4a9d0cd-6c71-4c54-b8e5-554f861b1987f	None	EEA reference grid for Bulgaria (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e4a9d0cd-6c71-4c54-b8e5-554f861b1987f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e4a9d0cd-6c71-4c54-b8e5-554f861b1987f	2013	2013	FALSE	Bulgaria	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-bg_2013	None	None
c651bc41-d5da-49de-ba47-c51eabbb2007f	None	EEA reference grid for Turkey (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c651bc41-d5da-49de-ba47-c51eabbb2007f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c651bc41-d5da-49de-ba47-c51eabbb2007f	2013	2013	FALSE	Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-tr_2013	None	None
93315b78-089d-43a5-ac76-b3df627b2e4cf	None	EEA reference grid for United Kingdom (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/93315b78-089d-43a5-ac76-b3df627b2e4cf.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/93315b78-089d-43a5-ac76-b3df627b2e4cf	2013	2013	FALSE	United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-gb_2013	None	None
059d02f7-df51-45ad-adfd-d46fc3f4ee88f	None	EEA reference grid for Norway (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/059d02f7-df51-45ad-adfd-d46fc3f4ee88f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/059d02f7-df51-45ad-adfd-d46fc3f4ee88f	2013	2013	FALSE	Norway	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-no_2013	None	None
98480df2-c52a-492f-8fb6-3dcf6e13f344f	None	EEA reference grid for Serbia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/98480df2-c52a-492f-8fb6-3dcf6e13f344f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/98480df2-c52a-492f-8fb6-3dcf6e13f344f	2013	2013	FALSE	Serbia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-rs_2013	None	None
e374dcbc-0e0a-44f0-8906-25ba4053deb8f	None	EEA reference grid for Turkey (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e374dcbc-0e0a-44f0-8906-25ba4053deb8f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e374dcbc-0e0a-44f0-8906-25ba4053deb8f	2013	2013	FALSE	Turkey	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-tr_2013	None	None
fa2d05bc-208b-4a46-b400-6f01fed47c24f	None	EEA reference grid for Bosnia and Herzegovina (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fa2d05bc-208b-4a46-b400-6f01fed47c24f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fa2d05bc-208b-4a46-b400-6f01fed47c24f	2013	2013	FALSE	Bosnia and Herzegovina	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ba_2013	None	None
48b3b559-e140-4f67-8c67-842f7524078af	None	EEA reference grid for Spain (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48b3b559-e140-4f67-8c67-842f7524078af.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48b3b559-e140-4f67-8c67-842f7524078af	2013	2013	FALSE	Spain	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-es_2013	None	None
1fb349ec-84d9-46ee-b361-facb4e3a5251f	None	EEA reference grid for France (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1fb349ec-84d9-46ee-b361-facb4e3a5251f.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1fb349ec-84d9-46ee-b361-facb4e3a5251f	2013	2013	FALSE	France	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-fr_2013	None	None
956f2e84-6461-4025-b948-9e3e47972b83f	None	EEA reference grid for Poland (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/956f2e84-6461-4025-b948-9e3e47972b83f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/956f2e84-6461-4025-b948-9e3e47972b83f	2013	2013	FALSE	Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pl_2013	None	None
9e906444-2611-4d62-bb09-850bb4c27912f	None	EEA reference grid for Sweden (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e906444-2611-4d62-bb09-850bb4c27912f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e906444-2611-4d62-bb09-850bb4c27912f	2013	2013	FALSE	Sweden	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-se_2013	None	None
40611325-0fbf-45c0-84be-f0df0576b477f	None	EEA reference grid for Kosovo (UNSCR 1244/99) (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/40611325-0fbf-45c0-84be-f0df0576b477f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/40611325-0fbf-45c0-84be-f0df0576b477f	2013	2013	FALSE	Kosovo	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-xk_2013	None	None
08fcaf24-5db4-44ec-895d-6a63dd33c997f	None	EEA reference grid for Cyprus (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/08fcaf24-5db4-44ec-895d-6a63dd33c997f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08fcaf24-5db4-44ec-895d-6a63dd33c997f	2013	2013	FALSE	Cyprus	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-cy_2013	None	None
28263ba1-b2c0-421d-bd75-6b9959da1d95f	None	EEA reference grid for Denmark (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28263ba1-b2c0-421d-bd75-6b9959da1d95f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28263ba1-b2c0-421d-bd75-6b9959da1d95f	2013	2013	FALSE	Denmark	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-dk_2013	None	None
a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9f	None	EEA reference grid for Croatia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a2d18e0e-be68-4a9a-ae29-371e8b4f7ac9f	2013	2013	FALSE	Croatia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-hr_2013	None	None
ada072ce-a203-4e36-87f4-cbd021ab6435f	None	EEA reference grid for France (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ada072ce-a203-4e36-87f4-cbd021ab6435f.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ada072ce-a203-4e36-87f4-cbd021ab6435f	2013	2013	FALSE	France	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-fr_2013	None	None
43531f2a-d0cb-49ec-8bc0-567241591b4bf	None	EEA reference grid for Luxembourg (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/43531f2a-d0cb-49ec-8bc0-567241591b4bf.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/43531f2a-d0cb-49ec-8bc0-567241591b4bf	2013	2013	FALSE	Luxembourg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-lu_2013	None	None
7de2fa27-e9a5-4ebf-a7ba-825039c1d95cf	None	EEA reference grid for Luxembourg (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7de2fa27-e9a5-4ebf-a7ba-825039c1d95cf.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7de2fa27-e9a5-4ebf-a7ba-825039c1d95cf	2013	2013	FALSE	Luxembourg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-lu_2013	None	None
bf9d3e68-3f99-4851-8179-3ba3aad493bff	None	EEA reference grid for Kosovo (UNSCR 1244/99) (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bf9d3e68-3f99-4851-8179-3ba3aad493bff.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bf9d3e68-3f99-4851-8179-3ba3aad493bff	2013	2013	FALSE	Kosovo	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-xk_2013	None	None
ad349ff5-1683-4e06-8892-7ed00fdcacdef	None	EEA reference grid for Netherlands (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ad349ff5-1683-4e06-8892-7ed00fdcacdef.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ad349ff5-1683-4e06-8892-7ed00fdcacdef	2013	2013	FALSE	Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-nl_2013	None	None
b55f8c0b-9ba2-419c-8d6c-b2b77ba771fff	None	EEA reference grid for Croatia (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b55f8c0b-9ba2-419c-8d6c-b2b77ba771fff.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b55f8c0b-9ba2-419c-8d6c-b2b77ba771fff	2013	2013	FALSE	Croatia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-hr_2013	None	None
cbe9c2cf-e885-4965-8935-7ffb2e2a3e80f	None	EEA reference grid for Netherlands (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cbe9c2cf-e885-4965-8935-7ffb2e2a3e80f	2013	2013	FALSE	Netherlands	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-nl_2013	None	None
ef0c1052-6405-4f1d-ae58-9d6e2acae96af	None	EEA reference grid for Malta (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ef0c1052-6405-4f1d-ae58-9d6e2acae96af.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ef0c1052-6405-4f1d-ae58-9d6e2acae96af	2013	2013	FALSE	Malta	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-mt_2013	None	None
92d559f7-abfc-4bc6-86dd-cc56a4467fb0f	None	EEA reference grid for Slovenia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/92d559f7-abfc-4bc6-86dd-cc56a4467fb0f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/92d559f7-abfc-4bc6-86dd-cc56a4467fb0f	2013	2013	FALSE	Slovenia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-si_2013	None	None
9e80fdac-a518-462b-942b-82701035c079f	None	EEA reference grid for Czech Republic (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9e80fdac-a518-462b-942b-82701035c079f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9e80fdac-a518-462b-942b-82701035c079f	2013	2013	FALSE	Czechia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-cz_2013	None	None
c95d15fb-d98c-4972-a9f0-d54742ffcf71f	None	EEA reference grid for Lithuania (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c95d15fb-d98c-4972-a9f0-d54742ffcf71f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c95d15fb-d98c-4972-a9f0-d54742ffcf71f	2013	2013	FALSE	Lithuania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-lt_2013	None	None
6aa829af-26f1-4f60-8073-f3704be4b422f	None	EEA reference grid for Luxembourg (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6aa829af-26f1-4f60-8073-f3704be4b422f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6aa829af-26f1-4f60-8073-f3704be4b422f	2013	2013	FALSE	Luxembourg	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-lu_2013	None	None
bfd48dec-2424-421b-81fc-19021ef81c46f	None	EEA reference grid for Serbia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bfd48dec-2424-421b-81fc-19021ef81c46f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bfd48dec-2424-421b-81fc-19021ef81c46f	2013	2013	FALSE	Serbia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-rs_2013	None	None
799f353c-d074-47c3-9783-7e246c036a1b	None	Geographic Information System of the European Commission (GISCO), Jul. 2018	None	None	None	None	None	GISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at three levels: the European Union, its member countries, and its regions. In addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. This metadata refers to the whole content of GISCO reference database extracted in July 2018, which contains both public datasets and datasets to be used only internally by the EEA. The document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document "LicenseConditions_EuroGeographics.pdf". The database is provided in GDB and in SQLITE, with datasets at scales from 1:60M to 1:100K, with reference years spanning until 2016. The database manual, a file with the content of the database, and a document with the naming conventions are also provided with the database. For particular datasets extracted from this database (e.g. NUTS 2016, COUNTRIES 2016) please refer to the associated resources in the EEA SDI catalogue. NOTE: This metadata file is only for internal EEA purposes and in no case replaces the official metadata provided by Eurostat.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/799f353c-d074-47c3-9783-7e246c036a1b.png	EPSG:3035	2019-06-04	None	Administrative units|Elevation|Land cover|Population distribution — demography|Transport networks	administrative boundary	vector	FGeo|Spatialite	None	1:60000000	None	Information on the lineage of the different datasets can be found in their respective metadata files.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/799f353c-d074-47c3-9783-7e246c036a1b	2016	2016	FALSE	Europe|World	Eurostat's general copyright notice and licence policy is applicable and can be consulted on http://ec.europa.eu/eurostat/about/policies/copyright. Please also be aware of the European Commission's general conditions (https://ec.europa.eu/info/legal-notice_en) Moreover, there are specific provisions applicable to some of the datasets available for downloading. The download and usage of these data is subject to their acceptance. Please see the respective section for more details on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data. The European Commission, its Executive Agencies and European Environmental Agency may use the datasets under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. The document GISCO-ConditionsOfUse.pdf provided with the dataset gives information on the copyrighted data sources, the mandatory acknowledgement clauses and re-dissemination rights. The license conditions for EuroGeographic datasets in GISCO are provided in a standalone document "LicenseConditions_EuroGeographics.pdf".	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_x_x_x_gisco_i_2016_series	None	None
c57a03db-5069-4554-a31b-ec8e53728d56f	None	EEA reference grid for Austria (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c57a03db-5069-4554-a31b-ec8e53728d56f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c57a03db-5069-4554-a31b-ec8e53728d56f	2013	2013	FALSE	Austria	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-at_2013	None	None
f11d6b89-1a13-46b7-b900-a6629539f353f	None	EEA reference grid for Latvia (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f11d6b89-1a13-46b7-b900-a6629539f353f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f11d6b89-1a13-46b7-b900-a6629539f353f	2013	2013	FALSE	Latvia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-lv_2013	None	None
0046e069-1b48-4fb5-90e5-2f2793789f7df	None	EEA reference grid for Gibraltar (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0046e069-1b48-4fb5-90e5-2f2793789f7df.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0046e069-1b48-4fb5-90e5-2f2793789f7df	2013	2013	FALSE	Gibraltar	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-gi_2013	None	None
bb796039-8210-46b6-bebb-77f3c6ee5997f	None	EEA reference grid for Finland (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb796039-8210-46b6-bebb-77f3c6ee5997f.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb796039-8210-46b6-bebb-77f3c6ee5997f	2013	2013	FALSE	Finland	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-fi_2013	None	None
0cae298d-2129-41c3-9548-0092962f41fcf	None	EEA reference grid for Italy (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0cae298d-2129-41c3-9548-0092962f41fcf.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0cae298d-2129-41c3-9548-0092962f41fcf	2013	2013	FALSE	Italy	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-it_2013	None	None
8644df59-75c3-4dd4-b59c-25c5b9c4a9ebf	None	EEA reference grid for Romania (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8644df59-75c3-4dd4-b59c-25c5b9c4a9ebf.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8644df59-75c3-4dd4-b59c-25c5b9c4a9ebf	2013	2013	FALSE	Romania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ro_2013	None	None
bdcc81d5-4530-4071-b2c5-268bf49a9838f	None	EEA reference grid for Finland (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bdcc81d5-4530-4071-b2c5-268bf49a9838f.png	EPSG:3035	2019-06-27	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bdcc81d5-4530-4071-b2c5-268bf49a9838f	2013	2013	FALSE	Finland	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-fi_2013	None	None
bc1d2383-e126-4982-b626-74396213d38df	None	EEA reference grid for Italy (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bc1d2383-e126-4982-b626-74396213d38df.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bc1d2383-e126-4982-b626-74396213d38df	2013	2013	FALSE	Italy	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-it_2013	None	None
b0a22226-80a3-4d9b-babb-789e57f8c05df	None	EEA reference grid for United Kingdom (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0a22226-80a3-4d9b-babb-789e57f8c05df.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0a22226-80a3-4d9b-babb-789e57f8c05df	2013	2013	FALSE	United Kingdom	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-gb_2013	None	None
964a58b4-3961-4d58-9319-18b4bf072cf1f	None	EEA reference grid for Croatia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/964a58b4-3961-4d58-9319-18b4bf072cf1f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/964a58b4-3961-4d58-9319-18b4bf072cf1f	2013	2013	FALSE	Croatia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-hr_2013	None	None
d9d4684e-0a8d-496c-8be8-110f4b9465f6	None	EEA reference grid for Europe (1km), May 2011	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9d4684e-0a8d-496c-8be8-110f4b9465f6.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9d4684e-0a8d-496c-8be8-110f4b9465f6	2011	2011	FALSE	Europe	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-europe_2011	None	None
f5d0cc18-5058-435e-822d-ca1479098c87f	None	EEA reference grid for Ireland (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f5d0cc18-5058-435e-822d-ca1479098c87f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f5d0cc18-5058-435e-822d-ca1479098c87f	2013	2013	FALSE	Ireland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ie_2013	None	None
56d8dbbb-79b4-4859-acea-355ed9dc449af	None	EEA reference grid for Slovakia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/56d8dbbb-79b4-4859-acea-355ed9dc449af.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/56d8dbbb-79b4-4859-acea-355ed9dc449af	2013	2013	FALSE	Slovakia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-sk_2013	None	None
f93fddaa-56ba-4536-a1db-698f64c8af3df	None	EEA reference grid for Gibraltar (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f93fddaa-56ba-4536-a1db-698f64c8af3df.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f93fddaa-56ba-4536-a1db-698f64c8af3df	2013	2013	FALSE	Gibraltar	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-gi_2013	None	None
3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3f	None	EEA reference grid for Estonia (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3f.png	EPSG:3035	2019-06-26	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3ee9a50c-92b1-4a6e-8ad9-079e7c2af1d3f	2013	2013	FALSE	Estonia	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ee_2013	None	None
89f49357-ac68-4293-86f8-1e64da2ab7fbf	None	EEA reference grid for Austria (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89f49357-ac68-4293-86f8-1e64da2ab7fbf.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89f49357-ac68-4293-86f8-1e64da2ab7fbf	2013	2013	FALSE	Austria	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-at_2013	None	None
3901f1f7-e3a9-4a23-8c51-82fefeac378af	None	EEA reference grid for Poland (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3901f1f7-e3a9-4a23-8c51-82fefeac378af.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3901f1f7-e3a9-4a23-8c51-82fefeac378af	2013	2013	FALSE	Poland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pl_2013	None	None
99d4a09b-ae81-4600-a787-b35899a46121f	None	EEA reference grid for Switzerland (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/99d4a09b-ae81-4600-a787-b35899a46121f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/99d4a09b-ae81-4600-a787-b35899a46121f	2013	2013	FALSE	Switzerland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ch_2013	None	None
764116af-4c9c-4343-b2d4-1e48740d82b7f	None	EEA reference grid for Iceland (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/764116af-4c9c-4343-b2d4-1e48740d82b7f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/764116af-4c9c-4343-b2d4-1e48740d82b7f	2013	2013	FALSE	Iceland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-is_2013	None	None
494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf	None	EEA reference grid for Iceland (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/494c3ca7-1b2a-4ed7-939a-f56cdb2ee63bf	2013	2013	FALSE	Iceland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-is_2013	None	None
89ee806c-5804-40a6-a011-44a4b96478d9f	None	EEA reference grid for Switzerland (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/89ee806c-5804-40a6-a011-44a4b96478d9f.png	EPSG:3035	2019-07-02	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/89ee806c-5804-40a6-a011-44a4b96478d9f	2013	2013	FALSE	Switzerland	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ch_2013	None	None
5407bd5f-8c05-4b1c-9b8e-812574d6f50ff	None	EEA reference grid for Albania (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5407bd5f-8c05-4b1c-9b8e-812574d6f50ff.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5407bd5f-8c05-4b1c-9b8e-812574d6f50ff	2013	2013	FALSE	Albania	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-al_2013	None	None
87bb8619-5dbb-4e49-8509-3f273439a185	None	EuroBoundaryMap 2019 (EBM 2019), Jan. 2019	None	None	None	None	None	EuroBoundaryMap (EBM) provides a European geographic database for administrative and statistical regions that will be maintained at the source level by the National Mapping and Cadastral Agencies (NMCAs), and by providing harmonized access conditions for this geographic information within the framework of EuroGeographics. EBM (1:100000) offers the combined strength of detailed European administrative units and linkages to the corresponding LAU and NUTS codes. This metadata refers to the version 2019 of EBM, which is a full update of all the countries. The dataset is provided both in a full Europe dataset (Data_FullEurope) and divided by countries (Data_Countries) in GDB and SHP formats, compressed (ZIP) and not compressed. EBM 2019 contains the matching with the NUTS regulations No 2016/2066 (NUTS 2016) and refers to the administrative situation as it was in each country on 1 January 2018 (reference date). The EBM Full Europe database is containing Kosovo (KS) as an independent country, but the individual dataset of Serbia (RS) covers also Kosovo following Serbian legal position. For more information about the data product specifications and changes with respect to the previous version of this dataset (EBM v12), please refer to the documents EBM_2019_Specification.pdf, EBM_2019_TechnicalGuide.pdf and EBM_2019_Changes.pdf provided with the dataset under the folder "Documents" and "Descriptions_Metadata" under "Documentation" link. IMPORTANT NOTE: This dataset is only to be used internally in the EEA, for the purposes and under the conditions stated under the "Resource Constraints" elements of this metadata file and on the document "LicenseConditions.pdf" provided with this dataset under "Documentation" link. This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset ("Metadata_EBM_2019.xml" within the "Descriptions_Metadata").	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/87bb8619-5dbb-4e49-8509-3f273439a185.png	EPSG:4258	2019-06-04	None	Administrative units|Geographical names|Population distribution — demography|Statistical units	administrative boundary|national boundary|sub-national boundary	vector	FGeo|SHP	None	1:100000	None	Delivered separately for each national contribution. Please refer to the documents "XX_Lineage_EBM.pdf" (where XX is the country acronym), stored under each corresponding country folder in "Descriptions_Metadata" provided together with the dataset under the link "Documentation".	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87bb8619-5dbb-4e49-8509-3f273439a185	None	None	FALSE	Albania|Bosnia and Herzegovina|EFTA4|EU28|Europe|Faeroe Islands|Greenland|Kosovo|Moldova|Monaco|North Macedonia|Serbia|Ukraine	The Commission will store the geographic data set on a central server that is accessible by Commission staff. Eurostat will distribute parts or the entire data within the Commission, to the EU Executive Agencies and to subcontractors. The Commission is authorised to use the geographic data as follows: (1) As geographic reference, i.e. creating a geographical context for other data. (2) For the production of maps, publications, posters, presentations and statistical analysis. (3) For deriving new geographic datasets by applying data manipulation procedures, e.g. combining different geographic datasets, generalisation procedures including smoothing and dropping of spatial features, adding new attribute information. Examples of derived geographic data are the NUTS map or the Trans European Transport Network. (4) For distributing the geographic data within the Commission as well as to the public in the form of publications, posters, presentations, derived analysed statistical data and derived geographic datasets. (5) For inclusion of the geographic data as map services in other applications provided that it will not possible to extract the original geographic data. (6) For spatial analysis and for mapping of results of these analysis. The license conditions are spelled out in the "LicenseConditions.pdf" document provided together with the dataset.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_100_k_ebm-europe_i_2018_v13_r00	None	None
defe2664-966d-47a2-b7a5-939258ce008f	None	Urban Waste Water Treatment Directive, Agglomerations - INTERNAL VERSION - Nov. 2017	None	None	None	None	None	UWWTD Agglomerations, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Dataset UWWTD_Agglomerations contains agglomerations reported by countries with generated load ≥ 2000 p.e. (or even smaller), including names, coordinates, generated load and information whether the load generated is collected through collecting system or addressed via Individual Appropriate Systems (IAS) or not collected not addressed via IAS. Dataset contains all reported agglomerations, including inactive ones. Agglomerations with obviously wrong coordinates were excluded only.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/defe2664-966d-47a2-b7a5-939258ce008f.png	None	2019-06-04	None	Production and industrial facilities	Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|water quality	vector	SHP	None	100m	None	Agglomerations data were reported by Member states in tabular format. Spatial position of individual agglomeations was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Agglomerations with obviously wrong coordinates were removed. If the agglomeration coordinates were not reported, given agglomeration was not excluded (= missing information, coordinates are unknown); on the transformation from reported tabular format to the spatial point layer in ArcGIS, records with missing coordinates were not transferred to the points visible in the data layer, of course, but they are available in the attribute table and their coordinates aggLatitude and aggLongitude in the attribute table were set automatically to [0,0] values during the transformation process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/defe2664-966d-47a2-b7a5-939258ce008f	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_m_uwwtd-agglo_i_2013-2014_v05_r00	None	None
e5dabe9d-4efe-40bd-8834-08544ed3fb62	None	Urban Waste Water Treatment Directive, Treatment plants - INTERNAL VERSION - Nov. 2017	None	None	None	None	None	UWWTD Treatment Plants, Nov. 2017 is one of the datasets produced within the frame of the reporting under 9th UWWTD Art.15 reporting period (UWWTD data call 2015). The Urban Waste Water Treatment Directive (UWWTD) (91/271/EEC) obliges Member States to report data on the implementation of the Directive upon request from the European Commission bi-annually. Reported data include receiving areas as designated under UWWTD, agglomerations, urban waste water treatment plants serving the agglomerations and points of discharges. Dataset UWWTD_TreatmentPlants contains urban waste water treatment plants and collecting systems without UWWTP, including their coordinates, capacity and actual load treated, type of treatment and data on the performance of plants. Dataset contains all reported treatment plants, including inactive or not connected ones. Treatment plants with obviously wrong coordinates were excluded only.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e5dabe9d-4efe-40bd-8834-08544ed3fb62.png	None	2019-06-04	None	Production and industrial facilities	Urban Waste Water Treatment Directive|urban wastewater|urban wastewater treatment|waste water|waste water treatment plant|water quality	vector	SHP	None	100m	None	Treatment plants data were reported by Member states in tabular format. Spatial position of individual treatment plants was specified by the geographical coordinates fields (longitude, latitude). These tabular data were checked, grouped into a common Pan-European dataset and transformed to the spatial data layer in GIS software. Treatment plants with obviously wrong coordinates were removed. If the treatment plant coordinates were not reported, given treatment plant was not excluded (= missing information, coordinates are unknown); on the transformation from reported tabular format to the spatial point layer in ArcGIS, records with missing coordinates were not transferred to the points visible in the data layer, of course, but they are available in the attribute table and their coordinates uwwLatitude and uwwLongitude in the attribute table were set automatically to [0,0] values during the transformation process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e5dabe9d-4efe-40bd-8834-08544ed3fb62	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_m_uwwtd-tp_i_2013-2014_v05_r00	None	None
66c3b90b-8fc9-434c-b039-e38eef83c4b9	None	Soil maps of European Food Agency Data (EFSA), bulk density of the topsoil - version 1.0, Oct. 2010	None	None	None	None	None	In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. This dataset contains the topsoil bulk density expressed in kg.m^-3 This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/66c3b90b-8fc9-434c-b039-e38eef83c4b9.png	EPSG:3035	2019-06-04	None	None	density|soil	grid	AAIGrid	None	1000m	None	Refer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/66c3b90b-8fc9-434c-b039-e38eef83c4b9	None	None	FALSE	Soil	Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html Notification regarding these data: 1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. 2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. 3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. 4.The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : 1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_efsa-soil-maps-rho_2008-2009_rev01	None	None
2b47ab28-dc02-4104-af60-f99c27b5f483	None	Soil maps of European Food Agency Data (EFSA), texture class of the topsoil - version 1.0, Oct. 2010	None	None	None	None	None	In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. This dataset contains the topsoil texture class expressed as relative proportion (%): Value ID: 1 --- Texture: Coarse (18% < clay and > 65% sand) Value ID: 2 --- Texture: Medium (18% < clay < 35% and >= 15% sand, or 18% < clay and 15% < sand < 65%) Value ID: 3 --- Texture: Medium fine (< 35% clay and < 15% sand) Value ID: 4 --- Texture: Fine (35% < clay < 60%) Value ID: 5 --- Texture: Very fine (clay > 60%) Value ID: 9 --- Texture: No mineral texture (Peat soils) This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2b47ab28-dc02-4104-af60-f99c27b5f483.png	EPSG:3035	2019-06-04	None	None	soil|soil texture	grid	AAIGrid	None	1000m	None	Refer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2b47ab28-dc02-4104-af60-f99c27b5f483	None	None	FALSE	Soil	Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html Notification regarding these data: 1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. 2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. 3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. 4.The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : 1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_efsa-soil-maps-texture_2008-2009_rev01	None	None
d1a5a044-5e81-460a-b555-6ddee36e5fac	None	Soil maps of European Food Agency Data (EFSA) - version 1.0, Oct. 2010	None	None	None	None	None	In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. Soil maps: Organic matter content of the topsoil, pH of the topsoil, Bulk density of the topsoil, Texture of the topsoil, Water content at field capacity. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d1a5a044-5e81-460a-b555-6ddee36e5fac.png	EPSG:3035	2019-06-04	None	None	soil	grid	AAIGrid	None	1000m	None	Refer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d1a5a044-5e81-460a-b555-6ddee36e5fac	None	None	FALSE	Soil	Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html Notification regarding these data: 1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. 2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. 3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. 4.The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : 1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_efsa-soil-maps_2008-2009_rev01	None	None
663e4a29-3a1c-461b-9975-174f46ccd944	None	European catchments and Rivers network system (Ecrins), ancillary data sets - version 1, Jun. 2012	None	None	None	None	None	This personal geodatabases (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains different ancillary datasets of Ecrins v1.0. the number and contents of the ancillary. The most relevant feature class is the C_dams that documents the dams that have a position accurately recorded. Hence this layer is likely to be updated if new coordinates are obtained (coordinates and dams update is a continuous work by the EEA). Dams are related to river segments and to lakes. It may happen that a dam is not related for several reasons: dams coordinates are inaccurate; position of lake / segment is inaccurate and too far and I some cases the lake does not exist (e.g. less than 25 ha, not yet filled or the dams makes no lake) or the segment does not exist for example is the lake has no river to empty it. The second ancillary data set id the features class of FECs centroids, it has been placed here to avoid inflating the EcrFEC database and make it at a safe distance of the 2GB impassable threshold of MS Access® . The two last ancillary dataset are flat table making it possible to retrieve source CCM catchments that contributed to FECS, table FECvsW1, with reference to the smallest entity aggregated as FEC. second table is TR_TR0 giving equivalence of the segment ID in version 0 to the current version. Both tables are only for those experts working in parallel with CCM. Full documentation is in EEA technical report 9/2012, downloadable from the EEA website.	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/663e4a29-3a1c-461b-9975-174f46ccd944.png	EPSG:3035	2019-06-04	None	None	hydrography	vector	PGeo	None	1:250000	None	All data sets are from other Ecrins, except the dams table that is taken from Eldred2. This later data sets is limited in access and only public information is set in this Ecrins ancillary data set. Non catalogued dams have been added as complements of lakes reported under the WFD when the lake reported had been created as artificial reservoir (e.g. Alqueva lake results of the Alqueva dam). In this case, individual updates have been carried out.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/663e4a29-3a1c-461b-9975-174f46ccd944	None	None	FALSE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_ecrins-ancillary_1990-2006_rev01	None	None
0d7b3d8f-084c-4c26-8c0c-fc43232cb80a	None	Coastal waters - version 1, Oct. 2013	None	None	None	None	None	"Coastal water" are surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters.	https://www.eea.europa.eu/data-and-maps/data/transitional-and-coastal-reference-layers	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4f15ee2-2c70-465f-8eaf-8e679692949a.png	EPSG:4326	2019-06-04	None	None	Hydrography	vector	SHP	None	1:100000	None	The TC reference layers update version 20130626 is an update for the version 20121204. It was compiled to include feedback received from Member States during and after the Working Group D in April/May 2013.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d7b3d8f-084c-4c26-8c0c-fc43232cb80a	None	None	FALSE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_100_k_cw_2012_rev1	None	None
41d55e8f-4fcf-41f9-8d97-14613fcd1f9c	None	European soil database (ESDB), Dominant STU rasters (Soil Topologycal Units) - version 2.0, May 2006	None	None	None	None	None	The European Soil Database (ESDB) contains four discrete datasets: - the Soil Geographical Database of Eurasia at scale 1:1,000,000 (SGDBE) - the Pedotransfer Rules Database (PTRDB) - the Soil Profile Analytical Database of Europa (SPADBE) - the Database of Hydraulic Properties of European Soils (HYPRES) This 1km x 1km raster version release of the database is freely available to the public and contains a 1km raster version of the vector based soil geometry (which is part of the SGDBE). Raster values have been derived using the "features to raster" tool in the Spatial Analyst extension of ArcGIS, the feature layer being a shapefile created from the SGDBE geometrical database to which attributes from SGDBE and PTRDB have been linked according to the "dominant STU" principle for the "dominant STU" rasters. Dominant STU principle: For each SMU (Soil Mapping Unit): a “dominant STU” is associated. (“dominant” in terms of % of area). The value of a soil attribute A (e.g. depth-to-rock) for this SMU would be the value that A has within that dominant STU. The attributes are described at: http://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/SG_attr.htm http://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/pt_attr.htm This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/41d55e8f-4fcf-41f9-8d97-14613fcd1f9c.png	EPSG:3035	2019-06-04	None	None	Soil	grid	AAIGrid	None	1000m	None	Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDB_data_1k_raster_intro/ESDB_1k_raster_data_intro.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/41d55e8f-4fcf-41f9-8d97-14613fcd1f9c	None	None	FALSE	Soil	Notification regarding these data: The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006. Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_esdb-dom-stu_2001-2006_rev02	None	None
d4f15ee2-2c70-465f-8eaf-8e679692949a	None	Transitional waters - version 1, Oct. 2013	None	None	None	None	None	"Transitional waters" are bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows.	https://www.eea.europa.eu/data-and-maps/data/transitional-and-coastal-reference-layers	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d4f15ee2-2c70-465f-8eaf-8e679692949a.png	EPSG:4326	2019-06-04	None	None	Hydrography	vector	SHP	None	1:100000	None	The TC reference layers update version 20130626 is an update for the version 20121204. It was compiled to include feedback received from Member States during and after the Working Group D in April/May 2013.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d4f15ee2-2c70-465f-8eaf-8e679692949a	1990	2000	TRUE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4326_100_k_tw_2012_rev1	None	None
c156fb97-f3ea-4e61-b33f-b48236cb7f30	None	European catchments and Rivers network system (Ecrins), lakes and reservoirs - version 1, Jun. 2012	None	None	None	None	None	This personal geodatabase (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the “lakes” datasets of Ecrins v1.0 Lakes are very important features of any hydrographical system and have hence been added to Ecrins. This feature is more uncertain than the other ones since it results from the processing of different sources under a twin constraint of relevance and free of charges accessibility. The current layer comprises 70,847 lake objects, that will certainly be updated in the months to come. A lake is, as a river both a geometric and cultural object. In areas where many lakes are intertwined, the difference between one and several lakes is often that a name has been found or not or that the Corine Land cover maker has placed a limit or not. The database comprises the following tables: feature class C_Lak with all information related to all still waterbodies which area is more than the Corine Land cover threshold, plus those identified because a reservoir or any other relevant source. This table is completed by the centroids of lakes, V_lak_Centro. The complex relationships between lakes and river segments are documented by table lakInOut where the inlet and the outlet(s) segments are reported. Complementary tables, needed by the water accounts, v_lakperadmin et v_linterfec respectively document the lake to administrative entities, with shared area and same with FECs. Being in relation with the other components of Ecrins, lakes are versioned with respect to catchments and rivers and with their update as well. Lake naming comes from fours sources: ERM, Eldred2, Art 13 reporting and Wikipedia. Hydrographical information (volume, Zaverage, Zmax) and is permanently updated from three source: Eldred2, the dams database, and Wikipedia In version 1.0, the history of lakes is not documented. Most natural lakes have a time span much before and beyond the expected duration of Ecrins. Artificial lakes, related to dams have their history documented with the dam and some natural lakes are intermittent. This last category is not documented. Since lower limit for lake inclusion is 25 ha, all “main lakes” under the WFD acceptation are present (except if missed for any reason, the most likely being creation of an artificial reservoir not present in the latest update). Full documentation is in EEA technical report 9/2012, downloadable from the EEA website.	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c156fb97-f3ea-4e61-b33f-b48236cb7f30.png	EPSG:3035	2019-06-04	None	None	hydrography	vector	PGeo	None	1:250000	None	Main source is Corine Land cover 2006, checked against ERM lakes layer for identifying relevance of Corine Land cover classification. Secondary sources are Eldred2 (EEA dams database) and WFD Art 13 deliveries. For example, a large dams mentioned in Eldred with a lake of sufficient area is verified against the lake layer and eventual correction on Corine Land cover is carried out; this was often the case for narrow and long reservoirs on rivers that are frequently clustered, forgotten or ill-classified in Corine Land cover. The presence of lake in different sources is mentioned in the C_lak table and if possible the ID of the source element reported as well as the ID of the matched ERM lake, hence making a bridge between the Ecrins (operational data set) and the user of ERM (geographical data set). Lake naming comes pro-parte from ERM, when a match is found and verified against other sources, from Art 13 reporting and from Wikipedia. Lakes matched to Wikipedia entries are as well flagged.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c156fb97-f3ea-4e61-b33f-b48236cb7f30	1990	2006	TRUE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_ecrins-lakes_1990-2006_rev01	None	None
6169a4d6-f54a-430b-b79d-e3606b07978a	None	Soil maps of European Food Agency Data (EFSA), organic matter content of the topsoil - version 1.0, Oct. 2010	None	None	None	None	None	In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. This dataset represents the organic matter content of the topsoil expressed as concentration (%). This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6169a4d6-f54a-430b-b79d-e3606b07978a.png	EPSG:3035	2019-06-04	None	None	organic matter|soil	grid	AAIGrid	None	1000m	None	Refer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6169a4d6-f54a-430b-b79d-e3606b07978a	2008	2009	TRUE	Soil	Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html Notification regarding these data: 1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. 2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. 3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. 4.The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : 1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_efsa-soil-maps-om_2008-2009_rev01	None	None
5fd67b22-2e7e-445c-b466-a0faa842001a	None	European catchments and Rivers network system (Ecrins), aggregation catchments and reference layers - version 1, Jun. 2012	None	None	None	None	None	This personal geodatabases (compatible Access 1997 and beyond, ArcGis® 9.3.0 and beyond) contains the aggregation catchments datasets of Ecrins v1.0 The purpose of Ecrins is modelling and homogeneous assessment of any data sets and information in relation with continental catchment systems. The WFD is the main driver of creation of such aggregates. The uppermost aggregate of the WFD is the “river basin district” that is not hydrological entity. It is analysed as i) all those FECS being in majority in the official RBD delineation, ii) all those FECs, topologically connected, that are the closet shaping of the RBD, the “functional RBD”. For example, the upper Garonne is in the first case attached the Ebro RBD and to the Garonne functional RBD because the water empties in the Gironde, not in the Mediterranean RBD sizes lay in a wide range. Two categories of sub-basins have been designed, the “sub-basins Strahler, aggregated from a Strahler order criterion and the natural sub-basins, aggregated from a main affluent criterion. Both apportion functional RBDs. The tables are C_B, the catchments that empty on a se-shore (as the seas from SeaVox, care taken of islands: e.g. England and France vs. British Channel are different C_B, despite same sea shore) RBD_Int_clp are the RBDs, dissolved as international RBDs; C_FRBD functional RBDs C_SS: sub-basins based on Strahler definition, C_SB: sub-basins natural C_NUTS: harmonised table of “pseudo nuts” used to document FECs (largest share of FEC in a NUT). NUT level has been selected to match best French NUTS2, making appropriate aggregate in those countries not using the NUTs classification; C_try: delineation of countries to which FECs have been set. The ID of each feature in each feature class are those in the C_Zhyd table of EcrFEC. Full documentation is in EEA technical report 9/2012, downloadable from the EEA website.	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5fd67b22-2e7e-445c-b466-a0faa842001a.png	EPSG:3035	2019-06-04	None	None	hydrography	vector	PGeo	None	1:250000	None	To be completed	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5fd67b22-2e7e-445c-b466-a0faa842001a	1990	2006	TRUE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_ecrins-agg-catch_1990-2006_rev01	None	None
19cff95e-61ac-45ed-8ee3-c43220d709cf	None	EU-DEM (raster) - version 1.0, Apr. 2016	None	None	None	None	None	EU-DEM v1.0 is a digital surface model (DSM) representing the first surface as illuminated by the sensors. It is a hybrid product based on SRTM and ASTER GDEM data fused by a weighted averaging approach and generated as a contiguous dataset divided into 1 degree by 1 degree tiles, corresponding to the SRTM naming convention. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08. These tiles have then been aggregated into 5°x5° tiles which have been projected to ETRS-LAEA by the Joint Research Centre (JRC) of the European Commission. The implementation of EU-DEM v1.0 was coordinated by the European Commission in 2009-2011 in the framework of the Reference Data Access (RDA) Action of the EU GMES/Copernicus programme.	https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/eu-dem-v1.0/view	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/19cff95e-61ac-45ed-8ee3-c43220d709cf.png	EPSG:3035	2019-06-04	None	None	digital land model|land cover|land use|landscape alteration	grid	GTiff	None	25m	None	The EU-DEM v1.0 is derived from an automated data fusion process using SRTM and ASTER GDEM digital surface model (DSM) data. Intermap's NEXTMap Europe dataset is utilized to remove any consistent horizontal bias in the GDEM data. The EU-DEM v1.0 is edited to ensure that water features are adequately represented and consistent with the hydrography layer. Residual clouds within the GDEM data are identified and removed same as suspect data extremely differing from the SRTM data. All EU-DEM tiles are edited interactively in a 3D stereo environment. The editing is restricted to the hydrographical features and pits and bumps. In areas above 60 degrees North, the EU-DEM generation process is supported by other DEM data sources provided by the JRC. Water features are flattened (oceans, lakes) and stepped (rivers) based on the hydrography data. The spatial reference system is geographic, lat/lon with horizontal datum ETRS89, ellipsoid GRS80 and vertical datum EVRS2000 with geoid EGG08.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/19cff95e-61ac-45ed-8ee3-c43220d709cf	2000	2000	FALSE	Elevation|geospatial data|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_25_m_eu-dem_2000_rev1-0	None	None
cc8760bd-58d5-4aca-b3bb-cae933cc80e7	None	Soil maps of European Food Agency Data (EFSA), water content at field capacity of the topsoil - version 1.0, Oct. 2010	None	None	None	None	None	In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. This dataset contains the topsoil water content at field capacity expressed in m^3 m^-3. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc8760bd-58d5-4aca-b3bb-cae933cc80e7.png	EPSG:3035	2019-06-04	None	None	soil|water (geographic)	grid	AAIGrid	None	1000m	None	Refer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc8760bd-58d5-4aca-b3bb-cae933cc80e7	2008	2009	TRUE	Soil	Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html Notification regarding these data: 1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. 2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. 3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. 4.The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : 1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_efsa-soil-maps-thetafc_2008-2009_rev01	None	None
299482e6-917d-41a7-861b-73289a37b809	None	EUNIS habitat type F3-1h distribution based on vegetation plot data - version 1, June 2016	None	None	None	None	None	The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	https://www.eea.europa.eu/data-and-maps/data/predicted-habitat-suitability-for-eunis	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/F3-1h_dist_edt1.png	EPSG:3035	2019-06-04	None	None	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/299482e6-917d-41a7-861b-73289a37b809	1940	2011	TRUE	Europe|Habitats and biotopes	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f3-1h_1940-2011_rev01	None	None
08e7b052-3c4c-4545-943f-63db46be0a66	None	European soil database (ESDB), Dominant value rasters - version 2.0, May 2006	None	None	None	None	None	The European Soil Database (ESDB) contains four discrete datasets: - the Soil Geographical Database of Eurasia at scale 1:1,000,000 (SGDBE) - the Pedotransfer Rules Database (PTRDB) - the Soil Profile Analytical Database of Europa (SPADBE) - the Database of Hydraulic Properties of European Soils (HYPRES) This 1km x 1km raster version release of the database is freely available to the public and contains a 1km raster version of the vector based soil geometry (which is part of the SGDBE). Raster values have been derived using the "features to raster" tool in the Spatial Analyst extension of ArcGIS, the feature layer being a shapefile created from the SGDBE geometrical database to which attributes from SGDBE and PTRDB have been linked according to the "dominant value" principle for the "dominant value" rasters. Dominant Value principle: For each SMU (Soil Mapping Unit) and for a soil attribute P: the value of P is the class value that appears most within the SMU, i.e. each SMU is fully coloured with the colour assigned to the attribute class which is dominant within each SMU. The attributes are described at: http://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/SG_attr.htm http://eusoils.jrc.ec.europa.eu/ESDB_Archive/raster_archive/pt_attr.htm This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/08e7b052-3c4c-4545-943f-63db46be0a66.png	EPSG:3035	2019-06-04	None	None	Soil	grid	AAIGrid	None	1000m	None	Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDB_data_1k_raster_intro/ESDB_1k_raster_data_intro.html	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/08e7b052-3c4c-4545-943f-63db46be0a66	2001	2006	TRUE	Soil	Notification regarding these data: The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006. Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_esdb-dom-val_2001-2006_rev02	None	None
bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc	None	Soil maps of European Food Agency Data (EFSA), pH of the topsoil - version 1.0, Oct. 2010	None	None	None	None	None	In the context of Service Level Agreement between JRC and EFSA, a series of datasets have been developed as support to the FATE and the ECOREGION EFSA PPR Working Groups. This dataset contains the topsoil pH. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc.png	EPSG:3035	2019-06-04	None	None	pH-value|soil	grid	AAIGrid	None	1000m	None	Refer to the JRC Technical Report entitled "EFSA Spatial Data Version 1.1 - Data Properties and Processing" [http://publications.jrc.ec.europa.eu/repository/handle/111111111/26754].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bd74cfd5-9d4d-44c9-9ef9-67279c10e2fc	2008	2009	TRUE	Soil	Conditions on use are available at http://eusoils.jrc.ec.europa.eu/library/Data/_Datarequest/efsa.html Notification regarding these data: 1.The data produced in EFSA Project are made available for research and development purposes. Preparation of applications for regulatory purposes are considered as a development purposes. 2.The data released, produced in EFSA Project, were elaborated by Joint Research Centre of the European Commission (JRC) and by the experts of EFSA PPR FATE Working Group(WG), through the processing of data available at the European Soil Data Centre (ESDAC), Harmonized World Soil Database, Worldclim database, Capri database. The data are the result of a JRC internal research activity and of the PPR WG experts activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. 3.The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. An exception to this is when the data is use for preparation of applications for regulatory purposes where the data may be submitted to EFSA and competent regulatory bodies. 4.The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : 1.Gardi, C., Panagos, P., Hiederer, R., Montanarella, L., Micale, F. Report on the Activities Realized in 2010 within the Service Level Agreement between JRC and EFSA, as a Support of the FATE and ECOREGION Working Groups of EFSA PPR. Publications Office of the European Union EUR 24744, ISBN: 978-92-79-19521-1 , DOI: 10.2788/61018 2.Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_efsa-soil-maps-ph_2008-2009_rev01	None	None
4a77ed8d-7076-4ff0-9600-224ad48754ac	None	Corine Land Cover 2006 - 2012 changes (raster 250m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4a77ed8d-7076-4ff0-9600-224ad48754ac.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4a77ed8d-7076-4ff0-9600-224ad48754ac	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clcc_2006-2012_rev18	None	None
e70024f0-350a-452f-875c-fcd960c4af87	None	Corine Land Cover 2012 (raster 250m) - version 18, Sep. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e70024f0-350a-452f-875c-fcd960c4af87.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e70024f0-350a-452f-875c-fcd960c4af87	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clc_2011-2012_rev18	None	None
5d2e8632-245e-41ad-9a7b-be78f4f4597d	None	Assessment of contamination status using CHASE+ excluding metals, Mar. 2019	None	None	None	None	None	This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices ‘water’, ‘sediment’ and ‘biota’ and indicators of ‘biological effects’, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. This is the assessment made excluding concentrations of metals. The overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included. This dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5d2e8632-245e-41ad-9a7b-be78f4f4597d.png	EPSG:3035	2019-06-04	None	None	contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water	vector	SHP	None	20km	None	This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification — the 'one-out, all-out' principle. Based on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids. More information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5d2e8632-245e-41ad-9a7b-be78f4f4597d	None	None	FALSE	Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_20_km_chase-exclmetals_p_2009-2016_v01_r00	None	None
4b6d6179-c0a0-4f6d-9ed4-4454b4895ce2	None	Corine Land Cover 2000 (raster 100m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4b6d6179-c0a0-4f6d-9ed4-4454b4895ce2.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4b6d6179-c0a0-4f6d-9ed4-4454b4895ce2	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clc_1999-2001_rev18	None	None
1dcfa016-e904-410d-ab57-1ba1607a4587	None	Corine Land Cover 2000 - 2006 changes (raster 100m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1dcfa016-e904-410d-ab57-1ba1607a4587.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1dcfa016-e904-410d-ab57-1ba1607a4587	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clcc_2000-2006_rev18	None	None
23b14f13-a4bb-498b-a99c-2bed6d644a96	None	Corine Land Cover 1990 - 2000 changes (vector) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/23b14f13-a4bb-498b-a99c-2bed6d644a96.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/23b14f13-a4bb-498b-a99c-2bed6d644a96	None	None	FALSE	Land cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clcc_1986-2001_rev18	None	None
5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc	None	Potential quiet areas in Europe, based upon Quietness Suitability Index (QSI) and Natura 2000 protected areas, Jul. 2016	None	None	None	None	None	Within the European Union, the Environmental Noise Directive (END; 2002/49/EC) defines quiet areas outside cities as those areas delimited by national authorities that are undisturbed by noise from traffic, industry or recreational activities. In this dataset, two datasets has been brought together to visualize how human made noise have an impact on nature protected areas: the Natura2000 dataset and the quietness suitable index dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc.png	EPSG:3035	2019-06-19	None	None	noise|protected area	grid	FGeo	None	100m	None	Calculation and intersections of layers: 1. Calculation of QSI for european countries. 2. Intersection with Natura 2000 protected areas. Data sources: - END: major roads, major railways and major airports noise contour maps (2012) - END: location of major roads and major railways and major airports - Urban morphological zones (UMZ) from CLC 2006 - E-PRTR register: industries' location and attributes: Europe-wide register that provides easily accessible key environmental data from industrial facilities in European Union Member States and in Iceland, Liechtenstein, Norway, Serbia and Switzerland. It replaced and improved upon the previous European Pollutant Emission Register (EPER). Access 2014. - Corine Land Cover and Land Use data 2006 (CLC) (100 × 100 m grid) - Corine Land Cover 2000 for Greece - EuroRegionalMap v. 6.0: roads, railways and airports infrastructure. (Version 6.0, 18.12.2012) - Natura 2000 - The population of each UMZ in 2000 (year of reference) was added by using the last version (v. 5) of the population density grid constructed by the European Commission research centre (Gallego, 2010). Raster data on population density using Corine Land Cover 2000 inventory.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f48b250-1c1d-4f0c-a2cd-a8c44e42b1dc	2016	2016	FALSE	EEA33	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_quietareas-qsi-n2k_p_2016_v01_r00	None	None
0f5f5180-8546-4bc9-979f-3039e850f23a	None	Assessment of contamination status using CHASE+ excluding PBDEs, Mar. 2019	None	None	None	None	None	This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices ‘water’, ‘sediment’ and ‘biota’ and indicators of ‘biological effects’, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. This is the assessment made excluding concentrations of polybrominated diphenyl ethers (PBDEs) The overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included. This dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f5f5180-8546-4bc9-979f-3039e850f23a.png	EPSG:3035	2019-06-04	None	None	contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water	vector	SHP	None	20km	None	This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification — the 'one-out, all-out' principle. Based on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids. More information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f5f5180-8546-4bc9-979f-3039e850f23a	2009	2016	TRUE	Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_20_km_chase-exclpbdes_p_2009-2016_v01_r00	None	None
b5ec412d-551d-46e5-8516-2ddb12969f6e	None	Corine Land Cover 1990 (raster 100m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b5ec412d-551d-46e5-8516-2ddb12969f6e.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b5ec412d-551d-46e5-8516-2ddb12969f6e	1986	1998	TRUE	Land cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clc_1986-1998_rev18	None	None
c20e2810-f274-40bf-ade9-a1e9d096f3ab	None	Corine Land Cover 1990 (raster 250m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c20e2810-f274-40bf-ade9-a1e9d096f3ab.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c20e2810-f274-40bf-ade9-a1e9d096f3ab	1986	1998	TRUE	Land cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clc_1986-1998_rev18	None	None
51269dee-1b62-48e3-8945-256b8aae0394	None	Corine Land Cover 1990 - 2000 changes (raster 100m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/51269dee-1b62-48e3-8945-256b8aae0394.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51269dee-1b62-48e3-8945-256b8aae0394	1986	2001	TRUE	Land cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clcc_1986-2001_rev18	None	None
2bf95800-8b2e-4edf-9a45-05860300f002	None	Assessment of contamination status using CHASE+ excluding mercury (Hg), Mar. 2019	None	None	None	None	None	This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices ‘water’, ‘sediment’ and ‘biota’ and indicators of ‘biological effects’, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. This is the assessment made excluding concentrations of mercury (Hg). The overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included. This dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2bf95800-8b2e-4edf-9a45-05860300f002.png	EPSG:3035	2019-06-04	None	None	contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water	vector	SHP	None	20km	None	This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification — the 'one-out, all-out' principle. Based on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids. More information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2bf95800-8b2e-4edf-9a45-05860300f002	2009	2016	TRUE	Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_20_km_chase-exclhg_p_2009-2016_v01_r00	None	None
9a265467-65a6-4aaf-a56e-0afbe432ed8c	None	Corine Land Cover 2000 - 2006 changes (vector) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9a265467-65a6-4aaf-a56e-0afbe432ed8c.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9a265467-65a6-4aaf-a56e-0afbe432ed8c	2000	2006	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clcc_2000-2006_rev18	None	None
48545018-0505-494c-9ee1-d9ae792d4cf8	None	European catchments and Rivers network system (Ecrins), natural sub basins of Europe - version 0, Dec. 2011	None	None	None	None	None	The natural sub basins of Europe is a feature dataset which subdivides natural basins bigger than 40,000 square Kilometres into sub catchments of a surface between 10,000 square Kilometres and 40,000 square Kilometres. Sub basins are defined using the catchment area of big tributaries as much as possible, and subdividing the main course of the river into upper, medium, and lower parts of the basin. The target is having a spatially homogeneous, but still with hydrological meaning units. These subdivisions are nested when river basins are big and tributaries drain a surface bigger than 40,000 square Kilometres, which in the case of Danube and Volga makes up to 3 levels of sub basins.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/48545018-0505-494c-9ee1-d9ae792d4cf8.png	EPSG:3035	2019-06-04	None	None	hydrography	vector	SHP	None	1:250000	None	The natural sub basins layer is derived from ECRINS FECs. The process for creating them consists of a semi-automated procedure by which first FECs belonging to basins bigger than 40,000 square Kilometres are selected. Inside that basin, tributaries to the main river with a drainage surface bigger than 10,000 square Kilometres are taken as separate sub basins. If the area of an individual sub basin is bigger than 40,000 square Kilometres, then it is further subdivided as a normal basin. This loop continues until there is no tributary left with a surface bigger than 40,000 square Kilometres. In big river basins, nested subdivisions occur when the resulting sub basin divided using main tributaries happen to be bigger than 40,000 square Kilometres. The main course of the river after removing tributaries can still have a surface bigger than 40,000 square Kilometres. In such case, it is further subdivided by manually selecting the last FEC downstream of the upper sub basin. The selection is made taking into consideration the shape of the basin, the proximity of other subdivision because of big tributaries, the presence of tributaries below the 10,000 square Kilometres threshold, and the surface upstream not being subdivided yet to be bigger than 10,000 and smaller than 40,000 square Kilometres. This classification is done editing FECs’ attribute SB. After that they are dissolved with multipart option, and using the field SB, into the sub basins.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/48545018-0505-494c-9ee1-d9ae792d4cf8	1990	2006	TRUE	Hydrography	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_ecrins-sub-basins_1990-2006_rev00	None	None
24d14e26-4911-4afe-8df2-a73a11cb7270	None	Corine Land Cover 2006 - 2012 changes (vector) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/24d14e26-4911-4afe-8df2-a73a11cb7270.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/24d14e26-4911-4afe-8df2-a73a11cb7270	2006	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clcc_2006-2012_rev18	None	None
665eca9a-f502-44cb-8a6d-53b267ea9856	None	Corine Land Cover 2006 (raster 100m) - version 18, Sep. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/665eca9a-f502-44cb-8a6d-53b267ea9856.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/665eca9a-f502-44cb-8a6d-53b267ea9856	2005	2007	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clc_2005-2007_rev18	None	None
ff21ade0-a714-4725-86bb-279ee7a8a73e	None	Corine Land Cover 2012 (raster 100m) - version 18, Sep. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ff21ade0-a714-4725-86bb-279ee7a8a73e.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ff21ade0-a714-4725-86bb-279ee7a8a73e	2011	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_clc_2011-2012_rev18	None	None
8e7b1303-974d-49ac-959d-a2527a844561	None	Corine Land Cover 2012 (vector) - version 18, Sep. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8e7b1303-974d-49ac-959d-a2527a844561.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8e7b1303-974d-49ac-959d-a2527a844561	2011	2012	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clc_2011-2012_rev18	None	None
02f21b43-055f-4423-943d-c68399424810	None	Corine Land Cover 2006 (raster 250m) - version 18, Sep. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/02f21b43-055f-4423-943d-c68399424810.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/02f21b43-055f-4423-943d-c68399424810	2005	2007	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clc_2005-2007_rev18	None	None
3feffd63-ab0b-4f03-84e8-b2c324c93bbe	None	Assessment of contamination status using CHASE+, Mar. 2019	None	None	None	None	None	This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices ‘water’, ‘sediment’ and ‘biota’ and indicators of ‘biological effects’, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. The overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included. This dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/3feffd63-ab0b-4f03-84e8-b2c324c93bbe.png	EPSG:3035	2019-06-04	None	None	contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water	vector	SHP	None	20km	None	This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification — the 'one-out, all-out' principle. Based on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids. More information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/3feffd63-ab0b-4f03-84e8-b2c324c93bbe	2009	2016	TRUE	Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_20_km_chase_p_2009-2016_v01_r00	None	None
234f10a8-89c8-4439-850a-cfb0f86a61ae	None	Corine Land Cover 2000 (raster 250m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/234f10a8-89c8-4439-850a-cfb0f86a61ae.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/234f10a8-89c8-4439-850a-cfb0f86a61ae	1999	2001	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clc_1999-2001_rev18	None	None
6f56f664-f28a-47c9-a711-6dd344618b6d	None	Corine Land Cover 1990 European (vector) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6f56f664-f28a-47c9-a711-6dd344618b6d.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6f56f664-f28a-47c9-a711-6dd344618b6d	1986	1998	TRUE	Land cover|Austria|Belgium|Bulgaria|Croatia|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clc_1986-1998_rev18	None	None
50240990-015a-47f0-863b-b131412c9047	None	Corine Land Cover 2000 (vector) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/50240990-015a-47f0-863b-b131412c9047.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	vector	FGeo|Spatialite	None	100m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Minimum Mapping Width: 100 m Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/50240990-015a-47f0-863b-b131412c9047	1999	2001	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_100_m_clc_1999-2001_rev18	None	None
169c01a3-6b84-4326-a9d6-352b22ab4921	None	Corine Land Cover 2000 - 2006 changes (raster 250m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/169c01a3-6b84-4326-a9d6-352b22ab4921.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/169c01a3-6b84-4326-a9d6-352b22ab4921	2000	2006	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clcc_2000-2006_rev18	None	None
5cd50c71-54af-47e5-8efd-9bb9fee21772	None	Corine Land Cover 1990 - 2000 changes (raster 250m) - version 18, Mar. 2016	None	None	None	None	None	CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5cd50c71-54af-47e5-8efd-9bb9fee21772.png	EPSG:3035	2019-06-04	None	None	land cover|land use|landscape|landscape alteration	grid	GTiff	None	250m	None	Version 18 (V18) Release date: 19-09-2016 (see V18_5_1) Main purpose of the release: Publication of the final, corrected CLC 2012 data. The 4th CLC inventory for the reference year of 2012 was produced under the Copernicus Initial Operations (GIO). It has the shortest production time in history of CLC. Two high-resolution satellite image coverages (IRS Resourcesat-1/2, SPOT-4/5, RapidEye constellation) taken in 2011-2012 provided multi-temporal information to support the update. Computer Assisted Photointerpretation (CAPI) was the prevailing methodology applied in interpreting of satellite images. FI, DE, IC, IE, NO, ES and SE applied a semi-automatic methodology. UK has turned from semiautomatic processing to CAPI because no national hi-res dataset was available for 2012. Most of the QC was conducted in remote verifications. IT and ES were verified by regions. In producing the European products, a simplified border matching was applied (see Version 15). An independent validation of CLC and CLCC for CLC 2012 was carried out in 2016 and the results are available at http://land.copernicus.eu/user-corner/technical-library/clc-2012-validation-report-1. Changes from previous main release (Version 17): • Inclusion of CLC 2012 layers for all the EEA39 countries. • Production of CLC 2006 for Greece (in V18_3) and all CLCs for Channel Islands (V18_1). • Revised CLC 2000 and CLC 2006 layers were made available (V18_5). • Change in rasterization algorithm (V18_2). Known problems: • Some redundant lines between neighbouring polygons with the same code are still present, but only as result of persisting ‘adaptive tilling’ procedure (limitation of ESRI ArcGIS technology for large datasets). • Polygons <25 ha can be present along national borders and along 'adaptive tilling' tiles boundaries. See http://land.copernicus.eu/user-corner/technical-library/clc-country-coverage-v18.5 for full information about the coverage of this version. See http://land.copernicus.eu/user-corner/technical-library/clc-and-clcc-release-lineage for full information about all sub-versions of this version. Version 17 (V17) Release date: 02-12-2013 Main purpose of the release: Maintenance / Increased European coverage of CLC time series data. Changes from previous release (V16): • Full CLC and CLCC data time series (from CLC 1990 to CLC 2006 including all CLCC datasets) has been included for the Autonomous Region of the Azores (PT). Version 16 (V16) Release date: 15-04-2012 Main purpose: Maintenance / Increased and improved European coverage of CLC time series data. Changes from previous release (V15): • CLC 1990 coverage: TR has been delivered CLC 1990 and CLCC (1990, 2000) data. Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, UK and the XK. • CLC 2000_revised layer covering 27 countries was included (CLC 2000 data revised during production of CLC 2006). • Shift in MT geographic position has been corrected. All CLC layers for MT have been re-projected. • A few coding inconsistences were corrected. Version 15 (V5) Release date: 20-07-2011 Main purpose: Publication of final CLC2 006 data. The 3rd CLC inventory for the reference year of 2006 was produced under GMES Fast Track Service on Land Monitoring. The CLCC database was considered as the primary product, and a uniform change mapping methodology was agreed. Dual date satellite imagery (SPOT-4/5 and IRS P6) taken in 2005-2007 provided enhanced change mapping capabilities. Some of the countries newly entering CLC have produced CLC 2000 datasets also during the project time frame. Scanned topographic maps and digital aerial ortho-imagery have become commonly available. CAPI was the prevailing method applied in interpreting of satellite images. Nevertheless, FI, IS, NO, SE and the UK applied a semiautomatic methodology. Most of the European QC was conducted by visiting national teams (see Version 2). In some cases, remote verification was applied (without mission to countries). ES and IT were verified by regions. Changes from previous release (V14 (V4)): • CLC 2006 data covering Great Britain (part of UK) and TR were delivered. Thus, CLC 2006 European coverage includes 38 countries of the EEA39. Still missing CLC 2006 data for Greece. • A simplified border matching was applied for countries new in CLC: XK, NO, CH and Turkey: 1) <25 ha polygons along the borders are not removed systematically; 2) sliver-like polygons (area < cca. 5 ha) are generalised to largest or thematically most similar neighbour. • For the rest of CLC 2006 countries a simple border-matching was applied. Code differences along two sides of borders are not changed. Only polygons with area ≤ 0,1 ha (sliver polygons) are eliminated. • Data dissemination: CLC data become freely accessible from the EEA to any person or legal entity. Version 14 (V4) Release date: 25-10-2010 Main purpose: Maintenance / Increased European coverage of CLC 2006 and CLC 2000 data. Changes from previous release (V13 (V3)): • CLC 2006 European coverage includes 37 full countries of EEA39. New data for Northern Ireland (part of the UK), Madeira Islands (part of PT), CH, IS and TR were added to CLC 2006 data. Still missing CLC 2006: GR and the UK (except Northern Ireland). • New data for Madeira Islands (PT), CH and IS were added into the European CLC 2000 coverage, which includes already the EE39. However, CLCC (1990, 2000) is available for 28 countries only. • New data for Madeira Islands (PT) were added into CLC 1990 and CLCC (1990, 2000). Still missing CLC 1990 data: AL, BA, CH, CY, FI, IS, MK, NO, SE, TR, UK and XK. The seamless European database has been further improved addressing feedback from the EEA on V13 (V3): • No-data buffer (code 999) outside of valid data area was deleted. • Small gaps identified in V13 were corrected by tolerance adaptation in ArcGIS v10 geodatabase. • Remaining neighbour polygons with the same code were resolved by additional dissolve operation. Version 13 (V3) Release date: 02/2010 Main purpose: Publication of initial European coverage of CLC 2006 data. Changes from previous release (V2): • Version numbering was changed to harmonise vector data (V3) and derived raster data (V13) releases. • First seamless release in ESRI Geodatabase format. • Initial coverage of CLC 2006 including 35 countries and Northern Ireland (part of the UK). Missing countries in CLC 2006: GR, CH, TR and the UK (except Northern Ireland). • Two updates added to CLC 2000: a new version for NO and the first CLC dataset for TR. • Sea buffer around land has been introduced (15 km as proxy to 12 nautical miles’ sea zone). Version 2 (V2) Release date: 09/2009 Main purpose: Publication of final CLC 2000 coverages. The 2nd CLC inventory for the reference year of 2000 (CLC 2000) was carried out in the frames of I&CLC 2000 project. A single date Landsat-7 ETM satellite imagery taken in 1999-2001 was provided by JRC. The technology of drawing the interpretation on transparencies was discarded and replaced by CAPI (computer-assisted photo-interpretation). Prior to mapping changes CLC 1990 data had to be corrected: 1) bulk geometric mistakes removed and residual geometric errors >100 m and coding mistakes were corrected; 2) polygons smaller than the 25 ha MMU were generalised. European QC was conducted by visiting national teams (usually at the start and towards the end of the project). Computer-assisted verification has provided written, geo-located explanations regarding the mistakes and supported harmonized production of the database all over Europe. Changes from previous release (V1): • It was to deliver a single seamless layer, but was not feasible in ESRI environment. Therefore, seamless ESRI ArcInfo Librarian map tiles were produced again (but free of tiling artefacts reported in V1). • New country deliveries integrated into European CLC 2000 ME, RS (incl. XK), IS and NO. Simple harmonization along national borders of these countries was done (small artefacts cleaned only). • CLC 2000 data for MT have been updated to reflect changed geometry in CLC 2006 delivery. • The dissemination and use of products was defined in an agreement between the EEA, the EC and the participating countries. Version 1 (V1) Release date: 08/2005 Main purpose: Publication of initial European coverage of CLC 2000 and CLCC (1990, 2000) data. Changes from previous release (V0): • The first consolidated version of European CLC data have been produced as integrated and harmonised seamless layer in ESRI ArcInfo Workstation Librarian map tiles. • The production of the first CLCC database has started, but no consolidated methodology was available. • Initial CLC 2000 coverage included 32 countries: AL, AT, BE, BA, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LV, LI, LT, LU, MK, MT, NL, PL, PT, RO, SI, SK, SE and the UK. Missing countries in CLC 2000: CH, IS, ME, NO, RS (including XK) and TR. • CLC 1990 for most of the countries has been replaced by revised CLC 1990. Some additional countries have produced CLC 1990. Still missing in CLC 1990 European coverage: CY, LI, MT, SE and UK. • Full harmonization (visual re-interpretation by keeping the 25 ha MMU) inside a 5-km wide strip along national borders was done including 32 countries for CLC 2000 and 24 countries for CLCC (1990, 2000). • Semi-automatic harmonisation of 2-km wide strip along national borders was done for CLC 1990. • Vector to raster conversion: “cell centre” method was applied. • The 25 ha MMU is considered as hard limit. Polygons <25 ha were generalised. • Dual ownership of CLC and CLCC data (EEA and the country) was introduced. Version 0 (V0) Release dates: up to 12/2000 Main purpose: Distribution of country-level CLC 1990 data and creation of European raster products. The period of the first CLC inventory was rather long (1985-1996) and 1990 is considered as reference year. CLC 1990 data delivered by countries became part of GISCO database. Releases were provided bi-annually. Following political changes in Central and Eastern Europe 10 additional countries joined. The methodology was visual photointerpretation by drawing the CLC map on transparency, placed on top of satellite image hardcopy at scale 1:100.000. • CLC 1990 vector and raster data were initially available for 12 countries: AT, BE, DE, DK, ES, FR, GR, IE, IT, LU, NL and PT. Raster only data were available for FI and UK. • The EC Phare programme supported the implementation of CLC 1990 in 11 countries of Central and Eastern Europe between 1992 and 1998: BG, CZ and SK, EE, LV, LT, HU, PL, RO and SI. • Integrated European vector dataset was available as ESRI ArcInfo Librarian and derived raster products as ESRI grids in 100m and 250m resolution. • Data dissemination policy was unclear.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5cd50c71-54af-47e5-8efd-9bb9fee21772	1986	2001	TRUE	Land cover|Austria|Belgium|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|France|Germany|Greece|Hungary|Ireland|Italy|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Montenegro|Netherlands|Poland|Portugal|Romania|Serbia|Slovakia|Slovenia|Spain|Turkey	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_250_m_clcc_1986-2001_rev18	None	None
fc018b57-05ba-4692-b96b-809983a3a983	None	Assessment of contamination status using CHASE+ excluding mercury (Hg) and PBDEs, Mar. 2019	None	None	None	None	None	This dataset presents the resulting assessment grid (based on the EEA reference grid) with the classification of chemical status of the transitional, coastal and marine waters in the context of the Water Framework Directive (WFD) and the Marine Strategy Framework Directive (MSFD). This classification has been performed using the CHASE+ tool, with classifications of the matrices ‘water’, ‘sediment’ and ‘biota’ and indicators of ‘biological effects’, as well as an integrated classification of chemical status, combining results of all matrices. The chemical status is evaluated in five classes, where NPAhigh and NPAgood are recognised as ‘non-problem areas’ and PAmoderate, PApoor and PAbad are recognised as ‘problem areas’. This is the assessment made excluding concentrations of mercury (Hg) and polybrominated diphenyl ethers (PBDEs) The overall area of interest used is based on the marine regions and subregions under the Marine Strategy Framework Directive. Additionally, Norwegian (Barent Sea and Norwegian Sea) and Icelandic waters (’Iceland Sea’) have been added (see Surrounding seas of Europe). Note that within the North East Atlantic region only the subregions within EEZ boundaries (~200 nm) have been included. This dataset underpins the findings and cartographic representations published in the report "Contaminants in Europe's Seas" (EEA, 2019).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fc018b57-05ba-4692-b96b-809983a3a983.png	EPSG:3035	2019-06-04	None	None	contamination|environmental quality|environmentally dangerous substance|good chemical status|indicator-based assessment|marine biota|marine sediment|sea|sea water	vector	SHP	None	20km	None	This assessment is based on data on contaminants, monitored in transitional, coastal and marine waters in the context of the WFD and the MSFD. The part of reported data from water, sediment and biota, as well as the information about biological effects, are derived from the DOME data portal of the International Council for the Exploration of the Sea (ICES). Other key data sources are data reported under the European Environment Information and Observation Network (Eionet), EMODnet Chemistry (the Baltic Sea and the Black Sea) and the EMBLAS project (Black Sea). In addition, France and Portugal have made new data sets available. For this analysis, Europe's seas were divided into grid cells of 20 × 20 km2 in coastal waters and 100 × 100 km2 in offshore areas. The CHASE+ methodology is a simple five-step procedure applied in every assessment unit. The five steps are: Step (1): substances/indicators are grouped into four categories (C1: water; C2: sediment; C3: biota, C4: biological effects). Step (2): for each individual substance/indicator, a contaminant ratio (CR = Cstatus/Cthreshold) is calculated. Step (3): for categories C1-3, a contamination score (CS) is calculated. Step (4): each category is subdivided into five status classes with class boundaries: 0.0-0.5 (NPAhigh), 0.5-1.0 (NPAgood), 1.0-5.0 (PAmoderate), 5.0-10.0 (PApoor) and > 10.0 (PAbad). Step (5): category-specific classifications are subsequently combined for each assessment unit into an integrated classification of 'non-problem area' (NPA) or 'problem area' (PA) by using the worst classification — the 'one-out, all-out' principle. Based on the EEA reference grid, two grids have been developed covering the Marine Regions and Sub-regions of Europe. The first grid 100x100 km cell is used in offshore areas (> 20 km from the coastline); the second grid 20x20 km covers the coastal areas (<= 20 km from the coastline). The grid sizes were chosen after an evaluation of data availability versus the need for sufficient detail in the resulting assessment. Each cell in the grids has a unique identification defined from the lower left UTM coordinates. The CHASE+ results are associated to the unique cells in the grids. More information can be found in the report "Contaminants in Europe's seas" and online material on https://www.eea.europa.eu/publications/contaminants-in-europes-seas/.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc018b57-05ba-4692-b96b-809983a3a983	2009	2016	TRUE	Adriatic Sea|Aegean Sea|Baltic Sea|Barents Sea|Bay of Biscay|Black Sea|Celtic Sea|English Channel|Iceland Sea|Ionian Sea|Kattegat|Mediterranean Sea|North Sea|Norwegian Sea	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_20_km_chase-exclhgpbdes_p_2009-2016_v01_r00	None	None
9b099df4-16be-4937-a76d-e52616341961	None	European Soil Database (ESDB) - version 2.0, Sep. 2001	None	None	None	None	None	The Soil Geographical Database of Eurasia at Scale 1:1,000,000 is part of the European Soil Informaton System (EUSIS). It is the resulting product of a collaborative project involving all the European Union and neighbouring countries. It is a simplified representation of the diversity and spatial variability of the soil coverage. The methodology used to differentiate and name the main soil types is based on the terminology of the F.A.O. legend for the Soil Map of the World at Scale 1:5,000,000. This terminology has been refined and adapted to take account of the specificities of the landscapes in Europa. It is itself founded on the distinction of the main pedogenetic processes leading to soil differentiation: brunification, lessivage, podzolisation, hydromorphy, etc. The database contains a list of Soil Typological Units (STU). Besides the soil names they represent, these units are described by variables (attributes) specifying the nature and properties of the soils: for example the texture, the water regime, the stoniness, etc. The geographical representation was chosen at a scale corresponding to the 1:1,000,000. At this scale, it is not feasible to delineate the STUs. Therefore they are grouped into Soil Mapping Units (SMU) to form soil associations and to illustrate the functioning of pedological systems within the landscapes. Harmonisation of the soil data from the member countries is based on a dictionary giving the definition for each occurrence of the variables. Considering the scale, the precision of the variables is weak. Furthermore these variables were estimated over large areas by expert judgement rather than measured on local soil samples. This expertise results from synthesis and generalisation tasks of national or regional maps published at more detailed scales, for example 1:50,000 or 1:25,000 scales. Delineation of the Soil Mapping Units is also the result of expertise and experience. Heterogeneity can be considerable in European regions. The spatial variability of soils is very important and is difficult to express at global levels of precision. Quality indices of the information (purity and confidence level) are included with the data in order to guide usage. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9b099df4-16be-4937-a76d-e52616341961.png	None	2019-06-04	None	None	Soil	vector	SHP	None	1:1000000	None	Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/ESDBv2/fr_intro.htm	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9b099df4-16be-4937-a76d-e52616341961	None	None	FALSE	Soil	Notification regarding these data: The ESDB data were developed in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The DG-JRC, on behalf of the Commission, and the European Soil Bureau Network, do not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The DG JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 ESDBv2 Raster Library - a set of rasters derived from the European Soil Database distribution v2.0 (published by the European Commission and the European Soil Bureau Network, CD-ROM, EUR 19945 EN); Marc Van Liedekerke, Arwyn Jones, Panos Panagos ; 2006. Panagos Panos. The European soil database (2006) GEO: connexion, 5 (7), pp. 32-33.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_v_3035_1_mio_esdb_1980-1996_rev2	None	None
1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4	None	Global Soil Organic Carbon Estimates in topsoil (5 arcmin), Mar. 2012	None	None	None	None	None	Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data. This dataset contains the organic carbon density (t ha-1) for the topsoil (0 – 30cm) from the amended HWSD. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4.png	EPSG:4326	2019-06-04	None	None	organic carbon|soil	grid	RST	None	0.0833333333deg	None	Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 – 79 pp. – EUR 25225 EN – EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c5ad0a1-27bc-4ccf-b9e0-4d33fec003d4	None	None	FALSE	Soil	Notification regarding these data: The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra. The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_4326_5_arcmin_org-c-top_2009	None	None
7a9764ac-c2b4-4953-9ef0-969d621d4d9b	None	Arsenic (As) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total arsenic concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7a9764ac-c2b4-4953-9ef0-969d621d4d9b.png	EPSG:3035	2019-06-04	None	None	arsenic|concentration|heavy metal|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7a9764ac-c2b4-4953-9ef0-969d621d4d9b	None	None	FALSE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-as_1997-2007	None	None
830a4b29-388f-4406-ae8c-8ffcc8212041	None	Mercury (Hg) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total mercury concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/830a4b29-388f-4406-ae8c-8ffcc8212041.png	EPSG:3035	2019-06-04	None	None	concentration|heavy metal|mercury|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/830a4b29-388f-4406-ae8c-8ffcc8212041	None	None	FALSE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-hg_1997-2007	None	None
a0187284-86da-4d48-9c68-57fbbd62cc32	None	Global Soil Organic Carbon Estimates in topsoil (30 arcsec), Mar. 2012	None	None	None	None	None	Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data. This dataset contains the organic carbon density (t ha-1) for the topsoil (30 - 100cm) from the amended HWSD. The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a0187284-86da-4d48-9c68-57fbbd62cc32.png	EPSG:4326	2019-06-04	None	None	organic carbon|soil	grid	GTiff	None	0.00833333333deg	None	Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 – 79 pp. – EUR 25225 EN – EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf] The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0187284-86da-4d48-9c68-57fbbd62cc32	None	None	FALSE	Soil	Notification regarding these data: The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra. The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_4326_30_arcsec_org-c-top_2009	None	None
7e091972-c587-4cd7-b01e-7fd0e7aecf93	None	Nickel (Ni) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total nickel concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7e091972-c587-4cd7-b01e-7fd0e7aecf93.png	EPSG:3035	2019-06-04	None	None	concentration|heavy metal|nickel|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7e091972-c587-4cd7-b01e-7fd0e7aecf93	None	None	FALSE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-ni_1997-2007	None	None
2738bb1f-6b50-47e9-aba9-50157cb7228f	None	EU-Hydro Integrated Database (vector), Apr. 2016	None	None	None	None	None	EU-Hydro is a dataset for all EEA39 countries providing photo-interpreted river network, consistent of surface interpretation of water bodies (lakes and wide rivers), and a drainage model (also called Drainage Network), derived from EU-DEM, with catchments and drainage lines and nodes. The production of EU-Hydro public beta and the derived layers was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	https://land.copernicus.eu/imagery-in-situ/eu-hydro/eu-hydro-public-beta/integrated-eu-hydro-database-hydrographic-and-drainage-database/view	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2738bb1f-6b50-47e9-aba9-50157cb7228f.png	EPSG:3035	2019-06-04	None	None	catchment|drainage system|hydrographic network|landscape alteration|water body	vector	FGeo	None	1:50000	None	Space imagery SP05 (resolution 2.5 m) and SP06 (resolution 2.5 m), space imagery IMAGE2009 (resolution 20 m), EEA member countries WFD reporting data on water bodies: for Turkey (EEA member), Albania, Bosnia-Herzegovina, FYROM, Montenegro, Kosovo and Serbia (all EEA cooperating countries) no spatial data for any category of water bodies was available, European Catchments and Rivers Network System (ECRINS); ancillary data: European Lakes and Reservoirs database (Eldred), Russian topographic maps.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2738bb1f-6b50-47e9-aba9-50157cb7228f	None	None	FALSE	Hydrography|Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_50_k_hydrocl_2006-2012	None	None
dafcec7e-b3bb-4583-a6c7-e0b8ade20553	None	Soil erodibility (K-Factor), May 2011	None	None	None	None	None	One key parameter for soil erosion modelling is the soil erodibility, expressed as the K- factor in the commonly used soil erosion model USLE (Universal Soil Loss Equation). The K-factor is related to crucial soil factors triggering erosion (organic matter content, soil texture, soil structure, permeability). We calculated soil erodibility using measured soil data, collected during the 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign across the member states of the European Union. The estimation method of soil erodibility is based on the LUCAS point data. Since the density of points has a variety, we have performed a first assessment of Uncertainty based on the number of points in the 10km Grid Cell (dataset called uncertainty.tif available in the same folder as k-factor). Soil erodibility is expressed in [(t ha h)/(ha MJ mm)]. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/dafcec7e-b3bb-4583-a6c7-e0b8ade20553.png	EPSG:3035	2019-06-04	None	None	soil	grid	GTiff	None	10000m	None	Refer to http://eusoils.jrc.ec.europa.eu/library/themes/erosion/Erodibility/ and to Panagos, P., Meusburger, K., Alewell, C., Montanarella, L., Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, Volume 30, April 2012, Pages 143-145, doi:10.1016/j.envsoft.2011.11.002 [http://www.sciencedirect.com/science/article/pii/S1364815211002465].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/dafcec7e-b3bb-4583-a6c7-e0b8ade20553	2009	2009	FALSE	Soil	Notification regarding these data: The data provided has been prepared for use by internal research activities in the Land Management and Natural Hazards Unit of the Institute for Environment & Sustainability, JRC Ispra. The data produced in 2009 LUCAS (Land Use and Cover Area frame Survey) soil survey campaign and are made available for research and development purposes. The data were developed for research purposes in the SOIL Action of the Joint Research Centre. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above . The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos, P., Meusburger, K., Alewell, C., Montanarella, L. Soil erodibility estimation using LUCAS point survey data of Europe, Environmental Modelling & Software, Volume 30, April 2012, Pages 143-145, doi:10.1016/j.envsoft.2011.11.002 Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_10_km_esdb-k-factor_2009	None	None
68564428-c531-4e58-b170-c8286469f835	None	Saline and Sodic Soils in the European Union, Jan. 2008	None	None	None	None	None	The Saline and Sodic Soils Map shows the area distribution of saline, sodic and potentially salt affected areas within the European Union. The accuracy of input input data only allows the designation of salt affected areas with a limited level of reliability (e.g. < 50 or > 50% of the area); therefore the results represented in the map should only be used for orientating purposes. Two major data sources are available to delineate areas at risk of salt accumulation in Europe: The European Soil Database (ESDB, 2004) and the map of salt affected soils in Europe compiled by Szabolcs (1974). Szabolcs’ map was of pressing importance in the 1970s because the salinity and alkalinity of soils hindered the satisfactory agricultural utilisation of lands in many regions. To delineate an updated map of salt affected soils in Europe, items from the two databases were selected that have characteristics of salt affected or potentially salt effected soils. Potentially salt affected refers to soils that are at present not or to a very low degree saline or alkaline, but where human intervention (irrigation) may cause their considerable salinisation and/or alkanisation/sodification (Szabolcs, 1974). The information on salinity and alkalinity, available directly or through pedotransfer rules in the ESDB, is described in detail by Baruth et al. (2006). In the WRB (World Reference Base) soil names that give information about salinity are Solonchaks, "salic" soils, or "petrosalic" soils. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/68564428-c531-4e58-b170-c8286469f835.png	EPSG:3035	2019-06-04	None	None	alkali soil|soil|soil salination|soil salinity	vector	SHP	None	1:1000000	None	Refer to the document documentation/salinisation_methodology.pdf.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68564428-c531-4e58-b170-c8286469f835	1974	2004	TRUE	Soil	Notification regarding these data: The data of the "Map of Saline and Sodic Soils in the EU" are made available for research purposes only and not for any other activity. The data of the "Map of Saline and Sodic Soils in the EU" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 "Map of Saline and Sodic Soils in the EU", Gergely Toth, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_v_3035_1_mio_esdb-salinisation_1974-2004	None	None
20d94142-253b-467d-82dc-0bf13fba7e7e	None	Zinc (Zn) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total zinc concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/20d94142-253b-467d-82dc-0bf13fba7e7e.png	EPSG:3035	2019-06-04	None	None	concentration|heavy metal|soil|zinc	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/20d94142-253b-467d-82dc-0bf13fba7e7e	1997	2007	TRUE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-zn_1997-2007	None	None
fc54012e-439f-4009-94fc-328a1cf16812	None	Soil pH in Europe, Dec. 2009	None	None	None	None	None	The JRC created a quantitative map of estimated soil pH values across Europe from a compilation of 12,333 soil pH measurements from 11 different sources, and using a geo-statistical framework based on Regression-Kriging. Fifty-four (54) auxiliary variables in the form of raster maps at 1km resolution were used to explain the differences in the distribution of soil pHCaCl2 and the kriged map of the residuals from the regression model was added. The goodness of fit of the regression model was satisfactory (R2adj = 0.43) and its residuals follow a Gaussian distribution. The lowest values correspond to the soils developed on acid rock (granites, quartzite’s, sandstones, etc), while the higher values are related to the presence of calcareous sediments and basic rocks. The validation of the model shows that the model is quite accurate (R2adj = 0.56). This shows the validity of Regression-Kriging in the estimation of the distribution of soil properties when a large and adequately documented number of soil measurements are available. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fc54012e-439f-4009-94fc-328a1cf16812.png	EPSG:3035	2019-06-04	None	None	pH-value|soil|soil acidification	grid	AAIGrid	None	1000m	None	Refer to http://eusoils.jrc.ec.europa.eu/library/data/ph/ and to Böhner, J., Blaschke, T., Montanarella, L. [Eds.] (2008): SAGA – Seconds Out. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Vol.19, 113pp. [http://ignum.dl.sourceforge.net/project/saga-gis/SAGA%20-%20Documentation/HBPL19/hbpl19_10.pdf].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fc54012e-439f-4009-94fc-328a1cf16812	2009	2009	FALSE	Soil	Notification regarding these data: 1. The data of the "Map of Soil pH in Europe" are made available for research purposes only and not for any other activity. 2. The data of the "Map of Soil pH in Europe" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of data available at the European Soil Data Centre (ESDAC). The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 "Map of Soil pH in Europe", Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission – Joint Research Centre, 2010	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_esdb-ph_2009	None	None
87f24895-1ad9-478a-ad1c-c6c8468741b4	None	Lead (Pb) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total lead concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/87f24895-1ad9-478a-ad1c-c6c8468741b4.png	EPSG:3035	2019-06-04	None	None	concentration|heavy metal|lead|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/87f24895-1ad9-478a-ad1c-c6c8468741b4	1997	2007	TRUE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-pb_1997-2007	None	None
977c9f73-f532-405a-bb4f-a44d6d28a820	None	Natural susceptibility to compaction for EU27, Mar. 2008	None	None	None	None	None	This map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil’s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted. The map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute "Evaluation" in the shapefile): 0 - no soil. This represents water bodies, glaciers and rock outcrops 1 - low susceptibility to compaction 2. - medium susceptibility to compaction 3. - high susceptibility to compaction 4. - very high susceptibility to compaction 9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/977c9f73-f532-405a-bb4f-a44d6d28a820.png	EPSG:3035	2019-06-04	None	None	soil|soil compaction	vector	SHP	None	1:1000000	None	Refer to the document documentation/Report_Map_of_Natural_Susceptibility_Soils_to_Compaction_v1.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/977c9f73-f532-405a-bb4f-a44d6d28a820	2000	2004	TRUE	Soil	Notification regarding these data: The data of the "Map of Natural Susceptibility of Soils to Compaction" are made available for research purposes only and not for any other activity. The data of the "Map of Natural Susceptibility of Soils to Compaction" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 "Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkova and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008 Reference of source : "Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkov and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_v_3035_1_mio_esdb-comp-susc-eu27_1974-2004	None	None
54dd0ea0-ea04-4fc3-9c7b-c576eee287dd	None	Global Soil Organic Carbon Estimates in subsoil (5 arcmin), Mar. 2012	None	None	None	None	None	Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data. This dataset contains the organic carbon density (t ha-1) for the subsoil (30 - 100cm) from the amended HWSD. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/54dd0ea0-ea04-4fc3-9c7b-c576eee287dd.png	EPSG:4326	2019-06-04	None	None	organic carbon|soil	grid	RST	None	0.0833333333deg	None	Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 – 79 pp. – EUR 25225 EN – EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf]	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54dd0ea0-ea04-4fc3-9c7b-c576eee287dd	2009	2009	FALSE	Soil	Notification regarding these data: The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra. The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_4326_5_arcmin_org-c-sub_2009	None	None
6e63520a-598a-4051-ba52-a995d5080021	None	Cadmium (Cd) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total cadmium concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e63520a-598a-4051-ba52-a995d5080021.png	EPSG:3035	2019-06-04	None	None	cadmium|concentration|heavy metal|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e63520a-598a-4051-ba52-a995d5080021	1997	2007	TRUE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-cd_1997-2007	None	None
8f77324b-3ad9-4f2d-98a3-149c1f799f11	None	Organic carbon in topsoils (OCTOP) in Europe, Jan. 2003	None	None	None	None	None	Soil organic carbon, the major component of soil organic matter, is extremely important in all soil processes. Organic material in the soil is essentially derived from residual plant and animal material, synthesized by microbes and decomposed under the influence of temperature, moisture and ambient soil conditions. The JRC has developed and makes available a map of Soil Organic Carbon content (%) in the surface horizon of soils in Europe. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8f77324b-3ad9-4f2d-98a3-149c1f799f11.png	EPSG:3035	2019-06-04	None	None	organic carbon|soil	grid	AIG	None	1000m	None	Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/octop/octop_data.html and to * Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671. * Robert J.A. Jones, Roland Hiederer,Ezio Rusco, Peter J. Loveland and Luca Montanarella European Soil Bureau Research Report No.15, EUR 21209, 40pp. Office for Official Publications of the European Communities, Luxembourg. [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/other/OCtopMapBkLet76.pdf].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8f77324b-3ad9-4f2d-98a3-149c1f799f11	2003	2003	FALSE	Soil	Notification Regarding Use of Data The data provided has been prepared for use by internal research activities in the Land Management Unit and the Soil and Waste Unit, of the Institute for Environment & Sustainability, JRC Ispra. The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above. The user also agrees to: Make proper reference to the source of the data when disseminating the results to which this agreement relates; Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) References which should be cited whenever you use the OCTOP data: Jones, R.J.A., Hiederer, R., Rusco, E., Loveland, P.J. and Montanarella, L. (2004). The map of organic carbon in topsoils in Europe, Version 1.2, September 2003: Explanation of Special Publication Ispra 2004 No.72 (S.P.I.04.72). European Soil Bureau Research Report No.17, EUR 21209 EN, 26pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg. Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671. Panagos, P., Van Liedekerke, M., Montanarella, L., Jones, R.J.A, Soil organic carbon content indicators and web mapping applications, Environmental Modelling & Software, Volume 23, Issue 9, September 2008, Pages 1207-1209. Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_esdb-octop_2003	None	None
aa596832-772e-48e0-85cf-4cc80be75962	None	Heavy metals in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total heavy metal concentrations of eight critical heavy metals (arsenic, cadmium, chromium, copper, mercury, nickel, lead and zinc) in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/aa596832-772e-48e0-85cf-4cc80be75962.png	EPSG:3035	2019-06-04	None	None	concentration|heavy metal|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668]	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aa596832-772e-48e0-85cf-4cc80be75962	1997	2007	TRUE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-heavy-metals_1997-2007	None	None
c0865d05-95e7-474e-a721-f2e3b2a27f94	None	Copper (Cu) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total copper concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c0865d05-95e7-474e-a721-f2e3b2a27f94.png	EPSG:3035	2019-06-04	None	None	concentration|copper|heavy metal|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c0865d05-95e7-474e-a721-f2e3b2a27f94	1997	2007	TRUE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-cu_1997-2007	None	None
b6bc1da3-e30a-40f8-a930-9003b7fa338c	None	Chromium (Cr) concentration in topsoils, Sep. 2007	None	None	None	None	None	Maps of estimated total chromium concentrations in soils using 1588 geo-referenced topsoil samples from the FOREGS Geochemical database. The concentrations were interpolated using block regression-kriging over the 26 European countries that contributed to the database. Heavy metal contents are expressed in mg kg-1. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b6bc1da3-e30a-40f8-a930-9003b7fa338c.png	EPSG:3035	2019-06-04	None	None	chromium|concentration|heavy metal|soil	grid	AAIGrid	None	5000m	None	Refer to http://eusoils.jrc.ec.europa.eu/foregshmc/ and to Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199. [http://www.sciencedirect.com/science/article/pii/S0016706108002668].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b6bc1da3-e30a-40f8-a930-9003b7fa338c	1997	2007	TRUE	Soil	Please cite as: Reference: Rodriguez Lado, L., Hengl, T., Reuter, H.I., (2008) Heavy metals in European soils: a geostatistical analysis of the FOREGS Geochemical database. Geoderma 148, 189-199.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_5_km_esdb-hm-cr_1997-2007	None	None
720d6f44-2790-4c2c-acb1-50fd2f839c31	None	Natural susceptibility to compaction for Eurasia, Mar. 2008	None	None	None	None	None	This map shows the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction. The evaluation of the soil’s natural susceptibility is based on the creation of logical connections between relevant parameters (pedotransfer rules). The input parameters for these pedotransfer rules are taken from the attributes of the European soil database, e.g. soil properties: type, texture and water regime, depth to textural change and the limitation of the soil for agricultural use. Besides the main parameters auxiliary parameters have been used as impermeable layer, depth of an obstacle to roots, water management system, dominant and secondary land use. It was assumed that every soil, as a porous medium, could be compacted. The map of natural soil susceptibility to compaction was created from the evaluation of selected parameters from the ESDB. The soil susceptibility to compaction was divided into 4 categories. Two additional categories represent the data concerning places where this evaluation was either not relevant or could not been provided because of lack of information. In total there are 6 categories (attribute "Evaluation" in the shapefile): 0 - no soil. This represents water bodies, glaciers and rock outcrops 1 - low susceptibility to compaction 2. - medium susceptibility to compaction 3. - high susceptibility to compaction 4. - very high susceptibility to compaction 9. - no evaluation possible. This was the case of towns including also soils, soils disturbed by man and marsh. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/720d6f44-2790-4c2c-acb1-50fd2f839c31.png	EPSG:3035	2019-06-04	None	None	soil|soil compaction	vector	SHP	None	1:1000000	None	Refer to the document documentation/Report_Map_of_Natural_Susceptibility_Soils_to_Compaction_v1.pdf	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/720d6f44-2790-4c2c-acb1-50fd2f839c31	2000	2004	TRUE	Soil	Notification regarding these data: The data of the "Map of Natural Susceptibility of Soils to Compaction" are made available for research purposes only and not for any other activity. The data of the "Map of Natural Susceptibility of Soils to Compaction" were elaborated by the DG Joint Research Centre of the European Commission (JRC) through the processing of the data of the European Soil Database v2 (ESDB v2) which was developed by JRC in collaboration with the European Soil Bureau Network, which holds a joint copyright to the data with the European Commission. The data are the result of a JRC internal research activity; the underlying model and resulting data still need to be validated and verified; no formal quality check on the data has been made yet. The JRC, on behalf of the Commission, does not accept any liability whatsoever for any error, missing data or omissions in the data, or for any loss or damage arising from its use. The JRC, on behalf of the Commission, agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. The permission to use the data specified above is granted on condition that, under no circumstances are these data passed to third parties. Moreover they must not be used in any way for commercial gain or for purposes other than those specified above. The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003 "Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkova and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008 Reference of source : "Map for Europe of Natural Susceptibility of Soils to Compaction", Beata Houkov and Marc Van Liedekerke, Land Management and Natural Hazards Unit, Institute for Environment & Sustainability, European Commission DG Joint Research Centre, 2008	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_v_3035_1_mio_esdb-comp-susc-eurasia_1974-2004	None	None
c872cc3a-f73d-447c-8140-be183811801d	None	Global Soil Organic Carbon Estimates in subsoil (30 arcsec), Mar. 2012	None	None	None	None	None	Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD). The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data. This dataset contains the organic carbon density (t ha-1) for the subsoil (30 - 100cm) from the amended HWSD. The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c872cc3a-f73d-447c-8140-be183811801d.png	EPSG:4326	2019-06-04	None	None	organic carbon|soil	grid	GTiff	None	0.00833333333deg	None	Refer to Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer, M. Köchy 2012 – 79 pp. – EUR 25225 EN – EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/Other/EUR25225.pdf] The original delivery from JRC consisted of two files in IDRISI Raster format, each covering half of the globe. For convenience, these files have been merged at EEA into a single GeoTIFF file covering the whole globe. The original files are in the zip archive HWSDa_OC_Dens_30SEC.zip	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c872cc3a-f73d-447c-8140-be183811801d	2009	2009	FALSE	Soil	Notification regarding these data: The data provided has been prepared for use by internal research activities in the Land Resource Management Unit of the Institute for Environment & Sustainability, JRC Ispra. The data were developed for research purposes of the JRC only and not for any other activity. The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases. All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : R. Hiederer, M. Köchy 2012. Global Soil Organic Carbon Estimates and the Harmonized World Soil Database. EUR Scientific and Technical Research series – ISSN 1831-9424 (online), ISSN 1018-5593 (print), ISBN 978-92-79-23108-7, doi:10.2788/13267 Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_4326_30_arcsec_org-c-sub_2009	None	None
4dccd960-23ff-42ae-aab5-d35bfcf0c37b	None	Pan-European Soil Erosion Risk Assessment (PESERA), Jan. 2004	None	None	None	None	None	Soil erosion is a natural process, occurring over geological time, and indeed it is a process that is essential for soil formation in the first place. With respect to soil degradation, most concerns about erosion are related to accelerated erosion, where the natural rate has been significantly increased mostly by human activity. Soil erosion by water is a widespread problem throughout Europe. PESERA (Pan European Soil Erosion Risk Assessment) has been created in order to design a model and to handle spatial and temporal data of variable quality and detail and to enable the impacts of agricultural policy, land use and climate changes to be assessed and monitored across Europe. The Pan-European Soil Erosion Risk Assessment - PESERA - uses a process-based and spatially distributed model to quantify soil erosion by water and assess its risk across Europe. This metadata record is adapted from the orginal one received from JRC.	https://esdac.jrc.ec.europa.eu	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4dccd960-23ff-42ae-aab5-d35bfcf0c37b.png	EPSG:3035	2019-06-04	None	None	soil|soil conservation|soil erosion	grid	AIG	None	1000m	None	Refer to http://eusoils.jrc.ec.europa.eu/ESDB_Archive/pesera/pesera_data.html and to * "Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73)." * Kirkby, M.J., Jones, R.J.A., Irvine, B., Gobin, A, Govers, G., Cerdan, O., Van Rompaey, A.J.J., Le Bissonnais, Y., Daroussin, J., King, D., Montanarella, L., Grimm, M., Vieillefont, V., Puigdefabregas, J., Boer, M., Kosmas, C., Yassoglou, N., Tsara, M., Mantel, S., Van Lynden, G.J. and Huting, J.(2004). European Soil Bureau Research Report No.16, EUR 21176, 18pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg. [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/eusoils_docs/esb_rr/n16_ThePeseraMapBkLet52.pdf] [http://eusoils.jrc.ec.europa.eu/ESDB_Archive/pesera/docs/EROSIONA4.pdf].	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4dccd960-23ff-42ae-aab5-d35bfcf0c37b	2003	2003	FALSE	Soil	Notification regarding these data: These data provided have been prepared by the Partners in the The PESERA Project (Contract No. QLK5-CT- 1999-01323) in collaboration with the Institute for Environment & Sustainability, JRC Ispra. These data are the main results from the The PESERA Project and are made available for research purposes in the European Communities and collaborating organisations only and not for any other activity. The Pesera Partners and the DG-JRC do not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The DG JRC agrees to provide these data, free of charge, on behalf of The PESERA Project, but the DG-JRC is not bound to justify the content and values contained therein. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. Moreover they must NOT be used in any way for commercial gain or for purposes other than those specified above The user agrees to: a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC). Reference of source (Citations) : Kirkby, M.J., Jones, R.J.A., Irvine, B., Gobin, A, Govers, G., Cerdan, O., Van Rompaey, A.J.J., Le Bissonnais, Y., Daroussin, J., King, D., Montanarella, L., Grimm, M., Vieillefont, V., Puigdefabregas, J., Boer, M., Kosmas, C., Yassoglou, N., Tsara, M., Mantel, S., Van Lynden, G.J. and Huting, J. (2004). Pan-European Soil Erosion Risk Assessment: The PESERA Map, Version 1 October 2003. Explanation of Special Publication Ispra 2004 No.73 (S.P.I.04.73). European Soil Bureau Research Report No.16, EUR 21176, 18pp. and 1 map in ISO B1 format. Office for Official Publications of the European Communities, Luxembourg. S.P.I.04.73. (2004). The PESERA Map: Pan-European Soil Erosion Risk Assessment. Special Publication Ispra 2004 No.73, map in ISO B1 format. Office for Official Publications of the European Communities Panagos P., Van Liedekerke M., Jones A., Montanarella L. European Soil Data Centre: Response to European policy support and public data requirements. (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_1_km_esdb-pesera_2003	None	None
ffdf7094-0d4a-497d-9b78-7545cb03da25	None	GISCO - Administrative units 2013 at country level, Nov. 2015	None	None	None	None	None	This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public dataset is available at 1M, 3M, 10M, 20M, 60M, while the full dataset at 100K is restricted. This metadata only refers to the full dataset at 100k and shall only be used internally by the EEA. This metadata has been slightly adapted from the original metadata file provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. For reference, the original metadata file provided by ESTAT (CNTR_2013.xml) is provided together with the dataset. The public dataset is available for download on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/countries#countries13.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ffdf7094-0d4a-497d-9b78-7545cb03da25.png	EPSG:4258	2019-06-04	None	None	administrative boundary	vector	FGeo	None	1:100000	None	The dataset is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2013, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. Each scale level in the CNTR_2013 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label and an associated record in the CNTR_AT table which contains names and poltical status. In this version the Territory of Ashmore and Cartier Islands has been merged with Australia and the AC country code removed.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ffdf7094-0d4a-497d-9b78-7545cb03da25	None	None	FALSE	Administrative units|World	Generalised dataset derived from EuroGeographics and UN-FAO GI data. The dataset may be used and distributed if: The source (EuroGeographics and UN-FAO) is acknowledged, AND The data is not used for commercial purpose, AND The original geometry is generalised to the equivalent of a scale of 1:1.000.000 or smaller. The source, copyright and branding will be acknowledged if the geographic data are used in Commission products. The acknowledgement will be displayed as “@EuroGeographics” on the map or in an acknowledgement text. The size of the text on the map will be proportional to the size of the map. The maximum length of copyright texts on electronic maps (web maps or electronic applications) is 20 characters. No copyright text will be applied for online icon maps with less than 150 x 150 pixels.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_100_k_gisco-admin-boundaries_2013	None	None
28370b9b-1c91-4b29-80a2-fbf2d32c8881	None	Natura 2000 - 2012 (vector), Nov. 2015	None	None	None	None	None	Natura 2000 (an EU-wide network of nature protection areas established under the 1992 Habitats Directive) is the centrepiece of EU nature & biodiversity policy. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats. A selection of Natura 2000 grassland-rich sites (5 grassland habitats types 6210, 6240, 6250, 6510 and 6520, including a 2km buffer and covering approx. 160.000 km2) sites was mapped in order to assess their actual area, their condition and their development over time. Land Cover/Land Use (LC/LU) classification was tailored to the needs of biodiversity monitoring in a buffer zone of selected Natura 2000 sites. LC/LU information is extracted from VHR satellite data and other available data in a buffer zone of selected N2K sites for supporting biodiversity monitoring and mapping and assessment of ecosystems and their services. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover (CLC). The Minimum Mapping Unit (MMU) is 0.5 ha; the Minimum Mapping Width (MMW) is 10 m. The production of the Natura 2000 updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/28370b9b-1c91-4b29-80a2-fbf2d32c8881.png	EPSG:3035	2019-06-04	None	None	habitat|land use|landscape alteration|natural area|natural areas protection|protected area|species	vector	SHP	None	10m	None	Semi-automatic classification of 2.5m VHR2 SPOT-5 HRG satellite data from the DAP_MG2b_01 dataset (for the time period 2004-2008) and 1.5m VHR2 SPOT-6, 2.0m VHR2 Pléiades and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (for the time period 2010-2014) with subsequently computer-assisted visual refinement. The Minimum Mapping Unit (MMU) is 0.5 ha. The Minimum Mapping Width is 10m. The Positional Accuracy is less than 5 m (according to geo-location accuracy of satellite imagery delivered by ESA: less than 5m RMSE). Accuracy Assessment approach: Stratified Random Point Sampling. Interpretation of sampling points has been performed on the best available reference data. The area-corrected Overall Accuracy is above 85%.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/28370b9b-1c91-4b29-80a2-fbf2d32c8881	None	None	FALSE	Land cover|Protected sites|EU27	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_10_m_n2k_2010-2014	None	None
9d131e52-0ce9-41a1-9a96-0310eb97c415	None	High Resolution Layer: Imperviousness Classified Change 2012-2015 (raster 20m), Apr. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9d131e52-0ce9-41a1-9a96-0310eb97c415.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9d131e52-0ce9-41a1-9a96-0310eb97c415	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imcc_2011-2016	None	None
f0f9610c-8446-45ed-88bd-eaa137bef5ab	None	Riparian Zones Delineation (vector), Aug. 2015	None	None	None	None	None	Riparian zones represent transitional areas occurring between land and freshwater ecosystems, characterised by distinctive hydrology, soil and biotic conditions and strongly influenced by the stream water. They provide a wide range of riparian functions (e.g. chemical filtration, flood control, bank stabilization, aquatic life and riparian wildlife support, etc.) and ecosystem services. The Riparian Zones products support the objectives of several European legal acts and policy initiatives, such as the EU Biodiversity Strategy to 2020, the Habitats and Birds Directives and the Water Framework Directive. The delineation of Riparian Zones is based on a complex spatial modelling approach, making use of the Riparian Zones’ LC/LU classification, large-scale earth observation data and a range of additional geo-data sources, as well as derived spatially explicit indicators. Inputs are regionally parameterised and weighted according to relative importance in a fuzzy modelling approach. The zones provide a majority of riparian functions with a focus on ecosystem services. The production of the Riparian Zones products was coordinated by the European Environment Agency in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f0f9610c-8446-45ed-88bd-eaa137bef5ab.png	EPSG:3035	2019-06-04	None	None	bank (land)|filtration|freshwater ecosystem|land use|landscape alteration|riparian zone	vector	SHP	None	10m	None	The calculation is based on the stratification of different hydrological and geomorphological parameters. These parameters are derived from the input datasets and are weighted differently dependent on their significance and quality. The resulting membership degree of each input parameter is finally combined into a single membership degree expressing the likelihood of an area to be part of a potential riparian zone. Qualitative assessment: due to the absence of European-wide harmonized reference data on the location and characteristics of riparian zones in sufficient thematic detail, a qualitative expert assessment approach has been chosen for the riparian zones layer, making use of the unique expertise of the freelance expert consultants who are available to the project team and who are recognized among the most renowned European experts in this domain, being also the authors of the most relevant scientific publications in the recent years. The experts conducted an in-depth review of the riparian zones delineation modelling approach and the associated relevant algorithms and membership functions, which were checked and approved by them. The experts provided also support and advise on the correct model parameterization and final modelling of the riparian zones products, such that the final results are considered properly quality-assessed and validated by this scientific expert-assessment approach. Minimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f0f9610c-8446-45ed-88bd-eaa137bef5ab	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_10_m_rzd_2011-2013	None	None
d6152a22-cc3f-4353-8989-14528c0a713d	None	High Resolution Layer: Imperviousness Degree 2015 (raster 100m), Mar. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d6152a22-cc3f-4353-8989-14528c0a713d.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	100m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6152a22-cc3f-4353-8989-14528c0a713d	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_100_m_imd_2014-2016	None	None
62ab826c-9411-4dbf-b516-beb1db681830	None	High Resolution Layer: Imperviousness Classified Change 2006-2009 (raster 20m), Apr. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/62ab826c-9411-4dbf-b516-beb1db681830.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/62ab826c-9411-4dbf-b516-beb1db681830	None	None	FALSE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imcc_2006-2009	None	None
0b699aed-e477-437f-b8b2-643f7793fb5d	None	Natura 2000 - 2006 (vector), Nov. 2015	None	None	None	None	None	Natura 2000 (an EU-wide network of nature protection areas established under the 1992 Habitats Directive) is the centrepiece of EU nature & biodiversity policy. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats. A selection of Natura 2000 grassland-rich sites (5 grassland habitats types 6210, 6240, 6250, 6510 and 6520, including a 2km buffer and covering approx. 160.000 km2) sites was mapped in order to assess their actual area, their condition and their development over time. Land Cover/Land Use (LC/LU) classification was tailored to the needs of biodiversity monitoring in a buffer zone of selected Natura 2000 sites. LC/LU information is extracted from VHR satellite data and other available data in a buffer zone of selected N2K sites for supporting biodiversity monitoring and mapping and assessment of ecosystems and their services. The classes follow the pre-defined nomenclature on the basis of MAES typology of ecosystems (Level 1 to Level 4) and Corine Land Cover (CLC). The Minimum Mapping Unit (MMU) is 0.5 ha; the Minimum Mapping Width (MMW) is 10 m. The production of the Natura 2000 updates was coordinated by the European Environment Agency (EEA) in the frame of the EU Copernicus programme.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b699aed-e477-437f-b8b2-643f7793fb5d.png	EPSG:3035	2019-06-04	None	None	habitat|land use|landscape alteration|natural area|natural areas protection|protected area|species	vector	SHP	None	10m	None	Semi-automatic classification of 2.5m VHR2 SPOT-5 HRG satellite data from the DAP_MG2b_01 dataset (for the time period 2004-2008) and 1.5m VHR2 SPOT-6, 2.0m VHR2 Pléiades and 2.5m VHR2 SPOT-5 HRG satellite data from the DWH_MG2b_CORE_03 dataset (for the time period 2010-2014) with subsequently computer-assisted visual refinement. Minimum Mapping Unit: 0.5 ha. Minimum Mapping Width: 10 m	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b699aed-e477-437f-b8b2-643f7793fb5d	2004	2008	TRUE	Land cover|Protected sites|EU27	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_v_3035_10_m_n2k_2004-2008	None	None
37a6a5d1-b098-48d7-9969-81584ff0e1c1	None	ASTER Global Digital Elevation Model subset over Europe (ASTER-GDEM, resolution 25 m)	None	None	None	None	None	This dataset is a subset of the ASTER-GDEM Version 2 data set available at www.gdem.aster.ersdac.or.jp. The data have been downloaded, assembled and re-projected into the ETRS89/ETRS-LAEA 25m INSPIRE compatible grid by JRC. The resampling was done applying a hermite spline interpolation technique. Copyright notice: ASTER GDEM Copyright (c) 2009 - 2011 Earth Remote Sensing Data Analysis Center (ERSDAC) All rights reserved.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/blank.png	EPSG:3035	2019-06-04	None	None	Cartography|Elevation|Geodesy|Geography|Hydrography|Mapping|Photogrammetry|Radar|Remote sensing	grid	GTiff	None	25m	None	This layer is a subset of the ASTER-GDEM Version 2 data set available at www.gdem.aster.ersdac.or.jp. The data have been downloaded, assembled and re-projected into the ETRS89/ETRS-LAEA 25m INSPIRE compatible grid by JRC. The resampling was done applting a hermite spline interpolation technique.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/37a6a5d1-b098-48d7-9969-81584ff0e1c1	2000	2010	TRUE	Elevation|Hydrography	The copyright notice mentioned at http://www.gdem.aster.ersdac.or.jp/faq.jsp must be displayed when using the data.	FALSE	European Commission, Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	jrc_r_3035_25_m_aster-gdem_2012	None	None
bb32d49d-71ce-4a89-884a-e7e6fb118333	None	High Resolution Layer: Imperviousness Classified Change 2009-2012 (raster 20m), Apr. 2018	None	None	None	None	None	The high resolution imperviousness products capture the percentage and change of soil sealing. Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. A series of high resolution imperviousness datasets (for the 2006, 2009, 2012 and 2015 reference years) with all artificially sealed areas was produced using automatic derivation based on calibrated Normalized Difference Vegetation Index (NDVI). This series of imperviousness layers constitutes the main status layers. They are per-pixel estimates of impermeable cover of soil (soil sealing) and are mapped as the degree of imperviousness (0-100%). Imperviousness change layers were produced as a difference between the reference years (2006-2009, 2009-2012, 2012-2015 and additionally 2006-2012, to fully match the CORINE Land Cover production cycle) and are presented 1) as degree of imperviousness change (-100% -- +100%), in 20m and 100m pixel size, and 2) a classified (categorical) 20m change product.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb32d49d-71ce-4a89-884a-e7e6fb118333.png	EPSG:3035	2019-06-04	None	None	built environment|land cover|land use|landscape alteration|sealing|soil surface sealing|urban area	grid	GTiff	None	20m	None	Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of the production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iii) Thematic Accuracy, (iv) Temporal quality and (v) Usability. Each of them (excl. the Thematic Accuracy hereafter) forms a section in the QA/QC Procedures.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb32d49d-71ce-4a89-884a-e7e6fb118333	2008	2013	TRUE	Land cover|EEA39	Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users. Free, full and open access to this data set is made on the conditions that: 1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information. 2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union. 3. Where that data or information has been adapted or modified, the user shall clearly state this. 4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	copernicus_r_3035_20_m_imcc_2008-2013	None	None
af23e943-253e-4681-a22d-9ba131cd48a9	None	Administrative units 2010 at country level (1:1M) including Kosovo (UNSCR 1244/99), Oct. 2012	None	None	None	None	None	This dataset adds the delineation of a Kosovo under United Nations Security Council Resolution 1244/99 feature to the administrative units at country level from 2010 dataset provided by GISCO. The country identifier (cntr_id) for the Kosovo under United Nations Security Council Resolution 1244/99 feature is set to 'XK' and its associated object_id to 999. Users should pay attention to the existence of another feature with cntr_id set to 'XK' in Africa (associated object_id: 245). The Kosovo under United Nations Security Council Resolution 1244/99 feature has been delineated using the boundaries of the following communes extracted from the administrative units at commune level from 2010 provided by GISCO: comm_id --------- RS01, RS02, RS03, RS04, RS05, RS06, RS07, RS08, RS09, RS10, RS11, RS12, RS13, RS14, RS15, RS16, RS17, RS18, RS19, RS20, RS21, RS22, RS23, RS24, RS25, RS26, RS27, RS28, RS29, RS30, RS31, RS32, RS33, RS34, RS35, RS36, RS37	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af23e943-253e-4681-a22d-9ba131cd48a9.png	None	2019-06-04	None	None	administrative boundary	vector	SHP	None	1:1000000	None	+ Selection of the relevant commune features (ref. abstract) followed by agregation of the commune features in an unique polygon to form Kosovo under United Nations Security Council Resolution 1244/99 administrative boundary feature, both for 100K and 1M. + Creation of the boundary line between the newly created Kosovo under United Nations Security Council Resolution 1244/99 feature and remaining commune features of Serbia, both for 100K and 1M. + Split of Serbia feature with the boundary line, both for 100K and 1M.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af23e943-253e-4681-a22d-9ba131cd48a9	None	None	FALSE	Administrative units	This data set should be referred to as "Countries, 2010 - European Commission, Eurostat/GISCO. Elaboration by EEA 2012." An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_gisco-admin-boundaries-kosovo_2010	None	None
10b2fdf5-83df-405d-8b2e-842faf54f407	None	GISCO - Administrative units 2010 at country level, Aug. 2012	None	None	None	None	None	This data set contains the administrative boundaries at country level of the world and is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This dataset consists of 2 feature classes (regions, boundaries) per scale level and there are 6 different scale levels (100K, 1M, 3M, 10M, 20M and 60M). The public data set (1M - 60M) is available for download at http://epp.eurostat.ec.europa.eu/portal/page/portal/gisco_Geographical_information_maps/popups/references/administrative_units_statistical_units_1 The full data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. These metadata are derived from the original metadata records available at Inspire@EC.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/10b2fdf5-83df-405d-8b2e-842faf54f407.png	None	2019-06-04	None	None	administrative boundary	vector	FGeo	None	1:60000000	None	The dataset is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the CNTR_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/10b2fdf5-83df-405d-8b2e-842faf54f407	None	None	FALSE	Administrative units	This data set should be referred to as &quot;Countries, 2010 - European Commission, Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_x_x_gisco-admin-boundaries_2010	None	None
b877e4b8-01d0-4d8e-9f9e-4cd255b25493	None	GISCO - Coastlines and sea regions 2010, Aug. 2012	None	None	None	None	None	This data set represents the coastlines of the world and is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. These metadata are derived from the original metadata records available at Inspire@EC.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b877e4b8-01d0-4d8e-9f9e-4cd255b25493.png	None	2019-06-04	None	None	administrative boundary|coast	vector	FGeo	None	1:60000000	None	The dataset is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). These datasets were integrated in a common repository of geometry (including EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COAS_2010 dataset consists of 2 feature classes (regions and boundaries). Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b877e4b8-01d0-4d8e-9f9e-4cd255b25493	None	None	FALSE	Administrative units	The spatial data should be referred to as &quot;Coastlines 2010, European Commission - Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN) Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN) Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN) Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_x_x_gisco-coastlines_2010	None	None
81197a77-db68-49c4-8678-1fdd2acc41dc	None	MSFD provisional dataset on sea regions and sub-regions - INTERNAL VERSION, Sep. 2013	None	None	None	None	None	Draft version of the regions boundaries at sea to be used for the MSFD reporting. This dataset has not been approved by Member States.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81197a77-db68-49c4-8678-1fdd2acc41dc.png	None	2019-06-04	None	None	sea	vector	SHP	None	1:1000000	None	Draft dataset pending approval by Member States.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81197a77-db68-49c4-8678-1fdd2acc41dc	None	None	FALSE	Sea regions	Strictly for internal use.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_1_mio_msfd-sea-regions_2013	None	None
f1d0161c-7d28-4e50-97c1-8a2b4dd601e1	None	Administrative units 2010 at country level (1:100k) including Kosovo (UNSCR 1244/99), Oct. 2012	None	None	None	None	None	This dataset adds the delineation of a Kosovo under United Nations Security Council Resolution 1244/99 feature to the administrative units at country level from 2010 dataset provided by GISCO. The country identifier (cntr_id) for the Kosovo under United Nations Security Council Resolution 1244/99 feature is set to 'XK' and its associated object_id to 999. Users should pay attention to the existence of another feature with cntr_id set to 'XK' in Africa (associated object_id: 245). The Kosovo under United Nations Security Council Resolution 1244/99 feature has been delineated using the boundaries of the following communes extracted from the administrative units at commune level from 2010 provided by GISCO: comm_id --------- RS01, RS02, RS03, RS04, RS05, RS06, RS07, RS08, RS09, RS10, RS11, RS12, RS13, RS14, RS15, RS16, RS17, RS18, RS19, RS20, RS21, RS22, RS23, RS24, RS25, RS26, RS27, RS28, RS29, RS30, RS31, RS32, RS33, RS34, RS35, RS36, RS37	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f1d0161c-7d28-4e50-97c1-8a2b4dd601e1.png	None	2019-06-04	None	None	administrative boundary	vector	SHP	None	1:100000	None	+ Selection of the relevant commune features (ref. abstract) followed by agregation of the commune features in an unique polygon to form Kosovo under United Nations Security Council Resolution 1244/99 administrative boundary feature, both for 100K and 1M. + Creation of the boundary line between the newly created Kosovo under United Nations Security Council Resolution 1244/99 feature and remaining commune features of Serbia, both for 100K and 1M. + Split of Serbia feature with the boundary line, both for 100K and 1M.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f1d0161c-7d28-4e50-97c1-8a2b4dd601e1	None	None	FALSE	Administrative units	This data set should be referred to as "Countries, 2010 - European Commission, Eurostat/GISCO. Elaboration by EEA 2012." An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_k_gisco-admin-boundaries-kosovo_2010	None	None
16c57e11-9b6d-4250-bb38-1986690079e5	None	GISCO - Exclusive Economic Zones (EEZ) of the world 2010, Aug. 2012	None	None	None	None	None	Under the law of the sea, an exclusive economic zone (EEZ) is a sea zone over which a state has special rights over the exploration and use of marine resources. It stretches from the seaward edge of the state territorial sea out to 200 nautical miles from its coast. The data set has been derived from the World Maritime Boundaries v5.0 dataset from the Flanders Marine Institute (VLIZ) and integrated with the datasets &quot;Communes 2010 – European Commission, Eurostat/GISCO&quot;, &quot;Countries 2010, European Commission - Eurostat/GISCO&quot;, &quot;Coastlines 2010, European Commission - Eurostat/GISCO&quot;. The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. These metadata are derived from the original metadata records available at Inspire@EC.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/16c57e11-9b6d-4250-bb38-1986690079e5.png	None	2019-06-04	None	None	administrative boundary	vector	FGeo	None	1:60000000	None	The dataset is based on the European Boundary Map v5.0. from EuroGeographics (scale 1:100.000) (for Eurogeographics members) and the Global Administrative Unit Layers (GAUL) 2008 from FAO (UN) (scale 1:1M and smaller). These datasets were integrated in a common repository of geometry (including EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COAS_2010 dataset consists of 2 feature classes (regions and boundaries). Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/16c57e11-9b6d-4250-bb38-1986690079e5	None	None	FALSE	Area management/restriction/regulation zones and reporting units	The dataset should be referred to as &quot;Exclusive Economic Zones of the World, 2010, European Commission - Eurostat/GISCO&quot;. Access to dataset is restricted to the personnel of the European Commission and its contractors. Access to the dataset by the general public is not possible, due to intellectual property rights. Use is allowed only inside the Commission. The dataset can be used for scientific, educational or research purposes but should not be used for legal, commercial/economical (exploration of natural resources) or navigational purposes. This data set is not based on official sources. We encourage the use of the official Commission disclaimer on all publications (http://ec.europa.eu/geninfo/legal_notices_en.htm). The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Maritime boundaries: © Flanders Marine Institute (VLIZ) Coastline: © EuroGeographics, © FAO (UN). Source: European Commission – Eurostat/GISCO French: Zones maritimes: © Flanders Marine Institute (VLIZ) (translate: coastline): © EuroGeographics, © FAO (UN) Source: Commission européenne – Eurostat/GISCO German: Seegrenzen: © Flanders Marine Institute (VLIZ) (translate: coastline): © EuroGeographics, © FAO (UN) Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_x_x_gisco-eez_2010	None	None
b4d44141-e5c0-4e23-b11e-d64c5087c413	None	GISCO - Communes 2010, Aug. 2012	None	None	None	None	None	This data set shows pan European administrative boundaries down to commune level version 2010. Communes are equivalent to Local Administrative Units, level 2 (LAU2), except for GR (LAU1) and SI (so called LAU3). The Nomenclature of Territorial Units for Statistics (NUTS) and the LAU nomenclature are hierarchical classifications of statistical regions that together subdivide the EU economic territory into regions of five different levels (NUTS 1, 2 and 3 and LAU 1, 2, respectively, moving from larger to smaller territorial units). The NUTS classification has been officially established through Regulation (EC) No 1059/2003 of the European Parliament and of the Council and amendments. A non official NUTS-like classification has been defined for the non-EU countries. The LAU classification is not covered by any legislative act. An introduction to the NUTS classification is available here: http://epp.eurostat.ec.europa.eu/portal/page/portal/nuts_nomenclature/introduction The data set is based on EuroBoundaryMap v. 5.0 from Eurogeographics. Geographical extent covers the European Union 27, EFTA countries, Croatia, Serbia (including Kosovo UNSCR 1244) Greenland, Moldova and Ukraine. The scale of the data set is 1:100 000. The data set (100K - 60M) is available to EEA due to EEA having a valid EBM v5.0 licence. These metadata are derived from the original metadata records available at Inspire@EC.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b4d44141-e5c0-4e23-b11e-d64c5087c413.png	None	2019-06-04	None	None	administrative boundary	vector	FGeo	None	1:60000000	None	The dataset is based on the geometry from EuroBoundary Map v5.0 (source EuroGeographics). This dataset was integrated in a common repository of geometry (including country and EEZ boundaries) of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the COMM_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each Commune in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b4d44141-e5c0-4e23-b11e-d64c5087c413	2010	2010	FALSE	Administrative units	This data set should be referred to as &quot;Communes, 2010 - European Commission, Eurostat/GISCO&quot;. An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_x_x_gisco-communes_2010	None	None
1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78	None	EuroGlobalMap (individual countries) - version 10.0, Sep. 2017	None	None	None	None	None	EuroGlobalMap is a topographic dataset that covers the EU, Andorra, Croatia, Faroe Islands, Georgia, Greenland, Iceland, Kosovo, Liechtenstein, North Macedonia, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: Administrative Boundaries, Water network, Transport Network, Settlements and Named Locations. This metadata refers to the version 10 of EGM of individual countries. For more information about the data product specifications and changes with respect to the previous version of this dataset (EGM v9), please refer to the documents EGM_Specification_v10.pdf, EGM_UserGuide_v10.pdf and EGM_Changes_v10.pdf provided with the dataset (DOCUMENTS.zip). This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics for the full product is provided together with the dataset ("EGM_v10_Metadata.xsl" within the "METADATA.zip").	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78.png	None	2019-06-04	None	None	administrative boundary|airport|artificial lake|coast|dam|data base|drainage water|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|hydrography|international watercourse|lake|maritime transport|national boundary|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|waterway	vector	PGeo|SHP	None	1:1000000	None	See EGM_Lineage_v10.pdf under "METADATA.zip" provided with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e8cd3b4-85da-4f3f-ab2d-f15b61af8f78	None	None	FALSE	Administrative units|Geographical names|Population distribution - demography|Statistical units|Transport networks|Andorra|EFTA4|EU28|Faeroe Islands|Gibraltar|Greenland|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican	Small scale applications only, map scale 1:500.000 - 1: 2.000.000, not to be used for navigation.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_1_mio_egm-countries_1998-2016_rev10-0	None	None
27812b75-404e-476e-8a21-07df0122d764	None	EuroGlobalMap (full European coverage) - version 10.0, Sep. 2017	None	None	None	None	None	EuroGlobalMap is a topographic dataset that covers the EU, Andorra, Croatia, Faroe Islands, Georgia, Greenland, Iceland, Kosovo, Liechtenstein, North Macedonia, Moldova, Monaco, Norway, San Marino, Serbia, Switzerland, Ukraine and Vatican at the scale 1:1 Million. It is produced in cooperation by the National Mapping Agencies of Europe, using official national databases. Thematic layers: Administrative Boundaries, Water network, Transport Network, Settlements and Named Locations. This metadata refers to the version 10 of EGM of full Europe. For more information about the data product specifications and changes with respect to the previous version of this dataset (EGM v9), please refer to the documents EGM_Specification_v10.pdf, EGM_UserGuide_v10.pdf and EGM_Changes_v10.pdf provided with the dataset (DOCUMENTS.zip). This metadata has been slightly adapted from the original metadata file provided by EuroGeographics and is to be used only for internal EEA purposes. For reference, the metadata file created by EuroGeographics is provided together with the dataset ("EGM_v10_Metadata.xsl" within the "METADATA.zip")	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/27812b75-404e-476e-8a21-07df0122d764.png	None	2019-06-04	None	None	administrative boundary|airport|artificial lake|coast|dam|data base|drainage water|estuary|geo-referenced data|geography|glacier|harbour|high-speed railway|highway|hydrography|international watercourse|lake|maritime transport|national boundary|railway network|railway station|river|road|route planning|surface water|tidal water|transportation|waterway	vector	PGeo|SHP	None	1:1000000	None	See EGM_Lineage_v10.pdf under "METADATA.zip" provided with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/27812b75-404e-476e-8a21-07df0122d764	None	None	FALSE	Administrative units|Geographical names|Population distribution - demography|Statistical units|Transport networks|Andorra|EFTA4|EU28|Faeroe Islands|Gibraltar|Greenland|Kosovo|Moldova|Monaco|North Macedonia|San Marino|Serbia|Ukraine|Vatican	Small scale applications only, map scale 1:500.000 - 1: 2.000.000, not to be used for navigation.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurogeographics_v_4258_1_mio_egm-europe_1998-2016_rev10-0	None	None
e7ee273e-70b6-4bdc-8090-0ea2adaa7277	None	OSPAR marine protected areas, Oct. 2013	None	None	None	None	None	This dataset represents the Network of Marine Protected Areas within OSPAR (Convention for the Protection of the marine Environment of the North-East Atlantic). MPAs are understood as areas for which protective, conservation, restorative or precautionary measures have been instituted for the purpose of protecting and conserving species, habitats, ecosystems or ecological processes of the marine environment. ------ Abstract derived from the abstract provided together with the dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e7ee273e-70b6-4bdc-8090-0ea2adaa7277.png	EPSG:3035	2019-06-04	None	None	natural area	vector	SHP	None	1:100000	None	Lineage provided with the dataset. ------------ One of the tools that can be used to ensure the sustainable use and protection and conservation of marine biological diversity and its ecosystems is the implementation of Marine Protected Areas (MPAs). Within OSPAR, MPAs are understood as areas for which protective, conservation, restorative or precautionary measures have been instituted for the purpose of protecting and conserving species, habitats, ecosystems or ecological processes of the marine environment. The aims of the OSPAR network of MPAs are: * to protect, conserve and restore species, habitats and ecological processes which have been adversely affected by human activities; * to prevent degradation of, and damage to, species, habitats and ecological processes, following the precautionary principle; * to protect and conserve areas that best represent the range of species, habitats and ecological processes in the maritime area. Fuller details of the sites that Contracting Parties have reported to OSPAR are held in the OSPAR MPA database (http://www.ospar.org/html_documents/ospar/html/ospar_mpa-db_populated_2009-06-01.zip). Reporting of MPAs: MPAs selected by Contracting Parties as components of the OSPAR network can be reported using the OSPAR nomination database (Latest version: July 2008). Completed versions of the database should be sent to the OSPAR Secretariat and to the lead country, Germany (Mr Tim Packeiser - tim.packeiser@bfn-vilm.de). Contracting Parties should also complete the implementation reporting format for Recommendation 2003/3 when they submit reports of selected MPAs or develop management plans or management measures for sites within the network. It is recommended that any proposals for MPAs in areas outside national jurisdiction should be submitted in the first instance in paper format using the following nomination proforma. All Areas are calculated in "Europe Albers Equal Area Conic"-Projection	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e7ee273e-70b6-4bdc-8090-0ea2adaa7277	None	None	FALSE	Protected sites|Northeast Atlantic Ocean (40W)	Terms and conditions If you have any queries, please contact JNCC Data Services, Joint Nature Conservation Committee, Monkstone House, Peterborough PE1 1JY, dave.chambers@jncc.gov.uk or telephone +44 (0)1733 - 866 882. 1. Licence We grant you a non-exclusive non-transferable licence to use, copy and adapt the data which is derived from Ordnance Survey data ('Data') in accordance with the terms of this licence agreement. You may only use the Data for your own internal business purposes meaning for any purpose relating to a statutory, governmental or regulatory function and not for financial profit or gain. You may only use the Data for your own internal business purposes meaning for any purpose relating to a statutory, governmental or regulatory function and not for financial profit or gain. This licence is applicable until 31 March 2009, after which it will terminate. We do not guarantee that the digital data is free of minor errors not materially affecting performance. JNCC do not guarantee that the digital data will be suitable for use with any GIS or any other computer software. Title, copyright and all other proprietary rights in the digital data remain vested in the following organisations known as the 'country agencies': English Nature - for all sites in England Scottish Natural Heritage - sites in Scotland Countryside Council for Wales - sites in Wales Environment and Heritage Service - sites in Northern Ireland. JNCC are acting on behalf of all of the above agencies to provide a single service for the whole of the UK (OS licence number 100017955). Intellectual property rights in the Data are owned by the Crown and the aforementioned agencies. You shall not have any rights or interests in the Data other than as described in this licence. You must ensure that you protect and do not interfere with any trade names and trade marks that are in or accompany the Data. All copies of the Data in whatever form must contain the following acknowledgement: "© Crown Copyright. All rights reserved [year document is published]". If you print a map containing some of this digital data, the following statements should appear on the map in respect of SAC, SPA and Ramsar site boundary data for England, Scotland, Wales and Northern Ireland respectively: "© Crown copyright. All rights reserved. English Nature, 100017954 [year document is published]." "© Crown copyright. All rights reserved. Scottish Natural Heritage, 100017908 [year document is published]." "© Crown copyright. All rights reserved. Countryside Council for Wales, 100018813 [year document is published]." [© Hawlfraint y Goron. Cedwir pob hawl. Cyngor Cefn Gwlad Cymru, 100018813 (blwyddyn cyhoeddi'r ddogfen).] "© Crown copyright. All rights reserved. Environment and Heritage Service (Northern Ireland), [year document is published]." Maps containing any of these digital datasets may not be published in hard copy or the internet without prior written permission from JNCC representing the interests of the country agencies. 2. Restrictions You must not sub-licence, lend, transfer or otherwise dispose of the Data or this licence or modify, alter, decompile, reverse engineer, or disassemble the Data. Furthermore, we both agree that Ordnance Survey shall benefit from the Contracts (Rights of Third Parties) Act 1999 so that Ordnance Survey can enforce its rights directly against you. 3. Promises YOU ACKNOWLEDGE THAT THE DATA HAS NOT BEEN PREPARED TO MEET YOUR INDIVIDUAL REQUIREMENTS AND THEREFORE IT IS PROVIDED TO YOU ON AN 'AS IS' BASIS. IT IS YOUR RESPONSIBILITY TO ENSURE THAT THE DATA IS FIT FOR YOUR INTENDED USE. TO THE FULLEST EXTENT PERMITTED BY LAW WE EXCLUDE ANY CONDITIONS OR TERMS THAT MAY BE IMPLIED BY LAW. WE SHALL NOT IN ANY EVENT BE LIABLE FOR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, OR INCIDENTAL LOSSES OR FOR LOSS OF DATA, LOSS OF PROFITS, LOSS OF OR INTERRUPTION TO BUSINESS WHETHER ARISING IN TORT (INCLUDING NEGLIGENCE) CONTRACT OR OTHERWISE. WE DO NOT ATTEMPT TO EXCLUDE ANY LIABILITY THAT CANNOT BE EXCLUDED. EXCEPTING THE ABOVE, OUR TOTAL AND AGGREGATE LIABILITY TO YOU IN CONTRACT, TORT (INCLUDING NEGLIGENCE) OR OTHERWISE WILL NOT AT ANY TIME EXCEED AN AMOUNT EQUAL TO ANY PURCHASE PRICE OR LICENCE FEE PAID TO JNCC. 4. Terminate We may terminate this licence at any time if any of the following events arises: You breach any of the terms of this licence; You become insolvent or bankrupt or cease to do business. In the event of termination of this licence, you shall cease to use the Data and if we request, you shall immediately return the Data or destroy them and provide to us an affidavit or sworn statement from one of your executives confirming the same. 5. Law This will be governed by and construed in accordance with English law and both parties accept the exclusive jurisdiction of the English courts. If any part of this licence is held to be invalid, unenforceable, or illegal, we both agree that the remainder of the licence will stand.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ospar_v_3035_100_k_mpa_2005-2013	None	None
486186a6-846a-412c-8641-5e07fc777289	None	Revised Soil Sealing 2006 - Jan. 2013	None	None	None	None	None	Cloud cover indicator files (deviation files) generated during the GMES Fast Track Service Precursor on Land Monitoring project of 2007 were converted to raster files with 20m resolution covering the whole area either a country or the appropriate part of it if the country is split into parts due to file size or projection reasons. These rasterised cloud cover indicator files were used as input for the further processing. Imperviousness Degree 2009 datasets were then used to generate cross-calibrated sealing degree datasets out of the bi-temporal Image2006 working units under consideration of the Corrected built-up layer 2006. The results were used to generate mosaics containing the sealing degrees as well as other outputs usable for e.g. change detection within future projects. The mosaiced results were then put to final nomenclature indicating degree of sealing ranging from 0% to 100%. Adaptations-files were calculated that indicate the corrections made by the process concerning built-up areas towards the Enhanced Sealing Degrees 2006 datasets. The term “adaptations” was used intentionally to outline that this files contains corrections of errors only and no actual changes in between a certain time span. The whole process was implemented using built-in and self-defined semi-automated procedures within the tool ERDAS Imagine 10.2. The rasterisation of the deviation files was implemented within ArcGIS 9.3.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/486186a6-846a-412c-8641-5e07fc777289.png	EPSG:3035	2019-06-04	None	None	built environment|sealing|soil surface sealing	grid	GTiff	None	20m	None	Refer to the report entitled "Delivery Report Revised Soil Sealing 2006 products EEA-38" for general information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/486186a6-846a-412c-8641-5e07fc777289	None	None	FALSE	Land cover	This dataset is available only for use by EEA and its contractors. No further dissemination is allowed.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	geoland2_r_3035_xxx_m_revised-soil-sealing_2006	None	None
d94d57f7-3b70-4a66-9b3f-e388f844a58c	None	HELCOM marine protected areas 2010 (vector) - version 1, Mar. 2013	None	None	None	None	None	This dataset is compiled from data submitted by HELCOM Contracting States. It includes the borders of designated Baltic Sea Protected Areas. The designation is based on the HELCOM Recommendation 15/5 (1994). During 2009-2010 the data was up-dated within a project to analyse the ecological coherence of the HELCOM protected areas network. The current version of the dataset was created updating an older version of the BSPA shape file. New shapes were supplied by the Contracting States. The dataset was created in the scope of the assessment on the ecological coherence of the Baltic Sea MPA networks. Results are published in "HELCOM 2010. Towards an ecologically coherent network of well-managed Marine Protected Areas – Implementation report on the status and ecological coherence of the HELCOM BSPA network. Balt. Sea Environ. Proc. No. 124B".The Attribute "Site ID" has to be used to link the data to the HELCOM BSPA Database.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d94d57f7-3b70-4a66-9b3f-e388f844a58c.png	EPSG:3035	2019-06-04	None	None	natural areas	vector	SHP	None	1:100000	None	In March 2013, the latest version of the dataset was downloaded from the HELCOM website by ISPRA (Rome, Italy), to be used in the frame of the Spatial analysis of Marine Protected Area Networks in Europe´s seas project, coordinated by the European Environment Agency (EEA) in 2013-2014. The metadata were provided by HELCOM in January 2014, after a request of information. HELCOM published an updated version in July 2013.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d94d57f7-3b70-4a66-9b3f-e388f844a58c	None	None	FALSE	Protected sites	Dataset from HELCOM Convention.	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	helcom_v_3035_100_k_mpas_2009-2013_rev1	None	None
8d75bac9-3773-4c1e-97dc-3a4825a601f0	None	Natural Earth I world cover with shaded relief, water, and drainages - version 1.3, January 2011	None	None	None	None	None	Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales (1:10m version is stored in the EEA-SDI). Featuring tightly integrated vector and raster data, with Natural Earth one can make a variety of visually pleasing, well-crafted maps with cartography or GIS software. Natural Earth was built through a collaboration of many volunteers and is supported by NACIS (North American Cartographic Information Society), and is free for use in any type of project. This dataset is composed of satellite-derived land cover data and shaded relief presented with a light, natural palette suitable for making thematic and reference maps.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8d75bac9-3773-4c1e-97dc-3a4825a601f0.png	EPSG:4326	2019-06-04	None	None	None	grid	GTiff	None	0.016666667deg	None	Extracted from http://www.shadedrelief.com/natural/pages/indepth.html Part 2: Data sources a) Landcover - Natural Earth landcover derives primarily from Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Continuous Fields (VCF), a 500-meter resolution product of the University Maryland, Global Land Cover Facility. NASA's Terra satellite collects the raw data from which MODIS VCF derives. MODIS VCF is comprised of three data channels, forest, herbaceous, and bare. Assigning flat colors (dark green for forest, light green for herbaceous, and gray for bare) to these channels, which blend into one another, creates an image of Earth that appears natural. To give the bare channel more visual interest (i.e. tonal modulation), a lightened and recolorized version of NASA's Blue Marble image substitutes for flat gray in desert and highland areas, which appear reddish-brown and gray-blue respectively. For a full discussion of natural-color mapping techniques refer to this article [http://www.shadedrelief.com/shelton/]. Other data used in Natural Earth include: b) Shaded relief - Downsampled SRTM30 with void-filling enhancements by Natural Graphics, except for Antarctica which derives from GTOPO30. c) Bathymetry - ETOPO2 obtained from NOAA's National Geophysical Data Center website. Note: only the downsampled (10,800 x 5,400) version of Natural Earth uses bathymetry. d) Glaciers and Antarctic ice shelves - Digital Chart of the World (DCW) 1:1,000,000-scale vector data originally developed by the US National Geospatial Agency (formerly DMA and, more recently, NIMA). Antarctic ice tones derive from Blue Marble. Greenland ice tones are blue-tinted shaded relief. e) Arctic pack ice - Digitized from the CIA's Polar Regions Atlas, 1978, page 12. The stylized ice boundary depicts estimated absolute minimum sea ice extent, a theoretical concept rather than an observable geographic location. Use the pack ice overlay only for small-scale and generalized map presentations. f) Seas, lakes, and rivers - Extracted from MODIS VCF. The eastern one-third of Iceland, arctic areas north of 80 degrees, all of Antarctica, and many mid-ocean islands are not included in the dataset. The water boundary accompanying GTOPO30 elevation data substitutes in the areas not covered by MODIS VCF. g) International boundaries - ESRI Shapefile provided by the Office of the Geographer, US Department of State. Boundary representation is not necessarily authoritative. h) AVHRR urban - Extracted from 1-kilometer resolution Global Land Cover Characteristics Data Base Version 2.0 distributed by the USGS. i) MODIS urban - Extracted from 1-kilometer resolution Binary MOD12Q1 data (a MODIS-based product) obtained from Boston University, Department of Geography. +++++++++++++++++++++++++++++++ Part 3: Data issues Of the nearly 525 million pixels that comprise Natural Earth, not all are perfect. Although created from satellite data, Natural Earth is a derivative graphical product that includes manual touchups. Use it accordingly. The following are potential areas of concern for users. a) Incomplete MODIS VCF landcover coverage - The eastern one-third of Iceland, arctic areas north of 80 degrees, all of Antarctica, and numerous ocean islands including Hawaii, Vanua Levu (Fiji), and the Shetland and Faroe Islands are missing from the data set. b) Filling the voids in MODIS VCF landcover involved several methods. Polar areas where little vegetation grows were the easiest to manage. Working backward from water and glacier coverages obtained from other sources, all unglaciated terrestrial areas received a bare classification and gray coloration. For eastern Iceland, where measurable vegetation exists, Binary MOD12Q1 landcover substituted for the missing MODIS VCF to show the herbaceous tundra as a pale green tint. c) Coloring small oceanic islands (most are only a few pixels wide) involved cloning landcover colors from nearby land areas with similar climate and vegetation characteristics. Manual painting in Photoshop using printed vegetation maps as a guide further enhanced the larger Hawaiian Islands. d) Discolored pixels - Pixels with unexpected colors (typically red-brown and gray) fringe some ocean shorelines and interior water bodies that fluctuate in size, a by-product of merging MODIS VCF and Blue Marble datasets. Filtering and manual cloning with the Clone Tool (rubber stamp) in Photoshop eliminated most of the discoloration. e) Snow removal - Another unwanted by-product of merged MODIS VCF and Blue Marble data was the appearance of patchy snow in the southern Andes and adjacent Patagonia between 35 and 45 degrees south latitude. Natural Earth depicts glaciers but not temporary snow cover. Sampling landcover colors from adjacent areas free of snow and painting in Photoshop removed the snow. The dramatic shaded relief of the Andes largely obscures this fix. f) Ghosted shaded relief - The Blue Marble image contains embedded shaded relief. In desert and highland areas on Natural Earth, a faint impression of the shaded relief is visible where recolorized and lightened Blue Marble contributes to the landcover. g) Polar areas - Reflecting the accuracy of the global datasets from which it derives, the resolution and general quality of data in polar regions on Natural Earth is less than that of other areas of the world. h) Water - Only the largest rivers appear on the water layer provided with Natural Earth, discontinuously. The Aral Sea, Lake Chad, and Great Salt Lake look too large.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8d75bac9-3773-4c1e-97dc-3a4825a601f0	None	None	FALSE	Administrative units|Hydrography	Public Domain (http://www.naturalearthdata.com/about/terms-of-use/)	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ne_r_4326_60_arcsec_ne1-hr-lc-sr-w-dr_2011_rev1-3	None	None
d54cd4e2-5c5a-489f-b34b-3f3fcd64eec6	None	Natural Earth cultural and physical data - version 1.4, August 2011	None	None	None	None	None	Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales (1:10m version is stored in the EEA-SDI). Featuring tightly integrated vector and raster data, with Natural Earth one can make a variety of visually pleasing, well-crafted maps with cartography or GIS software. Natural Earth was built through a collaboration of many volunteers and is supported by NACIS (North American Cartographic Information Society), and is free for use in any type of project. The carefully generalized linework maintains consistent, recognizable geographic shapes at 1:10m, 1:50m, and 1:110m scales. Natural Earth was built from the ground up in order for all data layers align precisely with one another. For example, where rivers and country borders are one and the same, the lines are coincident. Most data contain embedded feature names, which are ranked by relative importance. Other attributes facilitate faster map production, such as width attributes assigned to river segments for creating tapers. Cultural vector data themes: + Countries + Disputed areas and breakaway regions + First order admin + Populated places + Urban polygons + Parks and protected areas + Pacific nation groupings + Water boundary indicators Physical vector data themes: + Coastline + Land + Ocean + Minor islands + Reefs + Physical region features + Rivers and lake centerlines + Lakes + Glaciated areas + Antarctic ice shelves + Bathymetry + Geographic lines + Graticules	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d54cd4e2-5c5a-489f-b34b-3f3fcd64eec6.png	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:10000000	None	Some general statements about data creation for Natural Earth are available at http://www.naturalearthdata.com/about/data-creation/ and specific information per theme is available from http://www.naturalearthdata.com/downloads/10m-cultural-vectors/ and http://www.naturalearthdata.com/downloads/10m-physical-vectors/ by clicking on the "About | Issues | Version History »" button available for every dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d54cd4e2-5c5a-489f-b34b-3f3fcd64eec6	None	None	FALSE	Administrative units|Hydrography	Public Domain (http://www.naturalearthdata.com/about/terms-of-use/)	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ne_v_4326_10_mio_phys-cult_2011_rev1-4	None	None
bb5ab4fd-add7-4849-b89f-22d42a198932	None	Urban Audit 2004, Nov. 2009	None	None	None	None	None	When using this data set, it should be bibliographically referred to as 'Urban Audit, 2004'. The Urban Audit (UA) provides European urban statistics for a representative sample of large and medium-sized cities across 30 European countries. It enables an assessment of the state of individual EU cities and provides access to comparative information from other EU cities. This spatial dataset will support the study and dissemination of the UA data. It allows the visualisation of participating cities at three conceptual levels: - UA City - the core city, using an administrative definition - UA City Kernel - a concept introduced to improve comparability between large cities - Larger Urban Zone (LUZ) - approximating the functional urban region In addition, this spatial dataset allows visualisation of a 285 participating cities at two hierarchical sublevels to analyse the disparities within cities: - Sub City Districts level 1 (SCD L1) - Sub City Districts level 2 (SCD L2) The extent of this dataset is the EU-27 plus Croatia (HR), Norway (NO) and Switzerland (CH). The URAU_2004 dataset contains a polygonal feature class for UA Cities, UA City Kernels and Large Urban Zones, derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004). Polygonal feature classes for Sub City Districts are derived from the geometry of the GISCO COMM_2004 dataset (based on EuroBoundary Map 2004) or spatial data supplied by URAU delegates which has been made coincident with UA City geometry. A generalised version of each feature class allows for visualisation at the scale of 1:3 Million. UA Cities are also represented by a point topology that are derived from and synchronised with the GISCO STTL_V3 dataset of European Settlements. The UA city points are, when possible, synchronised to an Urban Fabric class in Corine Land Cover 2000.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bb5ab4fd-add7-4849-b89f-22d42a198932.jpg	None	2019-06-04	None	None	None	vector	PGeo	None	1:3000000	None	The third Urban Audit exercise was launched in 2006. The collected data is referenced to 2004. It is managed by the Directorate General for Regional Policy in collaboration with EUROSTAT. The URAU_2004 polygonal geometry for UA Cities, UA City Kernels and Large Urban Zones was derived from the GISCO Communes 2004 regional feature class. Information assigning membership of each EBM 2004 commune to each of the 3 UA conceptual levels was provided at the Country level. The URAU_2004 polygonal geometry for Sub City Districts was either derived from the GISCO Communes 2004 regional feature class (where information assigning membership of each EBM 2004 commune to hierarchical sublevels levels was provided at the Country level), or derived from geometry supplied by URAU delegates which was made coincident with UA City geometry. Generalised versions were created for display at a scale of 1:3 Million. The point geometry of the Urban Audit Cities was based on the GISCO STTL_V3 dataset of European Settlements. Points were created in 17 cases where a UA City could not be matched to a Settlement in GISCO STTL_V3 dataset. Creation of City, Kernel and LUZ feature classes: Country files listing UA status (City, Kernel and LUZ codes) of each EBM 2004 commune were joined to the geometry of the GISCO COMM_2004 regions. This was dissolved by each UA code to give the multipart regions for each UA level. Attributes were appended to each feature class by joining pre-prepared attribute tables. Creation of UA SCD2 feature classes based on communes 2004 geometry: For countries IE, MT and PT, country files listing the SCD L2 status of each EBM 2004 commune were joined to the geometry of the GISCO COMM_2004 regions. This was dissolved by each SCD L2 code to give multipart regions. Further subdivision of SCD L2 regions in the country of PT were made based on URAU_2001 geometry. Creation of UA SCD2 feature classes based on provided digital maps: For the remaining UA Cities for which SCD geometry is available, SCD L2 regions were derived from GIS files supplied by URAU delegates in various projections, coordinate systems and GIS formats. The SCD L2 regions were converted, projected and had geographic transformations applied where necessary. Some SCD L2 geometry had small manual shifts applied where the exact geographic transformation could not be defined. In the country RO, the outer SCD2 regions are not coincident with GISCO COMM_2004, and were fitted using aerial imagery. The outer SCD L2 boundaries were made coincident with UA City geometry. In the country BE, some internal boundaries were also made coincident with GISCO COMM_2004 geometry. Creation of UA SCD1: SCD attributes were appended to the SCD L2 feature class by joining pre-prepared attribute tables. SCD L1 geometry was created by dissolving SCD L2 boundaries using attributes in the supplied tables. Generalisation of polygonal feature classes to 1:3 million scale: The five polygonal feature classes were generalised for display at a scale of 1:3 Million. The geometries were combined prior to generalisation using a Union, so that boundaries shared between feature classes would also share the same simplified form. Polygons below 2.25km2 were eliminated by merging into the neighbouring polygon sharing the longest border, or deleted (for small islands). At least one feature was retained for each unique City, SCD L1, SCD L2, Kernel and LUZ. The simplification used the Bend Simplify option of the Simplify Polygon tool in ArcGIS 9.3, with a reference baseline of 1500m. Synchronisation of city points with STTL_V3: UA City points were derived by matching City regions to the GISCO Settlement Version 3 dataset (STTL_V3) based on proximity and name-matches. All except 17 UA Cities were matched, and STTL_V3 codes were retained as a UA City attribute. In several cases the STTL_V3 and UA City points were located outside the UA City regions (original or generalised). They were moved so that the point falls inside the RG, while still respecting the requirements for STTL_V3 points. Attribution of COMM_2004: The Urban Audit status of each commune was recorded by appending the City, Kernel and LUZ codes to the COMM_2004_AT attribute table.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bb5ab4fd-add7-4849-b89f-22d42a198932	None	None	FALSE	Area management/restriction/regulation zones and reporting units	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_3_mio_urau_2004_rev2009	None	None
f684f21a-6c92-488c-87a5-acaedbba7749	None	Offshore wind farms, Aug. 2011	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name_1 (Name of the windfarm) + OtherNames (Other name of the windfarm) + CountryNam (Country where the windfarm is set) + Comments (Comments) + WindfarmSt (Windfarm Status or Project Status) + CapacityMW (Capacity of the windfarm) + NoTurbines (Number of turbines (probably those that are set in the windfarm)) + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.) + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f684f21a-6c92-488c-87a5-acaedbba7749.jpg	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f684f21a-6c92-488c-87a5-acaedbba7749	None	None	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: • The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments • The contact person at Ecologic: Manuel Lago • The contact person at DHI: Andy Stock	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_2011	None	None
c32def12-567c-44f2-8ac0-328379f97793	None	GlobCorine	None	None	None	None	None	Tracking land cover changes using remotely sensed data contributes to evaluating the impact of human activities on the environment. The first GlobCover map successfully demonstrated the usefulness of MERIS time series for operational land cover observation. Jointly supported by theEuropean Space Agency and the European Environmental Agency, the GlobCorine project builds on the GlobCover findings and aims to make the full use of the MERIS time series for frequent land cover monitoring at the pan-European scale. Such an automated approach at 300 m will not identify landscape patterns as precisely as the Corine methodology, but it will significantly shorten the time response and expand the coverage. First, the automated GlobCover processing chain is adjusted towards a more land use oriented classification, compatible with the Corine typology. Second, an automated statistically-based algorithm is proposed to enable to monitor key land dynamics on a regular basis.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c32def12-567c-44f2-8ac0-328379f97793.png	EPSG:4326	2019-06-04	None	None	None	grid	GTiff	None	0.002777777777778deg	None	n/a	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c32def12-567c-44f2-8ac0-328379f97793	None	None	FALSE	Land cover	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	esa_r_4326_10_arcsec_globcorine_2006	None	None
7662905d-a70e-42a8-97ff-757fbf3e2c56	None	Offshore wind farms, Apr. 2012	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name_1 (Name of the windfarm) + OtherNames (Other name of the windfarm) + CountryNam (Country where the windfarm is set) + Comments (Comments) + WindfarmSt (Windfarm Status or Project Status) + CapacityMW (Capacity of the windfarm) + NoTurbines (Number of turbines (probably those that are set in the windfarm)) + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.) + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7662905d-a70e-42a8-97ff-757fbf3e2c56.jpg	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7662905d-a70e-42a8-97ff-757fbf3e2c56	None	None	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments The contact person at Ecologic: Manuel Lago The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_201204	None	None
8bb64993-e19d-4d67-87d4-c86128f1d33d	None	Offshore wind farms, Sep. 2012	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name (Name of the windfarm) + Country (Country code) + Status (Status code) + WindfarmStatus (Windfarm Status or Project Status) + StatusComments (Comments on the Windfarm Status or Project Status) + CapacityMWMin (Capacity of the windfarm - Min) + CapacityMWMax (Capacity of the windfarm - Max) + NoTurbinesMin (Number of turbines - Min) + NoTurbinesMax (Number of turbines - Max) + Comments (Comments) + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min) + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max) + OtherNames (Other name of the windfarm) + CountryName (Country where the windfarm is set) + Lat (Geographic coordinate - centre latitude) + Lon (Geographic coordinate - centre longitude) + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.) + IsOnHold + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8bb64993-e19d-4d67-87d4-c86128f1d33d.jpg	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/8bb64993-e19d-4d67-87d4-c86128f1d33d	None	None	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments The contact person at Ecologic: Manuel Lago The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_201209	None	None
087cb260-9b6e-49dd-80cc-b62c4e51bd88	None	Offshore wind farms, Jul. 2013	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name (Name of the windfarm) + Country (Country code) + Status (Status code) + WindfarmStatus (Windfarm Status or Project Status) + StatusComments (Comments on the Windfarm Status or Project Status) + CapacityMWMin (Capacity of the windfarm - Min) + CapacityMWMax (Capacity of the windfarm - Max) + NoTurbinesMin (Number of turbines - Min) + NoTurbinesMax (Number of turbines - Max) + Comments (Comments) + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min) + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max) + OtherNames (Other name of the windfarm) + CountryName (Country where the windfarm is set) + Lat (Geographic coordinate - centre latitude) + Lon (Geographic coordinate - centre longitude) + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.) + IsOnHold + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/087cb260-9b6e-49dd-80cc-b62c4e51bd88.jpg	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/087cb260-9b6e-49dd-80cc-b62c4e51bd88	None	None	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments The contact person at Ecologic: Manuel Lago The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_201307	None	None
61d562a9-5ba8-48f6-88f5-e913ad2a1550	None	Offshore wind farms, Jan. 2013	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name (Name of the windfarm) + Country (Country code) + Status (Status code) + WindfarmStatus (Windfarm Status or Project Status) + StatusComments (Comments on the Windfarm Status or Project Status) + CapacityMWMin (Capacity of the windfarm - Min) + CapacityMWMax (Capacity of the windfarm - Max) + NoTurbinesMin (Number of turbines - Min) + NoTurbinesMax (Number of turbines - Max) + Comments (Comments) + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min) + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max) + OtherNames (Other name of the windfarm) + CountryName (Country where the windfarm is set) + Lat (Geographic coordinate - centre latitude) + Lon (Geographic coordinate - centre longitude) + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.) + IsOnHold + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/61d562a9-5ba8-48f6-88f5-e913ad2a1550.jpg	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/61d562a9-5ba8-48f6-88f5-e913ad2a1550	None	None	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments The contact person at Ecologic: Manuel Lago The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_201301	None	None
874742f9-d62f-48b4-8414-649a15653b8c	None	Geographic Information System of the European Commission (GISCO), Jan. 2009	None	None	None	None	None	As a permanent service of Eurostat, GISCO: promotes and stimulates the use of GIS within the European Statistical System and the Commission; manages and disseminates the Geographical reference database of the Commission; acts as a reference centre concerning GIS; promotes geo-referencing of statistics and collaboration between national statistical institutes and mapping agencies; pursues and ensures standardisation and harmonisation in the exchange of Geographic Information; co-leads the INSPIRE initiative on the introduction of a European Spatial Data Infrastructure. Within the framework of the GISCO project, an extensive geo-referenced database has been developed. One of the main topics of the GISCO mandate is to extend, maintain and update this database. List of data sets offered by GISCO per ISO 19115 topic category (short name in []): a) Farming: farm accountancy data network [FADN] b) Biota: Natural Vegetation [VEGT], Biogeographical Zones [BIOG], Biotopes [BIOT] c) Boundaries: Territorial Units for Statistics (NUTS + Statistical Regions) [NUTS], Communes [COMM], Subcommunes [SCOM], Administrative regions [ADRG], Countries [CNTR] d) Climatology / Meteorology / Atmosphere: Climate [CLIM] e) Economy: Fishing Areas [FISH] f) Elevation: Digital Elevation Model [DEM], Bathimetry [BATH] g) Environment: Land Quality [LNQU], Designated Areas [DSIG] h) Geo-scientific information: Soil Erosion Risk [SOER], Geology Geomorphology ErosionTrend [ERTR], Soil [SOIL], Sediments Discharges [SDDS], Coastal Erosion [COER] i) Imagery/Base maps/Earth cover: Land Cover [LCOV] j) Inland waters: Water Patterns [WTPT], Lakes [LAKE], Watersheds [WTSH] k) Locations: Geographical Grid [GGGR], LUCAS [LUCA], Settlements [STTL], Gazetteer [GAZZ] l) Oceans: Coastline boundaries [COAS], Sea Level rise [SELV] m) Planning/Cadastre: Inter Regional [IREG], Leader Zones [LEAD], Less Favoured Areas [LFAV], National Support [NTSU], Structural Funds Zones [STFU], Urban Audit [URAU] n) Society: Population [POPU], Degree of urbanisation [DGUR] o) Transportation: Airports [AIRP], Ferry links [FERR], Ports [PORT], Road infrastructure [ROAD], Railway infrastructure [RAIL] p) Utilities/Communication: Nuclear Power [NUPW], Energy Production [ENPR], Energy Transport [ENTR] Further details can be found in gisco_naming_conventions_20090831.pdf	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/874742f9-d62f-48b4-8414-649a15653b8c.jpg	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:20000000	None	n/a	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/874742f9-d62f-48b4-8414-649a15653b8c	1996	2009	TRUE	Administrative units|Area management/restriction/regulation zones and reporting units|Hydrography|Land cover	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4326_x_x_gisco_20090113	None	None
9806e8e2-dc31-4ef9-9244-8c0ba457b6d8	None	LandScan Global Population Database 2012	None	None	None	None	None	LandScan Global Population Database 2012. Population counts at 30 arc second resolution. Detailed information are to be found in cover_letter_ls12.pdf.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9806e8e2-dc31-4ef9-9244-8c0ba457b6d8.png	EPSG:4326	2019-06-04	None	None	None	grid	AIG	None	0.008333333333333333deg	None	Detailed information are to be found in cover_letter_ls12.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2012.htm.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9806e8e2-dc31-4ef9-9244-8c0ba457b6d8	2012	2012	FALSE	Population distribution — demography	License. Terms and conditions of use are available in the file LandScan_Product_License_Agreement_EEA.pdf	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ornl_g_4326_30_arcsec_landscan_2012	None	None
659c2707-f35d-40ce-86cc-684c00dc91b1	None	LandScan Global Population Database 2009	None	None	None	None	None	LandScan Global Population Database 2009. Population counts at 30 arc second resolution.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/659c2707-f35d-40ce-86cc-684c00dc91b1.png	EPSG:4326	2019-06-04	None	None	None	grid	AIG	None	0.008333333333333333deg	None	n/a	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/659c2707-f35d-40ce-86cc-684c00dc91b1	2009	2009	FALSE	Population distribution — demography	License. Terms and conditions of use are available in the file landscan09_licensing.pdf	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ornl_g_4326_30_arcsec_landscan_2009	None	None
0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa	None	LandScan Global Population Database 2010	None	None	None	None	None	LandScan Global Population Database 2010. Population counts at 30 arc second resolution.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa.png	EPSG:4326	2019-06-04	None	None	None	grid	AIG	None	0.008333333333333333deg	None	n/a	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0b7f34af-0202-4ae4-aa06-ae4d91b8c9fa	2010	2010	FALSE	Population distribution — demography	License. Terms and conditions of "OFFLINE" use are available in the file Landscan_License_Agreement_-_SHRINKWRAP_License_2011.doc Terms of use in web services are available in the file LandScan_License_Agreement_-_East_View_Web_Application_DRAFT.doc	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ornl_g_4326_30_arcsec_landscan_2010	None	None
ee86deb3-5981-4373-a257-ddc28b2cf7a8	None	LandScan Global Population Database 2011	None	None	None	None	None	LandScan Global Population Database 2011. Population counts at 30 arc second resolution. Detailed information are to be found in cover_letter_ls11.pdf.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee86deb3-5981-4373-a257-ddc28b2cf7a8.png	EPSG:4326	2019-06-04	None	None	None	grid	AIG	None	0.008333333333333333deg	None	Detailed information are to be found in cover_letter_ls11.pdf, IMPORTANT.pdf and in LSpopMetadata/lspop2011.htm.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee86deb3-5981-4373-a257-ddc28b2cf7a8	2010	2010	FALSE	Population distribution — demography	License. Terms and conditions of "OFFLINE" use are available in the file Landscan_License_Agreement_-_SHRINKWRAP_License_2011.pdf Terms of use in web services are available in the file LandScan_License_Agreement_-_East_View_Web_Application_DRAFT.doc	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ornl_g_4326_30_arcsec_landscan_2011	None	None
0f6f0a59-4938-40d8-9772-42fd787d5efa	None	Offshore wind farms, May 2014	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name (Name of the windfarm) + Country (Country code) + Status (Status code) + WindfarmStatus (Windfarm Status or Project Status) + StatusComments (Comments on the Windfarm Status or Project Status) + CapacityMWMin (Capacity of the windfarm - Min) + CapacityMWMax (Capacity of the windfarm - Max) + NoTurbinesMin (Number of turbines - Min) + NoTurbinesMax (Number of turbines - Max) + Comments (Comments) + TurbineMWMin (Capacity of the turbine (set-up in the windfarm) - Min) + TurbineMWMax (Capacity of the turbine (set-up in the windfarm) - Max) + OtherNames (Other name of the windfarm) + CountryName (Country where the windfarm is set) + Lat (Geographic coordinate - centre latitude) + Lon (Geographic coordinate - centre longitude) + IsEstimatedLocation (This is where we know that a project exists but we don't know its exact location.) + IsOnHold + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0f6f0a59-4938-40d8-9772-42fd787d5efa.jpg	EPSG:4326	2019-06-04	None	None	None	vector	FGeo	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0f6f0a59-4938-40d8-9772-42fd787d5efa	2014	2014	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments The contact person at Ecologic: Manuel Lago The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_201405	None	None
9d342efd-09da-4dbe-baa0-61cc54e1f598	None	Offshore wind farms, Jan. 2012	None	None	None	None	None	Offshore Wind Farm locations and attribute data. List of main attributes provided in the spatial dataset: + WindfarmId (ID of the windfarm) + Name_1 (Name of the windfarm) + OtherNames (Other name of the windfarm) + CountryNam (Country where the windfarm is set) + Comments (Comments) + WindfarmSt (Windfarm Status or Project Status) + CapacityMW (Capacity of the windfarm) + NoTurbines (Number of turbines (probably those that are set in the windfarm)) + IsEstimate (IsEstimate is meant to read Is Estimated Location. This is where we know that a project exists but we don't know its exact location, for example, we know that its location off the coast from a given town. An example of this would be FR27 Cote d'Albatre II.) + Developers (Developer(s) of the windfarm) + Owners (Owner of the windfarm) + Operators (Operator of the windfarm)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9d342efd-09da-4dbe-baa0-61cc54e1f598.jpg	EPSG:4326	2019-06-04	None	None	None	vector	SHP	None	1:1000000	None	Different sources are used e.g. news reports, press releases, communications with companies.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9d342efd-09da-4dbe-baa0-61cc54e1f598	2011	2011	FALSE	Energy resources	License terms:1. The geo-spatial data sets (data base) Offshore windfarms is available for use by a limited number of identified users (3) within the EEA and ETC/ICM. You can use the spatial data sets (data base) for the purpose of the EEA work only.2. General terms and conditions: a. The Product (the geospatial data set Offshore windfarms) shall not be modified, reproduced, distributed, resold, reproduced, transmitted, displayed, published, performed, broadcast or in any way exploited in whole or in part without the prior written permission of the SELLER (4C Offshore). b. SELLER and its suppliers shall retain title and all ownership rights of the Product.3. Specific EEA conditions: a. The results of the data analysis (where the Product is used) can be published in paper and online reports and maps. The data can be shown on future EEA web applications in both an unmodified form (i.e. how the geospatial data set is delivered) and a modified form. However, the dataset CANNOT be made available for download in any form. Geo-spatial data base is delivered to 3 users who are granted to use the data base for the purpose of the EEA work, namely: • The contact person at European Environment Agency: Johnny Reker, Project Manager - Marine and maritime assessments • The contact person at Ecologic: Manuel Lago • The contact person at National Technical University of Athens (NTUA): Kimon Hadjibiros	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	4coffshore_v_4326_1_mio_windfarms_2012	None	None
123d0c9a-a6fa-4f2d-b887-5d8e5468faed	None	EUNIS habitat classification (revised) SERIES - version 1, May 2019	None	None	None	None	None	The EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat from natural to artificial, from terrestrial to freshwater and marine. An extensive review of the EUNIS habitat classification was initiated in 2012 based on European vegetation plot data. The first groups of the classification to be revised were forest and other wooded land, heathland, scrub, tundra and grasslands. The review concerns codes, scientific names and descriptions. A new element of the revised classification is that indicator species are identified for level 3 habitat types. The revision of the groups were concluded after a consultation with EIONET and vegetation experts. The review is on-going and more groups will become available. The data coverage is EEA39.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/123d0c9a-a6fa-4f2d-b887-5d8e5468faed.png	None	2019-06-04	None	Habitats and biotopes	forest|grassland|habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra	grid	FGeo	None	1000m	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/123d0c9a-a6fa-4f2d-b887-5d8e5468faed	None	None	FALSE	EEA39	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_x_3035_xx_xxx_eunis-hab_p_1940-2017_series	None	None
d6724082-0256-4c03-8791-cb664f72997e	None	EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY	None	None	None	None	None	This series references the predicted potential distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat suitability. The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	grassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 3833 Regularized training gain: 0.7296 Unregularized training gain: 0.7715 Iterations: 500 Training AUC: 0.8144 #Test samples: 425 Test gain: 0.7372 Test AUC: 0.8091 AUC Standard Deviation: 0.0068 #Background points: 13831 bio_12_etrs2_ras contribution: 7.2249 bio_15_etrs2_ras contribution: 1.3313 bio_18_etrs2_ras contribution: 5.0275 bio_4_etrs2_ras contribution: 57.2887 bio_8_etrs2_ras contribution: 0.1087 dist2water1km contribution: 0.099 pet_he_yr contribution: 25.3307 soil_ph contribution: 0.2365 solar_1km contribution: 3.3526 bio_12_etrs2_ras permutation importance: 6.7298 bio_15_etrs2_ras permutation importance: 2.9637 bio_18_etrs2_ras permutation importance: 3.5609 bio_4_etrs2_ras permutation importance: 60.7858 bio_8_etrs2_ras permutation importance: 0.5247 dist2water1km permutation importance: 0.5285 pet_he_yr permutation importance: 20.3984 soil_ph permutation importance: 0.6564 solar_1km permutation importance: 3.8518 Entropy: 8.8058 Prevalence (average of logistic output over background sites): 0.2375 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0703 Fixed cumulative value 1 area: 0.5494 Fixed cumulative value 1 training omission: 0.0055 Fixed cumulative value 1 test omission: 0.0118 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2449 Fixed cumulative value 5 area: 0.4424 Fixed cumulative value 5 training omission: 0.0324 Fixed cumulative value 5 test omission: 0.0447 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3549 Fixed cumulative value 10 area: 0.3875 Fixed cumulative value 10 training omission: 0.0788 Fixed cumulative value 10 test omission: 0.0776 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0905 Minimum training presence logistic threshold: 0.0045 Minimum training presence area: 0.7482 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0047 Minimum training presence binomial probability: 4.13E-32 10 percentile training presence cumulative threshold: 12.1187 10 percentile training presence logistic threshold: 0.3765 10 percentile training presence area: 0.3699 10 percentile training presence training omission: 0.0999 10 percentile training presence test omission: 0.0847 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 28.4686 Equal training sensitivity and specificity logistic threshold: 0.4751 Equal training sensitivity and specificity area: 0.2656 Equal training sensitivity and specificity training omission: 0.2656 Equal training sensitivity and specificity test omission: 0.2565 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.9074 Maximum training sensitivity plus specificity logistic threshold: 0.3398 Maximum training sensitivity plus specificity area: 0.3974 Maximum training sensitivity plus specificity training omission: 0.0663 Maximum training sensitivity plus specificity test omission: 0.0706 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 28.8768 Equal test sensitivity and specificity logistic threshold: 0.4768 Equal test sensitivity and specificity area: 0.2635 Equal test sensitivity and specificity training omission: 0.269 Equal test sensitivity and specificity test omission: 0.2635 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 12.1714 Maximum test sensitivity plus specificity logistic threshold: 0.3772 Maximum test sensitivity plus specificity area: 0.3695 Maximum test sensitivity plus specificity training omission: 0.1002 Maximum test sensitivity plus specificity test omission: 0.0847 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.5019 Balance training omission, predicted area and threshold value logistic threshold: 0.1058 Balance training omission, predicted area and threshold value area: 0.5243 Balance training omission, predicted area and threshold value training omission: 0.007 Balance training omission, predicted area and threshold value test omission: 0.0118 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 2.8524 Equate entropy of thresholded and original distributions logistic threshold: 0.1671 Equate entropy of thresholded and original distributions area: 0.4825 Equate entropy of thresholded and original distributions training omission: 0.0162 Equate entropy of thresholded and original distributions test omission: 0.0165 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d6724082-0256-4c03-8791-cb664f72997e	None	None	FALSE	Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-e-series_p_1940-20xx_v01_r00	None	None
77603271-8502-4b4b-98ed-5bd188ef38d1	None	EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types, distribution based on vegetation plot data SERIES - version 1, MM. YYY	None	None	None	None	None	This series references all EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types samples from vegetation plot data. The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	grassland|habitat|lichen|modelling|moss|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/77603271-8502-4b4b-98ed-5bd188ef38d1	None	None	FALSE	Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-e-series_p_1940-20xx_v01_r00	None	None
1c6c1e16-51fc-4dbc-aab8-9e8498dd8a3b	None	EUNIS forest and other wooded land habitat types, distribution based on vegetation plot data SERIES - version 1, MM. YYY	None	None	None	None	None	This series references all EUNIS woodland, forest and other wooded land habitat types samples from vegetation plot data. The verified habitat samples used are derived from the Braun-Blanquet database (http://www.sci.muni.cz/botany/vegsci/braun_blanquet.php?lang=en) which is a centralised database of vegetation plots and comprises copies of national and regional databases using a unified taxonomic reference database.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1c6c1e16-51fc-4dbc-aab8-9e8498dd8a3b	None	None	FALSE	Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-series_p_1940-20xx_v01_r00	None	None
c6e945a9-a1d1-443b-849a-2335db2685bd	None	EUNIS heathland, scrub and tundra habitats, distribution based on vegetation plot data SERIES - version 1, MM. YYY	None	None	None	None	None	This series references all heathland, scrub and tundra habitat types samples from vegetation plot data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/XXX	EPSG:3035	2019-06-04	None	Habitats and biotopes	habitat|heathland|modelling|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The database compiled for the Braun-Blanquet project comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. Attributes added to the distribution data are: YEAR (year of recording) and PRECISION (precision in meters, indicating how precise the location is indicated).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c6e945a9-a1d1-443b-849a-2335db2685bd	None	None	FALSE	Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-s-series_p_1940-20xx_v01_r00	None	None
c5343356-54f0-4c42-b7aa-d8b145054550	None	EUNIS heathland, scrub and tundra habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY	None	None	None	None	None	This series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	habitat|modelling|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 3833 Regularized training gain: 0.7296 Unregularized training gain: 0.7715 Iterations: 500 Training AUC: 0.8144 #Test samples: 425 Test gain: 0.7372 Test AUC: 0.8091 AUC Standard Deviation: 0.0068 #Background points: 13831 bio_12_etrs2_ras contribution: 7.2249 bio_15_etrs2_ras contribution: 1.3313 bio_18_etrs2_ras contribution: 5.0275 bio_4_etrs2_ras contribution: 57.2887 bio_8_etrs2_ras contribution: 0.1087 dist2water1km contribution: 0.099 pet_he_yr contribution: 25.3307 soil_ph contribution: 0.2365 solar_1km contribution: 3.3526 bio_12_etrs2_ras permutation importance: 6.7298 bio_15_etrs2_ras permutation importance: 2.9637 bio_18_etrs2_ras permutation importance: 3.5609 bio_4_etrs2_ras permutation importance: 60.7858 bio_8_etrs2_ras permutation importance: 0.5247 dist2water1km permutation importance: 0.5285 pet_he_yr permutation importance: 20.3984 soil_ph permutation importance: 0.6564 solar_1km permutation importance: 3.8518 Entropy: 8.8058 Prevalence (average of logistic output over background sites): 0.2375 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0703 Fixed cumulative value 1 area: 0.5494 Fixed cumulative value 1 training omission: 0.0055 Fixed cumulative value 1 test omission: 0.0118 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2449 Fixed cumulative value 5 area: 0.4424 Fixed cumulative value 5 training omission: 0.0324 Fixed cumulative value 5 test omission: 0.0447 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3549 Fixed cumulative value 10 area: 0.3875 Fixed cumulative value 10 training omission: 0.0788 Fixed cumulative value 10 test omission: 0.0776 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0905 Minimum training presence logistic threshold: 0.0045 Minimum training presence area: 0.7482 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0047 Minimum training presence binomial probability: 4.13E-32 10 percentile training presence cumulative threshold: 12.1187 10 percentile training presence logistic threshold: 0.3765 10 percentile training presence area: 0.3699 10 percentile training presence training omission: 0.0999 10 percentile training presence test omission: 0.0847 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 28.4686 Equal training sensitivity and specificity logistic threshold: 0.4751 Equal training sensitivity and specificity area: 0.2656 Equal training sensitivity and specificity training omission: 0.2656 Equal training sensitivity and specificity test omission: 0.2565 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.9074 Maximum training sensitivity plus specificity logistic threshold: 0.3398 Maximum training sensitivity plus specificity area: 0.3974 Maximum training sensitivity plus specificity training omission: 0.0663 Maximum training sensitivity plus specificity test omission: 0.0706 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 28.8768 Equal test sensitivity and specificity logistic threshold: 0.4768 Equal test sensitivity and specificity area: 0.2635 Equal test sensitivity and specificity training omission: 0.269 Equal test sensitivity and specificity test omission: 0.2635 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 12.1714 Maximum test sensitivity plus specificity logistic threshold: 0.3772 Maximum test sensitivity plus specificity area: 0.3695 Maximum test sensitivity plus specificity training omission: 0.1002 Maximum test sensitivity plus specificity test omission: 0.0847 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.5019 Balance training omission, predicted area and threshold value logistic threshold: 0.1058 Balance training omission, predicted area and threshold value area: 0.5243 Balance training omission, predicted area and threshold value training omission: 0.007 Balance training omission, predicted area and threshold value test omission: 0.0118 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 2.8524 Equate entropy of thresholded and original distributions logistic threshold: 0.1671 Equate entropy of thresholded and original distributions area: 0.4825 Equate entropy of thresholded and original distributions training omission: 0.0162 Equate entropy of thresholded and original distributions test omission: 0.0165 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c5343356-54f0-4c42-b7aa-d8b145054550	None	None	FALSE	Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-s-series_p_1940-20xx_v01_r00	None	None
54ad1700-9a0a-48ff-a9b1-e91e13493118	None	EUNIS heathland, scrub and tundra habitats, modelled distribution of habitat probability (raster) - series	None	None	None	None	None	This series references the modelled distribution of EUNIS heathland, scrub and tundra habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png	EPSG:3035	2019-06-04	None	None	forest|natural area|remote sensing|wood	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54ad1700-9a0a-48ff-a9b1-e91e13493118	None	None	FALSE	Habitats and biotopes	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_20_m_eunis-hab-p_1940-2011_series	None	None
932aaeb4-ba71-4e56-b4bb-e1daac3710ac	None	EUNIS woodland, forest and other wooded land habitats, modelled distribution of habitat probability (raster) - series	None	None	None	None	None	This series references the modelled distribution of EUNIS woodland, forest and other wooded land habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png	EPSG:3035	2019-06-04	None	None	forest|natural area|remote sensing|wood	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/932aaeb4-ba71-4e56-b4bb-e1daac3710ac	None	None	FALSE	Habitats and biotopes	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_20_m_eunis-hab-p_1940-2011_series	None	None
796c2ce6-f44d-4588-8fd6-2681d99b97b6	None	EUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, Braun-Blanquet project plot data (vector) - series	None	None	None	None	None	This series references all EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat types samples from vegetation plot data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a.png	EPSG:3035	2019-06-04	None	None	coastal environment|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/796c2ce6-f44d-4588-8fd6-2681d99b97b6	None	None	FALSE	Habitats and biotopes	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b_1940-2011_series	None	None
aec16bd6-db2b-4d45-a8cd-f8a0820c4c48	None	EUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, modelled distribution of habitat probability (raster) - series	None	None	None	None	None	This series references the modelled distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png	EPSG:3035	2019-06-04	None	None	forest|natural area|remote sensing|wood	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/aec16bd6-db2b-4d45-a8cd-f8a0820c4c48	None	None	FALSE	Habitats and biotopes	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_20_m_eunis-hab-p_1940-2011_series	None	None
d44f2631-79d9-401d-80ce-ca0c0ffb3fef	None	EUNIS coastal habitats, modelled distribution of habitat probability (raster) - series	None	None	None	None	None	This series references the modelled distribution of EUNIS coastal habitat probability. This is based on the habitat suitability maps downscaled to the Copernicus High Resolution layer forest and other remote sensing data. --TO BE EDITED (Mette) --	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/932aaeb4-ba71-4e56-b4bb-e1daac3710ac.png	EPSG:3035	2019-06-04	None	None	forest|natural area|remote sensing|wood	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d44f2631-79d9-401d-80ce-ca0c0ffb3fef	None	None	FALSE	Habitats and biotopes	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_20_m_eunis-hab-p_1940-2011_series	None	None
18ceba86-c0e8-49a7-bcc3-6ba6749ef380	None	EUNIS forest and other wooded land habitat types, predicted distribution of habitat suitability SERIES - version 1, MM. YYY	None	None	None	None	None	This series references the predicted potential distribution of EUNIS woodland, forest and other wooded land habitat suitability. The modelled suitability for the EUNIS habitat type is an indication of where conditions are favourable for the habitat type based on sample plot data (Braun-Blanquet database) and the Maxent software package. The modelled suitability map may be used as a proxy for the geographical distribution of the habitat type. Note however that it is not representing the actual distribution of the habitat type.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png	EPSG:3035	2019-06-04	None	None	forest|habitat|modelling|natural area|terrestrial ecosystem	grid	GTiff	None	1000m	None	The database compiled for the Braun-Blanquet project is a compilation of various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading the databases into Braun-Blanquet database a quality check is performed by Alterra and Masaryk University. If possible, detected errors are corrected and reported back to the data provider. For the modelling of the habitat suitability map the Maxent software is used (http://www.cs.princeton.edu/~schapire/maxent/). The grid values in the map represent the probability (ranging from 0-1) that the cell is suitable for the habitat. The grid file represents the habitat suitability of the EUNIS type. For the modelling the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used. Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea). Statistical output of the model: #Training samples: 3833 Regularized training gain: 0.7296 Unregularized training gain: 0.7715 Iterations: 500 Training AUC: 0.8144 #Test samples: 425 Test gain: 0.7372 Test AUC: 0.8091 AUC Standard Deviation: 0.0068 #Background points: 13831 bio_12_etrs2_ras contribution: 7.2249 bio_15_etrs2_ras contribution: 1.3313 bio_18_etrs2_ras contribution: 5.0275 bio_4_etrs2_ras contribution: 57.2887 bio_8_etrs2_ras contribution: 0.1087 dist2water1km contribution: 0.099 pet_he_yr contribution: 25.3307 soil_ph contribution: 0.2365 solar_1km contribution: 3.3526 bio_12_etrs2_ras permutation importance: 6.7298 bio_15_etrs2_ras permutation importance: 2.9637 bio_18_etrs2_ras permutation importance: 3.5609 bio_4_etrs2_ras permutation importance: 60.7858 bio_8_etrs2_ras permutation importance: 0.5247 dist2water1km permutation importance: 0.5285 pet_he_yr permutation importance: 20.3984 soil_ph permutation importance: 0.6564 solar_1km permutation importance: 3.8518 Entropy: 8.8058 Prevalence (average of logistic output over background sites): 0.2375 Fixed cumulative value 1 cumulative threshold: 1 Fixed cumulative value 1 logistic threshold: 0.0703 Fixed cumulative value 1 area: 0.5494 Fixed cumulative value 1 training omission: 0.0055 Fixed cumulative value 1 test omission: 0.0118 Fixed cumulative value 1 binomial probability: 0.00E+00 Fixed cumulative value 5 cumulative threshold: 5 Fixed cumulative value 5 logistic threshold: 0.2449 Fixed cumulative value 5 area: 0.4424 Fixed cumulative value 5 training omission: 0.0324 Fixed cumulative value 5 test omission: 0.0447 Fixed cumulative value 5 binomial probability: 0.00E+00 Fixed cumulative value 10 cumulative threshold: 10 Fixed cumulative value 10 logistic threshold: 0.3549 Fixed cumulative value 10 area: 0.3875 Fixed cumulative value 10 training omission: 0.0788 Fixed cumulative value 10 test omission: 0.0776 Fixed cumulative value 10 binomial probability: 0.00E+00 Minimum training presence cumulative threshold: 0.0905 Minimum training presence logistic threshold: 0.0045 Minimum training presence area: 0.7482 Minimum training presence training omission: 0 Minimum training presence test omission: 0.0047 Minimum training presence binomial probability: 4.13E-32 10 percentile training presence cumulative threshold: 12.1187 10 percentile training presence logistic threshold: 0.3765 10 percentile training presence area: 0.3699 10 percentile training presence training omission: 0.0999 10 percentile training presence test omission: 0.0847 10 percentile training presence binomial probability: 0.00E+00 Equal training sensitivity and specificity cumulative threshold: 28.4686 Equal training sensitivity and specificity logistic threshold: 0.4751 Equal training sensitivity and specificity area: 0.2656 Equal training sensitivity and specificity training omission: 0.2656 Equal training sensitivity and specificity test omission: 0.2565 Equal training sensitivity and specificity binomial probability: 0.00E+00 Maximum training sensitivity plus specificity cumulative threshold: 8.9074 Maximum training sensitivity plus specificity logistic threshold: 0.3398 Maximum training sensitivity plus specificity area: 0.3974 Maximum training sensitivity plus specificity training omission: 0.0663 Maximum training sensitivity plus specificity test omission: 0.0706 Maximum training sensitivity plus specificity binomial probability: 0.00E+00 Equal test sensitivity and specificity cumulative threshold: 28.8768 Equal test sensitivity and specificity logistic threshold: 0.4768 Equal test sensitivity and specificity area: 0.2635 Equal test sensitivity and specificity training omission: 0.269 Equal test sensitivity and specificity test omission: 0.2635 Equal test sensitivity and specificity binomial probability: 0.00E+00 Maximum test sensitivity plus specificity cumulative threshold: 12.1714 Maximum test sensitivity plus specificity logistic threshold: 0.3772 Maximum test sensitivity plus specificity area: 0.3695 Maximum test sensitivity plus specificity training omission: 0.1002 Maximum test sensitivity plus specificity test omission: 0.0847 Maximum test sensitivity plus specificity binomial probability: 0.00E+00 Balance training omission, predicted area and threshold value cumulative threshold: 1.5019 Balance training omission, predicted area and threshold value logistic threshold: 0.1058 Balance training omission, predicted area and threshold value area: 0.5243 Balance training omission, predicted area and threshold value training omission: 0.007 Balance training omission, predicted area and threshold value test omission: 0.0118 Balance training omission, predicted area and threshold value binomial probability: 0.00E+00 Equate entropy of thresholded and original distributions cumulative threshold: 2.8524 Equate entropy of thresholded and original distributions logistic threshold: 0.1671 Equate entropy of thresholded and original distributions area: 0.4825 Equate entropy of thresholded and original distributions training omission: 0.0162 Equate entropy of thresholded and original distributions test omission: 0.0165 Equate entropy of thresholded and original distributions binomial probability: 0.00E+00	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/18ceba86-c0e8-49a7-bcc3-6ba6749ef380	None	None	FALSE	Habitats and biotopes|Albania|Armenia|Austria|Azerbaijan|Belarus|Belgium|Bosnia and Herzegovina|Bulgaria|Croatia|Cyprus|Czechia|Denmark|Estonia|Finland|France|Georgia|Germany|Greece|Hungary|Iceland|Ireland|Kazakhstan|Kosovo|Kyrgyzstan|Latvia|Liechtenstein|Lithuania|Luxembourg|Malta|Moldova|Monaco|Montenegro|Netherlands|North Macedonia|Norway|Poland|Portugal|Romania|Russian Federation|San Marino|Serbia|Slovakia|Slovenia|Spain|Sweden|Switzerland|Tajikistan|Turkey|Turkmenistan|Ukraine|United Kingdom|Uzbekistan	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-series_p_1940-20xx_v01_r00	None	None
4cafda6d-f635-4fb2-b2b0-47731eeb28f8	None	Corine Land Cover 2006 (raster 100m) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2006, raster 100m starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4cafda6d-f635-4fb2-b2b0-47731eeb28f8.png	EPSG:3035	2019-06-04	None	None	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4cafda6d-f635-4fb2-b2b0-47731eeb28f8	None	None	FALSE	Land cover	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2006_series	None	None
88bc8c56-55d6-45a4-91bf-a03843b3e3e7	None	European catchments and Rivers network system (Ecrins) - version 1, Jun. 2012	None	None	None	None	None	Ecrins is acronym for European catchments and Rivers network system. It is a geographical information system of the European hydrographical systems with a full topological information. Ecrins is a composite system made from the CCM developed by the JRC, Corine land Cover, WFD reporting elements, etc. It is organised from a layer of 181,071 “functional elementary catchments (FECs)” which average size is ~62 km2, fully connected with explicit identifier (ID) relationships and upstream area. Catchments are grouped as sub-basins, river basin districts (actual and functional to meet hydrographical continuity). The catchments are as well organised according to their sea shore of emptying to meet Marine Strategy delineations. Catchments are drained by 1,348,163 river segments, sorted as “main drains” (connecting together the FECs) and secondary drains (internal to a FEC). river segments mimic the natural drainage, however fulfilling the topological constraint of “0,1 or 2 upstreams, single or 0 downstream”. Each segment is populated with distance to the sea, to ease further processing. They are connected to elementary catchments and nodes documented with altitude. Segments are as well documented with a “dummy river code”, fully populated that earmark each segment with the most distant to the outlet in each drainage basin and, everywhere this has been possible, with a “true river” ID based on river naming. A layer of lakes and dams has been elaborated. Lakes polygons (70,847) are taken from Corine Land cover , WFD Art. 13 and in some cases, from CCM “water layer”. Lakes inlets and outlets are set with the segment ID and where relevant, the dams making the lake is documented. All lakes which depths and volume was found have been updated. Version 1.0 here presented still contain some topological errors (e.g. incorrect segment branching), because inaccurate geometry. They are noted and a correction procedure is underway.	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88bc8c56-55d6-45a4-91bf-a03843b3e3e7.png	EPSG:3035	2019-06-04	None	Hydrography	hydrography	vector	PGeo	None	1:250000	None	Product is based on CCM River and Catchment Database, version 2.1 (vector, lines and points data sets). Coastal definition has been substituted by SeaVox se delineation adjusted to CCM shore line. Lakes polygons are taken from Corine land Cover 2006, XFD Art 13 deliveries and to a lesser extend from CCM water layer. Lakes relevance has been checked against ERM Euroregional maps(layers 2010). River names taken from many sources: ERM, Wikipedia, WFD deliveries and water bodies deliveries, EEA data base on dams, etc. Dams have been taken from several sources: Icold, French ministry of energy, public web sites. Their position has been found by the EEA using a web based tool applied to GoogleEarth, completed by Eionet deliveries. Corrections are proposed by innumerable source, of which EU member states (as provision of the water bodies) and consultants, primarily Pöyry during systematic calculation of discharges at segment level.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88bc8c56-55d6-45a4-91bf-a03843b3e3e7	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_ecrins_1990-2006_rev01	None	None
af51f22b-bd28-4217-aa73-1c95c08577d1	None	European catchments and Rivers network system (Ecrins), gazetteer - version 1, Jun. 2012	None	None	None	None	None	This data set, albeit a geodatabases, does not contain feature classes. For the time being, it only contains flat tables Rinames (river names) that links to C_TR feature class with ID Riv_ID (river identifier) and to RivNamesAlias, when more than one alternate name was found for the river. Ancillary table Tr2Riv makes another updated relationship between segments (as from C_Tr) and RivNames / RivNamesAlias in case of need to compute some statistics (e.g. named rivers per basin, etc.) When relevant, other gazetting could be added to this data set and will be documented in next releases. The graphic shows the rivers names (excluding those unnamed).	https://www.eea.europa.eu/data-and-maps/data/european-catchments-and-rivers-network	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af51f22b-bd28-4217-aa73-1c95c08577d1.png	EPSG:3035	2019-06-04	None	Hydrography	hydrography	vector	PGeo	None	1:250000	None	Names are taken from several sources, of which open source national datasets, art 13 deliveries (water bodies having reference to a river in national system), dams database (dam is often documented with the river on which it is), Wikipedia (when rivers is inlet /outlet of lake) and ERM. Names are assigned by the most probable identity between a source and a segment in Ecrins, following the affluent levels. In next release, monitoring information shall be mobilised as well.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af51f22b-bd28-4217-aa73-1c95c08577d1	None	None	FALSE	None	Unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged. The EEA re-use policy follows Directive 2003/98/EC of the European Parliament and the Council on the re-use of public sector information throughout the European Union and Commission Decision 2006/291/EC, Euratom on the re-use of Commission information. The EEA accepts no responsibility or liability whatsoever for the re-use of content accessible on its website. Any inquiries about re-use of content on the EEA website should be addressed to Ove Caspersen, EEA, Kongens Nytorv 6, DK-1050 Copenhagen K, Tel +45 33 36 71 00, Fax +45 33 36 71 99, e-mail copyrights at eea.europa.eu	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_250_k_ecrins-gazetteer_1990-2006_rev01	None	None
d82219d7-79bd-416b-81b7-c521c6cbc835	None	Population density grid for 2006 based on GEOSTAT data (raster)	None	None	None	None	None	This dataset contains the number of inhabitants per km² for the reference year 2006 and located within the Grid_ETRS89-LAEA_1K. The data set should be referred to GEOSTAT_Grid_POP_2006_1K. The dataset is compiled from the following data sources: aggregated residential population for the year 2006 (AT, SE, FI, SI, NL); estimated residential population for the year 2006 based on mixed national sources (EE, PT, FR, NO, PL, UK (England, Wales)); disaggregated residential population for the year 2006 using using population statistics at LAU2 level for 2006 as data input and Soil Sealing and Corine LC 2006 (BE, BG, CH, CZ, DE, EL, ES, HU, IE, IS, IT, LI, LT, LU, LV, MT, RO, SK, UK (Scotland, Northern Ireland) as ancillary data for the disaggregation. No data available for CY due to absent LAU2 data for Cyprus for the reference year 2006. The dataset is based on a product of the GEOSTAT project which is supported by the European Commission and the European Forum for Geostatistics EFGS. This abstract is based on the abstract provided with the original dataset (CSV file).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d82219d7-79bd-416b-81b7-c521c6cbc835.png	EPSG:3035	2019-06-04	None	Population distribution — demography	population density|population distribution	grid	GTiff	None	1000m	None	Production of original dataset available at http://www.gisco.eurostat.cec/shared-data/GEOSTAT-1km-Grid/ : Austria (DATA_SRC = AT): Aggregation from national register data using building points reprojected to ETRS89-LAEA. Estonia (DATA_SRC = EE): The population data for non Census years is only available on municipality level (LAU2). The 2006 population gridmap is an estimation which is based on different datasets - 2011 Census building centroids (contains also building addresses and coordinates), persons address data from population register, data about new buildings from buildings register and the official 2006 population counts on municipalities level. Buildings that were built between 2006 and 2011 were excluded. Based on building centroids the 2006 population in municipalities were calculated and the numbers were compared to the official population counts for the year 2006. If there were differences between the two numbers then the missing/redundant number of persons were added/deleted to/from randomly selected buildings within the same municipality. The building centroid datset were aggregated to grids. Finland (DATA_SRC = FI): Data were recast to 1km2 ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated by using building points. The Netherlands ((DATA_SRC = NL): Source population register, allocated by address-coordinates. Recast from 100m x 100m grid (aggregated) in national projection (EFGS 28992). Not allocated were a number of 6,930 persons from a total of 16,334,210 persons on the 1 January 2006 Poland (DATA_SRC = PL): Use of address points layer (reference 2011) as a parameter to disaggregate population distribution from the administrative units (reference 2006) into the 1km2 grid.Portugal: The population data for 2006 is only available on municipality level (LAU1). These data and the 2001 and 2011 population distribution on 1km2 grid was used to estimate the 2006 population for each grid cell. Determination of the percentage breakdown of population in 2001 and 2011 within each municipality that reside in a particular grid; Estimate the 2006 grid cell population as linear combined estimates of the previous percentages with fixed weights multiplied by the 2006 population in the municipality. Sweden (DATA_SRC = SE: Data was aggregated using building locations. 21249 persons not located in any grid cell. Slovenia (DATA_SRC = SI): Aggregation using building locations. 15 persons not located in any grid cell.Norway: Data recast to 1 km x 1 km ETRS89-LAEA grids. Original grid cell size 250 m x 250 m in ETRS89-TM35FIN. Original national data aggregated using building points. Denmark (DATA_SRC = DK): Aggregation of household locations. France: Combination of tax register, census data and cadastral data. United Kingdom (England, Wales) (DATA_SRC = GB): The map is based on postcode population estimates. Population estimates have been produced for 1.33m residential postcodes. Austrian Institute for Technology (DATA_SRC = AIT) (for BE, BG, CH, CZ, DE, EL, ES, IE, IT, HU, LI, LU, LT, LV, MT, RO, SK, UK (Scotland, Northern Ireland): input data EEA Fast Track Service Precursor on Land Monitoring - Degree of soil sealing 2006 (© European Environment Agency) Population per LAU2 (LAU1) 2006 (© Eurostat) LAU2 borderlines (© Eurogeographics) Corine Land Cover 2006 (© European Environment Agency) Open Street Map data (Geodaten © OpenStreetMap) Methodology: 1.Creating non-residential masks (1:100.000); Non-residential built-up areas of Corine Land Cover (CLC 1.2, 1.3, 1.4) Rasterized road and rail network from OSM data2. Masking of Degree of Soil Sealing Layer resulting in Housing Density Layer 3. Linear Disaggregation of LAU2 population data to Housing Density Layer 4. Aggregation of disaggregated population to 1km grid. -+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+- Production of current dataset: Production of a raster file based on an Inspire compliant grid.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d82219d7-79bd-416b-81b7-c521c6cbc835	None	None	FALSE	None	The data may be freely copied, published and distributed by the user within the user’s own organisation (enterprise, governmental authority or municipality).For the data produced by Statistics AT, FI, FR, SE, DK, PL, EE, SI, NL, NO, UK, PT (as encoded in the field DATA_SRC) the following limitations apply to the use and dissemination of the grid dataset outside the user’s organisation: the dataset shall not, either in whole or in part, be sold to others or otherwise used for commercial purposes by the user. The user shall also refrain from disseminating the dataset to multiple clients, outside the user’s own organisation.In addition, for SE all rights to the product shall be the property of Statistics Sweden under the provisions of the Copyright Act (1960:729). The Copyright Act contains provisions for penalties and damages related to copyright violation. Users who wish to use the dataset for commercial purposes or to dissiminate the dataset without charges should contact Statistics Sweden in order to make an agreement. Contact information: regionalt@scb.se.In addition for DK all rights to the product shall be the property of Statistics Denmark (www.dst.dk). Users that wish to use the dataset for commercial purposes or to disseminate the dataset without charges should contact Statistics Denmark (www.dst.dk) in order to make an agreement. Contact information: Erik Sommer, Chief Adviser, Customer Centre, eso@dst.dk . Trade with Statistics Denmark is governed by Danish law. Any dispute that cannot be resolved by negotiations between the parties must be settled by the Maritime and Commercial Court in Copenhagen as the court of first instance. Information about the business conditions for use of data from Statistics Denmark http://www.dst.dk/en/ForSale/dataandanalysis/Business-conditions.aspx and http://www.dst.dk/en/ForSale/dataandanalysis/General-terms-and-conditions.aspx#govFor the data created by AIT (as encoded in the field DATA_SRC) the rights to the data shall be the property of the European Commission. The AIT data may be freely used and disseminated without restrictions.	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_pop-density-geostat_2006	None	None
54a9568c-30bc-4f45-8990-f4c2fff44f82	None	Specially Protected Areas of Mediterranean Importance 1992 - 2012 (vector) - version 1, Sep. 2013	None	None	None	None	None	The Specially Protected Areas of Mediterranean Importance (SPAMI) - version 1 (09/2013) is a dataset produced within the Spatial analysis of Marine Protected Area Networks in Europe´s seas, elaborated by ISPRA (Rome, Italy) and coordinated by the European Environment Agency (EEA) in 2013-2014. SPAMI are marine protected areas (MPAs) declared in the frame of the Barcelona Convention for the Protection of the marine environment and the coastal Region of the Mediterranean Sea (Barcelona Convention). Since no official layer of all the SPAMI areas was available in 2013, the shapefiles of each SPAMI were downloaded from the MAPAMED website (www.mapamed.org) and, for the purpose of running spatial MPA analysis and evaluations, they were merged in a unique dataset. Then, they were joined to a tabular list of SPAMI provided by the Regional Activity Centre for Specially Protected Areas (RACSPA), containing information on the names, dates of establishment and general characteristics of the sites (i.e. surface area). This list was received directly through the Secretariat, who is the depository of this information. NB: Reprojection issues have been identified for some polygons (e.g. in islands West of Italy)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/54a9568c-30bc-4f45-8990-f4c2fff44f82.png	EPSG:3035	2019-06-04	None	Protected sites	natural areas	vector	SHP	None	1:1000000	None	The SPAMI sites represented in the shapefile have been defined by the contracting parties within the legal framework of the Barcelona Convention. Since no official layer of all the SPAMI areas was available in 2013, the shapefiles of each SPAMI were downloaded from the MAPAMED website (www.mapamed.org) and, for the purpose of running spatial MPA analysis and evaluations, they were merged in a unique dataset. Then, they were joined to a tabular list of SPAMI provided by the Regional Activity Centre for Specially Protected Areas (RACSPA), containing information on the names, dates of establishment and general characteristics of the sites (i.e. surface area). This list was received directly through the Secretariat, who is the depository of this information.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/54a9568c-30bc-4f45-8990-f4c2fff44f82	None	None	FALSE	None	Restricted	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_mio_spami-mpas_1992-2012_rev1	None	None
7c2dd14f-60b6-4009-aca8-5d20300479a9	None	Status and trends of bird populations 2008-2012 for public access, Nov. 2015	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 12 of the Birds Directive (2009/147/EC) covering the period 2008 to 2012. The data covers the EU 27. The dataset contains a support version of tabular data as reported by Member States, targeted for the assessment of bird population status at the European level for the 2008-2012 reporting period. This includes population sizes and trends (short and long term) for breeding and wintering populations, as well as pressures and threats for Special Protection Area trigger species. This version does not include species flagged as sensitive by Member States. Information on the data quality of the 2008-2012 reporting round is available at http://bd.eionet.europa.eu/article12.	https://www.eea.europa.eu/data-and-maps/data/article-12-database-birds-directive-2009-147-ec	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7c2dd14f-60b6-4009-aca8-5d20300479a9.png	EPSG:3035	2019-06-04	None	Species distribution	EC directive|European Union|bird|breeding bird|migratory bird|nature conservation policy	vector	SHP|SQLite	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2008 to 2012. The data was supplied under the Article 12 (Birds Directive 2009/147/EC) reporting process. More information is available in the report art12_delivery_note_technical_report.pdf available together with the dataset.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7c2dd14f-60b6-4009-aca8-5d20300479a9	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA)	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_status-trends-birds-public_2008-2012	None	None
2e12957f-2921-4069-ae7f-0c9fee0d64f8	None	Conservation status of species 2007-2012 for public access aggregated by Member State, Sep. 2014	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. This version does not include species flagged as sensitive by Member States. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.	https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2e12957f-2921-4069-ae7f-0c9fee0d64f8.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Species distribution	EC directive|European Union|habitat|nature conservation|nature conservation policy|species	vector	SHP	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_MS took place.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2e12957f-2921-4069-ae7f-0c9fee0d64f8	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-species-public-agg-ms_2007-2012	None	None
ee91f323-b845-4a6b-ade4-f3c354c6ed07f	None	EEA reference grid for Azores (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee91f323-b845-4a6b-ade4-f3c354c6ed07f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee91f323-b845-4a6b-ade4-f3c354c6ed07f	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pt-20_2013	None	None
81ddbbee-78c1-4362-a156-68950610568cf	None	EEA reference grid for Azores (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/81ddbbee-78c1-4362-a156-68950610568cf.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/81ddbbee-78c1-4362-a156-68950610568cf	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pt-20_2013	None	None
f78749ac-3d9c-45b3-96e5-7ff54cfdbddef	None	EEA reference grid for Madeira (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f78749ac-3d9c-45b3-96e5-7ff54cfdbddef.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f78749ac-3d9c-45b3-96e5-7ff54cfdbddef	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-pt-30_2013	None	None
cc36fcc1-7d1e-498d-8232-46637bfc2177f	None	EEA reference grid for Canary Islands (10km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cc36fcc1-7d1e-498d-8232-46637bfc2177f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	10000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cc36fcc1-7d1e-498d-8232-46637bfc2177f	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_km_eea-ref-grid-ic_2013	None	None
b1d025b8-df6b-4085-b0ac-0273edd92c57f	None	EEA reference grid for Canary Islands (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b1d025b8-df6b-4085-b0ac-0273edd92c57f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b1d025b8-df6b-4085-b0ac-0273edd92c57f	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-ic_2013	None	None
2d8fc6d2-c551-4d2d-99f3-93c1f3099dcff	None	EEA reference grid for Canary Islands (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcff.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d8fc6d2-c551-4d2d-99f3-93c1f3099dcff	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-ic_2013	None	None
b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f	None	EEA reference grid for Azores (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f.png	EPSG:3035	2019-06-21	None	Geographical grid systems	gridding	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b96d4584-2d1c-4f6f-a9cb-a2da2b7eea57f	2013	2013	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pt-20_2013	None	None
fbd91951-43eb-4718-bccc-2b06f7a49c46f	None	EEA reference grid for Madeira (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fbd91951-43eb-4718-bccc-2b06f7a49c46f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	gridding	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fbd91951-43eb-4718-bccc-2b06f7a49c46f	2013	2013	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-pt-30_2013	None	None
4c600ff2-5110-41b4-8267-821a880e8561	None	Administrative units from EuroBoundaryMap and GAUL (raster 1000m)	None	None	None	None	None	This dataset maps NUTS3 regions (Nomenclature of territorial units for statistics) or where not available: Administrative Units from EuroBoundaryMap onto an Inspire compliant grid with 1000m resolution. For countries not covered by EuroBoundaryMap, GAUL1 (Global administrative unit layers) administrative units have been used to complement the geographical coverage. In a final step, the raster layer has been patched with *grown* GAUL0 administrative units, in order to cover remaining Corine Land Cover v15 data areas in classes 111 to 522. The attribute table corresponding to the dataset is available in the file EBMv5_G2008_Regions_min_1ha_111_522_legend_final	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c600ff2-5110-41b4-8267-821a880e8561.png	EPSG:3035	2019-06-04	None	Administrative units	administrative boundary	grid	GTiff	None	1000m	None	Refer to EBMv5_G2008_Regions_min_1ha_111-522.README for a more readable description. # README file about the generation of the admin boundary layer # used in the LEAC cube for Corine Land Cover (CLC) v15 data # # Hermann, March 2012 ================================ 0. Input data and GIS tools used ================================ A) Data EuroBoundaryMap (full European coverage) - version 5.0, Jan. 2011 (short name: EBM_v5) http://sdi.eea.europa.eu/internal-catalogue/?uuid=8cee3968-f302-48cc-a886-3f7d6ac36a7d Global Administrative Unit Layers (GAUL), national level (level 0) for reference year 2008 - version 2009, Dec. 2008 (short name: GAUL2008/GAUL0) http://sdi.eea.europa.eu/internal-catalogue/?uuid=074b8e76-5e49-467c-aa30-ed013afd41a9 Global Administrative Unit Layers (GAUL), first level (level 1) for reference year 2008 - version 2009, Dec. 2008 (short name: GAUL2008/GAUL1) http://sdi.eea.europa.eu/internal-catalogue/?uuid=5f9a77a6-8f6f-4551-a158-82e138336a6f Corine Land Cover 1990 (raster 100m) - version 15, Aug. 2011 http://sdi.eea.europa.eu/internal-catalogue/?uuid=4ead9faf-5732-4dd2-aaf1-4b10db063fe9 Corine Land Cover 2000 (raster 100m) - version 15, Aug. 2011 http://sdi.eea.europa.eu/internal-catalogue/?uuid=38068464-b303-4221-a7e5-fec4473c3267 Corine Land Cover 2006 (raster 100m) - version 15, Aug. 2011 http://sdi.eea.europa.eu/internal-catalogue/?uuid=87a1e572-e9fa-4090-803a-eb576ddff644 B) GIS tools ogr2ogr and gdal_rasterize, from the GDAL - Geospatial Data Abstraction Library, http://gdal.org Source code for version 1.9.0dev taken from trunk (http://trac.osgeo.org/gdal/browser/trunk) GRASS - Geographic Resources Analysis Support System, http://grass.osgeo.org/ Source code for version 6.4.2svn taken from trunk (http://trac.osgeo.org/grass/browser/grass/trunk) All data processing was carried out on a Debian Linux 64-bit system (EEA server name: whitefish) Command line tools used for executing scripts: bash 4.1.5 and gawk 4.0.0 ============================================================================== 1. Selection and rasterization of EBM_v5 and GAUL features into GeoTIFF format ============================================================================== The chosen approach is a quite detailed selection of individual features from the input vector layers. The purpose is to give different raster values to different feature types, so that later, the rasterised features can be patched together and potentially re-classified as needed (also for non-LEAC use cases). A) Selection of features from EBM_v5, re-projection to LAEA (EPSG:3035) # Vector 1: NUTS3 regions from NUTS_3, where country code (ICC) is not NULL, add RID = FID + 1000 ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_NUTS_3.shp StatisticalRegions/NUTS_3.shp -lco ENCODING=UTF-8 \ -sql "select ICC,NUTS_CODE,NUTS_LABEL,cast(FID+1000 as integer(8)) as RID from NUTS_3 where ICC is not NULL" # Vector 2: Inland water from EBM_A, TAA = 7; left join EBM_NUTS.dbf to get the NUTS3 code # create a tmp file first, which will be joined with Vector 1, in order to get the RID for the NUTS3 region ogr2ogr -t_srs epsg:3035 $OUTDIR/tmp_EBMv5_EBM_A_TAA-EQ7.shp EBM_A.shp -lco ENCODING=UTF-8 \ -sql "select EBM_A.ICC as ICC,EBM_A.SHN as SHN,TAA,NUTS1,NUTS2,NUTS3 \ from EBM_A left join 'EBM_NUTS.dbf'.EBM_NUTS on EBM_A.SHN = EBM_NUTS.SHN where TAA = 7" # Generate final Vector 2 shapefile, including RID ogr2ogr $OUTDIR/EBMv5_EBM_A_TAA-EQ7.shp $OUTDIR/tmp_EBMv5_EBM_A_TAA-EQ7.shp -lco ENCODING=UTF-8 \ -sql "select E.*,N.NUTS_CODE,N.RID from 'tmp_EBMv5_EBM_A_TAA-EQ7' E \ left join '$OUTDIR/EBMv5_NUTS_3.dbf'.EBMv5_NUTS_3 N on E.NUTS3 = N.NUTS_CODE" # Vector 3a: FullEurope, TAA = 1,3,4,7 ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_TAA-LT5orEQ7.shp EBM_A.shp -lco ENCODING=UTF-8 \ -sql "select SHN,TAA,ICC from EBM_A where TAA < 5 or TAA = 7" # Vector 3b: Add Kosovo and Serbia, TAA = 1,3,4,7 ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_TAA-LT5orEQ7.shp EBM_A.shp \ -sql "select SHN,TAA,ICC from EBM_A where TAA < 5 or TAA = 7" \ -update -append # -nln EBMv5_EBM_A_TAA-LT5orEQ7 # Vector 4a: Administrative Units for Kosovo ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp -lco ENCODING=UTF-8 \ -sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+3000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'KS'" # Vector 4b: Add Administrative Units for Serbia ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_3.shp \ -sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+4000 as integer(8)) as RID from AdministrativeUnit_3 where ICC = 'RS'" \ -update -append # -nln EBMv5_EBM_A_AdministrativeUnits # Vector 4c: Add Administrative Units for Moldova ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp \ -sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+5000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'MD'" \ -update -append # -nln EBMv5_EBM_A_AdministrativeUnits # Vector 4d: Add Administrative Units for Ukraine ogr2ogr -t_srs epsg:3035 $OUTDIR/EBMv5_EBM_A_AdministrativeUnits.shp AdministrativeUnits/AdministrativeUnit_2.shp \ -sql "select ICC,SHN,ISN,NAMN,DESN,cast(FID+5000 as integer(8)) as RID from AdministrativeUnit_2 where ICC = 'UA'" \ -update -append # -nln EBMv5_EBM_A_AdministrativeUnits B) Rasterisation of selected EBM_v5 features, in 1km resolution # Raster 1: NUTS3 regions by RID gdal_rasterize EBMv5_NUTS_3.shp EBMv5_NUTS_3_NUTS3.tif \ -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a RID -a_nodata 0 -co compress=deflate -co tiled=yes # Raster 2: inland water areas, by N.RID = RID of their NUTS3 region gdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_NUTS3.tif \ -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a N.RID -a_nodata 0 -co compress=deflate -co tiled=yes \ # Raster 3: inland water areas, by country code (8000..8999) # a) Initialise GeoTIFF, by burning 1st inland water country code gdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_ICC.tif \ -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes \ -burn 8003 -where "E.ICC = 'ND'" # b) Burn remaining inland water country codes into the same GeoTIFF awk 'NR > 4 { print $1, $2 - 1000 }' $SCRIPTDIR/EBMv5_ICC_plus_9000.txt | while read code num ; do gdal_rasterize EBMv5_EBM_A_TAA-EQ7.shp EBMv5_EBM_A_TAA-EQ7_ICC.tif \ -burn $num -where "E.ICC = '$code'" done # Raster 4: main and inland water areas, by country code (9000..9999) # a) Initialise GeoTIFF, by burning 1st country code gdal_rasterize EBMv5_EBM_A_TAA-LT5orEQ7.shp EBMv5_EBM_A_TAA-LT5orEQ7_ICC.tif \ -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes \ -burn 9003 -where "ICC = 'ND'" # b) Burn remaining country codes into the same GeoTIFF awk 'NR > 4 { print $1, $2 }' $SCRIPTDIR/EBMv5_ICC_plus_9000.txt | while read code num ; do gdal_rasterize EBMv5_EBM_A_TAA-LT5orEQ7.shp EBMv5_EBM_A_TAA-LT5orEQ7_ICC.tif \ -burn $num -where "ICC = '$code'" done # Raster 5: Administrative Units regions by RID gdal_rasterize EBMv5_EBM_A_AdministrativeUnits.shp EBMv5_EBM_A_AdministrativeUnits_AU.tif \ -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a RID -a_nodata 0 -co compress=deflate -co tiled=yes C) Selection of features from GAUL2008, re-projection to LAEA (EPSG:3035) # GAUL2008/GAUL1: select all areas which are not disputed ogr2ogr -s_srs epsg:4326 -t_srs epsg:3035 g2008_1.shp /home/peifer/gaul/unzipped/g2008_1.shp \ -sql "select g1.*,ia.*,cast(ADM1_CODE+10000 as integer(8)) as RID from g2008_1 g1 \ left join 'international_country_attributes.dbf'.international_country_attributes ia on g1.ADM0_CODE = ia.ADM0_CODE \ where g1.DISP_AREA is NULL" -lco ENCODING=UTF-8 -overwrite # GAUL2008/GAUL0: select all areas which are not disputed ogr2ogr -s_srs epsg:4326 -t_srs epsg:3035 g2008_0.shp /home/peifer/gaul/unzipped/g2008_0.shp \ -sql "select g0.*,ia.*,cast(ADM0_CODE+100000 as integer(8)) as RID from g2008_0 g0 \ left join 'international_country_attributes.dbf'.international_country_attributes ia on g0.ADM0_CODE = ia.ADM0_CODE \ where g0.DISP_AREA is NULL" -lco ENCODING=UTF-8 -overwrite D) Rasterisation of selected GAUL features, in 1km resolution # GAUL2008/GAUL1 gdal_rasterize g2008_1.shp g2008_1.tif -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes -a RID # GAUL2008/GAUL0 gdal_rasterize g2008_0.shp g2008_0.tif -tr 1000 1000 -te 1500000 900000 7400000 5500000 \ -ot int32 -a_nodata 0 -co compress=deflate -co tiled=yes -a RID =================================================================================== 2. Import of generated GeoTIFFs into GRASS database, growth of GAUL2008/GAUL0 layer =================================================================================== A) Import of all GeoTIFFs from step 1 into GRASS # Start GRASS, change to the directory where the GeoTIFFs are for f in *.tif ; do r.in.gdal $f out=${f%.tif} --o done B) Growth of GAUL2008/GAUL0 layer # Generate GAUL0_PLUS1KM r.grow g2008_0 out=GAUL0_PLUS1KM --o # Let GAUL0_PLUS1KM grow.. for i in {1..184} ; do echo "GAUL0 PLUS $i KM +++ $(date)" && echo && r.grow GAUL0_PLUS${i}KM out=GAUL0_PLUS$(( $i + 1 ))KM --o g.remove GAUL0_PLUS${i}KM done =================================================================================== 3. Patch imported raster layers together, generate final products for the LEAC cube =================================================================================== A) Generate a patchwork of raster layers, as admin boundary layer for the LEAC cube r.patch input=EBMv5_NUTS_3_NUTS3,EBMv5_EBM_A_TAA-EQ7_NUTS3,EBMv5_EBM_A_TAA-EQ7_ICC,\ EBMv5_EBM_A_AdministrativeUnits_AU,EBMv5_EBM_A_TAA-LT5orEQ7_ICC,\ g2008_1,GAUL0_PLUS185KM output=EBMv5.G2008.Regions_min_1ha_111-522 B) Apply a MASK to cut the generated patchwork back to the extent of CLC version 15 raster data (100m) # The MASK itself is in 1000m resolution and covers all areas that have at least 1 ha class 111..522 data # in the earlier generated LEAC layers: FK90, FK00 or clc06 (FK90 and FK00 layers are documented separately) r.mask rast=laea_grid.FK90_FK00_clc06.min_1ha_111-522 C) Generate sorted tabular output for the LEAC cube r.stats --q -c laea_grid,EBMv5.G2008.Regions_min_1ha_111-522 | awk -f filter.awk | sort > laea_grid_EBMv5_G2008_Regions_min_1ha_111-522.sorted The result is a text file with 5942628 rows and 3 columns. The first 10 records look like this: GridNum GridCode ADM_ID 115471032 1kmE1547N1032 12720 115471033 1kmE1547N1033 1076 115471034 1kmE1547N1034 12720 115481031 1kmE1548N1031 1076 115481032 1kmE1548N1032 1076 115481033 1kmE1548N1033 1076 115481034 1kmE1548N1034 1076 115481035 1kmE1548N1035 12720 115481036 1kmE1548N1036 12720 Codes and names for all ADM_ID values, and the parent/child relationship of all regions, as used in the LEAC cube is documented in: EBMv5_G2008_Regions_min_1ha_111_522_legend_final D) Generate GeoTIFF output for other purposes r.out.gdal EBMv5.G2008.Regions_min_1ha_111-522 createopt=compress=deflate,tiled=yes \ nodata=0 out=EBMv5_G2008_Regions_min_1ha_111-522.tif *** END OF DOCUMENTATION ***	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c600ff2-5110-41b4-8267-821a880e8561	2008	2011	TRUE	None	License	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_admin-units-leac_2008-2010	None	None
380c4c6f-410a-4f60-8ddc-c13e53b607db	None	Geographic Information System of the European Commission (GISCO), Aug. 2012	None	None	None	None	None	GISCO is a Eurostat service which promotes and stimulates the use of GIS within the European Statistical System and the Commission. It is responsible for the management and dissemination of the Geographical reference database of the Commission. It produces maps, spatial analysis, promotes geo-referencing of statistics and provides user support for Commission users of GIS. GISCO is one of the leaders of the INSPIRE initiative, supporting the implementation of the directive for the establishment of a European Spatial Data Infrastructure. The datasets extracted from GISCO in August 2012 are for the year 2010: + Administrative boundaries at country level + Coastlines + Communes + EEZ + NUTS These metadata are derived from the original metadata records available at Inspire@EC.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/380c4c6f-410a-4f60-8ddc-c13e53b607db.png	None	2019-06-04	None	Administrative units	administrative boundary	vector	FGeo	None	1:60000000	None	The dataset is based on the geometry from EBM v5.0. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2008) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2010, NUTS_2010, CNTR_2010, EEZ_2010 and COAS_2010, are fully coherent and compliant. Each scale level in the CNTR_2010 dataset consists of 2 feature classes (regions and boundaries) The boundaries and regions are related to each other through a relationship table. In addition to the region and boundary feature classes there is also 1 label feature class which is scale independent. For each CNTR in the region feature class there is exactly 1 label. Further information on the validity and lineage is available in the database manual on the INSPIRE@EC group on CIRCABC. https://circabc.europa.eu/w/browse/bf8ae55b-a09b-4f24-a0b8-1f5784e0080c	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/380c4c6f-410a-4f60-8ddc-c13e53b607db	None	None	FALSE	None	This data set should be referred to as &quot;Countries, 2010 - European Commission, Eurostat/GISCO&quot; An overview of the use conditions is given below. The detailed use conditions are available here: https://circabc.europa.eu/d/d/workspace/SpacesStore/6f5186f3-908b-413a-8687-191604976751/EuroGeographics%20Use%20Conditions%20-%20From%20Contract.pdf Access to the detailed data is restricted to the personnel of the European Commission, the Executive Agencies and contractors, due to intellectual property rights. The contractors can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission - Eurostat/GISCO (ESTAT-GISCO@ec.europa.eu). Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO. Data can be published in the form of electronic images, statistical tables and on paper. Subsets of this data can be made available to the general public for non commercial use, only if the data covered either has a spatial resolution of 1:1.000.000 or smaller, or less than 20% of the original EuroGeographics data is shown for the selected extent. The source and intellectual property have always to be acknowledged. To this end, an acknowledgement as specified below must be visible on any printed or electronic publication using the data. Acknowledgement notice, depending on the language used in the publication: English: Administrative boundaries: © EuroGeographics, © FAO (UN), © TurkStat Source: European Commission – Eurostat/GISCO French: Limites administratives: © EuroGeographics, © FAO (UN), © TurkStat Source: Commission européenne – Eurostat/GISCO German: Verwaltungsgrenzen: © EuroGeographics, © FAO (UN), © TurkStat Quelle: Europäische Kommission - Eurostat/GISCO For publications in languages other than English, French or German, the translation of the acknowledgement notice in the language of the publication must be used.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_x_x_gisco_20120817	None	None
14a2fec1-fea8-4452-bf87-969e39c942cd	None	Geographic Information System of the European Commission (GISCO), Dec. 2015	None	None	None	None	None	GISCO (Geographic Information System of the COmmission) is responsible for meeting the European Commission's geographical information needs at 3 levels: the European Union, its member countries, and its regions. In addition to creating statistical and other thematic maps, GISCO manages a database of geographical information, and provides related services to the Commission. Its database contains core geographical data covering the whole of Europe, such as administrative boundaries, and thematic geospatial information, such as population grid data. Some data are available for download by the general public and may be used for non-commercial purposes. For further details and information about any forthcoming new or updated datasets, see http://ec.europa.eu/eurostat/web/gisco/geodata. The datasets extracted from GISCO in its 2013 release and include in the EEA catalogue of geospatial datasets are: + Administrative boundaries at country level (COUNTRIES 2013) at 1:100.000 scale + Communes (COMMUNES 2013) at 1:100.000 scale + NUTS (NUTS 2013) at 1:100.000 scale	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/14a2fec1-fea8-4452-bf87-969e39c942cd.png	None	2019-06-04	None	Administrative units	administrative boundary	vector	FGeo	None	1:100000	None	The dataset is based on the geometry from EBM v8.x. of EuroGeographics for the members of Eurogeographics, the Global Administrative Units Layer (2013) from FAO (UN) and geometry from the Turkish National Statistical Office. This resulted in a common repository of geometry of which the different datasets were derived. The different scale levels were derived of generalisations of the common repository on 100K scale. This means that within each scale level the feature classes of all these datasets: COMM_2013, NUTS_2013, CNTR_2013, EEZ_2013 and COAS_2013, are fully coherent and compliant. More information on the lineage of the different datasets can be found in their respective metadata files.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/14a2fec1-fea8-4452-bf87-969e39c942cd	None	None	FALSE	None	Eurostat's general copyright notice and licence policy is applicable and can be consulted on http://ec.europa.eu/eurostat/about/policies/copyright. Please also be aware of the European Commission's general conditions (https://ec.europa.eu/info/legal-notice_en) Moreover, there are specific provisions applicable to some of the datasets available for downloading. The download and usage of these data is subject to their acceptance. Please see the respective section for more details on http://ec.europa.eu/eurostat/web/gisco/geodata/reference-data. The European Commission, its Executive Agencies and European Environmental Agency may use the datasets under the following usage restrictions: https://webgate.ec.europa.eu/fpfis/wikis/display/GISCO/License+conditions+for+EuroGeographics+Administrative+and+Topographic+spatial+datasets. Contractors of the European Commission, its Executive Agencies and EEA can access the data after signing an agreement form. The agreement form can be requested by the responsible service from European Commission – Eurostat/GISCO ESTAT-GISCO@ec.europa.eu. Once the form has been signed, access will be provided by European Commission - Eurostat/GISCO.	FALSE	European Commission, Eurostat (ESTAT), GISCO	FALSE	None	None	None	None	None	None	None			None	None	eurostat_v_4258_x_x_gisco_2013	None	None
d84256cd-61f4-43dd-9a8d-5442aa54fbe3	None	Population density disaggregated with Corine land cover 2000	None	None	None	None	None	Raster data on population density using Corine Land Cover 2000 inventory. Data are available at 100 meters resolution.	https://www.eea.europa.eu/data-and-maps/data/population-density-disaggregated-with-corine-land-cover-2000-2	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d84256cd-61f4-43dd-9a8d-5442aa54fbe3.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Gallego F.J., 2010, A population density grid of the European Union, Population and Environment. 31: 460-473 http://www.springerlink.com/content/h22617v812p51014/?p=a5de0fad279b474187e630362f4f2fc8&pi=3	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d84256cd-61f4-43dd-9a8d-5442aa54fbe3	None	None	FALSE	None	No limitations	FALSE	The Joint Research Centre	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_popu01clc_2000_rev5	None	None
2d6f67b9-c912-4ba5-94ee-1af821a24729	None	Corine Land Cover 2006 with gap filling provided by CLC 2000 (raster 100m) - version 16, Apr. 2012	None	None	None	None	None	Corine Land Cover 2000 and 2006 have a different spatial coverage, Greece missing in CLC 2006. This dataset combines Corine Land Cover 2006 and Corine Land Cover 2000 in order to provide the largest spatial coverage with the most up-to-date data. Therefore where no CLC 2006 data were available, CLC 2000 data have been used.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/2d6f67b9-c912-4ba5-94ee-1af821a24729.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Input data: Corine Land Cover 2006 (raster 100m) - version 16, Apr. 2012 [clc06] and Corine Land Cover 2000 (raster 100m) - version 16, Apr. 2012 [clc00] The rule used in GRASS was: r.mapcalc clc06_clc00_100 = "clc06 <= 523 ? clc06 : clc00"	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/2d6f67b9-c912-4ba5-94ee-1af821a24729	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-combined_2000-2006_rev16	None	None
7353cada-14cf-4b0b-b46b-21702637497f	None	Elevation Breakdown (raster 1 Km)	None	None	None	None	None	This layer defines homogeneous areas as function of height, slope and distance to the sea. The Elevation Breakdown is used to allocate Land Cover Changes into homogeneous areas as function of height, slope and distance to the sea. It defines five relief typologies: 1) Low coasts, 2) High Coasts, 3) Inlands, 4) Uplands and 4) Mountains. The previous enumeration corresponds to values in the grid.	https://www.eea.europa.eu/data-and-maps/data/elevation-breakdown	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/7353cada-14cf-4b0b-b46b-21702637497f.png	EPSG:3035	2019-06-04	None	Elevation	None	grid	GTiff	None	1000m	None	This version of the Elvation Breakdown was created using the LEAC 1 Km grid as reference system. Areas next to the sea (<10 km from the coastline) were considered Coasts and splited in two categories: Low coasts (< 50 m) and High coasts (> 50 m). Inlands were the areas between 0 and 200 m outside the coastal strip. Uplands were the zones between 200 - 500 m plus the flat areas between 500 and 1000. The slopy areas between 500 and 1000 m and all the areas over 1000 m were classified as Mountains (see enclosed PDF file for further details).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7353cada-14cf-4b0b-b46b-21702637497f	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_elevation-breakdown_2006	None	None
88d21578-4e7c-40d9-b2be-ad137a6a3bbd	None	Conservation status of habitat types 2007-2012 aggregated at EU-27 level, Sep. 2014	None	None	None	None	None	Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.	https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/88d21578-4e7c-40d9-b2be-ad137a6a3bbd.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	None	vector	SHP	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_EU27 took place.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/88d21578-4e7c-40d9-b2be-ad137a6a3bbd	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-hab-agg-eu27_2007-2012	None	None
b9d6d212-7846-47d2-aed0-02665b6a9559	None	Conservation status of habitat types 2007-2012 aggregated by Member State, Sep. 2014	None	None	None	None	None	Gridded Distribution of Habitats as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17.	https://www.eea.europa.eu/data-and-maps/data/article-17-database-habitats-directive-92-43-eec-1	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b9d6d212-7846-47d2-aed0-02665b6a9559.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	None	vector	SHP	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process. In addition, an aggregation on the fields CODE and CS_MS took place.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b9d6d212-7846-47d2-aed0-02665b6a9559	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-hab-agg-ms_2007-2012	None	None
ac815f97-786a-429e-8da9-f708be14a6d7	None	Land Accounts (LEAC) PHARE Data	None	None	None	None	None	Land Cover Accounts are part of the Land and Ecosystem Accounting project which deal with data on changes in land cover and land use and seek to trace the wider environmental, social and economic implications of these transformations.	https://www.eea.europa.eu/data-and-maps/data/land-accounts-leac-phare-data	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ac815f97-786a-429e-8da9-f708be14a6d7.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	100m	None	n/a	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ac815f97-786a-429e-8da9-f708be14a6d7	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_phare_1975-1990	None	None
ca27341a-b100-4466-92b6-ba13912c6f36f	None	EEA reference grid for Madeira (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ca27341a-b100-4466-92b6-ba13912c6f36f.png	EPSG:3035	2019-07-01	None	Geographical grid systems	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ca27341a-b100-4466-92b6-ba13912c6f36f	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-pt-30_2013	None	None
abf380b4-818d-42c6-8de5-5230978124e5	None	LandScan Global Population Database 2008 adjusted to the LEAC grid	None	None	None	None	None	This dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30" resolution) clipped to Europe and processed in order to match a LEAC grid (projection EPSG 3035 with a spatial resolution of 1km²). Content: population count per grid cell.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/abf380b4-818d-42c6-8de5-5230978124e5.png	EPSG:3035	2019-06-04	None	Population distribution — demography	None	grid	GTiff	None	1000m	None	The methodology used to project the LandScan data (http://www.ornl.gov/sci/landscan/) onto the LEAC grid is described in the document lineage_landscan_to_leac_grid_part1.pdf. At that stage, these data are stored into a MsAccess database. The conversion from a MsAccess database to a GeoTiff raster file is described in the document lineage_landscan_to_leac_grid_part2.pdf.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/abf380b4-818d-42c6-8de5-5230978124e5	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_landscan-leac_2008	None	None
902043ca-1683-4eea-91b9-1efab31d1f5e	None	High Nature Value Farmland eu 1 km	None	None	None	None	None	The grid contains the result of the CLC2000 reselection plus national datasets up-scaled to 1 km.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/902043ca-1683-4eea-91b9-1efab31d1f5e.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	1000m	None	Check .pdf document	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/902043ca-1683-4eea-91b9-1efab31d1f5e	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_hnv-eu-1km_2005-2007	None	None
0d3fae51-1873-4f46-acb5-5cd2e2ad2544f	None	EEA reference grid for Kosovo (UNSCR 1244/99) (100km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/0d3fae51-1873-4f46-acb5-5cd2e2ad2544f.png	EPSG:3035	2019-06-04	None	Geographical grid systems	None	vector	SHP	None	100000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/0d3fae51-1873-4f46-acb5-5cd2e2ad2544f	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_km_eea-ref-grid-xk_2013	None	None
34149223-a7f8-49bd-8037-91a67bb66c74	None	High Natural Value Total Maximum	None	None	None	None	None	the grid contains the combination of the others HNV layers (eu_1km, iba, pba, n2k) all upscaled to 1 km, created with the rule that the maximum value of the four is retained in the result (resolution 1 km)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/34149223-a7f8-49bd-8037-91a67bb66c74.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	1000m	None	Check .pdf document	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/34149223-a7f8-49bd-8037-91a67bb66c74	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1000_m_hnv-tot-max_2005-2007	None	None
1ae48a16-89b7-4568-aae8-2308f254e2cf	None	Coastal zones derived from Corine Land Cover classes 52x (raster 100m), Jun. 2012	None	None	None	None	None	Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1ae48a16-89b7-4568-aae8-2308f254e2cf.png	EPSG:3035	2019-06-04	None	Elevation	None	grid	GTiff	None	100m	None	0. Get access to the CLC v.16 100 m raster datasets: Corine Land Cover 2000 raster data - version 16 Corine Land Cover 2006 raster data - version 16 Corine Land Cover 1990 raster data - version 16 Corine Land Cover 2000 - 2006 harmonised changes - version 16 Corine Land Cover 1990 - 2000 harmonised changes - version 16 1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf In GRASS: r.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)" r.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)" 2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script Before generating buffer_52x_1_to_10km, input layers: clc06, FK00 and FK90 have to be reclassified as follows: 521 = 523 # 521 (coastal lagoons) is now treated as part of the SEA 522 = 523 # 522 (Estuaries) is now treated as part of the SEA * = * # Anything else remains as it was	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1ae48a16-89b7-4568-aae8-2308f254e2cf	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-buffer-52x-1-10km_2012	None	None
4c1baca3-6494-4463-9958-dc4d8d15bbab	None	Coastal zones derived from Corine Land Cover class 523 (raster 100m), Jun. 2012	None	None	None	None	None	Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with a class value of 523 (sea and ocean) in Corine Land Cover (details in lineage).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4c1baca3-6494-4463-9958-dc4d8d15bbab.png	EPSG:3035	2019-06-04	None	Elevation	None	grid	GTiff	None	100m	None	0. Get access to the CLC v.16 100 m raster datasets: Corine Land Cover 2000 raster data - version 16 Corine Land Cover 2006 raster data - version 16 Corine Land Cover 1990 raster data - version 16 Corine Land Cover 2000 - 2006 harmonised changes - version 16 Corine Land Cover 1990 - 2000 harmonised changes - version 16 1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf In GRASS: r.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)" r.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)" 2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script Layer buffer_523_1_to_10km can be generated directly from the input layers clc06, FK00 and FK90.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4c1baca3-6494-4463-9958-dc4d8d15bbab	2006	2006	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-buffer-523-1-10km_2012	None	None
eac75b71-3c41-4133-8ec0-2a983e5f8f1c	None	High Nature Value Farmland - Primary Butterfly Areas	None	None	None	None	None	the grid contains the reselection of CLC2000 classes in selected Primary Butterfly Areas (resolution 100 m)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/eac75b71-3c41-4133-8ec0-2a983e5f8f1c.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	100m	None	Check .pdf document	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/eac75b71-3c41-4133-8ec0-2a983e5f8f1c	2005	2007	TRUE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_hnv-pba_2005-2007	None	None
9302aca8-d3c7-43b2-b64f-f42bec35e7a4	None	European and Mediterranean Basin extract of LandScan Global Population Database 2008	None	None	None	None	None	This dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30" resolution) clipped to Europe together with the Mediterranean Basin, converted into a population density dataset and reprojected to EPSG:3035 (Lambert Azimuthal Equal Area 52N10E / ETRS89) with a spatial resolution of 1km². The methodology applied aimed at minimizing any discrepancy in population counts between the original data and the reprojected data at country level. Content: population count per grid cell. No data value: -99	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9302aca8-d3c7-43b2-b64f-f42bec35e7a4.png	EPSG:3035	2019-06-04	None	Population distribution — demography	None	grid	GTiff	None	1000m	None	The methodology used consisted in: a) clipping an area of interest from the original LandScan data (http://www.ornl.gov/sci/landscan/) in WGS84 lat/lon b) calculating the corresponding population density in inhabitants per km² (still in WGS84 lat/lon) c) projecting b) to ETRS89 - Lambert Azimuthal Equal Area 52N10E (epsg:3035) with a resolution of 1km This methodology is described in the document landscan_paul.pdf. In this document, some references are made to a similar product created by Hermann Peifer registered in the catalogue with the metadata ID 1d68d314-d07c-4205-8852-f74b364cd699	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9302aca8-d3c7-43b2-b64f-f42bec35e7a4	2008	2008	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_landscan-eurmed2_2008	None	None
1d68d314-d07c-4205-8852-f74b364cd699	None	Extract of LandScan Global Population Database 2008 over Europe and the Mediterranean Basin	None	None	None	None	None	This dataset consists of the LandScan global population database of 2008 (grid in WGS84 with a 30" resolution) clipped to Europe together with the Mediterranean Basin and reprojected to EPSG:3035 (Lambert Azimuthal Equal Area 52N10E / ETRS89) with a spatial resolution of 1km². The methodology applied aimed at minimizing any discrepancy in population counts between the original data and the reprojected data at country level. Content: (population count * 10000) per grid cell. No data value: -99	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1d68d314-d07c-4205-8852-f74b364cd699.png	EPSG:3035	2019-06-04	None	Population distribution — demography	None	grid	GTiff	None	1000m	None	The methodology used to project a portion of the LandScan data (http://www.ornl.gov/sci/landscan/) from WGS84 lat/lon to ETRS89 - Lambert Azimuthal Equal Area 52N10E (epsg:3035) is described in the document landscan_hermann.pdf. In this document, some references are made to a similar product delivered by ETC-LUSI registered in the catalogue with the metadata ID abf380b4-818d-42c6-8de5-5230978124e5	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1d68d314-d07c-4205-8852-f74b364cd699	2008	2008	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_landscan-eurmed_2008	None	None
fee1dd1a-b65b-4d01-9f54-00c080f9e151	None	Coastal zones derived from Corine Land Cover class 523 (raster 100m), Dec. 2011	None	None	None	None	None	Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with a class value of 523 (sea and ocean) in Corine Land Cover (details in lineage).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/fee1dd1a-b65b-4d01-9f54-00c080f9e151.png	EPSG:3035	2019-06-04	None	Elevation	None	grid	GTiff	None	100m	None	0. Download the CLC v.15 100 m raster datasets, as published in EEA data service: Corine Land Cover 2000 raster data - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 2006 raster data - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 1990 raster data - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 2000 - 2006 changes - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 1990 - 2000 changes - version 15 (08/2011), Aug 24, 2011 http://www.eea.europa.eu/data-and-maps/data#c12=corine+version+15+raster+data 1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf In GRASS: r.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)" r.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)" 2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script Layer buffer_523_1_to_10km can be generated directly from the input layers clc06, FK00 and FK90.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/fee1dd1a-b65b-4d01-9f54-00c080f9e151	2006	2006	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-buffer-523-1-10km_2011	None	None
f68623ca-c1ff-44b6-a582-14872f43fc93	None	Coastal zones derived from Corine Land Cover classes 52x (raster 100m), Dec. 2011	None	None	None	None	None	Coastal zones are presented as a series of 10 consecutive buffers of 1km width each (towards inland). For this dataset, were treated as sea data all areas with class values of 52x (521: coastal lagoons, 522: estuaries, 523: sea and ocean) in Corine Land Cover (details in lineage).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/f68623ca-c1ff-44b6-a582-14872f43fc93.png	EPSG:3035	2019-06-04	None	Elevation	None	grid	GTiff	None	100m	None	0. Download the CLC v.15 100 m raster datasets, as published in EEA data service: Corine Land Cover 2000 raster data - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 2006 raster data - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 1990 raster data - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 2000 - 2006 changes - version 15 (08/2011), Aug 24, 2011 Corine Land Cover 1990 - 2000 changes - version 15 (08/2011), Aug 24, 2011 http://www.eea.europa.eu/data-and-maps/data#c12=corine+version+15+raster+data 1. Generate layers FK90 and FK00 as described in LEAC_methodology_report_2011.pdf In GRASS: r.mapcalc FK00 = "(cha06_00 != 990 ? cha06_00 : clc06 != 990 ? clc06 : clc00)" r.mapcalc FK90 = "(clc90 == 990 ? 990 : cha00_90 != 990 ? cha00_90 : FK00)" 2. Generate the coastal zones in GRASS as buffers of the SEA areas, according to the attached buffer.sh script Before generating buffer_52x_1_to_10km, input layers: clc06, FK00 and FK90 have to be reclassified as follows: 521 = 523 # 521 (coastal lagoons) is now treated as part of the SEA 522 = 523 # 522 (Estuaries) is now treated as part of the SEA * = * # Anything else remains as it was	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/f68623ca-c1ff-44b6-a582-14872f43fc93	2006	2006	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc-buffer-52x-1-10km_2011	None	None
51d44d2d-835a-4a03-963c-86bd2f856006	None	SRTM90 - The Shuttle Radar Topography Mission DEM100	None	None	None	None	None	The current dataset is a combination of SRTM 90 and DTED data. The Shuttle Radar Topography Mission (SRTM) obtained elevation data on a near-global scale to generate the most complete high-resolution digital topographic database of Earth. SRTM consisted of a specially modified radar system that flew onboard the Space Shuttle Endeavour during an 11-day mission in February of 2000. SRTM is an international project spearheaded by the National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA). Version 2 of the Shuttle Radar Topography Mission digital topographic data (also known as the "finished" version). was used for generation of this dataset. Version 2 is the result of a substantial editing effort by the National Geospatial Intelligence Agency and exhibits well-defined water bodies and coastlines and the absence of spikes and wells (single pixel errors), although some areas of missing data ('voids') are still present. The Version 2 directory also contains the vector coastline mask derived by NGA during the editing, called the SRTM Water Body Data (SWBD), in ESRI Shapefile format. DTED (or Digital Terrain Elevation Data) was originally developed in the 1970s to support aircraft radar simulation and prediction. DTED supports many applications, including line-of-sight analyses, terrain profiling, 3-D terrain visualization, mission planning/rehearsal, and modeling and simulation. DTED is a standard NGA product that provides medium resolution, quantitative data in a digital format for military system applications that require terrain elevation. The DTED format for level 0, 1 and 2 is described in U.S. Military Specification Digital Terrain Elevation Data (DTED) MIL-PRF-89020B, and amongst others describe the resolution: Level 0 used for geneation of this dataset has a post spacing of 30 arcseconds in latitude direction (ca. 900 meters)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/51d44d2d-835a-4a03-963c-86bd2f856006.png	EPSG:3035	2019-06-04	None	Elevation	None	grid	AIG	None	100m	None	1. The SRTM dataset was corrected tile by tile by filling voids using http://3dnature.com/srtmfill.html application 2. A mosaic was produced using the filled tiles. 3. The sea leyer was modified to -1000 value, to generate a "fake" sea and sepparate the sea level from the areas bellow sea level. 5. A "extraction line" was manually created, folowing rivers valleys in the North area of Europe. 6. The existing DTD data was resampled to 90 m resolution and croped using with the line at point 3 7. The SRTM mosaic was cropped using the line at point 3 8. The SRTM mosaic was convert into tiles with overlapping edges. 9. The tiles at point 6 were reprojected to LAEA5210 10. A mosaic was generated using the tiles at point 7 11. The mosaics resulted at point8 and point 4 were merged into one mosaic 12. The mosaic at point 11 was cropped using the standard EEA frame f4c_n. CHANGES:The dataset was built from the SRTM90_ELEVATION_F1v0, product of EEA The dataset was resampled to 100 meters.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/51d44d2d-835a-4a03-963c-86bd2f856006	2000	2000	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_srtm90-dem_2000	None	None
1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df	None	EEA reference grid for Cyprus (1km), May 2013	None	None	None	None	None	The grid is based on proposal at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. The sample grid available here is part of a set of three polygon grids in 1, 10 and 100 kilometres. The grids cover at least country borders and, where applicable, marine Exclusive Economic Zones v7.0, http://www.marineregions.org. Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df.png	EPSG:3035	2019-06-04	None	Geographical grid systems	None	vector	SHP	None	1000m	None	The reference grids are based on ETRS89 Lambert Azimuthal Equal Area projection with parameters: latitude of origin 52°N, longitude of origin 10°E, false northing 3210000.0m, false easting 4321000.0m. Origin of the grid is calculated from 0mN 0mE of projection. The method followed the instructions for the EEA fishnet tool described in the EEA GIS guideline available from http://www.eionet.europa.eu/gis. All grids have been created using one of the two scripts available in the scripts subfolder located in the data directory. Their usage is documented in the readme.txt file available in the same subfolder.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/1e72c34c-32cc-4e8f-a668-8fe5ac40ec6df	2013	2013	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_1_km_eea-ref-grid-cy_2013	None	None
396a3e2c-3542-4cdd-a6cf-63da91b2e6ff	None	High Nature Value Farmland - Natura 2000	None	None	None	None	None	the grid contains the reselection of CLC2000 classes in selected NATURA2000 sites (resolution 100 m)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/396a3e2c-3542-4cdd-a6cf-63da91b2e6ff.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	100m	None	Check .pdf document	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/396a3e2c-3542-4cdd-a6cf-63da91b2e6ff	2005	2007	TRUE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_hnv-n2k_2005-2007	None	None
871dce9f-5082-4d4a-b130-b58e20769449	None	High Nature Value Farmland - Important Bird Areas	None	None	None	None	None	The grid contains the reselection of CLC2000 classes in selected Important Bird Areas (resolution 100 m)	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/871dce9f-5082-4d4a-b130-b58e20769449.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	100m	None	Check .pdf document	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/871dce9f-5082-4d4a-b130-b58e20769449	2005	2007	TRUE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_hnv-iba_2005-2007	None	None
15f4833f-02f5-4246-aab7-222a82eb3637	None	Conservation status of species 2007-2012 for public access, Sep. 2014	None	None	None	None	None	Gridded Distribution of Species as reported during the Article 17 of the Habitats Directive (92/43/EEC) covering the period 2007 to 2012. The data covers the EU 27. All Member States are requested by the Habitats Directive (92/43/EEC) to monitor habitat types and species considered to be of Community interest. Article 17 of the Habitats Directive 92/43/EEC requires that every 6 years Member States prepare reports to be sent to the European Commission on the implementation of the Directive. The Article 17 report for the period 2007-2012 includes assessments on the conservation status of the habitat types and species of Community interest. This version does not include species flagged as sensitive by Member States. Information on the data quality of the 2007-2012 reporting round is available at http://bd.eionet.europa.eu/article17. The data are available in the table ART17_SD_without_sensitive of the database.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/15f4833f-02f5-4246-aab7-222a82eb3637.png	EPSG:3035	2019-06-04	None	Habitats and biotopes|Species distribution	None	vector	FGeo	None	1:10000000	None	The Member State supplied the data in a 10km grid. The data set covers the EU 27 (Terrestrial and Marine) and corresponds to the period 2007 to 2012. The data was supplied under the Article 17 (Habitats Directive 92/43/EEC) reporting process.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/15f4833f-02f5-4246-aab7-222a82eb3637	2007	2012	TRUE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: Directorate-General for Environment (DG ENV), European Environment Agency (EEA).	FALSE	European Commission	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_cons-status-species-public_2007-2012	None	None
84036394-19fc-466f-bc4b-b0748d5d29f4	None	Hillshade Europe DEM	None	None	None	None	None	This is a cropped DTM version (with Frame2c) for providing topographic backgrouds on EEA maps. This is a hillshade of global digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer).	https://www.eea.europa.eu/data-and-maps/data/digital-elevation-model-of-europe	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/84036394-19fc-466f-bc4b-b0748d5d29f4.png	None	2019-06-04	None	Elevation	None	grid	GTiff	None	100m	None	The data set was compiled by EEA and is derived from the GTOPO30 dataset (http://edcdaac.usgs.gov/gtopo30/gtopo30.html). The DTM was converted to raster (georefernced tiff) using Arcview and Grid Pig extension. The Caspian Sea border, the Africa depression and some areas from the Netherlands, all under sea level were corrected. The DTM was hillshaded using ArcMap and Spatial Analyst using following parametres: Azimuth: 315, Altitude: 45, Model shadows: Yes, Z factor: 10, Cell size: 1000 m.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84036394-19fc-466f-bc4b-b0748d5d29f4	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_777100_100_m_hillshade_1996	None	None
d047cdb1-a62b-4299-8469-9038519430c0	None	Corine Land Cover 2000 Coastline	None	None	None	None	None	Complete Coastline Features for all the countries that produced Corine Land Cover 2000 and have a coastline, with detailed descriptions on the environment and type of coastal areas. Each coast segment has inherited CLC 2000 class, and also the attributes from Eurosion Coastline version 2.1 2004, regarding geomorphology, type of coast and erosion trends.	https://www.eea.europa.eu/data-and-maps/data/corine-land-cover-2000-coastline	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d047cdb1-a62b-4299-8469-9038519430c0.png	None	2019-06-04	None	Elevation	None	vector	SHP	None	1:100000	None	The shape of this european coastline is based on the Corine Land Cover 2000 features. The intersection between Corine Land Cover 'sea and ocean' class and any other class was selected as the 'initial coastline'. Then the classes 'estuaries' and 'intertidal flats' were added to the marine environment if they were connected to the sea, having a direct connection to the sea, or through other 'estuaries' or 'intertidal flats'. This is the shape of the coastline, that has inherited the Corine Land Cover class attribute as well. The attributes from Eurosion coastline were added. Through a simple allocation process from the Eurosion coastline segments, and a identity procedure afterwards, the coastline was splitted in more segments, each of those inheriting the correspondent eurosion segment code.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d047cdb1-a62b-4299-8469-9038519430c0	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_k_clc-coastline_2000	None	None
24cdf846-e0d3-4884-84c7-9930d5b29c38	None	Lacoast - Land cover change in coastal areas 1975-1990	None	None	None	None	None	LaCoast is a research project undertaken in the mid 1990 under the lead of the Joint Research Centre (JRC) and aimed at quantifying the changes of land cover types in a 10 km land strip from the coastline. LaCoast uses CORINE Land Cover version 1990 as its reference dataset and track differences of land cover changes using LANDSAT satellite images from the mid-1970's.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/24cdf846-e0d3-4884-84c7-9930d5b29c38.png	None	2019-06-04	None	Land cover	None	grid	AIG	None	100m	None	n/a	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/24cdf846-e0d3-4884-84c7-9930d5b29c38	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_777101_100_m_lacoast_1975-1990	None	None
84e3a274-beff-40c1-bb40-c97afb8473d6	None	NUTS 2006 plus Balkan Countries	None	None	None	None	None	The 'GISCO NUTS 2006' dataset represents the NUTS regions by means of region, arc and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualise multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The Regulation (EC) No 1059/2003 of the European Parliament and of the Council on the establishment of a common classification of territorial units for statistics (NUTS) was enforced the 11 July 2003. This regulation provided the NUTS classification with a legal background. Since then, 12 new countries joined the European Union. The NUTS regulation was officially enforced in these 12 countries the day of their accession to the EU. A non official NUTS-like classification has been defined for the EFTA countries, Croatia and Turkey. For further information about the NUTS classification please check the RAMON Eurostat site at http://ec.europa.eu/comm/eurostat/ramon/nuts/home_regions_en.html At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions while the points provide a label for each region. Associated tables contain basic information such as the region's name. This feature class represents the polygon geometry of the 1:100.000 scale level of the NUTS regions. This shapefile was modified by the ETC-LUSI with the purpose of including this dataset into the LEAC System.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/84e3a274-beff-40c1-bb40-c97afb8473d6.png	None	2019-06-04	None	Statistical units	None	vector	SHP	None	1:100000	None	Input Data from GISCO, NUTS 2006 version 010210, in particular the polygon version NUTS_RG_100K_2006 together with NUTS_AT_2006 where all the definitions are stored. The dataset was modified in order to include this information into the LEAC System. Country boundaries for the Balkan countries were extracted from the previous version of LEAC NUTS 2003 (nuts_balkan_countries) and included in this new version. Furthermore other changes were made in order to complete the dataset coverage with islands, lakes, etc. The final dbf table includes all the relationships among different NUTS levels as well as a combination of NUTS 0 2 and 3 called NUTS X. process steps: -Data was disaggregated by the field: "STAT_LEVL_CODE" into Country, NUTS 1, NUTS 2, NUTS 3. -Intersection of the four different layers: NUTS 0, 1, 2 and 3, in order to have all the definitions and relationships in one table. -Generation of NUTS Definition Tables for NUTS according to the previous definition tables for 2003 used in LEAC cubes. Some inconsistencies were found in the original file so they were fixed using the geometries from NUTS 2003 (nuts_balkan_countries). -Some isles were included: Man Island, Faroe Islands, -Some countries were missing or they were part of another countries such as: Monaco (It was included in France territory), San Marino (no data), Vatican City (no data), Andorra (no data), all these errors were corrected. - Boundaries for Balkan countries: Bosnia & Herzegovina, Serbia, Albania, Montenegro, Macedonia, Kosovo, were extracted from "nuts_balkan_countries.shp". - Lakes were extracted from NUTS_BN_100K_2006 Polyline. To complete the dataset missing lakes were extracted from "nuts_balkan_countries.shp" and included in the final version.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/84e3a274-beff-40c1-bb40-c97afb8473d6	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_4258_100_k_nutsx_2006	None	None
5f9a77a6-8f6f-4551-a158-82e138336a6f	None	Global Administrative Unit Layers (GAUL), first level (level 1) for reference year 2008 - version 2009, Dec. 2008	None	None	None	None	None	The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels. The GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data. About 21 countries have been updated respect to the previous release (see countries_updated.dbf). The GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" (see Gaul_Set.pdf). The original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/5f9a77a6-8f6f-4551-a158-82e138336a6f.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	Postgis	None	1:1000000	None	The overall methodology consists in a) collecting the best available data from most reliable sources, b) establishing validation periods of the geographic features (when possible), c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS), d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf) Because the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf). The coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5f9a77a6-8f6f-4551-a158-82e138336a6f	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	fao_v_4326_1_mio_gaul1_2008_rev2009	None	None
074b8e76-5e49-467c-aa30-ed013afd41a9	None	Global Administrative Unit Layers (GAUL), national level (level 0) for reference year 2008 - version 2009, Dec. 2008	None	None	None	None	None	The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels. The GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data. About 21 countries have been updated respect to the previous release (see countries_updated.dbf). The GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" (see Gaul_Set.pdf). The original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/074b8e76-5e49-467c-aa30-ed013afd41a9.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	Postgis	None	1:1000000	None	The overall methodology consists in a) collecting the best available data from most reliable sources, b) establishing validation periods of the geographic features (when possible), c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS), d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf) Because the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf). The coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/074b8e76-5e49-467c-aa30-ed013afd41a9	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	fao_v_4326_1_mio_gaul0_2008_rev2009	None	None
68d5de61-3af4-4520-a877-49580c98c583	None	Global Administrative Unit Layers (GAUL), second level (level 2) for reference year 2008 - version 2009, Dec. 2008	None	None	None	None	None	The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the EC-FAO Food Security Programme funded by the European Commission (http://www.foodsecinfoaction.org/News/news_06_06.htm). The GAUL aims at compiling and disseminating the most reliable spatial information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified coding system at country, first (e.g. regions) and second administrative levels (e.g. districts). In addition, when data is available, it provides layers on a country by country basis down to third, fourth and lowers levels. The GAUL is released once a year and the target beneficiary of the GAUL data is the UN community, the Universities and other authorized international and national institutions/agencies. Data might not be officially validated by authoritative national sources and can not be distributed to the general public. A disclaimer should always accompany any use of the GAUL data. About 21 countries have been updated respect to the previous release (see countries_updated.dbf). The GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in the GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" (see Gaul_Set.pdf). The original dataset containing Level 0 administrative units has been combined by EEA with some attributes data provided within GAUL in a separate file. No data from outside GAUL have been used and it is possible to reconstruct the original dataset by removing the extra attributes added.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/68d5de61-3af4-4520-a877-49580c98c583.png	EPSG:4326	2019-06-04	None	Administrative units	None	vector	Postgis	None	1:1000000	None	The overall methodology consists in a) collecting the best available data from most reliable sources, b) establishing validation periods of the geographic features (when possible), c) adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS), d) generating codes using the GAUL Coding System and e) distribute data to the users (see GAUL Doc01 Ver17.pdf) Because the GAUL works at global level, controversial boundaries can not be ignored. The approach of the GAUL is to maintain disputed areas in such a way to preserve national integrity for all disputing countries (see GAUL Doc01 Ver17.pdf and disputed_areas.dbf). The coastal line of the GAUL is mostly compliant with the coast of the International Boundary map delivered by UNCS except for some countries (e.g. Viet Nam, India, Bangaldesh, etc.) where it has been updated according to the satellite images (e.g. Landsat ETM). For the next releases of the GAUL, the updating process of the coast-line will go on, country by country, through a comparison with the satellite images.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/68d5de61-3af4-4520-a877-49580c98c583	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	fao_v_4326_1_mio_gaul2_2008_rev2009	None	None
cdb7af74-b12d-49f5-b716-bd64c7a0f864	None	Nitrate Vulnerable Zones	None	None	None	None	None	Data on designated nitrate vulnerable zones as submitted by Member States for monitoring progress of implementation of the Nitrate Directive (Council Directive 91/676/EEC of 12 December 1991 concerning the protection of waters against pollution caused by nitrates from agricultural sources). This Directive has the objective of reducing water pollution caused or induced by nitrates from agricultural sources and preventing further such pollution. Waters affected by pollution and waters which could be affected by pollution if action pursuant Article 5 is not taken shall be identified by the Member States in accordance with the criteria set out in Annex I.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/cdb7af74-b12d-49f5-b716-bd64c7a0f864.png	None	2019-06-04	None	Soil	None	vector	SHP	None	1:100000	None	Data quality depends from data provided by Member States	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/cdb7af74-b12d-49f5-b716-bd64c7a0f864	None	None	FALSE	None	License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	jrc_v_4258_100_k_nvz_2006	None	None
b98e32ad-f316-4a80-a176-30cba8bab017	None	EUNIS woodland, forest and other wooded land habitats, Braun-Blanquet project plot data (vector) - series	None	None	None	None	None	This series references all EUNIS woodland, forest and other wooded land habitat types samples from vegetation plot data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b98e32ad-f316-4a80-a176-30cba8bab017.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|wood	vector	SHP	None	1:10000000	None	The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b98e32ad-f316-4a80-a176-30cba8bab017	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b_1940-2011_series	None	None
d53acab8-6e1e-4703-b519-030212284f1c	None	EUNIS heathland, scrub and tundra habitats, predicted potential distribution of habitat suitability (raster) - series	None	None	None	None	None	This series references the predicted potential distribution of EUNIS heathland, scrub and tundra habitat suitability.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d53acab8-6e1e-4703-b519-030212284f1c.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	grid	GTiff	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d53acab8-6e1e-4703-b519-030212284f1c	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-f_1940-2011_series	None	None
af43952c-393b-426f-8660-01fccdf758eb	None	EUNIS woodland, forest and other wooded land habitats, predicted potential distribution of habitat suitability (raster) - series	None	None	None	None	None	This series references the predicted potential distribution of EUNIS woodland, forest and other wooded land habitat suitability.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/af43952c-393b-426f-8660-01fccdf758eb.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	forest|natural area|wood	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/af43952c-393b-426f-8660-01fccdf758eb	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b_1940-2011_series	None	None
5bd6041e-ccad-42aa-b042-0596fbbae97d	None	EUNIS grasslands and lands dominated by forbs, mosses or lichens habitats, predicted potential distribution of habitat suitability (raster) - series	None	None	None	None	None	This series references the predicted potential distribution of EUNIS grasslands and lands dominated by forbs, mosses or lichens habitat suitability.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/936e55b2-7624-4b67-b1e6-6e40366b3a10.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal environment|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/5bd6041e-ccad-42aa-b042-0596fbbae97d	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b_1940-2011_series	None	None
c7cb5abf-0a64-4dff-89f9-da1002e1fd6a	None	EUNIS coastal habitats, Braun-Blanquet project plot data (vector) - series	None	None	None	None	None	This series references all EUNIS coastal habitat types samples from vegetation plot data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal environment|natural area|terrestrial ecosystem	vector	SHP	None	1:10000000	None	The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/c7cb5abf-0a64-4dff-89f9-da1002e1fd6a	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-b_1940-2011_series	None	None
936e55b2-7624-4b67-b1e6-6e40366b3a10	None	EUNIS coastal habitats, predicted potential distribution of habitat suitability (raster) - series	None	None	None	None	None	This series references the predicted potential distribution of EUNIS coastal habitat suitability.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/936e55b2-7624-4b67-b1e6-6e40366b3a10.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	coastal environment|natural area|terrestrial ecosystem	grid	AAIGrid	None	1000m	None	The data represent the habitat suitability of the EUNIS type. For the modelling, the widely used software Maxent for maximum entropy modelling of species’ geographic distributions was used (http://www.cs.princeton.edu/~schapire/maxent). Maxent is a general-purpose machine-learning method with a simple and precise mathematical formulation, and has a number of aspects that make it well-suited for species distribution modelling when only presence (occurrence) data but not absence data are available (Philips et al. 2006). Because EUNIS habitats have a particular species composition, they are assumed to respond to specific ecological requirements, allowing us to generate correlative estimates of geographic distributions. Modelling habitats that have been floristically defined is a well-known procedure for ecological modelling at local scales, and a promising technique to be applied also at the continental level. The Maxent method considers presence data (known observations of a given entity) and the so-called background data. Presence data is coming from the Braun-Blanquet project database. Background data comprise a set of points used to describe the environmental variation of the study area according to the available environmental layers. It is assumed that these layers represent well the most important ecological gradients on a European scale. As layers the following environmental parameters have been used: Potential Evapotranspiration, Topsoil pH, Solar radiation, Temperature Seasonality (standard deviation *100), Mean Temperature of Wettest Quarter, Annual Precipitation, Precipitation Seasonality (Coefficient of Variation), Precipitation of Warmest Quarter & Distance to water (rivers, lakes, sea).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/936e55b2-7624-4b67-b1e6-6e40366b3a10	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_1_km_eunis-hab-b_1940-2011_series	None	None
b0767dbe-43cf-4294-8d89-f99f18d872ae	None	EUNIS heathland, scrub and tundra habitats, Braun-Blanquet project plot data (vector) - series	None	None	None	None	None	This series references all heathland, scrub and tundra habitat types samples from vegetation plot data.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/b0767dbe-43cf-4294-8d89-f99f18d872ae.png	EPSG:3035	2019-06-04	None	Habitats and biotopes	heathland|natural area|terrestrial ecosystem|tundra	vector	SHP	None	1:10000000	None	The data records come from the database compiled for the Braun-Blanquet project. It comprises various national and regional vegetation databases. The maintenance of these databases is in principle in the hands of the custodians. However, before uploading datasets into the Braun-Blanquet database a quality check is performed by Alterra and Masaryk University.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/b0767dbe-43cf-4294-8d89-f99f18d872ae	1940	2011	TRUE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_10_mio_eunis-hab-f_1940-2011_series	None	None
d9aaec80-0d51-42de-97ba-11ab219c2ba4	None	Corine Land Cover 2000 (raster 250m) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2000, raster 250m starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/d9aaec80-0d51-42de-97ba-11ab219c2ba4.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/d9aaec80-0d51-42de-97ba-11ab219c2ba4	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2000_series	None	None
9c50e16b-a1e3-464f-8394-ecb3a709601d	None	Corine Land Cover 2006 (raster 250m) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2006, raster 250m starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c50e16b-a1e3-464f-8394-ecb3a709601d.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9c50e16b-a1e3-464f-8394-ecb3a709601d	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_2006_series	None	None
4aa6ef54-ab38-4f4c-a946-2915ebe99e31	None	Corine Land Cover 2000 (raster 100m) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2000, raster 100m starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e6960701-c379-462e-83df-12b8353d37ac.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	AIG	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4aa6ef54-ab38-4f4c-a946-2915ebe99e31	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_2000_series	None	None
a980e731-fc2a-4a66-992f-d634b733c9a9	None	Corine Land Cover 1990 (raster 100m) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 1990, raster 100m starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/a980e731-fc2a-4a66-992f-d634b733c9a9.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	100m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a980e731-fc2a-4a66-992f-d634b733c9a9	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_100_m_clc_1990_series	None	None
80d1a936-7e74-4007-a058-e0493e8be9f8	None	Corine Land Cover 1990 - 2000 changes (vector) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 1990 - 2000 changes vector starting with version 13. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/80d1a936-7e74-4007-a058-e0493e8be9f8.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	SHP	None	1:100000	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/80d1a936-7e74-4007-a058-e0493e8be9f8	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_1990-2000_series	None	None
7eecfa08-129e-41d1-8e4b-58a562d4f78c	None	Corine Land Cover 2006 seamless (vector) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2006 seamless vector starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9c50e16b-a1e3-464f-8394-ecb3a709601d.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	FGeo	None	1:100000	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/7eecfa08-129e-41d1-8e4b-58a562d4f78c	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2006_series	None	None
344865b4-006e-47a4-a642-ea53ea130842	None	Corine Land Cover 1990 (raster 250m) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 1990, raster 250m starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/344865b4-006e-47a4-a642-ea53ea130842.png	EPSG:3035	2019-06-04	None	Land cover	None	grid	GTiff	None	250m	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/344865b4-006e-47a4-a642-ea53ea130842	1990	1990	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_r_3035_250_m_clc_1990_series	None	None
4bdac4bb-1a12-41f1-9bdd-efe44057184b	None	Corine Land Cover 2000 - 2006 changes (vector) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2000 - 2006 changes vector starting with version 13. CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable. The layer of CORINE Land Cover Changes (CLCC) is produced since the second CLC inventory (CLC2000). CLCC is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CLCC layer than in CLC status layer. Integration of national CLC and CLCC data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CLCC data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CLCC time series data (CLC1990, CLC2000, CLC2006, CLC2012 and related CLCC data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users. CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/4bdac4bb-1a12-41f1-9bdd-efe44057184b.png	EPSG:3035	2019-06-28	None	Land cover	None	vector	SHP	None	1:100000	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/4bdac4bb-1a12-41f1-9bdd-efe44057184b	2000	2006	TRUE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc-changes_2000-2006_series	None	None
9eff47ae-a31b-479e-9069-d1ac3d52e293	None	Corine Land Cover 1990 seamless (vector) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 1990 seamless vector starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/9eff47ae-a31b-479e-9069-d1ac3d52e293.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	FGeo	None	1:100000	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/9eff47ae-a31b-479e-9069-d1ac3d52e293	1990	1990	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_1990_series	None	None
109c92a4-e9a0-4d87-895c-02df9f241b59	None	Corine Land Cover 2000 seamless (vector) - series	None	None	None	None	None	This series references all versions of Corine Land Cover 2000 seamless vector starting with version 13. With the help of CLC data it is possible to provide support for protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive. CLC data is an important data set for the implementation of key priority areas of the Sixth Environment Action Programme of the European Community. CLC data can show, for instance, where fragmentation of the landscape by roads and other infrastructure is worsening and thus increasing the risk that ecosystems can no longer connect with each other, putting the survival of their flora and fauna in danger. In the agricultural field CLC data can highlight where major structural changes are continuing or intensifying, such as the conversion of pasture to arable land, expansion or reduction in the area of fallow land and land taken out of production ('set aside'), or the abandonment of farming altogether. CLC serve as input to the EC 'Inspire' (INfrastructure for SPatial InfoRmation in Europe - http://inspire.jrc.it) initiative. This initiative intends to trigger the creation of a European spatial information infrastructure that delivers to the users integrated spatial information services. CLC programme is also a contribution to the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, to provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/109c92a4-e9a0-4d87-895c-02df9f241b59.png	EPSG:3035	2019-06-04	None	Land cover	None	vector	FGeo	None	1:100000	None	Product is based on CLC databases provided by National Teams within CLC mapping related projects (I&CLC2000, CARDS, FTSP/CLC2006 update etc.. All features in original vector database were classified and digitised based on satellite images with 100 m positional accuracy (according to CLC specifications) and 25 ha minimum mapping unit (5ha MMU for changes) into the standardized CLC nomenclature (44 CLC classes). LCEUGRIDS represent the final product of European CLC data integration. The process of data integration started when national CLC deliveries have been accepted. Delivered national data were produced in local national systems of all participating countries. Each national Coordinate Reference System (CRS) definition had to be known precisely together with its geometric relationship to a standard system in order to accurately transfer all national data into a standard coordinate reference (LAEA5210/ETRS89) for European wide geographic data. Mostly, the process itself was carried out by global equation-based transformation to ETRS89 (e.g. seven-parameters Bursa-Wolf methods). The accuracy of a particular transformation ranges from centimetres to meters depending on the method and the quality and number of control points available to define the transformation parameters, but, in any case, the accuracy is far above the actual CLC2000 data resolution (for more details see DBTA reports for particular country). Due to large data volume, national data, when transformed into the common European reference, are rasterized. The resolution of the data is 100 x 100 and 250 x 250 metres (change grids 100 x 100 metres).	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/109c92a4-e9a0-4d87-895c-02df9f241b59	2000	2000	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_clc_2000_series	None	None
ceba8505-c9ee-4cdd-a939-b135c7691203	None	LandScan Global Population Database 2008	None	None	None	None	None	LandScan Global Population Database 2008. Population counts at 30 arc second resolution.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ceba8505-c9ee-4cdd-a939-b135c7691203.png	EPSG:4326	2019-06-04	None	Population distribution — demography	None	grid	AIG	None	0.008333333333deg	None	The methodology is documented at http://www.ornl.gov/sci/landscan/landscan_documentation.shtml	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ceba8505-c9ee-4cdd-a939-b135c7691203	None	None	FALSE	None	Single User License	FALSE	None	FALSE	None	None	None	None	None	None	None			None	None	ornl_r_4326_30_arcsec_landscan_2008	None	None
ee8dc6b4-017d-4dc5-b970-e071c1d140bd	None	Urban Morphological Zones Changes between 2000 and 2006 (vector) - series	None	None	None	None	None	This series references all versions of Urban Morphological Zones Changes between 2000 and 2006 (vector) starting with version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 2000 and 2006), while negative changes describe the reduction of a certain UMZ between 2000 and 2006 (warning: some negative changes might be due to different interpretations between 2000-2006).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/ee8dc6b4-017d-4dc5-b970-e071c1d140bd.png	EPSG:3035	2019-06-05	None	Land cover	None	vector	None	None	1:100000	None	Input data: - Urban Morphological Zones 2000 (vector) - Urban Morphological Zones 2006 (vector) The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/ee8dc6b4-017d-4dc5-b970-e071c1d140bd	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz-changes_2000-2006_rev13_series	None	None
24129a43-4bc6-403a-aab8-7f500e69f8be	None	Urban Morphological Zones 1990 (vector) - series	None	None	None	None	None	This series references all versions of Urban Morphological Zones 1990 (vector) starting with version 13. A UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 1990, by means of a methodology explained for each version of the dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/24129a43-4bc6-403a-aab8-7f500e69f8be.png	EPSG:3035	2019-06-05	None	Land cover	None	vector	None	None	1:100000	None	Input data: Corine Land Cover 1990 raster (100m) The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/24129a43-4bc6-403a-aab8-7f500e69f8be	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_1990_series	None	None
e3e96a46-7118-4bb2-9d01-76254a034a8a	None	Urban Morphological Zones Changes between 1990 and 2000 (vector) - series	None	None	None	None	None	This series references all versions of Urban Morphological Zones Changes between 1990 and 2000 (vector) starting with version 13. Most changes are Positive changes, understood as areas of urban sprawl (i.e. new UMZ areas between 1990 and 2000), while negative changes describe the reduction of a certain UMZ between 1990 and 2000 (warning: some negative changes might be due to different interpretations between 1990-2000).	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/e3e96a46-7118-4bb2-9d01-76254a034a8a.png	EPSG:3035	2019-06-05	None	Land cover	None	vector	None	None	1:100000	None	Input data: - Urban Morphological Zones 1990 (vector) - Urban Morphological Zones 2000 (vector) The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/e3e96a46-7118-4bb2-9d01-76254a034a8a	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz-changes_1990-2000_series	None	None
6e5d9b0d-a448-4c73-b008-bdd98a3cf214	None	Urban Morphological Zones 2006 (vector) - series	None	None	None	None	None	This series references all versions of Urban Morphological Zones 2006 (vector) starting with version 13. A UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2006, by means of a methodology explained for each version of the dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/6e5d9b0d-a448-4c73-b008-bdd98a3cf214.png	EPSG:3035	2019-06-05	None	Land cover	None	vector	None	None	1:100000	None	Input data: Corine Land Cover 2006 raster (100m) The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6e5d9b0d-a448-4c73-b008-bdd98a3cf214	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_2006_series	None	None
bfa6636e-55e1-4642-acbe-3a3bd951b798	None	Urban Morphological Zones 2000 (vector) - series	None	None	None	None	None	This series references all versions of Urban Morphological Zones 2000 (vector) starting with version 13. A UMZ is defined as a "set of urban areas laying less than 200 m apart". Urban areas have been selected from Corine Land Cover 2000, by means of a methodology explained for each version of the dataset.	None	None	FALSE	None	None	None	FALSE	None	None	FALSE	None	None	FALSE	None	https://sdi.eea.europa.eu/public/catalogue-graphic-overview/bfa6636e-55e1-4642-acbe-3a3bd951b798.png	EPSG:3035	2019-06-05	None	Land cover	None	vector	None	None	1:100000	None	Input data: Corine Land Cover 2000 raster (100m) The processing steps are described for each dataset in this series.	http://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bfa6636e-55e1-4642-acbe-3a3bd951b798	None	None	FALSE	None	EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).	FALSE	European Environment Agency	FALSE	None	None	None	None	None	None	None			None	None	eea_v_3035_100_k_umz_2000_series	None	None