External datasets catalogue

Treatment of waste by waste category, hazardousness and waste management operations (env_wastrt__custom_9286093) — 18 Jan 2024

GEOSTAT Census Population grid 2021 — 16 Jan 2024

Material flow accounts ( env_ac_mfa__custom_8837123) — 15 Jan 2024

CDP Full Cities Dataset 2022 — 11 Jan 2024

Covenant of Mayors Europe — 10 Jan 2024

Weighted impacts of EU consumption — 18 Dec 2023

Statistical pocketbook 2023, section 22 — 18 Dec 2023

Projections of the Timing of Decreasing Coastal Flood Protection — 12 Dec 2023

This data set contains projections of the timing of decreasing coastal flood protection (i.e., projections of the timing of frequency amplifications of estimated flood protection standards) associated with Hermans et al. (in revision), The Timing of Decreasing Coastal Flood Protection Due to Sea-Level Rise. It contains the output of extreme value analysis of high-frequency GESLA3 tide gauge observations (daily maxima, generalized Pareto distribution fits and return curves), total AR6 sea-level projections interpolated to GESLA3 tide gauge locations, and the required sea-level rise for and the timing of frequency amplifications relative to estimated coastal flood protection standards (FLOPROS) or to the historical centennial event. Results are included for both automatically selected extremes thresholds and for a constant threshold of 98.8% at all locations.

ETC HE Report 2023/7: Health Risk Assessment of Air Pollution: assessing the environmental burden of disease in Europe in 2021 (direct link to the datasets is not available) — 11 Dec 2023

This report presents the results of the environmental burden of disease (or health risk) assessment related to air pollution in 2021. The estimates include all-cause mortality and cause-specific mortality and morbidity health outcomes, with ten risk-outcome pairs considered for the cause-specific estimates. Cause-specific mortality and morbidity estimates are combined to allow assessing the overall impact on population health based on a common indicator, the disability-adjusted life year. Using estimates disaggregated by mortality and morbidity components allows for the identification of the related shares across European countries.

Circular material use rate (env_ac_cur__custom_8779696) — 07 Dec 2023

Use of ETS auctioning revenues - Reporting year 2023 - GovReg — 07 Dec 2023

European Marine Climate Change Index (EMCCI) (dataset URL not available) — 27 Nov 2023

Management of waste excluding major mineral waste, by waste management operations (env_wasoper)

Global Ocean Mean Sea Level time series and trend from Observations Reprocessing

The ocean monitoring indicator on mean sea level is derived from the DUACS delayed-time (DT-2021 version, “my” (multi-year) dataset used when available, “myint” (multi-year interim) used after) sea level anomaly maps from satellite altimetry based on a stable number of altimeters (two) in the satellite constellation. These products are distributed by the Copernicus Climate Change Service and are also available in the Copernicus Marine Service catalogue (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057). The mean sea level evolution estimated in the global ocean (hereafter GMSL) is derived from the average of the gridded sea level maps weighted by the cosine of the latitude. The annual and semi-annual periodic signals are removed (least scare fit of sinusoidal function) and the time series is low-pass filtered (175 days cut-off). The time series is corrected for the effect of the Glacial Isostatic Adjustment using the ICE5G-VM2 GIA model (Peltier, 2004) to consider the ongoing movement of land due to post-glacial rebound. During 1993-1998, the GMSL has been known to be affected by a TOPEX-A instrumental drift (WCRP Global Sea Level Budget Group, 2018; Legeais et al., 2020). This drift led to overestimate the trend of the GMSL during the first 6 years of the altimetry record. Accounting for this correction changes the shape of the time series, which is no more linear but quadratic, indicating mean sea level acceleration during the altimetry era. The trend uncertainty of 0.3 mm/yr is provided at 90% confidence interval (Guérou et al., 2022). This estimate only considers errors related to the altimeter observation system (i.e., orbit determination errors, geophysical correction errors and inter-mission bias correction errors). The presence of the interannual signal can strongly influence the trend estimation depending on the period considered (Wang et al., 2021; Cazenave et al., 2014). The uncertainty linked to this effect is not considered.

No dataset related — 24 Nov 2023

Municipal waste by waste management operations (env_wasmun__custom_8154723) — 22 Nov 2023

Municipal waste by waste management operations (env_wasmun__custom_8224241)

(env_wasmun__custom_8224241)

Management of waste excluding major mineral waste, by waste management operations and waste flow (env_wasflow) — 20 Nov 2023

2023

Waste electrical and electronic equipment (WEEE) by waste management operations - open scope, 6 product categories (from 2018 onwards) (env_waseleeos__custom_8223617) — 20 Nov 2023

Packaging waste by waste management operations (env_waspac)