The EDGARv4.3.1 global anthropogenic emission inventory of several gaseous (SO2, NOx, CO, NMVOC, NH3) and particulate (PM10, PM2.5, BC and OC) air pollutants considers changes in activity data, fuel and air pollution abatement technology, as it likely happened...

In EDGARv4.3.1 emissions are calculated for gaseous and particulate air pollutants per sector and country. For the energy related sectors the activity data are mainly based on the energy balance statistics of IEA (2014), whereas the activity data for the agric...

In EDGARv4.3.1 emissions are calculated for gaseous and particulate air pollutants per sector and country. For the energy related sectors the activity data are mainly based on the energy balance statistics of IEA (2014), whereas the activity data for the agric...

The HTAP_v3 mosaic has been developed in the context of the UNECE Air Convention (UNECE Convention on Long-range Transboundary Air Pollution, link: https://unece.org/page404/env-lrtap) as a community effort to improve the scientific knowledge of the interconti...

EDGAR_2024_GHG is the 2024 data release of the EDGAR Community GHG emissions database, which is the outcome of an agreement between JRC and IEA to work more closely to gather and provide consistent harmonised CO2 emissions from fossil fuel combustion. This da...

The EDGARv4.tox2 is part of the Emission Database for Global Atmospheric Research (EDGAR), which provides time-series of man-made emissions of greenhouse gases, air pollutants and toxic pollutants. The EDGARv4.tox2 contains emissions of total mercury and of th...

EDGARv5.0 provides emissions not only for the greenhouse gases per sector and country but also for the air pollutants: - Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). - A...

EDGARv8.1 provides emissions not only for the greenhouse gases per sector and country but also for the air pollutants: Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOX), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4) Acidify...

The dataset includes pesticide concentrations detected above their limit of quantification (LOQ) at 373 European sites covering croplands, grasslands and woodlands. The analysed data contributed to the development of a high scientific outputs published in NATU...

A grid dataset (35 km resolution) that contains the risk assessment of natural disturbances in forests and the corresponding buffer pool for carbon farming projects under the EU Carbon Removals and Carbon Farming (CRCF) Regulation. The dataset integrates multi...

The data on bioeconomy national strategies, institutions and initiatives includes the latest available information collected via desk research and a series of surveys with EU Member States and third countries’ expert.

This dataset comprises more than 10,000 news articles referring to social media bans for minors, published between 1 January 2024 and 15 March 2025. It served as the primary input for the publication “Social Media Ban for Minors: A Computational Analysis of Me...

Wildfires induce significant disturbances to topsoil properties, increasing surface runoff and accelerating soil erosion. Despite extensive research, a global, spatially explicit quantification of cumulative post-fire erosion has been missing. This dataset add...

Data from On-Board Fuel and energy Consumption Monitoring (OBFCM) for light-duty M1 vehicles, concatenated data 2021-2023. Each record represents a unique vehicle. When multiple OBFCM readouts are available from the observation period for a single vehicle, the...

Real-world driving data from a light-duty petrol Plug-in Hybrid Electric Vehicle (PHEV) used mostly in the area of northern Italy, covering different drivers, weather and driving conditions. JRC vehicle identifier: Galileo

Real-world driving data from a light-duty Internal Combustion Engine Vehicle (ICEV) used mostly in the area of northern Italy, covering different drivers, weather and driving conditions. JRC vehicle identifier: Einstein

Real-world driving data from a light-duty Battery Electric Vehicle (BEV) used mostly in the area of northern Italy, covering different drivers, weather and driving conditions. JRC vehicle identifier: Darwin

- Version 2.0.0 (current): Daily maximum near-surface temperature in degrees Celsius from MARSMet. Spatial resolution: 10 km. Used to compute warm and cold spell duration and intensity datasets. - Version 1.0.0 (outdated): Daily interpolated maximum temperatu...

- Version 2.0.0 (current): Daily minimum near-surface temperature in degrees Celsius from MARSMet. Spatial resolution: 10 km. Used to compute warm and cold spell duration and intensity datasets. - Version 1.0.0 (outdated): Daily interpolated minimum temperatu...