EMHIRES is the first publically available European wind power generation dataset derived from meteorological sources that is available up to NUTS-2 level. It was generated applying an innovative methodology capturing local geographical information to generate ...

EMHIRES is the first publically available European solar power generation dataset derived from meteorological sources that is available up to NUTS-2 level. It was generated applying the PVGIS model to capture local geographical information to generate meteorol...

EU Member States' Social Accounting Matrices with a detailed disaggregation of the bio-economy

The Response Measures Database (RMD) of the European Centre for Disease Prevention and Control (ECDC) and the Joint Research Centre (JRC) of the European Commission is a regularly updated archive of non-pharmaceutical interventions (NPIs) introduced by 30 coun...

This dataset contains the relevant data sets for the following indicators: Acidification, eutrophication, dry matter productivity (DMP), effective rainfall, evapotranspiration, forest fragmentation, tree cover loss, tropospheric ozone. Fact-sheets describing t...

The JRC - Biomass estimates database quantifies the production and residues of agricultural biomass. It has been elaborated jointly by JRC and the Nova-Institute. The indicators estimated are the harvested biomass, the amount of agricultural residues with a di...

This dashobard is associated to the paper "A Cross-Country Measurement of the EU Bioeconomy: An Input–Output Approach" developed in the context of the BIOMONITOR project financed by Horizon 2020. The study measures the development of the national income share ...

Impact assessments for agriculture are partly based on projections delivered by models. Sectoral policies are becoming more and more interrelated. Hence, there is a need to improve the capacity of current models, connect them or redesign them to deliver on an ...

Activation time (UTC): 2016-06-22 13:21:00 Event time (UTC): 2016-06-18 19:00:00 Event type: Forest fire, wild fire Activation reason: On 18 June a major forest fire started near Argaka village and on 19 June another major forest fire has occurred in Ev...

The European Commission’s Joint Research Centre (JRC) runs the EU Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM) which promotes regulatory acceptance of non-animal tests relevant to chemicals safety evaluation, through research, developme...

The EURL ECVAM Genotoxicity and Carcinogenicity Consolidated Database is a structured master database that compiles available genotoxicity and carcinogenicity information, originating from different sources, for substances tested in the bacterial reverse mutat...

This dataset (maps)(2016) indicates the availability of Raw Material (organic soil material and soil material for constructions) from soils in the European Union.

Soil loss due to crop harvesting in the European Union. The regional estimates of total Soil Loss by Crop Harvesting (SLCH) are presented at country and regional level.

This group of datasets contains 8 chemical properties: pH, pH (CaCl), Cation Exchange Capacity (CEC), Calcium carbonates (CaCO3), C:N ratio, Nitrogen (N), Phosphorus (P) and Potassium (K) using soil point data from the LUCAS 2009/2012 soil surveys (around 22,0...

Saline and Sodic Soils Map for EU-27 (2008) showing 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 o...

This dataset consists of 3 GIS maps that indicate the soil biomass productivity of grasslands and pasture, of croplands and of forest areas in the European Union (EU27)

Dataset (GIS map) (218) that shows the net soil erosion and deposition in European Union as a result of an application WaTEM/SEDEM model; resolution 100m; EU28. Data are also available at 25m resolution.

Map at 500m resolution (2014) providing a complete picture of the soil erodibility in the European Union member states. It is derived on the basis of the LUCAS 2009 soil survey exercise and the European Soil Database.

This dataset contains important AI breakthroughs that have been used for visualising the AI history as a timeline on the AI Watch portal (see the "Other resources" section below). We have classified the breakthroughs according to the domains identified in the ...