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.

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.

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.

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.

This dataset presents the refined version of the degree of urbanisation of European countries. The degree of urbanisation relies on a population grid to classify local units. Originally the classification system was developed for the European Statistical System to classify local units into three classes (level 1): cities, towns & suburbs, and rural areas. In this version the classification was further refined (level 2) to also identify smaller individual settlements; distinguishing towns from suburbs and identifying villages, dispersed areas and mostly uninhabited areas in former rural areas class. The final classes of the refined degree of urbanisation dataset are six, namely 1) cities, 2) towns, 3) suburbs, 4) villages, 5) dispersed rural areas and 6) mostly uninhabited areas. The temporal reference is set between 2011 and 2012 because of the main inputs, the GEOSTAT population grid 2011 and the European Settlement Map 2012 from Copernicus. IMPORTANT NOTE: This metadata has been created using draft documentation provided by the European Commission, DG REGIO. This dataset has been created by the European Commission, DG Regional and Urban Policy (REGIO) in cooperation with the Joint Research Centre (JRC). Re-distribution or re-use of this dataset is allowed provided that the source is acknowledged.

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 EU 27 (2007).

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.

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 EU 27 (2007) Member States except for Cyprus (data from Croatia will be reported starting from the next update regarding the period 2013-2018).

This vector dataset represents the benthic broad habitat types in Europe seas potentially affected by anchoring. The anchoring of vessels can produce damages to the seafloor and the loss of the habitat where it happens. It takes place in shallow waters, close to ports, where vessels have to wait for a spot in the port so they can load or offload (since ports have a limited amount of dockage). The anchoring areas allow vessels to safely anchor in protection from bad weather or other circumstances. The type of alterations to the habitats resulting from anchoring depend mainly on the dimensions and type of the anchor, as well as its movement resulting from the movement of the vessel due to currents or waves, which can increase the adverse effects. The dataset has been prepared in the context of the development of the first European Maritime Transport Environmental Report (to be published as an EMSA-EEA report in 2021).

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 EU 27 (2007).