Soil Profile Analytical Database 14 (SPADE 14) is based on the concept used in previous versions of SPADE (SPADE 1 and 8). It includes 1078 soil profile data from 28 countries.

Database (2004) developed from the measured profiles; present in the Soil Profile Analytical Database of Europe of the European Soil Database v2. It counts 560 profiles within the EU.

Qualitative assessment on desertification risk in Greece based on Environmentally Sensitive Areas (ESAs) data of MEDALUS methodology

Google Earth Files (with ".kmz" extension) that correspond to 73 attribute maps derived from the European Soil Database v2 (ESDB v2) for EU27 countries.

Dataset that contains 3 GIS maps showing Potential threats to soil biodiversity in Europe (for soil microorganisms, for fauna,forbiological functions), along with 13 input layers (habitat fragmentation, climate change, soil erosion, etc.); resolution 500m.

This dataset consists of various elements related to soil erosion by wind: 1) Soil loss by wind erosion in European agricultural soils (2016); 1km resolution, 2) Land susceptibility to wind erosion (2014), 500m resolution, 3) Wind erosion susceptibility of Eu...

These data are the WRB soil data for the whole area covered by the Soil Atlas of the Northern Circumpolar Region. It comes as a single shapefile.

This database (2006) is a set of raster data sets that have been derived from the European soil Database v2, for most attributes. The values for the attributes are categorized (non-continuous). These rasters are an interpretation of the data that are contained...

The dataset contains the data of physical and chemical properties analysed in samples taken in Switzerland within the context of LUCAS 2015 survey. These data have been used in the study "Comparison of sampling with a spade and gouge auger for topsoil monitori...

GIS Maps (2008) produced by mapping the concentrations of eight critical heavy metals (arsenic, cadmium, chromium, copper, mercury, nickel, lead and zinc) using the 1588 georeferenced topsoil samples from the FOREGS Geochemical database. The concentrations wer...

This dataset (GIS map) (2015) represents the Cover Management factor (C-factor), one of the input layers when calculating the Universal Soil Loss Equation (USLE) model, which is the most frequently used model for soil erosion risk estimation; for EU28; resolu...

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 (2016) contains 10 maps that relate to the soil's storing and filtering capacity in Europe (the EU only): cation storing capacity (STOR_CAPCA), cation filtering capacity (FILT_CAPCA), anion storing capacity (STOR_CAPAN), anion filtering capacity (...

Plutonium and Cesium inventories in European topsoils. Includes also the Chernobyl-derived 137Cs and Global-derived 137Cs

This dataset (GIS maps) represent global lanform classification calculated by the JRC, according to 1) Meybeck et al., presenting relief classes, which are calculated based on the relief roughness, and 2) Iwahashi and Pike, presenting relief classes which are...

This dataset (GIS maps) (2015) represents the "Slope Length and Steepness factor" (LS-factor), one of the six input layers when calculating the Universal Soil Loss Equation (USLE) model, which is the most frequently used model for soil erosion risk estimation;...

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...

Map (2008) showing the natural susceptibility of agricultural soils to compaction if they were to be exposed to compaction, based on the creation of logical connections between relevant parameters (using pedotransfer rules), taking as input parameters attribu...

Rainfall erosivity dataset (2017) is one of the input layers when calculating the Revised Universal Soil Loss Equation (RUSLE) model, which is the most frequently used model for soil erosion risk estimation; for the whole World; R-factor map at resolutions of...