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Metal budgets based on spatially explicit input and output data were calculated using the INTEGRATOR model; approximately 40,000 so-called NCUs as unique combinations of soil type, administrative region, slope class and altitude class were used. Available critical limits for food, water and soil organisms, from different existing regulations and studies, were converted to soil property-dependent critical metal concentrations (soil-based quality standards), which were then used to calculate critical metal inputs. \n\nThe results allow for the first time to identifying spatial hot spots for critical environmental impact of soil pollution for the four most abundant heavy metals. It thus informs policy processes important for planning and guiding sustainable agriculture and soil management. The work is methodologically novel, as it applies endpoint risk to thresholds in soils, and thus guides future impact studies. Updates with more recent land use and soil data are now possible.\n\nThe description of the included model results and the reference report is provided under \"lineage\". The data set is provided as SHP and also in a GDB, the latter including as well the N and P concentrations. 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This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries.\n\nThe Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39 except these countries: Albania, Bosnia and Herzegovina, Cyprus, Iceland, Kosovo (UNSCR 1244/99), Montenegro, North Macedonia, Romania, Serbia and T\u00fcrkiye.\n\nAn important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. 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This is an approximate size as the data itself is stored in decimal degrees (WGS84). The actual size in decimal degrees is given in the description of each data product.  ### Content of the yearly archives In each yearly archive you will find several folders. Here is the description of each folder:  - **SM-SMAP-LN-DESC:** Volumetric Soil Moisture L-band (SM) / Satellite observed volumetric soil moisture derived from L-band microwave data in combination with other bands. It is based on VanderSat's patented high-resolution technology and provides **soil moisture of the top 5 cm of the soil** depending on moisture conditions. VanderSat\u2019s L-band data is retrieved from the **SMAP satellite**. - **SM-AMSR2-C1N-DESC:** Volumetric Soil Moisture C-band (SM) / Satellite observed volumetric soil moisture derived from C-band microwave data in combination with other bands. It is based on VanderSat's patented high-resolution technology and provides **top soil soil moisture of the top 2 cm of the soil** depending on moisture conditions. VanderSat's C-band soil moisture is **derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the GCOM-W1 satellite** as well the Advanced Microwave Scanning Radiometer - EOS (AMSRE) on board the AQUA satellite. - **SM-AMSRE-C1N-DESC:** Volumetric Soil Moisture C-band (SM) / Satellite observed volumetric soil moisture derived from C-band microwave data in combination with other bands. It is based on VanderSat's patented high-resolution technology and provides **top soil soil moisture of the top 2 cm of the soil** depending on moisture conditions. VanderSat's C-band soil moisture is **derived from** the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the GCOM-W1 satellite as well the **Advanced Microwave Scanning Radiometer - EOS (AMSRE) on board the AQUA satellite**. - **SM-AMSR2-XN-DESC:** Volumetric Soil Moisture X-band (SM) / Satellite observed volumetric soil moisture derived from X-band microwave data in combination with other bands. It is based on VanderSat's patented high-resolution technology and provides **top soil soil moisture of the top 1 cm of the soil** depending on moisture conditions. VanderSat's X-band soil moisture is **derived from the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the GCOM-W1 satellite**, the Advanced Microwave Scanning Radiometer - EOS (AMSRE) on board the AQUA satellite and the GMI sensor on board the Global Precipitation Measurement (GPM) satellite. - **SM-AMSRE-XN-DESC:** Volumetric Soil Moisture X-band (SM) / Satellite observed volumetric soil moisture derived from X-band microwave data in combination with other bands. It is based on VanderSat's patented high-resolution technology and provides **top soil soil moisture of the top 1 cm of the soil** depending on moisture conditions. VanderSat\u2019s X-band soil moisture is **derived from** the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the GCOM-W1 satellite, the Advanced Microwave Scanning Radiometer EOS (AMSRE) on board the AQUA satellite and the GMI sensor on board the Global Precipitation Measurement (GPM) satellite.  All the folders starting with \"QF-\" contain the data flags related to the corresponding data.   ### Technical details GeoTIFF images are provided for the following extent (WGS84 latitude/longitude): Extent (minx, miny, maxx, maxy) = 5.7, 49.4, 6.58, 50.23 This corresponds to a number of 981 x 917 pixel  | Parameter | Value | | --- | --- | | Data type | uint16 | | Compression | LZW | | Scale | 0.001 | | Offset | 0 | | Band 1 | Soil moisture | | Band 2 | Data marked as unreliable |  | NoData | 65535 |", "keywords": ["amount", "climate", "climate-data", "climatology", "daily", "humidity", "lu", "luxembourg", "meteorological-geographical-features", "meteorological-parameter", "meteorology", "national", "quality-control-satellite-time-series", "soil", "soil-humidity", "weather"]}, "links": [{"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-154950/2002.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155101/2003.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155246/2021.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155412/2004.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155533/2005.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155652/2006.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155811/2007.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-155931/2008.zip"}, {"href": "https://download.data.public.lu/resources/soil-humidity-in-luxembourg-2002-2021/20220809-160054/2009.zip"}, {"href": 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