{"type": "FeatureCollection", "features": [{"id": "10.23986/afsci.148486", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:21:20Z", "type": "Journal Article", "created": "2025-05-26", "title": "Defining critical SOC/clay thresholds for soil health in boreal croplands using satellite-based NDVI proxies for productivity and resilience", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The European Union\u2019s soil strategy underscores the necessity for establishing feasible criteria to assess the soil health condition. In this study, we developed a method to define a critical threshold value for SOC/clay ratio on the basis of crop productivity and resilience. The study integrated data from national soil monitoring (NSM) of Finnish cropland soils (n=505) with satellite-based normalized difference vegetation index (NDVI) obtained from the EcoDataCube (EDC) portal. The study area was confined to the boreal environmental zone to ensure consistent pedo-climatic conditions. The results show that the interannual variation in crop productivity increases rapidly below SOC/clay ratio of 0.09 (95% confidence intervals ranging from 0.07 to 0.16), whereas the corresponding threshold for mean productivity was 0.13 (0.09\u20130.16). The observed threshold values were found applicable for both cereals and temporary ley. The SOC/clay ratio of 1:13 (=0.08), regarded as a criterion for healthy soil in the current Soil Monitoring Law proposal, based on studies by Johannes et al. (2017) and Prout et al. (2021), is lower than the mean thresholds estimated in this study but aligns close to the lower bound of the 95% confidence intervals. In this research, Finnish agricultural land served as the case study area, but the method is easily applicable to various pedo-climatic regions and potentially to different land use types.</p></article>", "keywords": ["S", "Soil Monitoring Law", " SOC/clay ratio", " cropland", " NDVI", " satellite data", " national soil monitoring", "Agriculture (General)", "Agriculture", "S1-972"], "contacts": [{"organization": "Heikkinen, Jaakko, Keskinen, Riikka, Ylivainio, Kari,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.23986/afsci.148486"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Food%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.23986/afsci.148486", "name": "item", "description": "10.23986/afsci.148486", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.23986/afsci.148486"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-26T00:00:00Z"}}, {"id": "10.5281/zenodo.14761001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:23:37Z", "type": "Software", "title": "PyretoClustR (executable version)", "description": "PyretoClustR (executable version)  Distilling the Pareto Optimal Front into Actionable Insights  ##Highlights:    Open-access tool to cluster and visualize complex multi-dimensional Pareto solutions  Bridging the gap between decision and objective space through intuitive visualizations  Implements k-means and k-medoids clustering without expert knowledge  Uses frequency maps to display hotspot locations for spatial optimization problems  Increasing stakeholder accessibility to Pareto solutions   Program languages: Python, RSoftware availability (source code version): https://github.com/SydneyEWhite/Pareto_ClusteringSoftware availability (executable version, with python and libraries implemented): Zenodo (10.5281/zenodo.14761001)  ## Overview    This framework performs k-means and k-medoids clustering on a set of Pareto optimal solutions derived from a multi-objective optimization algorithm.  (Optional) A correlation matrix of the input variables is returned (the goal is to help users reduce the input variable count).  Before clustering occurs, the data is cast onto principal component axes and extreme solutions are handled (if desired).  The code iterates through different possible inputs for the number of clusters, the number of principal components, and the variables that define 'extreme solutions'.  After these iterations, the best solution, as defined by silhouette score, is visualized in several ways:    Representative solutions are plotted on up to 4 dimensions  Distributions of values within the clusters are plotted in a violin plot  (optional) Maps with the frequency of a trait can be plotted, if locational data (*.shp file) is provided     ## Background: executable version  Unlike the version of PyretoClustR available on GitHub (https://github.com/SydneyEWhite/PyretoClustR), this version on Zenodo represents a standalone version of PyretoClustR not requiring a Python installation. The python_files folder contains three executables and one folder called _internal. The executables can be run by clicking on them. The _internal folder is crucial for the standalone operation of the executables and should not be modified or deleted.  ## Example Data  The data provided in the input folder (pareto_and_scen_solutions.csv and the shapefiles) are part of the BiodivERsA project TALE (\u2018Towards multifunctional agricultural landscapes in Europe\u2019). This project optimized four objectives, Agricultural gross margin (AY), Breeding habitat (BH), Low flow (LF), Nitrate load (NL) and four different land use scenarios (SQ, BAU, EXT, INT) were distinguished in the decision space.\u00a0The config.ini has been adapted to run with this dataset. To run it with your own data please alter the respective input values as outlined in config.ini.  ## Directory Structure  project_root/||\u2500\u2500 README.md||\u2500\u2500 input/|\u00a0 |\u2500\u2500 config.ini|\u00a0 |\u2500\u2500 [your_input_data].csv| \u2514\u2500\u2500 [shape_files]||\u2500\u2500 python_files/|\u00a0 |\u2500\u2500 _internal|\u00a0 |\u2500\u2500 correlation_matrix.exe|\u00a0 |\u2500\u2500 kmeans.exe| \u2514\u2500\u2500 kmedoid.exe||\u2500\u2500 r_files/| \u2514\u2500\u2500 plot_frequency_maps.R|\u2514\u2500\u2500 output/ (populated once code is run)\u00a0\u00a0 |\u2500\u2500 correlation_matrix.csv (if run)\u00a0\u00a0 |\u2500\u2500 kmeans_data_w_clusters_representativesolutions.csv (created with kmeans.exe when Extreme Solutions are not handled)\u00a0\u00a0\u00a0 |\u2500\u2500 kmeans_data_w_clusters_representativesolutions_outliers.csv (created with kmeans.exe when Extreme Solutions are handled)\u00a0\u00a0 |\u2500\u2500 kmedoid_data_w_clusters_representativesolutions.csv (created with kmedoid.exe when Extreme Solutions are not handled)\u00a0\u00a0 |\u2500\u2500 kmedoid_data_w_clusters_representativesolutions_outliers.csv (created with kmedoid.exe when Extreme Solutions are handled)\u00a0 \u2514\u2500\u2500 freq_map_cluster_X.png (if run)", "keywords": ["Multi-objective optimization", "Pareto pruning", "Land management", "Pareto optimal data", "visualization", "clustering"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14761001"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14761001", "name": "item", "description": "10.5281/zenodo.14761001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14761001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.15772619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:02Z", "type": "Dataset", "title": "Dataset to: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Near-Infrared (NIR) Austrian Soil Spectral Library (ASSL, 680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL \u2018Towards climate-smart sustainable management of agricultural soils\u2019 (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "Spectroscopy", " Near-Infrared", "data"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15772619"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15772619", "name": "item", "description": "10.5281/zenodo.15772619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15772619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-07T00:00:00Z"}}, {"id": "10.5281/zenodo.16261617", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:05Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16261617"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16261617", "name": "item", "description": "10.5281/zenodo.16261617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16261617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.17941270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:12Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17941270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17941270", "name": "item", "description": "10.5281/zenodo.17941270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17941270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.4487144", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:20Z", "type": "Dataset", "title": "Eddy Covariance data from ICOS-associated station IT-NIV \u2013 August-November 2019", "description": "RestrictedData stored here refer to Eddy Covariance (EC) data measured in 2019 between August and November at the Alpine CZO (Critical Zone Observatory, hereafter CZO@Nivolet) which was established at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP), located in the western Italian Alps. The EC site (IT-NIV) is an ICOS-associated station. CZO@Nivolet is aimed at investigating the cross-scale interactions between climatic shifts and ecosystem functions multiple scales, involving multidisciplinary studies. The main research questions that we aim to answer are concerning: (a) the effect of bedrock lithology, soil physics and chemisty, topographic hetereogenity, biotic components and meteo-climatic parameters in modulating CO<sub>2</sub> flux in alpine grassland; and (b) what are the controlling factors of organic C and weathering under geologic substrates and different topographic positions. The investigations started in 2017. In 2019, the EC tower was added to deeply study CO<sub>2</sub>, H<sub>2</sub>0, latent and sensible heat exchanges between soil, vegetation, and atmosphere. Carbon dioxide fluxes and environmental variables are recorded during the snow-free season to estimate carbon storage and explore CO<sub>2</sub> fluxes drivers in high-altitude grasslands. Further developments will regard the integration of different techniques (Eddy Covariance, Remote Sensing, Flux chambers) to improve both spatial and temporal extent of carbon fluxes estimates to finally assess grasslands' productivity.", "keywords": ["13. Climate action", "alpine grassland", "15. Life on land", "Gran Paradiso National Park", "Mountain", "EO_Data", "Eddy Covariance", "Net Ecosystem Exchange", "ecosystem-atmosphere carbon exchange"], "contacts": [{"organization": "Vivaldo, Gianna, Raco, Brunella, Baneschi, Ilaria, Giamberini, Maria Silvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4487144"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4487144", "name": "item", "description": "10.5281/zenodo.4487144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4487144"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-20T00:00:00Z"}}, {"id": "10.5281/zenodo.7041393", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:32Z", "type": "Other", "title": "QBS-ar and QBS-ar_BF index toolbox for biodiversity assessment of microarthropods community in soil", "description": "This toolbox contains a proposal and detailed instructions for the standardization of the QBS-ar index procedure. The QBS-ar index (Parisi, 2001; Parisi et al., 2005) is an index aimed at assessing soil-dwelling microarthropod communities in relation to their soil adaptation level. The core of QBS-ar index principle is: the higher is soil quality, the higher will be the number of microarthropod groups well adapted to soil habitats living there. Soil quality here stands for good stability, high organic matter content, and good biodiversity level. Worth of notice, QBS-ar is not comprehensive of the whole soil biodiversity or whole soil quality.\u00a0  For each sample to be assessed with the QBS-ar method, three different samplings are performed 5-10 meters apart (Menta et al., 2018), obtaining three subsamples (replicates) that are considered representative of an area homogeneous for slope and vegetation. 1-page guidelines for sampling and extraction were detailed in file\u00a0\u20181.QBS-ar sampling and extraction guidelines.pdf\u2019.\u00a0  The functional characteristics for soil adaptation of microarthropods are the reduction of visual structures as microphthalmia or even anophthalmia, the reduction or loss of pigmentation and dehydration adaptations (thinner cuticle, shorter setas or chaeta loss), appendage reduction (as shorter and/or smaller antennae, legs, furca), miniaturization, streamlined body form. Starting from these principles, soil organisms could be divided into a discrete set of Biological Forms (BFs, eco-morpho-types) according to their morphological adaptation to soil (Menta et al., 2018); in the EXCALIBUR and EJP-Minotaur projects, CREA Research Centre for Agriculture and Environment, in collaboration with the National QBS-ar working group (D\u2019Avino et al., 2021), recognized no less than 54 different BFs, 16 of which were classified as less frequent. Each BF is shortly described and\u00a0 associated with a score, the so-called Eco-Morphological Index (EMI), which ranges from 1 to 20 in proportion to the increasing degree of the soil adaptation of microarthropods. As reported by Parisi et al. (2005), some taxa show only one single EMI value because all species belonging to these taxa report the same adaptation level to the soil. Other groups show a range of EMIs in relation to the different adaptation levels of species to the soil. In general, eu-edaphic forms get EMI = 20, hemi-edaphic get an EMI rating proportionate to their degree of soil adaptation, while epedaphic (epigean) forms get EMI score = 1 (Menta et al., 2018). In QBS-ar whenever two eco-morphological forms are present in the same group, the final score is determined by the higher EMI. In other words, the most highly adapted microarthropods belonging to a group determine the overall EMI score for that group (Parisi et al 2005). This statement is not valid for the QBS-ar_BF proposed here, for which every biological form concurs to the calculation of QBS-ar_BF index, regardless of whether or not it belongs to the same group (i.e. class or order). Moreover, to assess variability between subsamples (replicates) an index based on spectral analysis (D\u2019Avino, 2019) is proposed. The file\u00a0\u20182.Sheet for QBS-ar record and calculation_v2.xlsx\u2019\u00a0provides the selection of 54 most common BFs in European soils and should be used as a template for data registration during the microarthropods identification and count at the stereomicroscope. As outlined in the \u201cREADME\u201d sheet of the excel file, the user should register the abundance of each BF and other sampling-related information, and the template will automatically perform a series of calculations and will format several output sheets. In particular it calculates: mean abundance of microarthropods and relative class of abundance,\u00a0QBS-ar, QBS-ar_BF, variability index community based on spectral analysis.\u00a0  One example of the compilated sheet is reported as file\u00a0\u20182a.Filled_template_example_v2.pdf\u2019. The sampling was carried out during MINOTAUR project, the example was implemented starting from file\u00a0\u20182. Sheet for QBS-ar record and calculation.xlsx\u2019.\u00a0  \u00a0The file '2.1.Sheet for QBS-ar record and calculations_v2.1.xlsx' contains updates to the previous version:      In the \u2018QBS-ar sheet\u2019 the formulas for calculating Density n.m-2, Class n.m-2, Density n.kg-1 and S1 in Pauropoda_20 have been corrected     In the \u2018\u201dExport_Subsamples\u201d sheet, the formula of Pauropoda_20 has been corrected     In the \u2018Export_MINOTAUR\u2019 sheet the formulas for Hymenoptera_AB, Hymenoptera_Number_taxa, Diplopoda_AB and Diplopoda_Number_taxa have been corrected     In the \u2018Codelist\u2019 sheet, Pest_control_method_Insecticide was added between Main_Pest_control_methods    The file '2.Sheet for QBS-ar record and calculation. vers_3.xlsx' is the latest version of the sheet. It contains several updates regarding the metadata that can be entered, updated descriptions of the biological forms and their common name. The order of the biological forms has been changed from the previous version: Hymenoptera-L_10 has been moved between the rare forms and Symphyla_20 has been moved between Chilopoda_20 and Pauropoda_20. One example of the compilated sheet is reported as file\u00a0\u20182a.Filled_template_example_v3.pdf\u2019.  This file also contains a new printable sheet called 'Data_report' that automatically summarizes the values of the QBS indices, diversity indices (Shannon, Evenness, Simpson and Richness) and abundances per square meter of the different biological forms along with the graphs.  The collection, merging and organization of data from the precompiled sheet could be a cumbersome task, especially for surveys with many different samples. The user would need to copy-paste each row in the \u201cExport_Sample\u201d or \u201cExport_Subsample\u201d sheets (from file 2.) to a new file, to perform overall analysis; an error-prone operation. To ease this process, we have compiled a short R script that can be found in this submission as the third file\u00a0\u20183.QBS-ar data merging_v2.R\u2019. By using the script, the user would automatically obtain three files (csv and/or xlsx, that will be stored in a \u201cResults\u201d folder) resulting from the merging of any number of QBS precompiled templates collected in a folder:\u00a0\u00a0  1. The result of the merge of \u201cExport_Sample\u201d sheets\u00a0  2. The result of the merge of \u201cExport_Subsample\u201d sheets\u00a0\u00a0  3. The result of the merge of\u00a0 'Export_MINOTAUR' sheets\u00a0  The latest version of the script is \u201c3.QBS-ar data merging_v3.R\u201d  It is recommended to use this version for the file \u201c2.Sheet for QBS-ar record and calculation. vers_3.xlsx\u201d  \u00a0  Cited reference\u00a0  D\u2019Avino, L., Menta, C., Jacomini, C., Cassi, F., L\u2019Abate, G., La Terza, A., Staffilani, F., Pocaterra, F., Piazzi, M., Parisi, V. (2021). The Italian skill network of Soil Biological Quality assessed by microarthropods\u2019 community, in: FAO. 2021. Keep soil alive, protect soil biodiversity \u2013Global Symposium on Soil Biodiversity 19\u201322 April 2021. Proceedings. Rome. ISBN [978-92-5-135218-2] pages 182-188. Available at\u00a0https://doi.org/10.4060/cb7374en\u00a0(accessed 11/11/2024)\u00a0  D\u2019Avino 2019. Soil mesofauna QBS-ar index in: Malusa et al. Common guidelines for analytical methods.\u00a0\u00a0https://cordis.europa.eu/project/id/817946/results/it\u00a0(Accessed 11/11/2024)\u00a0  Menta, C., Conti, F. D., Pinto, S., Bodini, A. (2018). Soil Biological Quality index (QBS-ar): 15 years of application at global scale. Ecological Indicators, 85, 773-780.\u00a0  Parisi V. (2001). La qualit\u00e0 biologica del suolo. Un metodo basato sui microartropodi [In Italian] Acta Naturalia de L\u2019Ateneo Parmense 37, 97-106.\u00a0  Parisi, V., Menta, C., Gardi, C., Jacomini, C., Mozzanica, E. (2005). Microarthropod communities as a tool to assess soil quality and biodiversity:\u00a0 a new approach in Italy. Agriculture, Ecosystems & Environment, 105 (12), 323-333.", "keywords": ["Data manipulation", "Mesofauna", "QBS data template", "Soil biodiversity", "Soil quality"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7041393"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7041393", "name": "item", "description": "10.5281/zenodo.7041393", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7041393"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-11T00:00:00Z"}}, {"id": "10.5281/zenodo.7598122", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:24:37Z", "type": "Software", "title": "EJP MTE/LTE metadataset v1.0.1", "description": "Initial release of the analysis on mid-term and long-term field experiments collected within task 7.3 of EJP SOIL. Data was acquired and collected thanks to National Coordinators and LTE owners (sorted by country alphabetically) from Austria (Pia Euteneuer, Lisa Makoschitz), Belgium (Joran Barbry, Franky Coopman, Tommy D'Hose, Bruno Huyghebaert, Stijn Martens, Joris De Nies, Bert Reubens, Veerle De Rycke, Tomas Vandesande), Czech Republic (Ladislav Men\u0161\u00edk), Denmark (Bent T. Christensen, J\u00f8rgen Eriksen, Uffe J\u00f8rgensen, Lars J. Munkholm, J\u00f8rgen E. Olesen, Gitte H. Rub\u00e6k), Estonia (Alar Astover, Karin Kauer, Liina Talgre), Finland (Riitta Lemola), France (Aurore BRUT, Sabine Houot, Frida Keuper, Katja Klumpp, Frederic Launay, Frederique Louault, Thierry Morvan, Tiphaine TALLEC, Francoise Watteau), Hungary (T\u00f3th Eszter, Istv\u00e1n Henzsel, S\u00e1ndor Ko\u00f3s, Bal\u00e1zs Madar\u00e1sz, Mariann Mak\u00e1di, L\u00e1szl\u00f3 Radimszky, P\u00e9ter Rag\u00e1lyi, Anita Szab\u00f3, Melinda Tar, Nikolett Uzinger), Ireland (David Wall), Italy (Roberto Barbetti, Gianluca Carboni, Mariangela Diacono, Paolo Mul\u00e9, Gaio Cesare Pacini, Baronti Silvia, Vincenzo Tabaglio, Domenico Ventrella, Nadia Vignozzi, Laura Zavattaro), Latvia (Janis Vigovskis), Lithuania (Virginijus Feiza, Grazina Kadziene, Danute Karcauskiene, Virmantas Povilaitis), Netherlands (Phillip Ehlert, Willem van Geel, Jantine van Middelkoop, Rene Schils, Wieke Vervuurt, Marie Wesselink), Norway (Trond Maukon Henriksen, Annbj\u00f8rg \u00d8verli Kristoffersen), Poland (Jacek Nied\u017awiecki), Portugal (Nadia Castanheira, Raquel Mano), Slovakia (Jaroslava Sobocka), Slovenia (Rok Miheli\u010d), Spain (Jorge Alvaro-Fuentes, Jose A. Gomez, Carlos Garcia Izquierdo, C\u00e9sar Plaza, In\u00e9s Sant\u00edn-Montany\u00e1), Sweden (Helena Aronsson, \u00d6rjan Berglund, Sabina Braun), Turkey (Ibrahim Ortas) and UK (Catalina Estrada, Dario Fornara, Jane Hawkins, Gareth Griffith, Marecia, Andy McDonald, Jonathan Millett, Robin Pakeman, Raj Whitlock).", "keywords": ["long-term field experiment", "LTE", "EJP MTE/LTE dataset", "meta-dataset", "mid-term field experiment"], "contacts": [{"organization": "Blanchy, Guillaume, D'Hose, Tommy, Donmez, Cenk, Hoffmann, Carsten, Makoschitz, Lisa, Murugan, Rajasekaran, O'Sullivan, Lilian, Sand\u00e9n, Taru, Spiegel, Adelheid, Svoboda, Nikolai, Zechmeister-Boltenstern, Sophie, Klumpp, Katja,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7598122"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7598122", "name": "item", "description": "10.5281/zenodo.7598122", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7598122"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-02T00:00:00Z"}}, {"id": "10.5281/zenodo.8057232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:24:41Z", "type": "Dataset", "title": "Upscaling soil organic carbon measurements at the continental scale using multivariate clustering analysis and machine learning", "description": "<strong>Data Description</strong>: To improve SOC estimation in the United States, we upscaled site-based SOC measurements to the continental scale using multivariate geographic clustering (MGC) approach coupled with machine learning models. First, we used the MGC approach to segment the United States at 30 arc second resolution based on principal component information from environmental covariates (gNATSGO soil properties, WorldClim bioclimatic variables, MODIS biological variables, and physiographic variables) to 20 SOC regions. We then trained separate random forest model ensembles for each of the SOC regions identified using environmental covariates and soil profile measurements from the International Soil Carbon Network (ISCN) and an Alaska soil profile data. We estimated United States SOC for 0-30 cm and 0-100 cm depths were 52.6 + 3.2 and 108.3 + 8.2 Pg C, respectively. Files in collection (32): Collection contains 22 soil properties geospatial rasters, 4 soil SOC geospatial rasters, 2 ISCN site SOC observations csv files, and 4 R scripts gNATSGO TIF files: \u251c\u2500\u2500 available_water_storage_30arc_30cm_us.tif [30 cm depth soil available water storage]<br> \u251c\u2500\u2500 available_water_storage_30arc_100cm_us.tif [100 cm depth soil available water storage]<br> \u251c\u2500\u2500 caco3_30arc_30cm_us.tif [30 cm depth soil CaCO3 content]<br> \u251c\u2500\u2500 caco3_30arc_100cm_us.tif [100 cm depth soil CaCO3 content]<br> \u251c\u2500\u2500 cec_30arc_30cm_us.tif [30 cm depth soil cation exchange capacity]<br> \u251c\u2500\u2500 cec_30arc_100cm_us.tif [100 cm depth soil cation exchange capacity]<br> \u251c\u2500\u2500 clay_30arc_30cm_us.tif [30 cm depth soil clay content]<br> \u251c\u2500\u2500 clay_30arc_100cm_us.tif [100 cm depth soil clay content]<br> \u251c\u2500\u2500 depthWT_30arc_us.tif [depth to water table]<br> \u251c\u2500\u2500 kfactor_30arc_30cm_us.tif [30 cm depth soil erosion factor]<br> \u251c\u2500\u2500 kfactor_30arc_100cm_us.tif [100 cm depth soil erosion factor]<br> \u251c\u2500\u2500 ph_30arc_100cm_us.tif [100 cm depth soil pH]<br> \u251c\u2500\u2500 ph_30arc_100cm_us.tif [30 cm depth soil pH]<br> \u251c\u2500\u2500 pondingFre_30arc_us.tif [ponding frequency]<br> \u251c\u2500\u2500 sand_30arc_30cm_us.tif [30 cm depth soil sand content]<br> \u251c\u2500\u2500 sand_30arc_100cm_us.tif [100 cm depth soil sand content]<br> \u251c\u2500\u2500 silt_30arc_30cm_us.tif [30 cm depth soil silt content]<br> \u251c\u2500\u2500 silt_30arc_100cm_us.tif [100 cm depth soil silt content]<br> \u251c\u2500\u2500 water_content_30arc_30cm_us.tif [30 cm depth soil water content]<br> \u2514\u2500\u2500 water_content_30arc_100cm_us.tif [100 cm depth soil water content] SOC TIF files: \u251c\u2500\u250030cm SOC mean.tif [30 cm depth soil SOC]<br> \u251c\u2500\u2500100cm SOC mean.tif [100 cm depth soil SOC]<br> \u251c\u2500\u250030cm SOC CV.tif [30 cm depth soil SOC coefficient of variation]<br> \u2514\u2500\u2500100cm SOC CV.tif [100 cm depth soil SOC coefficient of variation] site observations csv files: ISCN_rmNRCS_addNCSS_30cm.csv 30cm ISCN sites SOC replaced NRCS sites with NCSS centroid removed data ISCN_rmNRCS_addNCSS_100cm.csv 100cm ISCN sites SOC replaced NRCS sites with NCSS centroid removed data <br> <strong>Data format</strong>: Geospatial files are provided in Geotiff format in Lat/Lon WGS84 EPSG: 4326 projection at 30 arc second resolution. <strong>Geospatial projection</strong>: <pre><code>GEOGCS['GCS_WGS_1984', DATUM['D_WGS_1984', SPHEROID['WGS_1984',6378137,298.257223563]], PRIMEM['Greenwich',0], UNIT['Degree',0.017453292519943295]] (base) [jbk@theseus ltar_regionalization]$ g.proj -w GEOGCS['wgs84', DATUM['WGS_1984', SPHEROID['WGS_1984',6378137,298.257223563]], PRIMEM['Greenwich',0], UNIT['degree',0.0174532925199433]] </code></pre>", "keywords": ["gNATSGO", "the United States SOC", "US soil properties", "15. Life on land", "Gridded National Soil Survey Geographic Database", "International Soil Carbon Network (ISCN)"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8057232"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8057232", "name": "item", "description": "10.5281/zenodo.8057232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8057232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-25T00:00:00Z"}}, {"id": "10.7910/DVN/T8CMAT", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:25:30Z", "type": "Dataset", "created": "2016-02-28", "title": "GMCSD-2. Global Mangrove Carbon, 2000 to 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 to 2012, 1 Arc-Second, 1 m Soil, mid, EQ5.  <p> Annual stocks.  <p> Each of these 13 years is 3TB when extracted. So that is 39 TB as a tif. <p> We needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no TIffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/T8CMAT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/T8CMAT", "name": "item", "description": "10.7910/DVN/T8CMAT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/T8CMAT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "18968587-3633-4987-a27a-685862803552~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:33:56Z", "type": "Dataset", "language": "de", "title": "GcB\u00dcK400 \u2014 arsenic in the upper floor", "description": "Arsenic is a semi-metal, ubiquitous and toxic element. It is widely found in nature in various mineralisations as arsenic sulphide or oxide and as copper, nickel and iron arsenate. The average As content of the rocks of the upper continental crust (Clark value) is 2\u00a0mg/kg. In the literature, As levels 20\u00a0mg/kg are described as normal levels, the mean content being about 5\u00a0mg/kg. Among the toxic elements, the arsenic is particularly important due to its large spread of increased content in Saxon soils. The causes are undoubtedly to be found in the geochemical-metallogenetic specialisation of the Fichtelgebirgisch Erzgebirgic Anticlinal Zone. The area-related mean A content of the main rock types (petrogeochemical component) is approximately 13\u00a0mg/kg. The chalkogenic component is of particular importance in the Ore Mountains. In addition to the element enrichment in the mineralisation itself, which was the subject of mining, there was also a large-scale influence on the side rocks or their weathering products (primary and secondary geochemical aureoles). The anthropogenic influence of natural soils is mainly due to the ore treatment plants and the emissions of non-ferrous metalworks. Whereas low levels dominate in the upper soils of North and in parts of central axis (as-poor periglaciary sandy to loamy substrates; L\u00f6ss), a relative enrichment occurs in the weathering soils via solid rocks as a result of the higher petrogenic A component. Important regional anomalies are mainly located in the Freiberg region (Osterzgebirge), the most important site of mining and the smelting of polymetallic ores, as well as in the West Ore Mountains (Aure \u2014 Ehrenfriedersdorf area). The great extent and intensity of the spread of As minerals in polymetallic, tin-tungsten and bi-co-Ni-Ag-U ore formations, as well as their prevention, led to large-scale geogenic and anthropogenic enrichments. Both areas are separated by the north-south-souting Fl\u00f6ha zone, an area in which hardly any ore mineralisations occur and thus the chalkogenic component is rarely developed. Large-area elevated As levels in soils of the Vorerzgebirgssenke (Zwickau \u2014 Chemnitz) are due to the geochemically specialised rotary sediments (including removal products of the Ore Mountains). Particularly high levels of As are common in the meadows of the Freiberger Mulde, Zschopau, Zwickauer Mulde and the United Mulde. Due to the geological process of the removal of soils from the ore-mounted deposits as well as anthropogenic inputs by the ore processing and metallurgy industry, the deposit of the river sediments and swine parts in the flooding areas leads to constant as-enrichment in the floodplains. As a result of the geogenic and anthropogenic processes described above, the test and measure values of the Federal Soil Protection and Contaminant Ordinance (BBodSchV) for arsenic are sometimes exceeded.", "keywords": ["anorganischer-schadstoff", "arsen", "boden", "chemie", "chemisches-element", "de", "geologie", "opendata"]}, "links": [{"href": "https://luis.sachsen.de/boden/geodatendownload.html"}, {"href": "http://data.europa.eu/88u/dataset/18968587-3633-4987-a27a-685862803552~~1"}, {"href": "https://geoportal.sachsen.de/md/18968587-3633-4987-a27a-685862803552"}, {"rel": "self", "type": "application/geo+json", "title": "18968587-3633-4987-a27a-685862803552~~1", "name": "item", "description": "18968587-3633-4987-a27a-685862803552~~1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/18968587-3633-4987-a27a-685862803552~~1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "383c70fe-7169-43da-89da-e45b126f3a70~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:33:57Z", "type": "Dataset", "language": "de", "title": "GcB\u00dcK400 \u2014 Zinc in the upper floor", "description": "Zinc is an essential trace element for plants, animals and humans, which, however, can have a toxic effect on plants and microorganisms at extremely high levels. The concentration of Zn in the upper continental crust (Clark value) is 52\u00a0mg/kg, but it can vary greatly depending on the type of rock. The mean Zn (median) grades of the Saxon main rock types range from 11 to 140\u00a0mg/kg, while the regional Clarke of the Ore Mountains is approximately 79\u00a0mg/kg. Sphalerite (zinc aperture) leading polymetallic lathers can locally lead to additional geogenic Zn enrichments in the soils. Anthropogenic Zn entries are mainly carried out by iron and non-ferrous metallurgy or by the Zn-processing industries (colours, alloys, electroplating) and by large combustion plants. In the area of agglomerations, Zn enrichments are relatively common. Anthropogenic Zn entries are possible in agriculture through the use of organic and mineral fertilisers. For uncontaminated soils, Zn levels of 10 to 80\u00a0mg/kg are considered normal. The regional distribution of the Zn content in the Saxon soils is mainly determined by the geogenic embossing of the substrates; low to medium grades can be expected over the periglacial sands and clays in the north and the loess soils in middle axes (10 to 50\u00a0mg/kg) and weathering soils above the solid rocks of the Ore Mountains/Vogtland (50 to 150\u00a0mg/kg). Within the basement units, significant positive Zn anomalies occur via the polymetallic deposits of the Ore Mountains, depending on the intensity of the mineralisation (Freiberg, Annaberg-Buchholz \u2014 Marienberg, Aue \u2014 Schwarzenberg). Soils over substrates with extremely low Zn content (Granite of Eibenstock, Orthogneise of the Ore Mountains Central Zone, Easter Mountain Eruptive Complex, Cretan sandstones) appear as negative Zn anomalies in the map image. Reinforced Zn accumulators are to be detected in the floodplain floors of the trough system. Due to the higher geogenic basic contents in the water catchment area, the occurrence of Zn-conducting polymetallic minerals and in particular the mining and metallurgical activity in the Freiberg region, high concentrations of Zn (median content 370 and 240\u00a0mg/kg respectively) occur mainly in the meadows of the Freiberger and United Mulde. No test and measure values have been established for the soil-human and soil-plant effects pathways for total levels in the Federal Soil Protection and Contaminant Ordinance (BBodSchV), as Zn is of little importance in the risk assessment.", "keywords": ["anorganischer-schadstoff", "boden", "chemie", "chemisches-element", "de", "geologie", "opendata", "zink", "zn"]}, "links": [{"href": "https://luis.sachsen.de/boden/geodatendownload.html"}, {"href": "http://data.europa.eu/88u/dataset/383c70fe-7169-43da-89da-e45b126f3a70~~1"}, {"href": "https://geoportal.sachsen.de/md/383c70fe-7169-43da-89da-e45b126f3a70"}, {"rel": "self", "type": "application/geo+json", "title": "383c70fe-7169-43da-89da-e45b126f3a70~~1", "name": "item", "description": "383c70fe-7169-43da-89da-e45b126f3a70~~1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/383c70fe-7169-43da-89da-e45b126f3a70~~1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1021/acs.est.3c01816", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:18:02Z", "type": "Journal Article", "created": "2023-09-08", "title": "Effects of Climate Change on Soil Organic Matter C and H Isotope Composition in a Mediterranean Savannah (Dehesa): An Assessment Using Py-CSIA", "description": "Dehesas are Mediterranean agro-sylvo-pastoral systems sensitive to climate change. Extreme climate conditions forecasted for Mediterranean areas may change soil C turnover, which is of relevance for soil biogeochemistry modeling. The effect of climate change on soil organic matter (SOM) is investigated in a field experiment mimicking environmental conditions of global change scenarios (soil temperature increase, +2-3 \u00b0C, W; rainfall exclusion, 30%, D; a combination of both, W+D). Pyrolysis-compound-specific isotope analysis (Py-CSIA) is used for C and H isotope characterization of SOM compounds and to forecast trends exerted by the induced climate shift. After 2.5 years, significant \u03b413C and \u03b42H isotopic enrichments were detected. Observed short- and mid-chain n-alkane \u03b413C shifts point to an increased microbial SOM reworking in the W treatment; a 2H enrichment of up to 40\u2030 of lignin methoxyphenols was found when combining W+D treatments under the tree canopy, probably related to H fractionation due to increased soil water evapotranspiration. Our findings indicate that the effect of the tree canopy drives SOM dynamics in dehesas and that, in the short term, foreseen climate change scenarios will exert changes in the SOM dynamics comprising the biogeochemical C and H cycles.", "keywords": ["2. Zero hunger", "Take urgent action to combat climate change and its impacts", "Analytical pyrolysis", "Climate Change", "biomarkers", "nalyticalpyrolysis", "15. Life on land", "Mediterranean soil", "Trees", "\u03b42H", "\u03b413C \u03b42H", "Soil", "Isotopes", "13. Climate action", "Alkanes", "\u03b413C", "Climate change", "http://metadata.un.org/sdg/13", "climatechange", "Biomarkers", "Pyrolysis"]}, "links": [{"href": "https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c01816"}, {"href": "https://doi.org/10.1021/acs.est.3c01816"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1021/acs.est.3c01816", "name": "item", "description": "10.1021/acs.est.3c01816", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1021/acs.est.3c01816"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-08T00:00:00Z"}}, {"id": "10.5194/gmd-10-1903-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:22:37Z", "type": "Journal Article", "created": "2017-05-17", "title": "GLEAM\u00a0v3: satellite-based land evaporation and root-zone soil moisture", "description": "<p>Abstract. The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1)\uffc2\uffa0a revised formulation of the evaporative stress, (2)\uffc2\uffa0an optimized drainage algorithm, and (3)\uffc2\uffa0a new soil moisture data assimilation system. GLEAM\uffc2\uffa0v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980\uffe2\uff80\uff932015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C- and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003\uffe2\uff80\uff932015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011\uffe2\uff80\uff932015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land\uffe2\uff80\uff93atmosphere feedbacks.                     </p>", "keywords": ["TERRESTRIAL WATER FLUXES", "QE1-996.5", "PONDEROSA PINE", "CARBON-DIOXIDE EXCHANGE", "WACMOS-ET PROJECT", "TRIPLE COLLOCATION ANALYSIS", "DATA ASSIMILATION SYSTEM", "Geology", "15. Life on land", "01 natural sciences", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "PARAMETER RETRIEVAL MODEL", "13. Climate action", "Earth and Environmental Sciences", "ENERGY-BALANCE", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/1903/2017/gmd-10-1903-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-1903-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-1903-2017", "name": "item", "description": "10.5194/gmd-10-1903-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-1903-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-05T00:00:00Z"}}, {"id": "a0b4c95f-9a55-4362-bd73-1c3ab2a5f32e", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:56:51", "type": "Dataset", "language": "de", "title": "INSPIRE Soil / Hazard Levels Water Erosion (RxKxS) BB", "description": "Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR \u00fcber die Gef\u00e4hrdungsstufen Wassererosion (RxKxS) Brandenburg, transformiert in das INSPIRE-Zielschema Boden. Der Datensatz wird \u00fcber je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt. Im Datensatz Gef\u00e4hrdungsstufen wird die r\u00e4umliche Verteilung der potenziellen Bodenerosionsgef\u00e4hrdung durch Wasser auf den landwirtschaftlichen Fl\u00e4chen Brandenburgs dargestellt. Die Bestimmung erfolgte in Anlehnung an DIN19708 (https://dx.doi.org/10.31030/2676773), deren zu Grunde liegende Methode als Allgemeine Bodenabtragsgleichung (ABAG) bezeichnet wird. Die Erosionsgef\u00e4hrdung wird in einer r\u00e4umlichen Aufl\u00f6sung von 5x5 Meter dargestellt. Die potenzielle Erosionsgef\u00e4hrdung durch Wasser, die auch als nat\u00fcrlicher Erosionsgef\u00e4hrdung bezeichnet wird, ergibt sich aus der Klassifizierung des potenziellen Bodenabtrags nach DIN19708 in Gef\u00e4hrdungsstufen. Der potenzielle Bodenabtrag durch Wasser ergibt sich aus der Kombination des Regenerosivit\u00e4tsfaktors R, des Bodenerodierbarkeitsfaktors K und des Hangneigungsfaktors S. Die Gef\u00e4hrdung wird in sieben Stufen von 0 (keine Gef\u00e4hrdung) bis 6 (extrem hohe Gef\u00e4hrdung) angegeben.      ---      The compliant INSPIRE data set contains data about the risk levels for water erosion (RxKxS) Brandenburg from the LBGR, transformed into the INSPIRE annex schema Soil. The data set is provided via compliant view and download services. It shows the spatial distribution of the potential soil erosion risk caused by water on agricultural land in Brandenburg. The determination was based on DIN19708 (https://dx.doi.org/10.31030/2676773), for which the underlying method is referred to as the Allgemeine Bodenabtragsgleichung (ABAG). The soil erosion risk is presented in a spatial resolution of 5x5 meters. The potential soil erosion risk caused by water, which is also known as natural soil erosion risk, results from the classification of the potential soil loss according to DIN19708 into risk levels. The potential soil loss caused by water results from the combination of the rainfall-runoff erosivity factor R, the soil erodibility factor K and the slope steepness factor S. The erosion risk is indicated in seven levels from 0 (no risk) to 6 (extremely high risk).", "formats": [{"name": "WCS_SRVC"}], "keywords": ["High value dataset", "boden", "bodenerosion", "bodenerosionsgefa\u0308hrdung", "bodenerosionsgefa\u0308hrdung-durch-wasser-in-brandenburg", "bodenkunde", "brandenburg", "de", "erdbeobachtung-und-umwelt", "erosion", "erosionsgefa\u0308hrdung", "gefa\u0308hrdungsstufen", "geologie", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "opendata", "process", "regional", "soil", "soillayer", "wassererosion", "water-erosion", "watererosionrisktopsoil"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://inspire.brandenburg.de/services/boerosion_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "https://inspire.brandenburg.de/services/so_boerosion_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "https://inspire.brandenburg.de/services/so_boerosion_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/a0b4c95f-9a55-4362-bd73-1c3ab2a5f32e~~2"}, {"rel": "self", "type": "application/geo+json", "title": "a0b4c95f-9a55-4362-bd73-1c3ab2a5f32e", "name": "item", "description": "a0b4c95f-9a55-4362-bd73-1c3ab2a5f32e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/a0b4c95f-9a55-4362-bd73-1c3ab2a5f32e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "c4a3ee01-8ab6-490b-8d8e-71dcb16571fd", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-03T08:42:08", "type": "Dataset", "language": "de", "title": "INSPIRE Soil / Fl\u00e4chentyp Pedogenese", "description": "Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR zum Fl\u00e4chentyp Pedogenese der Konzeptbodenkarten (KBK) Brandenburgs, zugeordnet in das INSPIRE-Zielschema Boden. Der Datensatz beinhaltet Angaben zur bodensystematischen Einheit auf Typenebene (Bodentyp) nach Bodenkundlicher Kartieranleitung. Der Bodensystematik liegt ein morphogenetisches Prinzip zugrunde, wobei der Profilaufbau eines Bodens und seine von der Bodenentwicklung bestimmte Horizontausbildung und Horizontabfolge im Mittelpunkt stehen. Der Datensatz wird \u00fcber je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt.     ---      The compliant INSPIRE data set contains data about the type of pedogenesis of the concept pedological map (KBK) in the State of Brandenburg from the LBGR, assigned to the INSPIRE target schema Soil. The data set contains information on the soil systematic unit at type level (soil type) in accordance with the Bodenkundliche Kartieranleitung. The soil classification is based on a morphogenetic principle, focusing on the profile structure of a soil and its horizon formation and horizon sequence determined by soil development. The data set is provided via compliant view and download services.", "formats": [{"name": "WCS_SRVC"}], "keywords": ["boden", "bodenart", "bodendaten", "bodenform", "bodengeologie", "bodengesellschaft", "bodenkarte", "bodenkunde", "bodenscha\u0308tzung", "bodensystematische-einheit", "bodentyp", "brandenburg", "de", "geologie", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "konzeptbodenkarte", "konzeptkarte", "opendata", "organisch", "process", "regional", "soil", "soillayer", "soiltexturegroup", "substratsystematische-einheit", "terrestrisch"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://inspire.brandenburg.de/services/so_kbk_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "https://inspire.brandenburg.de/services/so_kbk_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/c4a3ee01-8ab6-490b-8d8e-71dcb16571fd"}, {"rel": "self", "type": "application/geo+json", "title": "c4a3ee01-8ab6-490b-8d8e-71dcb16571fd", "name": "item", "description": "c4a3ee01-8ab6-490b-8d8e-71dcb16571fd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c4a3ee01-8ab6-490b-8d8e-71dcb16571fd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "c6ad8435-fa83-4e3e-89d5-6ac4e270bb1e", "type": "Feature", "geometry": null, "properties": {"updated": "2025-08-21T11:56:42", "type": "Dataset", "language": "de", "title": "Mean thermal conductivity Brandenburg", "description": "These maps are based on the legend units of the ground overview map (B\u00dcK300) with Corresponding assignment of parameterized surface soil shapes. These represent a soil-forming society per unit of legend. The individual surface soil forms (FBF) were determined with soil physical characteristics, which were determined by terrain and laboratory tests. For the same horizon-substrate combinations (HSK), the characteristics soil type dry density, total pore volume, water content at field capacity (FK) and permanent wilting point (PWP), humus content were statistically derived (usually median values). The thermal conductivity (\u03bb) determines the property of the soil, thermal energy by transporting the conduction. It is the decisive parameter for the use of the soil as a heat source and storage and must be taken into account, among other things, in the application of near-surface geothermal energy (earth heat collectors) or in the construction of underground power cables. To calculate the thermal conductivity, the pedotransfer function (PTF) according to Markert et al. (2017) taking into account the above characteristics. This PTF is based on extensive thermal conductivity measurements for a wide range of soils found in Brandenburg. For each HSK, the thermal conductivity for the water contents at FK and PWP has been calculated to a depth of 2m. For HSK in the area of influence of groundwater (Gr horizons), the thermal conductivity for full water saturation was estimated. Due to the parameterization of the PTF for exclusively mineral soils, the following adjustments were made: for organic HSK (peat), a thermal conductivity of \u03bbFK = 0.4 W/m*K and \u03bbPWP = 0.2 W/m*K was calculated (see measured values of Markert et al. 2017; VKR 1.32 AG Soil 2010), the parameters of the loamy soils have been used for clay soils due to the low data situation, the humus content has been taken into account by \u03bbhumos = \u03bbmineral \u2013 humus content*0.05. Due to insufficient measured values and missing information in the literature, no calculation of thermal conductivity was possible for HSK with anthropogenic starting rock. In this case, the thermal conductivity per surface soil shape has been determined as a weighted harmonic mean taking into account the thickness of all horizons. For better clarity and interpretability of the results, the weighted harmonic mean values of the thermal conductivity were divided into the following 6 classes: Thermal conductivity [W/m*K] extremely low \u2264 0.4 very low 0.41 - 0.90 Low 0.91 - 1.40 medium 1.41 - 1.90 high 1.91 - 2.40 very high 2.41 - 2.90 For the graphical representation as a map, the surface soil shapes with the same thermal conductivity class were summarized per unit of legend (LE), the area fractions of which were added per LE according to Table 66 (AG Boden 2005) and shown as an aggregated dominant and an aggregated subdominant \u03bb-FBF. For a few areas with a very heterogeneous composition of the surface soil forms, three \u03bb-FBF are given.", "formats": [{"name": "Download"}], "keywords": ["High value dataset", "boden", "bodenkunde", "de", "erdbeobachtung-und-umwelt", "geothermie", "opendata", "ressource"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden-Grundkarten"}, {"href": "https://inspire.brandenburg.de/services/bogeothermie_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://inspire.brandenburg.de/services/bogeothermie_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "https://ogc-api.geobasis-bb.de/datasets/bogeothermie"}, {"href": "http://data.europa.eu/88u/dataset/c6ad8435-fa83-4e3e-89d5-6ac4e270bb1e~~1"}, {"rel": "self", "type": "application/geo+json", "title": "c6ad8435-fa83-4e3e-89d5-6ac4e270bb1e", "name": "item", "description": "c6ad8435-fa83-4e3e-89d5-6ac4e270bb1e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c6ad8435-fa83-4e3e-89d5-6ac4e270bb1e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "f3ff636e-ef22-40a3-9a25-1779d864ecf8", "type": "Feature", "geometry": null, "properties": {"updated": "2025-05-27T00:00:00Z", "type": "Dataset", "language": "de", "title": "Soils worthy of protection in Lower Saxony 1 : 50 000 - Soils with high natural soil fertility", "description": "Soils that are particularly worthy of protection include soils that fulfil the natural functions as well as the archiving function to a particular extent. According to soil protection law, impairments of these functions should be avoided (cf. \u00a71 BBodSchG). A key factor in assessing a soil's habitat function is its natural fertility. It characterizes the potential of the soil for the production of biomass. Soils with very high natural soil fertility are considered particularly worthy of protection. They enable land management with low inputs. This in turn contributes to the sustainable safeguarding of the performance of the natural balance. The designated specially protected floors on the basis of the BK50 represent search spaces on a scale. If necessary, these can be differentiated in more detail within the framework of large-scale mapping. The methods for determining the protection of soils in Lower Saxony are described in detail in Geoberichte 8 (Bug et al. 2019) is described. The evaluations are based on the soil map of Lower Saxony 1 : 50 000 (BK50). These are soils with a high to extremely high soil fertility in a national comparison (levels 5-7). In order to meet the different landscapes of Lower Saxony, the analysis is differentiated according to soil regions (cf. georeports 8). The evaluation is carried out using the NIBIS\u00ae evaluation method \u2018soil fertility\u2019 (cf. georeports 19). It determines soil fertility on the basis of the soil water balance and the nutrient supply of a site. The assessment is differentiated for arable, grassland and forest soils over the different effective root space of the vegetation. Soils with a regionally high fertility, but which have only a medium fertility in a national comparison, can only be covered to a limited extent with this approach. For regional or municipal considerations, Geoberichte 26 offers an adapted methodology.", "formats": [{"name": "TIFF"}], "keywords": ["boden", "de", "inspireidentifiziert", "nibis-metadaten", "opendata", "regional", "sgd_boden"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Energie und Geologie (LBEG)", "roles": ["creator"]}]}, "links": [{"href": "https://nibis.lbeg.de/net3/public/ogc.ashx?NodeId=1009&Service=WFS&Request=GetCapabilities&"}, {"href": "http://data.europa.eu/88u/dataset/f3ff636e-ef22-40a3-9a25-1779d864ecf8~~1"}, {"rel": "self", "type": "application/geo+json", "title": "f3ff636e-ef22-40a3-9a25-1779d864ecf8", "name": "item", "description": "f3ff636e-ef22-40a3-9a25-1779d864ecf8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f3ff636e-ef22-40a3-9a25-1779d864ecf8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "f916fd97-f1e4-4516-a95c-7e9af9f98521", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T10:10:04", "type": "Dataset", "language": "de", "title": "WMS Bodenkarten BB (WMS-BOKARTEN)", "description": "Der Darstellungsdienst (WMS) Bodenkarten Brandenburg stellt Daten zu den folgenden drei Kartenwerken bereit: Bodengeologische Karte (BK 50), Bodengeologische \u00dcbersichtskarte (B\u00dcK 300) und Mittelma\u00dfst\u00e4bige landwirtschaftliche Standortkartierung (MMK). Die dargestellten Inhalte der B\u00dcK 300 wurden f\u00fcr den Ma\u00dfstab 1 : 300.000 erstellt und sind f\u00fcr Darstellungen in Ma\u00dfst\u00e4ben gr\u00f6\u00dfer 1 : 50.000 nicht geeignet. Die dargestellten Inhalte der MMK wurden f\u00fcr den Ma\u00dfstab 1 : 100.000 erstellt und sind f\u00fcr Darstellungen in Ma\u00dfst\u00e4ben gr\u00f6\u00dfer 1 : 100.000 nicht geeignet. BK 50: Das Blatt Potsdam (L3744) stellt das erste Blatt der gro\u00dfma\u00dfst\u00e4bigen Bodengeologischen Karte (BK50) im Ma\u00dfstab 1:50.000 f\u00fcr das Land Brandenburg dar. Das Kartenwerk wird in dieser Form jedoch nicht weiterentwickelt sondern methodisch von der Entwicklung der Konzeptbodenkarten (KBK) abgel\u00f6st. B\u00dcK 300: Die Bodengeologische \u00dcbersichtskarte ist das erste nutzungsunabh\u00e4ngige bodengeologische Kartenwerk, das fl\u00e4chendeckend f\u00fcr Brandenburg vorliegt. Die Karte liefert einen \u00dcberblick \u00fcber wesentliche B\u00f6den und ist mit ihren Auswertungen Grundlage f\u00fcr konkrete Aufgaben wie z. B. die Landes-, Bodenschutz- oder Raumplanung auf Landesebene. Die Legende ist nach Substratmerkmalen gegliedert und besteht aus 99 Einheiten, in denen die Leitbodenformengesellschaften dargestellt werden. Die sie kennzeichnenden Fl\u00e4chenbodenformen wurden mit chemischen und physikalischen Parametern belegt, die in einem Fl\u00e4chenbodenformenarchiv abgelegt sind. In einem zus\u00e4tzlichen Layer werden ausgew\u00e4hlte Profilaufnahmepunkten dargestellt, die jeweils mit einem Link zu einer detaillierten Profilbeschreibung verkn\u00fcpft sind. So wird es m\u00f6glich, mit verschiedenen Auswertemethoden auf die Daten der digitalen Karte zuzugreifen. MMK: Die Mittelma\u00dfst\u00e4bige landwirtschaftliche Standortkartierung wurde in den Jahren 1974 bis 1981 unter Leitung des Bereiches Bodenkunde Eberswalde des Forschungszentrums f\u00fcr Bodenfruchtbarkeit der damaligen Akademie der Landwirtschaftswissenschaften erarbeitet und stellt heute noch eine wichtige Informationsgrundlage f\u00fcr verschiedenste Fragestellungen dar. Der heutige Wert dieses Kartenwerkes liegt einerseits in seiner Aussagef\u00e4higkeit f\u00fcr bestimmte Ma\u00dfst\u00e4be und andererseits an dem Umstand, dass ein nach neueren Nomenklaturen erarbeitetes Kartenwerk in einem vergleichbaren bzw. gr\u00f6\u00dferen Ma\u00dfstab f\u00fcr die landwirtschaftliche Nutzfl\u00e4che erst in Bearbeitung ist.     Der WMS beinhaltet die folgenden Layer:      - Grundkarte der B\u00dcK 300 [grundk_buek300],     - Profilaufnahmepunkte [profilaufnahmepkt_buek300],     - Mittelma\u00dfst\u00e4bige landwirtschaftliche Standortkartierung (MMK) [mmk],     - Bodengeologische Karte (BK 50) [bk50].", "formats": [{"name": "HTML"}], "keywords": ["bboxbebb", "bk-50", "boden", "bodengeologie", "bodengeologische-karte", "bodengeologische-u\u0308bersichtskarte", "bodenkarte", "bodenkartierung", "bodenkunde", "bu\u0308k-300", "de", "geologie", "kartenwerk", "landwirtschaft", "mittelma\u00dfsta\u0308bige-landwirtschaftliche-standortkartierung", "mmk", "opendata", "sgd_boden", "wms"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3Df916fd97-f1e4-4516-a95c-7e9af9f98521"}, {"href": "https://inspire.brandenburg.de/services/bokarten_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/f916fd97-f1e4-4516-a95c-7e9af9f98521~~1"}, {"rel": "self", "type": "application/geo+json", "title": "f916fd97-f1e4-4516-a95c-7e9af9f98521", "name": "item", "description": "f916fd97-f1e4-4516-a95c-7e9af9f98521", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f916fd97-f1e4-4516-a95c-7e9af9f98521"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "f9254b4c-044f-45a1-be03-4875f9d6f7eb~~1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:34:10Z", "type": "Dataset", "title": "INSPIRE-WCS Geology / Reflexionsseismische Horizonte 2D BB: Fl\u00e4chen", "description": "Der interoperable INSPIRE-WCS ist ein Downloaddienst, der Daten im Annex-Schema Geology (abgeleitet aus dem origin\u00e4ren Datensatz: Reflexionssesimische Horizonte 2D Brandenburg) bereitstellt. Die Horizonte entsprechen einer Ableitung aus dem 3D-Untergrundmodell Brandenburgs (B3D) in Form eines 2D-Datensatzes. Das 3D-Modell B3D stellt den Untergrund Brandenburgs in Form ausgew\u00e4hlter reflexionsseismischer Horizonte bis in eine Tiefe von ca. 7000 m dar.   Informationen zum Download der linienhaften Ableitungen (St\u00f6rungszonen/Ausbissgrenzen und Konturlinien) finden Sie unter dem INSPIRE-WFS Geology / Reflexionsseismische Horizonte 2D BB: Linien https://inspire.brandenburg.de/services/ge-core_seismikhorizonte_l_wfs?request=GetCapabilities&service=WFS.  Gem\u00e4\u00df der INSPIRE-Datenspezifikation Geology (D2.8.II.4) liegen die Inhalte INSPIRE-konform vor.  Der WCS beinhaltet die folgenden Layer: GE.TransgressionSurfaceCenozoic (T1 - horizon), GE.TransgressionAreaMiddleAlbToCenomanian (B2-T2 - horizon), GE.TransgressionAreaUnder-AlbToWealden (T3-T4 - horizon), GE.Intra-OxfordToKimmeridge (E1-E2 - horizon), GE.Intra-Toarc (L1 - horizon), GE.TopUpperGypsumKeuper (K2 - horizon), GE.Intra-MainShellLimestone (M1 - horizon), GE.TopSalinaRed (S1 - horizon), GE.TopZechsteinSalinar (X1 - horizon), GE.SurfaceBasalAnhydriteOfTheSta\u00dffurtFormationInTheZechstein (Z1 - horizon), GE.BasisWerraAnhydrit (Z3 - horizon), GE.BaseUpperRedII (R6 - horizon).  ---  The compliant INSPIRE WCS is a download service that provides data in the annex schema Geology (derived from the original dataset: Reflexionsseismische Horizonte 2D BB). The horizons correspond to a derivation from the 3D subsurface model of Brandenburg (B3D) in the form of a 2D data set. The 3D model B3D represents the subsurface of Brandenburg in the form of selected seismic reflection horizons down to a depth of approx. 7000 m.   Information on downloading the fault zones / outcrop limits and contour lines can be found at INSPIRE-WFS Geology / Reflexionsseismische Horizonte 2D BB: Linien https://inspire.brandenburg.de/services/ge-core_seismikhorizonte_l_wfs?request=GetCapabilities&service=WFS.  The content is compliant to the INSPIRE data specification for the annex theme Geology (D2.8.II.4_v3.3.0).  The WCS contains the following layers: GE.TransgressionSurfaceCenozoic (T1 - horizon), GE.TransgressionAreaMiddleAlbToCenomanian (B2-T2 - horizon), GE.TransgressionAreaUnder-AlbToWealden (T3-T4 - horizon), GE.Intra-OxfordToKimmeridge (E1-E2 - horizon), GE.Intra-Toarc (L1 - horizon), GE.TopUpperGypsumKeuper (K2 - horizon), GE.Intra-MainShellLimestone (M1 - horizon), GE.TopSalinaRed (S1 - horizon), GE.TopZechsteinSalinar (X1 - horizon), GE.SurfaceBasalAnhydriteOfTheSta\u00dffurtFormationInTheZechstein (Z1 - horizon), GE.BasisWerraAnhydrit (Z3 - horizon), GE.BaseUpperRedII (R6 - horizon).", "formats": [{"name": "INSPIRE DOWNLOAD SERVICE"}], "keywords": ["3d-untergrundmodell", "b2d", "b3d", "bboxbebb", "boden", "brandenburg", "de", "geologiccollection", "geologicevent", "geologicunit", "geologie", "geologycore", "horizont", "infocoverageaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "interoperable-daten", "opendata", "reflexionsseismische-horizontkarte", "sheardisplacementstructure", "wcs"], "contacts": [{"organization": "Herr Arvid Markert", "roles": ["creator"]}]}, "links": [{"href": "https://inspire.brandenburg.de/services/ge-core_seismikhorizonte_f_wcs?"}, {"href": "http://data.europa.eu/88u/dataset/f9254b4c-044f-45a1-be03-4875f9d6f7eb~~1"}, {"href": "https://registry.gdi-de.org/id/de.bb.metadata/f9254b4c-044f-45a1-be03-4875f9d6f7eb"}, {"rel": "self", "type": "application/geo+json", "title": "f9254b4c-044f-45a1-be03-4875f9d6f7eb~~1", "name": "item", "description": "f9254b4c-044f-45a1-be03-4875f9d6f7eb~~1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f9254b4c-044f-45a1-be03-4875f9d6f7eb~~1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "PMC6668394", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-23T16:29:47Z", "type": "Journal Article", "created": "2019-07-31", "title": "A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series", "description": "Abstract<p>Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human\uffe2\uff80\uff93environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating long-term global anthropogenic heat flux (AHF) challenging. Thus, using high-resolution population density data (30 arc-second) and a top-down inventory-based approach, this study developed a new global gridded AHF dataset covering 1970\uffe2\uff80\uff932050 based historically on energy consumption data from the British Petroleum (BP); future projections were built on estimated future energy demands. The globally averaged terrestrial AHFs were estimated at 0.05, 0.13, and 0.16\uffe2\uff80\uff89W/m2 in 1970, 2015, and 2050, respectively, but varied greatly among countries and regions. Multiple validation results indicate that the past and future global gridded AHF (PF-AHF) dataset has reasonable accuracy in reflecting AHF at various scales. The PF-AHF dataset has longer time series and finer spatial resolution than previous data and provides powerful support for studying long-term climate change at various scales.</p", "keywords": ["Statistics and Probability", "Data Descriptor", "13. Climate action", "Library and Information Sciences", "Statistics", " Probability and Uncertainty", "01 natural sciences", "7. Clean energy", "Computer Science Applications", "Education", "Information Systems", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41597-019-0143-1.pdf"}, {"href": "https://doi.org/PMC6668394"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC6668394", "name": "item", "description": "PMC6668394", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC6668394"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-31T00:00:00Z"}}, {"id": "02543d0a-f43a-4ab7-886a-c748d714a9e6-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:23Z", "type": "Dataset", "title": "Geochemical soil atlas of Switzerland: Thallium", "description": "Interpolierte Element-Konzentrationen (mg/kg Feinerde) in den Oberb\u00f6den (0\u201320 cm) der Schweiz. F\u00fcr die Ordinary Kriging Interpolationen (1 km x 1 km) wurden Messdaten von insgesamt 1'201 Standorten des Biodiversit\u00e4tsmonitorings Schweiz, der Nationalen Bodenbeobachtung und des europ\u00e4ischen geochemischen Bodenatlas ber\u00fccksichtigt. Die Element-Konzentrationen wurden in K\u00f6nigswasser Aufschl\u00fcssen (HNO\u2083:HCl:H\u2082O) von getrockneten (40\u00b0C), gesiebten (< 2 mm) und anschliessend gemahlenen Bodenproben mittels induktiv gekoppelter Plasma Massenspektrometrie analysiert. Standorte mit bekannter anthropogener \u00dcberpr\u00e4gung der Element-Konzentrationen (Punktquellen) wurden vorg\u00e4ngig ausgeschlossen. Bei den Ergebnissen des geochemischen Bodenatlas handelt es sich um eine Momentaufnahme der Element-Konzentrationen in den Oberb\u00f6den der Schweiz (Probenahmezeitraum 2011\u20132015). Die interpolierten Karten dienen der verbesserten Visualisierung von Regionen mit erh\u00f6hten resp. tiefen Konzentrationen. Es k\u00f6nnen daraus jedoch keine parzellenscharfen Informationen oder definitive R\u00fcckschl\u00fcsse auf die Geologie, die Bioverf\u00fcgbarkeit, die prozentualen Verteilung der geogenen und anthropogenen Quellen sowie die Belastung des Bodens abgeleitet werden. Zitat Publikation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. W\u00e4chter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope; Z\u00fcrich, 2023.", "formats": [{"name": "HTML"}], "keywords": ["atlante", "atlas", "bgdi-bundesgeodaten-infrastruktur", "biogeochemie", "biogeochemistry", "biogeochimica", "biogeochimie", "boden", "bodeneigenschaften", "bodenkartierung", "bund", "cartographie-des-sols", "ch", "confederation", "confederazione", "fsdi-federal-spatial-data-infrastructure", "heavy-metal", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "interpolation", "interpolazione", "mappatura-del-suolo", "metal-lourd", "metal-toxique", "metalli-tossici", "metallo-pesante", "proprieta-del-suolo", "proprietes-du-sol", "schwermetall", "soil", "soil-mapping", "soil-properties", "sol", "suolo", "toxic-metal", "toxische-metalle"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.geochemischer-bodenatlas_schweiz_thallium/items/geochemischer-bodenatlas_schweiz_thallium"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.geochemischer-bodenatlas_schweiz_thallium"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.agroscope.admin.ch/agroscope/de/home/themen/umwelt-ressourcen/boden-gewaesser-naehrstoffe/nabo/ergaenzende-untersuchungen/geochemischer-bodenatlas.html"}, {"href": "http://data.europa.eu/88u/dataset/02543d0a-f43a-4ab7-886a-c748d714a9e6-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "02543d0a-f43a-4ab7-886a-c748d714a9e6-bundesamt-fur-umwelt-bafu", "name": "item", "description": "02543d0a-f43a-4ab7-886a-c748d714a9e6-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/02543d0a-f43a-4ab7-886a-c748d714a9e6-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "0007bad6-848d-4763-9813-d5ed21cde6ee", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "microplastics"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Multiple level; Winter wheat; Plant-soil system; Soil properties; Global change factors"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the Rhizo4Bio - \u00b5Plastic's research activities.\" Although every care has been taken in preparing and testing the data, the Rhizo4Bio - \u00b5Plastic and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Rhizo4Bio - \u00b5Plastic and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The Rhizo4Bio - \u00b5Plastic and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-03-19", "type": "Dataset", "created": "2024-02-27", "language": "eng", "title": "Interactive effects of microplastics with other environmental drivers in a plant-soil system", "description": "Our study reveals the effects of GCFs on a soil-crop system: in general, with an increasing number of GCFs, soil properties, and plant biomass reacted negatively. For example, the higher the level of GCFs, the lower the plant biomass and soil water stable aggregation. We also find that MP applied as a single factor had minimal effects on soil properties and crop growth. However, when combined with other individual factors, it significantly altered the effect size, sometimes even causing directional change. Our results revealed that the interaction between MP and other GCFs is not an additive response. Due to the characteristics of MP, the interaction mechanism between heavy metal and MP is obviously different from the response between drought and MP, and their combined effects on the soil-plant system may fundamentally vary Factor interactions are key to understanding and predicting how GCFs influence soil and plants. With an increasing number of GCFs involved, it becomes more and more complicated to predict effects on ecosystems. Our study is among the first to systematically examine how microplastic acts in combination with a range of other important environmental drivers, and thus offers a first step toward understanding these elusive interactive effects.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "microplastics", "opendata", "Multiple level; Winter wheat; Plant-soil system; Soil properties; Global change factors", "Boden"], "contacts": [{"name": "Hongyu Chen", "organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hongyuc92@zedat.fu-berlin.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Matthias. C. Rillig", "organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "rillig@zedat.fu-berlin.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Freie Universit\u00e4t Berlin - Institut f\u00fcr Biologie", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0007bad6-848d-4763-9813-d5ed21cde6ee", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Chen-Experimental photo2-Hongyu Chen.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0007bad6-848d-4763-9813-d5ed21cde6ee", "name": "item", "description": "0007bad6-848d-4763-9813-d5ed21cde6ee", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0007bad6-848d-4763-9813-d5ed21cde6ee"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-19T00:00:00Z"}}, {"id": "00409c85-94da-475c-b58d-4fe9b448895d", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-11T00:00:00Z", "type": "Dataset", "language": "nl", "title": "INSPIRE harmonized - Organic C percentage", "description": "More information about the soil at a particular location is often obtained through observations. This layer contains observations of the organic carbon percentage. There are two types of observations: Single and multiple observations. In the first case, one parameter corresponds to one measured value; in the second case with multiple measurement points and values. A single or multiple observation is always linked to one soil location, one depth interval, one soil site or one soil sample. A soil location, soil site, depth interval or soil sample can have 0 or more observations. There are three different types of single observations: a distinction is made between observations of a numerical value (these are measurements), observations with a free text value (these are observations) and observations that are categorized via a list box (these are coded observations). Each of these simple observations is characterized by one parameter and one measurement value (either numeric, free text, or an item from a drop-down list). Multiple observations are series of measurements \u2013 in this case, one parameter is described by multiple numerical measurements. Observations that are linked to a depth interval or soil sample always apply to the full depth of this depth interval or sample. Observations linked to a soil location or a soil site can have 0, one or two depths for observations independent of depth, observations at a certain depth or in a certain interval, respectively. Observations can optionally be linked to an observation method, which describes the method by which the value was determined, for example by referring to the procedure or standard that was followed.", "formats": [{"name": "KML"}], "keywords": ["High value dataset", "be", "bodem", "bodemanalyse", "bodembiologie", "bodemchemie", "bodemdaling", "bodemdegradatie", "bodemerosie", "bodemfunctie", "bodemgebruik", "bodemgesteldheid", "bodemkaart", "bodemkunde", "bodemkwaliteit", "bodemlaag", "bodemlucht", "bodemobservaties", "bodemorganisme", "bodemproces", "bodemprofiel", "bodemprofielgegevens", "bodemstructuur", "bodemtextuur", "bodemverdichting", "bodemverzuring", "bodemvocht", "bodemvochthuishouding", "bodemvorming", "bodemvruchtbaarheid", "databank-ondergrond-vlaanderen", "departement-omgeving", "doorsijpeling-van-water-in-de-bodem", "dov", "ondergrond", "profielput", "vlaanderen"], "contacts": [{"organization": "Vlaams Planbureau voor Omgeving", "roles": ["creator"]}, {"organization": "https://org.belgif.be/id/CbeEstablishmentUnit/2143719695", "roles": ["publisher"]}]}, "links": [{"href": "https://metadata.vlaanderen.be/srv/dut/catalog.search#/metadata/18d20375-1765-4ef8-aa17-e60235aa704e"}, {"href": "https://www.vlaanderen.be/DataCatalogRecord/18d20375-1765-4ef8-aa17-e60235aa704e"}, {"href": "http://data.europa.eu/88u/dataset/00409c85-94da-475c-b58d-4fe9b448895d"}, {"rel": "self", "type": "application/geo+json", "title": "00409c85-94da-475c-b58d-4fe9b448895d", "name": "item", "description": "00409c85-94da-475c-b58d-4fe9b448895d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/00409c85-94da-475c-b58d-4fe9b448895d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "00fcaa98-fb45-4696-a450-c5dcb1a480d8", "type": "Feature", "geometry": null, "properties": {"updated": "2025-09-02T09:54:15", "type": "Dataset", "language": "de", "title": "INSPIRE-WFS Soil / Sorptionsverm\u00f6gen im effektiven Wurzelraum BB", "description": "Der interoperable INSPIRE-WFS ist ein Downloaddienst, der Daten im Annex-Schema Boden (abgeleitet aus dem origin\u00e4ren Datensatz: Sorptionsverm\u00f6gen im effektiven Wurzelraum Brandenburg) bereitstellt. Er gibt einen \u00dcberblick \u00fcber die Sorptionskapazit\u00e4t im effektiven Wurzelraum der B\u00f6den Brandenburgs. Diese Karte basiert auf den Legendeneinheiten der Boden\u00fcbersichtskarte (B\u00dcK300) mit entsprechender Zuordnung von parametrisierten Fl\u00e4chenbodenformen. Diese stellen je Legendeneinheit eine Bodenformengesellschaft dar. Die einzelnen (Fl\u00e4chen-)Bodenformen wurden mit Parametern belegt, einschlie\u00dflich der entsprechenden Werte zur Kationenaustauschkapazit\u00e4t (KAK), die durch Gel\u00e4nde- und Laboruntersuchungen bestimmt wurden. Gleiche Horizont-Substrat-Kombinationen wurden zusammengefasst und die entsprechenden Parameter statistisch abgeleitet. Die Abfolge von Horizont-Substrat-Kombinationen in den Fl\u00e4chenbodenformen mit ihren KAK-Werten bildeten die Grundlage f\u00fcr die Berechnung des Sorptionskapazit\u00e4t im effektiven Wurzelraum (s. Hennings 2000, Verkn\u00fcpfungsregel 2.3). Gem\u00e4\u00df der INSPIRE-Datenspezifikation Soil (D2.8.III.3_v3.0) liegen die Inhalte der Boden\u00fcbersichtskarte INSPIRE-konform vor. Der WFS beinhaltet die folgenden FeatureTypes:      - Beobachtungsprozess (ompr:Process) mit Angaben zu der am Prozess beteiligten Organisation LBGR,      - abgeleitetes Bodenobjekt (so:SoilDerivedObject) mit Angaben zur Beobachtung der Bodeneigenschaft zur Beschreibung des abgeleiteten Bodenobjekts,     - Beobachtung einer Bodeneigenschaft (om:OM_Observation) mit Angaben zum Charakter des vom Boden abgeleiteten Objekts, der beobachtete Eigenschaft, der vom Boden abgeleiteten Beobachtung bodenbezogene Eigenschaften, dem Ergebnis der Beobachtungen des abgeleiteten Bodenobjekts,      - Bodenk\u00f6rper (so:SoilBody), abgegrenzter und hinsichtlich bestimmter Bodeneigenschaften und/oder r\u00e4umlicher Muster homogener Teil der Bodendecke, und     - Bodenschicht (so:SoilLayer) mit Angaben zur Zuordnung der Schicht zu einem ihrer Art entsprechenden Begriff, zum abgeleiteten Profil, das als Referenzprofil f\u00fcr eine bestimmte Art von Boden in einem bestimmten geografischen Gebiet dient, der oberen und unteren Tiefe des Profilelements, gemessen von der Oberfl\u00e4che (0 cm) eines Bodenprofils (in cm).     ---      The compliant INSPIRE-WFS Soil / Sorptionsverm\u00f6gen im effektiven Wurzelraum Brandenburg is a download service that delivers data in the annex schema Soil (derived from the original data set: Adsorption capacity in the effective root zone Brandenburg). It provides an overview of the adsorption capacity in the effective root zone of the soils in Brandenburg. The map is based on the legend units of the soil map (B\u00dcK300) with corresponding assignment of parameterized soil forms. These represent one soil form society per legend unit. The single soil forms were assigned with parameters, including the corresponding values for cation exchange capacity (CEC), which were determined by field and laboratory investigations. Identical horizon-substrate combinations were summarized and the corresponding parameters were statistically derived. The sequence of horizon-substrate combinations in the soil forms with their CEC values formed the basis for the calculation of the sorption capacity in the effective root zone (see Hennings 2000, method 2.3). The content of the soil map is compliant to the INSPIRE data specification for the annex theme Soil (D2.8.III.3_v3.0). The WFS includes the following feature types:      - Observation process (ompr:Process) with information about the organization LBGR involved in the process,     - Soil derived object (so:SoilDerivedObject) with information on the observation of the soil property for characterizing the soil derived object,     - Observations of a soil derived object (om:OM_Observation) with information about the character of the soil derived object, the observed property, the soil derived observation of soil related properties, the result of the observations of the soil derived object,      - Soil body (so:SoilBody), part of the soil cover that is delineated and that is homogeneous with regard to certain soil properties and/or spatial patterns, and     - Soil layer (so:SoilLayer) with information about the assignation of the layer according to the concept that fits its kind, to the derived soil profile, which serves as a reference profile for a particular type of soil in a specific geographical area, including the upper and lower depth of the profile element from the surface (0 cm) of a soil profile (in cm).", "formats": [{"name": "HTML"}], "keywords": ["bboxbebb", "boden", "bodenkunde", "bodenschutz", "brandenburg", "cation-exchange-capacity", "de", "depthinterval", "derivedsoilprofile", "geologie", "infofeatureaccessservice", "inspireidentifiziert", "interoperabel", "interoperability", "kationenaustauschkapazita\u0308t", "oberboden", "om_observation", "opendata", "process", "soil", "soilbody", "soilderivedobject", "soillayer", "sorptioncapacityinrootzonedepth", "sorptioncapacityinrootzonedepthwithorganicsurfacelayer", "sorptionsvermo\u0308gen", "sorptionsvermo\u0308gen-im-effektiven-wurzelraum-brandenburg", "wfs"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geoportal.brandenburg.de/detailansichtdienst/render?view=gdibb&url=https%3A%2F%2Fgeoportal.brandenburg.de%2Fgs-json%2Fxml%3Ffileid%3D00fcaa98-fb45-4696-a450-c5dcb1a480d8"}, {"href": "https://inspire.brandenburg.de/services/so_sorption_wfs?REQUEST=GetCapabilities&SERVICE=WFS"}, {"href": "https://isk.geobasis-bb.de/geodienste/Sonstiges/Hilfe_Nutzung_Downloaddienst.pdf"}, {"href": "http://data.europa.eu/88u/dataset/00fcaa98-fb45-4696-a450-c5dcb1a480d8~~1"}, {"rel": "self", "type": "application/geo+json", "title": "00fcaa98-fb45-4696-a450-c5dcb1a480d8", "name": "item", "description": "00fcaa98-fb45-4696-a450-c5dcb1a480d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/00fcaa98-fb45-4696-a450-c5dcb1a480d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "00682004-c6b9-4c1d-8b40-3afff8bbec69", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.16, 47.52], [11.16, 47.52], [11.16, 47.52], [11.16, 47.52], [11.16, 47.52]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "environmental factors"}, {"id": "water"}, {"id": "Soil analysis"}, {"id": "Soil"}, {"id": "soil amendments"}, {"id": "Soil biology"}, {"id": "Temperature profile"}, {"id": "moisture content"}, {"id": "Temperature"}, {"id": "Soil temperature"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "soil profile"}, {"id": "soil moisture"}, {"id": "temperature"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "farming systems"}, {"id": "Grassland management"}, {"id": "Grassland soils"}, {"id": "grasslands"}, {"id": "permanent grasslands"}, {"id": "agriculture"}, {"id": "agricultural practices"}, {"id": "Climatic change"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. (e.g. Reports, articles, papers, scientific and non-scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \u201cData re-used from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - SUSALPS's research activities.\u201d Although every care has been taken in preparing and testing the data, BonaRes Module A-Project- SUSALPS and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A-Project-SUSALPS and BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project-SUSALPS and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner/author.)", "updated": "2020-02-14", "type": "Dataset", "created": "2018-12-05", "language": "eng", "title": "SUSALPS temperature and volumetric soil water content Esterberg Subplot 3 in Esterberg intensiv", "description": "Grassland is a precious good. Grassland contributes to food security by providing fodder for dairy and beef farming, storing nutrients and increasing biodiversity. These functions that secure the fertility and yields of soil are jeopardized by climate change, especially in monane and alpine areas.\nIn SUSALPS, scientists, authorities and farmers work together to investigate the influence of climate change on i) plant biodiversity, ii) C and N storage, iii) greenhouse gas exchange, iv) socio economic conditions that influence decision making of farmers.\nA central experimental aspect is the translocation of soil mesocosms from higher elevation to lower elevation (Esterberg site at 1200m, Graswang site at 860m, Fendt at 600m, Bayreuth at 300m). To reflect the spatial heterogeneity of soils, mesocosms from three different subplots approx. 100-300m apart from each other are translocated. Since temperatures are higher and precipitation is lower in lower elevation, the translocated mesocosms experience climate change.\nThis dataset contains daily average soil temperature and volumetric soil water content in 5 and 15 cm depth.\nTreatment: Esterberg Subplot 3 in Esterberg intensiv\nDevice: Decagon 5TM\nTimescale: Daily average\nDepths: 5 and 15 cm", "formats": [{"name": "CSV"}], "keywords": ["environmental factors", "water", "Soil analysis", "Soil", "soil amendments", "Soil biology", "Temperature profile", "moisture content", "Temperature", "Soil temperature", "soil profile", "soil moisture", "temperature", "farming systems", "Grassland management", "Grassland soils", "grasslands", "permanent grasslands", "agriculture", "agricultural practices", "Climatic change", "Boden", "opendata"], "contacts": [{"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": "Garmisch-Partenkirchen", "administrativeArea": null, "postalCode": "82467", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Kiese, Ralf", "organization": "Karlsruhe Institute of Technology (KIT)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "ralf.kiese@kit.edu"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Karlsruhe Institute of Technology (KIT)", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=00682004-c6b9-4c1d-8b40-3afff8bbec69", "rel": "download"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/217290dd-a23f-4734-96d5-71b878a2fca8", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "00682004-c6b9-4c1d-8b40-3afff8bbec69", "name": "item", "description": "00682004-c6b9-4c1d-8b40-3afff8bbec69", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/00682004-c6b9-4c1d-8b40-3afff8bbec69"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2016-08-11T00:00:00Z", "2018-10-09T00:00:00Z"]}}, {"id": "5f474931-ece5-47c1-a000-d18a368fd22f", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.11, 55.34], [11.11, 69.04], [24.16, 69.04], [24.16, 55.34], [11.11, 55.34]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Inspire"}, {"id": "\u00d6ppna data"}], "scheme": "https://resources.geodata.se/codelist/metadata/initiativ.xml"}, {"concepts": [{"id": "Agricultural facilities receiving sludge (Sewage Sludge Directive)"}, {"id": "Agricultural sites where sludge is deposited (Sewage Sludge Directive)"}, {"id": "Directive 86/278/EEC"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/PriorityDataset"}, {"concepts": [{"id": "Nationell"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "Mark"}, {"id": "Jordbruks- och vattenbruksanl\u00e4ggningar"}], "scheme": "http://www.eionet.europa.eu/gemet/inspire_themes"}], "license": "Inga begr\u00e4nsningar f\u00f6r allm\u00e4nhetens tillg\u00e5ng", "updated": "2024-10-01T07:15:35.044Z", "type": "Dataset", "language": "swe", "title": "Sewage sludge on agricultural land", "description": "Avloppsslam inneh\u00e5ller fosfor och kv\u00e4ve som kan \u00e5teranv\u00e4ndas som g\u00f6dsel i jordbruksverksamhet. Avloppsslam inneh\u00e5ller dock ocks\u00e5 f\u00f6roreningar, som tungmetaller. Anv\u00e4ndning av avloppsslam p\u00e5 jordbruksmark regleras av EU:s slamdirektiv (86/278/EEG) samt SNFS 1994:2 och 20 \u00a7 i SFS 1998:944. \n\nSverige beh\u00f6ver rapportera till EU om hur dessa regler efterlevs. Rapporteringskraven har varierat. Fr\u00e5n och med h\u00f6sten 2023 beh\u00f6ver Sverige \u00e5rligen sammanst\u00e4lla och tillg\u00e4ngligg\u00f6ra uppgifter \u00f6ver hur mycket avloppsslam som f\u00f6reg\u00e5ende \u00e5r producerades i landet, hur mycket av detta avloppsslam som anv\u00e4ndes som g\u00f6dsel p\u00e5 jordbruksmark, genomsnittliga halter av vissa tungmetaller i avloppsslammet som anv\u00e4ndes p\u00e5 jordbruksmark, samt platserna d\u00e4r avloppsslammet anv\u00e4ndes p\u00e5 jordbruksmark.\n\nDenna datam\u00e4ngd inneh\u00e5ller uppgifter om de platser d\u00e4r avloppsslam anv\u00e4ndes p\u00e5 svensk jordbruksmark under f\u00f6reg\u00e5ende kalender\u00e5r, 2023. De \u00f6vriga uppgifterna publiceras p\u00e5 Naturv\u00e5rdsverkets hemsida, se l\u00e4nk under resurser.\n\nDatam\u00e4ngden 2023 \u00e4r generaliserad till ytenheter p\u00e5 10 km2 samt omfattar endast REVAQ-certifierat (SPCR 167) avloppsslam", "formats": [{"name": "GML 3.1"}, {"name": "HTTP:OGC:WMS"}, {"name": "HTTP:Nedladdning:Atom"}, {"name": "HTTP:Information"}, {"name": "HTTP:Nedladdning"}], "keywords": ["Inspire", "\u00d6ppna data", "Agricultural facilities receiving sludge (Sewage Sludge Directive)", "Agricultural sites where sludge is deposited (Sewage Sludge Directive)", "Directive 86/278/EEC", "Nationell", "Mark", "Jordbruks- och vattenbruksanl\u00e4ggningar"], "contacts": [{"name": "Naturv\u00e5rdsverket", "organization": "Naturv\u00e5rdsverket", "position": null, "roles": ["owner"], "phones": [{"value": null}], "emails": [{"value": "data@naturvardsverket.se"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}]}, "links": [{"href": "https://geodata.naturvardsverket.se/inspire/af/ows?", "name": "Avloppsslam p\u00e5 jordbruksmark, visningstj\u00e4nst", "description": "Slamdata, visningstj\u00e4nst", "protocol": "HTTP:OGC:WMS", "rel": null}, {"href": "https://geodata.naturvardsverket.se/atom/inspire/af/SE_AF_serviceFeed.xml", "name": "Avloppsslam p\u00e5 jordbruksmark, nedladdningstj\u00e4nst", "protocol": "HTTP:Nedladdning:Atom", "rel": null}, {"href": "https://www.naturvardsverket.se/data-och-statistik/avfall/avloppsslam-pa-jordbruksmark/", "name": "Information Naturv\u00e5rdsverket", "protocol": "HTTP:Information", "rel": null}, {"href": "https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A31986L0278", "name": "Information Direktiv", "protocol": "HTTP:Information", "rel": null}, {"href": "https://geodata.naturvardsverket.se/nedladdning/inspire/af/Avloppsslam_pa_jordbruksmark_2022.gpkg", "name": "Nedladdning Geopackage", "protocol": "HTTP:Nedladdning", "rel": null}, {"href": "https://geodata.naturvardsverket.se/inspire/af/ows?", "name": "Avloppsslam p\u00e5 jordbruksmark, visningstj\u00e4nst", "description": "Slamdata, visningstj\u00e4nst", "protocol": "HTTP:OGC:WMS", "rel": null}, {"href": "https://geodata.naturvardsverket.se/atom/inspire/af/SE_AF_serviceFeed.xml", "name": "Avloppsslam p\u00e5 jordbruksmark, nedladdningstj\u00e4nst", "protocol": "HTTP:Nedladdning:Atom", "rel": null}, {"href": "https://www.naturvardsverket.se/data-och-statistik/avfall/avloppsslam-pa-jordbruksmark/", "name": "Information Naturv\u00e5rdsverket", "protocol": "HTTP:Information", "rel": null}, {"href": "https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex%3A31986L0278", "name": "Information Direktiv", "protocol": "HTTP:Information", "rel": null}, {"href": "https://geodata.naturvardsverket.se/nedladdning/inspire/af/Avloppsslam_pa_jordbruksmark_2022.gpkg", "name": "Nedladdning Geopackage", "protocol": "HTTP:Nedladdning", "rel": null}, {"rel": "self", "type": "application/geo+json", "title": "5f474931-ece5-47c1-a000-d18a368fd22f", "name": "item", "description": "5f474931-ece5-47c1-a000-d18a368fd22f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5f474931-ece5-47c1-a000-d18a368fd22f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2024-10-01T07:15:35Z"}}, {"id": "0106e9c8-14eb-4483-82c7-3b2cdecdeeeb", "type": "Feature", "geometry": null, "properties": {"updated": "2025-08-21T12:03:51", "type": "Dataset", "language": "de", "title": "Potentieller Bodenfeuchteindex BB", "description": "Der Datensatz beinhaltet Daten vom LBGR \u00fcber den Bodenfeuchteindex und wird \u00fcber je einen Darstellungs- und Downloaddienst bereitgestellt. Der Bodenfeuchteindex stellt ein dimensionsloses Ma\u00df f\u00fcr die potenziellen, reliefbedingten Feuchteverh\u00e4ltnisse des Bodens dar. Er quantifiziert die potenzielle Wasserabflussmenge in Abh\u00e4ngigkeit von der Einzugsgebietsgr\u00f6\u00dfe (potentieller Abfluss) und der Neigung (Verweildauer des abflie\u00dfenden Wassers).", "formats": [{"name": "Download"}], "keywords": ["High value dataset", "boden", "bodenkunde", "de", "erdbeobachtung-und-umwelt", "opendata"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden---Geomorphographie"}, {"href": "https://inspire.brandenburg.de/services/gmk_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "https://inspire.brandenburg.de/services/gmk_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "https://ogc-api.geobasis-bb.de/datasets/gmk"}, {"href": "http://data.europa.eu/88u/dataset/0106e9c8-14eb-4483-82c7-3b2cdecdeeeb~~2"}, {"rel": "self", "type": "application/geo+json", "title": "0106e9c8-14eb-4483-82c7-3b2cdecdeeeb", "name": "item", "description": "0106e9c8-14eb-4483-82c7-3b2cdecdeeeb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0106e9c8-14eb-4483-82c7-3b2cdecdeeeb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "01226dbf-390b-4789-be7b-99c5d982bb80", "type": "Feature", "geometry": null, "properties": {"updated": "2025-08-21T09:26:57", "type": "Dataset", "language": "de", "title": "Wind erosion hazard - hazard levels Wind erosion", "description": "The wind erosion hazard data set shows the spatial distribution of the potential soil erosion hazard from wind on Brandenburg's agricultural land. The determination was based on DIN19706 (https://dx.doi.org/10.31030/1934215) and Funk et al. 2023 (https://dx.doi.org/10.1016/j.aeolia.2023.100878) and is presented in a spatial resolution of 2x2 meters. The potential erosion hazard results from the combination of erosion of the topsoil, erosivity of the wind and protective effect of wind hazards. The hazard is indicated in six levels from 0 (no hazard) to 5 (very high hazard).", "formats": [{"name": "HTML"}], "keywords": ["High value dataset", "boden", "bodenkunde", "bodenschutz", "de", "erdbeobachtung-und-umwelt", "opendata"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden---Auswertungen"}, {"href": "https://inspire.brandenburg.de/services/boerosion_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "http://data.europa.eu/88u/dataset/01226dbf-390b-4789-be7b-99c5d982bb80~~1"}, {"rel": "self", "type": "application/geo+json", "title": "01226dbf-390b-4789-be7b-99c5d982bb80", "name": "item", "description": "01226dbf-390b-4789-be7b-99c5d982bb80", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/01226dbf-390b-4789-be7b-99c5d982bb80"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "01620A62-08B5-48E4-B471-02BC4B0B5747", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:23Z", "type": "Dataset", "language": "de", "title": "Soil Map of Germany 1:200,000 (BUEK200) - CC6302 Trier", "description": "The soil map 1:200,000 (BUEK200) is prepared by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the National Geological Surveys (SGD) of the federal states in the sheet line system of the Topographic Map 1:200,000 (TUEK200) and is published in 55 individual map sheets. The digital data management provides a detailed, nationwide uniform and comprehensive information base for statements on land use and soil protection across the states. Information about the current state of processing can be found on the BGR website about soil. The soil inventories and their spatial distribution on the territory of this map sheet is described in terms of 95 legend units structured by soil regions and landscapes. Each legend unit contains soil systematic information as well as information about the soil parent material of each dominant and associated soil. Last dataset update on January 23, 2012.", "formats": [{"name": "PDF"}], "keywords": ["bodenausgangsgestein", "bodenform", "bodengesellschaft", "bodeninformationssystem", "bodenprofil", "bodensubstrat", "bodensystematik", "bodentyp", "de", "fachinformationssystem", "nordrhein-westfalen", "opendata", "rheinland-pfalz", "saarland", "soil", "trier"], "contacts": [{"organization": "Krug, Dietmar", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/6302/jpg/buek200_6302.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/6302/pdf/buek200_6302.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/6302/png/buek200_6302.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/6302/shp/buek200_6302.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/6302/tiff/buek200_6302.zip"}, {"href": "http://data.europa.eu/88u/dataset/c0c43f3a-4976-4851-a776-5156a94654d5~~1"}, {"rel": "self", "type": "application/geo+json", "title": "01620A62-08B5-48E4-B471-02BC4B0B5747", "name": "item", "description": "01620A62-08B5-48E4-B471-02BC4B0B5747", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/01620A62-08B5-48E4-B471-02BC4B0B5747"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "01864187-9c89-45e1-8a4a-dde3f853e982", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[8.09, 54.56], [8.09, 57.75], [15.15, 57.75], [15.15, 54.56], [8.09, 54.56]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Jord"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "National"}], "scheme": "Spatial scope"}], "license": "Ingen restriktioner", "updated": "2024-10-16T12:17:47.5062094Z", "type": "Dataset", "created": "1900-01-01", "language": "dan", "title": "Phosphorus mapping of arable land and water bodies in Denmark", "description": "Tab af fosfor (P) til vandmilj\u00f8et med en r\u00e6kke transportveje er opgjort p\u00e5 grundlag af en omfattende indsamling af nye data suppleret af eksisterende data og udvikling af en r\u00e6kke modeller. Der er lavet et samlet kortv\u00e6rk, der viser risikoomr\u00e5der for fosfortab til overfladevand. 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Sie geben eine landesweite \u00dcbersicht zur Verbreitung und Verteilung der Moorb\u00f6den und weiterer kohlenstoffreicher B\u00f6den. Sie beschreibt die Bodentypen Hoch- und Niedermoor, Moorgley, Organomarsch mit Niedermoorauflage, Moor-Treposole (Sandmischkulturen Niedermoorsandeckkulturen, Baggerkuhlungsboden, Spittkulturen), Sanddeckkultur sowie B\u00f6den mit m\u00e4chtig und flach \u00fcberlagerten Torfen. Die Bodenkarte BK50 beschreibt die Verbreitung der B\u00f6den von Niedersachsen in einem Ma\u00dfstab von 1 : 50.000 nach neustem Stand der beim LBEG vorliegenden Bodeninformationen. Die Bodenkarte weist f\u00fcr ihren Ma\u00dfstab eine relativ hohe r\u00e4umliche Differenzierung der Bodentypen auf und ber\u00fccksichtigt die zum Zeitpunkt der Erstellung aktuellsten Kenntnisse \u00fcber die Verbreitung der Moore unter Einbeziehung der Vererdungsstufen und Moorfolgeb\u00f6den sowie von Kulturb\u00f6den wie z. B. Tiefumbr\u00fcchen, Plaggeneschen, Spittkulturb\u00f6den, Marschhufenb\u00f6den.  Moorb\u00f6den sind besonders dynamisch und ver\u00e4ndern sich schnell durch kulturtechnische Ma\u00dfnahmen. Durch Entw\u00e4sserung entsteht ein aerober Bereich im Torfk\u00f6rper, der Prozesse wie Sackung, Torfschrumpfung und -zersetzung in Gang bringt und zu einem Verlust an Torfm\u00e4chtigkeit (Vererdungsprozesse im Moor) f\u00fchrt. Die vorliegende Karte kann diese \u00c4nderungen nur zeitlich verz\u00f6gert abbilden.  Es wird darauf hingewiesen, dass es sich bei der Karte um eine \u00dcbersichtsdarstellung handelt. Sie kann dazu dienen, sich einen \u00dcberblick \u00fcber die kohlenstoffreichen B\u00f6den Niedersachsens zu verschaffen oder auch Suchr\u00e4ume auszuweisen. 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The map shows the potential qualitative erosion risk. The overall rating is allocated to one of three risk levels (no risk; risk; high risk) without taking account of soil use or management method. 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Die Auswertung basiert auf mehr als 9000 Bodenprofilen, zu denen qualit\u00e4tsgesicherte Daten zur organischen Substanz aus einem zwanzigj\u00e4hrigen Zeitraum vorlagen. Das methodische Vorgehen ist in dem Bericht 'Gehalte an organischer Substanz in Oberb\u00f6den Deutschlands', BGR Archiv, Nr. 0127036 dokumentiert. Die in der Karte dargestellten Klassen entsprechen der Klasseneinteilung in der Bodenkundlichen Kartieranleitung (KA5), wobei die Klassen h2\u2013h5 der KA5 jeweils in der Klassenmitte geteilt wurden. Damit gibt die Karte insbesondere in den Klassen geringer Gehalte ein differenzierteres Bild wider.", "formats": [{"name": "PDF"}], "keywords": ["High value dataset", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenskelett", "bodensystematik", "bodenverbreitung", "bundesrepublik-deutschland", "corg", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "erdbeobachtung-und-umwelt", "fachinformationssystem", "humusgehalt", "inspireidentifiziert", "national", "opendata", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/HUMUS1000OB/jpg/humus1000_ob_v20.zip"}, {"href": "https://download.bgr.de/bgr/Boden/HUMUS1000OB/pdf/humus1000_ob_v20.zip"}, {"href": "https://download.bgr.de/bgr/Boden/HUMUS1000OB/png/humus1000_ob_v20.zip"}, {"href": "https://download.bgr.de/bgr/Boden/HUMUS1000OB/shp/humus1000_ob_v20.zip"}, {"href": "https://download.bgr.de/bgr/Boden/HUMUS1000OB/tiff/humus1000_ob_v20.zip"}, {"href": "http://data.europa.eu/88u/dataset/02f23b5b-5fb8-48ba-adda-7eca7481c4de~~2"}, {"rel": "self", "type": "application/geo+json", "title": "02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE", "name": "item", "description": "02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/02F23B5B-5FB8-48BA-ADDA-7ECA7481C4DE"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "02de5058-3b3b-421f-a1fc-31e3885fadad-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:23Z", "type": "Dataset", "title": "Geochemical soil atlas of Switzerland: Uranium", "description": "Interpolated uranium concentrations (mg/kg fine earth) in the upper soils (0-20 cm) of Switzerland. For the Ordinary Kriging Interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring System, the National Soil Observation System and the European Soil Geochemical Atlas were taken into account. Element concentrations were analyzed in aqua regia outcrop (HNO3:HCl:H2O) from dried (40\u00b0C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic over-embossing of element concentrations (point sources) were excluded in advance. The results of the soil geochemical atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. However, no parcel-sharp information or definitive conclusions on the geology, bioavailability, the percentage distribution of geogenous and anthropogenic sources as well as the load on the soil can be derived from this. Quotation of Publication: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. W\u00e4chter, R. Kretzschmar, R. G. Meuli: Geochemical soil atlas of Switzerland. Agroscope, Zurich, 2023.", "formats": [{"name": "HTML"}], "keywords": ["atlante", "atlas", "bgdi-bundesgeodaten-infrastruktur", "biogeochemie", "biogeochemistry", "biogeochimica", "biogeochimie", "boden", "bodeneigenschaften", "bodenkartierung", "bund", "carico-da-metalli-pesanti", "cartographie-des-sols", "ch", "charge-en-metaux-lourds", "confederation", "confederazione", "fsdi-federal-spatial-data-infrastructure", "heavy-metal-load", "ifdg-infrastruttura-federale-dei-dati-geografici", "ifdg-linfrastructure-federale-de-donnees-geographiques", "interpolation", "interpolazione", "mappatura-del-suolo", "metal-toxique", "metalli-tossici", "proprieta-del-suolo", "proprietes-du-sol", "schwermetallbelastung", "soil", "soil-mapping", "soil-properties", "sol", "suolo", "toxic-metal", "toxische-metalle"], "contacts": [{"organization": "boden@bafu.admin.ch", "roles": ["creator"]}, {"organization": "https://opendata.swiss/organization/bundesamt-fur-umwelt-bafu", "roles": ["publisher"]}]}, "links": [{"href": "https://data.geo.admin.ch/browser/index.html#/collections/ch.bafu.geochemischer-bodenatlas_schweiz_uran/items/geochemischer-bodenatlas_schweiz_uran"}, {"href": "https://map.geo.admin.ch/?layers=ch.bafu.geochemischer-bodenatlas_schweiz_uran"}, {"href": "https://wms.geo.admin.ch/?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetCapabilities&lang=de"}, {"href": "https://wmts.geo.admin.ch/EPSG/3857/1.0.0/WMTSCapabilities.xml?lang=de"}, {"href": "https://www.agroscope.admin.ch/agroscope/de/home/themen/umwelt-ressourcen/boden-gewaesser-naehrstoffe/nabo/ergaenzende-untersuchungen/geochemischer-bodenatlas.html"}, {"href": "http://data.europa.eu/88u/dataset/02de5058-3b3b-421f-a1fc-31e3885fadad-bundesamt-fur-umwelt-bafu"}, {"rel": "self", "type": "application/geo+json", "title": "02de5058-3b3b-421f-a1fc-31e3885fadad-bundesamt-fur-umwelt-bafu", "name": "item", "description": "02de5058-3b3b-421f-a1fc-31e3885fadad-bundesamt-fur-umwelt-bafu", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/02de5058-3b3b-421f-a1fc-31e3885fadad-bundesamt-fur-umwelt-bafu"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "03c3d77e-7126-4d21-813f-2d0efef1c47d", "type": "Feature", "geometry": null, "properties": {"updated": "2025-08-21T10:02:50", "type": "Dataset", "language": "de", "title": "annual leachate rate Brandenburg", "description": "The annual leachate rate (SWR) describes the average amount of leachate in mm/a, estimated by a calculation method (TUB-BGR method), which leaves the soil taking into account the capillary rise downwards. The formed leachate contributes to groundwater regeneration and/or leaves the leachate zone as an intermediate runoff. The leachate rate is a crucial input for water balance calculations or hydrogeological groundwater modelling. It also significantly controls the relocation of harmful substances and nutrients (e.g. Nitrate) in the soil and indirectly influences the site suitability for flora and fauna. Further information can be found here:  http://www.geo.brandenburg.de/ows/htdocs/2021_10_26_Sickerwasserrate_pNAG.pdf", "formats": [{"name": "HTML"}], "keywords": ["High value dataset", "boden", "bodenkunde", "de", "erdbeobachtung-und-umwelt", "grundwasser", "grundwasserschutz", "hydrogeologie", "hydrologie", "opendata", "ressource", "wasser"], "contacts": [{"organization": "Landesamt f\u00fcr Bergbau, Geologie und Rohstoffe Brandenburg (LBGR)", "roles": ["creator"]}]}, "links": [{"href": "https://geo.brandenburg.de/?page=Boden---Auswertungen"}, {"href": "https://inspire.brandenburg.de/services/swrpnag_wcs?REQUEST=GetCapabilities&SERVICE=WCS"}, {"href": "https://inspire.brandenburg.de/services/swrpnag_wms?REQUEST=GetCapabilities&SERVICE=WMS"}, {"href": "http://data.europa.eu/88u/dataset/03c3d77e-7126-4d21-813f-2d0efef1c47d~~1"}, {"rel": "self", "type": "application/geo+json", "title": "03c3d77e-7126-4d21-813f-2d0efef1c47d", "name": "item", "description": "03c3d77e-7126-4d21-813f-2d0efef1c47d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/03c3d77e-7126-4d21-813f-2d0efef1c47d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "04265021-0ACB-4F95-8214-D9FF8A929417", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-23T16:14:24Z", "type": "Dataset", "language": "de", "title": "Soil Map of Germany 1:200,000 (BUEK200) - CC3134 Wittenberge", "description": "The soil map 1:200,000 (BUEK200) is prepared by the Federal Institute for Geosciences and Natural Resources (BGR) in cooperation with the National Geological Surveys (SGD) of the federal states in the sheet line system of the Topographic Map 1:200,000 (TUEK200) and is published in 55 individual map sheets. The digital data management provides a detailed, nationwide uniform and comprehensive information base for statements on land use and soil protection across the states. Information about the current state of processing can be found on the BGR website about soil. The soil inventories and their spatial distribution on the territory of this map sheet is described in terms of 99 legend units structured by soil regions and landscapes. Each legend unit contains soil systematic information as well as information about the soil parent material of each dominant and associated soil.", "formats": [{"name": "PDF"}], "keywords": ["bodenausgangsgestein", "bodenform", "bodengesellschaft", "bodeninformationssystem", "bodenprofil", "bodensubstrat", "bodensystematik", "bodentyp", "brandenburg", "de", "fachinformationssystem", "mecklenburg-vorpommern", "mmk", "niedersachsen", "opendata", "sachsen-anhalt", "soil", "wittenberge"], "contacts": [{"organization": "Krug, Dietmar", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/3134/jpg/buek200_3134.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/3134/pdf/buek200_3134.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/3134/png/buek200_3134.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/3134/shp/buek200_3134.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/3134/tiff/buek200_3134.zip"}, {"href": "http://data.europa.eu/88u/dataset/e8e5ffe4-180f-4c22-831b-3842c28ac4ce~~1"}, {"rel": "self", "type": "application/geo+json", "title": "04265021-0ACB-4F95-8214-D9FF8A929417", "name": "item", "description": "04265021-0ACB-4F95-8214-D9FF8A929417", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/04265021-0ACB-4F95-8214-D9FF8A929417"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "04481ab6-e5ee-4742-a330-88649c17b2ce", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[2.75, 49.45], [2.75, 50.85], [6.5, 50.85], [6.5, 49.45], [2.75, 49.45]]]}, "properties": {"themes": [{"concepts": [{"id": "biota"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Sol et sous-sol"}, {"id": "Nature et environnement"}, {"id": "Agriculture"}], "scheme": "https://metawal.wallonie.be/thesaurus/theme-geoportail-wallon"}, {"concepts": [{"id": "dynamique naturelle"}, {"id": "sol"}, {"id": "biologie"}], "scheme": "http://geonetwork-opensource.org/gemet-theme"}, {"concepts": [{"id": "biologie du sol"}, {"id": "organisme du sol"}, {"id": "carbone organique"}, {"id": "mod\u00e9lisation"}, {"id": "surveillance de l'environnement"}, {"id": "prairie"}, {"id": "qualit\u00e9 du sol"}, {"id": "donn\u00e9es sur l'\u00e9tat de l'environnement"}, {"id": "type de sol"}, {"id": "conservation du sol"}, {"id": "carbone organique total"}, {"id": "sol"}, {"id": "station de surveillance"}, {"id": "cartographie"}, {"id": "mati\u00e8re organique"}, {"id": "carbone"}, {"id": "for\u00eat"}, {"id": "analyse des sols"}, {"id": "cycle du carbone"}, {"id": "cartogramme"}, {"id": "profil du sol"}, {"id": "utilisation du sol"}, {"id": "r\u00e9seau de mesure"}, {"id": "culture"}, {"id": "stockage"}, {"id": "ressources du sol"}, {"id": "sous-sol"}], "scheme": "http://geonetwork-opensource.org/gemet"}, {"concepts": [{"id": "Open Data"}, {"id": "PanierTelechargementGeoportailNO"}, {"id": "Reporting INSPIRE"}, {"id": "WalOnMapNO"}, {"id": "Extraction_DIG"}, {"id": "BDInfraSIG"}], "scheme": "https://metawal.wallonie.be/thesaurus/infrasig"}, {"concepts": [{"id": "Sols"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "R\u00e9gional"}], "scheme": "http://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "2023/138 - High Value Datasets Regulation"}], "scheme": "http://data.europa.eu/r5r/applicableLegislation"}, {"concepts": [{"id": "Observation de la terre et environnement"}], "scheme": "http://data.europa.eu/bna/asd487ae75"}], "updated": "2024-12-11T12:48:19.626322Z", "type": "Dataset", "created": "2024-10-30", "language": "fre", "title": "INSPIRE - CARBIOSOL - Predicted total organic carbon levels - period 2004-2014 in Wallonia (BE)", "description": "Cette couche de donn\u00e9es INSPIRE reprend les teneurs en Carbone Organique Total dans les sols agricoles du territoire wallon pour la p\u00e9riode 2004-2014.\n\nCette donn\u00e9e conforme INSPIRE est issue de la donn\u00e9e source CARBIOSOL - Teneurs pr\u00e9dites en Carbone organique total - p\u00e9riode 2004-2014.\n\nLa qualit\u00e9 d\u2019un sol peut \u00eatre \u00e9valu\u00e9e gr\u00e2ce \u00e0 l\u2019\u00e9tude de divers param\u00e8tres physiques, chimiques ou biologiques. Parmi ces param\u00e8tres, le carbone organique des sols, qui constitue plus de 50% de la masse de la mati\u00e8re organique du sol, est g\u00e9n\u00e9ralement consid\u00e9r\u00e9 comme l'indicateur principal de la qualit\u00e9 des sols, \u00e0 la fois pour ses fonctions agricoles et environnementales.\n\nLa pr\u00e9sente couche de donn\u00e9es constitue la cartographie des teneurs en carbone organique total (COT) pour les sols sous cultures et prairies permanentes en R\u00e9gion wallonne pour une p\u00e9riode comprise entre 2004 et 2014. La couche a \u00e9t\u00e9 cr\u00e9\u00e9e par m\u00e9thode de mod\u00e9lisation spatiale d\u00e9velopp\u00e9e par l'UCL dans le cadre de la convention CARBIOSOL.\n\nPour plus de d\u00e9tails sur la constitution des couches cartographiques g\u00e9n\u00e9r\u00e9es dans le cadre du projet CARBIOSOL, veuillez-vous r\u00e9f\u00e9rer \u00e0 la fiche de m\u00e9tadonn\u00e9es documentant la s\u00e9rie de couches de donn\u00e9es.\n\nEn chaque pixel, la teneur en carbone organique total (COT) est exprim\u00e9e en gramme de carbone par kilogramme de terre fine s\u00e8che (gC/kg). Le r\u00e9sultat en sortie du mod\u00e8le est une couche raster des teneurs en COT \u00e0 90 m\u00e8tres de r\u00e9solution et spatialement continue sur le territoire agricole wallon.\n\nLes teneurs moyennes en COT observ\u00e9es pour les sols (horizons de surface) sous cultures et prairies permanentes sur la p\u00e9riode 2004-2014 \u00e9taient de 1.30 gC/kg et 3.61 gC/kg respectivement, d\u2019apr\u00e8s la base de donn\u00e9es REQUASUD.\n\nSur cette m\u00eame p\u00e9riode, 22 % des superficies sous cultures pr\u00e9sentaient des teneurs en COT < 1.15 gC kg-1 et 73 % pr\u00e9sentaient des teneurs < 1.5 gC/kg. En de\u00e7\u00e0 de 1.15 gC/kg, le sol est d\u00e9structur\u00e9.\n\nEntre 2004 et 2014, les teneurs en COT des sols pour les deux occupations de sols tendent \u00e0 augmenter du nord-ouest au sud-est, de la r\u00e9gion sablo-limoneuse \u00e0 la r\u00e9gion ardennaise, et \u00e0 rebaisser en r\u00e9gion Jurassique.", "formats": [{"name": "TIFF (.tif"}, {"name": " .tiff)"}, {"name": "WWW:LINK"}, {"name": "OGC:WMS"}, {"name": "atom:feed"}], "keywords": ["Sol et sous-sol", "Nature et environnement", "Agriculture", "dynamique naturelle", "sol", "biologie", "biologie du sol", "organisme du sol", "carbone organique", "mod\u00e9lisation", "surveillance de l'environnement", "prairie", "qualit\u00e9 du sol", "donn\u00e9es sur l'\u00e9tat de l'environnement", "type de sol", "conservation du sol", "carbone organique total", "sol", "station de surveillance", "cartographie", "mati\u00e8re organique", "carbone", "for\u00eat", "analyse des sols", "cycle du carbone", "cartogramme", "profil du sol", "utilisation du sol", "r\u00e9seau de mesure", "culture", "stockage", "ressources du sol", "sous-sol", "Open Data", "PanierTelechargementGeoportailNO", "Reporting INSPIRE", "WalOnMapNO", "Extraction_DIG", "BDInfraSIG", "COT", "COS", "CARBIOSOL", "CARBOSOL", "RSS", "teneur en carbone", "Aardewerk", "CNSW", "COSW", "REQUASUD", "RMSE", "GAM", "Mod\u00e8le Additif G\u00e9n\u00e9ralis\u00e9", "MAG", "Monte-Carlo", "covariable", "CO2", "Digital Soil Mapping", "DTM", "Erreur", "horizon de sol", "Sols", "R\u00e9gional", "2023/138 - High Value Datasets Regulation", "Observation de la terre et environnement"], "contacts": [{"name": null, "organization": "Helpdesk carto du SPW (SPW - Secr\u00e9tariat g\u00e9n\u00e9ral - SPW Digital - D\u00e9partement Donn\u00e9es transversales - Gestion et valorisation de la donn\u00e9e)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Direction de la Protection des Sols (SPW - Agriculture, Ressources naturelles et Environnement - D\u00e9partement du Sol et des D\u00e9chets - Direction de la Protection des Sols)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "esther.goidts@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "Service public de Wallonie (SPW)", "position": null, "roles": ["owner"], "phones": [{"value": null}], "emails": [{"value": "helpdesk.carto@spw.wallonie.be"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://geoportail.wallonie.be", "protocol": "WWW:LINK", "protocol_url": "", "name": "G\u00e9oportail de la Wallonie", "name_url": "", "description": "G\u00e9oportail de la Wallonie", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}, {"name": "Caroline Chartin", "organization": "Universit\u00e9 catholique de Louvain - 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Er gibt einen \u00dcberblick zum Fl\u00e4chentyp Bodenartgruppe und Fl\u00e4chentyp Genese der B\u00f6den Brandenburgs und ist aktuell das hochaufl\u00f6sendste blattschnittfreie bodenkundliche Kartenwerk des LBGR im Rasterformat, mit einer Aufl\u00f6sung von 10 x 10 m. Datengrundlagen der Karten sind Fl\u00e4chendaten der Bodensch\u00e4tzung, Geologie und verschiedene bodenkundliche Punkt- und Fl\u00e4chendaten.      Die Auswertungen liefern die fachliche Basis sowohl f\u00fcr die Planung und Umsetzung bodenkundlicher Kartierungen, als auch f\u00fcr die Synthese und Ableitung der Bodenfunktions- und -gef\u00e4hrdungsbewertungen. Die G\u00fcte der zugrundeliegenden Konzeptbodenkarten (KBK) hat somit einen hohen Einfluss auf die Qualit\u00e4t der abgeleiteten Produkte. Im Land Brandenburg werden die KBK mit einem regelbasierten Ansatz weitgehend automatisiert softwaretechnisch abgeleitet. Das Verfahren implementiert die bislang analog durchgef\u00fchrten Arbeitsschritte und bildet als \u201eExpertensystem\u201c das Verst\u00e4ndnis \u00fcber die Genese und die Verbreitung der B\u00f6den in Brandenburg weitgehend ab.     Derzeit wird ein robustes Verfahren zum Abgleich laufender Erhebungen mit den \u201ePrognosen\u201c der Konzeptkarten und darauf fu\u00dfend deren systematische \u00dcberpr\u00fcfung und Bewertung erarbeitet. Zuk\u00fcnftig sollen in diesem Verfahren erkannte Defizite systematisch in einem modifizierten Ableitungsregelwerk ber\u00fccksichtigt und die Konzeptbodenkarten fortlaufend aktualisiert werden. Eine ausf\u00fchrliche Legende sowie die Erl\u00e4uterungen der Werte ist zu finden unter: https://isk.geobasis-bb.de/geodienste/lbgr/KBK_Erlaeuterungen.pdf.     Gem\u00e4\u00df der INSPIRE-Datenspezifikation f\u00fcr Soil liegen die Inhalte INSPIRE-konform vor. Der WCS beinhaltet die folgenden Coverages:      - SO.SoilTextureClasses:bft,     - SO.SoilGenesis:gft,     - SO.SoilPedogenesis:pft.     ---      The compliant INSPIRE-WCS is a download service that delivers data in the INSPIRE target schema Soil (derived from the original data series: Concept pedological maps in the State of Brandenburg). It provides an overview of the soil texture classes and soil genesis in the State of Brandenburg and is currently the highest-resolution pedological map of the LBGR in raster format with a resolution of 10 x 10 meters. The maps are based on data from German Soil taxonomy classification, geology and various pedological spatial data.     The evaluations provide the technical basis for the planning and implementation of soil surveys as well as for the synthesis and derivation of soil function and risk assessments. The quality of the underlying Concept pedological maps (KBK) therefore has a major influence on the quality of the derived products. In the State of Brandenburg, the KBK is derived using a largely automated software-based approach. The procedure implements the work steps that have been carried out analogously to date and, as an 'expert system', largely reflects the understanding of the genesis and distribution of soils in Brandenburg.     A robust procedure for comparing current surveys with the 'forecasts' of the KBK and, based on this, their systematic review and evaluation is currently being developed. In the future, deficits identified in this procedure will be systematically taken into account in a modified derivation set of rules and the KBK will be continuously updated. A detailed legend and explanations can be found at: https://isk.geobasis-bb.de/geodienste/lbgr/KBK_Erlaeuterungen.pdf. The content is compliant to the INSPIRE Data Specification on Soil. 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The stored milliequivalents of cations were converted on the basis of a column of soil with a surface area of 1cm2 and a height corresponding to the physiological root penetration depth. This gave the milliequivalents (mEq) of cations per cm2. 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Therefore, N2O models have an important role to play. As models are comparatively cheap to run, they can be used to extrapolate field measurements to regional or national scales, to simulate emissions over long time periods, or to run scenarios to compare mitigation practices. Process\uffe2\uff80\uff90based models can also be used as an aid to understanding the underlying processes, as they can simulate feedbacks and interactions that can be difficult to distinguish in the field. However, when applying models, it is important to understand the conceptual process differences in models, how conceptual understanding changed over time in various models, and the model requirements and limitations to ensure that the model is well suited to the purpose of the investigation and the type of system being simulated. The aim of this paper is to give the reader a high\uffe2\uff80\uff90level overview of some of the important issues that should be considered when modeling. This includes conceptual understanding of widely used models, common modeling techniques such as calibration and validation, assessing model fit, sensitivity analysis, and uncertainty assessment. We also review examples of N2O modeling for different purposes and describe three commonly used process\uffe2\uff80\uff90based N2O models (APSIM, DayCent, and DNDC).</p", "keywords": ["Environmental Engineering", "Monitoring", "330", "Supplementary Data", "QH301 Biology", "Nitrous Oxide", "01 natural sciences", "QH301", "Soil", "NE/M021327/1", "SDG 13 - Climate Action", "774378", "European Commission", "Waste Management and Disposal", "Water Science and Technology", "0105 earth and related environmental sciences", "Policy and Law", "Natural Environment Research Council (NERC)", "NE/P019455/1", "Uncertainty", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Pollution", "Management", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/jeq2.20119"}, {"href": "https://doi.org/10.1002/jeq2.20119"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Quality", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/jeq2.20119", "name": "item", "description": "10.1002/jeq2.20119", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/jeq2.20119"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-27T00:00:00Z"}}, {"id": "053bcacc-0ae4-4e03-9a79-9e0ecb56cd77-bundesamt-fur-umwelt-bafu", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-27T00:00:00", "type": "Dataset", "title": "Monthly rainfall erosivity (R-factor) maps of Switzerland in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9, February", "description": "<p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha\u207b\u00b9 h\u207b\u00b9 month\u207b\u00b9. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. 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