{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.10907096", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-16T16:23:01Z", "type": "Dataset", "title": "Global soil type dataset for WRF-ARW model, based on HWSD version 2", "description": "Global soil type dataset, based on HWSD ('Harmonized World Soil Database', version 2.0), suitable for meteorological model WRF-ARW.    spatial resolution: 30 arc seconds by 30 arc seconds (about 1km)  original data (HWSD 2.0)    https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/HWSD/HWSD2_RASTER.zip  https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/HWSD/HWSD2_DB.zip  https://gaez.fao.org/pages/hwsd  documentation: Nachtergaele, Freddy, et al. Harmonized world soil database version 2.0. Food and Agriculture Organization of the United Nations, 2023. https://www.fao.org/3/cc3823en/cc3823en.pdf    the original 7 soil layers (0\u201320 cm, 20\u201340 cm, 40\u201360 cm, 60\u201380 cm, 80\u2013100 cm, 100\u2013150 cm and 150\u2013200 cm) have been remapped to the 2 layers required by WRF (topsoil 0-30 cm, botsoil 30-200 cm)  the original Soil Mapping Units (SMU) have been remapped to the 16 soil categories used by WRF:    the depth-weighted averages of the content of clay, silt and sand lead to 12 texture-based categories (Sand, Loamy sand, Sandy loam, Silt loam, Silt, Loam, Sandy clay loam, Silty clay loam, Clay loam, Sandy clay, Silty clay, Clay), as defined by USDA;  category 'Organic material' is assigned where the average content of organic carbon exceeds the threshold of 25%;  where the content of clay, silt and sand is not defined, HWSD special categories are mapped to the WRF last 3 categories, as follows:    'Water bodies' to 'Water',\u00a0  'Rock outcrops' and 'Rocky sublayers' to 'Bedrock',\u00a0  'Land ice and glaciers', 'Dunes/shifting sands', 'Salt flats', and 'Other' to 'Other'       The dataset is provided in three ways:    two global files (SoilType_depth<T>to<B>cm.tif), one for each layer; format is GeoTIFF, compatible with\u00a0convert_geotiff, a commandline utility for converting data from GeoTIFF to geogrid format used by WRF;  16 tiles, 8 for each layer, each covering 90 degrees by 90 degrees (SoilType_depth<T>to<B>cm_lon<W>to<E>deg_lat<S>to<N>deg.tif); format is GeoTIFF;  two compressed folders, hwsd_toplayer.zip and hwsd_bottomlayer.zip, each including 648 tiles in binary format and an 'index' ASCII file, following the Geogrid data format and naming convention, as described here.   Soil categories are coded as follows     code category   1 sand   2 loamy sand   3 sandy loam   4 silt loam   5 silt   6 loam   7 sandy clay loam   8 silty clay loam   9 clay loam   10 sandy clay   11 silty clay   12 clay   13 organic material   14 water   15 bedrock   16 other", "keywords": ["Soil sciences", "Meteorology", "soil type", "WRF", "land surface model", "soil classification", "HWSD"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10907096"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10907096", "name": "item", "description": "10.5281/zenodo.10907096", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10907096"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-27T00:00:00Z"}}, {"id": "0f85c381-e496-47d9-89d8-f1fe2ee1a517", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-02-05T10:34:26", "type": "Dataset", "language": "eng", "title": "A homogenized soil data file for global environmental research: A subset of FAO, ISRIC and NRCS profiles", "description": "A homogenized, global set of 1,125 soil profiles is presented. These profiles have been extracted from the database developed at ISRIC for a project on \"World Inventory of Soil Emission Potentials\" (WISE), as a contribution to the activities of the Global Soils Data Task Group of IGBP-DIS. The subset consists of a selection of 665 profiles originating from digital data files released by the Natural Resources Conservation Service (NRCS, Lincoln), 250 profiles obtained from the Food and Agriculture Organization (FAO, Rome), and 210 profiles from the reference collection of the International Soil Reference and Information Centre (ISRIC, Wageningen). All profiles are georeferenced and classified in the FAO-Unesco Legend whereby they can be linked to the edited and digital version of the FAO-Unesco Soil Map of the World. This data set is being released in the public domain for use by global modellers and other interested scientists. It is envisaged that the data set will be expanded by ISRIC when new, uniform soil profile data become available.\n\nNote: \na) A more recent version (some 10,000 profiles) of WISE profiles is available at: http://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/a351682c-330a-4995-a5a1-57ad160e621c (2009)\nb) For a larger compilation see the WoSIS database: http://isric.org/explore/wosis (2017)", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic carbon", "bulk density", "soil classification", "soil depth", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "soil profiles", "nutrients", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Eloi Ribeiro", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": "Geoinformatic", "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": ["P.O. Box 47"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6708 PB", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ISRIC - World Soil Information (WDC - Soils)", "roles": ["contributor"]}], "distancevalue": "30", "distanceuom": "arc-second"}, "links": [{"href": "https://files.isric.org/public/wise/ISRIC_report_1995_10b.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://www.isric.org/documents/document-type/isric-report-199510b-homogenized-soil-data-file-global-environmental", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wise/ISRIC-WISE_Internat_Soil_Prof_Data_Set_c.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0f85c381-e496-47d9-89d8-f1fe2ee1a517", "name": "item", "description": "0f85c381-e496-47d9-89d8-f1fe2ee1a517", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0f85c381-e496-47d9-89d8-f1fe2ee1a517"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "1995-07-01T00:00:00Z"]}}, {"id": "10.3390/rs12091512", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-16T16:21:50Z", "type": "Journal Article", "created": "2020-05-11", "title": "Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Wise soil management requires detailed soil information, but conventional soil class mapping in a rather coarse spatial resolution cannot meet the demand for precision agriculture. With the advantages of non-destructiveness, rapid cost-efficiency, and labor savings, the spectroscopic technique has proved its high potential for success in soil classification. Previous studies mainly focused on predicting soil classes using a single sensor. In this study, we attempted to compare the predictive ability of visible near infrared (vis-NIR) spectra, mid-infrared (MIR) spectra, and their fused spectra for soil classification. A total of 146 soil profiles were collected from Zhejiang, China, and the soil properties and spectra were measured by their genetic horizons. Along with easy-to-measure auxiliary soil information (soil organic matter, soil texture, color and pH), four spectral data, including vis-NIR, MIR, their simple combination (vis-NIR-MIR), and outer product analysis (OPA) fused spectra, were used for soil classification using a multiple objectives mixed support vector machine model. The independent validation results showed that the classification model using MIR (accuracy of 64.5%) was slightly better than that using vis-NIR (accuracy of 64.2%). The predictive model built on vis-NIR-MIR did not improve the classification accuracy, having the lowest accuracy of 61.1%, which likely resulted from an over-fitting problem. The model based on OPA fused spectra performed best with an accuracy of 68.4%. Our results prove the potential of fusing vis-NIR and MIR using OPA for improving prediction ability for soil classification.</p></article>", "keywords": ["[SDE] Environmental Sciences", "support vector machine; vis-NIR; MIR; outer product analysis; soil classification", "2. Zero hunger", "Science", "Q", "vis-NIR", "MIR", "soil classification", "04 agricultural and veterinary sciences", "15. Life on land", "771", "630", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "support vector machine", "outer product analysis"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/9/1512/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/9/1512/pdf"}, {"href": "https://doi.org/10.3390/rs12091512"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12091512", "name": "item", "description": "10.3390/rs12091512", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12091512"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-09T00:00:00Z"}}, {"id": "76f1bae3-cee1-4bc7-98b2-beb036d88d2b", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2023-12-08T11:18:44", "type": "Dataset", "language": "eng", "title": "WoSIS snapshot - July 2016", "description": "The aim of the World Soil Information Service (WoSIS) is to serve quality-assessed, geo-referenced soil data (point, polygon, and grid) to the international community upon their standardisation and harmonisation. So far, the focus has been on developing procedures for legacy point data with special attention to the selection of soil analytical and physical properties considered in the GlobalSoilMap specifications (e.g. organic carbon, soil pH, soil texture (sand, silt, and clay), coarse fragments (\u2009greater than\u2009\u202f2\u202fmm), cation exchange capacity, electrical conductivity, bulk density, and water holding capacity). Profile data managed in WoSIS were contributed by a wide range of soil data providers; the data have been described, sampled, and analysed according to methods and standards in use in the originating countries. Hence, special attention was paid to measures for soil data quality and the standardisation of soil property definitions, soil property values, and soil analytical method descriptions.\n\nAt the time of writing, the full WoSIS database contained some 118\u202f400 unique shared soil profiles, of which some 96\u202f000 are geo-referenced within defined limits. In total, this corresponds with over 31 million soil records, of which some 20\u202f% have so far been quality-assessed and standardised using the sequential procedure discussed in this paper.\n\nThe number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Overall, the data lineage strongly determined which data could be standardised with acceptable confidence in accord with WoSIS procedures, corresponding to over 4 million records for 94\u202f441 profiles.\n\nThe downloadable ZIP file has the data in TSV (tab separated values). It contains the following files:\n- ReadmeFirst_WoSIS_2016.pdf (148.1 KB)\n- wosis_201607_attributes.txt (4.1 KB)\n- wosis_201607_layers.txt (679.1 MB)\n- wosis_201607_profiles.txt (8.8 MB)\n\nCitation:\nBatjes NH, Ribeiro E, van Oostrum A, Leenaars J, and Mendes de Jesus J 2016. Standardised soil profile data for the world (WoSIS, July 2016 snapshot), doi:10.17027/isric-wdcsoils.20160003.\nThe dataset accompanies the following data paper: Batjes NH, Ribeiro E, van Oostrum A, Leenaars J, Hengl T, and Mendes de Jesus J 2017. WoSIS: Providing standardised soil profile data for the world, Earth System Science Data 9, 1-14, doi:10.5194/essd-9-1-2017.", "formats": [{"name": "Niels H. Batjes"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["bulk density", "cation exchange capacity", "soil classification", "coarse fragments", "clay", "effective cation exchange capacity", "electrical conductivity", "organic carbon", "pH", "sand", "silt", "calcium carbonate", "texture", "water retention", "soil profiles", "Soil science", "Global"], "contacts": [{"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Eloi Ribeiro", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "ISRIC - World Soil Information", "roles": ["contributor"]}], "denominator": "100000"}, "links": [{"href": "https://files.isric.org/public/wosis_snapshot/WoSIS_2016_July.zip", "name": "Download zip", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.5194/essd-9-1-2017", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/wosis/faq-wosis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wosis_snapshot/wosis_snapshot.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "76f1bae3-cee1-4bc7-98b2-beb036d88d2b", "name": "item", "description": "76f1bae3-cee1-4bc7-98b2-beb036d88d2b", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/76f1bae3-cee1-4bc7-98b2-beb036d88d2b"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2013-02-12T00:00:00Z"]}}, {"id": "ca880bd4-cff8-11e9-8046-0cc47adaa92c", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2023-12-08T11:13:11", "type": "Dataset", "language": "eng", "title": "WoSIS snapshot - September 2019", "description": "The World Soil Information Service (WoSIS) provides quality-assessed and standardised soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the first \u2018WoSIS snapshot\u2019, in July 2016, many new soil data were shared with us, registered in the ISRIC data repository, and subsequently standardised in accordance with the licences specified by the data providers. Soil profile data managed in WoSIS were contributed by a wide range of data providers, therefore special attention was paid to measures for soil data quality and the standardisation of soil property definitions, soil property values (and units of measurement), and soil analytical method descriptions.\n\nWe presently consider the following soil chemical properties (organic carbon, total carbon, total carbonate equivalent, total Nitrogen, Phosphorus (extractable-P, total-P, and P-retention), soil pH, cation exchange capacity, and electrical conductivity) and physical properties (soil texture (sand, silt, and clay), bulk density, coarse fragments, and water retention), grouped according to analytical procedures (aggregates) that are operationally comparable.\n\nFurther, for each profile, we provide the original soil classification (FAO, WRB, USDA, and version) and horizon designations insofar as these have been specified in the source databases. Measures for geographical accuracy (i.e. location) of the point data as well as a first approximation for the uncertainty associated with the operationally defined analytical methods are presented, for possible consideration in digital soil mapping and subsequent earth system modelling.\n\nThe present snapshot, referred to as \u2018WoSIS snapshot - September 2019\u2019, comprises 196,498 geo-referenced profiles originating from 173 countries. They represent over 832 thousand soil layers (or horizons), and over 6 million records. The actual number of observations for each property varies (greatly) between pro\ufb01les and with depth, this generally depending on the objectives of the initial soil sampling programmes.\n\nThe downloadable ZIP file has the data in TSV (tab separated values) and GeoPackage format. It contains the following files:\n- ReadmeFirst_WoSIS_2019dec04.pdf (546.7 KB)\n- wosis_201909.gpkg (2.2 GB, same data as in the tsv)\n- wosis_201909_attributes.tsv (8.7 KB)\n- wosis_201909_layers_chemical.tsv (893.5 MB)\n- wosis_201909_layers_physical.tsv (890.7 MB)\n- wosis_201909_profiles.tsv (18.8 MB)\n\nTo read the data in R, please, uncompress the ZIP file and specify the uncompressed folder. Then use read_tsv to read the TSV files, specifying the data types for each column (c = character, i = integer, n = number, d = double, l = logical, f = factor, D = date, T = date time, t = time).\n\nsetwd(\"/YourFolder/WoSIS_2019_September/\")\nattributes = readr::read_tsv('wosis_201909_attributes.tsv', col_types='cccciicd')\nprofiles = readr::read_tsv('wosis_201909_profiles.tsv', col_types='icccdddiicccciccccicccc')\nchemical = readr::read_tsv('wosis_201909_layers_chemical.tsv', col_types='iiddclcdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccc')\nphysical = readr::read_tsv('wosis_201909_layers_physical.tsv', col_types='iiddclcdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccccdccccc')\n\nFor more detailed instructions on how to read the data with R, please visit https://www.isric.org/accessing-wosis-using-r.\n\nCitation:\nBatjes N.H, Ribeiro E, and van Oostrum A.J.M, 2019. Standardised soil profile data for the world (WoSIS snapshot - September 2019), https://doi.org/10.17027/isric-wdcsoils.20190901.\nThe dataset accompanies the following data paper: Batjes N.H., Ribeiro E., and van Oostrum A.J.M., 2019. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot - 2019). Earth System Science Data, https://doi.org/10.5194/essd-12-299-2020.", "formats": [{"name": "Niels H. Batjes"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["bulk density", "cation exchange capacity", "soil classification", "coarse fragments", "clay", "effective cation exchange capacity", "electrical conductivity", "organic carbon", "pH", "sand", "silt", "calcium carbonate", "texture", "water retention", "soil profiles", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Ad van Oostrum", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "ad.vanoostrum@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Eloi Ribeiro", "organization": "ISRIC - World Soil Information", "position": "Geoinformatic", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": ["P.O. Box 47"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6708 PB", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "denominator": "100000"}, "links": [{"href": "https://files.isric.org/public/wosis_snapshot/WoSIS_2019_September.zip", "name": "Download zip", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.5194/essd-12-299-2020", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/wosis/faq-wosis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wosis_snapshot/wosis_snapshot_201909.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "ca880bd4-cff8-11e9-8046-0cc47adaa92c", "name": "item", "description": "ca880bd4-cff8-11e9-8046-0cc47adaa92c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ca880bd4-cff8-11e9-8046-0cc47adaa92c"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2016-07-05T00:00:00Z"]}}, {"id": "e50f84e1-aa5b-49cb-bd6b-cd581232a2ec", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-02-05T09:26:02", "type": "Dataset", "language": "eng", "title": "WoSIS snapshot - December 2023", "description": "ABSTRACT:\n\nThe World Soil Information Service (WoSIS) provides quality-assessed and standardized soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the \u2018WoSIS snapshot 2019\u2019 many new soil data were shared with us, registered in the ISRIC data repository, and subsequently standardized in accordance with the licenses specified by the data providers. The source data were contributed by a wide range of data providers, therefore special attention was paid to the standardization of soil property definitions, soil analytical procedures and soil property values (and units of measurement).\n\nWe presently consider the following soil chemical properties (organic carbon, total carbon, total carbonate equivalent, total Nitrogen, Phosphorus (extractable-P, total-P, and P-retention), soil pH, cation exchange capacity, and electrical conductivity) and physical properties (soil texture (sand, silt, and clay), bulk density, coarse fragments, and water retention), grouped according to analytical procedures (aggregates) that are operationally comparable.\n\nFor each profile we provide the original soil classification (FAO, WRB, USDA, and version) and horizon designations as far as these have been specified in the source databases. \n\nThree measures for 'fitness-for-intended-use' are provided: positional uncertainty (for site locations), time of sampling/description, and a first approximation for the uncertainty associated with the operationally defined analytical methods. These measures should be considered during digital soil mapping and subsequent earth system modelling that use the present set of soil data. \n\n\nDATA SET DESCRIPTION:\n\nThe 'WoSIS 2023 snapshot' comprises data for 228k profiles from 217k geo-referenced sites that originate from 174 countries. The profiles represent over 900k soil layers (or horizons) and over 6 million records. The actual number of measurements for each property varies (greatly) between pro\ufb01les and with depth, this generally depending on the objectives of the initial soil sampling programmes. \n\nThe data are provided in TSV (tab separated values) format and as GeoPackage. The zip-file (446 Mb) contains the following files: \n\n- Readme_WoSIS_202312_v2.pdf: Provides a short description of the dataset, file structure, column names, units and category values (this file is also available directly under 'online resources'). The pdf includes links to tutorials for downloading the TSV files into R respectively Excel. See also 'HOW TO READ TSV FILES INTO R AND PYTHON' in the next section. \n \n- wosis_202312_observations.tsv: This file lists the four to six letter codes for each observation, whether the observation is for a site/profile or layer (horizon), the unit of measurement and the number of profiles respectively layers represented in the snapshot. It also provides an estimate for the inferred accuracy for the laboratory measurements.\n\n- wosis_202312_sites.tsv: This file characterizes the site location where profiles were sampled.\n\n- wosis_2023112_profiles: Presents the unique profile ID (i.e. primary key), site_id, source of the data, country ISO code and name, positional uncertainty, latitude and longitude (WGS 1984), maximum depth of soil described and sampled, as well as information on the soil classification system and edition. Depending on the soil classification system used, the number of fields will vary .\n\n- wosis_202312_layers: This file characterises the layers (or horizons) per profile, and lists their upper and lower depths (cm). \n\n- wosis_202312_xxxx.tsv : This type of file presents results for each observation (e.g. \u201cxxxx\u201d = \u201cBDFIOD\u201d ), as defined under \u201ccode\u201d in file wosis_202312_observation.tsv. (e.g. wosis_202311_bdfiod.tsv). \n\n- wosis_202312.gpkg: Contains the above datafiles in GeoPackage format (which stores the files within an SQLite database).\n\n\nHOW TO READ TSV FILES INTO R  AND PYTHON:\n\nA) To read the data in R, please uncompress the ZIP file and specify the uncompressed folder. \n\nsetwd(\"/YourFolder/WoSIS_2023_December/\")       ## For example: setwd('D:/WoSIS_2023_December/')\n\nThen use read_tsv to read the TSV files, specifying the data types for each column (c = character, i = integer, n = number, d = double, l = logical, f = factor, D = date, T = date time, t = time).\n\nobservations = readr::read_tsv('wosis_202312_observations.tsv', col_types='cccciid')  \nobservations          ## show columns and first 10 rows    \n\nsites = readr::read_tsv('wosis_202312_sites.tsv', col_types='iddcccc')\nsites   \n\nprofiles = readr::read_tsv('wosis_202312_profiles.tsv', col_types='icciccddcccccciccccicccci')\nprofiles \n\nlayers = readr::read_tsv('wosis_202312_layers.tsv', col_types='iiciciiilcc')\nlayers  \n\n## Do this for each observation 'XXXX', e.g. file 'Wosis_202312_orgc.tsv':\norgc = readr::read_tsv('wosis_202312_orgc.tsv', col_types='iicciilccdccddccccc')   \norgc\n\n\nNote: One may also use the following R code (example is for file 'observations.tsv'):\nobservations <- read.table(\"wosis_202312_observations.tsv\",\n sep = \"\\t\",\n header = TRUE,\n quote = \"\",\n comment.char = \"\",\n stringsAsFactors = FALSE\n )\n\n\nB) To read the files into python first decompress the files to your selected folder.  Then in python: \n\n# import the required library\nimport pandas as pd\n\n# Read the observations data\nobservations = pd.read_csv(\"wosis_202312_observations.tsv\", sep=\"\\t\")\n    # print the data frame header and some rows\n      observations.head()\n\n# Read the sites data\nsites = pd.read_csv(\"wosis_202312_sites.tsv\", sep=\"\\t\")\n\n# Read the profiles data\nprofiles = pd.read_csv(\"wosis_202312_profiles.tsv\", sep=\"\\t\")\n\n# Read the layers data\nlayers = pd.read_csv(\"wosis_202312_layers.tsv\", sep=\"\\t\")\n\n# Read the soil property data, e.g. 'cfvo' (do this for each observation)\ncfvo = pd.read_csv(\"wosis_202312_cfvo.tsv\", sep=\"\\t\")\n\n\nCITATION:\nCalisto, L., de Sousa, L.M., Batjes, N.H., 2023. Standardised soil profile data for the world (WoSIS snapshot \u2013 December 2023), https://doi.org/10.17027/isric-wdcsoils-20231130\n\nSupplement to:\nBatjes N.H., Calisto, L. and de Sousa L.M., 2023. Providing quality-assessed and standardised soil data to support global mapping and modelling (WoSIS snapshot 2023). Earth System Science Data,  https://doi.org/10.5194/essd-16-4735-2024.", "formats": [{"name": "TSV and Geopackage"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["bulk density", "cation exchange capacity", "soil classification", "coarse fragments", "clay", "effective cation exchange capacity", "electrical conductivity", "organic carbon", "pH", "sand", "silt", "calcium carbonate", "texture", "soil profiles", "water retention", "total nitrogen", "Soil science", "Global"], "contacts": [{"name": "Luis Calisto", "organization": "ISRIC - World Soil Information", "position": "Database expert", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "luis.calisto@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Luis M. de Sousa", "organization": "ISRIC - World Soil Information", "position": "Geoinformatic", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "luis.deSousa@isric.org"}], "addresses": [{"deliveryPoint": ["P.O. 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Excel.", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://www.isric.org/sites/default/files/wosis_latest_2023may.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "e50f84e1-aa5b-49cb-bd6b-cd581232a2ec", "name": "item", "description": "e50f84e1-aa5b-49cb-bd6b-cd581232a2ec", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e50f84e1-aa5b-49cb-bd6b-cd581232a2ec"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2022-12-01T00:00:00Z"]}}, {"id": "10.5281/zenodo.2585890", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-16T16:24:12Z", "type": "Dataset", "title": "Each soil deserves a name: Unnamed soils, lost opportunities", "description": "EmbargoThis dataset refers to the Viewpoint published in  Environ. Sci. Technol., doi: 10.1021/acs.est.9b03050", "keywords": ["World Reference Base for Soil Resources", "classification", "mySOIL", "SoilWeb", "SoilGrids", "soil classification", "WRB", "15. Life on land", "USDA Soil Taxonomy"], "contacts": [{"organization": "Certini, Giacomo, Scalenghe, Riccardo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2585890"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2585890", "name": "item", "description": "10.5281/zenodo.2585890", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2585890"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.8090575", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-16T16:24:40Z", "type": "Journal Article", "created": "2020-05-11", "title": "Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Wise soil management requires detailed soil information, but conventional soil class mapping in a rather coarse spatial resolution cannot meet the demand for precision agriculture. With the advantages of non-destructiveness, rapid cost-efficiency, and labor savings, the spectroscopic technique has proved its high potential for success in soil classification. Previous studies mainly focused on predicting soil classes using a single sensor. In this study, we attempted to compare the predictive ability of visible near infrared (vis-NIR) spectra, mid-infrared (MIR) spectra, and their fused spectra for soil classification. A total of 146 soil profiles were collected from Zhejiang, China, and the soil properties and spectra were measured by their genetic horizons. Along with easy-to-measure auxiliary soil information (soil organic matter, soil texture, color and pH), four spectral data, including vis-NIR, MIR, their simple combination (vis-NIR-MIR), and outer product analysis (OPA) fused spectra, were used for soil classification using a multiple objectives mixed support vector machine model. The independent validation results showed that the classification model using MIR (accuracy of 64.5%) was slightly better than that using vis-NIR (accuracy of 64.2%). The predictive model built on vis-NIR-MIR did not improve the classification accuracy, having the lowest accuracy of 61.1%, which likely resulted from an over-fitting problem. The model based on OPA fused spectra performed best with an accuracy of 68.4%. Our results prove the potential of fusing vis-NIR and MIR using OPA for improving prediction ability for soil classification.</p></article>", "keywords": ["[SDE] Environmental Sciences", "support vector machine; vis-NIR; MIR; outer product analysis; soil classification", "2. Zero hunger", "Science", "Q", "vis-NIR", "MIR", "soil classification", "04 agricultural and veterinary sciences", "15. Life on land", "771", "630", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "support vector machine", "outer product analysis"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/9/1512/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/9/1512/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8090575"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8090575", "name": "item", "description": "10.5281/zenodo.8090575", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8090575"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-09T00:00:00Z"}}, {"id": "3025754366", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-16T16:27:20Z", "type": "Journal Article", "created": "2020-05-11", "title": "Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Wise soil management requires detailed soil information, but conventional soil class mapping in a rather coarse spatial resolution cannot meet the demand for precision agriculture. With the advantages of non-destructiveness, rapid cost-efficiency, and labor savings, the spectroscopic technique has proved its high potential for success in soil classification. Previous studies mainly focused on predicting soil classes using a single sensor. In this study, we attempted to compare the predictive ability of visible near infrared (vis-NIR) spectra, mid-infrared (MIR) spectra, and their fused spectra for soil classification. A total of 146 soil profiles were collected from Zhejiang, China, and the soil properties and spectra were measured by their genetic horizons. Along with easy-to-measure auxiliary soil information (soil organic matter, soil texture, color and pH), four spectral data, including vis-NIR, MIR, their simple combination (vis-NIR-MIR), and outer product analysis (OPA) fused spectra, were used for soil classification using a multiple objectives mixed support vector machine model. The independent validation results showed that the classification model using MIR (accuracy of 64.5%) was slightly better than that using vis-NIR (accuracy of 64.2%). The predictive model built on vis-NIR-MIR did not improve the classification accuracy, having the lowest accuracy of 61.1%, which likely resulted from an over-fitting problem. The model based on OPA fused spectra performed best with an accuracy of 68.4%. Our results prove the potential of fusing vis-NIR and MIR using OPA for improving prediction ability for soil classification.</p></article>", "keywords": ["[SDE] Environmental Sciences", "support vector machine; vis-NIR; MIR; outer product analysis; soil classification", "2. Zero hunger", "Science", "Q", "vis-NIR", "MIR", "soil classification", "04 agricultural and veterinary sciences", "15. Life on land", "771", "630", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "support vector machine", "outer product analysis"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/9/1512/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/9/1512/pdf"}, {"href": "https://doi.org/3025754366"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3025754366", "name": "item", "description": "3025754366", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3025754366"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-09T00:00:00Z"}}, {"id": "41cb0ae9-1604-4807-96e6-0dc8c94c5d22", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-02-05T08:27:21", "type": "Dataset", "language": "eng", "title": "IPCC default soil classes derived from the Harmonized World Soil Data Base, version 1.2", "description": "This global data set shows the spatial distribution of generalized soil classes as defined for IPCC Tier-I level national greenhouse gas inventory assessments. The database was derived from the Harmonized World Soil Data Base (HWSD ver. 1.1, at scale 1:1-1:5 M) and a series of taxotransfer procedures to convert FAO soil classifications (1974, 1985 and 1990 Legend) to the seven default IPCC soil classes: high activity clay (HAC), low activity clay (LAC), Sandy (SAN), Spodic (POD), Volcanic (VOL), wetlands (WET) and Organic (ORG). The resulting GIS database may be used for exploratory assessments at national and broader scale, for regions that lack more detailed soil information; inherent limitations of the data are discussed in the documentation. \n\nThis dataset has been compiled in the framework of the GEF co-funded 'Carbon Benefits Project: Measuring, modelling and monitoring', Component A ( http://carbonbenefitsproject-compa.colostate.edu/index.htm).\n\nMarch 2021 (version 1.2): Minor updates were applied for the 'SAN' class; for details see below and download file.", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["soil classification", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["distributor"], "phones": [{"value": "+31 317 483 735"}], "emails": [{"value": "info@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["custodian"], "phones": [{"value": "+31 317 483 735"}], "emails": [{"value": "info@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "arc-second"}, "links": [{"href": "https://files.isric.org/public/other/IPCC_default_soil_classes_derived_from_the_Harmonized_World_Soil_Data_Base_version_1_2.zip", "name": "Download v1.2", "description": "Minor changes vis a vis version 1.1. About 184 map units were recoded to SAN class (based on >70% sand and <8% clay criterium in top 30 cm). 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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 BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos 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 BonaRes Module A-Project - InnoSoilPhos 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": "2022-04-08", "type": "Service", "created": "2020-03-31", "language": "eng", "title": "WMS Service of the dataset 'Lysimeter data Rostock: Soil profiles'", "description": "This WMS Service includes spatial information used by datasets 'WMS  Service of the dataset 'Lysimeter data Rostock: Soil profiles''", "keywords": ["infoMapAccessService", "Soil", "Soil profiles", "Soil horizons", "Soil classification"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock", "position": "post-doc", "roles": ["author"], "phones": [{"value": "+49 381 498 3184"}], "emails": [{"value": "karen.baumann@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - 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": "University of Rostock", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "Soil profiles"}, {"id": "Soil horizons"}, {"id": "Soil classification"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=5315bd7b-27d3-40cf-a957-74862abe8798", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4031_WP_2_4_PROFILES/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4031_WP_2_4_PROFILES/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4031_WP_2_4_PROFILES/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/ID_4031_WP_2_4_PROFILES/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Inno_9_Dummerstorf.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "5315bd7b-27d3-40cf-a957-74862abe8798", "name": "item", "description": "5315bd7b-27d3-40cf-a957-74862abe8798", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5315bd7b-27d3-40cf-a957-74862abe8798"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "5c301e97-9662-4f77-aa2d-48facd3c9e14", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -56.0], [-180.0, 84.0], [180.0, 84.0], [180.0, -56.0], [-180.0, -56.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:51", "type": "Dataset", "language": "eng", "title": "SoilGrids250m 2017-03 - Predicted WRB 2006 subgroup classes", "description": "Predicted WRB 2006 subgroup classes (as integers) predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE')", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["soil classification", "digital soil mapping", "Soil science", "Global"], "contacts": [{"name": "Bas Kempen", "organization": "ISRIC - World Soil Information", "position": "Soil mapping specialist", "roles": ["Principal investigator"], "phones": [{"value": null}], "emails": [{"value": "bas.kempen@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/TAXNWRB_250m_ll.tif", "name": "Download GeoTIFF at depth", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.1371/journal.pone.0169748", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/soilgrids/faq-soilgrids-2017", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sg250m/90.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "5c301e97-9662-4f77-aa2d-48facd3c9e14", "name": "item", "description": "5c301e97-9662-4f77-aa2d-48facd3c9e14", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5c301e97-9662-4f77-aa2d-48facd3c9e14"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "2015-12-01T00:00:00Z"]}}, {"id": "65429343-4283-4a97-a630-d8105a686c33", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2025-02-05T09:48:15", "type": "Dataset", "language": "eng", "title": "Soil Dataset for Pedotransfer Function Development (IGBP-DIS)", "description": "This uniform soil data set for the development of pedotransfer functions was developed at the request of the Global Soil Data Task (GSDT) of the Data and Information System (DIS) of the International Geosphere Biosphere Programme (IGBP). \n\nThe necessary chemical and physical soil data have been derived from ISRIC's Soil Information System (ISIS) and the soil CD-ROM of the Natural Resources Conservation Service (USDA-NRCS). \n\nAnalytical data were clustered into functional groups based on soil textural class (FAO) and calculated activity of the clay size minerals. Samples from organic and allophanic soils were flagged as separate categories. The file contain analytical data for 131,472 soil samples, originating from 20,920 profiles. Being based on available data, there are several gaps in the measured data", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic carbon", "bulk density", "soil classification", "soil depth", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Global"], "contacts": [{"name": "Piet Tempel", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["custodian"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "denominator": "1000000"}, "links": [{"href": "https://files.isric.org/public/other/IGBP-DIS_PTFset.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://library.wur.nl/WebQuery/wurpubs/fulltext/287417", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "http://www.igbp.net/about.4.6285fa5a12be4b403968000417.html", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/IGBP-DIS_PTFset.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": "65429343-4283-4a97-a630-d8105a686c33", "name": "item", "description": "65429343-4283-4a97-a630-d8105a686c33", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/65429343-4283-4a97-a630-d8105a686c33"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "1995-01-01T00:00:00Z"]}}, {"id": "6e7f23c6-ec5e-42d1-bf3f-67f0fe5fdc42", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -56.0], [-180.0, 84.0], [180.0, 84.0], [180.0, -56.0], [-180.0, -56.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2021-07-14T11:51:43", "type": "Dataset", "language": "eng", "title": "SoilGrids250m 2017-03 - Predicted probability WRB 2006 subgroup classes", "description": "Predicted probability in percent per class predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: probability. Legend: 1: \"Haplic Acrisols\", 2: \"Haplic Acrisols (Alumic)\", 3: \"Haplic Acrisols (Ferric)\", 4: \"Haplic Acrisols (Humic)\", 5: \"Plinthic Acrisols\", 6: \"Vetic Acrisols\", 7: \"Haplic Albeluvisols\", 8: \"Histic Albeluvisols\", 9: \"Umbric Albeluvisols\", 10: \"Cutanic Alisols\", 11: \"Haplic Alisols\", 12: \"Aluandic Andosols\", 13: \"Haplic Andosols\", 14: \"Vitric Andosols\", 15: \"Albic Arenosols\", 16: \"Ferralic Arenosols\", 17: \"Haplic Arenosols\", 18: \"Haplic Arenosols (Calcaric)\", 19: \"Hypoluvic Arenosols\", 20: \"Protic Arenosols\", 21: \"Haplic Calcisols\", 22: \"Haplic Calcisols (Sodic)\", 23: \"Luvic Calcisols\", 24: \"Petric Calcisols\", 25: \"Endogleyic Cambisols\", 26: \"Ferralic Cambisols\", 27: \"Haplic Cambisols\", 28: \"Haplic Cambisols (Calcaric)\", 29: \"Haplic Cambisols (Chromic)\", 30: \"Haplic Cambisols (Dystric)\", 31: \"Haplic Cambisols (Eutric)\", 32: \"Haplic Cambisols (Humic)\", 33: \"Haplic Cambisols (Sodic)\", 34: \"Leptic Cambisols\", 35: \"Vertic Cambisols\", 36: \"Calcic Chernozems\", 37: \"Haplic Chernozems\", 38: \"Luvic Chernozems\", 39: \"Haplic Cryosols\", 40: \"Turbic Cryosols\", 41: \"Vitric Cryosols\", 42: \"Petric Durisols\", 43: \"Acric Ferralsols\", 44: \"Haplic Ferralsols\", 45: \"Haplic Ferralsols (Rhodic)\", 46: \"Haplic Ferralsols (Xanthic)\", 47: \"Umbric Ferralsols\", 48: \"Haplic Fluvisols\", 49: \"Haplic Fluvisols (Arenic)\", 50: \"Haplic Fluvisols (Calcaric)\", 51: \"Haplic Fluvisols (Dystric)\", 52: \"Haplic Fluvisols (Eutric)\", 53: \"Calcic Gleysols\", 54: \"Haplic Gleysols\", 55: \"Haplic Gleysols (Dystric)\", 56: \"Haplic Gleysols (Eutric)\", 57: \"Mollic Gleysols\", 58: \"Umbric Gleysols\", 59: \"Calcic Gypsisols\", 60: \"Haplic Gypsisols\", 61: \"Calcic Histosols\", 62: \"Cryic Histosols\", 63: \"Fibric Histosols\", 64: \"Hemic Histosols\", 65: \"Sapric Histosols\", 66: \"Calcic Kastanozems\", 67: \"Haplic Kastanozems\", 68: \"Haplic Leptosols\", 69: \"Haplic Leptosols (Eutric)\", 70: \"Lithic Leptosols\", 71: \"Mollic Leptosols\", 72: \"Rendzic Leptosols\", 73: \"Haplic Lixisols\", 74: \"Haplic Lixisols (Chromic)\", 75: \"Haplic Lixisols (Ferric)\", 76: \"Albic Luvisols\", 77: \"Calcic Luvisols\", 78: \"Gleyic Luvisols\", 79: \"Haplic Luvisols\", 80: \"Haplic Luvisols (Chromic)\", 81: \"Haplic Luvisols (Ferric)\", 82: \"Leptic Luvisols\", 83: \"Stagnic Luvisols\", 84: \"Vertic Luvisols\", 85: \"Alic Nitisols\", 86: \"Haplic Nitisols (Rhodic)\", 87: \"Haplic Phaeozems\", 88: \"Leptic Phaeozems\", 89: \"Luvic Phaeozems\", 90: \"Endogleyic Planosols\", 91: \"Haplic Planosols (Dystric)\", 92: \"Haplic Planosols (Eutric)\", 93: \"Luvic Planosols\", 94: \"Solodic Planosols\", 95: \"Acric Plinthosols\", 96: \"Lixic Plinthosols\", 97: \"Gleyic Podzols\", 98: \"Haplic Podzols\", 99: \"Aric Regosols\", 100: \"Calcaric Regosols\", 101: \"Haplic Regosols (Dystric)\", 102: \"Haplic Regosols (Eutric)\", 103: \"Haplic Regosols (Sodic)\", 104: \"Leptic Regosols\", 105: \"Gypsic 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The land surface between longitudes -180o W and +180o E and latitudes +90o N and -90o S has been characterized using 45948 unique map units; each of these can comprise from one to ten soil units, characterized according to the original legend of the 1:5 million scale Soil Map of the World (FAO-Unesco 1974). \n\nSoil parameter estimates for each of these units were derived from analyses of some 9600 profiles held in a working copy of WISE (ver. 2.0). 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For soil drainage class, effective soil depth, and available water capacity (-10 to -1500 kPa), however, parameter estimates are presented on a profile basis.\n\nThe parameter estimates - median values - presented here should be seen as best estimates; possible types and sources of uncertainty are discussed in the report. The data are considered appropriate for exploratory studies at global scale (greater than 1:5 000 000). \n\nNote: A more recent assessment, at a resolution of 30arcsec (WISE30sec), is available at: http://data.isric.org/geonetwork/srv/eng/catalog.search#/metadata/dc7b283a-8f19-45e1-aaed-e9bd515119bc", "formats": [{"name": "zip"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["calcium", "carbon", "cation exchange capacity", "electrical conductivity", "nitrogen", "organic carbon", "bulk density", "soil classification", "soil depth", "soil profiles", "pH", "salinity", "texture", "water holding capacity", "nutrients", "Soil science", "Global"], "contacts": [{"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Data info desk", "organization": "ISRIC - World Soil Information (WDC - Soils)", "position": null, "roles": ["resourceProvider"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "arc-minutes"}, "links": [{"href": "https://files.isric.org/public/wise/wise_30min_v3.zip", "name": "Download", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://www.isric.org/projects/world-inventory-soil-emission-potentials-wise", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://library.wur.nl/WebQuery/wurpubs/fulltext/286181", "name": "Report", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/wise/wise_30min_v3.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": "d9eca770-29a4-4d95-bf93-f32e1ab419c3", "name": "item", "description": "d9eca770-29a4-4d95-bf93-f32e1ab419c3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d9eca770-29a4-4d95-bf93-f32e1ab419c3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1995-08-01T00:00:00Z", "2005-12-01T00:00:00Z"]}}, {"id": "e0eacf2c-ada1-469a-a735-41cb268989cb", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -56.0], [-180.0, 84.0], [180.0, 84.0], [180.0, -56.0], [-180.0, -56.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2021-07-14T11:52:12", "type": "Dataset", "language": "eng", "title": "SoilGrids250m 2017-03 - Predicted USDA 2014 suborder classes", "description": "Predicted USDA 2014 suborder classes (as integers) predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE')", "formats": [{"name": "GTiff"}, {"name": "WWW:DOWNLOAD-1.0-ftp--download"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["soil classification", "digital soil mapping", "Soil science", "Global"], "contacts": [{"name": "Bas Kempen", "organization": "ISRIC - World Soil Information", "position": "Soil mapping specialist", "roles": ["Principal investigator"], "phones": [{"value": null}], "emails": [{"value": "bas.kempen@wur.nl"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "250", "distanceuom": "m"}, "links": [{"href": "https://files.isric.org/soilgrids/former/2017-03-10/data/TAXOUSDA_250m_ll.tif", "name": "Download GeoTIFF at depth", "protocol": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://doi.org/10.1371/journal.pone.0169748", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/soilgrids/faq-soilgrids-2017", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/sg250m/209.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "e0eacf2c-ada1-469a-a735-41cb268989cb", "name": "item", "description": "e0eacf2c-ada1-469a-a735-41cb268989cb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e0eacf2c-ada1-469a-a735-41cb268989cb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1950-01-01T00:00:00Z", "2015-12-01T00:00:00Z"]}}, {"id": "f41367e5-f4d2-4b73-81aa-a472730e1519", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-173.2, -78.5], [-173.2, 80.0], [178.5, 80.0], [178.5, -78.5], [-173.2, -78.5]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Global"}], "scheme": "Region"}], "updated": "2024-11-26T15:32:13", "type": "Dataset", "language": "eng", "title": "WoSIS latest - Profiles", "description": "Provides key information for all profiles (or point data) in WoSIS latest, including soil classification according to specified edition (year) of the World Reference Base for Soil Resources (WRB, up to qualifier level); FAO-Unesco Legend (up to soil unit level); USDA Soil Taxonomy (up to subgroup level). \n\nWoSIS_latest is a 'dynamic dataset' that contains the most recent complement of quality-assessed and standardised soil data served from WoSIS (ISRIC World Soil Information Service). The source data were shared by a wide range of data providers (see: https://www.isric.org/explore/wosis/wosis-contributing-institutions-and-experts).\n\nBeing dynamic, the contents of 'wosis_latest' will change once new point data are acquired, cleansed and standardised, additional soil properties are considered, and/or when possible amendments are required.\n\nStatic snapshots of 'wosis_latest' are released at irregular intervals for consistent citation purposes and to discuss methodological changes; the last snapshot is available at https://doi.org/10.5194/essd-16-4735-2024.\n\nFor general information about WoSIS please see the FAQ-page at https://www.isric.org/explore/wosis/faq-wosis.", "formats": [{"name": "CSV"}, {"name": "OGC:WFS"}, {"name": "WWW:LINK-1.0-http--related"}, {"name": "OGC:WMS"}], "keywords": ["soil profiles", "soil classification", "soil profiles", "Soil science", "Global"], "contacts": [{"name": "Luis de Sousa", "organization": "ISRIC - World Soil Information", "position": "Guest researcher", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "luis.deSousa@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Data infodesk", "organization": "ISRIC - World Soil Information", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "data@isric.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Niels Batjes", "organization": "ISRIC - World Soil Information", "position": "Senior Soil Scientist", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "niels.batjes@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}, {"name": "Luis Calisto", "organization": "ISRIC - World Soil Information", "position": "Database Expert", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "luis.calisto@isric.org"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "denominator": "100000"}, "links": [{"href": "https://maps.isric.org/mapserv?map=/map/wosis_latest.map", "name": ":wosis_latest_profiles", "description": "WoSIS latest - Profiles", "protocol": "OGC:WFS", "rel": "download"}, {"href": "https://doi.org/10.5194/essd-16-4735-2024", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://www.isric.org/explore/wosis/faq-wosis", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://maps.isric.org/mapserv?map=/map/wosis_latest.map", "name": "wosis_latest_profiles", "description": "WoSIS latest - Profiles", "protocol": "OGC:WMS", "rel": null}, {"href": "https://data.isric.org/geonetwork/srv/api/records/f41367e5-f4d2-4b73-81aa-a472730e1519/attachments/WoSIS%20latest%20-%20Profiles.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "f41367e5-f4d2-4b73-81aa-a472730e1519", "name": "item", "description": "f41367e5-f4d2-4b73-81aa-a472730e1519", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f41367e5-f4d2-4b73-81aa-a472730e1519"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1918-01-01T00:00:00Z", "2013-02-12T00:00:00Z"]}}, {"id": "906cdf90-8ee0-4e9f-b13a-68e2175810ef", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Soil profiles"}, {"id": "Soil horizons"}, {"id": "Soil classification"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "world reference base"}, {"id": "opendata"}], "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 BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos 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 BonaRes Module A-Project - InnoSoilPhos 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": "2022-04-08", "type": "Dataset", "created": "2020-03-31", "language": "eng", "title": "Lysimeter data Rostock: Soil profiles (Data collection, parent table)", "description": "The dataset contains soil profile data from three soil profiles from along a hill slope in Northern Germany. Monoliths of these profiles were later used in lysimeter experiments. Data describe the geographical position, soil- and substrate type as well as the horizon sequence of the three soil profiles. Further, they give the soil sampling depths which were used for soil parameter analyses. They are published in Baumann et al. 2020, Speciation and sorption of phosphorus in agricultural soil profiles of redoximorphic character, EGAH, doi: 10.1007/s10653-020-00561-y \n\nResearch area: Soil science\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess the P mobilization potential, three soil profiles with redoximorphic features were selected along a slight hill slope. Soil profiles were characterized according to the World Reference Base and the German Soil Classification System. Three depths for subsequent soil sampling were chosen. 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