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Databank Ondergrond Vlaanderen (DOV)", "organization": "Vlaamse Overheid - Databank Ondergrond Vlaanderen (DOV)", "position": "DOV-co\u00f6rdinator", "roles": ["distributor"], "phones": [{"value": "+32 9 240 75 93"}], "emails": [{"value": "dov@vlaanderen.be"}], "addresses": [{"deliveryPoint": ["Technologiepark 68"], "city": "Zwijnaarde", "administrativeArea": "Oost-Vlaanderen", "postalCode": "9052", "country": "Belgium"}], "links": [{"href": {"url": "https://www.dov.vlaanderen.be/geoserver", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wms?SERVICE=WMS&version=1.3.0&request=GetCapabilities", "name": "carbon_1000", "description": "WMS-capabilities Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "OGC:WMS-1.3.0-http-get-capabilities", "rel": null}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wms/kml?layers=carbon_1000", "name": "carbon_1000", "description": "KML Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "GLG:KML-2.0-http-get-map", "rel": null}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wms?SERVICE=WMS&version=1.3.0&request=GetMap", "name": "carbon_1000", "description": "WMS-map Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wms?", "name": "carbon_1000", "description": "WMS-endpoint Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "OGC:WMS", "rel": null}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wcs?SERVICE=WCS&version=1.1.1&request=GetCapabilities", "name": "organische_koolstof:carbon_1000", "description": "WCS-capabilities Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "OGC:WCS-1.1.1-http-get-capabilities", "rel": "download"}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wcs?SERVICE=WCS&version=1.1.1&request=GetCoverage", "name": "carbon_1000", "description": "WCS-coverage Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "OGC:WCS-1.1.1-http-get-coverage", "rel": "download"}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wcs?", "name": "carbon_1000", "description": "WCS-endpoint Soil Organic Carbon Stock Maps for Belgium: mean (1 km grid)", "protocol": "OGC:WCS", "rel": "download"}, {"href": "https://www.dov.vlaanderen.be/bodemverkenner", "name": "DOV bodemverkenner applicatie", "description": "Link naar DOV bodemverkenner applicatie", "protocol": "WWW:LINK-1.0-http--related", "rel": null}, {"href": "https://www.dov.vlaanderen.be/geoserver/organische_koolstof/wms?layers=carbon_1000", "name": "carbon_1000", "description": "The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a finer resolution (10m x 10m and 40m x 40m grid cells). Next they were joined (40m x 40m grid cells) and finally scaled up to the required 1 by 1 km grid cells. This was done using the following tools: block statistics (mean), mosaic to new raster (mean), project to raster, block statistics (mean), resample (nearest neighbour) and project raster.\nGiven the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables \"bulk density\".\nThe SOC stock maps are the first comprehensive map for Belgium integrating grasslands, croplands and forests. There are two versions of the SOC stock maps for Belgium: 1) resolution of 40m x 40m in the coordinate reference system Lambert72 and 2) resolution of 1km x 1km in the coordinate reference system WGS84. The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps.", "protocol": "ogc:wms", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Belgium/37aaa10d-50bd-431e-b924-209c2e88.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "37aaa10d-50bd-431e-b924-209c2e88b9d7", "name": "item", "description": "37aaa10d-50bd-431e-b924-209c2e88b9d7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/37aaa10d-50bd-431e-b924-209c2e88b9d7"}, {"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": "3d9638-3043-507b-bd62-8cb982a96e6a", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "France"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "organic carbon"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "28-5-2015", "type": "Dataset", "created": "28-5-2015", "language": "fre", "title": "Carbon content map by canton", "description": "Map of carbon contents by canton. The analyzes come from the Earth Analysis Database (BDAT).", "formats": [{"name": "ogc:wms"}, {"name": "canonical"}], "keywords": ["soil type", "basic soil properties", "National", "MensMeu", "France", "organic carbon"], "contacts": [{"name": null, "organization": null, "position": null, "roles": ["distributor"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": "None", "country": null}], "links": [{"href": {"url": "http://geoserver.org", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marion Bardy", "organization": "INRA InfoSol", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "infosol@orleans.inra.fr"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": "France"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}]}, "links": [{"href": "https://agroenvgeo.data.inra.fr/geoserver/gissol_bdat/wms?", "name": "teneur_carbone_bdat", "description": "Carte des teneurs en Carbone par canton issues des donn\u00e9es de la Base de donn\u00e9es d'analyses de terre (BDAT) pour la p\u00e9riode 2000-2004. Ces donn\u00e9es n'utilisent pas toutes les analyses de la BDAT. Pour des donn\u00e9es plus r\u00e9centes, consulter l'application https://webapps.gissol.fr/geosol/. Les analyses proviennent de la Base de Donn\u00e9es des Analyses de Terre (BDAT).Le programme Base de Donn\u00e9es des Analyses de Terre (BDAT) regroupe depuis vingt ans les r\u00e9sultats d'analyses d'horizons de surface de sols cultiv\u00e9s, effectu\u00e9es sur l'ensemble du territoire national, \u00e0 la demande d'agriculteurs, par des laboratoires agr\u00e9\u00e9s par le Minist\u00e8re en charge de l'agriculture. Cet article a pour objectif de pr\u00e9senter les derniers r\u00e9sultats produits par ce programme. Il aborde successivement la pr\u00e9sentation de l'organisation du programme, des d\u00e9veloppements m\u00e9thodologiques connexes et des principaux r\u00e9sultats sur le statut et l'\u00e9volution des propri\u00e9t\u00e9s des horizons de surface des sols cultiv\u00e9s. A ce jour, la BDAT recense 22 830 147 r\u00e9sultats analytiques provenant de 1 962 238 \u00e9chantillons r\u00e9colt\u00e9s sur la p\u00e9riode 1990-2009. L'analyse de ces donn\u00e9es permet par exemple de mettre en \u00e9vidence \u00e0 l'\u00e9chelle nationale une forte h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 spatiale de la richesse en phosphore assimilable, des baisses des teneurs en carbone des sols initialement les plus pourvus et d'une hausse g\u00e9n\u00e9ralis\u00e9e des pH des sols non calcaires. Cependant, les biais statistiques inh\u00e9rents \u00e0 la strat\u00e9gie d'\u00e9chantillonnage adopt\u00e9e peuvent \u00eatre importants et difficilement quantifiables. Des pr\u00e9cautions doivent \u00eatre prises pour interpr\u00e9ter les r\u00e9sultats issus d'analyses d'une telle base de donn\u00e9es. Cependant, le programme BDAT constitue une source d'informations importante sur la variabilit\u00e9 des propri\u00e9t\u00e9s des horizons de surface des sols cultiv\u00e9s et les r\u00e9sultats statistiques agr\u00e9g\u00e9s sont aujourd'hui librement disponibles sur internet (http://bdat.gissol.fr).", "protocol": "ogc:wms", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/France/3d9638-3043-507b-bd62-8cb982a96e.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "3d9638-3043-507b-bd62-8cb982a96e6a", "name": "item", "description": "3d9638-3043-507b-bd62-8cb982a96e6a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3d9638-3043-507b-bd62-8cb982a96e6a"}, {"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": "DADB8BB6-4A7A-4CB7-908D-EA0767B068D7", "type": "Feature", "geometry": null, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Germany"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "texture"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "2017", "type": "Dataset", "created": "01-01-19-6-2017", "language": "ger", "title": "Properties of soils in Germany", "description": "The soil type describes the size of the mineral particles. 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A ce jour, la BDAT recense 22 830 147 r\u00e9sultats analytiques provenant de 1 962 238 \u00e9chantillons r\u00e9colt\u00e9s sur la p\u00e9riode 1990-2009. L'analyse de ces donn\u00e9es permet par exemple de mettre en \u00e9vidence \u00e0 l'\u00e9chelle nationale une forte h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 spatiale de la richesse en phosphore assimilable, des baisses des teneurs en carbone des sols initialement les plus pourvus et d'une hausse g\u00e9n\u00e9ralis\u00e9e des pH des sols non calcaires. Cependant, les biais statistiques inh\u00e9rents \u00e0 la strat\u00e9gie d'\u00e9chantillonnage adopt\u00e9e peuvent \u00eatre importants et difficilement quantifiables. Des pr\u00e9cautions doivent \u00eatre prises pour interpr\u00e9ter les r\u00e9sultats issus d'analyses d'une telle base de donn\u00e9es. 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In die Karte flie\u00dfen bodenkundliche Kennwerte (K-Faktor) aus der nutzungsdifferenzierten Boden\u00fcbersichtskarte von Deutschland 1:1.000.000 (B\u00dcK1000N), morphologische Kennwerte (S-Faktor) aus dem DGM50 des Bundesamtes f\u00fcr Kartographie und Geod\u00e4sie (BKG) und klimatischen Kennwerte (R-Faktor) aus den Niederschlagsdaten des Deutschen Wetterdienstes (DWD) f\u00fcr den Zeitraum 1961\u20131990 ein. Die Ackerstandorte werden aus dem Landnutzungsdatensatz CORINE Land Cover von 2006 gewonnen.", "protocol": "ogc:wms", "rel": null}, {"href": "https://download.bgr.de/bgr/Boden/PEGWASSER1000/tiff300/pegwasser1000_250_v10.zip", "name": "TIFF", "protocol": "application/tiff", "rel": null}, {"href": "https://github.com/ejpsoil/ejpsoildatahub/tree/main/datasets/mensmeu/Germany/876F61A9-36C0-4CDD-9FC1-C243685B.yml", "name": "Source of the record", "protocol": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "876F61A9-36C0-4CDD-9FC1-C243685BC1E8", "name": "item", "description": "876F61A9-36C0-4CDD-9FC1-C243685BC1E8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/876F61A9-36C0-4CDD-9FC1-C243685BC1E8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-06-30T00:00:00Z"}}, {"id": "Bodenaciditaet", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.99, 47.3], [5.99, 54.98], [15.02, 54.98], [15.02, 47.3], [5.99, 47.3]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "National"}], "scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope"}, {"concepts": [{"id": "MensMeu"}], "scheme": "Source"}, {"concepts": [{"id": "Germany"}], "scheme": "http://publications.europa.eu/resource/authority/country"}, {"concepts": [{"id": "pH"}], "scheme": "http://aims.fao.org/aos/agrovoc/c_330883"}], "updated": "30-11-2011", "type": "Dataset", "created": "30-11-2011", "language": "ger", "title": "Soil acidity", "description": "Map of soil acidity  (pH KCL 0 - 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The map, was printed by S.EL.CA. of Florence. The map is an informative and educational work of general scientific interest, which updates the previous one edited by prof. Fiorenzo Mancini and collaborators in 1966 both in terms of knowledge and of the adopted methods. It was produced processing of all data within a geographical and soil geodatabase, collected by the CREA-ABP and other institutions collaborating in over ten years of work and using the latest international methods. The soil map shows the distribution of major soils in the country and constitutes a milestone in the process launched in 1999 as part of the project the Soil Map of Italy at a scale of 1:250,000, funded by MIPAAF and implemented in collaboration with the regional institutions. Both broad soil regions and soil provinces (reference scale 1:10,000,000 and 1:1,000,000) are reported. \nMost small-scale soil maps report dominant typological units and allow only a partial appraisal of pedodiversity since territories with similar dominant soils can actually possess different pedodiversity. This is particularly true at the national scale, where a great wealth of soil information collected at more detailed scales is generalized.\nA methodology was set up, which aimed at preserving pedodiversity in upscaling soil maps by using geomatic techniques and the World Reference Base for soil resources (WRB). The main source of information was the soil system geodatabase of Italy, storing information of soil typological units and soilscapes at the 1:500,000 reference scale. Qualitative aggregation of soil taxa followed upscaling rules aimed at (i) maintaining the information about pedogenetic processes and (ii) grouping soilscapes showing recurrent patterns of soil forming processes. 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{"href": "https://www.dov.vlaanderen.be/geoserver/dov-pub-aardewerk/wfs?SERVICE=WFS&version=2.0.0&request=GetFeature&count=1&typeName=vw_profiel", "name": "vw_profiel", "description": "WFS-feature Bodemprofielen kartering Belgische bodemkaart", "protocol": "OGC:WFS-2.0.0-http-get-feature", "rel": "download"}, {"href": "https://www.dov.vlaanderen.be/geoserver/dov-pub-aardewerk/wms?layers=vw_profiel", "name": "vw_profiel", "description": "De dataset 'Bodemprofielen kartering Belgische bodemkaart' bevat de relevantste informatie van alle bodemprofielen  uit de Aardewerk-Vlaanderen-2010 databank. 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