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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 Th\u00fcnen Institute's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the Th\u00fcnen Institute and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the Th\u00fcnen Institute 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 Th\u00fcnen Institute and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2020-09-16", "type": "Dataset", "created": "2020-01-20", "language": "eng", "title": "First German Agricultural Soil Inventory \u2013 Core dataset: HORIZON DATA", "description": "The Federal Republic of Germany is obliged to report all anthropogenic sources and sinks of greenhouse gases on a national scale. Changes in soil organic carbon (SOC) stocks are among these sources and sinks. Furthermore, soil organic matter is a key indicator of soil fertility. The Th\u00fcnen Institute of Climate-Smart Agriculture was commissioned by the German Federal Ministry of Food and Agriculture to conduct the first German agricultural soil inventory and obtain a first representative and consistent baseline of SOC stocks in agricultural soils across Germany. Potential explanatory variables were also assessed. Between 2009 and 2018, a total of 3104 field sites were sampled in a 8x8 km grid (Jacobs et al., 2018). The dataset contains the key data (laboratory and field) of the first German agricultural soil inventory. It consists of three parts with associated readme-files, which explain the data: LABORATORY_DATA.xlsx: This file contains all relevant laboratory results. SITE.xlsx: This file contains the most important general information on the sampled sites. HORIZON_DATA.xlsx: This file contains the soil profile description as determined in the field with several key horizon parameters. In SITE.xlsx and HORIZON_DATA.xlsx, several parameters were determined using the German soil description guidelines (Ad-Hoc-Ag Boden, 2005) and are not explained here in detail. Single parameters, such as soil texture class or carbonate content class/ carbonate content are given in LABORATORY_DATA.xlsx and HORIZON_DATA.xlsx and can slightly deviate due to different methodologies (Estimation of soil scientist vs. laboratory analysis). Methodological details can be found in the Th\u00fcnen Report 64. References Ad-Hoc-Ag Boden (2005) Bodenkundliche Kartieranleitung. E.Schweizerbart'sche Verlagsbuchhandlung, Hannover. Jacobs, A., Flessa, H., Don, A., Heidkamp, A., Prietz, R., Dechow, R., Gensior, A., Poeplau, C., Riggers, C. & Schneider, F. (2018) Landwirtschaftlich genutzte B\u00f6den in Deutschland: Ergebnisse der Bodenzustandserhebung. Th\u00fcnen Report 64.\n\nResearch domain: Soil Sciences\n\nResearch question: What is the condition of agricultural soils in Germany, especially with regard to stocks of soil organic carbon?\n\nThis dataset is available in Open Agrar.", "keywords": ["Soil", "opendata", "Boden", "Monitoring", "Kohlenstoff", "Stickstoff", "Humus", "Bodenfruchtbarkeit", "pH-Wert", "Carbonat", "Bodenprofil", "Probenahme", "Raster", "Ackerland", "Gr\u00fcnland", "organisch", "Organische Bodensubstanz", "Lagerungsdichte", "Feinbodenvorrat", "Korngr\u00f6\u00dfenverteilung", "Karbonat", "Pedogene Oxide", "Bodenprofil", "Raster", "Acker", "Gr\u00fcnland", "Sonderkultur", "Landnutzung", "LULUCF", "organic", "organic matter", "soil fertility", "fine soil stock", "pedogenic oxides", "soil profile", "grid", "special permanent crop", "land use"], "contacts": [{"name": "Poeplau, Christopher", "organization": "Johann Heinrich von Th\u00fcnen-Institut", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 531 596 2679"}], "emails": [{"value": "christopher.poeplau@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 68"], "city": "Braunschweig", "administrativeArea": "Niedersachsen", "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Don, Axel", "organization": "Johann Heinrich von Th\u00fcnen-Institut", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 531 596 2641"}], "emails": [{"value": "axel.don@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 68"], "city": "Braunschweig", "administrativeArea": "Niedersachsen", "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Flessa, Heinz", "organization": "Johann Heinrich von Th\u00fcnen-Institut", "position": "Scientist", "roles": ["projectLeader"], "phones": [{"value": "+49 531 596 2601"}], "emails": [{"value": "heinz.flessa@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 65"], "city": "Braunschweig", "administrativeArea": "Niedersachsen", "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Heidkamp, Arne", "organization": "Johann Heinrich von Th\u00fcnen-Institut", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 531 596 2672"}], "emails": [{"value": "arne.heidkamp@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 35A"], "city": "Braunschweig", "administrativeArea": "Niedersachsen", "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Jacobs, Anna", "organization": "Johann Heinrich von Th\u00fcnen-Institut", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 531 596 1112"}], "emails": [{"value": "anna.jacobs@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 49"], "city": "Braunschweig", "administrativeArea": "Niedersachsen", "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Prietz, Roland", "organization": "Johann Heinrich von Th\u00fcnen-Institut", "position": "Scientist", "roles": ["author"], "phones": [{"value": "+49 531 596 2714"}], "emails": [{"value": "roland.prietz@thuenen.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 68"], "city": "Braunschweig", "administrativeArea": "Niedersachsen", "postalCode": "38116", "country": "Germany"}], "links": [{"href": null}]}, {"name": "OA", "organization": "Open Agrar Repositorium", "position": null, "roles": ["publisher"], "phones": [{"value": null}], "emails": [{"value": "IB@julius-kuehn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://www.re3data.org/", "protocol": null, "protocol_url": "", "name": "http://doi.org/10.17616/R3XF45", "name_url": "", "description": "re3data", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Johann Heinrich von 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"Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:22:51Z", "type": "Dataset", "title": "geoSABINA: Environmental variables", "description": "This dataset provides environmental variables from Spain, selected for their relevance in modeling the distribution of plant species. However, they can also be applied to other species and purposes. It includes a total of 103 raster layers in tif format at 250-meter resolution. The detailed list of layers available is provided in data_table_env_variables.csv, which includes information on the category, dataset, description, resolution, time period, and path.  This dataset includes:\u00a0\u00a0    \u00a0Climatic variables: 19 bioclimatic variables under current (1990-2010) and 4 future (2071-2100) climate scenarios. Climatic variables were sourced from the climatologies for the Earth\u2019s Land Surface Areas (CHELSA) and downscaled to 250 m in https://doi.org/10.1111/ecog.07328. The future scenarios were generated according two global climate models [the latest Institute Pierre Simon Laplace climate model (IPSL_CM6A_LR) and the Meteorological Research Institute Earth System Model version 2.0 (MRI_ESM2)] and two socio-economic pathways: an optimistic low greenhouse gas emissions scenario (SSP126) and a pessimistic high emissions scenario (SSP585). The climatic variables of each scenario are compressed within a zip file.  Edaphic variables: Four soil characteristics (pH, nitrogen, sand content, organic carbon) at 0 to 5 cm depth sourced from SoilGrids. The four edaphic variables are compressed within a zip file.  Hydrologic variables: Three hydrologic variables (distance to rivers, flow accumulation, and topographic index) derived from the digital elevation model DAT-193-en (Copernicus Land Cover Service)\u00a0in https://doi.org/10.1111/ecog.07328. \u00a0  Solar radiation:\u00a0\u00a0Annual solar exposure values calculated from the digital elevation model DAT-193-en \u00a0in https://doi.org/10.1111/ecog.07328.\u00a0   Raster information:    Resolution: 250 m  Extent: -75888.32, 1031611.68, 3977269.52, 4870519.52 (xmin, xmax, ymin, ymax)  CRS: WGS 84 / UTM Zone 30N (EPSG:32630)   References: The references in this list should be added to any publication using these data:    Goicolea, T., Morales-Barbero, J., Garc\u00eda-Vi\u00f1as, J.I, Gast\u00f3n, A., Aroca-Fern\u00e1ndez, M.J., Calleja, J.A., Moren, J.C. , Ramos-Guti\u00e9rrez, I., Rodr\u00edguez, M.A., Lima, H., Broennimann, O., Guisan, A, Adde, A., P\u00e9rez-Latorre, A.V., G. Mateo, R. (2025) Scientific Data.  Goicolea, T., Adde, A., Broennimann, O., Garc\u00eda-Vi\u00f1as, J.I., Gast\u00f3n, A., Aroca-Fern\u00e1ndez, M.J. et al. (2024). Spatially-Nested Hierarchical Species Distribution Models to Overcome Niche Truncation in National-Scale Studies. Ecography. https://doi.org/10.1111/ecog.07328", "keywords": ["hydrologic", "climate projections", "Spain", "solar radiation", "spatial data", "raster", "covariates", "edaphic", "climate", "environmental variables"], "contacts": [{"organization": "Goicolea, Teresa, Morales-Barbero, Jennifer, Mateo, Rub\u00e9n G.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14583868"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14583868", "name": "item", "description": "10.5281/zenodo.14583868", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14583868"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/SQI3IR", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:24:38Z", "type": "Dataset", "title": "GMCSD-1. Global Mangrove Carbon, 2000 and 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 and 2012, 1 Arc-Second, 1 m Soil, low, mid, high, EQ1, EQ2, EQ3, EQ4, EQ5.  <p> These are large file and we needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no Tiffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/SQI3IR"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/SQI3IR", "name": "item", "description": "10.7910/DVN/SQI3IR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/SQI3IR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/T8CMAT", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-29T16:24:38Z", "type": "Dataset", "created": "2016-02-28", "title": "GMCSD-2. Global Mangrove Carbon, 2000 to 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 to 2012, 1 Arc-Second, 1 m Soil, mid, EQ5.  <p> Annual stocks.  <p> Each of these 13 years is 3TB when extracted. So that is 39 TB as a tif. <p> We needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no TIffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/T8CMAT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/T8CMAT", "name": "item", "description": "10.7910/DVN/T8CMAT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/T8CMAT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "612da9ed9119592250ef6a59", "type": "Feature", "geometry": null, "properties": {"updated": "2023-01-20T16:35:27Z", "type": "Dataset", "title": "Geographic Repository \u2014 Orthophotography MNT (vector) 2013 \u2014 Grand Poitiers Reference Data", "description": "The Digital Land Model (MNT) is a 3D representation of the soil surface, created from soil altitude data after filtering points inherent in vegetation classes or buildings on the right-of-way of the Grand Poitiers territory.", "formats": [{"name": "GEOJSON"}], "keywords": ["altitude", "batiments", "carte", "courbes-de-niveau", "donnees-ouvertes", "fr", "grid", "image", "mnt", "modele", "raster", "sol", "terrain", "vegetation"], "contacts": [{"organization": "https://www.data.gouv.fr/organizations/54da1f52c751df59f7467389/", "roles": ["publisher"]}]}, "links": [{"href": "https://data.grandpoitiers.fr/explore/dataset/referentiel-geographique-orthophotographie-mnt-vecteur-grand-poitiers-donnees-de/"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/19a6c609-7349-4d0c-8b83-aed4a0372630"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/26ddb8ee-9619-4892-9872-e82d39cfdc65"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/9b9b302f-223f-40ed-aebe-c2aefe2c5574"}, {"href": "http://data.europa.eu/88u/dataset/612da9ed9119592250ef6a59"}, {"rel": "self", "type": "application/geo+json", "title": "612da9ed9119592250ef6a59", "name": "item", "description": "612da9ed9119592250ef6a59", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/612da9ed9119592250ef6a59"}, {"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": "612da9f4a86bb8b7b6ef6a5c", "type": "Feature", "geometry": null, "properties": {"updated": "2022-02-03T00:00:00", "type": "Dataset", "title": "Geographic Repository \u2014 Orthophotography MNT (vector) 2016 \u2014 Grand Poitiers Reference Data", "description": "The Digital Land Model (MNT) is a 3D representation of the soil surface, created from soil altitude data after filtering points inherent in vegetation classes or buildings on the right-of-way of the Grand Poitiers territory.", "formats": [{"name": "CSV"}], "keywords": ["altitude", "batiments", "carte", "courbes-de-niveau", "donnees-ouvertes", "fr", "grid", "image", "mnt", "modele", "raster", "referentiels-geographiques", "sol", "terrain", "vegetation"], "contacts": [{"organization": "https://www.data.gouv.fr/organizations/54da1f52c751df59f7467389/", "roles": ["publisher"]}]}, "links": [{"href": "https://data.grandpoitiers.fr/explore/dataset/referentiel-geographique-orthophotographie-mnt-vecteur-2016-grand-poitiers-donne/"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/083316a2-7f26-408a-920c-39723699cf26"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/18f95eee-178f-4885-8e05-4270b4d4cd3f"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/b68df50e-0891-4705-b00f-7312c888b500"}, {"href": "https://www.data.gouv.fr/api/1/datasets/r/d068b22f-d881-4654-adba-a971cca846a4"}, {"href": "http://data.europa.eu/88u/dataset/612da9f4a86bb8b7b6ef6a5c"}, {"rel": "self", "type": "application/geo+json", "title": "612da9f4a86bb8b7b6ef6a5c", "name": "item", "description": "612da9f4a86bb8b7b6ef6a5c", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/612da9f4a86bb8b7b6ef6a5c"}, {"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": "bd4f6bf2-6622-4a16-a6c8-37326ebc9012", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.95, 45.81], [5.95, 47.81], [10.5, 47.81], [10.5, 45.81], [5.95, 45.81]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Relief"}, {"id": "Laser"}, {"id": "Vegetation"}, {"id": "H\u00f6he"}], "scheme": "GEMET"}, {"concepts": [{"id": "H\u00f6he"}], "scheme": "GEMET - 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