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64 datasets found
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SOTER-based soil parameter estimates (SOTWIS) for Upper Tana river catchment,... N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates for the Upper Tana river catchment, Kenya. The data set was derived from the 1:250 000 scale Soil and Terrain Database for the Upper Tana (SOTER_UT, ver. 1.1; Dijkshoorn et al. 2011) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. The land...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Total Nitrogen (N) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total Nitrogen (N) content of the soil fine earth fraction in mg/kg (ppm) as measured according to the soil analytical procedure of wet oxidation and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the...Created October 25, 2023 • Updated October 25, 2023 -
Global distribution of soil phosphorus retention potential N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Limited availability of P in soils to crops may be due to deficiency and/or severe P retention. Earlier studies that drew on large soil profile databases have indicated that it is not (yet) feasible to present meaningful values for “plant-available” soil P, obtained according to comparable analytical methods, that may be linked to soil geographical...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Total nitrogen N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total nitrogen in cg/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. To visualize these layers please use www.soilgrids.org.Created October 25, 2023 • Updated October 25, 2023 -
WISE derived soil properties on a 5 by 5 arc-minutes global grid, version 1.2 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Version 1.2 of describes a harmonized dataset of derived soil properties for the world. It was created using the soil distribution shown on the 1:5 million scale FAO-Unesco Soil Map of the World (DSMW), rasterised at 5 by 5 arcminutes, and soil property estimates derived from the ISRIC-WISE soil profile database, version 3.1. The dataset considers 19 soil...Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database (SOTER) for Tunisia N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for Tunisia primary data (version 1.0), at scale 1:1 million (SOTER_Tunisia), was compiled of enhanced soil information within the framework of the FAO's program of Land Degradation Assessment in Drylands (LADA). A SOTER database was compiled based on the digital soil map of Tunisia. The primary soil and terrain data for...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Total Phosphorus (P) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total Phosphorus (P) content of the soil fine earth fraction in mg/kg (ppm) as measured according to unspecified analytical methods and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data from the Africa Soil...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Total nitrogen aggregated 1000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Total nitrogen in cg/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database (SOTER) for Upper Tana River Catchment, version 1.1 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for the Upper Tana River Catchment (version 1.1) (SOTER_UT_v1.1) at scale 1:250,000 was compiled to support the Green Water Credits (GWC) programme by creating a primary SOTER dataset for a hydrology assessment of the basin. The Kenya Soil Survey of the Kenya Agriculture Research Institute(KARI-KSS) and ISRIC-World Soil...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Exchangeable aluminium (Al3+) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Exchangeable aluminium (Al3+ measured in 1M KCl solution) in cmolc/kg (fine earth) at two depth intervals (0-20 cm and 20-50 cm) predicted using two sets of Africa soil profiles data. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus,...Created October 25, 2023 • Updated October 25, 2023 -
WISE derived soil properties on a 0.5 by 0.5 degree global grid, version 3.0 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized, gridded global data set of soil parameter estimates includes files listing: (1) soil parameter estimates for the component soil units of each terrestrial grid cell, in un-binned format, and (2) soil parameter estimates aggregated or binned into a number of predefined classes. The spatial data, with a resolution of ½ by ½ degree, was...Created October 25, 2023 • Updated October 25, 2023 -
Soil Dataset for Pedotransfer Function Development (IGBP-DIS) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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). The necessary chemical and physical soil data have been derived from ISRIC's Soil Information System (ISIS) and the...Created October 25, 2023 • Updated October 25, 2023 -
SOTER-based soil parameter estimates (SOTWIS) for Central Africa N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized set of soil parameter estimates for Central Africa, comprising Burundi, the Democratic Republic of the Congo and Rwanda, was derived from the Soil and Terrain Database for Central Africa (SOTERCAF ver. 1.0) and the ISRIC-WISE soil profile database, using standardized taxonomy-based pedotransfer (taxotransfer) procedures. The land surface...Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database (SOTER) for Nepal N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for Nepal primary data (version 1.0), at scale 1:1 million (SOTER_Nepal). SOTER_Nepal is generalized from the original Soils and Terrain database of Nepal at scale 1:50,000 compiled by FAO and Nepal's Survey Dept. The SOTER_Nepal database provides generalized information on landform and soil properties at a scale 1:1 million....Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids nutrients - Extractable Phosphorus (P) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Extractable Phosphorus (P) content of the soil fine earth fraction in mg/100kg (pp100m) as measured according to the soil analytical procedure of Mehlich 3 and spatially predicted for 0-30 cm depth interval at 250 m spatial resolution across sub-Saharan Africa using Machine Learning (ensemble between random forest and gradient boosting) using soil data...Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database (SOTER) for China N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrain database for China primary data (version 1.0), at scale 1:1 million (SOTER_China), was compiled of enhanced soil information within the framework of the FAO's program of Land Degradation Assessment in Drylands (LADA). The primary database was compiled using the SOTER methodology. The SOTER unit delineation was based on a raster format...Created October 25, 2023 • Updated October 25, 2023 -
WISE - Global Soil Profile Data, version 3.1 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Version 3.1 of the ISRIC-WISE database (WISE3) was compiled from a wide range of soil profile data collected by many soil professionals worldwide. All profiles have been harmonized with respect to the original Legend (1974) and Revised Legend (1988) of FAO-Unesco. Thereby, the primary soil data ─ and any secondary data derived from them ─ can be linked...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Exchangeable sodium (Na+) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Exchangeable sodium (Na+ measured in 1M NH4OAc buffered at pH 7 with part of the data converted from data measured according to Mehlich 3) in cmolc/kg (fine earth) at 2 depth intervals (0-20 cm and 20-50 cm) predicted using two Africa soil profiles datasets. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B....Created October 25, 2023 • Updated October 25, 2023 -
Soil and Terrain Database for Central Africa (SOTERCAF) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The Soil and Terrrain database of Central Africa (SOTERCAF, version 1.0) was compiled at scale 1:2 million for the Democratic Republic of Congo and at scale 1:1 million for Rwanda and Burundi. The SOTERCAF compilation has been a joint collaboration of the Soil Science Laboratory of the University of Ghent, Belgium and ISRIC - World Soil Information,...Created October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Exchangeable magnesium (Mg2+) N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Exchangeable magnesium (Mg2+ measured in 1M NH4OAc buffered at pH 7 with part of the data converted from data measured according to Mehlich 3) in cmolc/kg (fine earth) at 2 depth intervals (0-20 cm and 20-50 cm) predicted using two Africa soil profiles datasets. For details see published paper here below (Hengl T., G.B.M. Heuvelink, B. Kempen, J.G.B....Created October 25, 2023 • Updated October 25, 2023
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