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5 datasets found
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WoSIS latest - Organic carbon N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Gravimetric content of organic carbon in the fine earth fraction* (g/kg). WoSIS_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:...Created October 25, 2023 • Updated April 17, 2024 -
WoSIS latest - Organic matter N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Gravimetric content of organic matter in the fine earth fraction (g/kg). (LOI). WoSIS_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:...Created April 17, 2024 • Updated April 17, 2024 -
SoilGrids250m 2.0 - Soil organic carbon density N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil organic carbon density in g/dm³ 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 -
SoilGrids250m 2.0 - Soil organic carbon stock N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil organic carbon stock in t/ha for 0-30 cm depth interval. 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 -
SoilGrids250m 2.0 - Soil organic carbon content N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Soil organic carbon content (fine earth fraction) in dg/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
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