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Africa SoilGrids nutrients - Total Phosphorus (P) 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...... |
ISRIC - World Soil Information | dataset | 2021/07/14 |
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Africa SoilGrids nutrients - Extractable Boron (B) Extractable Boron (B) 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...... |
ISRIC - World Soil Information | dataset | 2021/07/14 |
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Africa SoilGrids - Exchangeable aluminium (Al3+) 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....... |
ISRIC - World Soil Information | dataset | 2021/07/14 |
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down2earth The DOWN2EARTH project addresses the multi-faceted challenges of water scarcity and food insecurity under climate change within increasingly vulnerable rural populations in Horn of Africa Drylands. The Horn of Africa drylands (HAD) depend on seasonal...... |
Cardiff University | portal | 2023/03/06 |
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iSDAsoil: soil clay content (USDA system) for Africa predicted at 30 m resolution at 0-20 and 20-50 cm depths iSDAsoil dataset soil clay content (USDA system) in % predicted at 30 m resolution for 0–20 and 20–50 cm depth intervals. Data has been projected in WGS84 coordinate system and compiled as COG. Predictions have been generated using multi-scale...... |
EnvirometriX Innovative Solutions for Decision Agriculture Ltd (iSDA) MultiOne | dataset | 2024/02/05 |
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ISDA field-level soil map for Africa field-level soil map for Africa, with 20+ soil properties predicted at 30m resolution for the entire continent. The development process applies predictive machine learning technology using data from over 130,000 soil samples, much of it based on years...... |
None | dataset | 2022/12/13 |
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LEAP4FNSSA Project Database LEAP4FNSSA is a Coordination and Support Action (CSA) whose main objective is to engage European and African institutions in a Sustainable Partnership Platform for research and innovation on Food and Nutrition Security, and Sustainable Agriculture...... |
None | service | 2024/02/05 |
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Quasi-global satellite and observation based precipitation estimates over land, 1981 to near-real time The Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) data archive is a quasi-global (50S-50N), gridded 0.05 degree resolution, 1981 to near-real time precipitation time series. The terrestrial preciptation estimates, are available in...... |
UC Santa Barbara | dataset | 2017/10/26 |
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SoilGrids250m 2.0 - Bulk density Bulk density (fine earth) in cg/cm³ 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...... |
ISRIC - World Soil Information | dataset | 2021/11/18 |
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ISDA field-level soil map for Africa field-level soil map for Africa, with 20+ soil properties predicted at 30m resolution for the entire continent. The development process applies predictive machine learning technology using data from over 130,000 soil samples, much of it based on years...... |
None | service | 2022/12/13 |
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Laboratory and Farm Advisory Services Cropnuts was established in 1998 and started out as a small analytical laboratory in Kenya. In the last 20 years we have grown to become Africa’s leading laboratory for agricultural and environmental testing, providing a wide range of analytical...... |
Crop Nutrition Laboratory Services | service | 2023/08/08 |
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SoilGrids250m 2.0 - Bulk density aggregated 1000m Bulk density (fine earth) in cg/cm³ 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...... |
ISRIC - World Soil Information | dataset | 2022/02/07 |
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SoilGrids250m 2.0 - Coarse fragments volumetric aggregated 1000m Coarse fragments volumetric in cm3/dm3 (vol‰) 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...... |
ISRIC - World Soil Information | dataset | 2022/03/04 |
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SoilGrids250m 2.0 - Silt content aggregated 1000m Silt content (2-50/63 micro meter) mass fraction in ‰ 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...... |
ISRIC - World Soil Information | dataset | 2022/02/07 |
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SoilGrids250m 2.0 - Sand content aggregated 5000m Sand content (50/63-2000 micro meter) mass fraction in ‰ 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...... |
ISRIC - World Soil Information | dataset | 2022/02/07 |
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SoilGrids250m 2.0 - Coarse fragments volumetric aggregated 5000m Coarse fragments volumetric in cm3/dm3 (vol‰) 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...... |
ISRIC - World Soil Information | dataset | 2022/03/01 |
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SoilGrids250m 2.0 - Clay content aggregated 5000m Clay content (0-2 micro meter) mass fraction in ‰ 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....... |
ISRIC - World Soil Information | dataset | 2022/02/07 |
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SoilGrids250m 2.0 - Volumetric Water Content at 1500kPa aggregated 1000m Volumetric Water Content at 1500kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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...... |
ISRIC - World Soil Information | dataset | 2023/09/22 |
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SoilGrids250m 2.0 - Volumetric Water Content at 33kPa Volumetric Water Content at 33kPa in 10-3 cm3cm-3 (0.1 v% or 1 mm/m) 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...... |
ISRIC - World Soil Information | dataset | 2023/09/22 |
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SoilGrids250m 2.0 - Soil organic carbon content aggregated 1000m 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...... |
ISRIC - World Soil Information | dataset | 2022/02/07 |
380 results