Search datasets
13 datasets found
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WoSIS latest - Coarse fragments gravimetric total N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Gravimetric content of coarse fragments* in the whole soil (g/100g). 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 - Coarse fragments volumetric total N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric content of coarse fragments* in the whole soil (cm³/100cm³). 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 snapshot - December 2023 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The World Soil Information Service (WoSIS) provides quality-assessed and standardized soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the ‘WoSIS snapshot 2019’ many new soil data were shared with us, registered in the ISRIC data repository, and subsequently standardized in...Created April 17, 2024 • Updated April 17, 2024 -
WoSIS snapshot - July 2016 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The aim of the World Soil Information Service (WoSIS) is to serve quality-assessed, geo-referenced soil data (point, polygon, and grid) to the international community upon their standardisation and harmonisation. So far, the focus has been on developing procedures for legacy point data with special attention to the selection of soil analytical and...Created October 25, 2023 • Updated December 25, 2023 -
WoSIS snapshot - September 2019 N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)The World Soil Information Service (WoSIS) provides quality-assessed and standardised soil profile data to support digital soil mapping and environmental applications at broad scale levels. Since the release of the first ‘WoSIS snapshot’, in July 2016, many new soil data were shared with us, registered in the ISRIC data repository, and subsequently...Created October 25, 2023 • Updated December 25, 2023 -
Africa SoilGrids - Root zone coarse fragments content aggregated at ERZD N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric coarse fragments content (v%) of the soil whole earth, aggregated over the Effective Root Zone Depth for Maize, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
Africa SoilGrids - Coarse fragments N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric coarse fragments content (estimated in the field) in v% (m3/100m3) at 6 standard depths predicted using the Africa Soil Profiles Database (AfSP) v1.2. 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, L.T. Desta, J.E....Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Coarse fragments volumetric N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Coarse fragments volumetric 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. To visualize these layers please use www.soilgrids.org.Created October 25, 2023 • Updated October 25, 2023 -
WISE derived soil properties on a 30 by 30 arc-seconds global grid N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)This harmonized dataset of derived soil properties for the world (WISE30sec) is comprised of a soil-geographical and a soil attribute component. The GIS dataset was created using the soil map unit delineations of the broad scale Harmonised World Soil Database, version 1.21, with minor corrections, overlaid by a climate zones map (Köppen-Geiger) as...Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Coarse fragments volumetric aggregated 1000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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 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 -
Africa SoilGrids - Root zone coarse fragments content aggregated at top 30 cm N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Volumetric coarse fragments content (v%) of the soil whole earth, aggregated over rootable depth and the top 30 cm, mapped at 1km resolutionCreated October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2.0 - Coarse fragments volumetric aggregated 5000m N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)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 map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell.Created October 25, 2023 • Updated October 25, 2023 -
SoilGrids250m 2017-03 - Coarse fragments volumetric N3 | TTL | RDF/XML | JSON-LD
FDRE - Ministry of Agriculture (MoA)Coarse fragments volumetric in % at 7 standard depths predicted using the global compilation of soil ground observations. Accuracy assessement of the maps is availble in Hengl et at. (2017) DOI: 10.1371/journal.pone.0169748. Data provided as GeoTIFFs with internal compression (co='COMPRESS=DEFLATE'). Measurement units: v%.Created October 25, 2023 • Updated October 25, 2023
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