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Data is available in several formats (NetCDF, TIFF, BIL, PNG) and are located in separate subdirectories. Two CHIRPS products are produced operationally: a rapid preliminary version, and a later final version. The preliminary CHIRPS product is available, for the entire domain, two days after the end of a pentad (2nd, 7th, 12th, 17th, 22nd and 27th). The preliminary CHIRPS uses only Global Telecommunications System (GTS) and Conagua (Mexico) data. The final CHIRPS product takes advantage of several other stations sources and is complete sometime in the third week of the following month. 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[Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). 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Extractable Sodium (Na)", "description": "Extractable Sodium content (Na) of the soil fine earth fraction in mg/kg (ppm) 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 from the Africa Soil Profiles database (AfSP) compiled by AfSIS and recent soil data newly collected by AfSIS in partnership with EthioSIS (Ethiopia), GhaSIS (Ghana) and NiSIS (Nigeria as made possible by OCP Africa and IITA), combined with soil data as made available by Wageningen University and Research, IFDC, VitalSigns, University of California and the OneAcreFund. [Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). 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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. Tondoh, 2015. Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. 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Values M = mean value predicted. using soil data from the Africa Soil Profiles database (AfSP) compiled by AfSIS and recent soil data newly collected by AfSIS in partnership with EthioSIS (Ethiopia), GhaSIS (Ghana) and NiSIS (Nigeria as made possible by OCP Africa and IITA), combined with soil data as made available by Wageningen University and Research, IFDC, VitalSigns, University of California and the OneAcreFund. [Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). 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PLoS ONE 10(6)\nTexture classes of the USDA system / triangle used in this map:\ncode, name\n1   clay\n2   silty clay\n3   sandy clay\n4   clay loam\n5   silty clayloam\n6   sandy clay loam\n7   loam\n8   silty loam\n9   sandy loam\n10  silt  \n11  loamy sand\n12  sand", "formats": ["WWW:DOWNLOAD-1.0-ftp--download", "WWW:LINK-1.0-http--related", "canonical"], "keywords": ["Continental", "soil", "soil chemicophysical properties", "texture", "digital soil mapping", "Soil science", "Africa"], "providers": [{"name": "Ulan Turdukulov", "organization": "ISRIC - World Soil Information", "positionName": null, "roles": [{"name": "pointOfContact"}], "contactInfo": {"phone": {"work": null}, "email": {"work": "ulan.turdukulov@isric.org"}, "address": {"work": {"deliveryPoint": null, "city": null, "administrativeArea": null, "postalCode": "None", "country": null}}, "url": {"url": null, "protocol": null, "name": null, "description": null, "function": null}}}]}, "links": [{"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd1_250m.tif", "name": "Download GeoTIFF at depth 0-5 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd2_250m.tif", "name": "Download GeoTIFF at depth 5-15 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd3_250m.tif", "name": "Download GeoTIFF at depth 15-30 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd4_250m.tif", "name": "Download GeoTIFF at depth 30-60 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd5_250m.tif", "name": "Download GeoTIFF at depth 60-100 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://files.isric.org/public/afsis250m/af_TEXMHT_T__M_sd6_250m.tif", "name": "Download GeoTIFF at depth 100-200 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://isric.org/projects/soil-property-maps-africa-250-m-resolution", "name": "Project webpage", "description": null, "type": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0125814", "name": "Scientific paper", "description": null, "type": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://git.wur.nl/isric/lsc-hubs/rwanda-hub/-/blob/rwanda/portals/Africa/data.isric.org/2a7d2fb8-e0db-4a4b-9661-4809865aaccf.yml", "name": "Source of the record", "description": null, "type": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "2a7d2fb8-e0db-4a4b-9661-4809865aaccf", "name": "item", "description": "2a7d2fb8-e0db-4a4b-9661-4809865aaccf", "href": "https://rwanda.lsc-hubs.org/cat/collections/metadata:main/items/2a7d2fb8-e0db-4a4b-9661-4809865aaccf"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://rwanda.lsc-hubs.org/cat/collections/metadata:main"}]}, {"id": "4727602b-d0f2-4a6d-bb2f-d50c0ee24298", "type": "Feature", "geometry": null, "time": ["1960-01-01", "2015-12-31"], "properties": {"themes": [{"scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope", "concepts": []}, {"scheme": "https://lsc-hubs.org/categories/", "concepts": []}, {"scheme": "https://lsc-hubs.org/tags/", "concepts": []}], "updated": "2021-07-14T11:52:08", "type": "dataset", "language": "en", "externalIds": [{"value": "https://data.isric.org/geonetwork/srv/metadata/4727602b-d0f2-4a6d-bb2f-d50c0ee24298/formatters/xml"}], "title": "Africa SoilGrids - Sand content", "description": "Sand content (50-2000 micro meter) in g/100g (w%) at 6 standard depths predicted using two sets of Africa soil profiles data. 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[Values M = mean value predicted]. For details see below for peer reviewed paper (T. Hengl, J.G.B. Leenaars, K.D. Shepherd, M.G. Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, E. Berkhout, M. Cooper, E. Fegraus, I. Wheeler, N.A. Kwabena, 2017. Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning. Nutri\u00ebnt Cycling in Agroecosystems 109(1): 77-102). Maps produced for the Environmental Assessment Agency (PBL), funded by the Netherlands government, in collaboration with the AfSIS and the Vital Signs projects.", "formats": ["WWW:DOWNLOAD-1.0-ftp--download", "OGC:WMS", "WWW:LINK-1.0-http--related", "canonical"], "keywords": ["Continental", "soil", "soil chemicophysical properties", "nutrients", "zinc", "digital soil mapping", "Soil science", "Africa"], "providers": [{"name": "Ulan Turdukulov", "organization": "ISRIC - World Soil Information", "positionName": null, "roles": [{"name": "pointOfContact"}], "contactInfo": {"phone": {"work": null}, "email": {"work": "ulan.turdukulov@isric.org"}, "address": {"work": {"deliveryPoint": null, "city": null, "administrativeArea": null, "postalCode": "None", "country": null}}, "url": {"url": null, "protocol": null, "name": null, "description": null, "function": null}}}]}, "links": [{"href": "https://files.isric.org/public/af250m_nutrient/af250m_nutrient_zn_m_agg30cm.tif", "name": "Download GeoTIFF at depth 30 cm", "description": null, "type": "WWW:DOWNLOAD-1.0-ftp--download", "rel": "download"}, {"href": "https://maps.isric.org/mapserv?map=/map/af250m_nutrient.map", "name": "af250m_nutrient_zn_m_agg30cm", "description": null, "type": "OGC:WMS", "rel": "information"}, {"href": "https://isric.org/projects/africa-soilgrids-soil-nutrient-maps-sub-saharan-africa-250-m-resolution", "name": "Project webpage", "description": null, "type": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://link.springer.com/article/10.1007/s10705-017-9870-x", "name": "Scientific paper", "description": null, "type": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://git.wur.nl/isric/lsc-hubs/rwanda-hub/-/blob/rwanda/portals/Africa/data.isric.org/4e970a98-149d-4103-a7da-a6e8f974aad3.yml", "name": "Source of the record", "description": null, "type": "canonical", "rel": "canonical"}, {"rel": "self", "type": "application/geo+json", "title": "4e970a98-149d-4103-a7da-a6e8f974aad3", "name": "item", "description": "4e970a98-149d-4103-a7da-a6e8f974aad3", "href": "https://rwanda.lsc-hubs.org/cat/collections/metadata:main/items/4e970a98-149d-4103-a7da-a6e8f974aad3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://rwanda.lsc-hubs.org/cat/collections/metadata:main"}]}, {"id": "48d2e636-6bda-4fa3-93c0-fb689fcf3340", "type": "Feature", "geometry": null, "time": ["1960-01-01", "2015-12-31"], "properties": {"themes": [{"scheme": "https://inspire.ec.europa.eu/metadata-codelist/SpatialScope", "concepts": []}, {"scheme": "https://lsc-hubs.org/categories/", "concepts": []}, {"scheme": "https://lsc-hubs.org/tags/", "concepts": []}], "updated": "2021-07-14T11:51:54", "type": "dataset", "language": "en", "externalIds": [{"value": "https://data.isric.org/geonetwork/srv/metadata/48d2e636-6bda-4fa3-93c0-fb689fcf3340/formatters/xml"}], "title": "Africa SoilGrids - Exchangeable potassium (K+)", "description": "Exchangeable potassium (K+; 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. Leenaars, M.G. Walsh, K.D. Shepherd, A. Sila, R.A. MacMillan, J. Mendes de Jesus, L.T. Desta, J.E. Tondoh, 2015. Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions. 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