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  • This dataset includes global soil salinity layers for the years 1986, 1992, 2000, 2002, 2005, 2009 and 2016. The maps were generated with a random forest classifier that was trained using seven soil properties maps, thermal infrared imagery and the ECe point data from the WoSIS database. The validation accuracy of the resulting maps was in the range of 67–70%. The total area of salt affected lands by our assessment is around 1 billion hectares, with a clear increasing trend. Further details are provided in a peer-reviewed journal article (https://doi.org/10.1016/j.rse.2019.111260). The code and data used to produce the global soil salinity maps can be accessed by registered Google Earth Engine users at https://code.earthengine.google.com/d43e5a92ae1deed32a0929f57b572756.

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    Bulk density of the fine earth fraction*, equilibrated at 33 kPa (kg/dm³). ISRIC is developing a centralized and user–focused server database, known as ISRIC World Soil Information Service (WoSIS). The aims are to: • Safeguard world soil data "as is" • Share soil data (point, polygon, grid) upon their standardization and harmonization • Provide quality-assessed input for a growing range of environmental applications. So far some 400,000 profiles have been imported into WoSIS from disparate soil databases; some 150,000 of have been standardised. The number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Further, in most source data sets, there are fewer data for soil physical as opposed to soil chemical attributes and there are fewer measurements for deeper than for superficial horizons. Generally, limited quality information is associated with the various source data. Special attention has been paid to the standardization of soil analytical method descriptions with focus on the set of soil properties considered in the GlobalSoilMap specifications. Newly developed procedures for the above, that consider the soil property, analytical method and unit of measurement, have been applied to the present set of geo-referenced soil profile data. Gradually, the quality assessed and harmonized "shared" data will be made available to the international community through several webservices. All data managed in WoSIS are handled in conformance with ISRICs data use and citation policy, respecting inherited restrictions. The most recent set of standardized attributes derived from WoSIS are available via WFS. For instructions see Procedures manual 2018, Appendix A, link below (Procedures manual 2018). * The fine earth fraction is generally defined as being less than 2 mm. However, an upper limit of 1 mm was used in the former Soviet Union and its sattelite states (Katchynsky scheme). This has been indicated in the database.

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    Grade of a sub-soil being acid e.g. having a pH greater than 5 and low BS 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: grade.

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    Soil moisture content by volume, at tension 1500 kPa (pF 4.2) (cm³/100cm³). ISRIC is developing a centralized and user–focused server database, known as ISRIC World Soil Information Service (WoSIS). The aims are to: • Safeguard world soil data "as is" • Share soil data (point, polygon, grid) upon their standardization and harmonization • Provide quality-assessed input for a growing range of environmental applications. So far some 400,000 profiles have been imported into WoSIS from disparate soil databases; some 150,000 of have been standardised. The number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Further, in most source data sets, there are fewer data for soil physical as opposed to soil chemical attributes and there are fewer measurements for deeper than for superficial horizons. Generally, limited quality information is associated with the various source data. Special attention has been paid to the standardization of soil analytical method descriptions with focus on the set of soil properties considered in the GlobalSoilMap specifications. Newly developed procedures for the above, that consider the soil property, analytical method and unit of measurement, have been applied to the present set of geo-referenced soil profile data. Gradually, the quality assessed and harmonized "shared" data will be made available to the international community through several webservices. All data managed in WoSIS are handled in conformance with ISRICs data use and citation policy, respecting inherited restrictions. The most recent set of standardized attributes derived from WoSIS are available via WFS. For instructions see Procedures manual 2018, Appendix A, link below (Procedures manual 2018)

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    Volumetric moisture content (v%) of the soil fine earth fraction at saturation (at h=1 cm or pF 0), aggregated over rootable depth and the top 30 cm, mapped at 1km resolution

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    Bulk density of the whole soil including coarse fragments, air dried (kg/dm³). ISRIC is developing a centralized and user–focused server database, known as ISRIC World Soil Information Service (WoSIS). The aims are to: • Safeguard world soil data "as is" • Share soil data (point, polygon, grid) upon their standardization and harmonization • Provide quality-assessed input for a growing range of environmental applications. So far some 400,000 profiles have been imported into WoSIS from disparate soil databases; some 150,000 of have been standardised. The number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Further, in most source data sets, there are fewer data for soil physical as opposed to soil chemical attributes and there are fewer measurements for deeper than for superficial horizons. Generally, limited quality information is associated with the various source data. Special attention has been paid to the standardization of soil analytical method descriptions with focus on the set of soil properties considered in the GlobalSoilMap specifications. Newly developed procedures for the above, that consider the soil property, analytical method and unit of measurement, have been applied to the present set of geo-referenced soil profile data. Gradually, the quality assessed and harmonized "shared" data will be made available to the international community through several webservices. All data managed in WoSIS are handled in conformance with ISRICs data use and citation policy, respecting inherited restrictions. The most recent set of standardized attributes derived from WoSIS are available via WFS. For instructions see Procedures manual 2018, Appendix A, link below (Procedures manual 2018)

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    Predicted probability in percent per class 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: probability. Legend: 1: "Haplic Acrisols", 2: "Haplic Acrisols (Alumic)", 3: "Haplic Acrisols (Ferric)", 4: "Haplic Acrisols (Humic)", 5: "Plinthic Acrisols", 6: "Vetic Acrisols", 7: "Haplic Albeluvisols", 8: "Histic Albeluvisols", 9: "Umbric Albeluvisols", 10: "Cutanic Alisols", 11: "Haplic Alisols", 12: "Aluandic Andosols", 13: "Haplic Andosols", 14: "Vitric Andosols", 15: "Albic Arenosols", 16: "Ferralic Arenosols", 17: "Haplic Arenosols", 18: "Haplic Arenosols (Calcaric)", 19: "Hypoluvic Arenosols", 20: "Protic Arenosols", 21: "Haplic Calcisols", 22: "Haplic Calcisols (Sodic)", 23: "Luvic Calcisols", 24: "Petric Calcisols", 25: "Endogleyic Cambisols", 26: "Ferralic Cambisols", 27: "Haplic Cambisols", 28: "Haplic Cambisols (Calcaric)", 29: "Haplic Cambisols (Chromic)", 30: "Haplic Cambisols (Dystric)", 31: "Haplic Cambisols (Eutric)", 32: "Haplic Cambisols (Humic)", 33: "Haplic Cambisols (Sodic)", 34: "Leptic Cambisols", 35: "Vertic Cambisols", 36: "Calcic Chernozems", 37: "Haplic Chernozems", 38: "Luvic Chernozems", 39: "Haplic Cryosols", 40: "Turbic Cryosols", 41: "Vitric Cryosols", 42: "Petric Durisols", 43: "Acric Ferralsols", 44: "Haplic Ferralsols", 45: "Haplic Ferralsols (Rhodic)", 46: "Haplic Ferralsols (Xanthic)", 47: "Umbric Ferralsols", 48: "Haplic Fluvisols", 49: "Haplic Fluvisols (Arenic)", 50: "Haplic Fluvisols (Calcaric)", 51: "Haplic Fluvisols (Dystric)", 52: "Haplic Fluvisols (Eutric)", 53: "Calcic Gleysols", 54: "Haplic Gleysols", 55: "Haplic Gleysols (Dystric)", 56: "Haplic Gleysols (Eutric)", 57: "Mollic Gleysols", 58: "Umbric Gleysols", 59: "Calcic Gypsisols", 60: "Haplic Gypsisols", 61: "Calcic Histosols", 62: "Cryic Histosols", 63: "Fibric Histosols", 64: "Hemic Histosols", 65: "Sapric Histosols", 66: "Calcic Kastanozems", 67: "Haplic Kastanozems", 68: "Haplic Leptosols", 69: "Haplic Leptosols (Eutric)", 70: "Lithic Leptosols", 71: "Mollic Leptosols", 72: "Rendzic Leptosols", 73: "Haplic Lixisols", 74: "Haplic Lixisols (Chromic)", 75: "Haplic Lixisols (Ferric)", 76: "Albic Luvisols", 77: "Calcic Luvisols", 78: "Gleyic Luvisols", 79: "Haplic Luvisols", 80: "Haplic Luvisols (Chromic)", 81: "Haplic Luvisols (Ferric)", 82: "Leptic Luvisols", 83: "Stagnic Luvisols", 84: "Vertic Luvisols", 85: "Alic Nitisols", 86: "Haplic Nitisols (Rhodic)", 87: "Haplic Phaeozems", 88: "Leptic Phaeozems", 89: "Luvic Phaeozems", 90: "Endogleyic Planosols", 91: "Haplic Planosols (Dystric)", 92: "Haplic Planosols (Eutric)", 93: "Luvic Planosols", 94: "Solodic Planosols", 95: "Acric Plinthosols", 96: "Lixic Plinthosols", 97: "Gleyic Podzols", 98: "Haplic Podzols", 99: "Aric Regosols", 100: "Calcaric Regosols", 101: "Haplic Regosols (Dystric)", 102: "Haplic Regosols (Eutric)", 103: "Haplic Regosols (Sodic)", 104: "Leptic Regosols", 105: "Gypsic Solonchaks", 106: "Haplic Solonchaks", 107: "Haplic Solonchaks (Sodic)", 108: "Calcic Solonetz", 109: "Gleyic Solonetz", 110: "Haplic Solonetz", 111: "Mollic Solonetz", 112: "Luvic Stagnosols", 113: "Haplic Umbrisols", 114: "Leptic Umbrisols", 115: "Calcic Vertisols", 116: "Haplic Vertisols", 117: "Haplic Vertisols (Eutric)", 118: "Mollic Vertisols"

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    Soil moisture content by volume, at tension 10 kPa (pF 2.0) (cm³/100cm³). ISRIC is developing a centralized and user–focused server database, known as ISRIC World Soil Information Service (WoSIS). The aims are to: • Safeguard world soil data "as is" • Share soil data (point, polygon, grid) upon their standardization and harmonization • Provide quality-assessed input for a growing range of environmental applications. So far some 400,000 profiles have been imported into WoSIS from disparate soil databases; some 150,000 of have been standardised. The number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Further, in most source data sets, there are fewer data for soil physical as opposed to soil chemical attributes and there are fewer measurements for deeper than for superficial horizons. Generally, limited quality information is associated with the various source data. Special attention has been paid to the standardization of soil analytical method descriptions with focus on the set of soil properties considered in the GlobalSoilMap specifications. Newly developed procedures for the above, that consider the soil property, analytical method and unit of measurement, have been applied to the present set of geo-referenced soil profile data. Gradually, the quality assessed and harmonized "shared" data will be made available to the international community through several webservices. All data managed in WoSIS are handled in conformance with ISRICs data use and citation policy, respecting inherited restrictions. The most recent set of standardized attributes derived from WoSIS are available via WFS. For instructions see Procedures manual 2018, Appendix A, link below (Procedures manual 2018)

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    Volumetric coarse fragments content (v%) of the soil whole earth, aggregated over rootable depth and the top 30 cm, mapped at 1km resolution

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    Sum of exchangeable bases (Ca2+, Mg2+, K+, 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 6 depth intervals 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. PLoS ONE 10(6)