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    Cation exchange capacity (buffered at pH 7) of fine earth fraction in cmolc/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.

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    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.

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    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.

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    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.

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    Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). 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.

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    Nitrogen in cg/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.

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    Soil organic carbon stock in t/ha for 0-30, 30-100 and 100-200 depth intervals. 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.

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    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 these layers please use www.soilgrids.org.

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    WRB classes and probabilites. Predictions were derived using a digital soil mapping approach based on Random Forest, drawing on a global compilation of soil profile data and environmental layers. To visualize these layers please use www.soilgrids.org. Legend: 0 = Acrisols 1 = Albeluvisols 2 = Alisols 3 = Andosols 4 = Arenosols 5 = Calcisols 6 = Cambisols 7 = Chernozems 8 = Cryosols 9 = Durisols 10 = Ferralsols 11 = Fluvisols 12 = Gleysols 13 = Gypsisols 14 = Histosols 15 = Kastanozems 16 = Leptosols 17 = Lixisols 18 = Luvisols 19 = Nitisols 20 = Phaeozems 21 = Planosols 22 = Plinthosols 23 = Podzols 24 = Regosols 25 = Solonchaks 26 = Solonetz 27 = Stagnosols 28 = Umbrisols 29 = Vertisols

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    Sand content (50-2000 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 layers. To visualize these layers please use www.soilgrids.org.