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Significant uncertainty reflects a less reliable prediction and therefore greater caution in the interpretation of values.  The mapping of modelling uncertainties associated with predicted TOC concentrations for the period 2015-2019 is a spatially continuous raster layer on soils under crops and grasslands with a resolution of 90 metres. 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For more details on the modeling implemented under CARBIOSOL, please refer to the metadata sheet documenting the data layer series. Prediction uncertainties for stocks are calculated according to the recommendations of the GlobalSoilMap project (Heuveling, 2014 - see genealogy).  Mapping of modeling uncertainties associated with predicted TOC stocks is a spatially continuous raster layer on soils under permanent crops and grasslands with a resolution of 40 metres. The uncertainty in each pixel is expressed as a relative percentage (% relative to the predicted median value).  Prediction error modeling is a potential error that allows a better interpretation of the final cartographic products generated by the CARBIOSOL project. The mapping of total organic carbon stocks should therefore be read in conjunction with the uncertainty map. 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The mapping of modeling uncertainties associated with predicted TOC levels for the period 1949-1974 is a spatially continuous raster layer on soils under crops and grasslands with a resolution of 90 metres. The uncertainty in each pixel is expressed as a relative percentage.  Prediction error modeling is a potential error that allows a better interpretation of the final cartographic products generated by the CARBIOSOL project. The mapping of total organic carbon contents for the period 1949-1972 should therefore be read in conjunction with the uncertainty map. 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