This dataset is a rasterized version of the Soil Landscapes of Canada (SLC) dataset. Soil attributes in this dataset have been collated from SLC map polygons and follow the GlobalSoilMap.net standards and specifications at specified depth increments extending over the agricultural portion of Canada. Weighted averages of soil attribute properties are generated from existing soil horizon information to conform to recognized fixed depth increments. Soil attribute weighted means are calculated by using all the soil components based on their areal extent within each SLC polygon. The weighted mean averages of attributes are spatially represented by the grid along with the lowest and highest attribute values found within each polygon.

This data release includes maps characterizing soil geomorphic units (SGUs), climate zones, and ecological site groups that classify landscapes by ecological potential and behavior for use in land management in the Upper Colorado River Basin (UCRB) region. Soil geomorphic units were created by analysis and grouping of ecological sites (ESs), a more detailed local system of ecological units managed by the National Cooperative Soil Survey (NCSS). Vegetation reference community production data of ESs were analyzed to determine discrete rules based on field soils data linked to the soil survey geographic (SSURGO) database of the USA to determine SGUs. Then both reference production data and state and transition model (STM) state attribution data were used to optimize combination of potential climate zone breaks with SGUs to determine final ecological site groups (ESGs). A non-parameteric Manova framework was used for all analysis in creating SGUs and ESGs to find groupings that best discerned differences in reference production and STMs. These groups, and the associated climate zones are mapped at 30m resolution for this data release. Mapping was done using a digital soil mapping workflow that linked field soil descriptions keyed to SGU to environmental raster covariates (e.g. digital elevation model) to create a predictive mapping model. The ESGs were then created by overlaying various climate surfaces with the SGUs to reclassify pixels. The SGU predictions are provided as the 1st, 2nd, and 3rd most probable class for each pixel based on the underlying random forest model probabilities.

This data set provides soil descriptions for forested areas in the BOREAS southern study area (SSA) in central Saskatchewan, Canada provided by Agriculture Canada. The data contain soil code, modifiers, extent, and soil names for the primary, secondary, and tertiary soil units within each polygon.

This is Version 1 of the Soil Organic Carbon Fractions product of the Soil and Landscape Grid of Australia. The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. This product contains six digital soil attribute maps for each of three depth intervals, 0-5 cm, 5-15 cm, 15-30 cm. These depths are consistent with the specifications of the GlobalSoilMap.net project - GlobalSoilMaps. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). These maps are generated using Digital Soil Mapping methods. Attribute Definition: Soil Organic Carbon Fractions : mineral-associated organic carbon (MAOC), particulate organic carbon (POC) and pyrogenic organic carbon (PyOC) (Units: Various); Period (temporal coverage; approximately): 1950-2022; Spatial resolution: 3 arc seconds (approximately 90 m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Total size before compression: about 8GB; Total size after compression: about 4GB; Format: Cloud Optimised GeoTIFF.