Cordeiro, Marcos R C; Lelyk, Glenn; Kröbel, Roland; Legesse, Getahun; Faramarzi, Monireh; Masud, Mohammad Badrul; McAllister, Tim (2017): Deriving Canada-wide soils dataset for use in Soil and Water Assessment Tool (SWAT). PANGAEA, https://doi.org/10.1594/PANGAEA.877298, Supplement to: Cordeiro, MRC et al. (2018): Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations. Earth System Science Data, 10(3), 1673-1686, https://doi.org/10.5194/essd-10-1673-2018
Always quote above citation when using data! You can download the citation in several formats below.
The objective of this work was to pre-process the Soil Landscapes of Canada (SLC) database to offer a country-level soils dataset in a format ready to be used in SWAT simulations. A two-level screening process was used to identify critical information required by SWAT and to remove records with information that could not be calculated or estimated. Out of the 14,063 unique soils in the SLC, 11,838 soils with complete information were included in the dataset presented here. Soils with missing records for the required SWAT variables were removed from the analysis. These soils were compiled into a soils list provided as a reference ("incomplete" dataset).
Latitude: 56.000000 * Longitude: -106.000000
Params_Units_Cordeiro_etal_2017.docx: Parameter's unit and abbreviations explanation
SLCsoils_Canada_SWAT_Cordeiro-etal_2017.csv: Country-level soils dataset in a format ready to be used in SWAT simulations
SLCsoils_SWAT_Incomplete_Cordeiro-etal_2017.csv: Country-level soils dataset in a format ready to be used in SWAT simulations, incomplete