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| Main Authors: | , , , , , , |
|---|---|
| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2017
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.877298 |
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Table of Contents:
- 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).