Data from: Soil Landscapes of the United States 100-meter (SOLUS100) soil property maps project repository

This repository provides extended documentation, code, and updated links to access the Soil Landscapes of the United States (SOLUS) 100-meter soil property maps. It provides supporting materials for a peer reviewed paper (Nauman et al., In Review) documenting the theory and novel application of hybridized legacy training datasets used to inform the machine learning models used to create the new soil property maps presented here. The SOLUS dataset includes 20 different soil properties (listed below) with most properties predicted for seven standard depths (0, 5, 15, 30, 60, 100, and 150 cm). Further details on these properties and all included files are available in the README.docx document. Also included is a git repository formatted as a hybrid R package that includes all code used to create the soil property maps.All SOLUS100 mapping layers are available as cloud optimized geotiffs at: https://storage.googleapis.com/solus100pub/index.htmlMetadata: https://storage.googleapis.com/solus100pub/SOLUS100_metadata_pub.htmlList of files at this URL are listed at: https://storage.googleapis.com/solus100pub/Final_Layer_Table_20231215.csvNote that many of the raster files are scaled by multipliers of 10, 100, or 1000 to store the values as integers to decrease file size. The ‘scalar’ field of the file list table (Final_Layer_Table_20231215.csv) files provide those values. The actual rasters must be divided by the scalars to get the actual units of the properties. To download files, simply concatenate the google API URL with a forward slash and the file name listed in the table into a browser (e.g. EC at 0 cm would be https://storage.googleapis.com/solus100pub/ec_15_cm_p.tif). To automate downloads, a loop in python, R or your language of choice that builds file download urls from the file list in the csv can be implemented. Alternatively, some GIS programs (e.g. QGIS) will let you visualize and interact with the files without downloading the files by entering the URL.All raster environmental covariates used in mapping are available here: https://storage.googleapis.com/cov100m/index.htmlProperties included in SOLUS100:Bulk density (oven dry) Calcium carbonate Cation Exchange Capacity (pH 7) Clay Coarse sand Electrical Conductivity (sat. paste) Effective cation exchange capacity Fine sand Gypsum (in <20 mm fraction) Medium sand pH (1:1 method) Rock content Sand Sodium adsorption ratio Silt Soil organic carbon Very coarse sand Very fine sand Depth to bedrock Depth to restrictionNauman, T.W., Kienast-Brown, S., White, D.A. Brungard, C.W., Philippe, J., Roecker, S.M., Thompson, J.A. Soil Landscapes of the United States (SOLUS): developing predictive soil property maps of the conterminous US using hybrid training sets. In Prep for SSSAJ.