Dominant drivers and projected increases in soil cracking risk across China

This dataset supports the study: Dominant drivers and projected increases in soil cracking risk across China The repository contains a global soil cracking database compiled from laboratory experiments and field observations, together with seasonal prediction maps of soil cracking across China for 2022. The database is provided as Soil_Cracking_Database.xlsx. The workbook contains two worksheets: l 01ratio: observations of soil surface crack ratio and associated environmental variables. l 02width: observations of soil crack width and associated environmental variables. Variables include location, plasticity index, soil texture fractions (sand, silt, and clay), temperature, relative humidity, initial water content, final water content, and soil cracking characteristics. The repository also includes seasonal prediction maps for 2022: Soil crack ratio: l Ratio_Spring_2022.tif l Ratio_Summer_2022.tif l Ratio_Autumn_2022.tif l Ratio_Winter_2022.tif Soil crack width: l Width_Spring_2022.tif l Width_Summer_2022.tif l Width_Autumn_2022.tif l Width_Winter_2022.tif All raster datasets are provided in GeoTIFF format using the WGS 1984 Albers Equal Area Conic projection. The prediction maps were generated using machine-learning models trained on the compiled soil cracking database. Detailed information on data collection, model development, model validation, and future climate projections can be found in the associated publication.