CLSOILMAPS presents a newly gridded database of soil physical properties and soil hydraulic parameters based on digital soil mapping (DSM) techniques and a pedotransfer function (Rosetta V3) at close to 100m of spatial resolution covering the continental area of Chile and binational basins shared with Argentina for six standardized depths following GlobalSoilMap project standards. Maps were based on a newly compiled soil profile database covering different land use conditions (e.g. agricultural, forest, peatland, shrubland, and Andean grassland), and several environmental covariates based on the SCORPAN soil forming factors. DSM models showed moderate to good accuracies with R2 ranging from 0.76-0.88 for bulk density, 0.50-0.76 for clay, and 0.67-0.84 for sand. Silt maps were derived from clay and sand predictions taking advantage of the compositional nature of the particle size fraction. Field capacity, permanent wilting point, total available water capacity, and Van Genuchten´s soil hydraulic parameters were derived with Rosetta V3 algorithm.

Fe de erratas: Available Water Capacity description had a minor error. We have updated the files description at the table below. Soil att File abreviation Description Units Bulk density Bulkd Bulk density of the fine fraction g/cm3 Clay Clay Clay content % Sand Sand Sand content % Silt Silt Silt content % Field Capacity FC Field capacity at 330kPa cm3/cm3 Permanent Wilting Point PWP Permanent wilting point at 15000kPa cm3/cm3 Available Water Capacity AWC Available water capacity as h*(FC-PWP), h = horizon depth in mm mm Total Available Water Capacity Total_AWC Sum of AWC across all depths mm Available Moisture AvMoist Available Moisture as FC-PWP cm3/cm3 θr theta_r residual water content cm3/cm3 θs theta_s saturated water content cm3/cm3 α alpha "alpha" shape parameter 1/cm npar n "n" shape parameter - Soil Hydraulic Conductivity ksat saturated hydraulic conductivity cm/day

Center for Climate and Resilience Research, Award: CR2, CONICYT/ FONDAP/15110009 Improving forest water yield and productivity quantification at the catchment scale by mapping root depth and ecophysiological thresholds with remote sensing and water transfer modeling, Award: ANID Fondecyt 1210932 The catchment's memory: understanding how hydrological extremes are modulated by antecedent soil moisture conditions in a warmer climate, Award: ANID Fondecyt 1212071 Management of global change impacts on hydrological extremes by coupling remote sensing data and an interdisciplinary modeling approach (Chi)2, Award: PCI ANID Chile-NSFC China NSFC190018 Drought and water security platform for catchment planning: historical evolution and future trajectories under global change, Award: Fondo de Investigación Estratégica en Sequía FSEQ210001