Soil temperature layers were calculated by adding monthly soil temperature offsets to monthly air-temperature maps from CHELSA (date range 1979-2013) (Karger et al. 2017, Sci Data). These soil temperature layers were then used to calculate annual means, temperature ranges, standard deviation, warmest and coldest months and quarters. Wettest and driest quarters were identified for each pixel based on CHELSA monthly values. A quarter is a period of three months (1/4 of the year). When using any of these layers, please cite: Lembrechts et al., Mismatches between soil and air temperature (2021). Global Change Biology. DOI: 10.1111/gcb.16060 For each Soil Bioclim layer, two depth intervals are available: 0 - 5 cm and 5 - 15 cm. We have followed the generally accepted definitions of BIO 1 - BIO 11: SBIO1 = Annual Mean Temperature SBIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp)) SBIO3 = Isothermality (BIO2/BIO7) (×100) SBIO4 = Temperature Seasonality (standard deviation ×100) SBIO5 = Max Temperature of Warmest Month SBIO6 = Min Temperature of Coldest Month SBIO7 = Temperature Annual Range (BIO5-BIO6) SBIO8 = Mean Temperature of Wettest Quarter SBIO9 = Mean Temperature of Driest Quarter SBIO10 = Mean Temperature of Warmest Quarter SBIO11 = Mean Temperature of Coldest Quarter These layers are also publicly available as Google Earth Engine assets. These are acessible via: https://code.earthengine.google.com/?asset=projects/crowtherlab/soil_bioclim/SBIO_v1_0_5cm https://code.earthengine.google.com/?asset=projects/crowtherlab/soil_bioclim/SBIO_v1_5_15cm Also available are monthly maps of soil temperature, for two depth intervals (0-5 cm and 5-15 cm). For example, the soil temperature map for month 1 (January) at 0-5 cm is named soilT_1_0_5cm.tif'. To mask pixels by the proportion of extrapolation, the files 'PCA_int_ext_0_5cm.tif' and 'PCA_int_ext_5_15cm.tif' can be used.

{"references": ["Karger, D. N., Conrad, O., B\u00f6hner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., Zimmermann, N. E., Linder, H. P., & Kessler, M. (2017). Climatologies at high resolution for the earth's land surface areas. Scientific Data, 4, 1\u201320. https://doi.org/10.1038/sdata.2017.122"]}