“…This dataset was adopted for this study because of its extensive applications in soil erosion mapping from the local to global scales (e.g., Borrelli et al, 2017;Fenta et al, 2021;Gashaw et al, 2020;Schürz et al, 2020;Tamene and Le, 2015). It is also has been adopted in other environmental studies, for instance, predict soil bacterial biodiversity (Griffiths et al, 2016), soil type classification (Dornik et al, 2016), plant species niches (Velazco et al, 2017), yield forecast (Cunha et al, 2018), mapping global mangrove forest soil carbon (Sanderman et al, 2018), global gridded hydrologic soil groups (Ross et al, 2018), predict vegetation type (Cramer et al, 2019), soil hydraulic and thermal properties (Dai et al, 2019), dust emission probability (Effati et al, 2019), land degradation (Giuliani et al, 2020), crop models (Pique et al, 2020;Tewes et al, 2020;Wimalasiri et al, 2020), hydrological modeling (Krpec et al, 2020;Trinh et al, 2018), and land use capability analysis (Ippolito et al, 2021).…”