Soil organic carbon content [g/kg] for continental Europe at 30 m spatial resolution for period 2000-2020: Open Soil Data Cube for Europe (Q6689059)

Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environment for statistical computing (Hengl MacMillan, 2019; Hengl, et al., 2021). For each pixel we provide prediction errors as 1 standard deviation in either log or the original variable scale. The short description of currently available soil properties: log organic carbon [g/kg] to back-transform use exp(x/10)-1; Soil properties were predicted at fixed depths: Surface soil = s0..0cm, Subsoil 1 = s30..30cm, Subsoil 2 = s60..60cm, Subsoil 3 = s100..100cm. To produce estimates for depth intervals e.g. 030 cm, 0100 cm best use the trapezoidal rule formula. Periods: 2000 (20002003), 2004 (20042007), 2008 (20082011), 2012 (20122015), 2016 (20162019), 2020; To back-transform the log.oc maps use formula: exp(x/10)-1. These are examples of back-transformed values: log.oc = 15 0.3% SOC; log.oc = 20 0.6% SOC; log.oc = 25 1.1% SOC; log.oc = 30 1.9% SOC; log.oc = 35 3.2% SOC; log.oc = 40 5.3% SOC; log.oc = 50 14.8% SOC;