The supplementary dataset accompanying a textbook "Cherlinka, Gallay, Dmytruk (2025) Predictive Modeling of Soil Types and Their Characteristics" contains the geospatial materials used throughout the
This dataset contains a multi-band GeoTIFF raster file (COVARIATS_EPSG25832.tif) for the area of the German federal state Bavaria with 36 environmental covariates derived from digital elevation models
The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location: Nauman, T.W
Exchangeable calcium (Ca2+; measured in 1M NH4OAc buffered at pH 7 with part of the data converted from data measured according to Mehlich 3) in cmolc/kg (fine earth) at 2 depth intervals (0-20 cm and
ABSTRACT Soil chemical and physical analyses are the major sources of data for agriculture. However, traditional soil analyses are time-consuming, not cost-efficient, and not environmentally friendly.