Dataset used in Macdonald et al. 2025 - Topographic position index predicts within-field yield variation in a dryland cereal production system

These are the data used in the analyses from the paper by Macdonald et al. (2025), entitled "Topographic position index predicts within-field yiel variation in a dryland cereal production system. We investigated drivers of sub-field spatial variability in yield for 3 crops (hard red winter wheat, Triticum aestivum L. variety Langin; corn, Zea mays L.; and proso millet, Panicum milaceum L) usings this multi-year dataset from a dryland research farm in northeastern Colorado, USA. The dataset spanned 18 2.6-4.3 ha management units collected over 4 years (2019-2022). The data includes high resolution topographic data collected via real-time kinematic GPS, densely sampled soil texture and chemical properties, and meteorological data from an on-site weather station. "Modeling_data.csv" contains the data used for all modeling efforts presented in the paper. "Data_dictionary.csv" contains descriptions and units for all columns in "Modeling_data.csv." "Study_site_DEM.tif" is the digital elevation model from which all topographic attributes described in the paper were derived. The units are meters. The horizontal resolution is 5 m. The coordiate reference system is UTM zone 13N.