Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale

This is the input dataset to a Python script (https://github.com/oskeng/MF-bio-grassOpens in a new tab) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts. For more information about the dataset and the study, see the original article: Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy Usage Notes: The data file (Geopackage) can be opened using standard GIS software, preferably GRASS GIS or QGIS (both open source).This dataset is intended as input to a Python script (https://github.com/oskeng/MF-bio-grassOpens in a new tab) that must be run from within a GRASS GIS session. The dataset was originally published in DiVA and moved to SND in 2024.