Datasets for "Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States"

Updated on 2021/07/01 Add python codes for data processing of the NASS yield data, PRISM climate data, RMA insurance data, agmip yield simulation data, and related geospatial analysis-------------------This repository is for the datasets and codes for “Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States” (Li et al. 2019 GCB). The datasets include maize yield, climate data, maize yield loss from crop insurance data in the US, etc. The datasets can reproduce the results of the paper and they can also be reused to explore other topics. Please cite Li et al (2019) or acknowledge this dataset (DOI: 10.6084/m9.figshare.7581473) when using it.. Authors: Li, Yan [State Key Laboratory of Earth Surface Processes and Resources Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Department of Natural Resources and Environmental Science, University of Illinois at Urbana-Champaign, Urbana, IL]; Guan, Kaiyu [Department of Natural Resources and Environmental Science, University of Illinois at Urbana-Champaign, Urbana, IL; Center for Advanced Bioenergy and Bioproducts Innovation (CABBI), Urbana, IL (United States)]. DOE Contract: SC0018420. Subjects: Agricultural spatial analysis and modelling; Climate Science; FOS: Other agricultural sciences