Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning: Cleaned Data

The included files and script are to allow for reconstruction of the data directory and cleaned data used in "Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning" ( https://doi.org/10.1101/2022.07.29.502051 ). Code used is available at 10.5281/zenodo.7401113 . Filename Description interim.tar.gz Contains site grouping dictonary processed.tar.gz Processed data raw.tar.gz Input data SetupInstructions.sh Bash script to prepare folders and unzipped data expected by code in 10.5281/zenodo.7401113 SetupInstructions.txt Instructions for unzipping the data Train_Test_Split_Reference_Phenotypes.csv Reference spreadsheet to allow for easily exploring training and test set groupings This work was supported through funding from the USDA Agricultural Research Service, ARS project number 5070-21000-041-000-D. Raw data provided by the [Genomes to Field Initiative](https://www.genomes2fields.org/) and the [Daymet database](https://daymet.ornl.gov/).