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/).