Published July 27, 2022
| Version 1
Dataset
Open
Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning: Cleaned Data
Description
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/).
Files
SetupInstructions.txt
Files
(13.7 GB)
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md5:d9ef13d83f02b0df5960be76199b98af
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md5:25f58023cee6e3c61d4ff0b74707d59e
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md5:e90f14fc6be137aedb6b9f50e0ff05b8
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6.4 GB | Download |
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md5:2f53d6b6f24b2a322004417dd554ed30
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md5:d1812032428de700c18947a52f7b6df9
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683 Bytes | Preview Download |
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12.4 MB | Preview Download |