Carolyn_Lawrence_Dill_Maize_WiDiv_Summer_2021_Dataset_June_2023

This dataset was collected at Iowa State University's Agricultural Engineering and Agronomy Research Farms during the summer of 2021. The data are observations of 686 maize Wisconsin Diversity panel accessions and 25 positive control accessions with dramatic phenotypes. Accessions planted and field layout are included along with observation data, including images, audio recordings, transcripts of recordings, and manually collected measuring and scoring.

Data and Resources

Additional Info

Field Value
Author Carolyn J. Lawrence-Dill
Version 1
Last Updated September 10, 2026, 18:01 (UTC)
Published April 10, 2026, 21:36 (UTC)
Citation Carolyn J. Lawrence-Dill 2023. Carolyn_Lawrence_Dill_Maize_WiDiv_Summer_2021_Dataset_June_2023. CyVerse Data Commons. DOI 10.25739/pvx4-5j31
compressedData true
contributor Craig A. Abel, Darwin A. Campbell, Jode W. Edwards, Miriam D. Lopez, Ásrún Ý. Kristmundsdóttir, Leila Fattel, Colleen F. Yanarella
creatorAffiliation Iowa State University
de_created_date 2023-06-05T17:42:47Z
de_modified_date 2023-06-28T18:18:02Z
format .json, .wav, .csv, .py, .yaml, .R, .out, .gz, .tar, .pptx, .jpg, .mp4, .pdf, .psd, .png, .xlsx, .txt
fundingReference Iowa State University, US Department of Agriculture The Agricultural Research Services, Predictive Plant Phenomics NSF Research Traineeship (DGE-1545453), Plant Sciences Institute Faculty Scholars Award, NSF and USDA-NIFA AI Research Institutes program for AI Institute: for Resilient Agriculture (2021-67021-35329)
identifierType DOI
publisher CyVerse Data Commons
resourceType Spoken Phenotype Processing