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.

データとリソース

追加情報

フィールド	値
作成者	Carolyn J. Lawrence-Dill
バージョン	1
最終更新	4月 10, 2026, 22:59 (UTC)
Published	4月 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