Hyperspectral reflectance data, molecular and weights for trained model
收藏Figshare2024-06-25 更新2026-04-08 收录
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资源简介：
Supplementary data for the paper: <i>"Data driven discovery and quantification of hyperspectral leaf reflectance phenotypes across a maize diversity panel."</i><b>"maize_2020_unl_reflectance_traits.csv</b> " contains hyperspectral reflectance data and molecular traits for a maize diversity panel grown in Lincoln, Nebraska in 2020.<b>"weights.h5"</b> are the weights of the autoencoder model used to reduce dimensionality of the hyperspectral reflectance data in this study.<b>"</b><b>maize_2020_unl_reflectance_traits.csv" </b>contains the latent variables/reduced dimensions of the hyperspectral reflectance data used in this study.<br>
提供机构：
Torres, Vladimir; Ganapathysubramanian, Baskar; J. Grove, Ryleigh; Grzybowski, Marcin W.; Ge, Yufeng; Jubery, Talukder Z.; Sun, Guangchao; V. Nishimwe, Aime; Tross, Michael C.; Schnable, James C.
创建时间：
2024-04-02
