Information describing any necessary information to use and understand the data. Documentation may be structured (e.g., a code book) or unstructured (e.g., a plain text “Readme” file).
Dataset citation “Data for “Gaming self-consistent field theory: Generative block polymer phase discovery”” available from the Data Repository for the University of Minnesota at https://doi.org/10.13020/qv23-pp07
Dataset citation “Data for Grain Growth in Olivine + Ferropericlase Rocks Deformed to High Strains” available from the Data Repository for the University of Minnesota at https://doi.org/10.13020/ej3r-m032
Dataset citation “Recombinant production of a diffusible signal factor inhibits Salmonella invasion and animal carriage” available from Cornell University at https://doi.org/10.7298/gv1c-b060
Dataset citation “Dataset: Ocean-bottom P and S arrival waveform dataset from the Alaska Amphibious Community Seismic Experiment, 2018-19″ available from Cornell University at https://doi.org/10.7298/01da-ka24
Dataset citation “Supporting data for Regiospecific and Linear Poly(ethylene-co-vinyl alcohol) via the Ring-Opening Metathesis Polymerization of 3-acetoxycyclooctene” available from the University of Minnesota at http://doi.org/10.13020/vb1d-5r77
Dataset citation “Data from: Liming and spring salamander abundance” available from Cornell University at https://doi.org/10.7298/0e1s-mm78
Dataset citation “Experimental data of log jam-induced hyporheic flow experiment in Ecoflume of St. Anthony Falls Laboratory on 2022″ available from the University of Minnesota at https://doi.org/10.13020/57f0-r060
Dataset citation “Dataset for “Safety and data quality of EEG recorded simultaneously with multi-band fMRI” available from the University of Illinois at https://doi.org/10.13012/B2IDB-1484994_V1
Dataset citation “Reflectance spectra and related water quality and color data from 325 Minnesota and Wisconsin lakes and rivers” available from the University of Minnesota at https://doi.org/10.13020/1c2h-te39
Dataset citation “Data for “Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems”” available from the University of Illinois at https://doi.org/10.13012/B2IDB-8852490_V1