DCN-400: WI-FI US…
Dataset citation “WI-FI US Children 2005-2020″ available from ScholarSphere at https://scholarsphere.psu.edu/resources/67b30a25-6f23-43b8-ba6f-6a3812db7cfe
DCN-389: Mechanics of the foot and ankle joints…
Dataset citation “Mechanics of the foot and ankle joints during running using a multi-segment foot model compared with a single-segment model” available from Penn State ScholarSphere at https://scholarsphere.psu.edu/resources/e56b5b31-b481-4f6c-a3e7-9e81cbc6bb61
DCN-397: MLP neural network trained on…
Dataset citation “MLP neural network trained on the QCL [-2, +3] Å dataset” available from Princeton University at https://doi.org/10.34770/e034-4670
DCN-383: Data for “Gaming self-consistent field…”
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
DCN-382: Grain Growth in Olivine…
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
DCN-349: Supporting data for Regiospecific and Linear…
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
DCN-359: Experimental data of log jam-induced…
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
DCN-348: Reflectance spectra and related water…
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
DCN-322: Data for Mining the manifolds…
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