1 to 10 of 3,035 Results
Oct 31, 2024 - federated-learning-of-context-dependent-csi-feedback-autoencoders
Kim, Heasung, 2024, "CSI Dataset for Federated Learning of Context-Dependent CSI Feedback Autoencoders", https://doi.org/10.18738/T8/AFEKXT, Texas Data Repository, V1
CSI Dataset for Federated Learning of Context-Dependent CSI Feedback Autoencoders |
Oct 30, 2024 - Megan Robertson Research Group Dataverse
Herrera Monegro, Ronard; Krishnamoorti, Ramanan; Robertson, Megan L., 2024, "Functionalization and Repurposing of Polypropylene to a Thermoset Polyurethane", https://doi.org/10.18738/T8/BRHKVZ, Texas Data Repository, V1
This data is associated with the manuscript, "Functionalization and Repurposing of Polypropylene to a Thermoset Polyurethane", published in ACS Macro Letters: https://pubs.acs.org/doi/10.1021/acsmacrolett.4c00505 |
Oct 29, 2024 - Texas State University Dataverse Repository
Tooley, Kristen, 2023, "Prime and target centered total fixation times: abstract priming effects and lexically-mediated effects", https://doi.org/10.18738/T8/A5L2EF, Texas Data Repository, V3, UNF:6:guOaeTZVLPnipOqRcfpatw== [fileUNF]
Data from Tooley (2020) that has been by-item mean centered for prime-target pairs that had the same reduced-relative clause structure but different verbs and yielded (abstract structural priming effects) and those with the same structure and verb (lexical boost effects). |
Oct 29, 2024 - Scott Kruse Dataverse
Kruse, Scott, 2024, "Leveraging eHealth to manage adolescent obesity", https://doi.org/10.18738/T8/LJU7U9, Texas Data Repository, V1, UNF:6:qF16rza702xcBgq1I9xgQw== [fileUNF]
This is the data used for the analysis of using eHealth to manage adolescent obesity |
Oct 29, 2024 - Temperature, hydration, and physical performance differences of collegiate male soccer athletes between synthetic turf and natural turfgrass during competitive 6v6 matches in a hot environment
Straw, Chase, 2024, "Temperature, hydration, and physical performance differences of collegiate male soccer athletes between synthetic turf and natural turfgrass during competitive 6v6 matches in a hot environment", https://doi.org/10.18738/T8/OSHJSA, Texas Data Repository, V1, UNF:6:6nSCXTFfiGxMNPWQHiaC6Q== [fileUNF]
This study examines the thermoregulatory responses, hydration status, and physical performance of collegiate male soccer athletes competing on synthetic (ST) and natural turf (NT) in a hot environment. With a focus on comparing athlete responses between the two pitch types, the s... |
Oct 29, 2024Texas A&M University Dataverse Repository
This study examined the thermoregulatory responses, hydration status, and physical performance of collegiate male soccer athletes competing on synthetic (ST) and natural turfgrass (NT) in a hot environment. With a focus on comparing athlete responses between the two pitch types,... |
Oct 28, 2024 - University of Texas at Austin Dataverse Collection
NASA Goddard Institute for Space Studies (NASA/GISS), 2024, "NASA-GISS GISS E2.1-G Dual Forcing Model Output", https://doi.org/10.18738/T8/CKZUSK, Texas Data Repository, V1
Dual forcing datasets where anthropogenic aerosols and land use change including irrigation are perturbed from preindustrial conditions while other climate forcings are held constant. |
Oct 28, 2024 - Scott Kruse Dataverse
Kruse, Scott, 2024, "Transitioning to an RCM Budget Model Case Study", https://doi.org/10.18738/T8/OM6U9A, Texas Data Repository, V1
This dataverse dataset supports the work titled, Transitioning to an RCM Budget Model |