21 to 30 of 774 Results
Apr 29, 2026 - Biocomplexity Institute & Initiative
Mortveit, Henning S.; Adiga, Abhijin; Baek, Hannah; Bhattacharya, Parantapa; Eubank, Stephen; Machi, Dustin; Marathe, Madhav; Porebski, Przemyslaw; Swarup, Samarth; Venkatramanan, Srinivasan; Wilson, Mandy; Xie, Dawen, 2025, "Synthetic Population for Minnesota, US (ver. 2.4.0)", https://doi.org/10.18130/V3/SB2PWT, University of Virginia Dataverse, V2, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of Minnesota is constructed to be statistically indistinguishable from the real population at the spatial resolution of a US block group as measured by the US Census on selected demographic variables, which in this case are age (AGEP), household income (HINCP), household size (NP), race (RAC1P) and hispanic (H... |
Apr 28, 2026 - Biocomplexity Institute & Initiative
Mortveit, Henning S.; Adiga, Abhijin; Baek, Hannah; Bhattacharya, Parantapa; Eubank, Stephen; Machi, Dustin; Marathe, Madhav; Porebski, Przemyslaw; Swarup, Samarth; Venkatramanan, Srinivasan; Wilson, Mandy; Xie, Dawen, 2024, "Synthetic Population for Virginia, US (ver. 2.4.0)", https://doi.org/10.18130/V3/5LSDCY, University of Virginia Dataverse, V2, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of Virginia is constructed to be statistically indistinguishable from the real population at the spatial resolution of a US block group as measured by the US Census on selected demographic variables, which in this case are age (AGEP), household income (HINCP), household size (NP), race (RAC1P) and hispanic (HI... |
Apr 26, 2026
Das, Sree Sourav, 2026, "Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications", https://doi.org/10.18130/V3/7NYJAE, University of Virginia Dataverse, V1
Data as a part of data sharing for journal publication |
Apr 22, 2026 - School of Engineering and Applied Science
Fang, Bin, 2026, "A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions", https://doi.org/10.18130/V3/O58DEE, University of Virginia Dataverse, V3
The dataset includes GeoTIFF raster layers representing the predicted probability of each ordinal class. Files are named using a standardized convention that encodes the WASH component and ordinal class name. |
Apr 22, 2026 - School of Engineering and Applied Science
Fang, Bin, 2026, "Code for modeling WASH components by RTMB", https://doi.org/10.18130/V3/ED1WNW, University of Virginia Dataverse, V3
The repository contains two R code files: data preprocessing and model/prediction/evaluation files. |
Apr 21, 2026 - School of Medicine
Rosenthal, Eric S.; Kamaleswaran, Rishikesan; Strekalova, Yulia Levites; Williams, Andrew E.; Cordes, Ashley; Williams, Ishan C.; Rashidi, Parisa; Evans, Barbara J.; Moorman, J. Randall; Park, Soojin; Amorim, Edilberto; Vespa, Paul M.; Jiang, Xiaoqian; Liu, Hongfang; Podgoreanu, Mihai V.; Herasevich, Vitaly; Wainwright, Mark; Barros, Andrew J.; Sullivan, Brynne A.; Young, Michael J.; Alvarez, Marta; Talapova, Polina; Muszynski, Jennifer A.; Gent, Alasdair; Bold, Delgersuren; Kwong, Manlik; Gunda, Dileep; Le, Jackie; Loar, India; Gow, Brian J.; Schmidt, Heidi; Houghtaling, Jared; Miller, Robert T.; Clark, Timothy; Ashe, William B.; Pan, Tony C.; Pollard, Tom J.; McCrary, Ciera; Bihorac, Azra; Hu, Xiao; Clermont, Gilles, 2026, "Data Manifest for Collaborative Hospital Repository Uniting Standards (CHoRUS) April 2026", https://doi.org/10.18130/V3/XNBOPG, University of Virginia Dataverse, V1
Access Protected Enclave Data: http://chorus4ai.org/dataset The Collaborative Hospital Repository Uniting Standards (CHoRUS) for Clinical Care AI is a clinical data network developing a flagship multi-hospital, multimodal, high-resolution dataset under the NIH Bridge2AI program. CHoRUS harmonizes electronic health record (EHR) data, imaging, high-r... |
Apr 21, 2026 - School of Engineering and Applied Science
Gardella, Nicholas, 2026, "Audio PhD Dissertation of Nicholas Gardella | Responsible and Equitable Use of AI Code Generators in Computer Science Education", https://doi.org/10.18130/V3/VM1IPO, University of Virginia Dataverse, V1
This is the archival audiobook version of the PhD Dissertation of Nicholas Gardella, Responsible and Equitable Use of AI Code Generators in Computer Science Education. |
Apr 21, 2026 - Center for Advanced Medical Analytics (CAMA)
German Mesner, Ian, 2026, "PreMo: A Clinical and Vital Sign Dataset of Very-Low-Birth Weight Infants from 4 Neonatal Intensive Care Units", https://doi.org/10.18130/V3/KCBTMS, University of Virginia Dataverse, V1
PreMo Deidentified export of vital signs and REDCap clinical data for the PreMo 4-NICU study of very low birth weight infants Please additionally cite the corresponding manuscript Vital signs, demographics, and clinical events for low-birth-weight infants from four intensive care units Ian German Mesner, Doug E. Lake, Sherry L. Kausch, Katy N Krahn... |
Apr 20, 2026 - Department of Computer Science
Kishore, Aparna, 2026, "RAISE (Retrofitting Allocation using Income & Spatial Equity): A Tunable Strategy for Household Retrofitting Allocations", https://doi.org/10.18130/V3/BHIB7J, University of Virginia Dataverse, V1, UNF:6:1Z/FcgeIHU7PJ2+7ISL3Dw== [fileUNF]
The dataset includes both the code and output data for the research work on the retrofitting optimization framework called RAISE. RAISE is designed to allocate state retrofitting budgets to households in a way that maximizes energy savings while ensuring a balanced distribution of funds across counties and income groups. The input folder contains t... |
Apr 18, 2026 - Department of Biology
O'Connor, Clara, 2026, "Cascading_Effects_of_Defeat_Behavior_and_Outcomes_Dataset", https://doi.org/10.18130/V3/YMTSS6, University of Virginia Dataverse, V1, UNF:6:Px97iI7ZrlsQxmhZ0CF5jA== [fileUNF]
Data used in the analysis of the paper entitled "Cascading effects of defeat: Age-independent loser effects alter partner behavior". Behavior and fight outcome data for focal and partner forked fungus beetles (Bolitotherus cornutus). Each row distills data from one 2.5 hour fight video. |
