1 to 10 of 839 Results
Bull, Glen; Watts, Jo; Kumenya, Moses, 2026, "Sangala Studio", https://doi.org/10.18130/V3/LXPYQH, University of Virginia Dataverse, V4
Sangala Studio is a Computer-Assisted Design (CAD) tool developed for exploration of engineering through art. It incorporates both two-dimensional and three-dimensional design tools. Designs can be fabricated with digital die cutters, 3D printers, laser cutters and other fabrication tools. Activities in an accompanying book, Design through Making:... |
Sep 12, 2026 - UVA Researchers on Harvard Dataverse
Colmer, Jonathan; Doleac, Jennifer, 2026, "Replication data for Access to Guns in the Heat of the Moment: More Restrictive Gun Laws Mitigate the Effect of Temperature on Violence", https://doi.org/10.7910/DVN/YAS0F5
Colmer, Jonathan, and Doleac, Jennifer L., (2026) “Access to Guns in the Heat of the Moment: More Restrictive Gun Laws Mitigate the Effect of Temperature on Violence.” Review of Economics and Statistics 108:1, 30–43.This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Sep 11, 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, V3, UNF:6:ZjAoTz54Z9DC8Qkxb03Knw== [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. |
Sep 11, 2026 - UVA Researchers on Harvard Dataverse
Aliprantis, Dionissi; Carroll, Daniel R.; Young, Eric R, 2026, "Replication Data for: The Dynamics of the Racial Wealth Gap", https://doi.org/10.7910/DVN/VZHWHV
This package contains the code and model output that reproduce every figure and table in "The Dynamics of the Racial Wealth Gap" (Aliprantis, Carroll, and Young, International Economic Review). The paper studies the dynamics of the racial wealth gap (the wealth of Black households relative to white ones) using a dynamic equilibrium model of overlap...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Sep 7, 2026 - Personick Research Group
Halford, Gabriel C.; Hertle, Sebastian; Obedin, Katrina L.; Sublett, Abigail M.; Harmon, Kaelyn M.; VanGelder, Lauren E.; Personick, Michelle L., 2026, "Replication Data for: "Accessible Chemical Benchmarking of Nanoparticle Growth using Oxidation-Reduction Potential Sensors"", https://doi.org/10.18130/V3/5NDGAM, University of Virginia Dataverse, V1, UNF:6:rxExmM7l+/YHCIA8hv5i0Q== [fileUNF]
This published work was based in part upon work supported by the National Science Foundation under Grant No. CHE-2406130 (Au, (Ag)Au, and Pd nanoparticles) and on work supported by the U.S. Department of Energy, Office of Science under Grant No. DE-SC0024862 (Cu nanoparticles). The data underlying the published work have been made publicly availabl... |
Sep 4, 2026 - Center for Advanced Medical Analytics (CAMA)
Lake, Douglas, 2019, "UVA Holter Beat Annotation Files", https://doi.org/10.18130/V3/TSJ8IC, University of Virginia Dataverse, V3, UNF:6:8CiN/EPHIGQW80jX0Qk0VQ== [fileUNF]
Raw heart beat detection and annotation (.BEA) files for 2893 24-hour Holter recordings made at the University of Virginia from 2005 to 2010. Survival and basic patient information also available. Matlab script provided to read files and create interbeat intervals (i.e., RR intervals) along with rhythm and beat labels. RR interval series suitable f... |
rourk, will, 2026, "Fan Mountain Observatory - 31 inch Tinsely Reflector Dome - 3D Dataset", https://doi.org/10.18130/V3/7ZUT6X, University of Virginia Dataverse, V1
This is the 3D dataset for the laser scanning of the 31 inch Tinsely Reflector Dome building at the University of Virginia's Fan Mountain Observatory; the building site was scanned in collaboration with Jimmy Davidson and Whitney Richardson of UVA Astronomy; the dome was 3D scanned to provide dimensions of the mount for a new telescope to be instal... |
Aug 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, 2026, "Synthetic Population for California, US (ver. 2.5.0)", https://doi.org/10.18130/V3/A7DQWM, University of Virginia Dataverse, V2, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of California 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 (... |
Aug 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, 2025, "Synthetic Population for Minnesota, US (ver. 2.4.0)", https://doi.org/10.18130/V3/SB2PWT, University of Virginia Dataverse, V3, 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... |
Aug 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, 2025, "Synthetic Population for Massachusetts, US (ver. 2.4.0)", https://doi.org/10.18130/V3/ZB0SGL, University of Virginia Dataverse, V3, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of Massachusetts 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 hispani... |
