71 to 80 of 817 Results
Feb 19, 2026 - UVA Researchers on Harvard Dataverse
Kruks-Wisner, Gabrielle; Mangla, Akshay; Sukhtankar, Sandip, 2026, "Replication Data for: Institutional Recognition: Activating Representation to Build Police Responsiveness to Women", https://doi.org/10.7910/DVN/AVXHJI, Harvard Dataverse
This package contains replication data for: "Institutional Recognition: Activating Representation to Build Police Responsiveness to Women." It contains analysis data from an RCT evaluating the impacts of a police reform, Women’s Help Desks (WHDs), in Madhya Pradesh, India. Also included in the package are the survey instruments used to obtain data...This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 19, 2026 - UVA Researchers on Harvard Dataverse
Rivero, Albert, 2026, "Replication Data for: Difference-Splitting Voting: Middle-Ground Votes at the U.S. Supreme Court", https://doi.org/10.7910/DVN/Y2VP7F
Replication data for Difference-Splitting Voting: Middle-Ground Votes at the U.S. Supreme Court (Journal of Law and Empirical Analysis)This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data. |
Feb 13, 2026 - Materials Informatics Group
Liu, Shunshun; Clarke, David R.; Balachandran, Prasanna V., 2026, "Data for: A Computational Dieke Design Map for Near-Infrared Optical Absorption in Transition Metal-Substituted Yttria-Stabilized Zirconia", https://doi.org/10.18130/V3/9DMDUS, University of Virginia Dataverse, V1
Collection of 16 transition metal-substituted YSZ (yttria-stabilized zirconia) structure files and corresponding Yambo GW-BSE output logs, organized by dopant and nominal charge state. The crystal structure file can be used to replicate the GW-BSE calculation discussed in the manuscript, and the GW-BSE output log can be used a reference of GW-BSE c... |
Feb 4, 2026 - Personick Research Group
Halford, Gabriel C.; Sublett, Abigail M.; Personick, Michelle L, 2026, "Replication Data for: Real-Time Electroanalytical Measurements of Dynamic Reaction Chemistry Provide Generalizable Mechanistic Considerations for Metal Nanoparticle Synthesis", https://doi.org/10.18130/V3/2T1ILZ, University of Virginia Dataverse, V1, UNF:6:vg3SZU5hKhOLx05XTDuh3A== [fileUNF]
This published work was supported by the National Science Foundation, Award # CHE-2406130. The data underlying the published work have been made publicly available in this repository according to the Data Management Plan for this award. |
Frimpong, Michael, 2026, "3D Bar Graph", https://doi.org/10.18130/V3/SQV0GQ, University of Virginia Dataverse, V4
Physical bar graph for representing categorical data. |
Jan 16, 2026 - School of Engineering and Applied Science
Chern, Max, 2026, "Data for: Application of an Optical Emission Spectroscopy Sensor Design to a Dual-Mode Scramjet Flowpath", https://doi.org/10.18130/V3/5XIKMI, University of Virginia Dataverse, V1
Raw experimental data used for journal publication of optical emission spectroscopy sensor design and application in the UVASCF. |
Jan 2, 2026 - Materials Informatics Group
Liu, Shunshun; Booth, Talon R.; Ji, Yangfeng; Reinhart, Wesley; Balachandran, Prasanna V., 2025, "Replication Data for: Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models", https://doi.org/10.18130/V3/ABITMJ, University of Virginia Dataverse, V2, UNF:6:paS6QAcYVTvf7GrPXMUGXg== [fileUNF]
Raw data and code snapshot for Expert-Grounded Prompt Engineering for Extracting Lattice Constants of High Entropy Alloys from Scientific Publications using Large Language Models. |
Dec 22, 2025 - Cell Maps for Artificial Intelligence
Clark T; Parker J; Al Manir S; Axelsson U; Ballllosero Navarro F; Chinn B; Churas CP; Dailamy A; Doctor Y; Fall J; Forget A; Gao J; Hansen JN; Hu M; Johannesson A; Khaliq H; Lee YH; Lenkiewicz J; Levinson MA; Marquez C; Metallo C; Muralidharan M; Nourreddine S; Niestroy J; Obernier K; Pan E; Polacco B; Pratt D; Qian G; Schaffer L; Sigaeva A; Thaker S; Zhang Y; Bélisle-Pipon JC; Brandt C; Chen JY; Ding Y; Fodeh S; Krogan N; Lundberg E; Mali P; Payne-Foster P; Ratcliffe S; Ravitsky V; Sali A; Schulz W; Ideker T, 2025, "Cell Maps for Artificial Intelligence - June 2025 Data Release (Beta)", https://doi.org/10.18130/V3/F3TD5R, University of Virginia Dataverse, V3
Description This dataset is a revision of the June 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. This revision includes adding RGB immunofluorescent images, corrections to ro-crate metadata, and changes to naming conventions. This Beta release inc... |
Dec 22, 2025 - Cell Maps for Artificial Intelligence
Clark, T; Parker, J; Al Manir, S; Axelsson, U; Ballllosero Navarro, F; Chinn, B; Churas, CP; Dailamy, A; Doctor, Y; Fall, J; Forget, A; Gao, J; Hansen, JN; Hu, M; Johannesson, A; Khaliq, H; Lee, YH; Lenkiewicz, J; Levinson, MA; Marquez, C; Metallo, C; Muralidharan, M; Nourreddine, S; Niestroy, J; Obernier, K; Pan, E; Polacco, B; Pratt, D; Qian, G; Schaffer, L; Sigaeva, A; Thaker, S; Zhang, Y; Bélisle-Pipon, JC; Brandt, C; Chen, JY; Ding, Y; Fodeh, S; Krogan, N; Lundberg, E; Mali, P; Payne-Foster, P; Ratcliffe, S; Ravitsky, V; Sali, A; Schulz, W; Ideker, T, 2025, "Cell Maps for Artificial Intelligence - October 2025 Data Release (Beta)", https://doi.org/10.18130/V3/K7TGEM, University of Virginia Dataverse, V2
Description This dataset is the October 2025 Data Release of Cell Maps for Artificial Intelligence (CM4AI; CM4AI.org), the Functional Genomics Grand Challenge in the NIH Bridge2AI program. CM4AI is generating multi-modal data including protein-protein interaction (PPI), spatial localization, and genetic perturbation data in MDA-MB-468 breast cancer... |
Dec 17, 2025 - Frank Batten School of Leadership and Public Policy
Wilson, Andrew J.; Bressler, R. Daniel; Papp, Anna; Sarmiento, Luis; Shrader, Jeffrey G., 2025, "Replication Data for: Occupation and temperature-related mortality in Mexico (Journal of Human Resources)", https://doi.org/10.18130/V3/YPG169, University of Virginia Dataverse, V1, UNF:6:eGx9wlHvm6Kat5phUZbpKw== [fileUNF]
Replication data and code for Occupation and temperature-related mortality in Mexico (Journal of Human Resources). The replication package contains all data and code necessary to replicate main and appendix results, but starts with a cleaned form of the raw mortality data provided by INEGI (https://en.www.inegi.org.mx/temas/mortalidad/), Census dat... |
