71 to 80 of 812 Results
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... |
Dec 5, 2025 - LibraData: UVa's Scholarly Research
Walsh, Brandon, 2025, "Praxis Charters - Cohorts 1-13", https://doi.org/10.18130/V3/K0D2LM, University of Virginia Dataverse, V1, UNF:6:8y78mKD3WQIgGDdxdXdy+A== [fileUNF]
Praxis Charters - Cohorts 1-13 This upload provides data used in a textual analysis for a book project under review by Brandon Walsh. It contains two datasets, each in two different data formats, for a total of of four files: * praxis charter cohort 14.csv * praxis charter cohort 14.xlsx * praxis student charters cohorts 1-13.csv * praxis student c... |
Dec 3, 2025 - School of Engineering and Applied Science
Bolton, Matthew; Biltekoff, Elliot; Humphrey, Laura; Taylor, Skye Solace, 2025, "NASA-TLX Workload Ratings Collected with Multiple Response Types in a UAS Search-Tracking Task", https://doi.org/10.18130/V3/97ZJNL, University of Virginia Dataverse, V1, UNF:6:ohJGgAvIpnIx3uMojc7OAw== [fileUNF]
This dataset contains ratings human subjects made using the NASA Task Load Index (NASA-TLX) that were collected as part of a within-subjects study where participants tracked points searched by an Unmanned Aerial System (UAS) in video simulations. Participants were 36 graduate engineering students (aged 22–30) who completed 36 simulation trials unde... |
Nov 17, 2025 - Department of Computer Science
Kishore, Aparna, 2025, "REVI-Twin: An Integrated AI-Driven Methodology for Creating Digital Twin of Residential Electric Vehicle Infrastructure", https://doi.org/10.18130/V3/IWOVOX, University of Virginia Dataverse, V1, UNF:6:18f6sfDQqMlTGN8qnwaGLg== [fileUNF]
Integrating electric vehicles (EVs) into homes and the electrical grid introduces complex dynamics that can overwhelm planning tools. Accurately estimating hourly residential EV charging demand typically requires computationally intensive agent-based simulations that depend on large volumes of input data. Such requirements limit scalability of the... |
Diagne, Mohamed; Gerding, Molly R.; Breault, David T.; NIeh, Edward H.; Beenhakker, Mark P.; Barrett, Paula Q.; Guagliardo, Nick A., 2025, "Data for Manuscript: Osmolarity controls oscillatory calcium signaling to reduce autonomous aldosterone production in zona glomerulosa cells", https://doi.org/10.18130/V3/9TLMJO, University of Virginia Dataverse, V1
Data for figures in Osmolarity controls oscillatory calcium signaling to reduce autonomous aldosterone production in zona glomerulosa cells; https://doi.org/10.1210/endocr/bqaf147 |
Nov 7, 2025 - School of Engineering and Applied Science
Fang, Bin, 2025, "SMAP 400m downscaled soil moisture daily data", https://doi.org/10.18130/V3/IVOU1T, University of Virginia Dataverse, V1
The 400m resolution global SMAP downscaled soil moisture data was produced from a VIS/IR downscaling algorithm based on the vegetation modulated thermal inertia relationship between SM and change in LST. |
