1 to 10 of 62 Results
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, V4
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. |
Fang, Bin, 2026, "Supplementary document for WASH Scientific Data paper", https://doi.org/10.18130/V3/BXZF8X, University of Virginia Dataverse, V3
Supplementary Table 1 for WASH Scientific Data paper. It gives descriptive statistics about each category of each WASH component by survey, as well as the sources of each survey. |
Jul 31, 2026
Ma, Ji, 2026, "Replication Data for: Ma Group (MSE)", https://doi.org/10.18130/V3/B8AR5Y, University of Virginia Dataverse, V1
Publication data |
Jul 30, 2026
Zhu, Yuanhang; Ormonde, Pedro C.; Liu, Leo; Pan, Yu; Westfall, Elizabeth; Han, Tianjun; Zhu, Joseph; Zhong, Qiang; Bart-Smith, Hilary; Dong, Haibo; Lauder, George V.; Moored, Keith W.; Quinn, Daniel B., 2025, "Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions", https://doi.org/10.18130/V3/UL6CJE, University of Virginia Dataverse, V5
Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions. |
Jul 9, 2026
Fang, Bin, 2026, "Code for modeling livestock components by RTMB", https://doi.org/10.18130/V3/B9Z4QA, University of Virginia Dataverse, V1
The repository contains two R code files: data preprocessing and model/prediction/evaluation files. |
Jul 6, 2026
Barnes, Robert; Engelhard, Victor, 2026, "Replication Data for: Characterization of cancer-associated fibroblast populations that promote tertiary lymphoid structure formation in murine melanoma tumors", https://doi.org/10.18130/V3/HP7XTU, University of Virginia Dataverse, V1
This dataset contains raw data generated from sc-RNAseq of mouse melanoma tumor fibroblasts analyzed using Seurat. |
Jul 2, 2026
Price, Richard, 2026, "MRIs for Quantitative Susceptibility Mapping Reveals Size-Dependent Focused Ultrasound-Mediated Therapeutic Delivery to Naïve Brain and Gliomas", https://doi.org/10.18130/V3/QGVZHW, University of Virginia Dataverse, V1
Background Focused ultrasound (FUS)-mediated disruption of the blood-brain (BBB) and blood-tumor (BTB) barriers augments drug delivery to the central nervous system; however, relationships between therapeutic dose, size, and delivery to both healthy and tumor tissue with FUS remain poorly defined. Current MRI-based quantification techniques have li... |
Jun 10, 2026 - Materials Informatics Group
Riffe, William; Zare, Saman; Caratenuto, Andrew; Deijkers, Jeroen; Balachandran, Prasanna; Clarke, David; Hopkins, Patrick; Wadley, Haydn, 2026, "Replication Data for: The infrared optical properties of ytterbium disilicate", https://doi.org/10.18130/V3/HQKE0K, University of Virginia Dataverse, V2
This data repository contains crystal structure data in the form of crystallographic information files (CIFs), data from density functional theory calculations, and data from running the Phonopy code. The material of interest is the Yb2Si2O7. Using the data given in this repository, the phonon dispersion curves, phonon density of states, and phonon... |
May 18, 2026 - Department of Computer Science
Riya Ghate; Jingran Chen; Aparna Kishore; Madhav V Marathe, 2026, "AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia", https://doi.org/10.18130/V3/AYLB4S, University of Virginia Dataverse, V2, UNF:6:Xfi38fbR1I/lROEteajzow== [fileUNF]
Data centers are among the fastest-growing loads on the U.S. electrical grid. Virginia, the world's largest data center market, is an ideal testbed for analyzing energy and infrastructure impacts. However, researchers and policymakers lack open, consistent facility-level data for effective regional planning and impact analysis. Existing datasets ar... |
Apr 22, 2026
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. |
