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1 to 10 of 9,287 Results
Aug 5, 2026
Fang, Bin, 2026, "Supplementary document for WASH Scientific Data paper", https://doi.org/10.18130/V3/BXZF8X, University of Virginia Dataverse, V1
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.
MS Excel Spreadsheet - 101.5 KB - MD5: 5cc9e69caecce79034b4865096a665c1
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
Compressed Archive - 237.9 MB - MD5: e0faccf14b5c1019f48349d5a22f75fd
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.
ZIP Archive - 24.5 GB - MD5: 4725d0492626f26cc770f13afc89c8b8
PIV and force data for ''Liu, L., Zhu, Y., Huang, Z., Dong, H., & Quinn, D. B. (2026). Hydrodynamic effects of fin morphology, kinematics and ground proximity in ray-inspired propulsion.''
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.
R Syntax - 70.0 KB - MD5: 6a412ccbcf0678c3331c634561a0aed3
R Syntax - 23.7 KB - MD5: c128f9f7fe2f6e29b297fdeabe392d53
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.
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