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11 to 20 of 9,186 Results
temporal_scatter_by_bin.py
May 15, 2026 - AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 2.7 KB - MD5: d81035ab20771d418f6873e445503c32
Validation.ipynb
May 15, 2026 - AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Jupyter Notebook - 310.2 KB - MD5: 8dd3d88988356ed97f52a42d7410e0f3
ModelOutput.tab
May 15, 2026 - AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Tabular Data - 1.2 MB - 161 Variables, 382 Observations - UNF:6:Xfi38fbR1I/lROEteajzow==
Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions
Apr 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, V4
Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions.
Data for ''Rather than drafting, vortex capture dictates efficiency in three-hydrofoil schools''.zip
Apr 30, 2026 - Particle Image Velocimetry for Bio-Inspired Vortex, Fin, and Boundary Interactions
ZIP Archive - 8.7 GB - MD5: 7f71f09ad2ba7b306f5f01f6c57b620d
PIV and force data for "Ormonde, P. C., Zhu, Y., Quinn, D. B., & Moored, K. W. (2026). Rather than drafting, vortex capture dictates efficiency in three-hydrofoil schools. arXiv:2604.19121”
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
Apr 22, 2026
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, V3
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.
hygiene_prob_Hwash_Bas.tif
Apr 22, 2026 - A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.3 MB - MD5: 6d840bde5d48195e80bf31c5905fb1ee
hygiene_prob_Hwash_Lim.tif
Apr 22, 2026 - A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.4 MB - MD5: a39ef7b3c67f000f93b317815d18b2b1
hygiene_prob_Hwash_None.tif
Apr 22, 2026 - A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.9 MB - MD5: f9225a0c9deb82f99ced225b0336aad3
hygiene_se_Hwash_Bas.tif
Apr 22, 2026 - A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.4 MB - MD5: 8fe880bc79bc6f74734986647365f676
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