111 to 120 of 9,287 Results
May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 9.1 KB -
MD5: 3f4fcdd6e518d87bfae5aa9002801fd9
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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: 4fc4ca6126e4d73f3905fa1dab874a72
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May 15, 2026 -
AI-Enabled Synthesis of Open Source Multi-Attribute, Temporal Dataset Related to Data Centers in Virginia
Python Source Code - 2.9 KB -
MD5: dab7aba029ac0b869224cd71a1c14235
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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
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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
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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” |
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. |
Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.3 MB -
MD5: 6d840bde5d48195e80bf31c5905fb1ee
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Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.4 MB -
MD5: a39ef7b3c67f000f93b317815d18b2b1
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Apr 22, 2026 -
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.9 MB -
MD5: f9225a0c9deb82f99ced225b0336aad3
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