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Apr 30, 2026 - School of Engineering and Applied Science
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.
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 30, 2026 - Biocomplexity Institute & Initiative
Mortveit, Henning S.; Adiga, Abhijin; Baek, Hannah; Bhattacharya, Parantapa; Eubank, Stephen; Machi, Dustin; Marathe, Madhav; Porebski, Przemyslaw; Swarup, Samarth; Venkatramanan, Srinivasan; Wilson, Mandy; Xie, Dawen, 2024, "Synthetic Population for Washington, US (ver. 2.4.0)", https://doi.org/10.18130/V3/PNGMRJ, University of Virginia Dataverse, V2, UNF:6:i+YB7Rre5h9cv3VjPNxfew== [fileUNF]
The synthetic population for the state of Washington is constructed to be statistically indistinguishable from the real population at the spatial resolution of a US block group as measured by the US Census on selected demographic variables, which in this case are age (AGEP), household income (HINCP), household size (NP), race (RAC1P) and hispanic (...
Tabular Data - 97 B - 2 Variables, 8 Observations - UNF:6:i+YB7Rre5h9cv3VjPNxfew==
This is a lookup file that defines the different activity type identifiers (integer) supported in our v.2.4.0 synthetic populations, along with the activity type verbiage so that when looking at location assignments or the population network, it is clear what activity the person is doing at that time.
Adobe PDF - 521.2 KB - MD5: cf835bbb5dcd9b87ad3ee3efe17a1336
This document is a data dictionary to explain (generally) what the different files in the synthetic populations represent, as well as the column definitions.
XZ Archive - 100.8 MB - MD5: 59d3814e29a09b69013156752414cd30
wa_activity_assignment_day.csv.xz contains the activity sequences for the synthetic people in the synthetic representation of Washington. This does not contain the locations where these activities are performed -- wa_location_assignment_day.csv.xz has the mapping of activities to locations.
XZ Archive - 3.1 MB - MD5: 5c165562db01a49835e4371ad92a4cc9
wa_activity_locations.csv.xz is a list of activity locations (e.g. places where people go outside of home) in our synthetic representation of Washington.
XZ Archive - 17.9 MB - MD5: dc7bbcdec87652926a123ec20ac85af9
wa_household.csv.xz contains a list of households in our synthetic representation of Washington; the households are associated with synthetic people (to create families, for example) and with residence locations.
XZ Archive - 150.0 MB - MD5: 861d04b22679dfb663083aae34680673
wa_location_assignment_day.csv.xz contains a mapping of the activity sequences (from wa_activity_assignment_day.csv.xz) to locations in the synthetic representation of Washington where those activities were performed. Note that activity_type travel (0) is not represented in this file.
XZ Archive - 2.9 MB - MD5: cdafdbc77e0f68117e0e8168c9d34fa1
wa_location_info.csv.xz is a list of activity location ids in our synthetic representation of Washington, along with their primary activity type; for example, school locations are mapped with activity type 5.
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