54 datasets found
  1. U

    Sample Public Dataset File

    • dataverse.lib.virginia.edu
    Updated May 29, 2026
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    Johanna Loomba (2026). Sample Public Dataset File [Dataset]. http://doi.org/10.18130/V3/GV6QTI
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 29, 2026
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Johanna Loomba
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    RDE Reseachers can index, share and manage private research data in the RDE Private Data Enclave. The system also supports public sharing of metadata (descriptive details related to research projects and datasets). Publishing these details is controlled by project owners and dataset admins. The dataset admins may ALSO elect to publish their dataset files in which case they will be assigned a permanent DOI (digital object identifier) and become visible to any public user in a variety of locations: the RDE Public Data Commons, UVA LibraData, and a variety of data search engines that harvest and expose dataverse metadata.

  2. U

    Published Dataset File

    • dataverse.lib.virginia.edu
    Updated May 29, 2026
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    Johanna Loomba (2026). Published Dataset File [Dataset]. http://doi.org/10.18130/V3/LFHOUW
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 29, 2026
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Johanna Loomba
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This file is being shared here to demostrate the file publishing capabilities of the RDE.

  3. U

    Pine Grove Rosenwald School 3D Data

    • dataverse.lib.virginia.edu
    Updated Feb 15, 2024
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    Will Rourk; Natalie Chavez; Chris MacDonnell; Matthew Schneider; Zhang Jie (2024). Pine Grove Rosenwald School 3D Data [Dataset]. http://doi.org/10.18130/V3/OCRSJY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Will Rourk; Natalie Chavez; Chris MacDonnell; Matthew Schneider; Zhang Jie
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Cumberland County, Virginia, United States
    Description

    This is the 3D documentation data for the Pine Grove Rosenwald School, Cumberland County, Virginia; The data was collected by students of ARH5600 : 3D Cultural Heritage Informatics, Fall 2021; data collected with FARO Focus 3D lasers scanners - (1) S120, (2) X130; project in collaboration with former Facilities Management Architectural History Projects Director, Jody Lahendron and the Pine Grove Community in an effort to preserve the building and community culture; one of the earliest Rosenwald Schools, built in 1917; Virginia Dept of Historic Resources listing https://www.dhr.virginia.gov/historic-registers/024-5082/ - VLR Listing Date 12/12/2019, NRHP Listing Date 02/25/2020, NRHP Reference Number MP100005010; community website at https://www.ammdpinegroveproject.com/; Data files can be downloaded below: Coming soon. Contact Will Rourk will@virginia.edu for more info Please credit the University of Virginia Library upon use of this data

  4. U

    Dunbar Rosenwald School

    • dataverse.lib.virginia.edu
    Updated Jul 22, 2026
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    will rourk; Victoria Bitrick; Connor Wainwright; Anne Elizabeth Blackburn; Virginia Fuss; Ben Gering; Terese Gibas; Lilly Hagen; Joseph Lilly; Anna Meyer; Stuart Pollock; Brianna Solt (2026). Dunbar Rosenwald School [Dataset]. http://doi.org/10.18130/V3/SLUFZK
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 22, 2026
    Dataset provided by
    University of Virginia Dataverse
    Authors
    will rourk; Victoria Bitrick; Connor Wainwright; Anne Elizabeth Blackburn; Virginia Fuss; Ben Gering; Terese Gibas; Lilly Hagen; Joseph Lilly; Anna Meyer; Stuart Pollock; Brianna Solt
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    3D dataset for the Dunbar Rosenwald School building located in the New Fork community of Fluvanna County, Virginia; data collected and processed by UVA Architecture class ARH3500/7500 : 3D Cultural Heritage Informatics during the Spring 2025 semester; main data registration performed by Victoria Bitrick, undergraduate student in the Program for Historic Preservation in Architectural History at UVA, directed by Andy Johnston PhD; the Dunbar Rosenwald School is owned, managed and directed by Carmen Smith of New Fork, Fluvanna County;

  5. U

    Population contact rates by age and county

    • dataverse.lib.virginia.edu
    Updated Apr 24, 2020
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    Network Systems Science and Advanced Computing Division (2020). Population contact rates by age and county [Dataset]. http://doi.org/10.18130/V3/OMEPOT
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 24, 2020
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Network Systems Science and Advanced Computing Division
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    NSF
    DTRA / ARA
    NIH
    CDC
    UVA Global Infectious Disease Institute
    Description

    The number and duration of contacts between people in a synthetic population of the United States, stratified by CDC age groups and county of residence for each of the contacts.

  6. U

    Walaszek Dissertation R Scripts

    • dataverse.lib.virginia.edu
    Updated Feb 7, 2025
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    Michelle Walaszek (2025). Walaszek Dissertation R Scripts [Dataset]. http://doi.org/10.18130/V3/VA6CM8
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Michelle Walaszek
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    R scripts for the data organization, filtering, and analysis of my Doctoral dissertation work focused on the association of Social Determinants of Health and return to sport and long-term outcomes in individuals after anterior cruciate ligament reconstruction (ACLR). There are a total of 9 R scripts across 3 manuscripts. The 'filter' scripts are for data management and filtering to create sub-datasets from the master dataset while the analyses scripts (BLR and LGM) are for the statistical analyses related to each sub-dataset.

  7. U

    A global dataset of household-level water, sanitation, and hygiene (WASH)...

    • dataverse.lib.virginia.edu
    Updated Apr 22, 2026
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    Bin Fang (2026). A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions [Dataset]. http://doi.org/10.18130/V3/O58DEE
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 22, 2026
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Bin Fang
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    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.

  8. U

    SpecialCollections-Faulkner-pipe-01

    • dataverse.lib.virginia.edu
    Updated Nov 4, 2020
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    William Rourk (2020). SpecialCollections-Faulkner-pipe-01 [Dataset]. http://doi.org/10.18130/V3/TWDT8L
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 4, 2020
    Dataset provided by
    University of Virginia Dataverse
    Authors
    William Rourk
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    William Faulkner's pipe; scanned on 2017-01-17 by Will Rourk, Baxter Craven, Molly Schwartzburg; scanned with Creaform Zscanner 700CX; data acquired using Creaform VXElements, processed with 3D Systems Geomagic, Autodesk 3D Studio Max, 3D printed with Stratasys Mojo

  9. U

    Academical Village Student Rooms Roof between Pavilions VIII-X 3D Data

    • dataverse.lib.virginia.edu
    Updated Feb 15, 2024
    + more versions
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    will rourk; Shaheen Alikhan (2024). Academical Village Student Rooms Roof between Pavilions VIII-X 3D Data [Dataset]. http://doi.org/10.18130/V3/KTA6FY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    University of Virginia Dataverse
    Authors
    will rourk; Shaheen Alikhan
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is data from the student rooms in the Academical Village, University of Virginia, east colonnade between Pavilions VIII and X; the pitched roof, constructed ca. 1830s was removed to be replaced by a modern flat roof; the original Thomas Jefferson era serrated roof was revealed during the demolition process and recorded; the roof was recorded using FARO Focus 3D laser scanners; data was processed with FARO Scene v. 2022; data collected with the help of Shaheen Alikhan; data collected 17 June 2022; Data files can be downloaded at the following location: Coming soon. Contact Will Rourk will@virginia.edu for more info Please credit the University of Virginia Library upon use of this data

  10. U

    Data Set for Book Traces: Civil War Era Readers and Their Books in Virginia...

    • dataverse.lib.virginia.edu
    Updated Nov 29, 2021
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    Kristin Jensen (2021). Data Set for Book Traces: Civil War Era Readers and Their Books in Virginia Libraries [Dataset]. http://doi.org/10.18130/V3/XVEQMH
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 29, 2021
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Kristin Jensen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    UVA Vice President for Research 3 Cavaliers
    Description

    The data in this set concerns certain books published no later than 1870 and held in the circulating collections of 14 college and university libraries in Virginia and North Carolina. It was collected by University of Virginia student research assistants as part of the project "Book Traces: Civil War Era Readers and Their Books in Virginia Libraries." They surveyed the books on site at the holding libraries, looking for handwritten marginalia and other artefactual traces of the books' historical readers. The data set includes a spreadsheet (in TSV format) of data about the books and representative photos of the marginalia found in them.

  11. U

    Sunnyside House - 3D Data

    • dataverse.lib.virginia.edu
    Updated May 9, 2022
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    will rourk; MaryCate Azelborn; Pavithra Bhaskaran; Ceara Charmagne Davis; Emelia Grace Lehmann; Vanessa D'Souza (2022). Sunnyside House - 3D Data [Dataset]. http://doi.org/10.18130/V3/LMLXKQ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 9, 2022
    Dataset provided by
    University of Virginia Dataverse
    Authors
    will rourk; MaryCate Azelborn; Pavithra Bhaskaran; Ceara Charmagne Davis; Emelia Grace Lehmann; Vanessa D'Souza
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Virginia, United States, Charlottesville
    Description

    This is the 3D documentation data for the Sunnyside/Duke Tract House, Charlottesville, Virginia; original structure founding date ca. 1780s; The data was collected (2022-03-04, 2022-03-11) and processed by students of ARH5600 : 3D Cultural Heritage Informatics, Spring 2022; data collected with FARO Focus 3D lasers scanners - (1) S120, (2) X130; data processed with FARO Scene v. 2021; LINKS TO DATASETS ARE FORTHCOMING - contact Will Rourk for more information at will@virginia.edu. Please credit the University of Virginia Library upon use of this data

  12. U

    Antimicrobial target discovery with metabolic network models

    • dataverse.lib.virginia.edu
    Updated Apr 22, 2019
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    Anna Blazier (2019). Antimicrobial target discovery with metabolic network models [Dataset]. http://doi.org/10.18130/V3/XF0AVD
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 22, 2019
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Anna Blazier
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Supplementary data for Anna Blazier's dissertation entitled "Antimicrobial target discovery with metabolic network models"

  13. U

    Fralin - Skyphos

    • dataverse.lib.virginia.edu
    Updated Apr 14, 2022
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    will rourk (2022). Fralin - Skyphos [Dataset]. http://doi.org/10.18130/V3/WXMJLR
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 14, 2022
    Dataset provided by
    University of Virginia Dataverse
    Authors
    will rourk
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Skyphos ; Creaform Zscanner 700 CX ; 3D mesh data

  14. U

    Solenoid

    • dataverse.lib.virginia.edu
    Updated Jul 29, 2026
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    Joe Garofalo (2026). Solenoid [Dataset]. http://doi.org/10.18130/V3/QKHVG8
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 29, 2026
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Joe Garofalo
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Make to Learn solenoid can be used to explore principles of electricity and magnetism. This solenoid can be used with the Linear Motor in the Engineering Section.

  15. U

    Fralin - Euboean Hydria

    • dataverse.lib.virginia.edu
    Updated Apr 15, 2022
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    will rourk (2022). Fralin - Euboean Hydria [Dataset]. http://doi.org/10.18130/V3/TZMLKK
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 15, 2022
    Dataset provided by
    University of Virginia Dataverse
    Authors
    will rourk
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Euboea Island
    Description

    Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Euboean Hydria; Creaform Zscanner 700 CX ; 3D mesh data

  16. U

    Bellona_Jon_2018_PhD_audio_examples

    • dataverse.lib.virginia.edu
    Updated Apr 28, 2018
    + more versions
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    Jon Bellona (2018). Bellona_Jon_2018_PhD_audio_examples [Dataset]. http://doi.org/10.18130/V3/AFKEDG
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 28, 2018
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Jon Bellona
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Audio examples related to Jon Bellona's 2018 PhD Dissertation entitled, Physical Composition: The Musicality of Body Movement on Digital Musical Instruments.

  17. U

    Pediatric Academic Societies 2024 NICU Mortality Prediction Challenge

    • dataverse.lib.virginia.edu
    Updated May 14, 2025
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    Ian German Mesner (2025). Pediatric Academic Societies 2024 NICU Mortality Prediction Challenge [Dataset]. http://doi.org/10.18130/V3/5UYB4U
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2025
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Ian German Mesner
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Dataset for the Pediatric Academic Societies 2024 NICU Mortality Prediction Challenge

  18. U

    Fralin - Corinthian Kotyle

    • dataverse.lib.virginia.edu
    Updated Apr 14, 2022
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    William Rourk (2022). Fralin - Corinthian Kotyle [Dataset]. http://doi.org/10.18130/V3/3I825Q
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 14, 2022
    Dataset provided by
    University of Virginia Dataverse
    Authors
    William Rourk
    License

    https://dataverse.lib.virginia.edu/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.18130/V3/3I825Qhttps://dataverse.lib.virginia.edu/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.18130/V3/3I825Q

    Description

    Fralin 3D ; Laser scan data of greek vase from the Fralin Museum - Corinthian Kotyle ; Creaform Zscanner 700 CX ; 3D mesh data

  19. U

    Pre-K Star Math Manipulative

    • dataverse.lib.virginia.edu
    Updated May 20, 2024
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    Rachel Reed (2024). Pre-K Star Math Manipulative [Dataset]. http://doi.org/10.18130/V3/FCQUI7
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 20, 2024
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Rachel Reed
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The design is for 15 star manipulative. 5 large blue stars, 5 medium green stars, 5 small yellow stars. All stars have holes in the center and can be stacked on one of two base boards. The design is based the book How to Catch a Star by Oliver Jeffers. The book provides the context for the math word problems that will be asked. The manipulative is tactile so students can use objects to think with. This manipulative is targeted to 3 and 4 year olds. It is designed to teach one-to-one correspondence up to 15, patterning, math vocabulary, and addition and subtraction. The goal was to create a manipulative with different colors and sizes that could be used to teach students to count, create patterns, to learn math vocabulary (big, small, compare, different, attribute), and to explore addition and subtraction word problems.

  20. U

    Eosinophilic Esophagitis E-121_B

    • dataverse.lib.virginia.edu
    Updated Nov 12, 2024
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    Saurav Sengupta (2024). Eosinophilic Esophagitis E-121_B [Dataset]. http://doi.org/10.18130/V3/XOKBZV
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 12, 2024
    Dataset provided by
    University of Virginia Dataverse
    Authors
    Saurav Sengupta
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Eosinophilic esophagitis (EoE) is an inflammatory disease diagnosed by ≥15 intraepithelial eosinophils (Eos) in an esophageal biopsy high-power field. This is a Whole Slide Image (WSI) containing eosinophils that we use to train an AI model to automatically detect and count these cellular structures in a given image to reduce the data annotation burden on clinicians and pathologists.

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Johanna Loomba (2026). Sample Public Dataset File [Dataset]. http://doi.org/10.18130/V3/GV6QTI

Sample Public Dataset File

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 29, 2026
Dataset provided by
University of Virginia Dataverse
Authors
Johanna Loomba
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

RDE Reseachers can index, share and manage private research data in the RDE Private Data Enclave. The system also supports public sharing of metadata (descriptive details related to research projects and datasets). Publishing these details is controlled by project owners and dataset admins. The dataset admins may ALSO elect to publish their dataset files in which case they will be assigned a permanent DOI (digital object identifier) and become visible to any public user in a variety of locations: the RDE Public Data Commons, UVA LibraData, and a variety of data search engines that harvest and expose dataverse metadata.

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