Datasets from the UVA Resource and Data Exchange (RDE) that have been made public by UVA researchers. These datasets can be browsed here. Each dataset also contains a link to its respective RDE Public Data Commons location in a field titled "Other Location for Dataset".
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1 to 10 of 157 Results
May 18, 2026
Loomba, Johanna, 2026, "Published Dataset File", https://doi.org/10.18130/V3/LFHOUW, University of Virginia Dataverse, V2
This file is being shared here to demostrate the file publishing capabilities of the RDE.
Feb 3, 2025
Nelson, Skyler, 2024, "Complete parameters: Demographics; Medical History; Image Results; Medication; Laboratory Results; Cardiovascular Questionares", https://doi.org/10.18130/V3/MBURD6, University of Virginia Dataverse, V3
All paramaters collected and measured for patients enrolled.
Jan 28, 2025
Naik, Bhiken; Folks, Ryan; Kluyts, Hyla; Banguti, Paulin, 2025, "Sub Saharan Africa Surgical Outcomes Datasheet", https://doi.org/10.18130/V3/M7HJHL, University of Virginia Dataverse, V2
A datasheet for the Sub Saharan Africa Surgical Outcomes Dataset from the paper "Datasheets for Datasets" https://doi.org/10.48550/arXiv.1803.09010. Provides a Q&A of the most common and pertinent questions concerning this dataset.
Jan 28, 2025
Naik, Bhiken; Folks, Ryan; Kluyts, Hyla; Banguti, Paulin, 2025, "Sub Saharan Africa Surgical Outcomes Dataset: Site 2", https://doi.org/10.18130/V3/7HHLWM, University of Virginia Dataverse, V2
This dataset includes 2066 intraoperative anesthesia records from an academic center in sub-Saharan Africa. The team photographed completed intraoperative anesthesia records using a smartphone, de-identified the images, and securely uploaded them to a HIPAA-compliant server. The team collected the following comprehensive intraoperative data: demogr...
Jan 28, 2025
Naik, Bhiken; Folks, Ryan; Kluyts, Hyla; Banguti, Paulin, 2025, "Sub Saharan Africa Surgical Outcomes Dataset: Site 1", https://doi.org/10.18130/V3/3ITQE4, University of Virginia Dataverse, V2
This dataset includes 598 intraoperative anesthesia records from an academic center in sub-Saharan Africa. The team photographed completed intraoperative anesthesia records using a smartphone, de-identified the images, and securely uploaded them to a HIPAA-compliant server. The team collected the following comprehensive intraoperative data: demogra...
Jan 28, 2025
Naik, Bhiken; Folks, Ryan; Kluyts, Hyla; Banguti, Paulin, 2025, "Sub Saharan Africa Surgical Outcomes Data Dictionary", https://doi.org/10.18130/V3/UEAUUR, University of Virginia Dataverse, V2
A data dictionary for the Sub Saharan Africa Surgical Outcomes Dataset.
Jan 28, 2025
Loomba, Johanna, 2024, "Sample Public Dataset File", https://doi.org/10.18130/V3/GV6QTI, University of Virginia Dataverse, V5
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...
Dec 18, 2024
Giventer, Ariel, 2024, "UVA EoE images with masks", https://doi.org/10.18130/V3/GB5YVH, University of Virginia Dataverse, V2
EoE images with masks of annotated eosinophils.
Nov 12, 2024
Sengupta, Saurav, 2024, "Eosinophilic Esophagitis E-16_5", https://doi.org/10.18130/V3/LMS8LQ, University of Virginia Dataverse, V2
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 bu...
Nov 12, 2024
Sengupta, Saurav, 2024, "Eosinophilic Esophagitis E-16_4", https://doi.org/10.18130/V3/WVPNBN, University of Virginia Dataverse, V2
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 bu...
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