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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,171 datasets
The National Paediatric Diabetes Audit 2024-25 includes data on seven key health checks for infants, children and young people with type 1 diabetes under 25 in England, Wales and Jersey. It contains information on patient characteristics, completion of health checks, and outcomes achieved as recommended by the National Institute for Clinical Excellence. The data were published in 2026 by the Healthcare Quality Improvement Partnership.
A 2026-updated geospatial dataset of public and private acute hospitals and nursing posts within Western Australia. The data is maintained by the Department of Health through environmental monitoring and provider requests. Specific row and column counts are unavailable.
Emily Gower authored a Data Management and Sharing Plan for research on maximizing outcomes of repeat trichiasis surgery performed by integrated eye care workers. The plan, harvested by ODUM Dataverse, describes the scientific data to be generated and outlines a strategy for managing and sharing project data. It was last updated on April 27, 2026.
Emily Gower's Data Management and Sharing Plan outlines the scientific data strategy for the R33 Transfer project 'Using Image Recognition Technology and Smartphones to Improve Trichiasis Surgery Outcomes'. The plan describes the data to be generated and/or used in the research and details a strategy for managing and sharing project data. It was last updated on 2026-04-27.
A Data Management and Sharing Plan outlines the scientific data strategy for a clinical research project. The project, named OraRad IPDP, investigates the effectiveness of an early intensive preventive dental program by oncology providers for head and neck cancer patients. The plan was authored by Lauren Patton and last updated on April 27, 2026.
A Data Management and Sharing Plan authored by Sarah Nyante for research on improving outcomes in the breast cancer screening and diagnostic continuum. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. It was last updated on 2026-04-27.
Roy-Chaudhury, Prabir authored a Data Management and Sharing Plan for research on vascular access and kidney care priorities from a patient perspective. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The record was last updated on April 27, 2026.
Laura Jacox's Data Management and Sharing Plan outlines the strategy for handling scientific data from a study on orthognathic jaw surgery. The plan, harvested by ODUM and last updated on 2026-04-27, describes the data to be generated and/or used in the research. It provides a framework for managing and sharing project data related to lingual gestures.
A Data Management and Sharing Plan outlines the scientific data strategy for an STTR project focused on SV2A PET tracers. The plan describes data to be generated for scalable cGMP production using photoredox chemistry, intended for clinical trials and early Alzheimer's disease diagnosis. It was authored by Zhanhong Wu and harvested by ODUM.
McGinigle, Katharine (Kate) authored this Data Management and Sharing Plan for the LEADER-PAD clinical trial. The document outlines the strategy for managing and sharing scientific data generated from a study on low-dose colchicine for peripheral artery disease. It was last updated on April 27, 2026.
A Data Management and Sharing Plan for the TIMELY2 research project, authored by Saira Sheikh and hosted by ODUM Harvested Dataverse. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. The record was last updated on 2026-04-27.
A Data Management and Sharing Plan authored by Claire Dees for The Ohio State University as a Lead Academic Organization. The plan describes the scientific data to be generated and/or used in research for the Experimental Therapeutics Clinical Trials Network. It was last updated on 2026-04-27.
A Data Management and Sharing Plan outlines the scientific data to be generated and used in a clinical research project. The plan describes a Phase 2 trial investigating the drug Epcoritamab in patients with previously treated Waldenstrom Macroglobulinemia. The document was authored by Christopher Dittus and last updated on April 27, 2026.
A Data Management and Sharing Plan outlines the scientific data to be generated for a clinical research project. The project investigates using a maximum inspiratory pressure monitor to predict postoperative breathlessness and improve the safety of brachial plexus blocks for shoulder surgery in obese patients. The plan was authored by Monika Nanda and is hosted by ODUM Harvested Dataverse.
Gotz, David authored a Data Management and Sharing Plan for the research project 'Supervised Weighted Distances: Patient Similarity to Explain Clinical AI Models'. The plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data. It was last updated on 2026-04-27.
A dataset and statistical analysis from a study on lumbar discectomy surgery. The data likely contains variables related to MRI-based disc herniation zones and surgical corridor grades. It was published by ragab, ahmed on Harvard Dataverse and last updated on 2026-05-06.
A Russian-language dataset for medical question-answering tasks. It contains 50 synthetic samples, suggesting it is artificially generated for testing or prototyping. The dataset is hosted on Kaggle.
Dental X-ray images likely collected for clinical or research purposes. The dataset is hosted on Kaggle, a platform for sharing datasets. The specific source, collection method, and temporal coverage are unknown.
Gearbox Fault Diagnosis Data set is a Kaggle dataset likely containing measurements for detecting mechanical failures. The dataset's specific size, features, and collection details are unknown. Its primary purpose appears to be for developing predictive maintenance models.
NOAA's National Oceanographic Data Center provides pathology data from examinations of diseased marine invertebrates, primarily from laboratory analyses conducted between 1973 and 1980. The collection includes catch statistics and biological condition reports for selected specimens. Data were last updated in the NCEI archive in September 1978.