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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,153 datasets
UNICEF Data and Analytics (HQ) provides a dataset on the percentage of women aged 15-49 attended at least once during pregnancy by skilled health personnel. The dataset, last updated in March 2026, is available in CSV and XML formats under a CC-BY-3.0-IGO license. It likely contains tabular data tracking this key maternal health indicator.
UNICEF Data and Analytics (HQ) provides a global health indicator tracking the percentage of children under five with acute respiratory infection symptoms for whom care was sought. The dataset, last updated in March 2026, is licensed under CC-BY-3.0-IGO and is available in CSV and XML formats.
UNICEF Data and Analytics (HQ) provides a dataset on the proportion of health care facilities with basic water services. The data measures the percentage of facilities with water available from an improved source located on premises. It was last updated on March 26, 2026.
UNICEF Data and Analytics (HQ) provides a dataset on the proportion of healthcare facilities with basic waste management services, last updated on 2026-03 26. The data measures the percentage of facilities where waste is safely segregated into at least three bins and sharps and infectious waste are treated and disposed of safely. It is available in CSV and XML formats under a CC-BY-3.0-IGO license.
The Axios/Ipsos American Health Index – Wave 11 is a survey dataset likely tracking health-related attitudes and behaviors in the United States. It was authored by Axios and published via the Roper Harvested Dataverse. The dataset was last updated on May 21, 2026.
Project Imaging-X consolidates over 1000 open medical imaging datasets worldwide to break down data silos. The initiative, authored by lingcarzy, aims to build foundational infrastructure for next-generation medical AI models. It was last updated on April 5, 2026.
Huac Labeled Chest Xray Reports is a dataset published on the Hugging Face platform by author guilhermenf. The dataset was last updated on 2026-05-24. The title suggests it contains chest X-ray reports with labels, but the specific content, size, and structure require verification.
Project Imaging-X consolidates over 1000 open medical imaging datasets worldwide to build foundational infrastructure for medical AI. The initiative, led by General-Medical-AI, systematically integrates these datasets to break down data silos. It was last updated in April 2026.
Cardiovascular Data is a simulated clinical dataset for multivariate analysis techniques like PCA and biplot. The dataset is hosted on Kaggle, but its author, organization, and creation details are unspecified. The description indicates it contains simulated patient records, though the exact number of rows and features is unknown.
A 2026 dataset from NASA examines the molecular effects of spaceflight on bone fracture healing using a mouse model. Forty male C57BL/6J mice were randomized into ground and spaceflight groups, with surgeries performed 4 days before launch and a 4-week mission on the International Space Station. Data includes micro-computed tomography (µCT) scans and global transcriptomic and metabolomic assays from callus and sham tissue.
Synthetic triage data includes 1 million clinical records of non-verbal patients who have been bitten. The dataset is hosted on Kaggle, but its author, organization, and specific geographic or temporal coverage are unknown.
Australian Capital Territory survey data on self-rated health, published by the ACT Government's Health Protection Service. The dataset was last updated in March 2026 and is available in multiple formats including CSV and JSON.
A Data Management and Sharing Plan outlines the scientific data to be generated and/or used in the research project 'Electrocardiographic Detection of Non-ST Elevation Myocardial Events for Accelerated Classification of Chest Pain Encounters (ECG-SMART 2)'. The plan describes a strategy for managing and sharing project data. It was authored by Jessica Zegre-Hemsey and last updated on May 11, 2026.
A Data Management and Sharing Plan (DMS) outlines the strategy for handling scientific data for the STOP PEDS RCT, a clinical trial focused on pediatric respiratory health. The plan likely contains structured text describing data types, sharing protocols, and governance for the associated research. Its cross-platform presence on Dataverse indicates a formalized approach to research data stewardship.
A Data Management and Sharing Plan outlines the strategy for handling scientific data generated for research on patient pathway models of Minimal Residual Disease status. The plan was authored by Adam Palmer and harvested by ODUM. Its last recorded update was scheduled for May 11, 2026.
A Data Management and Sharing Plan outlines the scientific data to be generated for a research project on Choroideremia. The plan describes data to be used in validating patient-reported outcome measures and correlating them with visual function and structural outcomes. It was authored by Yang Zhang and is hosted on the Dataverse platform.
A Data Management and Sharing Plan outlines the strategy for handling scientific data generated by a research project. Authored by Vivian Go and hosted on the ODUM Harvested Dataverse, this plan was last updated on May 11, 2026. It describes the data to be used in a study employing a standardized patient approach to combat HIV stigma in healthcare settings.
One-hour interviews covered demographics, education, training, and healthcare service experience. The data likely contains information on commodity management, perceived stockouts, time away from facilities, job satisfaction, and burnout. It was authored by Tumlinson, Kat and last updated on 2026-04-27.
Sam Lai authored a Data Management and Sharing Plan for an SBIR project. The plan describes scientific data to be generated for developing MM010, a PEG-specific intervention for acute lymphoblastic leukemia patients. It outlines a strategy for managing and sharing project data related to blocking allergic responses and restoring repeated dosing of peg-asparaginase.
A Data Management and Sharing Plan outlines the scientific data to be generated and/or used in a research project. It was authored by Nilu Goonetilleke and is associated with the AIDS Clinical Trial Group Laboratory Center. The plan was last updated on May 11, 2026.