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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,756 datasets
Three high-resolution X-ray micro-tomography datasets of carbonate reservoir rock samples. The samples were waterflooded at subsurface conditions and aged to restore mixed-wettability, characterized by in situ effective contact angle measurements. The data was produced by Amer M. Alhammadi of Imperial College London and is associated with a 2017 publication in Scientific Reports.
Official statistics from the UK Ministry of Defence detail Armed Forces personnel treated for injury or illness after returning from Iraq and Afghanistan. The data covers patients treated at the Royal Centre for Defence Medicine and the Defence Medical Rehabilitation Centre Headley Court. Last updated on July 8, 2026, the report is designated as Official Statistics not designated as National Statistics.
Cumulative health worker counts from 2010 to June 2018, sourced from the National Database of Human Resources for Health Information System (NDHRHIS). The data covers hospitals and clinical laboratories that self-registered, representing an estimated 60% of licensed private and public facilities. It was published by OCHA Philippines and last updated in June 2026.
A monthly-updated list of all financial transactions over £25,000 made by Bridgewater Community Healthcare NHS Trust. The data is published as part of the UK Government's commitment to transparency in public expenditure. The trust was formed from Ashton, Leigh and Wigan Community NHS Trust on 1 April 2011.
Five key performance indicators for Accident and Emergency departments in England, sourced from provisional Hospital Episode Statistics data. NHS Digital publishes this report to stimulate discussion on care quality between patients, clinicians, and commissioners. The data is provisional and may be revised throughout the year.
Anonymized patient-level data from the NHS Safety Thermometer, a national tool for measuring and monitoring patient harms. The dataset is managed by NHS South, Central and West Commissioning Support Unit on behalf of NHS Improvement and is published in rolling twelve-month periods. Files require Microsoft Excel 2007 or later and are available under the OGL-UK-3.0 license.
Continuous Fast Repetition Rate Fluorometry (FRRF) data collected at 1-minute intervals from seawater at 3 m depth aboard the RV L'Astrolabe from January 22 to 27, 2003. The dataset includes measurements of maximum photochemical efficiency of photosystem II (Fv/Fm), a key indicator of phytoplankton health and potential primary production. It was collected by the Australian Ocean Data Network on a voyage from Dumont d'Urville to Hobart.
Eight key care processes for infants, children and young people under 25 with diabetes in England, as audited for the 2010-11 period. The dataset was published by the Healthcare Quality Improvement Partnership in September 2012. It measures adherence to NICE-recommended processes including HbA1c, BMI, and eye screening.
Two data sets present the triage and diagnostic accuracy of 22 commonly used symptom checker apps sampled in 2020. The apps were tested on 45 fictitious patient case vignettes, yielding 796 unique triage evaluations and 520 unique diagnostic evaluations. The data was collected by Anna Dames for an MSc degree at Technische Universität Berlin and supplements a 2022 paper.
From March 6 to April 3, 2020, this dataset includes lung ultrasonography (LUS) features and clinical outcomes for 80 PCR-confirmed COVID-19 patients from Lausanne University Hospital. It was created by Thomas Brahier and colleagues for a prospective observational cohort study. The data likely contains LUS scores and patterns used to stratify patients into self-resolving outpatient, hospitalized, and intubated/death groups.
Carolina Hart Rodés from Universidade de São Paulo created a dataset analyzing the distribution of rehabilitation professionals in Brazil's Health Care Network from 2007 to 2015. The data estimates monthly trends for speech, physical, and occupational therapists across primary, medium, and high complexity services using the Brazilian National Register of Health Establishments. It also includes qualitative insights from interviews with 12 professionals regarding Extended Clinical Care, Singular Therapeutic Project, and Matrix Support practices.
58 average class hours were found for radiology-related subjects across Medicine, Physiotherapy, and Biomedicine courses in southern Brazil. The dataset was created by Gabriela Augusta Mateus Pereira from an analysis of course curricula at public and private undergraduate institutions. It likely contains tabular data on class hours and correlations between total course hours and radiology-specific instruction.
The TCGA cohort provides 411,890 unique image patches from formalin-fixed paraffin-embedded diagnostic slides of colorectal and gastric cancer patients. These 224x224 pixel patches are preprocessed with tumor detection, color normalization, and are labeled for microsatellite stability status. The dataset is structured for machine learning, with patient-level randomization into training and test sets for classification tasks.
218,578 unique image patches derived from histological images of colorectal and gastric cancer patients in the TCGA cohort. The dataset was created by Jakob Nikolas Kather of RWTH Aachen University and includes preprocessed snap-frozen tissue slides. Images are split into training and test sets for MSS and MSIMUT tumor classifications.
190 preprocessed histopathological image tiles derived from the TCGA-BRCA breast cancer dataset. The data includes 100 images from Walter Reed National Military Medical Center (A2 cohort) and 90 images from Roswell Park Comprehensive Cancer Center (E2 cohort), processed by Jakob Nikolas Kather at RWTH Aachen University. Images are 256x256 pixel JPEG tiles, color-normalized using the Macenko method, and accompanied by clinical and slide metadata tables.
A statistical shape model constructed from 3D surface scans of craniosynostosis patients, created by Matthias Schaufelberger of Karlsruhe Institute of Technology. It includes a full shape model, a texture model, and submodels for four classes of cranial suture fusion and a control group. The dataset provides 100 mesh instances per pathology class for analysis and synthesis.
A cross-sectional study of 322 community-dwelling older women with a recent episode of acute low back pain, assessing the risk of sarcopenia. The research was conducted as part of the Back Complaints in the Elders (BACE) epidemiological study. Data includes walking speed, grip strength, pain intensity, and mobility/balance measurements.
Qualitative interview transcripts from 28 bereaved caregivers of adolescents and young adults (AYAs) with cancer who died between 2013 and 2016. The data was collected by researchers from Harvard University Press and focuses on barriers to optimal end-of-life care. Interviews were conducted with caregivers from three U.S. university medical sites.
4 files each for computed laminography and limited-angle CT data of a lego sample, including raw projections and reconstructions. The CL reconstruction is 798x798x200 voxels, and the CT reconstruction is 798x798x798 voxels. This data accompanies a 2019 Measurement Science and Technology publication by researchers including Sarah L Fisher from the University of Manchester.
Mario Gaudino and colleagues from Cornell University published a 2022 study comparing long-term results of surgical ventricular reconstruction (SVR). The dataset likely contains individual patient data from 725 patients at San Donato Hospital and 501 patients from the STICH trial, with follow-up data up to 4 years. The study analyzed outcomes including all-cause mortality and left ventricular end-systolic volume index (LVESVI).