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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,748 datasets
The third prospective year of the UK National Cataract Audit collected data from 101 participating centres. It reports case ascertainment and adjusted rates for posterior capsular rupture and visual acuity loss for NHS Trusts, Welsh Health Boards, and Independent Sector Treatment Centres. The data was gathered by the Healthcare Quality Improvement Partnership as part of routine clinical care.
Latest results and trends from the women's smoking status at time of delivery (SATOD) data collection in England. The report provides a measure of smoking prevalence among pregnant women at Commissioning Region, Area Team, and Clinical Commissioning Group levels, supplementing national information from the Infant Feeding Survey. It is published by NHS Digital under the OGL-UK-3.0 license.
Monthly provisional statistics for NHS hospital activity in England, covering inpatient care, outpatient appointments, and A&E attendances since April 2007. The data is produced by NHS Digital and published as summary statistics in CSV files. It is intended as an estimate until final annual National Statistics are released.
95% of all new hip fracture cases in England, Wales, and Northern Ireland are captured by the National Hip Fracture Database, the largest such database in the world. The 2014 ASAP report profiles hospital compliance with peri-operative care standards for patients over 60 who had surgery between May and July 2013. This audit was funded by the Healthcare Quality Improvement Partnership and incorporated into the Royal College of Physicians' Falls and Fragility Fracture Audit Programme.
Recordings from critically-ill patients during routine clinical care, extracted from the MIMIC III Waveform Database. The collection includes separate datasets for atrial fibrillation detection (35 subjects) and training/testing (200 subjects each, split between adults and neonates). The data was made available by Peter Charlton of the University of Cambridge.
An R-based epidemiological model simulates the transmission dynamics of antibiotic-resistant and sensitive bacterial strains in a hospital and its catchment area. The model, authored by Esther van Kleef from the University of Oxford, includes functions for running simulations, calculating R0, and generating plots. It was used to test the reasoning behind discordant changes in bacterial strain prevalence relative to infection control measures.
The TIHM dataset contains longitudinal observational data collected from the homes of 56 People Living with Dementia (PLWD). It includes an average of 50 days of data per participant, totalling 2803 days of daily activity, physiological monitoring, and labeled health-related events. The data was collected by the Technology Integrated Health Management project and is provided by Imperial College London for research and patient benefit.
The 2020-2021 NHS year (01/04/2020 to 31/03/2021) of the National Age-related Macular Degeneration Audit, covering eyes starting treatment for neovascular AMD. Data was collected from 63 participating clinical centres across the UK as part of routine care, with results reported for centres meeting minimum data thresholds. The audit is produced by the Royal College of Ophthalmologists.
Directly Age-Standardised Rates for emergency hospital admissions due to fractured neck of femur for persons aged 65 and over, broken down by gender. The data is published by the Office for Health Improvement and Disparities (OHID) as part of the Public Health Outcomes Framework and is updated annually. It is hosted by Lincolnshire County Council and was last updated on July 8, 2026.
UK data on emergency hospital admissions for falls among people aged 65 and over, using Directly Age-Standardised Rates (DASR) for area comparisons. The dataset is produced by the Office for Health Improvement and Disparities (OHID) as part of the Public Health Outcomes Framework and is updated annually. It focuses on primary diagnosis of injuries, which may result in lower counts compared to using all diagnoses.
From December 31, 2007, to January 5, 2008, this dataset contains continuous measurements of phytoplankton photosynthetic parameters collected via Fast Repetition Rate Fluorometry (FRRF) aboard the RV L'Astrolabe during a voyage from Hobart to Dumont d'Urville. It was contributed by the Australian Ocean Data Network and includes measurements of maximum photochemical efficiency (Fv/Fm), absorption cross-section, and chlorophyll concentration. Seawater was sampled from 3 meters depth at one-minute intervals in a dark-adapted state.
A deprecated list of indicators from the Global Health Cluster for monitoring health conditions, calculating the number of People in Need, and assessing the severity of their needs. The dataset is provided by the Health Cluster organization and was last updated on 2026-07-18. An updated version of this indicator list is available at a specified URL.
OSNI Open Data provides a Digital Terrain Model (DTM) for Northern Ireland, consisting of a grid of regularly spaced points of known height. The dataset includes two resolutions: 10-meter and 50-meter DTMs, which can be combined with other geospatial data to create 3D land surface images. It is published as open government data under the LPS Open Government Data Licence.
94.4% agreement was found between a classification method using the Brazilian National Registry of Healthcare Establishments (CNES) and a prior manual classification. The dataset likely contains records from 2002 to 2016, showing a 31.2% relative increase in tuberculosis care provided by basic services. Daniele Maria Pelissari from Universidade de São Paulo authored the study validating this method for analyzing healthcare decentralization trends.
Practice demographic data are extracted as a quarterly snapshot in time from the GP Payments system maintained by the Health and Social Care Information Centre. Data for GP Practices with 100 or fewer registered patients has been suppressed due to possible identification of individuals. From April 2017, the frequency of this release has changed to monthly, and file structure has changed to include separate files for males, females, and all persons by commissioning region.
The Great Barrier Reef Lagoon is the focus of this dataset, which traces the origin and fate of environmentally detrimental sediment affecting coral and seagrass health. The project, led by the Australian Ocean Data Network, characterizes sediment using samples collected from flood plumes and resuspension events between 2016 and 2018. This data aims to enable targeted catchment management to improve reef health.
Recent research shows only a portion of fine sediment from rivers reaches Great Barrier Reef coral reefs and seagrass meadows. This project, for the first time, characterized and traced the origin, fate, and nutrient bioavailability of this environmentally detrimental sediment using samples from flood plumes and resuspension events. The data was collected by the Australian Ocean Data Network and last updated in July 2026.
United Nations Sustainable Development Goal Target 3.2 aims to reduce neonatal mortality. This dataset, from a study by Christiane Hagel of the University of Oxford, investigates implementation experiences of the District Health Information Software (DHIS2) for collecting neonatal hospital data in low- and middle-income countries, with a focus on Kenya. The research maps information flows and identifies challenges in people-based and paper-based subsystems that precede digitization.
High-dimension TIFF images, single-cell and tumor/stroma masks, and single-cell patient data support the findings of the publication "The Single-Cell Pathology Landscape of Breast Cancer". The dataset, associated with the University of Zurich, includes spillover-corrected single-cell data for downstream R analysis. Original mask files contain labels from CellProfiler, while exported data uses sequential labels from histoCAT.
The STEMPO phantom dataset includes 2D and 3D data from static, continuous 360-degree, and sequential 8x45 projection scans, with downsampling factors of 4, 8, 16, or 32. Created by Tommi Heikkilä of the University of Helsinki, the data is designed to test and validate novel dynamic tomography reconstruction methods. The dataset includes example algorithms for analytic and iterative reconstruction methods and is intended to be appended with new data in the future.