Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,178 datasets
Colorado county-level statistics from the state's Medical Marijuana Registry Program, current as of January 31, 2014. The dataset includes the number of registered patients and the corresponding percentage of the population per county. It was published by data.colorado.gov and last updated on the platform in February 2026.
Supplementary text and figures from a research study on how early life environments shape adult cardiometabolic health during rapid lifestyle change. The dataset was published by author Rachel Petersen on the figshare platform under a CC-BY-4.0 license. It was last updated on April 10, 2026.
Pediatric Prevention Quality Indicators (PDI) from the Agency for Healthcare Research and Quality measure potentially preventable hospitalizations for conditions like asthma and diabetes. The dataset provides observed, expected, and risk-adjusted rates per 100,000 people for New York State resident zip codes beginning in 2009. Rates were calculated using SPARCS inpatient data and Claritas population information.
Supermicrosurgery, involving vessels smaller than 0.8 mm, is an important surgical technique. The dataset appears to contain a scale or scoring system for evaluating anastomosis procedures in this specialized field. The author, organization, and specific data volume are unknown.
Rachel Petersen published supplementary tables on figshare under a CC-BY-4.0 license on April 10, 2026. The data likely contains tabular results supporting research on how early life environments influence adult health outcomes during periods of rapid lifestyle change. The specific number of tables, rows, and variables is not detailed in the available metadata.
En Li's 'diagnostic system data' is a tabular medical dataset available under a CC-BY-4.0 license. The dataset is 42,546 bytes in size and was last updated in March 2026. Its specific columns and row count are not detailed in the metadata.
XRay_dataset is a collection of medical images hosted on Kaggle. The dataset likely contains chest X-ray scans, though the specific number of images, collection source, and time period are unconfirmed. Metadata is minimal; users must verify the actual content after download.
Hospital patient data published on Kaggle. The dataset's specific contents, such as patient demographics or clinical outcomes, are not detailed in the available metadata. Its size, origin, and update history are unknown.
Colorado's Medical Marijuana Registry Program data as of April 30, 2014, aggregated by county. The dataset lists the number and percentage of patients reporting specific medical conditions for which they use marijuana. Some patients are counted for more than one condition, causing the total percentage to exceed 100%.
A collection of images depicting tomato leaf diseases, sourced from real-world conditions in Pakistan. The dataset is hosted on Kaggle, but specific details on volume, collection dates, and authorship are not provided in the available metadata. The content likely contains visual examples of various plant health conditions for analysis.
Accumulated data from clinical, observational and psychometric studies of the men who wintered over at Scott Base in successive parties was collected since the 1966/67 season. The dataset, sourced from NASA EarthData and the organization SCIOPS, was last updated in 1967. Its purpose was to determine any changes and compare essential features of profiles obtained by psychometric means.
Eye disease models likely contain image data for training diagnostic algorithms. The dataset is hosted on Kaggle, a platform for sharing machine learning datasets. Specifics on the number of images, contributing institutions, and collection dates are not provided in the available metadata.
Ultralytics brain tumor detection dataset contains medical images from MRI or CT scans. The dataset, created by ICPCartem and updated in December 2025, provides annotations for tumor presence, location, and characteristics to train computer vision algorithms.
A dataset for detecting and classifying biomedical waste, hosted on Kaggle. The specific contents, scale, and creation details are not provided in the available metadata. The dataset likely contains images intended for training machine learning models in waste segregation tasks.
21 system-approved receiving facilities in the Austin area are tracked, including Cedar Park Regional Medical Center and Dell Children's Medical Center. The City of Austin provides monthly counts of patient transports to each facility, with a destination category for 'Other/Missing' data. Row and column counts are unknown.
Patient length of stay (LOS) data, likely containing records of hospital admissions. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. Metadata is minimal; actual content requires verification after download.
Air transportation safety investigation report A19P0187 details a Cessna 172H collision with terrain near Tofino/Long Beach Airport, British Columbia, on 21 December 2019. The report is authored by the Transportation Safety Board of Canada and was last updated in March 2026.
South Asian electronic health record data supports large language model fine-tuning and validation for clinical note processing. The dataset, authored by Seyed Alireza Hasheminasab and updated in March 2026, focuses on medical concept extraction and health equity analysis. Specific row and column counts are not provided.
Chest X-Ray Version 3 is a collection of preprocessed chest X-ray images categorized into NORMAL and PNEUMONIA classes. The dataset appears to be hosted on Kaggle, but details on its size, origin, and license are unknown. Its last update date is also unspecified.
A single-center study from the University Hospital of Sassari objectively tested olfactory and gustatory function in 72 COVID-19 patients. The research found that 73.6% of patients reported chemosensitive disorders, with hyposmia in 60 cases and hypogeusia in 33. The dataset was authored by Luigi Angelo Vaira of the University of Sassari.