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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,446 datasets
BD Common Disease Details likely contains structured information on widespread medical conditions. The dataset is published on Kaggle, but its specific source, size, and creation date are not provided. Its content may include details such as symptoms, treatments, or prevalence rates for various diseases.
Dental radiography images, likely sourced from Kaggle. The dataset's specific volume, collection method, and temporal coverage are not detailed in the provided metadata. Further verification is required to confirm its exact contents and scope.
Temperature-dependent x-ray diffraction text files for the Sr2IrO4 system, collected at Brookhaven National Laboratory. The data analysis is complete and was prepared for publication.
Electrocardiogram (ECG) and Seismocardiogram (SCG) signal data published on HuggingFace by Ming03. The dataset was last updated on March 26, 2026. Columns likely contain time-series physiological measurements, but specific details require verification.
A collection of fundus images for diabetic retinopathy detection. The dataset has been balanced and preprocessed, as indicated by its title. It originates from the APTOS-2019 Kaggle competition.
Radiography data, likely containing medical images such as X-rays, is hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and potential for analysis.
A document or collection of materials from the World Health Organization and UNICEF providing new guidance to promote breastfeeding in health facilities globally. The dataset is published on the Papers with Code platform under an Open Access (diamond) license. The specific format, size, and detailed content are not described in the available metadata.
A strategic analysis of immunotherapy expansion beyond oncology toward 2030, authored by unexakorea Inc. It discusses operational and data capabilities as critical differentiators for next-generation treatments. The dataset was last updated in February 2026.
MRI images of glioma, a type of brain cancer, are included in this healthcare dataset. The dataset is hosted on Kaggle, but its creator, size, and specific collection details are not provided. Its last update date and licensing information are also unknown.
SwasthyaSetu is a dataset focused on rural healthcare. It is published on Kaggle, but the author, organization, and specific data characteristics are unknown. The dataset's content and scale require verification after download.
A dataset of images for detecting diseases in rice leaves, sourced from Kaggle. The specific number of images, collection method, and time period are not detailed in the available metadata. Further details about the data's origin and characteristics require verification after download.
Grape leaf disease images published on Kaggle. The dataset likely contains visual examples of various plant health conditions affecting grapevines. Specific details on the number of images, collection method, and annotation quality are not provided in the available metadata.
A dataset titled 'hospital scenario' published on Kaggle. The dataset's specific contents, size, and origin are not detailed in the available metadata. Further details about the data's structure and collection methodology require verification after download.
Flu, Fever, Pandemic? is a dataset published on Kaggle. The raw description suggests it contains global data on seasonal infectious diseases. The specific source, collection method, and temporal coverage are unknown.
LASSO data bundles are unified packages for evaluating atmospheric large-eddy simulation (LES) models. The Alpha 2 release builds upon Alpha 1, adding diagnostics and focusing on cases from spring-summer 2016. Each bundle contains LES input and output, ARM observations, evaluation diagnostics, and model skill scores, created by William I. Gustafson.
Kaggle hosts CT scans of Carbon Fiber Reinforced Polymer (CFRP) materials. The dataset likely contains paired image sets captured at two different high-resolution scales of 6 micrometers and 3 micrometers per voxel. The author, organization, and exact size are unknown.
50,000 records provide insights into cancer risk factors, patient survival, and associated costs globally. The dataset likely contains aggregated patient-level information from the period 2015 to 2024. Its origin and specific collection method are not detailed in the provided metadata.
Since 1977, the TSCA Inventory has grown to include the identities of over 83,000 chemical substances. This dataset lists non-confidential chemical substances manufactured or imported in the United States. The U.S. Environmental Protection Agency maintains this list of non-confidential chemical substances submitted under the Toxic Substances Control Act to manage risks to human health and the environment.
A collection of health and safety documents for chemicals manufactured or imported into the United States, submitted to the EPA under the Toxic Substances Control Act. The tool provides full-text and metadata search capabilities, presenting results as downloadable PDFs alongside data from legacy EPA chemical databases. The U.S. Environmental Protection Agency is converting paper submissions into an electronic format for public access.
A healthcare image dataset includes human skin images bitten by mosquitoes. The dataset is hosted on Kaggle, but details on its size, collection date, and creator are unknown.