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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,208 datasets
Comprising anonymized demographics, clinical characteristics, and cerebrospinal fluid (CSF) tau protein concentrations from patients with progressive supranuclear palsy (PSP) and corticobasal syndrome (CBS). Collected by neurologists at the University of Cincinnati between 2013 and August 2025, the records follow NIH/NINDS Common Data Elements and Movement Disorder Society standards.
Patient medical records data, likely containing clinical or administrative information. The dataset is published on Kaggle, but its specific contents, size, and creation details are not described. Further verification is required to confirm the exact nature and scope of the data.
Rice Disease Dataset is a collection of images related to plant pathology, sourced from the Kaggle platform. The dataset likely contains visual examples of diseased and healthy rice plants for analysis. Metadata such as author, size, and specific collection details are not provided.
PathMNIST is a component of the MedMNIST v2 collection, a standardized benchmark for medical image analysis. The dataset likely contains colon pathology images, though specific details on size, source, and creation date are not provided in the input. Its inclusion in the MedMNIST suite suggests it is designed for machine learning classification tasks.
Dr. Sulaiman Al Habib Medical Services Group Company dataset is hosted on Kaggle. The description is minimal, providing only the company name. Specific details about the data's contents, size, origin, and creation date are unavailable.
Consolidated profiles of active nursing home residents based on Minimum Data Set (MDS) assessments. It includes information on race/ethnicity, age, marital status, discharge dispositions, cognitive patterns, mood, functional abilities, diagnoses, health conditions, and medications. The data is compiled by the Centers for Medicare and Medicaid Services from resident assessment records.
Delivering consolidated profiles of active nursing home residents based on Minimum Data Set (MDS) assessments. It includes information on race/ethnicity, age, marital status, discharge dispositions, cognitive patterns, mood, functional abilities, diagnoses, health conditions, and medications. The data is compiled by the Centers for Medicare and Medicaid Services from resident assessment records.
Encompassing information on abortion pills in Jeddah, covering legal status, availability, and health risks. It was authored by Sualh, Khan and last updated in February 2026.
Information on abortion pills in Jeddah, covering legal status, availability, and health risks. It was authored by Sualh, Khan and last updated in February 2026.
A dataset named 'Medical O1 Reasoning Sft Bonvoyage 19687 Recall 0.5 Qwen3 4B Medical O1 Ht' was published on huggingface by user 'graf'. The dataset was last updated on April 5, 2026. Its title suggests it is related to fine-tuning a language model for medical reasoning tasks.
Medical CT scans from drainage multiphase flow experiments on three heterogeneous carbonate rocks: Indiana limestone, Estaillades limestone, and Edwards dolomite. The dataset contains CT scans under dry conditions, with nitrogen, with water, and at varying nitrogen fractional flow rates, alongside a readme and an Excel file. Data originates from three quarries in the USA and France, collected for the ACT ELEGANCY project.
U.S. Department of Housing and Urban Development data covers multifamily properties with insured financing through the Federal Housing Administration. The portfolio includes rental housing with five or more units, nursing homes, hospitals, elderly housing, mobile home parks, and retirement service centers. Property locations are approximate and the dataset overlaps with the Multifamily Properties Assisted layer.
The Deteriorated Paint Index (DPI) dataset from the U.S. Department of Housing and Urban Development predicts areas at risk for residential lead exposure. It uses household-level data to identify census tracts with many pre-1980 homes likely to have large areas of deteriorated paint. The data was last updated on 2026-03-11.
The Deteriorated Paint Index (DPI) predicts areas at-risk of containing pre-1980 households with large areas of deteriorated paint, a significant predictor of lead dust. Data is provided at the state level by the U.S. Department of Housing and Urban Development and was last updated on March 11, 2026. It uses household-level data to predict a household's risk of deteriorated paint.
A predicted risk index for U.S. counties, identifying areas at-risk of containing pre-1980 households with large areas of deteriorated paint, a common predictor of lead dust. The dataset is produced by the Department of Housing and Urban Development and was last updated on March 11, 2026. It is designed to help target limited remediation and abatement funding for residential lead exposure.
Alcohol_Consumption_Parkinson is a Kaggle dataset investigating the relationship between alcohol consumption and Parkinson's disease risk. The description suggests it includes analysis for identifying RIT2 as a linked biomarker. The dataset's author, organization, size, and specific data structure are not provided.
MIMIC is a widely known database for clinical research. This dataset likely contains medical or clinical data intended for testing purposes. Published on Kaggle, its specific content and scope require verification after download.
PSMA-Patient-PETCT-v3 is a dataset hosted on Kaggle. The title suggests it contains medical imaging data, likely Positron Emission Tomography/Computed Tomography scans related to Prostate-Specific Membrane Antigen. The dataset's specific contents, scale, and origin require verification after download.
PSMA Patient V5 is a dataset hosted on Kaggle. Its title suggests it contains patient-related information, likely for medical or clinical analysis. The specific content, size, and origin require verification after download.
Health Condition and Stunting is a dataset hosted on Kaggle. The dataset likely contains information linking various health conditions to stunting outcomes. Metadata is minimal; the specific variables, data collection method, and source are unknown.