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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,152 datasets
December 2024 to February 2025 data from neonatal intensive care units in public hospitals in Tigray, Ethiopia, records clinical characteristics and survival times of preterm neonates. The dataset, authored by Teklebrhan Welderufael Kidane, is structured for log-rank analysis to compare survival curves. The row count and specific column features are not detailed in the input.
Photos of small-scale and full-scale models document the pattern development and assembly steps for transparent screens. The dataset, created by James Lee for Borealis Harvested Dataverse, provides visual records intended for integration into Infectious Disease Treatment Centres (IDTC). It was last updated on May 9, 2026.
7,749,800 bytes of data detail emergency and non-emergency medical accessibility in the Ningbo urban area. The dataset, authored by Xch GAO and last updated in March 2026, includes multiple file formats like SHP, DBF, and XLSX for spatial and attribute analysis. It is shared under a CC-BY-4.0 license.
2025 annual calculations for federal school accountability under the Every Student Succeeds Act. The framework includes metrics like Growth_ELA_Decile, Proficiency_Math_Rate, and NinthGradeOnTrack_Rate for schools across Washington state. Data was published by the Washington Office of Superintendent of Public Instruction in March 2026.
Measles and whooping cough resurgence data compared against vaccination decline across U.S. states. The dataset likely contains state-level time series for disease incidence and vaccination rates. The author and original source are unknown.
Clinical data from hepatitis B patients for predicting liver damage severity. The dataset's specific size, origin, and collection details are not provided in the available metadata. It was sourced from the Kaggle platform.
PAD-UFES-20 is a dataset of 2,298 skin lesion images from 1,373 patients, published in July 2020 by researchers from the Federal University of Espirito Santo, Brazil. It contains six types of lesions, including three skin cancers, with approximately 58% of samples being biopsy-proven. Each image is associated with up to 26 clinical metadata features such as patient demographics, lesion characteristics, and family history.
2,298 images of six types of skin lesions, including three cancers, collected from 1,373 patients. The dataset includes 26 metadata features per lesion, such as patient demographics, habits, and lesion characteristics. It was published in July 2020 by researchers from the Federal University of Espirito Santo, Brazil.
9,283 images of bell pepper leaves are provided for a classification task. The dataset is organized into six distinct disease classes. It was sourced from Kaggle, but the author, organization, and collection details are unspecified.
A list of medical marijuana dispensary facilities in Pennsylvania includes names, addresses, contact information, and geographic coordinates. The data is published by the Pennsylvania state government via data.pa.gov and was last updated in April 2026. It provides current operational details for dispensaries across the state.
Standardized health indicators for monitoring humanitarian conditions and calculating the number of People in Need (PiN) are provided by the Health Cluster. Updated in March 2026, the dataset establishes a global framework for assessing the severity of health crises across crisis zones.
A propensity score-matched analysis evaluates the necessity of postoperative bracing on clinical outcomes and multifidus muscle function. The dataset was authored by Jianbin Guan and last updated on May 2, 2026. It compares three distinct lumbar endoscopic discectomy techniques.
LRAT Training Dataset contains trajectory-derived retrieval supervision for training retrievers in agentic search. The dataset is built from deep research agent trajectories that record intermediate search queries, browsing actions, and post-browse reasoning traces. It was created by Yuqi-Zhou and last updated on 2026-04 08.
A machine learning model for classifying cardiac arrhythmias from raw 1D ECG signals. It incorporates spatial and temporal feature extraction and is designed to reduce training costs and hardware needs by avoiding computationally expensive signal-to-image conversions. This makes it suitable for edge computing, wearable health, and real-time applications.
LongCoT is a benchmark dataset designed to measure a model's ability to sustain coherent reasoning across long chains of thought. The data covers multiple domains including logic, computer science, chemistry, chess, and mathematics. It is released by LongHorizonReasoning on Hugging Face, with the canonical codebase hosted on GitHub.
Supplementary material from a study establishing a biobank of patient-derived colorectal cancer organoids. The data, published under CC-BY-4.0 by Moritz Jesinghaus, was last updated in April 2026. It mirrors patient tumor characteristics and treatment responses.
Supplementary Material 2 from a study establishing a translational colorectal cancer organoid biobank. The biobank mirrors patient tumor histology, molecular profiles, and treatment responses. Moritz Jesinghaus authored this file, last updated on April 8, 2026.
Supplementary Material 1 contains computational fluid dynamics (CFD) modeling data related to cerebrospinal fluid flow in patients with Chiari I malformation. The 2.3 MB dataset, authored by Guillermo L. Nozaleda and shared under CC-BY-4.0, was last updated on April 8, 2026. It supports the research on denticulate ligament effects on flow compartmentalization.
Supplementary Material 2 from a study by Ken Kurisu, published on figshare in April 2026. The dataset contains temporal trends in myocardial ischemia risk estimated from 12-lead electrocardiograms using deep learning models. It focuses on individuals undergoing health checkups where cancer was suspected.
Supplementary data comparing postoperative outcomes between patients with and without Persistent Descending Mesocolon (PDM) undergoing colorectal surgery. The dataset was authored by Chenyu Xiang and last updated in April 2026. Its small size of 10.7 KB indicates a limited scope, likely containing summary statistics or key metrics from the associated study.