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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,076 datasets
Samples from four distinct locations: Brandur (Iceland), Avellino (Italy), K?lauea Iki (Hawaii, USA), and Saint Kitts (St. Kitts and Nevis). The dataset comprises X-ray tomography image stacks with spatial resolutions from 3.5 to 56 µm, label files, and vector matrices for permeability simulations. It also includes electron microprobe analyses of plagioclase and amphibole minerals from Saint Kitts, and was last updated on 2026-04-09.
A research paper describes a cross-center retinal image database containing 2,635 images for diagnosing retinopathy of prematurity (ROP) plus disease. The study, by Xiqianru Zhang, compares nine deep learning models, with ResNet50 achieving the best performance metrics, including an AUC of up to 1.00 for Plus disease classification. The consolidated multi-center cohort yielded optimal model performance with an accuracy of 92.60%.
A 2026 study presents a cross-center retinal image database containing 2,635 images for training AI models to diagnose retinopathy of prematurity (ROP) plus disease. The research compares nine deep learning architectures, including ResNet50 and Swin-Transformer, and reports model performance metrics like AUC, accuracy, and F1-score. The dataset was compiled by Xiqianru Zhang from public and private sources to test a multi-center fusion strategy.
89.5 MB of sensitivity analysis results, figures, and tests for a Water Stress Index (WSI) and other water-related indices. The dataset, authored by Lu Yu, includes CSV, PNG, and GZ files and was last updated on May 1, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
110 studies, including 73 for meta-analysis, were systematically reviewed to characterize complement activation dynamics after burn injury. The dataset, compiled by Patrick P. G. Mulder and updated in March 2026, contains quantitative results from human and animal studies across predefined time intervals. It provides aggregated findings on complement factors like C3a, C5a, and membrane attack complex.
Patrick P. G. Mulder's 2026 systematic review and meta-analysis synthesizes quantitative data on complement activation following burn injury. The work includes 110 studies, with 73 eligible for meta-analysis, covering human and animal studies with varied burn characteristics. It provides a time-dependent analysis of complement factors like C3a, C5a, and membrane attack complex from the immediate post-burn period to beyond 21 days.
Huac Chest Xray Reports Images is a multimodal dataset containing chest X-ray images and associated medical reports from Hospital Universitário Alcides Carneiro (HUAC). It was developed as part of academic research at the Federal University of Campina Grande (UFCG). Data was collected from the HUAC database system between January 1, 2026, and May 7, 2026.
Additional file 10 provides supplementary data for a study on predicting tumor response in muscle-invasive bladder cancer patients. The dataset, published on figshare by Benyamin Khajetash, is a 12.2 KB XLSX file. Its last update was recorded as 2026-05-15.
Additional file 5 from a study on muscle-invasive bladder cancer. The dataset, published on figshare by Benyamin Khajetash, contains delta-radiomics features extracted from MRI scans of patients undergoing neoadjuvant chemotherapy. The file is 29.6 KB in size and was last updated in May 2026.
A 17.2 KB supplementary file published on figshare by Benyamin Khajetash on May 15, 2026. The dataset likely contains delta-radiomic features extracted from MRI scans of bladder cancer patients undergoing neoadjuvant chemotherapy. Its columns may suggest quantitative imaging biomarkers intended for modeling treatment response.
An Excel file containing radiomics features derived from MRI scans of muscle-invasive bladder cancer patients. The dataset, published on figshare by Benyamin Khajetash under a CC-BY-4.0 license, is 29.6 KB in size and was last updated in May 2026. Its specific row count and column details are not provided in the metadata.
A dataset published on figshare by Benyamin Khajetash on May 15, 2026. It is an additional file supporting research on muscle-invasive bladder cancer. The data likely contains delta-radiomics features extracted from MRI scans to predict patient response to neoadjuvant chemotherapy.
12.4 KB of radiomic feature data in an XLSX file, published on figshare by Benyamin Khajetash. The dataset likely contains delta-radiomics features extracted from MRI scans of muscle-invasive bladder cancer patients undergoing neoadjuvant chemotherapy. The file was last updated on 2026-05-15.
An Excel spreadsheet containing radiomics features derived from medical imaging. The dataset is published on figshare under a CC-BY-4.0 license by author Benyamin Khajetash and was last updated on 2026-05-15. Its 13.5 KB size suggests a limited scope of data.
12.5 KB Excel file published on figshare by Benyamin Khajetash on 2026-05-15. It contains supplementary data for a study on muscle-invasive bladder cancer patients undergoing neoadjuvant chemotherapy. The columns suggest radiomic features extracted from MRI scans before and after treatment.
Japan-based data from the Osaka health disparity solution program, supplementary to a cross-sectional study. The dataset was published by Tsukasa Yoshida on figshare under a CC-BY-4.0 license. It is a small file of 13.8 KB, last updated on 2026-05-15.
Alberta, Canada, emergency department visits for patients with semi-urgent and non-urgent triage levels, categorized by the Canadian Triage and Acuity Scale (CTAS). The data provides a time profile of visits by day of the week and time for the 2013/2014 fiscal year, aggregated at both Local Geographic Area and provincial levels. This table is part of the "Alberta Health Primary Health Care - Community Profiles" report published in March 2015 by the Government of Alberta.
Materials from a 2022 study by Soler-Vidal et al. investigating neural activation patterns during speech perception. The dataset compares healthy participants with individuals diagnosed with schizophrenia, both with and without auditory hallucinations. It was authored by chehablab and is hosted on Hugging Face.
Government of Alberta data provides age-standardized inpatient separation rates per 100,000 population for selected conditions across 132 Local Geographic Areas. The dataset covers the 2013/2014 fiscal year for conditions including Asthma, Diabetes, Influenza, and Ischemic Heart Diseases. It was published in March 2015 as part of the Alberta Health Primary Health Care - Community Profiles report.
132 Local Geographic Areas in Alberta provide age-standardized inpatient separation rates per 100,000 population for seven selected conditions from 2003 to 2010. This dataset, part of a 2013 Alberta Health Community Profiles report, standardizes rates across age groups to enable comparisons between different geographic areas and time periods.