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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,136 datasets
BleachWatch data contains community-reported observations on coral condition from the Florida Keys National Marine Sanctuary. Observers provide site details, environmental conditions, and specific bleaching metrics including severity, affected coral growth forms, and percent cover impacted. The dataset is curated by the National Oceanic and Atmospheric Administration.
209 participants from the CoVPN 3006 vaccine trial provided blood samples for profiling T cell receptor (TCR) repertoires and anti-SARS-CoV-2 antibody responses. The dataset includes measurements from pre-exposure, post-vaccination, and post-breakthrough infection timepoints, enabling analysis of hybrid immunity. A key methodological feature is the protocol for recovering TCR sequences from frozen blood clots, allowing paired cellular and humoral immune data from a single blood sample.
Sunil Kumar Sharma's dataset compares a proposed model with non-AI clinical methods. The data is stored in a 5.5 KB XLS file and was last updated on April 13, 2026. It is shared under a CC-BY-4.0 license on figshare.
13.5 KB of tabular data from figshare provides results from univariate and multivariate survival analyses. Author Norihiko Suzaki published this Excel file under a CC-BY-4.0 license, with a last update timestamp of 2026-04-13. The dataset's small size suggests it contains summary statistics or model outputs rather than raw patient records.
Norihiko Suzaki's dataset on figshare compares patient demographics, clinicopathological findings, and preoperative laboratory results between groups with high and low expression of the SETD8 protein. The data is stored in a 9.5 KB Excel file (XLS) and was last updated on April 13, 2026. It is shared under a CC-BY-4.0 license.
Norihiko Suzaki published this dataset on figshare in April 2026. It includes clinical data and results from real-time PCR, cell proliferation, cell cycle, invasion, and xenograft experiments. The dataset is stored in a single XLSX file sized 177.5 KB.
346 study participants were analyzed for the association between patient registration group and treatment abandonment. The dataset, created by Wolde Abreham Geda and last updated in April 2026, contains treatment outcome evaluations for 314 of those participants. It is available as a 5.5 KB XLS file under a CC-BY-4.0 license.
A 5.5 KB Excel file from figshare contains data for logistic regression model selection. Author Wolde Abreham Geda published this resource under a CC-BY-4.0 license. The dataset was last updated on April 13, 2026.
Wolde Abreham Geda's dataset contains results from logistic regression model selection for predicting unfavorable treatment outcomes among rifampicin/multidrug-resistant tuberculosis patients. The dataset is 5.5 KB in size, stored in an XLS file, and was last updated on April 13, 2026. It is licensed under CC-BY-4.0.
Deye Ge's dataset on figshare contains clinical characteristics of patients who experienced adverse events while taking the drug Edaravone, categorized by different administration routes. The dataset is 9.5 KB in size and was last updated on April 13, 2026. It is shared under a CC-BY-4.0 license.
Patient-level data recording the highest observed grades of adverse effects induced by chemotherapy. The dataset, created by Peesit Leelasawatsuk, is a 5.5 KB Excel file last updated on April 13, 2026. It is licensed for open use under CC-BY-4.0.
9.5 KB of data on medically-attended Lyme disease cases, published by Maria Major on figshare. The dataset is available in XLS format and was last updated on April 13, 2026.
A shuffle test dataset validating the genomic ordering used by a BiLSTM-Cox survival head. The dataset is 5.5 KB in size and was authored by Yan Wang. It was last updated on April 13, 2026, and is shared under a CC-BY-4.0 license on figshare.
A 5.5 KB Excel file containing baseline clinical and molecular characteristics for three cohorts from The Cancer Genome Atlas (TCGA). The dataset was authored by Yan Wang and last updated on April 13, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A 5.5 KB Excel file from figshare, authored by Pablo Antonio Ureña Torres and last updated in April 2026. The dataset presents annualized rates of adverse events per patient-year, categorized by dialysate type.
Sena Aksoy's dataset from 2026 contains clinical and histopathological data from 56 patients who underwent mechanical thrombectomy for acute ischemic stroke. It includes procedural data, recanalization scores, and 24-hour FLAIR imaging results to identify the Hyperintense Acute Reperfusion Marker (HARM). The dataset also comprises histopathological analysis of 52 retrieved thrombi, stained for fibrin, erythrocytes, and leukocytes, alongside 24-hour NIHSS and 90-day mRS clinical outcome scores.
A single case report details an 18-year-old female patient presenting with chronic intermittent abdominal pain. The dataset contains the supplementary material for a published medical case, including clinical presentation, imaging findings (ultrasonography and CT), biopsy results, surgical procedure (pancreatoduodenectomy), and final histopathological confirmation of a solid pseudopapillary neoplasm. It provides a complete clinical narrative for a specific, uncommon pancreatic tumor.
Azza Habel published a dataset profiling 81 immune-related proteins in serum samples from 57 breast cancer patients, 57 ovarian cancer patients, and 49 healthy controls. The data includes cytokines, chemokines, growth factors, and immune checkpoints, analyzed using multivariate and ROC curve methods. It was last updated on March 19, 2026.
Dawood Rehman's 9.5 KB spreadsheet compares classification performance for models trained on real and synthetic medical imaging datasets. The data, last updated in April 2026, contrasts results from CheXpert, MIMIC-CXR, ChestX-ray14, and a synthetic dataset using ResNet50 and Swin-T encoders. Bold formatting indicates where synthetic data led to improved model performance.
Minxian Li's 2026 study provides Protein Data Bank (PDB) files detailing the structure of the EIP103 peptide degrader targeting the EZH2 protein in triple-negative breast cancer (TNBC). The dataset, approximately 889.4 KB in size, includes molecular dynamics simulation results and biochemical assay data that reveal EIP103's binding mechanism to the EZH2 SET domain. This structural information supports research into novel immunogenic cell death pathways for enhancing immune checkpoint therapy.