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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,877 datasets
Etenildo Dantas Cabral authored a study investigating the association between Parkinson's disease clinical characteristics and dental treatment pain intensity. The research involved a consecutive sample of 70 patients with Parkinson's disease, in which 217 invasive dental procedures were performed. Clinical data includes PD duration, stage, cognitive deficit, depression, motor impairment, and sensory symptoms, with pain measured on a Numerical Pain Scale.
Over 50 stratospheric balloons were launched across four campaigns from Antarctica and Sweden to study electron losses from Earth's radiation belts. The BARREL mission, a NASA Living with a Star project, provided the first balloon measurements of relativistic electron precipitation coordinated with in-situ satellite data. This dataset contains 4-second accumulations of uncalibrated rate counter diagnostics from NaI scintillators carried by those balloons.
Four balloon campaigns from 2013 to 2016 collected over 50 stratospheric balloon flights measuring relativistic electron precipitation from Earth's radiation belts. The data consists of 4-second accumulations of rate counter diagnostics from NaI scintillators, with uncalibrated energy ranges, collected by NASA's BARREL mission. The mission was designed to coordinate with the Van Allen Probes and other ground-based instruments.
Wendy Ying of Johns Hopkins University published supplemental data for a study on sex hormones and N-terminal pro-B-type natriuretic peptide (NT-proBNP). The analysis involved 2,371 postmenopausal women and 2,688 men from the Multi-Ethnic Study of Atherosclerosis (MESA). It includes cross-sectional and longitudinal associations between sex hormone patterns and NT-proBNP levels.
A retrospective study of 49 patients (mean age 66 years) with 75 lung consolidations, comparing size measurements from standard and low-dose digital chest tomosynthesis against computed tomography. Data includes 147 image series (49 CT and 98 DTS) from a previous investigation, with measurements performed by four senior radiologists. The dataset was published by Masoud Jadidi on figshare in May 2026.
Survey data from patients with alopecia areata used to analyze diagnostic delays exceeding one year. The dataset includes regression analysis results examining associations with race, income, and health insurance. The supplementary material was uploaded by figshare admin karger on 2026-05-21.
An NIH-funded longitudinal cohort study assesses stress and mood in medical interns at institutions around the United States. The study enrolls between 1500 and 3000 new interns each year. Data collection aims to understand psychological, genetic, and program factors involved in depression under stress.
Data from 23 or 31 healthy, unmedicated participants (aged approximately 23 years) includes skin conductance response (SCR), electrocardiogram (ECG), and respiration measurements recorded during a Pavlovian discriminant delay fear conditioning task. The task used visual conditioned stimuli (CS) and electrical unconditioned stimuli (US), with an extinction phase that included auditory startle probes. Columns likely contain trial-by-trial physiological signals, CS/US information, and keypress response times.
University of Zurich researcher Joshua Zimmermann collected pupil size, skin conductance, ECG, and respiration data from 30 healthy participants. The data originates from a discriminant delay fear conditioning experiment with visual stimuli and electrical shocks. The experiment included 10 CS- and 32 CS+ trials, with a stimulus onset asynchrony of 3.5 seconds and an inter-trial interval averaging 9 seconds.
Skin conductance response, electrocardiogram, and respiration measurements from 20 healthy participants. The data was collected during a classical discriminant delay fear conditioning task using visual conditioned stimuli and electrical unconditioned stimuli. The dataset was contributed by Saurabh Khemka from the University of Zurich.
22 healthy participants (7 males, 15 females, aged 26.4+/-5.2 years) underwent a Pavlovian discriminant delay fear conditioning task. The dataset includes pupil size, skin conductance, electrocardiogram, and respiration measurements, alongside conditioned and unconditioned stimulus information, keypress responses, and correctness. Data supports analysis of autonomic nervous system correlates of fear learning and memory.
Data from 18 healthy, unmedicated participants (8 males, 10 females, mean age 23.89 years) includes skin conductance response (SCR), electrocardiogram (ECG), and respiration measurements recorded during a classical Pavlovian discriminant trace fear conditioning task. The task used visual conditioned stimuli (CS) and electrical unconditioned stimuli (US) with specific stimulus onset asynchrony (SOA) and inter-trial intervals (ITI). This dataset supports research into the psychophysiological correlates of associative learning, fear memory, and predictive modeling of autonomic responses.
Experimental data associated with a study on electrically induced phase boundary motion in gradient-doped FeRh nanopillars. The dataset likely contains measurements of resistance changes and phase boundary positions under applied electrical currents. The data was produced by Rowan C. Temple at the University of Leeds.
826 patient records from a retrospective cohort study of ureteral stone surgery patients from January 2020 to January 2024. The dataset was used to develop an AutoML-based predictive model for postoperative urinary tract infection, created by Ding Li and shared under a CC-BY-4.0 license.
A dataset of tomographic X-ray data for a phantom made of 33 emoji faces, containing 15 distinct designs. It includes X-ray sinograms for a single 2D slice, corresponding static and dynamic measurement matrices modeling the X-ray transform, and the original measured sinogram. The data was made available by Zenith Purisha of the University of Helsinki and is intended for scientific use with appropriate citation.
University of Helsinki researchers provide an open-access dataset of tomographic X-ray data for a single 2D slice of a lotus root. The dataset includes sinograms at two different resolutions, the original measured 360-projection fan-beam sinogram, and corresponding measurement matrices. MATLAB code for reconstructions using filtered back-projection, Landweber iteration, and Tikhonov regularization is also included.
165,368 2D mammogram images from 157,810 patients, annotated for cancer detection by the Oregon-Massachusetts Mammography Database (OMAMA-DB). The dataset includes metadata files with lesion coordinates, confidence scores, and cancer classifications, with 7,351 cancer cases and 4,371 images having a validated DeepSight score. It was last updated on July 15, 2026.
67,512 3D mammography images from 15,149 patients, annotated with cancer classifications and lesion bounding boxes by the Oregon-Massachusetts Mammography Database. The dataset includes metadata on image view, laterality, pixel spacing, and confidence scores for regions of interest. Haehn, Daniel published this collection, which was last updated on July 15, 2026.
A prospective observational dataset of 1,000 patients with unresectable hepatocellular carcinoma (HCC) in Japan, collected between July 2020 and July 2022. The data includes demographics, tumor stage, liver function, treatment regimens, survival outcomes, and adverse events for first-line and subsequent therapies. It was created by the PRISM study group and published on figshare under a CC-BY-4.0 license.
Amjed Al Fahoum published a dataset on May 15, 2026, containing photoplethysmography (PPG) signals for cardiovascular disease classification. The dataset comprises 2,448 annotated PPG segments from 612 patients across six diagnostic classes: atrial fibrillation, heart failure, acute coronary syndrome, cerebral vascular accident, deep vein thrombosis, and normal sinus rhythm. It was used to train a hierarchical convolutional neural network achieving 93.48% overall accuracy.