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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,812 datasets
A collection of Chinese extractive Machine Reading Comprehension (MRC) datasets aggregated into a unified format. It provides context, question, and answer triplets designed for training models to identify specific text spans within Chinese documents.
X-ray diffraction patterns for La2.67Er0.03Yb0.3NbO7 thin films. The dataset was created by author Salas Colera, Eduardo and was last updated on May 5, 2024.
A rubric designed for the evaluation of portfolios of endodontic pre-clinical treatments performed by dental students. The dataset was authored by Nuria Escribano Mediavilla and last updated on May 5, 2024. Its specific structure and scale are not detailed in the provided metadata.
X-Ray Diffraction patterns for simulated La2.97Nd0.03NbO7 thin films. The dataset was created by Eduardo Salas Colera and last updated on May 5, 2024. The patterns were generated as references using the VESTA software.
A Chinese medical benchmark dataset published in August 2023 by FreedomIntelligence. It is designed for evaluating AI models on medical knowledge and clinical reasoning tasks. The dataset includes an exam test component, with answers disclosed in January 2024.
Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions is a dataset accompanying a submitted manuscript from the Texas Data Repository. It contains data from 217 individuals classified into currently depressed, psychiatric control, and no psychopathology groups. The data was used to build cross-validated models predicting diagnosis and symptom severity, explaining up to 65.7% of variance in symptom severity.
MIMICIT is a dataset for multimodal instruction tuning, likely containing paired medical images and text. The dataset was created by researchers from Nanyang Technological University and Microsoft Research, with the latest update recorded on March 28, 2024. To improve loading efficiency, the image data is being converted from JSON to Parquet format.
Averaged daily smartphone sensing features and self-reported mental health outcomes by participant, used for correlation analysis in a research paper. The data includes features like acceleration magnitude, GPS variance, and phone unlock duration, paired with mean and standard deviation of daily sadness scores on a 0-3 scale. The dataset was authored by Wu, Congyu and last updated on March 18, —2024.
A dataset titled 'Student Mental Health Counseling Vn' published on the Hugging Face platform by user 'chillies'. The dataset was last updated on May 5, 2024. Its specific content, scale, and structure require verification after download.
80 histology images of mouse skin stained with Masson Trichrome stain. The dataset, authored by Manuel Rausch, includes samples from subjects aged 12 and 52 weeks, taken from dorsal or ventral locations. Images were acquired with a 10x objective on an Olympus BX53 microscope, with a pixel conversion of 645 nm per pixel.
MIMIC-CXR Reports Summarization likely contains chest X-ray radiology reports from the MIMIC database. The dataset was uploaded by author 'tgrex6' to Hugging Face on April 19, 2024. Columns suggest the data is intended for natural language processing tasks related to summarizing medical text.
505 participants' baseline visit data from a prospective IRB-approved study at The University of Texas MD Anderson Cancer Center. The study enrolled adult female breast cancer patients at various stages of reconstruction between 2011 and 2014. Data was collected by Haoqi Wang and is hosted by the Texas Data Repository.
468 X-ray CT slices of an Acipenser fulvescens (Lake Sturgeon) head specimen collected in Michigan in September 1991. The data was scanned on 20 May 2003 by The University of Texas High-Resolution X-ray CT Facility (UTCT) for researchers at The University of Texas at Austin. Voxel sizes are 0.02636 mm in X and Y dimensions and 0.0986 mm in the Z dimension.
1071 X-ray CT slices of a whole Amia calva (Bowfin) specimen collected in Georgia in 1975. The University of Texas High-Resolution X-ray CT Facility scanned the specimen in 2003, producing volumetric data with a voxel size of 0.0351mm in X and Y and 0.1237mm in Z. Acknowledgement of UTCT is requested for use.
174 X-ray CT slices of a purple sea urchin (Strongylocentrotus purpuratus) captured at The University of Texas High-Resolution X-ray CT Facility. The specimen was collected in Monterey Bay, CA in April 2001, frozen in liquid nitrogen, and scanned on 18 April 2001 with a voxel size of 0.07422 mm in X/Y and 0.09 mm in Z. Data acknowledgment is required for UTCT, Brian Wilbur, and NSF grant IIS 9874781.
Lu et al. investigated the role of mitochondrial transporter SLC25A51 in Acute Myeloid Leukemia. The dataset, harvested by the Texas Data Repository and last updated on March 18, 2024, likely contains results from orthotopic xenograft models and metabolic flux analyses showing how SLC25A51 decouples the NAD+/NADH ratio to support cancer cell proliferation.
gowthamrvc published a dataset titled 'Healthcare Dataset' on the Hugging Face platform on 2024-04-28. The dataset's specific content, size, and structure are not detailed in the available metadata. Its columns, file formats, and row count are unknown.
Training information for personal care and home health aides from New York's central Home Care Registry, which is the state-approved repository for this workforce. The data is sourced from approved training programs and refreshed monthly. It includes details on training agencies, student counts, and geographic locations across New York State.
Manuel K. Rausch provides a collection of low-resolution histology images, each approximately 400 KB in size, focusing on the right ventricle. The dataset is hosted on multiple platforms, including Dataverse and PapersWithCode, indicating its use in cross-disciplinary research. Its primary application is in computational analysis of cardiac tissue structure and mechanics.
High-resolution histology images, each approximately 30-60 MB, provide detailed visual data of right ventricle tissue. The dataset is hosted on multiple platforms, including Dataverse and PapersWithCode, indicating its use in cross-disciplinary research. Its primary application appears to be in studying cardiac mechanics and developing computer vision models for medical image analysis.