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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,148 datasets
MERRA-2 M2T3NVRAD provides 3-dimensional, 3-hourly time-averaged assimilated radiation diagnostics across 72 atmospheric model layers. NASA's Global Modeling and Assimilation Office produced this dataset using the GEOS model, covering the period from 1980 to the present with approximately three weeks latency. Variables include air temperature tendencies due to longwave and shortwave radiation.
MERRA-2 provides 3-hourly assimilated radiation diagnostics across 42 atmospheric pressure levels, including cloud fraction for radiation and temperature tendencies. The dataset spans from 1980 to the present, produced by NASA's Global Modeling and Assimilation Office using the GEOS model. Data is updated with a latency of approximately three weeks after each month.
MERRA-2 provides a 3-dimensional, 3-hourly time-averaged assimilation of cloud diagnostics across 72 atmospheric model layers. NASA's Global Modeling and Assimilation Office produced this reanalysis using the GEOS model, covering the period from 1980 to the present with approximately three weeks of latency.
MERRA-2 tavg3_3d_cld_Np provides 3-hourly time-averaged assimilations of cloud diagnostics across 42 pressure levels. NASA's Global Modeling and Assimilation Office (GMAO) produced this reanalysis using the GEOS model version 5.12.4. The dataset covers the period from 1980 to the present with a latency of approximately three weeks.
MERRA-2 tavg3_2d_glc_Nx is a 3-hourly time-averaged data collection providing assimilated land ice surface diagnostics. The dataset is produced by NASA's Global Modeling and Assimilation Office using the GEOS model and covers the period from 1980 to the present. It includes variables such as fractional area of glaciated surface snow cover, snow mass, and snow depth.
MERRA-2 M2T1NXSLV provides hourly time-averaged, two-dimensional meteorological diagnostics at standard vertical levels. The dataset is produced by NASA's Global Modeling and Assimilation Office using the GEOS model and covers the period from 1980 to the present. Data includes parameters like air temperature at 2 meters, wind components at multiple levels, sea level pressure, and total precipitable water vapor.
Hourly time-averaged land surface diagnostics form a global atmospheric reanalysis covering 1980 to present. NASA's Global Modeling and Assimilation Office produced this collection using the Goddard Earth Observing System Model version 5.12.4. Data includes variables like baseflow flux, runoff, and soil temperature across six layers.
1980 to present hourly time-averaged data from NASA's MERRA-2 global atmospheric reanalysis. This collection provides vertically integrated diagnostics of water and energy fluxes and tendencies, produced by NASA's Global Modeling and Assimilation Office (GMAO). Data is timestamped at the center of each hour (e.g., 00:30 UTC) and has a latency of approximately three weeks.
1980 to present hourly time-averaged assimilated aerosol diagnostics from NASA's MERRA-2 global atmospheric reanalysis. The dataset includes fields such as dry and wet deposition of aerosol components, dust emission and sedimentation, and organic carbon convective scavenging. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
Vertically integrated diagnostic data from NASA's MERRA-2 global atmospheric reanalysis. The dataset provides hourly instantaneous fields, such as kinetic energy and total precipitable water, from 1980 to the present. It is produced by NASA's Global Modeling and Assimilation Office using the Goddard Earth Observing System Model version 5.12.4.
MERRA-2 provides an hourly, global atmospheric reanalysis from 1980 to the present. The M2I1NXASM collection contains instantaneous assimilations of meteorological parameters like 2-meter temperature, 10-meter wind components, surface pressure, and total precipitable water. NASA's Global Modeling and Assimilation Office produces this data using the Goddard Earth Observing System Model.
Global estimates of averted primary healthcare utilization and costs resulting from scaled-up HIV, tuberculosis, and malaria services. The dataset compares an actual intervention scenario against a hypothetical constant coverage scenario. Created by Jiaying Stephanie Su and published on figshare in 2026, it covers the period from 2000 to 2023.
Sleep Health and Lifestyle Dataset contains 30,000 records for multi-class sleep disorder analysis. The dataset is hosted on Kaggle, but the author, organization, and collection methodology are unknown. The last update date and specific column details are also not provided.
Palak Babel authored a geospatial plan titled 'Plan of the Jogowala pataali kuan dehri'. The 2.6 MB PDF file was last updated on April 8, 2026, and is shared under a CC-BY-NC-SA 4.0 license. The description indicates the map focuses on the Jogowala Kuan area, which sits amidst dunes, Kherji, and pastures.
Experimental data captures X-ray induced structural changes in single, free-flying nanoparticles using a two-frame diffraction technique. The method, demonstrated at the FLASH free-electron laser facility, investigates xenon clusters with pulse delays up to 650 picoseconds. Mario Sauppe from ETH Zurich authored the associated research paper.
HyDE is a model-based diagnosis engine for stochastic hybrid systems developed by the National Aeronautics and Space Administration (NASA). It uses transitional and behavioral models to diagnose the occurrence of unobserved events, which can include faults. The dataset was last updated on March 13, 2026.
A mixed-methods research study explores the impact of leadership behaviours on employee performance and project success within specialized project spaces at a healthcare company. The findings highlight the interconnectedness between leadership behaviours and positivity, advocating for a flexible leadership approach in project management. The dataset likely contains survey or observational data measuring these relationships.
Synthetic healthcare data is available on Kaggle. The description mentions free samples of 2,000 rows, as well as larger versions with 100,000 and 2.5 million rows. The dataset's author, organization, and specific creation date are unknown.
The dataset lists Medi-Cal healthcare providers suspended or deemed ineligible for program participation due to convictions, license loss, or Medicare sanctions. It is maintained by the California Department of Health Care Services and was last updated in March 2026. Row and column counts are not specified in the input.
Medical Insurance Cost Dataset for Machine Learning, Regression, Data Anal. The dataset is hosted on Kaggle. The author, organization, and specific details like row count and license are unknown.