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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
146 homes in Regina, Saskatchewan, participated in this study of metals in fine particulate matter (PM2.5). Health Canada and the Regina Qu’Appelle Health Region collected 5-day indoor and outdoor exposure samples during winter and summer 2007. The dataset provides summary results from ICP-MS analysis, presented separately for homes with and without smokers.
Global nighttime sea surface temperature estimates derived from Terra MODIS satellite thermal infrared observations. The Ocean Biology DAAC produces this near real-time product using the best-available ancillary meteorological and ozone data. Nighttime SST is used to detect ocean fronts, support fisheries habitat models, and provide inputs for air-sea flux and climate analyses.
Nighttime sea surface temperature estimates derived from thermal infrared observations acquired during local night by the Suomi-NPP satellite. The Ocean Biology DAAC produces this near real-time product using the best-available ancillary meteorological and ozone data. The data provides a snapshot during a short time period within a single orbit.
Near real-time global sea surface temperature data derived from Suomi-NPP VIIRS satellite thermal infrared observations during daytime. The Ocean Biology DAAC produces these products using the best-available ancillary meteorological and ozone data, though inputs and calibration are noted as less than optimal. Users apply the data to detect ocean fronts and eddies, monitor marine heatwaves, and drive ecosystem models.
The Suomi-NPP VIIRS Level-3 Global Binned 11µm Nighttime Sea Surface Temperature (NSST) dataset is produced by the Ocean Biology DAAC (OB_DAAC) at NASA. It provides near real-time (NRT) global estimates of sea surface temperature derived from thermal infrared observations taken during local night. The dataset includes variables for sea surface temperature in degrees Celsius and an associated quality flag.
Near real-time global sea surface temperature data provides a snapshot from a single satellite orbit. The Ocean Biology DAAC produces this product using the best-available ancillary meteorological and ozone data, though the calibration is less than optimal. SST is derived primarily from thermal infrared observations during daytime and is used to detect ocean fronts and monitor marine heatwaves.
Near real-time cloud mask data from NASA's Ocean Biology DAAC identifies cloud-covered pixels globally. The product provides two core geophysical variables: cloud_flag for strict cloud removal and cloud_flag_dilated for a conservative mask that reduces cloud-edge artifacts. It is produced operationally using the best-available ancillary meteorological and ozone data.
Global near real-time satellite data from NASA's Ocean Biology DAAC providing a unitless Ultraviolet Absorbing Aerosol Index (UVAI). The index is sensitive to light-absorbing aerosols like smoke and mineral dust, calculated using the Unified Aerosol Algorithm. It provides a snapshot of data from a short time period within a single orbit.
Near real-time (NRT) satellite data produced by the Ocean Biology DAAC, providing a snapshot within a single orbit. The dataset contains cloud mask bitmask variables to identify cloud-covered and cloud-adjacent pixels. It is used operationally as a screen for downstream ocean color products.
Near real-time (NRT) data products provide a snapshot of atmospheric conditions within a single satellite orbit. The dataset contains the Ultraviolet Absorbing Aerosol Index (UVAI) and related reflectance variables, produced by NASA's Ocean Biology DAAC using the Unified Aerosol Algorithm. These unitless indices are semi-quantitative indicators of light-absorbing aerosols like smoke and mineral dust.
Global nighttime sea surface temperature estimates derived from thermal infrared observations by the Aqua MODIS satellite. The Ocean Biology DAAC produces this near real-time (NRT) product, which provides a snapshot of data from a short time period within a single orbit. The data includes variables for sea surface temperature in degrees Celsius and an integer quality flag.
Near real-time (NRT) global sea surface temperature (SST) data derived from thermal infrared observations during daytime by the Aqua MODIS satellite. The Ocean Biology DAAC produces this data using the best-available ancillary meteorological and ozone data available at the time. It provides a snapshot of conditions within a single orbit, though inputs and calibration are noted as less than optimal.
Global ocean grids at 0.25-degree resolution provide monthly estimates of water vapor, cloud liquid water, and surface wind speed. The data are derived from Near Real-Time Level-1R satellite data provided by the Japan Aerospace Exploration Agency (JAXA). Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature product are also included.
A global satellite-derived data set provides the maximum percentage of snow-covered and persistent cloud-covered land observed over eight-day periods. The data is aggregated to a 0.05-degree climate modeling grid, which corresponds to a spatial resolution of approximately 5 kilometers. It is produced by the National Aeronautics and Space Administration (NASA) and was last updated in March 2026.
MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG V061 provides daily global snow and cloud cover percentages within 0.05-degree (approximately 5 km) grid cells. The data is derived from the MODIS/Terra Snow Cover Daily L3 Global 500m Grid product (MOD10A1.061). This Level-3 dataset is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
A list of companies identified to support research on commercializing climate action with blockchain technology. The dataset is 117.2 KB in size, created by author Rui Shan and last updated in April 2026. It was compiled to facilitate analysis for the associated academic paper.
Landsat Thematic mapper data from May 1994 was processed to classify land use and land cover across the Nashville/Middle Tennessee area into 13 categories. The Tennessee Valley Authority coordinated this work as part of the 1995 Southern Oxidants Study. The classified image was gridded to a 1 square kilometer scale using ARC/Info GIS.
Western Australia's 1:500,000 State interpreted bedrock geology layer is a digital compilation by the Department of Energy, Mines, Industry Regulation and Safety. It integrates published geological maps with geophysical and remote sensing data, using the GSWA Explanatory Notes System for lithostratigraphic units. The data is stored in GDA94 decimal degrees and was last updated in March 2026.
NOAA's Air Resources Laboratory has archived meteorological datasets from the National Centers for Environmental Prediction since 1989 for use in air quality research. These datasets are formatted for compatibility with the HYSPLIT atmospheric transport and dispersion model, which is one of the most extensively used models in the atmospheric sciences community. The data supports simulations for tracking pollutants, hazardous materials, volcanic ash, and wildfire smoke.
NOAA-20 VIIRS satellite data provides daily global measurements of Photosynthetically Active Radiation (PAR), which is solar radiation in the 400-700 nanometer visible spectrum. The Level 3 Climate Modeling Grid product is produced by LPCLOUD at a 0.05-degree pixel resolution using the VJ118 algorithm, which employs look-up tables for aerosols and clouds. The dataset includes both 3-hourly and daily mean PAR variables.