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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,688 datasets
Geoscience Australia Data produced a global model predicting areas of continental shelf sediment mobilization. The model uses estimates of significant wave height and period derived from European Centre for Medium-Range Weather Forecasts (ECMWF) global climate models. This dataset was last updated on 2026-04-30.
42 variables including land-surface fluxes, stores, states, and routing variables are provided in this high-resolution, gridded daily time series. The National Climate Assessment - Land Data Assimilation System (NCA-LDAS) is a terrestrial water reanalysis produced by NASA using the Land Information System framework. It covers the continental United States for the satellite era from January 1979 to December 2016.
Low-latency (< 5 days from observation) top-of-atmosphere and surface radiative fluxes from NASA's CERES project aboard the Aqua satellite. FLASHFlux data are a rapid-release product line designed for applied sciences and education, providing quick-look estimates with relaxed calibration requirements compared to the full climate-quality CERES data. The product combines CERES scanner data with higher-resolution MODIS imagery and meteorological assimilation from the GEOS-5 system.
Recently discovered drift deposits on the Antarctic continental shelf provide access to previously inaccessible Holocene palaeoceanographic information. The dataset likely contains evidence from 35 kHz sub-bottom profiling and sediment cores, focusing on the George Vth Basin, an important source of Antarctic Bottom Water. It originates from Geoscience Australia Data and was last updated in April 2026.
Mount Lofty Ranges Priority Areas is a geospatial dataset from the Environment Protection Authority (EPA) defining three zones within the Mount Lofty Ranges Watershed. It classifies areas based on water quality risk to the Adelaide mains water supply system. The dataset was last updated on 2026-04 28.
New York State's Department of Environmental Conservation provides official water quality classifications for lakes, rivers, streams, and ponds across the state. The dataset assigns legal classifications based on existing or expected best usage, determining protection levels under state law. It is published by data.ny.gov and was last updated in early April 2026.
A geospatial dataset from the British Geological Survey (BGS) provides a generalized assessment of potential ground movement due to soil shrink-swell behavior across Great Britain. The data is aggregated to a 5km hexagonal grid, with each cell rated Low (1), Moderate (2), or Significant (3) based on the highest susceptibility found within it. The dataset, version 8, was last updated on 2026-04 09.
The Shrink Swell dataset from the British Geological Survey (BGS) provides a generalized, hexagonal grid view of ground movement susceptibility across Great Britain. It classifies areas into Low (1), Moderate (2), or Significant (3) risk ratings based on geological deposits and clay mineral behavior. The dataset, version 7, was last updated on 2026-04 09.
A 3D tomographic model of vertically polarised shear wave velocity (Vsv) in the Pacific upper mantle, derived from Rayleigh wave phase delays. The dataset includes full 3D resolution and uncertainty estimates on a global grid with 2-degree lateral and 25 km vertical resolution, extending from the surface to approximately 400 km depth. It is linked to a paper by Latallerie et al. (in preparation) and associated code hosted on GitLab.
Ardmucknish Bay, Oban, Scotland, is the location for this 2D high-resolution seismic reflection data collected to monitor a controlled sub-seabed CO2 release experiment. The dataset includes surveys from pre-release, syn-release, and post-release stages in 2012 and 2014, aiming to understand gas migration and changes in sediment acoustic properties. It was collected by the National Oceanography Centre Southampton and the British Geological Survey under the NERC-funded QICS program.
373.9 MB of geospatial data derived from a combined probabilistic–deterministic seismic hazard analysis for India. The dataset, authored by Ravi Kanth Sriwastav and last updated in April 2026, supports the development of a revised earthquake zoning map. It is available in TIF and SHP file formats under a CC-BY-4.0 license.
Marine ecosystem measurements were collected aboard the icebreaker C.C.G.S. Amundsen in Hudson Bay during 2005 and 2010. The data supports the ArcticNet program, a Canadian Network of Centres of Excellence focused on studying climate change impacts in the North. The dataset's presence on multiple government platforms indicates its established role in polar research.
Model outputs from a 2026 study using the adjoint of the U.S. EPA's Community Multiscale Air Quality (CMAQ) model extended for hemispheric scale. The data estimates location-specific health impacts and monetized burdens from primary PM2.5 and precursor emissions across the northern hemisphere, revealing large spatial and seasonal variability. The dataset is associated with a publication in GeoHealth and is provided by the U.S. Environmental Protection Agency.
Northern hemisphere forests above 50 degrees latitude have their aboveground dry woody biomass density mapped at a 30-meter resolution. This circa 2020 dataset was produced by ORNL_CLOUD for NASA, combining ICESat-2 lidar samples from 2019-2021 with Harmonized Landsat Sentinel-2 imagery and Copernicus DEM data using a two-step statistical modeling approach. It is designed for boreal-wide carbon assessment and fills a spatial data gap from the GEDI mission.
SHARP (Space-weather HMI Active Region Patch) data series contain space-weather quantities and 31 data segments derived from photospheric vector magnetograms. The data segments include vector magnetic field components, line-of-sight magnetic field, continuum intensity, Doppler velocity, error maps, and bitmaps for automatically identified active region patches. The series is produced by the National Aeronautics and Space Administration and is updated every 12 minutes.
2,959 marine species are assessed for climate risk across the Canadian exclusive economic zone using the CRIB framework. The data provides spatially explicit risk estimates under contrasting future emission scenarios, developed by Fisheries and Oceans Canada. It was published in January 2024 to support climate-informed marine conservation and fisheries management.
Canadian Arctic data from Inuit subsistence harvests analyzes four seal species: ringed, bearded, harp, and harbour seals. The dataset includes biological measurements such as standard length, girth, fat depth, and reproductive status. It supports research on species range shifts and adaptive strategies under climate change.
Daily area-averaged ocean bottom temperature data derived from two numerical models for the St. Anns Bank Marine Protected Area. The dataset combines a 1/36° resolution model covering 2016-2023 with a 1/12° reanalysis product spanning 1993-2023, validated against in-situ observations. It was published by Fisheries and Oceans Canada in August 2024 to analyze temperature changes over 8 and 30-year periods.
Replication data for the article 'Global hunger risk in alternative climate change and sociopolitical scenarios' is hosted by Harvard Dataverse. The files enable replication of results documented in the article and supplementary appendix. The dataset was authored by Halvard Buhaug and last updated on 2026-06-18.
Recent exploration success in the Greater Phoenix area has revived interest in Triassic petroleum systems on Australia's North West Shelf. This multi-disciplinary study integrates seismic mapping, sequence stratigraphy, and geochemical analyses to map source rock distributions across the Bedout, Beagle, and Rowley sub-basins. The extended abstract was presented at the Australasian Exploration Geoscience Conference in 2019 by the Australian Ocean Data Network.