Loading...
Loading...
Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,254 datasets
Twenty-five Science Datasets provide daily global land surface temperature, emissivity, and quality control metrics from the NOAA-20 VIIRS sensor. The data is a Level 3 Climate Modeling Grid product resampled to a 0.05-degree (5,600 m) resolution from native 750-meter observations. Its algorithm averages cloud-free observations to ensure continuity with the MODIS Terra and Aqua mission records.
VIIRS/NPP VNP21C3 provides monthly averaged land surface temperature and emissivity at a 0.05-degree resolution, specifically formatted for climate models. The product contains separate daytime and nighttime observations, including quality control and view angle data, within a single file. Its algorithm averages cloud-free daily acquisitions, but known issues include potential high-temperature outliers in desert regions due to undetected cloud and dust.
The VJ121C3 dataset provides monthly composites of land surface temperature and emissivity at a 0.05-degree (~5,600 meter) resolution. It contains 25 Science Datasets (SDS) layers, including daytime and nighttime LST, quality control, view zenith angle, time of observation, and emissivity for bands M14, M15, and M16 within a single HDF file. This Level 3 product is formatted as a Climate Modeling Grid for use in climate simulation models.
The OMI/Aura Level 1B VIS Zoom-in Geolocated Earthshine Radiances V004 dataset contains spectral radiance measurements from the daylit portion of satellite orbits, produced approximately once per month. It provides geolocated Earth view spectral radiances from the VIS detectors in the 349 to 504 nm wavelength range, with each orbit file covering a swath width of roughly 750 km. Data is stored in netCDF format, with each of the approximately 14 daily orbital files being about 240 MB in size.
Greater Metropolitan Region water sharing plan area contains a static risk assessment for building projects as of September 2025. The dataset includes input layers for acid sulphate soils, contaminated sites, groundwater works, water features, dependent ecosystems, and groundwater systems, combined into an overall risk layer. It was created by Spatial Services (DCS) to support the Housing Approvals Reform Action Plan.
Geoscience Australia and the Northern Territory Geological Survey (NTGS) released 1739 gravity point data values acquired in 2023 under project P202341. The data measures subsurface rock density variations along 2D seismic lines in the Northern Territory at a 400-metre spacing. Processed and quality-checked by GA geophysicists, the dataset is intended for revealing geological structures.
Version 13 of the approved corporate provincial digital Biogeoclimatic Ecosystem Classification (BEC) map, updated on May 22, 2026. This geospatial dataset from the Government of British Columbia provides the most detailed classification of zones, subzones, variants, and phases. The mapping is extended across non-terrain features like oceans and glaciers to facilitate intersection with terrestrial landcover layers.
Australia's inventory of 200 nature-based coastal protection projects compiled by the Living Shorelines Australia project. The database was established under NESP Marine and Coastal Hub Project 1.10 and has been updated by The University of Melbourne since 2022. It includes examples of 'soft' and 'hybrid' approaches using dunes, wetlands, and biogenic reefs.
Natural Resources Canada provides a series of historic flood susceptibility maps for Canada. The maps are generated by an XGBoost machine learning model trained on major floods from 2005 to 2023 and run for each year from 2000 to 2023. The model incorporates temporal characteristics of temperature, precipitation, land use, land cover, and NDVI to predict annual flood susceptibility.
Modelled daily flow rates in megalitres per day for river systems in the Macquarie Valley, NSW. The NSW Department of Climate Change, Energy, the Environment and Water produces these time series using the best available hydrologic models over a historic climate period typically starting in the early to mid-1890s. Individual files are named according to the structure 'Gauge number_watercourse@Gauge name'.
A review article examines the role of personal weather stations (PWSs) as a supplementary data source for hydrology and meteorology. The 96.8 KB XLSX file, authored by Paola Mazzoglio and last updated in May 2026, discusses applications, quality control methods, and integration with official networks. The work highlights the potential of these low-cost, citizen-installed devices for urban studies, flood modelling, and numerical weather prediction.
Time series of modelled daily flow rates in megalitres per day across river systems in the Lachlan Valley, New South Wales. Data is produced by the NSW Department of Climate Change, Energy, the Environment and Water using the best available hydrologic models at the time of publishing. The modelled historic climate period typically spans from the early to mid-1890s to the water year prior to the publication date.
Historic time series of modelled daily flow rates in megalitres per day across the Murrumbidgee Valley river system in New South Wales, Australia. The data is produced by the NSW Department of Climate Change, Energy, the Environment and Water using the best available hydrologic models at the time of publishing. Individual files correspond to specific river gauges and the modelled period typically spans from the early to mid-1890s up to the water year prior to publication.
New South Wales river systems provide modelled daily flow rates in megalitres per day for the Castlereagh Valley. Data is generated using the best available hydrologic models at the time of publishing and covers a historic climate period typically from the early 1890s to the water year prior to publication. The NSW Department of Climate Change, Energy, the Environment and Water updates specific scenario data sets annually, subject to quality requirements for use in relevant studies.
75 semi-structured interviews explore the role of local media in public climate literacy in the Norwegian Arctic. The sample includes 8 journalists and editors alongside 67 other residents, revealing gaps in media coverage linking local events to climate change. Author Roxana Roos published this qualitative analysis under a CC-BY-4.0 license in May 2026.
Geoscience Australia Data provides a dataset describing the submarine geomorphology of the continental slope and rise seaward of the Totten Glacier and Sabrina Coast, East Antarctica (112°E-122°E). The data, published in Marine Geology in 2020, details a suite of submarine canyons and ridges formed by mixed contourite-turbidite systems. It characterizes two distinct areas with differing canyon thalweg profiles, ridge asymmetry, and sediment sources from the glacier and ocean currents.
Geoscience Australia Data provides a dataset on the palaeogeography of the Bass Strait land-bridge, a vital zone of human and biological connectivity across southeastern Australia. The dataset likely contains high-resolution bathymetric data used to model landscape change and shoreline transgression during sea-level rise after the Last Ice Age. The analysis, published in 2025, provides a benchmark for understanding land-bridge flooding and its impact on human migrations.
Paterson Valley in New South Wales, Australia, is the geographic scope of this time series of modelled daily river flow rates. The data is produced by the NSW Department of Climate Change, Energy, the Environment and Water using the best available hydrologic models at the time of publishing. The modelled historic climate period typically spans from the early to mid-1890s up to the water year prior to the publication date.
Over 90% of the Arafura Basin occurs offshore in the shallow Arafura Sea. This dataset provides descriptive attribute information for spatial groundwater features, grouped into themes like Hydrogeology, Groundwater Management, and Land Use. The sedimentary record spans more than 250 million years, from the late Neoproterozoic to the early Permian.
High-precision measurements of N2 fluxes indicated denitrification occurs within major sedimentary facies in Port Phillip Bay. The dataset includes integrated fluxes of biogenic N2, ammonia, nitrate, and nitrite, showing a stoichiometric C:N ratio of 5.7 in muddy sediments covering about 70% of the seafloor. Denitrifying efficiencies of 75-85% were observed at organic carbon loadings of ~15-25 mmol m-2 day-1.