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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,688 datasets
Since 2007, the NSW State Water Quality Assessment and Monitoring Program (SWAMP) has collected monthly water quality data from approximately 140 sites across 13 regions. The dataset contains point features depicting these monitoring locations, managed by the NSW Department of Climate Change, Energy, the Environment and Water. It supports state-wide river condition and trend reporting.
A meta-analysis and ensemble species distribution model (Biomod2) quantifies the thermal suitability and potential future distribution of the invasive cotton mealybug, Phenacoccus solenopsis. The dataset combines temperature-dependent physiological trait data with bioclimatic variables to model current and future habitat suitability under multiple climate scenarios (SSP1-2.6 to SSP5-8.5). It identifies key predictive variables, including mean temperature of the wettest quarter (bio08), and projects northward expansion of moderate-suitability areas under climate warming.
The State Water Quality Assessment and Monitoring Program (SWAMP) is a state-wide project by the NSW Department of Climate Change, Energy, the Environment and Water. It collects monthly water quality data for rivers in New South Wales, measuring parameters like electrical conductivity, temperature, turbidity, and nutrients. The program aims to provide long-term, statistically robust data for condition and trend reporting.
A long-term automated surface weather observing network measures key meteorological parameters including temperature, humidity, wind speed and direction, barometric pressure, solar radiation, and snow accumulation. The program is maintained by a team of scientists, researchers, and students, with data made publicly available. The project period for this specific grant is from 2024 to 2027.
140-year simulation experiments compare the Atlantic thermohaline circulation response to increasing CO2 and varying surface water and heat fluxes. The Hadley Centre Coupled Model Version 3 (HadCM3) was used for these experiments, which were intercompared with other models as part of the Coupled Model InterComparison Project. The data originates from model runs performed around 2005.
Monthly model outputs from four large ensemble systems (SPEAR_MED, SPEAR_LO, FLOR, FLOR_FA) simulate precipitation over South Africa and sea level pressure across the Southern Hemisphere. Data spans from 1921-01-01 to 2100-12-31, generated by NOAA NCEI for research on future drought risks like Cape Town's 'Day Zero'. The dataset includes control simulations lasting thousands of years and forced experiments under different CMIP6 and RCP scenarios.
NASA GISS research models the effects of climate change on global food production using crop growth and emissions scenarios. The dataset is an update to a 1997 study, produced by A. Iglesias and C. Rosenzweig with maps from Columbia University CIESIN. It reports results by country, incorporating weighted site results and explicit adaptation considerations.
North American Regional Climate Change Assessment Program (NARCCAP) data provides high-resolution climate change simulations for the conterminous United States and most of Canada. The program ran regional climate models at 50 km resolution, driven by global circulation models, for historical (1971-2000) and future (2041-2070) periods under the SRES A2 emissions scenario. It also includes preliminary model evaluation runs using reanalysis data from 1979-2004.
Cryogenic electron backscatter diffraction measurements capture the evolution of ice crystal orientation fabric across a transition from superplastic to Glen-type creep. The dataset contains microstructural properties from deformed polycrystalline ice samples fabricated at WHOI. Data collection is planned through 2026 by AMD_USAPDC.
1Hz GPS measurements of sea surface height were collected from a surface buoy deployed about 300 kilometers west of Monterey, California between September 2019 and January 2020. This dataset, part of the SWOT prelaunch field campaign, includes the inverted barometer component and was used with CTD, atmospheric, and bottom pressure data to close the sea surface equation. The campaign also deployed additional CTD moorings, a Slocum glider, and a Pressure Inverted Echo Sounder (PIES).
Richard Fortier's dataset contains XYZ coordinates of benchmarks on three degrading lithalsas named AML, BS, and BSO. The benchmarks were leveled annually from 2004 to 2025 to study thaw subsidence of ice-rich permafrost. The data is hosted on the Borealis Harvested Dataverse platform.
A master's thesis dataset contains physicochemical metadata and amino acid sequence files from groundwater samples collected in Covey Hill, Quebec, Canada, during summer and winter 2023. Data were collected from a single aquifer system and processed through a bioreactor to simulate natural conditions. The sequences were functionally annotated using BlastKOALA.
The Antarctic region's geologic record from the past 50 million years, which has influenced global climate, sea levels, and ocean circulation. This dataset from Geoscience Australia likely contains information derived from studies of sedimentary sequences drilled in and around Antarctica over the last two decades. The record was last updated on 2026-05-06.
Fisheries and Oceans Canada collected surface water temperature data from Great Bear Lake from 2021 to 2024 as part of a multi-decade study on fisheries and environmental change. The research, conducted with strong community involvement including the Guardian Program, monitors trends in water quality to assess impacts on lake trout and other harvested species. This data contributes to understanding climate change effects on large northern lake ecosystems.
Surface water temperature data was collected from Great Bear Lake between 2012 and 2019 using a Hydrolab Series 5 Data Sonde at depths of 0.1 to 1.0 meters. The dataset supports research on climate change impacts on lake trout and northern lake ecosystems, with strong community involvement through the Guardian Program. It extends baseline water quality data for the Sahtú Settlement Area.
Global raster data layers at a 1 km resolution, prepared as inputs for the InVEST Sediment Delivery Ratio (SDR) model. The dataset includes elevation, precipitation, soil texture, land use, and vegetation cover data sourced from SRTM, ERA5, HWSD, ESA CCI, and MODIS. It was authored by Mingxie Chen and last updated on 2026-04 09.
Australian Ocean Data Network provides Synthetic Aperture Radar (SAR) data from the Timor Sea, Northwest Australia. The dataset includes interpretations of low back scatter slicks linked to coral spawning events and bathymetric features. Ancillary data such as bathymetry, current velocities, and weather are used to differentiate slick origins.
RV Investigator voyage IN2025_E01 collected hydrology data during sea trials and calibrations between February 19 and March 01, 2025. The Marine National Facility processed and archived the data, which includes parameters like salinity, dissolved oxygen, and nutrients from Niskin bottle samples at various depths. This quality-controlled dataset is held by the CSIRO National Collections and Marine Infrastructure Information and Data Centre in Hobart.
MODIS/Terra satellite data provides daily global land surface temperature and three-band emissivity estimates on a 0.05-degree climate modeling grid. The MOD21 algorithm uses a physics-based Temperature/Emissivity Separation technique on thermal infrared bands to retrieve values simultaneously. This Collection 6.1 product is produced by the LPCLOUD organization from Level 2 intermediate data.
Hydrology data from the RV Investigator voyage IN2026_V01, which took place between January 02, 2026 and February 25, 2026. The dataset contains processed measurements of salinity, dissolved oxygen, phosphate, silicate, nitrate plus nitrite, and ammonium from water samples collected during CTD deployments. It is archived by the CSIRO National Collections and Marine Infrastructure Information and Data Centre.