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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,660 datasets
Victoria's groundwater resources are classified by beneficial use according to the state's Environmental Protection Authority. This geospatial dataset likely contains polygons or regions defining uses based on groundwater quality and aquifer yield. The Department of Energy, Environment and Climate Action maintains the data, which was last updated on April 9, 2026.
2286 time series of eight palaeoclimate parameters provide a benchmark for climate models spanning the last 130,000 years. Lukas Jonkers from the University of Bremen compiled this synthesis, which includes benthic and planktonic foraminifera isotopes, sea surface temperatures, and sediment composition data. Version 2 offers increased spatial and temporal coverage with recalibrated radiocarbon ages and updated age-depth models.
A geospatial dataset defining the beneficial uses of groundwater resources in Victoria, Australia. The classification is based on groundwater quality and aquifer yield, as defined by the Victorian Environmental Protection Authority. The dataset is provided by the Department of Energy, Environment and Climate Action and was last updated in April 2026.
Buried Upper Devonian reef structures in the Lennard Shelf, Canning Basin, Western Australia, were identified via seismic-record sections. Frequency analysis of seismic reflections across the structure indicates thinning of sedimentary layers due to differential compaction. The Australian Ocean Data Network published this dataset, which was last updated on 2026-04-16.
Data from 2000 onward provides daily mean precipitation rates at a 0.1-degree (approx. 10 km) spatial resolution. This dataset is the 'Late Run' product from NASA's GPM IMERG algorithm, offering expedited estimates with a 14-hour latency for same- or next-day applications. It synthesizes observations from an international satellite constellation to estimate surface precipitation globally, including over regions with sparse ground observations.
The Index of Estuarine Condition Scores comprises five subindices: Physical Form, Hydrology, Water Quality, Flora, and Fish. Each estuary receives an overall score derived from individual scores for these sub-indices, which are based on metrics measuring threats or condition. The dataset is provided by the Department of Energy, Environment and Climate Action and was last updated on 2026-04-09.
Matthew Dodd's dataset on Recurring Marine Phosphorus Spikes during Major Palaeozoic Mass Extinctions and Climate Change is available on figshare. It is a 64.1 KB XLSX file last updated on May 20, 2026. The dataset likely contains geochemical time-series data related to phosphorus cycling in ancient oceans.
GPCP Version 2 provides global monthly precipitation rates, random errors, and a 1979-1999 climatology. This dataset merges measured gauge data with satellite rainfall estimates. A portion covering 1986 to 1995 is available at both 2.5-degree and 1-degree spatial resolutions.
Data from a project by Peter Breigenzer testing forest structure impacts on understory microclimate and fuel moisture. The datasets include forest structure from inventories and terrestrial laser scanning, understory temperature and humidity, and repeated fuel moisture measurements. Measurements were taken at 24 plots across two locations in the northeastern United States during the summer of 2023.
Lineaments interpreted from 250m gridded Bouguer gravity data, reduced using a bedrock density of 2.67 T/m3. The dataset was compiled by GHD for the 'Potential Influences of Geological Structures on Groundwater Flow Systems' report for the Secure Allocation Future Entitlements (SAFE) Project. It focuses on interpreting NNE-SSW, ENE-WSW, and WNW-ESE structural trends not closely addressed by prior work from the former Department of Primary Industries.
Geoscience Australia conducted the GA-0352 marine seismic survey in the Gippsland Basin from April 5th to 24th, 2015. The survey collected industry-standard precompetitive 2D seismic data, Multi-beam echo-sounder (MBES) bathymetry, and sub-bottom profiling data to assess the basin's CO2 storage potential. This dataset includes all the bathymetry data collected during the survey, which is available for free download.
A series of WSW to ENE oriented geological structures were interpreted from residual gravity bedrock depth data. The dataset was compiled by GHD for the 'Potential Influences of Geological Structures on Groundwater Flow Systems' report, part of the DEPI SAFE Project. It was last updated on 2026-04-09.
Five major geological faults—Danyo, Hindmarsh, Tyrell, Avoca, and Leaghur—are mapped in Victoria's Murray Basin. The dataset was digitized from geological reports by Macumber (1991) and Robson and Webb (2011). It was compiled by GHD for a report on geological influences on groundwater flow for the DEPI SAFE Project.
A daily global sea surface temperature analysis produced operationally by the Danish Meteorological Institute using an optimal interpolation method. The analysis combines nighttime skin and subskin temperature observations from five satellite sensors, including AVHRR, SEVIRI, AMSR2, VIIRS, and MODIS on Aqua, and masks ice areas using the EUMETSAT OSI-SAF ice field. This dataset follows the GHRSST Data Processing Specification version 2 and is provided on a 0.05-degree grid.
Hourly sensor measurements from beaches along Chicago's Lake Michigan lakefront capture water temperature, wave height, turbidity, and transducer depth. The Chicago Park District maintains these sensors, which operate primarily during summer seasons. Data collection began in an unspecified year, with the dataset last updated in April 2026.
Hourly weather measurements from automated sensors at Chicago Park District beaches along Lake Michigan. The Chicago Park District maintains the sensors, which capture data primarily during summer months. Data includes air temperature, wind speed, humidity, solar radiation, and precipitation metrics.
Version 11.2 is the current and sole available version of this dataset, superseding all older releases. The Orbiting Carbon Observatory-2 (OCO-2) is NASA's first mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup. The instrument uses three high-resolution spectrometers to make coincident measurements of reflected sunlight in specific near-infrared and oxygen A-Band wavelengths.
NASA's Orbiting Carbon Observatory-2 (OCO-2) mission provides the first space-based measurements of atmospheric carbon dioxide designed to characterize the processes controlling its buildup. This Level 2 dataset includes meteorological parameters interpolated from a global assimilation model for each satellite sounding. It incorporates spectrometer measurements of reflected sunlight at specific near-infrared wavelengths to detect CO2 and molecular oxygen.
OCO-2 Level 2 data provides meteorological parameters interpolated from a global assimilation model for each satellite sounding. The Orbiting Carbon Observatory-2 mission is NASA's first designed for space-based atmospheric carbon dioxide measurements with high precision and resolution. The dataset supports analysis of processes controlling CO2 buildup in the atmosphere.
NASA's Orbiting Carbon Observatory-2 (OCO-2) mission provides Level 2 data of meteorological parameters interpolated from a global assimilation model for each satellite sounding. The dataset supports the analysis of atmospheric carbon dioxide by offering coincident, high-resolution spectrometer measurements in specific near-infrared and oxygen A-Band wavelengths. This retrospective processing version (V11r) supersedes all older data versions.