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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
San Eusebio, Venezuela, hosts this dataset of net primary production (NPP) and climate measurements from a tropical montane forest. It contains biomass, litterfall, and nutrient content data collected from 13 plots in 1973-1974, alongside long-term climate data from a nearby station. The data provides a minimum estimate of total NPP (1,497 g/m2/year) and details on nutrient stores within the forest ecosystem.
The CAST dataset focuses on the Tropical Tropopause Layer over the Pacific Ocean and South East Asia. It contains in-situ airborne measurements from the FAAM BAe-146 aircraft deployed in Guam during January and February 2014, coordinated with NASA's Global Hawk. The collection also includes balloon-based ozone measurements and ground-based observations of ozone, CO2, CH4, CO, and very short-lived halogen species, complemented by regional and global atmospheric models.
TORCH1 provides ground-based atmospheric measurements from July and August 2003 at Writtle College, Essex. The dataset includes concentrations of ozone, carbon monoxide, nitrogen oxides, hydrocarbons, peroxides, radicals, and aerosol properties. It was collected to support the study of polluted boundary layer air and inform future air quality policy.
1984 to 2025 water quality data collected monthly by EPA Victoria from fixed sites in Port Phillip Bay. The dataset contains water sample measurements for nutrients and physical parameters. It is provided by EPA Water Sciences under a CC-BY-4.0 license and was last updated in June 2026.
A 35-year (2024-2059) initiative by the Australian Government, Resourcing Australia's Prosperity is a $3.4 billion investment in precompetitive geoscience. The program focuses on mapping potential for critical minerals, strategic materials, hydrogen and carbon storage, offshore renewable energy, and supporting groundwater systems. This data is intended to support economic growth and job creation in the global shift to a net-zero economy.
Heat production values for individual rock types along a 275 km transect in Prydz Bay ranged from 0.02 to 66 µW per cubic meter. The dataset, derived from geochemical analysis, describes the distribution of 'hot rocks' containing uranium, thorium, and potassium to improve ice sheet models. Research was conducted by Geoscience Australia and collaborators, with findings published in the Journal of the Geological Society, London.
The Roach and Bindoff Global Temperature, Salinity and Oxygen Atlas V1.0 uses the Data Interpolating Variational Analysis (DIVA) method to map full water column profiles onto a 1/2° x 1/2° grid at 108 depth levels. It covers the period from 1955 to 2018 in one-year intervals, derived from the World Ocean Atlas 2018. The atlas, hosted by the Australian Ocean Data Network, demonstrates improvements in representing ocean properties in regions of strong flow and near coastal boundaries.
EPA Victoria Marine Fixed Site Network water quality data collected from the Gippsland Lakes. The dataset contains monthly water sample measurements for nutrients and physical parameters, collected from known fixed surface water sites. Data is provided by EPA Water Sciences and was last updated in June 2026.
March 08 to March 17, 2025 data collected from the Marine National Facility RV Investigator voyage IN2025_V01. The dataset contains quality-controlled, continuously recorded underway measurements including navigation, thermosalinograph, and atmospheric data. It is processed and archived by CSIRO National Collections and Marine Infrastructure and made available via the Australian Ocean Data Network.
The Houtman Sub-basin geophysical modelling study is an integrated geological and geophysical interpretation of the GA-349 seismic survey. It incorporates about 26,000 km of gravity and magnetic data from surveys GA-310 and GA-2476, aiming to improve understanding of crustal architecture and magmatic rock distribution. The study was conducted by Geoscience Australia and aggregated by the Australian Ocean Data Network.
Damage assessment data for 24,732 buildings in East Catia La Mar, Venezuela, generated by Microsoft AI for Good Lab using AI models on satellite imagery. The dataset includes geospatial files (GeoPackage, GeoJSON) and JPEG images. It was last updated on June 27, 2026.
New 2D seismic data acquired in 2008-09 by Geoscience Australia was used for a seismic facies study of the post-rift succession in the Mentelle Basin. The study identified fourteen seismic facies based on reflection characteristics and provides analysis of depositional environments from the Valanginian to the Albian period. The dataset is hosted by the Australian Ocean Data Network.
A continental-scale model of the Moho depth beneath Australia, integrating multiple geophysical data sources. The dataset combines results from over 25,000 km of full-crustal reflection profiles, portable seismic station deployments analyzed by receiver function and autocorrelation methods, marine reflection results, and earlier refraction studies. It was published in Geophysical Journal International in January 2023 and is hosted by the Australian Ocean Data Network.
The Gippsland Marine Environmental Monitoring project provides field observational data on the effects of marine seismic surveys on cetaceans, fish, and invertebrates. The dataset likely contains time-series measurements of environmental and biological parameters, including sound monitoring data. It was published by the Australian Ocean Data Network in 2018.
Geoscience Australia generated a series of gravity and magnetic grids covering three regions of Northern Australia. The dataset includes derivative gravity data for the North-West Shield Western Australia, Northern Territory, and Queensland, and magnetic data for the North-West Shield region. Satellite Free-air gravity data from March 2019 and Topography data from January 2019 were processed using Geosoft Oasis montaj software to produce stitched Bouguer gravity and Total Magnetic Intensity grids.
ISCCP_B3_NAT provides original satellite radiance data sampled to a 30 km spatial and 3-hour temporal resolution. The dataset, established in 1982 by the World Climate Research Program, offers a globally uniform, calibrated set of measurements from up to five geostationary and two polar-orbiting satellites. It supports detailed studies of cloud processes, the Earth's radiation budget, and the hydrological cycle across phases from 1983 onward.
Statistics released on 27 September 2018 by the Forestry Commission provide UK-wide data on woodland area, planting, timber, trade, climate change, environment, recreation, employment, and finance. The dataset includes specific statistics on carbon in forests, the Woodland Carbon Code, and public attitudes to climate change. Where possible, figures are also provided for England, Wales, Scotland, and Northern Ireland.
2017 National Statistics on UK forestry were released on 28 September 2017 by the Forestry Commission. The data includes UK-wide and country-level figures on woodland area, planting, timber, trade, climate change, environment, recreation, employment, and finance. It specifically covers statistics on carbon in forests, the Woodland Carbon Code, and public attitudes to climate change.
2016 National Statistics on UK forestry, released by the Forestry Commission on 22 September 2016. The data includes statistics on woodland area, planting, timber, trade, climate change, environment, recreation, employment, finance, and international forestry. It specifically covers carbon in forests, the Woodland Carbon Code, and public attitudes to climate change.
National Statistics on UK forestry released by the Forestry Commission on 24 September 2015. Detailed figures cover woodland area, planting, timber, trade, climate change, environment, recreation, employment, finance, and international forestry, broken down where possible for England, Wales, Scotland, and Northern Ireland. This specific extract focuses on carbon in forests, the Woodland Carbon Code, and public attitudes to climate change.