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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,052 datasets
Australian Institute of Marine Science data contains thermal stress data for 41 tropical benthic marine species used to develop a Species Sensitivity Distribution. The data supports a study predicting how water quality guideline values for copper and diuron should change at elevated temperatures, offering a method for multi-stressor risk assessments. The data is associated with a 2019 publication in Environmental Science and Technology.
Water quality trigger values for the Great Barrier Reef were derived from long-term averages and ecological relationships. Models show up to 60% reductions in macroalgal cover are possible if proposed guidelines are met. This dataset, from the Australian Institute of Marine Science, supports the protection of ecosystem health.
Hourly data from 1982 to 2016 for photovoltaic and onshore/offshore wind power generation potential across European MAF regions. The dataset, derived from ENTSO-E's Mid-term Adequacy Forecast, is provided in both consolidated and year-split CSV/Feather formats for easier access. It supports analysis of weather-dependent renewable energy resources over a 35-year historical period.
Routine monitoring by the Department of Biodiversity, Conservation and Attractions provides essential data for assessing the Swan Canning Estuary's response to management actions and reporting against water quality targets. Data from this program have been used in numerous government and academic investigations, including modelling, to understand estuary condition and future impacts. The dataset is stored in the Water Information Network and made public via the Water Information Reporting portal.
425 homogenized monthly and daily precipitation series for stations across Canada, developed for climate trend analysis. The dataset was created by Environment and Climate Change Canada and includes key improvements over Version 1, such as expanded source data and enhanced quality control. It was last updated on July 14, 2026.
CanGridP mlyV2 provides high-resolution gridded monthly precipitation amounts for Canada, based on homogenized station observations. The dataset is produced by Environment and Climate Change Canada using ordinary kriging on data from 425 stations. It was last updated in July 2026.
United Kingdom water quality data from the Harmonised Monitoring Scheme (HMS) covers 230 sampling sites, primarily at tidal limits and major river confluences, from 1975 onward. The dataset provides annual summary statistics, including means, maximums, minimums, and percentiles for determinands like oxygen, ammonia, nutrients, metals, and pesticides. It serves as an archive for assessing long-term trends and fulfilling international environmental reporting obligations.
1990 to 2018 raw data from river and lake monitoring sites in Northern Ireland, collected for Water Framework Directive (WFD) compliance. The dataset includes physico-chemical parameters like dissolved oxygen, temperature, and nutrients, but requires processing for status assessment due to missing detection limits and potential errors. It is the first in a series of water quality datasets released as open data by the Northern Ireland government.
Raw data from Northern Ireland's river monitoring sites, collected under the Water Framework Directive from 1990 to 2018, includes measurements for nitrite and other physico-chemical properties. This dataset is the first in a series of open water data releases from the Department of Agriculture, Environment and Rural Affairs (DAERA). Surface water status assessments rely on this data for biological, hydromorphological, and physico-chemical criteria, but the raw values require processing and contain potential errors.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system collected this data following a magnitude 5.8 earthquake in the Philippines on July 06, 2026. The dataset likely contains geospatial and socio-economic information on the event, which impacted an estimated 26,037 people within 50km of the epicenter. It was last updated on 2026-07-06.
Extreme sea level values for 16 different annual probabilities of exceedance, including confidence bounds, for the Northern Ireland coastline under 2018 conditions. The dataset was produced by a UK partnership including the Environment Agency, SEPA, NRW, and DfINI, and is provided as a GIS layer reprojected to Irish Grid. It does not account for future climate change effects like sea level rise.
A probabilistic geospatial dataset models the risk of surface water flooding across the UK, incorporating climate change projections for the 2050s. It includes separate layers for flood extents and depths exceeding thresholds of 0m, 0.2m, 0.3m, 0.6m, 0.9m, and 1.2m. The data is produced by the Environment Agency using national and local modelling, with risk categorized into high, medium, and low annual likelihood bands.
Rajat Joshi and R. Zhang from Princeton University published supporting data in 2023 for their study on North Atlantic biases. The data includes NetCDF files comparing a control climate simulation with a bias-corrected experiment using Robust Diagnostic Calculations. It contains differences in sea surface temperature, ocean currents, atmospheric variables, and statistical significance tests for winter conditions over the extratropical North Pacific.
Australian gully remediation sites in the Great Barrier Reef rangelands contain water quality data collected over three wet seasons from 2016 to 2019. The dataset includes telemetered measurements of rainfall, stage height, turbidity, water temperature, and laboratory analyses of nutrients and total suspended solids. Data were collected by CSIRO as part of the NESP TWQ 2.1.4 project.
Projected climatic suitability for seven invasive tropical plant species across North Queensland, modelled for current conditions and the year 2070. The dataset was produced by CSIRO using the CLIMEX bioclimatic model and the CliMond historical climate dataset centred on 1975. Future projections apply the A1B emission scenario to the CSIRO Mk 3.0 global climate model.
Met Office data provides three-hourly and daily site-specific forecasts for approximately 5000 UK locations, with forecasts extending 5 days and updated hourly. It also includes hourly observational data from approximately 150 UK monitoring stations, recorded in real-time. The dataset was released under the Open Government Licence following the UK government's Autumn Statement 2011.
Daily surface fine particulate matter concentrations inferred from satellite data over South Korea, eastern China, and Japan. The dataset provides continuous 6km x 6km resolution maps from 2011 to 2019, generated by a random forest algorithm trained on national monitoring data. Drew C. Pendergrass from Harvard University created this resource, which shows high correlation with ground observations (R² = 0.89 for daily values).
Canadian Homogenized Wind Speed (CanHomW V2) datasets contain homogenized monthly and daily mean wind speed series from 154 long-term stations across Canada for the period 1953-2023. The data was produced by Environment and Climate Change Canada using a modified quantile matching adjustment method without a reference series, as detailed in Wang et al. (2025). The datasets include both raw and homogenized data series for transparency and are intended for trend assessment.
A magnitude 6.2 earthquake impacted over 101,500 people near Danau, Indonesia on July 3, 2026. The dataset is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid humanitarian response. It was last updated on the day of the event.
A magnitude 5.5 earthquake occurred on July 14, 2026, 25km east of Ono-I-Lau, Fiji, at a depth of 574.304 km. The event impacted 16 people within a 50km radius, with its epicenter located at latitude -20.748 and longitude -178.5092. WFP’s Automated Disaster Analysis and Mapping (ADAM) system collected and mapped this geospatial and socio-economic information following the sudden onset emergency.