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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,173 datasets
A 2-meter resolution Digital Elevation Model (DEM) composite was created from satellite imagery acquired on February 10-11, 2021, covering areas affected by the February 7, 2021 Chamoli disaster. The dataset combines five cross-track stereo DEMs from Maxar/DigitalGlobe WorldView-2, WorldView-3, and GeoEye-1 images and one in-track stereo DEM from Pléiades-HR1B images. It provides a continuous post-event terrain model for analyzing geomorphic changes, with heights referenced to the WGS84 ellipsoid in UTM 44N projection.
2012-2017 microclimate data recorded above and below the forest canopy at the SAFE project flux tower in Southeast Asia. The dataset contains over 95,000 rows of 30-minute interval measurements from automatic dataloggers, collected by researcher Terhi Riutta from the University of Oxford. It includes variables like air temperature, humidity, radiation, rainfall, and barometric pressure.
154 survey records of naturally occurring twig-nesting ant colonies and 905 observations from experimental twig colonization trials. The data was collected by Imperial College London researcher Isolde Lane Shaw as part of the SAFE Project research on microclimate change and forest disturbance. It includes plot locality information across 28 sampling sites.
Data from the project 'Assessment and communication of risks to Tasmanian aquaculture and fisheries from marine heatwaves'. Observational data is from NOAA OISST v2.1 (1982-2020), and model data is from 25 CMIP6 models over historical and future scenarios out to 2100. The dataset includes area-averaged time-series and bias corrections for the Tasmanian region.
A WERA phased array radar system with two 16-element receive arrays measures surface currents off the coast of New South Wales, Australia. The system operates at 13.920 MHz with a 100 KHz bandwidth and a maximum range of 100 km, collecting data from which wind directions and significant wave height can also be calculated. The dataset is provided by the Australian Ocean Data Network and was last updated in July 2026.
Eight climate mode datasets derived from 23 CMIP6 models' pre-industrial control simulations, each with over 500 years of data. The datasets, covering modes like El Niño and the Atlantic Multidecadal Oscillation, were validated against observational data. They were published by the Australian Ocean Data Network and last updated in July 2026.
England's modelled air quality emissions data for 2007, produced by the Office for National Statistics. The dataset provides estimates for small areas, modelled to 1 km grid squares, as part of the Living Environment Outdoors Subdomain. It is published by Neighbourhood Statistics and covers Lower Layer Super Output Areas (LSOAs).
Modelled data from the Office for National Statistics provides a Combined Air Quality Indicator for England. The dataset covers the years 2001 and 2003, with estimates modelled to 1 km grid squares and aggregated for Lower Layer Super Output Areas (LSOAs). It is part of the Living Environment Outdoors Subdomain.
Ottawa and Saskatchewan ice arenas were monitored for nitrogen dioxide (NO2) and carbon monoxide (CO) levels from 2017 to 2020. Health Canada collected continuous measurements over 7-15 day periods at indoor and outdoor locations to study pollutant variation and reduction strategies. The data represents three study phases assessing different ice resurfacer fuel types and ventilation practices.
52 sample sites across 16 Greenlandic fjords provide measurements of dissolved inorganic carbon, total alkalinity, and δ18O-H2O from August 2016 and 2018 cruises. The dataset was collected by Henry C. Henson of Aarhus University and funded by the Danish Centre for Marine Science and EU Horizon 2020 projects. It represents the first large-scale analysis of carbonate system parameters in Greenland coastal waters.
Annual shoreline positions and rates of coastal change for the entire Australian coastline from 1988 to the present. The dataset is produced by Geoscience Australia's Digital Earth Australia program, combining satellite data with tidal modelling to map the typical location of the coastline at mean sea level for each year. It enables the examination of trends in coastal erosion and growth at both local and continental scales.
From 2013 to 2020, this dataset provides daily, monthly, and yearly estimates of ground-level nitrogen dioxide (NO2) concentrations across China at a 10 km resolution. It was generated by Jing Wei at the University of Maryland using artificial intelligence to fuse ground measurements, satellite data, and atmospheric models. The dataset is noted as an old version that has been closed since a new version was published.
2000 to present daily, monthly, and yearly 1 km resolution ground-level PM1 concentrations for China. The dataset is generated from big data sources like satellite remote sensing and ground measurements using artificial intelligence. It is produced by Jing Wei from the University of Maryland, College Park, as part of the ChinaHighAirPollutants (CHAP) series.
ChinaHighO3 is a long-term, full-coverage dataset of ground-level ozone (MDA8 O3) concentrations across China from 1979 to 2020. It is part of the ChinaHighAirPollutants (CHAP) series, generated by fusing ground measurements, satellite data, and atmospheric models using AI techniques. The dataset provides daily, monthly, and yearly estimates at a 10 km resolution with reported cross-validation R² of 0.87.
ChinaHighPM10 is a long-term, high-resolution dataset of ground-level particulate matter (PM10) concentrations across China. It provides seamless daily, monthly, and yearly data at a 1 km spatial resolution from 2000 to the present, generated from multi-source big data using artificial intelligence. The dataset is part of the ChinaHighAirPollutants (CHAP) series and is noted for its high quality, with a reported daily cross-validation R² of 0.90.
From 2013 to 2020, this dataset provides daily, monthly, and yearly 1 km resolution ground-level PM₂.₅ chemical composition data for Eastern China. It was generated by Jing Wei and colleagues at the University of Maryland using AI to integrate ground measurements, satellite data, atmospheric reanalysis, and model simulations. The dataset includes concentrations of sulfate (SO₄²⁻), nitrate (NO₃⁻), ammonium (NH₄⁺), and chloride (Cl⁻) ions.
Daily mean and maximum measurements for air pollutants, meteorological variables, and pollen across the UK from 2016 to 2019. The dataset includes ground observations from the DEFRA AURN and Met Office MIDAS networks, alongside EMEP model forecasts for pollutants. It was compiled by Douglas Lowe of the University of Manchester and is presented in CSV format with original and imputed versions.
Experimental data from a 15-day study simulating combined climate change and diuron contamination effects on the calcareous green algae Halimeda opuntia. The dataset includes photosynthetic efficiency and oxygen production measurements from 54 experimental chambers across three climate scenarios and six diuron concentrations. Data was collected by the Australian Institute of Marine Science (AIMS) as part of the NESP TWQ 2.1.6 project.
IMOS data from a WERA phased array radar system measuring surface currents, wind direction, and significant wave height off the New South Wales coast. The Coffs Harbour site is located where the narrow, swift East Australian Current begins to separate from the coast, influencing regional marine connectivity. Data is provided by the Australian Ocean Data Network and was last updated in July 2026.
HF ocean radar data from the Coffs Harbour site measures the narrow, swift East Australian Current where it begins to separate from the coast. The Australian Ocean Data Network provides this delayed-mode data, which includes surface currents, wind direction, and significant wave height within a 100 km range. Data files were last updated on 2026-07-09.