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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,177 datasets
Seismic waveform tomography data from a 2019 study by Blom, Gokhberg, and Fichtner, corresponding to the upper ~500 km of the Earth. The dataset includes raw and processed seismograms, station and earthquake information, window selections, and synthetic seismograms from iterative gradient-based inversion across several frequency bands. The inversion involved a hundred iterations, with synthetic data stored for key iterations where human interaction occurred.
UNICEF's 2026 Children's Climate Risk report provides a detailed global picture of where children face the greatest climate threats. It establishes an evidence base for child-centric climate risk analysis using a pixel-level multi-hazard approach. The dataset includes data from the Global Child Hazard Database covering climate and climate-sensitive hazards for most countries and territories.
Calderdale Metropolitan Borough Council provides annual carbon dioxide emissions data from 2005 to 2014, broken down by industrial, commercial, residential, and transport sectors. The dataset includes trajectory columns showing progress toward a legally binding 40% reduction target from 2005 levels by 2020, derived from the UK's Climate Change Act 2008. Data is sourced from the UK Department for Environment, Food and Rural Affairs (DEFRA) and published with a two-year delay.
Zurich, Switzerland, is the location for this dataset of ozone and carbon monoxide concentration measurements. It was collected by the OpenSense mobile sensor network over 4.5 years, with sensors mounted on 10 streetcars. The dataset contains 19.9 million ozone samples from 2012 to 2016 and 49.7 million carbon monoxide samples from 2014 to 2016.
19.9 million ozone samples from 2012-2016 and 49.7 million carbon monoxide samples from 2014-2016 were collected by sensors mounted on 10 streetcars in Zurich, Switzerland. The dataset was created by researchers at ETH Zurich and includes GPS coordinates, timestamps, and sensor readings. Data quality requires cleaning and calibration, as the raw measurements have not been post-processed.
Meteorological data for jet stream core extraction and visualization derived from the ERA5 reanalysis product. The dataset contains attributes for a single point in time: September 1, 2016, at 00:00 UTC. It was created by Lukas Bösiger of ETH Zurich as demo data for the associated research publication.
October 2019 to April 2025 weather station data from three experimental common garden plantations along an elevational gradient in the Colombian Andes. The dataset includes direct and diffuse radiation, precipitation, air temperature, relative humidity, wind speed and direction, and atmospheric visibility recorded at a 10-minute resolution. It was collected by the Environmental Information Data Centre to investigate dominant Andean tree species responses to temperature changes.
City of Melbourne municipal greenhouse gas emissions from 2013 to 2020. The data measures emissions using the Global Protocol for Communities (GPC) method, reported annually through the Carbon Disclosure Project. Emissions are broken down by sector (Stationary energy, Transportation, Waste) and scope (1, 2, 3), quantified in metric tonnes of CO2 equivalent.
200,000 homes in the North West are estimated to be at flood risk. This geospatial dataset models surface water flood risk in Sefton, UK, for a 1 in 100 year storm event with a 30% climate change rainfall increase, developed by Sefton Council and partners using ESTRY-TUFLOW software. The models were updated in 2013 and are based on flood depth, velocity, and hazard calculated on a 5-meter grid.
200,000 homes in the North West are estimated to be at flood risk. This dataset contains flood outlines for Sefton, UK, generated by a 5m cell resolution hydraulic model simulating a storm event with a 3.3% annual probability. The model was developed by Sefton Council, the Environment Agency, Capita Symonds, and United Utilities, updated in 2013, and considers a 30% increase in rainfall intensity for climate change.
Digital Earth Australia Coastlines is a continental dataset providing annual shorelines and rates of coastal change for the entire Australian coastline from 1988 to the present. It combines satellite data from Geoscience Australia's Digital Earth Australia program with tidal modelling to map the typical location of the coastline at mean sea level for each year. The dataset is provided by the Australian Ocean Data Network.
Quebec's monthly climate normals are measured at stations operated by the Ministry of the Environment, Fight against Climate Change, Wildlife and Parks. The dataset is provided by the Government and Municipalities of Québec under a CC-BY-4.0 license and was last updated in July 2026. Data is available in multiple formats including CSV and GeoJSON.
Australian marine species data from 2021-2022 assesses climate-driven range shifts using citizen science databases like Redmap, iNaturalist, and Reef Life Survey. The project, managed by the NESP Marine and Coastal Hub, produced a report card and summary data listing species with old and new distribution ranges. Outputs include a spreadsheet dataset and a species assessment report with policy recommendations.
RV Investigator voyage IN2026_V03 collected hydrology data for the Southern Ocean Time Series (SOTS) southwest of Tasmania between May 14 and May 22, 2026. The dataset includes processed CTD, nutrient, dissolved oxygen, salinity, and underway thermosalinograph measurements, with carbon and alkalinity samples for shore-based analysis. Data is archived by CSIRO's National Collections and Marine Infrastructure Information and Data Centre.
A 100 to 200-year simulation period tested participants' ability to control atmospheric CO2 concentration. The dataset likely contains results from an interactive simulation based on the DICE-1992 model, where participants made emission decisions under different feedback delay conditions. The research was conducted by Varun Dutt at Carnegie Mellon University.
GSHA synthesizes global streamflow characteristics, hydrometeorology, and catchment attributes for 21,568 watersheds from 13 agencies. The dataset includes yearly streamflow metrics, daily meteorological variables, water storage terms, vegetation indices, land use data, and reservoir information, with multiple data sources for uncertainty estimates. It was created by researchers including Ziyun Yin from Peking University, with a companion article submitted in 2023.
A report overviewing aerosol concentrations in China, based on data from literature and recent research by the authors. The data shows TSP and PM-10 concentrations frequently exceed the National Ambient Air Quality Standard, with PM-2.5 accounting for 60% of PM-10 mass. The Chemical Mass Balance method was applied in Beijing to identify sources of PM-2.5, including fugitive dust, coal burning, traffic emissions, and secondary aerosol.
Mars years 24–30 (1999–2011) provide the temporal coverage for this dataset of 40,000 image patches from HiRISE observations. It is designed to train a classifier to detect 'dusty' versus 'not dusty' 100-by-100 pixel patches from both full-resolution (EDR) and browse-resolution (RDR) images. The dataset is pre-split into train, validation, and test sets, with balanced classes and manual vetting of a validation subset to estimate label noise.
A long-term plankton baseline for Australian waters, the Australian Continuous Plankton Recorder survey measures phytoplankton communities as a guide to ocean health. The dataset is a joint project of CSIRO Marine and Atmospheric Research and the Australian Antarctic Division, funded by the Integrated Marine Observing System. Results are available through the Australian Ocean Data Network portal, with data storage planned to be interoperable with other national and international programs.
A 141-year historical climate model simulation from 1871 to 2011, run at T106 (approximately 1-degree) resolution. The dataset was produced by Nathan Steiger of Columbia University using the isotope-enabled ECHAM5-wiso model on the Yellowstone supercomputer. It includes standard climate variables like temperature and precipitation, as well as specialized water isotope variables such as d18O and dD in precipitation, snow, and soil moisture.