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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,225 datasets
Supplementary material for a study on pre-eruptive tilt changes in volcanoes. The dataset, published by Yuta Maeda on figshare, is a 203.8 KB XLSX file last updated on 2026-04-15. Its specific content and row count are unknown from the provided metadata.
1.6 MB Excel file published as supplementary material for a study on global volcano eruption mechanisms. The dataset, authored by Yuta Maeda and last updated on 2026-04-15, likely contains tilt change measurements. Its specific row count and column details are unknown.
Global groundwater and soil moisture drought indicators derived from GRACE and GRACE-FO satellite data assimilation. Scientists at NASA Goddard Space Flight Center generate these weekly percentile-based indicators, covering February 2003 to present with a 3-6 month latency. The data has a spatial resolution of 0.25 degrees and is archived in NetCDF format.
Nimbus-6 satellite daily infrared radiances measured across five spectral regions, including CO2 and water vapor absorption bands. The instrument scanned cross-track with 21 scans per side, providing data with approximately 30 km x 55 km resolution at nadir. These calibrated radiances were collected by NOAA's National Environmental Satellite Service from August 17, 1975 through March 4, 1976.
Environment Agency data tracks energy efficiency and emissions reductions achieved by UK industrial operators participating in the voluntary Climate Change Agreements scheme from 2013 to 2020. Operators across 53 sectors reported consumption and performance against biennial targets to qualify for tax discounts. The dataset contains sector-level performance results, published under the Climate Change Agreements (Administration) Regulations 2012.
13 Conferences of the Parties (COPs) to the UNFCCC are analyzed using keyword-assisted topic models on High-level Segment (HLS) speeches. The data, authored by Zack Almquist and hosted on Harvard Dataverse, was last updated on 2026-04-16. It is used to extract and analyze the value networks of negotiating countries over time.
445 qubits across three IBM Quantum backends are monitored every 30 minutes. This continuously-updated dataset pairs quantum hardware calibration data with concurrent atmospheric and space weather measurements. It was created by phanerozoic and last updated on April 8, 2026.
From 14 February to 31 May 2017, this dataset contains five earthquake catalogs generated for the 2017 Changdao offshore earthquake swarm in eastern China. It supports the study 'Evaluating Deep-Learning-Based Earthquake Detection in a Sparse Coastal Network' (Wang et al., 2026). The catalogs include matched-filter, deep-learning-based, double-difference relocation, and routine network catalogs.
Descriptive statistics from a 2019 survey on perceived air quality in Ulaanbaatar's Ger districts and city center, including self-rated knowledge subcategories. The dataset was authored by Rob Miller and published on figshare. It is a small dataset of 5.5 KB, last updated in April 2026.
185 million land and 50 million ship-based synoptic weather reports underpin this global climatology of cloud cover and types. It provides multi-year monthly, seasonal, and annual averages on 5x5-degree grids, with separate daytime and nighttime averages computed to minimize night-detection bias. The dataset updates a previous 1980s climatology and includes the phase and amplitude of diurnal and annual cycles for nine cloud types.
168 groundwater samples collected from 128 domestic wells across seven Montana counties from 2007 through 2010. The U.S. Geological Survey, in cooperation with local agencies, analyzed samples for radioactive constituents including uranium, radon, radium isotopes, and gross alpha/beta activity. Data includes comparisons to national water-quality data and EPA drinking-water standards.
Sea surface temperature data is produced at approximately 3 km resolution with a 15-minute duty cycle from the Spinning Enhanced Visible and InfraRed Imager on the Meteosat-9 satellite. The dataset is produced by NOAA NESDIS and covers the Indian Ocean region from June 11, 2022 to the present.
Annual sulfur dioxide emissions estimates for large point sources worldwide combine data from three satellite instruments: OMI, OMPS, and TROPOMI. The catalogue provides site coordinates, source type, country, annual emissions, uncertainties, and pixel counts for each instrument and a weighted average. The data are produced by the GES DISC organization as part of a Multi-Decadal SO2 Climatology project.
U.S. Forest Service data projects absolute changes in summer precipitation for National Forests in the contiguous United States. The maps compare historical data with RCP 8.5 projections for the 2080s, using state-of-the-art science. This dataset is part of the National Forest Climate Change Maps project, last updated in March 2026.
Projected annual temperature data for the 2080s under the RCP 8.5 scenario, compared to historical baselines. The dataset was created by the U.S. Forest Service to support climate-informed decision-making for National Forest planning across the contiguous United States. It is served as an ArcGIS image service and was last updated in March 2026.
Global 5 x 5 degree resolution maps quantify surface fluxes for pollutants including carbon monoxide, methane, nitrogen oxides, and sulfur oxides. The dataset from SCIOPS categorizes emissions from anthropogenic sources, biomass burning, plant foliage, and other natural sources, and includes deposition velocities.
Global sea surface temperature data derived from the AMSR2 instrument on the GCOM-W satellite. Remote Sensing Systems processes the final SST product using NCEP atmospheric model data. The instrument provides over 99% Earth coverage every 2 days via a 1450 km swath.
AMSR2's conical scan provides over 99% Earth coverage every 2 days with daytime and nighttime observations. This Level-3U dataset offers near-real-time subskin sea surface temperature, typically available within 3 hours of measurement, derived from the GCOM-W satellite instrument operated by JAXA and processed by Remote Sensing Systems. The v8.2 product supersedes the previous v8a version.
AMSR2 satellite data provides a refined sea surface temperature product with over 99% Earth coverage every two days. Remote Sensing Systems processes this Level 2P dataset for the GHRSST Project using atmospheric model inputs from NCEP. The instrument has been collecting data since its launch onboard the GCOM-W satellite in May 2012.
Data from May 2012 onward provides near-real-time subskin sea surface temperature measurements derived from the AMSR2 instrument on the GCOM-W satellite. The product is generated by Remote Sensing Systems for the GHRSST Project, with data typically available within 3 hours of observation. The conical scanning mechanism achieves over 99% Earth coverage every 2 days.