Loading...
Loading...
Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,199 datasets
Flux tower measurements quantify the exchange of energy and mass between a dry sclerophyll forest canopy and the atmosphere. The Cumberland Plain Woodland site features a 23-meter canopy dominated by Eucalyptus moluccana and Eucalyptus fibrosa, with an elevation of 20 meters and mean annual precipitation of 800 mm. Data were processed using PyFluxPro (v3.4.23) to produce a final, gap-filled product with Net Ecosystem Exchange partitioned into Gross Primary Productivity and Ecosystem Respiration.
Terrestrial Ecosystem Research Network's Data Discovery provides flux tower measurements of energy and mass exchange between the surface and atmosphere from the Great Western Woodlands site. Data were processed using PyFluxPro (v3.4.23) to produce a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). The site, established in 2012 in the Credo Conservation Reserve, monitors a unique semi-arid salmon gum woodland in south-west Western Australia.
Hourly mean values of nitrogen oxides (NOx) are provided by the Lower Austrian Air Quality Monitoring Network. The data is updated every hour and contains one-hour mean values in µg/m³ for the current day. The dataset is published by Cooperation OGD Österreich and Wikimedia Österreich under a CC-BY-4.0 license.
EastGRIP drilling location in Greenland is the focus of this 6-hourly model output from the isotope-enabled ECHAM6-wiso atmosphere GCM, nudged to ERA-5 reanalysis. The dataset covers the period from January 1990 to December 2020 and was produced by Alexandre Cauquoin of The University of Tokyo. It contains variables such as delta values for 18O and deuterium in vapor and precipitation, as well as total precipitation.
1979-2018 model values from four simulations produced with the isotope-enabled atmosphere GCMs ECHAM5-wiso and ECHAM6-wiso. The simulations were performed at different spatial resolutions (T63 and T127) and nudged to different reanalyses (ERA5 and ERA-Interim). The dataset was created by Alexandre Cauquoin of The University of Tokyo and described in a 2021 journal article.
Arizona State University researcher Aishwarya Iyer provides a 376MB grid of model atmospheres and synthetic spectra for M-dwarf stars. The data includes thermal profiles, spectra covering 0.1 to 20 microns, and chemical abundance mixing ratios. Supplementary figures show posterior probability distributions from fitting the models to benchmark M-dwarf observations.
Ka, W, and G-band radar observations of clouds and light precipitation were collected from March 23 to April 27, 2023, during the EPCAPE campaign in La Jolla, California. The dataset contains Doppler spectra, calibrated reflectivity, mean Doppler velocity, and spectrum width, organized by altitude and time. These multifrequency measurements from the CloudCube profiling radar are intended to demonstrate synergies for cloud property retrievals.
34 soil samples provide particle size distribution from 0.003 micrometers to 2 mm, classified by USDA soil class. Hourly soil moisture and temperature measurements are recorded at three stations (Auberge, Chalet, LaChaux) at multiple depths in the Vallon de Nant catchment. The dataset was contributed by Judith Eeckman of the University of Lausanne.
UCERF3 data files contain fault system solutions for the third Uniform California Earthquake Rupture Forecast. The dataset includes branch-averaged and full compound solutions across multiple fault models, representing 1,440 logic tree branches. Kevin R. Milner from the University of Southern California authored the dataset, which is associated with a published scientific paper.
Johannes Horak from Universität Innsbruck presents an evaluation of multi-year precipitation time series generated by the Intermediate Complexity Atmospheric Research model (ICAR). The dataset covers the South Island of New Zealand on a 4x4 km² grid for the eleven-year period from 2007 to 2017, with evaluation focused on 16 weather stations in complex topography. The study investigates ICAR's skill using standard scores and the influence of model top elevation, season, and synoptic weather patterns.
Alaska is the geographic scope for this integrated geospatial inventory of critical infrastructure and human-impacted areas in permafrost regions. Soraya Kaiser from the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung created the dataset by unifying data from Sentinel-1/2, OpenStreetMap, watershed databases, permafrost maps, and state contaminated site reports. The dataset is deployed as a GeoPackage containing multiple layers for spatial querying and analysis.
Australian Ocean Data Network provides water quality observations for Ashmore Reef, a tropical marine reserve. Data includes regional, lagoonal, and well water chemistry, sea surface temperatures, salinity, and tidal volumes, with records from 1991 and an intensive program since 1999. The dataset documents a semi-diurnal tide of 4.75 m and seasonal temperature ranges from 25.48°C to 34.5°C.
The Britain Breathing 2016-2019 dataset provides estimated daily mean and maximum values for air quality, meteorological, and pollen measurements across UK postcode districts. Ann Gledson from the University of Manchester created it using a 'concentric regions' method to interpolate data from the DEFRA AURN network, Met Office MIDAS archives, and EMEP model forecasts. It includes a 'rings' variable indicating the distance of sensors used for each estimate, allowing users to filter for confidence.
Volcanolithic sandstones in the Eromanga Basin average 35% core porosity and 125 md permeability, with micropores as the predominant pore-type. This dataset details the diagenetic history of Jurassic and Lower Cretaceous quartzose and volcanolithic sandstones, including authigenic mineral sequences and their impact on aquifer function. It covers formations such as the Cadna-owie, Wallumbilla, Hooray Sandstone, and Mooga Formation across New South Wales and Queensland.
Nine measurement locations in the Ragay Gulf, Philippines, show methane supersaturation in the top 5 meters of the sea averaging 206±16.5%. The dataset, hosted by the Australian Ocean Data Network, contains vertical distribution measurements of methane, revealing mid-water and bottom-water plumes between 80 and 100 meters thick. It was last updated on 2026-06-23.
A deep learning model and corrected surface melt time series for the Larsen Ice Shelf, Antarctica. The data includes a trained Multi-Layer Perceptron model and daily corrected melt estimates for three automatic weather station locations during austral summers from 2001 to 2016. The model was developed by researchers at Utrecht University as a proof-of-concept to improve regional climate model outputs using satellite and station data.
Antarctic climate data from 1979 to 2022, simulated by the regional atmospheric model RACMO2.3p2 at a 27 km horizontal resolution. The dataset includes monthly averaged surface mass balance and atmospheric variables, such as temperature, precipitation, and wind speed, forced by ERA5 reanalysis data. It was produced by Jan Melchior van Wessem of Utrecht University.
March–May 2016 marine geophysical data acquired by JAMSTEC and Geoscience Australia to study the Lord Howe Rise. The dataset includes a 680 km long east-west seismic refraction profile, approximately 600 km of high-resolution 2D seismic reflection data, and multibeam bathymetry, gravity, and magnetic data. Preliminary results from the 2016 Seismological Society of Japan Fall Meeting suggest variations in crustal nature from oceanic to continental.
Supplementary data tables from Zemp et al. (2019) in Nature provide annual glacier mass change results from 1961 to 2016. The dataset includes results for 20 glaciological clusters and 19 regions plus a global sum, derived from a variance decomposition model. It offers corrected results for Iceland and examples of multi-year error calculations for Central Europe.
Juha Sulo from the University of Helsinki presents a 16-year time series of atmospheric ion measurements from a boreal forest environment. The dataset includes median concentrations for cluster ions (0.8–2 nm) and intermediate ions (2–7 nm), and analyzes their long-term increasing trends. The study investigates factors explaining these trends, such as coagulation sink and meteorological conditions.