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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,267 datasets
Heiko Goelzer and collaborators provide processed model output from the ISMIP6 (Ice Sheet Model Intercomparison Project for CMIP6) multi-model ensemble study of the Greenland ice sheet. The dataset contains projections of the ice sheet's future contribution to sea-level rise, with results calculated over a 5x5 km grid covering the ice-covered area of Greenland. It supports analysis of model differences under various climate scenarios, with contributions from peripheral glaciers and ice caps removed.
The Kenn Plateau is a submarine continental fragment covering about 140,000 km², located 500 km east of Queensland. Its geological history includes Late Triassic to Late Cretaceous basins, Late Cretaceous stretching and breakup, and subsequent Paleocene drifting with 45-degree clockwise rotation. The plateau has subsided over 2000 meters since breakup and features rift volcanics, radiolarian chalks, and reef-fringed guyots from hotspot volcanic chains.
Fortnightly measurements of δ²H and δ¹⁸O stable isotopes in streamflow from 23 Swiss hydrological catchments, paired with interpolated monthly precipitation data. The dataset includes deuterium excess, streamflow conditions preceding sampling, statistical outlier z-scores, and lab quality control comments. Associated files provide mean areal precipitation, temperature, and topographic catchment boundaries.
Matterhorn Hörnligrat, Switzerland, at 3500 m elevation is the source for this dataset of acoustic and micro-seismic measurements from steep bedrock permafrost. It contains selected accelerometer and seismometer data in hourly .miniseed files, plus eight time series of threshold-triggered acoustic emission hits. The data were used in a peer-reviewed study on fracture characterization in permafrost.
Monthly runoff and evapotranspiration data at a 0.25-degree resolution for the headwater of seven river basins in the Tibetan Plateau from 2018 to 2100. Junshui Long of the Chinese Academy of Sciences generated this data using an LSTM-grid model trained with outputs from a cryosphere-hydrology model and multiple climate model inputs under SSP245 and SSP585 scenarios. The data is stored in NetCDF format, with separate files for each variable and scenario combination.
Four sets of annually resolved reconstructions for zonal wind, sea-level pressure, and surface temperature anomalies around Antarctica from 1900 to 2005 CE. The data were generated by Gemma K. O’Connor of the University of Washington using the Last Millennium Reanalysis data assimilation framework, assimilating either ice core or coral proxy records. Each reconstruction provides ensemble means from 100 members, with anomalies referenced to the 1961-1990 period.
Simlib_Minion is a set of simulated observation libraries derived from the LSST Operations Simulator baseline cadence 'minion_1016_sqlite.db'. The dataset contains four files summarizing observation conditions for Deep Drilling Fields (DDF) and Wide-Fast-Deep (WFD) fields, with and without nightly coadds, for use with the SNANA simulation code. It was generated by Rahul Biswas and collaborators using code from the OpSimSummary project.
Upper Hunter River Valley groundwater chemistry data from the Australian Ocean Data Network, last updated 2026-06-23. The description details chemical processes like silicate dissolution and ion exchange influencing water in Triassic, Carboniferous, and Permian rock aquifers. It discusses solute distributions and mineral disequilibrium indices for calcite, dolomite, and dawsonite.
A microfluidic platform, LOC-NIPI, generated and analyzed thousands of water-in-oil droplets to study atmospheric ice-nucleating particles (INPs). Mark D. Tarn from the University of Leeds validated the instrument using pollen and Snomax® samples, with over 10,000 droplets used to study homogeneous freezing. The continuous-flow system provides a potential route for automated atmospheric INP monitoring at field sites.
ML-TOMCAT V1.0 provides 42 years of gap-free global stratospheric ozone profile data from 1979 to 2020. The dataset was created by Sandip Dhomse at the University of Leeds using a Random Forest regression model to correct biases in TOMCAT Chemical Transport Model simulations. It contains monthly mean zonal mean ozone profiles on both geometric height and pressure levels, available in mixing ratio and number density units.
2237 ensemble members provide calibrated parameters for the FaIR simple climate model used in the IPCC Sixth Assessment Report. The dataset, drawn from a prior of 1 million members, is constrained by historical observations of warming, ocean heat content, and atmospheric CO2 concentrations. It includes full and reduced-size parameter sets optimized for climate assessment scenarios.
TOMCAT CTM simulated ozone profiles from five model simulations analyzed in a 2021 preprint by Dhomse et al. The dataset contains ozone profiles from a control simulation using ERA5 dynamical forcing and NRL V2 solar fluxes, plus simulations using SATIRE and SORCE solar fluxes, fixed solar fluxes, and annually repeating dynamical fields. The data was created by Sandip Dhomse of the University of Leeds.
20 sites along a mountain slope were sampled to record parasitoid communities, herbivory rates on Dryas flowers, and parasitism rates in Sympistis zetterstedtii larvae. The dataset was created by Tuomas Kankaanpää of the University of Helsinki to examine how microclimatic gradients structure ecological communities and interactions. It links community-level responses to parasitoid life-history traits and measures outcomes like parasitism and herbivory rates.
Over five years of particle concentration data and three years of precursor vapor measurements from the SMEAR II station in Hyytiälä, Finland. The dataset, created by Juha Sulo from the University of Helsinki, captures sub-3nm particle dynamics and seasonal variations in sulfuric acid and highly oxygenated organic molecules (HOMs).
2017 mobile and stationary air pollution measurements collected around an air quality monitoring site on Mäkelänkatu in Helsinki, Finland. The dataset was created by Mona Kurppa of the University of Helsinki for evaluating high-resolution air quality simulations with the PALM model system. It includes drone-based vertical profiles, mobile laboratory 'Sniffer' data, and observations from the SMEAR III station.
The Bureau of Mineral Resources (BMR) research cruise 78 was conducted by the R/V Rig Seismic from 24 March to 18 April, 1988. The cruise collected 1750 km of multichannel seismic data on the west Tasmanian margin and 265 km off southeast Tasmania, alongside geological samples from 49 stations. This work aims to define the geology, rifting history, stratigraphy, and petroleum potential of the Sorell Basin.
An archive of high-resolution seismic reflection profiles collected by the U.S. Geological Survey in Mississippi Sound and Bay St. Louis. The data were originally recorded on analog paper rolls and have been digitally scanned and processed into SEG-Y formatted files. The survey was conducted from the R/V Ecoli between September 13 and 19, 1989.
Datasets for the 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands contain model inputs and outputs. Inputs include seismicity catalogs, smoothed seismicity spatial probability density functions, subduction interface fault geometry, and fault-system solutions. Outputs include mean hazard curves, uniform-hazard ground motion data, epistemic uncertainty data, and hazard and risk maps.
225 pesticides were measured in duplicate surface water and groundwater samples collected by the U.S. Geological Survey between October 2012 and September 2015. The data set includes samples from 288 sites analyzed using direct aqueous-injection liquid chromatography-tandem mass spectrometry. This work was authored by Megan E. Shoda of the USGS.
Geoscience Australia and Intrepid Geophysics produced isostatic residual gravity anomaly grids of Australia in 2019. The grids were generated using the Airy isostatic compensation method, incorporating new digital elevation models and both Airy-derived and seismic-derived Moho depth grids. Comparisons show differences between the new models and Geoscience Australia's 2016 and 2019 isostatic models are typically less than a few µm/s².