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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
Acoustic Doppler Current Profiler (ADCP) data collected during the RV Investigator voyage IN2021_V02 between April 14 and April 28, 2021. The voyage, titled 'SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies', departed from and returned to Hobart, Tasmania. CSIRO National Collections and Marine Infrastructure processed and archived this quality-controlled dataset.
Geoscience Australia and JAMSTEC lead an international proposal for deep stratigraphic drilling on the Lord Howe Rise continental ribbon. The planned drilling aims to core Cretaceous and older sediments up to 2500 meters below the seafloor to study tectonic cycles, Cretaceous paleoclimate, and sub-seafloor microbial life. Preparatory work included a 2016 seismic survey mapping crustal structure and a planned 2017 site survey for geotechnical data.
Hydrology data from the Marine National Facility RV Investigator voyage IN2026_T02, which took place between April 23 and May 05, 2026. Samples for salinity, dissolved oxygen, and nutrients were collected from Niskin bottles at various depths during CTD deployments. The processed dataset is archived at the CSIRO National Collections and Marine Infrastructure Information and Data Centre in Hobart.
A manipulative microcosm experiment evaluated how six biocrust-forming lichen species affect soil available phosphorus and acid phosphatase activity after 50 months of simulated warming and rainfall reduction. The dataset likely contains measurements of inorganic, organic, and total available phosphorus concentrations, as well as enzyme activity data, from a controlled environmental study. It was authored by Laura Concostrina‐Zubiri and shared via Papers with Code.
Antarctic ice shelf data from NASA/CECS Antarctic Ice Mapping and NASA Operation IceBridge campaigns. The HDF5 files contain variables for ice thickness change rates, bottom melt rates, surface elevation, slopes, and geophysical corrections like ocean tides and atmospheric effects. The data was processed by Tyler Sutterley and is provided under a Creative Commons 4.0 license.
Simulated above-ground biomass data for larch forests near Ilirney lake, Chukotka, Russia, from years 1800 to 3000 CE. The dataset contains mean biomass values in kg m⁻² for three RCP scenarios (2.6, 4.5, 8.5) and hypothetical cooling scenarios from 2300 CE, aggregated from three simulation repeats. It was produced by Iuliia Shevtsova at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung using the updated LAVESI model.
Annual mean outputs from 1850 to 2014 from the AWI-CM3 version 3.0 pre-industrial control simulation. The dataset includes variables such as near-surface air temperature, precipitation, sea ice concentration, salinity, and mixed layer depth. It was produced by Jan Streffing at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung.
A novel GNSS Signal Amplitude Ratio Model (GSARM) demonstrates the feasibility of retrieving dry snow density from geodetic GNSS receiver signal-to-noise ratio observations. The study compares GSARM-derived snow density against PBO-H2O, ERA5-Land, and in-situ measurements over two GNSS sites for six consecutive years, reporting RMSD values ranging from 0.032 to 0.040 g/cm³. Jie Zhang authored this research, which provides supportive information for extending the applications of traditional geodetic GNSS sites.
Additional data supporting Mid-Holocene and Pre-Industrial climate simulations performed with the COSMO-CLM regional climate model. The data includes external parameters for soil type, albedo, and land mask, as well as a reference soil moisture file. The simulations were used for analysis in a manuscript by Russo et al. submitted to the journal Climate of the Past in 2021.
Two spreadsheets contain data from a controlled experiment evaluating how earthworms (Eisenia fetida) affect plant biomass and nitrogen capture. The study used mixtures of Lolium perenne and Plantago lanceolata under conditions of soil nutrient heterogeneity and elevated atmospheric CO2 concentrations. Data was collected by researchers including Fernando T. Maestre and published in Soil Biology & Biochemistry.
Records from 1994 onward inform a predicted current distribution model for the critically endangered Darling River Snail. The dataset was produced by the NSW Department of Primary Industries using the MaxEnt 3.3.3 species distribution model and environmental data from the Australian Hydrological Geospatial Fabric V2 and River Styles®. It is provided by the Department of Primary Industries and Regional Development (DPIRD) and was last updated in May 2026.
29 and 32 water samples were collected from the Yangjiang coastal sandy aquifer during the wet and dry seasons of 2020, respectively. The dataset includes measurements of eight trace metals (As, Ba, Cd, Cr, Fe, Mn, Pb, Zn) analyzed via ICP-MS, with specific detection limits and quality control recoveries reported. It was authored by Zhenyan Wang and shared via Papers with Code under an Open Access license.
Records from 1994 onward were used to model the current indicative distribution of the critically endangered Hanley's River Snail in New South Wales. The NSW Department of Primary Industries created this dataset by collating species records and modeling probabilities of occurrence using MaxEnt software with 30 stream variables. The data integrates the Australian Hydrological Geospatial Fabric V2 network, National Environmental Stream Attributes Database, and River Styles® geomorphology classifications.
2008-2016 historical and future scenario data for analyzing prescribed fire smoke impacts in California. The dataset includes aggregated estimates of PM2.5-attributed emergency department visits and rates, plus exposure mapping outputs. It was created by Andrew Rosenberg and colleagues for a 2024 study published in Earth's Future.
Seismic analysis of buried Upper Devonian reef structures in the Lennard Shelf, Canning Basin, Western Australia. The dataset includes frequency analysis from seismic-record sections, indicating potential reef structures through differential compaction signatures. It was published by the Australian Ocean Data Network and last updated in 2026.
373 paired measurements of Mean Summer Temperature (MST) and moisture balance (BIT-index) derived from GDGT distributions in the DeepCHALLA sediment sequence. The data series covers approximately 75,000 years for eastern equatorial Africa, with sediment ages based on a published model. This proxy climate record was produced by A.J. Baxter of Utrecht University.
Global 10 km resolution output from the DynQual model provides monthly estimates of discharge, water temperature, and key pollutant concentrations. The data includes total dissolved solids, biological oxygen demand, and fecal coliform concentrations, with a minimum discharge threshold applied for concentration calculations. Edward R. Jones of Utrecht University created this dataset, which is available via an Open Access license.
Global gridded analyses spanning the troposphere and stratosphere over a 32-year period from May 1958 to December 1989. Twenty-two monthly statistical quantities, created from upper air soundings, include means and variances of wind, temperature, geopotential height, moisture, and divergence. The dataset was compiled by Abraham H. Oort for comparing climate model simulations to observations.
Monthly and zonal mean coefficients for the 11-year solar cycle effect on stratospheric ozone derived from the CMIP6 ozone dataset. The dataset, created by Amanda C. Maycock of the University of Leeds, provides coefficients on a 3-D grid for the period 1960-2011. Coefficients are expressed in terms of both percentage and mole fraction change and include associated p-values.
West Antarctic Peninsula glacier dynamics from 2014 to 2021. The dataset includes calving front positions for 8 glaciers, ice speed time series for 105 glaciers, and regional climate model data for snowfall and melt. Benjamin J. Wallis from the University of Leeds published this data in 2023 to support research on seasonal glacier speed-up.