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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,178 datasets
Research from 2001 to 2010 quantified how El Niño intensity and sea-surface temperature increases lead to decreased breeding, increased foraging effort, and reproductive failure across multiple seabird species on the Great Barrier Reef. The dataset, managed by the Australian Ocean Data Network, also identifies important foraging areas and examines impacts from cyclones and tourist visitation. Findings are supported by multiple peer-reviewed publications from 2003 to 2009.
GSSM1km provides surface soil moisture (0-5 cm) at a 1 km spatial and daily temporal resolution globally from 2000 to 2020. The dataset was generated by Han using physics-informed machine learning, integrating data from the International Soil Moisture Network, remote sensing, and meteorological sources. Its performance shows a root mean square error of 0.05 cm³/cm³ and a correlation coefficient of 0.9 on the testing set.
NESP TWQ Project 2.1.3 data was collected from land managers and other sources to evaluate water quality improvement program marketing in the Great Barrier Reef region. The project, led by James Cook University in partnership with Australian and Queensland government departments, used these evaluations to inform engagement strategies from 2016 to 2018. Its goal was to demonstrate methods for monitoring how program changes improve adoption and alter land manager behaviors.
A 21-year global daily surface soil moisture product at a 1-kilometer resolution, representing the volumetric water content of the uppermost soil layer (0–5 cm). It was generated by Yufang Zhang of Wuhan University using an ensemble machine learning model that fused GLASS satellite products and ERA5-Land reanalysis data. Validation results show a median unbiased RMSE of 0.052 m³/m³ and an R of 0.74.
AIMERG is a precipitation dataset for Asia with a spatial resolution of 0.1 degrees and a temporal resolution of half-hourly intervals. It was created by researchers including Ziqiang Ma from Peking University, calibrating GPM IMERG data using APHRODITE at a daily scale. The dataset covers the years 2000 to 2008 for the land area between 60°E-150°E and 15°S-55°N.
2000 to 2015 precipitation data for Asia at a 0.1-degree spatial and half-hourly temporal resolution. The dataset was created by researchers from Peking University, calibrating GPM IMERG satellite data with APHRODITE ground-based observations at a daily scale to improve quality. It covers land areas from 60°E to 150°E and 15°S to 55°N, with data available in GeoTIFF format.
A 26-year AVHRR Sea Surface Temperature dataset from 1992 to 2018 maps the East Australian Current off northern New South Wales. The Australian Ocean Data Network provides this data, which was processed using a Topographic Position Index technique. The analysis shows the current moves an average of ~6 km closer to the coast in austral summer and autumn, occupying a shelf area ~12% larger.
Multichannel seismic data collected off Wilkes Land, East Antarctica, reveals four distinct sedimentary units representing phases of the Cenozoic East Antarctic Ice Sheet evolution. The data, hosted by the Australian Ocean Data Network, was last updated on 2026-06-27. It documents transitions from Cretaceous synrift deposits to phases dominated by turbidites and later sediment-starved conditions.
40% of Australia's groundwater is stored in fractured rock aquifers, which this dataset inventories. The Australian Ocean Data Network compiled descriptive attributes on location, geology, hydrogeology, and land use for areas bounded by spatial groundwater features. The dataset is associated with a Hydrogeology Index map and was last updated on 2026-06-27.
Zenodo repository for a study analyzing synoptic-scale contributions to extreme precipitation trends over the Northeast United States using 25-km GFDL SPEAR_HI high-resolution climate model simulations. The dataset is associated with research by Bor‐Ting Jong of Princeton University and collaborators, with a related publication in Npj Climate and Atmospheric Science in 2023. The underlying SPEAR modeling system is documented in the Journal of Advances in Modeling Earth Systems.
Eric R. Gulson‐Castillo from the University of Michigan provides data and code analyzing the impact of geomagnetic disturbances on nocturnal bird migration. The study found evidence for a ~10% decrease in migration intensity after controlling for weather variables and spatiotemporal autocorrelation. Data sources include the NOAA NEXRAD network for weather radar, North American Regional Reanalysis for weather, and the SuperMAG inventory for magnetometer data.
Lauren A. Rogers from Stanford University created a dataset describing communities-at-sea, which are peer-groups of commercial fishing vessels sharing a gear type and home port. It was derived from Vessel Trip Report (VTR) data for trips reported by vessel captains between 1996 and 2014. The dataset includes measurements for the size of servicesheds (customary fishing grounds) and climate change risk exposure scores for these communities.
A fleet of Australian ocean bottom seismographs (OBSs) with broadband frequency range, available at only five or six institutions globally. The multi-purpose devices record passive-source seismic data like earthquakes and ambient noise, as well as active-source data from airgun arrays, while also monitoring survey noise and whale calls. Data collected during commercial seismic surveys in Australian waters can image the velocity distribution of the crust and upper mantle.
Pore-water and solid-phase geochemical data from the Kazan Mud Volcano in the Eastern Mediterranean Sea, published by the Australian Ocean Data Network. The dataset includes depth-dependent methane concentrations, sulfate profiles, and isotopic compositions used to model anaerobic oxidation of methane (AOM) and gas hydrate formation. The last update was recorded on 2026-06-27.
A dry year precipitation dataset complements 13 other datasets for a study comparing ancient settlement patterns with modern environmental conditions in Syria's Jazira region. The dataset was created by the University of Edinburgh to show annual precipitation in millimeters for modeling subsistence activities like barley and wheat farming. It was last updated on 2026-07-08.
1963 monthly temperature and precipitation readings for al Qamishli, Syria, processed by the University of Edinburgh. This dataset was created as part of a study comparing ancient settlement patterns with modern environmental conditions in the Jazira region. The data was used to generate evapotranspiration (ETP) rate bar graphs for analysis.
13 environmental datasets were created for a study comparing ancient and modern settlement patterns in Syria's Jazira region. The University of Edinburgh produced this surface hydrology dataset, which includes ephemeral streams like wadis, with attributes for stream order and type. The data was last updated on 2026-07-08.
13 environmental datasets were created for a study comparing ancient and modern settlement patterns in Syria's Jazira region. The geology dataset maps locations of igneous rock, geological sediments, and relative dates, with Russian geologists indicating volcanic activity continued into the Holocene. The data was created by the University of Edinburgh and last updated in July 2026.
The Jazira region of Syria is the focus of this dataset showing precipitation patterns for normal years, with annual precipitation measured in millimetres. It was created by the University of Edinburgh as part of a study comparing ancient settlement patterns with modern environmental conditions. The dataset complements 13 other environmental and archaeological datasets used in the analysis.
A subsurface hydrology dataset complements 13 other environmental datasets for a study comparing ancient and modern settlement patterns in Syria's Jazira region. The dataset includes water quality index values and maps surface and subsurface irrigation zones. It was created by the University of Edinburgh as part of an archaeological and environmental modelling study.