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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,629 datasets
Aayush Shah's 2026 study analyzes patterns and drivers of rural out-migration in the Uttarakhand Himalayas. The dataset integrates spatial and empirical analysis of secondary data from the Uttarakhand Rural Development and Migration Commission and the Census of India with thematic analysis of qualitative interviews and focus group discussions. The research systematically identifies climate change as a direct and indirect driver of migration.
A mixed-methods study examines rural out-migration patterns and drivers in the Uttarakhand Himalayas. The research integrates spatial and empirical analysis of secondary data from the Uttarakhand Rural Development and Migration Commission and the Census of India with thematic analysis of qualitative interviews and focus group discussions. The dataset, authored by Aayush Shah and last updated in April 2026, systematically identifies climate change as a direct and indirect driver of migration.
Night-time sea surface temperature climatology was derived from MODIS-Aqua satellite data at 1 km resolution, spanning 18 years from 2003 to 2020. Fisheries and Oceans Canada processed the data, calculating monthly mean and standard deviation values for the Canadian Pacific Exclusive Economic Zone. The dataset provides three primary data layers: monthly mean SST, monthly standard deviation, and the number of valid data occurrences per pixel.
Geoscience Australia Data provides a record of Antarctic sedimentary sequences drilled over the last two decades. The data describes the region's influence on global climates over the past 50 million years, affecting sea levels, atmospheric composition, and ocean circulation. Last updated on 2026-05-31.
A geospatial grid of de-trended global isostatic residual (DGIR) tilt anomalies covering Australia and its continental margins. The grid is derived from nearly 1.4 million gravity stations in the Australian National Gravity Database and offshore data, with a cell size of approximately 435 meters. Geoscience Australia produced this image from the 2019 Australian National Gravity Grids A series, incorporating ground data collected from the 1940s onward.
Nearly 1.4 million gravity stations from the Australian National Gravity Database were used to generate this spherical cap Bouguer anomaly grid. The grid has a cell size of 0.00417 degrees (approximately 435m) and is derived from ground observations as of September 2019, supplemented with offshore global data. Geoscience Australia processed and quality-checked the data, which is provided in units of um/s^2 (gravity units).
Australia and its continental margins are covered by a gravity anomaly grid with a cell size of approximately 435 meters. The compilation integrates nearly 1.4 million ground stations, 345,000 line km of airborne gravity, and 106,000 line km of airborne gravity gradiometry data collected from the 1940s to 2019. Geoscience Australia processed the data to produce a de-trended global isostatic residual (DGIR) tilt image for geological edge detection.
Geoscience Australia's 2019 National Gravity Compilation includes a de-trended global isostatic residual (DGIR) image derived from gravity data. The grid is based on nearly 1.4 million ground stations and over 450,000 line kilometers of airborne gravity and gradiometry surveys collected from the 1940s to 2019. It covers Australia and its continental margins with a cell size of approximately 435 meters, with data provided in gravity units (um/s^2).
A -7.63% annual average groundwater decline was observed in Laos from 2018 to 2022. This dataset integrates multi-source satellite remote sensing data with machine learning models to analyze soil moisture, evapotranspiration, water deficits, and drought severity. It was created by ketsana phommavong and last updated in April 2026.
Nearly 1.4 million ground gravity stations and 451,000 line kilometers of airborne surveys were used to generate this free air anomaly grid. The grid, with a cell size of approximately 435 meters, shows gravity variations over Australia and its continental margins to reveal subsurface geology. Data was compiled by Geoscience Australia from government, industry, and research sources dating from the 1940s to 2019.
Nearly 1.4 million gravity stations from the Australian National Gravity Database, supplemented by global marine data, were used to create this 2019 grid. Geoscience Australia processed ground observations collected from the 1940s onward, applying a half vertical derivative to de-trended global isostatic residual anomalies. The resulting image has a cell size of approximately 435 meters, revealing sub-surface geological structures across the continent and its margins.
Australia and its continental margins are covered by this gravity grid with a cell size of approximately 435 meters. The grid shows de-trended global isostatic residual anomalies derived from nearly 1.4 million gravity stations in the Australian National Gravity Database and supplemented by offshore data. Geoscience Australia produced this compilation from ground observations collected from the 1940s onward and marine data from global sources.
A 2019 compilation of gravity data for Australia and its continental margins, derived from nearly 1.4 million ground stations and supplemented by offshore data. The grid has a cell size of approximately 435 meters and shows de-trended global isostatic residual anomalies. Data was compiled by Geoscience Australia from observations collected by government, industry, and research organizations from the 1940s to 2019.
Nearly 1.4 million ground gravity stations, 345,000 line km of airborne gravity, and 106,000 line km of airborne gravity gradiometry were used to create this 2019 gravity anomaly grid. The data, compiled by Geoscience Australia, integrates ground observations from the 1940s onward with offshore data from global sources. The resulting grid has a cell size of approximately 435 meters and shows a half vertical derivative of complete Bouguer anomalies over Australia and its margins.
Nearly 1.4 million gravity stations from the Australian National Gravity Database, supplemented by offshore data, were used to generate this grid. The grid has a cell size of 0.00417 degrees (approximately 435m) and shows a tilt of the de-trended global isostatic residual anomalies over Australia and its continental margins. The data, processed and quality-checked by Geoscience Australia geophysicists, were collected from the 1940s to September 2019 by government, industry, and research organizations.
2019 gravity anomaly grid for Australia and its continental margins, derived from approximately 1.8 million ground and airborne observations. The grid has a cell size of 0.00417 degrees (approximately 435m) and incorporates data from the 1940s to 2019, sourced from government, industry, and research organizations. It was processed and quality-checked by Geoscience Australia geophysicists.
Geoscience Australia's National Gravity Compilation 2019 CSCBA 1VD image is a processed geophysical grid derived from nearly 1.4 million ground stations and offshore data. The grid has a cell size of approximately 435 meters and represents the first vertical derivative of complete spherical cap Bouguer anomalies. Data was compiled from sources dating from the 1940s to 2019, with station spacing ranging from 11 km to less than 1 km across the continent.
Nearly 1.4 million gravity stations from the Australian National Gravity Database were used to generate this free air anomaly grid. The grid covers Australia and its continental margins with a cell size of approximately 435 meters, showing anomalies in units of um/s^2. Geoscience Australia compiled this data from ground observations dating from the 1940s onward, supplemented with offshore data from global sources.
Two research expeditions, Leg 0 and Legs 1-9, sampled the Southern Beaufort Sea and Amundsen Gulf from September 2002 to August 2004. The Canadian-led program tested a central hypothesis linking atmospheric, oceanic, and hydrologic forcing of sea ice to biogeochemical carbon fluxes on the Mackenzie Shelf. Nine specific research projects covered topics from atmospheric forcing and microbial communities to benthic carbon cycling and coupled bio-physical modeling.
Passive tracer results for 35 significant rivers, derived from the eReefs 4km-resolution hydrodynamic model of the Great Barrier Reef. The model is forced with high-resolution atmospheric, ocean, tide, and river boundary data from sources like BARRA and BRAN2020. This dataset, produced by the Australian Ocean Data Network, is the best available eReefs river tracer model for its timespan and supports the Reef 2050 Water Quality Improvement Plan.