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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,178 datasets
Nearly 1.8 million gravity observations, including 1.4 million ground stations and 451,000 line km of airborne surveys, were processed to create this 2019 national grid. Geoscience Australia compiled data from government, industry, and research sources dating from the 1940s to 2019, applying terrain corrections and a Fourier transform to produce a first vertical derivative image. The resulting grid has a cell size of approximately 435 meters and covers Australia and its continental margins.
Geoscience Australia's National Gravity Compilation 2019 - CSCBA 0.5VD image is a processed gravity anomaly grid derived from approximately 1.8 million ground and airborne observations. The grid has a cell size of 0.00417 degrees (approximately 435m) and shows a half vertical derivative of complete Bouguer anomalies over Australia and its continental margins. Data sources include the Australian National Gravity Database as of September 2019 and global offshore gravity data from Scripps Institution of Oceanography, NOAA, and NGA.
August_2025_rainfall_data is a dataset published on Kaggle. The title suggests it contains precipitation measurements for the month of August 2025. The dataset's specific source, collection method, and geographic scope are not detailed in the available metadata.
Rainfall data from November 2023, published on Kaggle. The dataset's specific source, geographic scope, and collection method are not detailed in the available metadata. Further details about the data's structure and content require verification after download.
December_2023_rainfall_data is a dataset published on Kaggle. The title suggests it contains precipitation measurements for the month of December 2023. The specific source, geographic scope, and collection method are not detailed in the available metadata.
January_2024_Rainfall_Data is a dataset published on Kaggle. The title suggests it contains precipitation measurements for the month of January 2024. The dataset's specific source, geographic scope, and structure are not detailed in the available metadata.
July_2026_rainfall_data is a dataset published on Kaggle. The title suggests it contains precipitation measurements for the month of July 2026. The dataset's specific source, collection method, and geographic scope are not detailed in the available metadata.
April_2024_rainfall_data is a dataset published on Kaggle. The title suggests it contains precipitation measurements for the month of April 2024. The specific source, geographic scope, and measurement methodology are not detailed in the available metadata.
May_2024_rainfall_data is a dataset published on Kaggle. The title suggests it contains measurements of precipitation for the month of May 2024. The dataset's specific geographic scope, collection method, and detailed structure are not provided in the available metadata.
Rainfall data likely containing measurements for the month of July 2024. The dataset is published on Kaggle, but the author, organization, and specific collection method are unknown. The exact number of records, geographic scope, and measurement units are not specified in the available metadata.
Approximately 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 data from Scripps Institution of Oceanography, NOAA, and NGA. Geoscience Australia processed and quality-checked the data to ensure it is fit-for-purpose for revealing subsurface geological structure.
Australia and its continental margins are covered by a gravity anomaly grid derived from approximately 1.8 million observations. The grid, with a cell size of about 435 meters, combines ground, airborne, and offshore data from the 1940s to 2019. Geoscience Australia produced this first vertical derivative image from de-trended global isostatic residual anomalies.
Approximately 1.8 million gravity observations, including nearly 1.4 million ground stations and 451,000 line km of airborne surveys, were used to generate this grid. The data, compiled by Geoscience Australia, measures subsurface rock density variations and includes observations from the 1940s to 2019. It provides a de-trended global isostatic residual anomaly grid at a 0.00417-degree cell resolution.
Australia and its continental margins are covered by this gravity anomaly grid with a cell size of approximately 435 meters. The grid is derived from nearly 1.4 million ground stations and over 450,000 line kilometers of airborne surveys, processed by Geoscience Australia. It represents the half vertical derivative of the complete spherical cap Bouguer anomaly, calculated via a fast Fourier transform.
Eight-day global atmospheric data from the AIRS instrument aboard NASA's Aqua satellite, gridded at 1-degree resolution. This product provides averaged means, standard deviations, and counts for thermodynamic parameters like temperature profiles and cloud properties, as well as trace gases including carbon monoxide, methane, and ozone. The dataset is produced by the GES DISC and is available on NASA Earthdata and Data.gov.
Spain's environmental data includes metrics on population in drylands, degraded land area, water stress, groundwater status, and water erosion estimates. The dataset, created by Jaime Martinez-Valderrama, is aggregated at autonomous community, province, or river basin district levels. It was last updated in April 2026.
A gravity anomaly grid for Australia and its continental margins, derived from approximately 1.8 million ground and airborne observations. The grid, with a cell size of 0.00417 degrees (~435m), was generated by Geoscience Australia using data from the 1940s to 2019, including nearly 1.4 million ground stations and 451,000 line km of airborne surveys. It applies a tilt filter to the de-trended global isostatic residual (DGIR) to highlight edges of geological units.
Geoscience Australia's 2019 DGIR tilt grid is a geophysical dataset derived from approximately 1.8 million gravity observations. The grid has a cell size of 0.00417 degrees (approximately 435m) and shows a tilt of de-trended global isostatic residual anomalies over Australia and its continental margins. Data sources include the Australian National Gravity Database as of September 2019 and offshore data from the Scripps Institution of Oceanography.
Nearly 1.4 million gravity stations from a national database were used to create this tilt-filtered grid. The data combines ground observations from the 1940s onward with offshore gravity data, processed with terrain corrections. Geoscience Australia released this grid, which has a cell size of approximately 435 meters and covers Australia and its continental margins.
Global atmospheric data from the AIRS instrument aboard NASA's Aqua satellite provides monthly averaged geophysical parameters on a 1-degree latitude/longitude grid. The dataset includes thermodynamic variables like temperature profiles, cloud properties, and surface parameters, alongside trace gas concentrations for carbon monoxide, methane, and ozone. It is produced by NASA's GES DISC.