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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,137 datasets
Annular to crescent-shaped low backscatter slicks in Synthetic Aperture Radar (SAR) data are interpreted as evidence of a coral spawn event in the Timor Sea. The dataset, hosted by the Australian Ocean Data Network, includes ancillary data like bathymetry and current velocities to differentiate these slicks from those caused by submarine topography. This analysis aims to improve petroleum and environmental assessments for shallow carbonate systems.
BOREAS region satellite imagery from the GOES-7 and GOES-8 satellites, covering a period from January 1994 to July 1995. The data includes three-band images with eight-bit pixel values in visible, infrared, and water vapor channels, collected at a high temporal frequency. Its primary objective was to analyze weather events and derive surface radiation parameters during the BOREAS field campaigns.
SBU Parsivel IMPACTS is a precipitation dataset collected by a Parsivel disdrometer for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. The dataset includes particle size distribution, fall speed, radar reflectivity, and precipitation rate measurements from winter season deployments over the U.S. Atlantic Coast. Data are available in netCDF-3 format from January 1, 2020, through March 2, 2023.
116 soil and bedrock samples were collected from profiles at ten sites above four porphyry deposits in the Dawson Range, Yukon. The Government of Yukon analyzed samples using the Au plus 32 package to evaluate metal distribution across soil horizons and size fractions. Results highlight trends in gold and copper enrichment and correlations with other metals.
NASA's Terra MODIS Level-3 Global Binned 11µm Nighttime Sea Surface Temperature (NSST) dataset provides near real-time (NRT) data. It is derived from thermal infrared observations and is designed to minimize diurnal warming effects. The data supports oceanographic monitoring and modeling, with variables including sea surface temperature in °C and an associated quality flag.
SST4 provides sea surface temperature retrieved from mid-wave infrared bands near 4 µm. This near real-time product offers reduced sensitivity to atmospheric water vapor compared to long-wave methods, making it a valuable complement for monitoring tropical or humid ocean conditions. The data provides a snapshot from a single satellite orbit, processed with the best-available ancillary meteorological and ozone data at the time.
Multiple spatial layers from the Port Phillip Bay Coastal Hazard Assessment, modelled for erosion, inundation, and groundwater scenarios. The dataset includes storm tide inundation extents for a 1% Annual Exceedance Probability event combined with 0.8 meters of sea level rise and rainfall. It was produced by CSIRO, Water Technology, and Kennedy (2022-2023) and published by the Department of Energy, Environment and Climate Action.
Daily fire weather indices for interior Alaska during active fire seasons from 2001 to 2010. The dataset contains six indices from the Canadian Forest Fire Weather Index System, gridded at 60-meter resolution. NASA developed this data through interpolation of weather station observations.
GISS ModelE2 contributions to the CMIP5 archive contain simulations from the Goddard Institute for Space Studies General Circulation Model. The dataset includes six model variations testing interactive versus noninteractive atmospheric composition, different aerosol indirect effect treatments, and two dynamic ocean components (Russell and HYCOM). Results present climatological means for the satellite era (1980-2004) from transient simulations starting in 1850.
A geospatial dataset from the Port Phillip Bay Coastal Hazard Assessment project models shallow groundwater extent hazards for sea level rise scenarios up to 1.4 meters. The dataset is produced by the Department of Energy, Environment and Climate Action and includes layers for groundwater, erosion, and storm tide inundation. The data was last updated on April 9, 2026.
Global satellite-derived rainfall rate maps at a 0.1-degree spatial resolution, produced hourly. The data were generated for the Global Precipitation Measurement (GPM) Ground Validation Iowa Flood Studies (IFloodS) field campaign. It combines microwave radiometer and geostationary infrared data from the JAXA GSMaP project.
A geospatial dataset from the Port Phillip Bay Coastal Hazard Assessment modeling shallow groundwater extent for sea level rise scenarios. The product includes multiple hazard layers for erosion, inundation, and groundwater, modeled for scenarios including a 1.1m sea level rise. It was produced by CSIRO, Water Technology, and Kennedy (2022-2023) for the Department of Energy, Environment and Climate Action.
Port Phillip Bay Coastal Hazard Assessment is a digital dataset of modelled erosion, inundation, and groundwater hazard scenarios for the Port Phillip Bay region. The dataset includes multiple spatial layers for storm tide inundation, erosion, and shallow groundwater extents under various sea level rise scenarios. Technical reports from CSIRO (2022), Water Technology (2023), and Kennedy (2022) accompany the data.
30-minute average concentrations of carbon monoxide and carbon dioxide, along with wind direction, wind speed, and air temperature, were recorded at the Maxaranguape Atmospheric Observatory in northeast Brazil from January 4, 2003 to December 27, 2006. This data represents upstream atmospheric boundary conditions for the Amazon basin. It can be combined with other regional datasets to estimate gas budgets.
Reliable surface water supply areas in New South Wales, defined by 150-meter buffers from regulated and unregulated rivers and creeks. Created in 2013 by the NSW Department of Climate Change, Energy, the Environment and Water, this dataset is used to identify Biophysical Strategic Agricultural Land (BSAL) for mining development assessments. The data is part of a tri-criteria framework that also includes reliable rainfall and highly productive groundwater.
China's historical and future distribution of Gastrodia elata, a prized medicinal herb, is documented from A.D. 25 to 2100. The dataset, created by Shiyan Liu and shared under CC-BY-4.0, models suitable growth areas using the MaxEnt model based on climate data and historical records from ancient texts. It was last updated on May 14, 2026.
A dataset documenting the historical and projected future distribution of the medicinal herb Gastrodia elata in China. It covers historical records from AD 25 to 1912 and future projections for 2081–2100 AD, created by Shiyan Liu. The data is stored in a 37.9 KB XLSX file.
Historical and future distribution data for the medicinal herb Gastrodia elata in China. The dataset covers a temporal range from 25 AD to 2100 AD, combining historical records from ancient texts with modern and future climate suitability projections. It was created by Shiyan Liu and published on figshare in May 2026.
A geospatial dataset documents the historical and projected distribution of the medicinal herb Gastrodia elata in China from A.D. 25 to 2100. It was created by Shiyan Liu and last updated in May 2026. The data combines historical records from ancient texts with future climate projections to model suitable growing areas.
China's historical and future distribution of the medicinal herb Gastrodia elata, modeled from A.D. 25 to 2100. Shiyan Liu authored this study, which uses ancient texts and MaxEnt modeling to track shifts in suitable production areas. The data was last updated on 2026-05-14.