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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,740 datasets
The NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset provides high-resolution climate model outputs for the entire globe. It contains daily and monthly projections for maximum temperature, minimum temperature, and precipitation from 21 CMIP5 models under two greenhouse gas emissions scenarios (RCP 4.5 and RCP 8.5). This dataset was developed by NASA's Center for Climate Simulation (NCCS) to support the IPCC Fifth Assessment Report.
HF ocean radar data from the Coffs Harbour site measures real-time sea water velocity where the East Australian Current is at its narrowest and swiftest. The Australian Ocean Data Network provides this data, which also supports calculations for wind direction and significant wave height. Last updated metadata indicates a timestamp of 2026-05-05.
Daily meteorological and soil temperature data were collected from the Toolik Lake area of Alaska between 1998 and 2002. The dataset includes 28 files with measurements from two research sites: a tundra monitoring site and experimental plots with fertilized and unfertilized greenhouse areas. This subset was produced by the Arctic LTER and funded by the NASA Arctic System Sciences Program.
Nine microwave channels between 50-183 GHz provide calibrated brightness temperature data with an accuracy on the order of ±1 Kelvin. The Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR) was used as an airborne simulator for the GPM Microwave Imager (GMI) during the GPM Cold-season Precipitation Experiment (GCPEx). Its modified scan mode allowed simultaneous acquisition of conical and cross-track scan data to support Precipitation Measurement Mission algorithm development.
GPM Ground Validation Duke Parsivel IPHEx data were collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in the Southern Appalachian region of North Carolina. OTT laser-based Parsivel instruments operated from May 1, 2014 through June 30, 2014 to characterize warm season orographic precipitation regimes. The dataset contains precipitation intensity and drop size distribution parameters in ASCII-csv format for multiple instrument locations.
Multi-channel seismic reflection, wide-angle seismic refraction, bathymetry, gravity, and magnetic data acquired onboard the JAMSTEC vessel R/V Kairei in March–May 2016. The data collection includes a 680 km east-west profile and ~600 km of high-resolution 2D seismic data, presented by the Australian Ocean Data Network. Preliminary results were presented at the 2016 Seismological Society of Japan Fall Meeting.
The Lord Howe Rise east of Australia is a 600 km wide, 1,600 km long continental ribbon. Data includes a 680 km east-west seismic profile and ~600 km of high-resolution 2D seismic reflection data acquired by JAMSTEC vessel R/V Kairei in March–May 2016. Preliminary results from the 2016 Seismological Society of Japan Fall Meeting suggest varying basement from oceanic to continental crust.
Global Precipitation Mission (GPM) data is matched with ground-based radar observations from NOAA's WSR-88D network. This dataset contains variables for validating satellite precipitation estimates, including reflectivity, hydrometeor identification, rain rate, correlation coefficient, and quality control metrics. Data are available in netCDF-3 format from March 2014 to July 2021, with periodic updates planned.
Flight reports, weather forecasts, instrument reports, scientist summaries, and plan-of-day reports were collected from November 2015 to February 2016 during the Olympic Mountains Experiment (OLYMPEX). These documents support the ground validation of the Global Precipitation Measurement (GPM) mission satellite data. The reports are available in multiple formats including PDF, JPG, PNG, Microsoft Powerpoint, and Word, some archived within tar files.
A dataset from Gloria Villanueva on figshare, last updated in May 2026, describes phenotypic measurements from 293 recombinant lines of an eight-way Tomato Multi-Parent Advanced Generation Inter-Cross (ToMAGIC) population. Leaf dry matter ranged from 6.90% to 23.20%, and specialized phenolic metabolites like chlorogenic acid ranged from 0.18 to 6.77 g kg⁻¹ FW, with total phenolic content averaging 3.65 g kg⁻¹ FW.
A dataset from Gloria Villanueva describes measurements from 293 recombinant lines of an eight-way Tomato Multi-Parent Advanced Generation Inter-Cross (ToMAGIC) population. Leaf dry matter ranged from 6.90% to 23.20%, and phenolic metabolites like chlorogenic acid ranged from 0.18 to 6.77 g kg⁻¹ FW. The data was last updated on 2026-05-05.
293 recombinant tomato lines show leaf dry matter ranging from 6.90% to 23.20% and chlorogenic acid content ranging from 0.18 to 6.77 g kg⁻¹ FW. Gloria Villanueva published this dataset on figshare in May 2026, detailing phenotypic variation and candidate genes for traits linked to stress resilience.
293 recombinant lines from an eight-way Tomato Multi-Parent Advanced Generation Inter-Cross (ToMAGIC) population were measured for leaf traits. Leaf dry matter ranged from 6.90% to 23.20%, and phenolic metabolites like chlorogenic acid ranged from 0.18 to 6.77 g kg⁻¹ FW. The dataset, authored by Gloria Villanueva and last updated in May 2026, includes GWAS results identifying candidate genes.
August 14 to September 24, 2010, this dataset contains high-resolution vertical profile measurements from weather balloons launched during the Genesis and Rapid Intensification Processes (GRIP) field campaign. It was collected by NASA to study the formation and intensification of tropical storms and hurricanes. Soundings were taken from Barbados and Cape Verde, capturing atmospheric pressure, temperature, humidity, and wind data.
Urban heat and freshness islands and surface temperature gradients mapped for Quebec distribution areas with a population density of at least 400 inhabitants per km2. This product was created by INSPQ and CERFO in 2012, financed by the Quebec Green Fund. The dataset is archived and has been replaced by more recent versions from 2013-2014 and 2020-2022.
A species tolerance model developed by the Arthur Rylah Institute in 2011-2012 provides a relative measure of ecosystem sensitivity to changes in groundwater availability and quality. The output is a geospatial grid for Victoria, Australia, where each map unit is assigned a tolerance value based on the median of its contributing grid cells. The dataset is provided by the Department of Energy, Environment and Climate Action and was last updated on 2026-04 27.
MODIS/Aqua MYD11C2 Version 6 provides 8-day composite Land Surface Temperature and Emissivity (LST&E) data on a global 0.05-degree Climate Modeling Grid. Each granule contains 17 layers, including daytime and nighttime LST, quality control, observation times, view angles, and emissivity values for six MODIS bands. The product was decommissioned on July 31, 2023, with users directed to the updated Version 6.1.
MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V006 provides daily global land surface temperature and emissivity values on a 0.05-degree Climate Modeling Grid. The dataset includes daytime and nighttime observations of LST, quality control assessments, observation times, view zenith angles, clear-sky observation counts, and emissivity values for specific MODIS bands. It was decommissioned on July 31, 2023, with users directed to the updated Version 6.1 product.
MODIS/Aqua Vegetation Indices Monthly L3 Global 0.05Deg CMG V006 provides global monthly composites of vegetation health from NASA's Aqua satellite. The dataset includes the Normalized Difference Vegetation Index (NDVI) for continuity and the Enhanced Vegetation Index (EVI) for improved sensitivity in high biomass areas, projected on a Climate Modeling Grid of 3,600 by 7,200 pixels. This Version 6 product was decommissioned in July 2023, with users directed to the updated Version 6.1.
Diagenetic overprints in quartzose and volcanolithic sandstones from the Eromanga Basin include physical compaction, clay infiltration, and cementation. The dataset, hosted by the Australian Ocean Data Network, details authigenic mineral sequences and quantifies porosity and permeability, with volcanolithic sandstones averaging 35% porosity and quartzose sandstones averaging 29% porosity. This analysis correlates porosity-permeability patterns with the depositional environments of the Cadna-owie, Wallumbilla, Hooray, and Mooga Formations.