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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,748 datasets
AirMOSS project data provides high-frequency airborne measurements of carbon dioxide and water vapor fluxes from 26 flights over Duke, Harvard, and Howland Forest sites. The dataset, produced by NASA and Purdue University, includes estimates of surface CO2 flux, sensible and latent heat fluxes, their uncertainties, and wind data. Measurements were collected during summer campaigns from 2012 to 2014.
58 Australian Marine Parks have their sea surface temperature warming rates measured over 15 years. The dataset provides annual and monthly warming rates derived from MODIS satellite imagery. This research is supported by the National Environmental Science Program Marine Biodiversity Hub.
IMOS - AusCPR: Phytoplankton Colour Index (PCI) data measures plankton communities as a guide to ocean health around Australia. The dataset supports mapping plankton biodiversity, developing a long-term baseline, and documenting changes in response to climate change. It is a joint project of CSIRO Marine and Atmospheric Research and the Australian Antarctic Division, funded by the Integrated Marine Observing System.
High-resolution aeromagnetic and gravity survey data predicts at least ∼1,100 km³ of Central Atlantic Magmatic Province basalt in offshore New York Bight and Long Island basins. The dataset, authored by Jack N. Turney and last updated in May 2026, provides new constraints on basin structure and volcanic distribution along the eastern U.S. coastline. This analysis suggests offshore volcanic activity may have occurred during and after the main rifting phase, differing from previous models.
Australian Ocean Data Network provides an educational dataset illustrating sonar techniques for mapping the ocean floor. The data supports activities for processing and plotting to discover seafloor features like submarine canyons, seamounts, and shipwrecks. It was last updated on 2026-06-04.
Projections for 2021–2100 model the climatic suitability of 44 forest species and 49 genetic groups across Spain under four climate scenarios. The dataset, created by Eulogio Chacón-Moreno and last updated in April 2026, integrates species distribution models with genetic-group level analysis and uncertainty quantification. It provides spatially explicit results at a 1 km² resolution based on downscaled CMIP6 climate model data.
93 forest taxa, including 44 species and 49 genetic groups, were modeled for future climatic suitability across the Iberian Peninsula. The dataset was created by Eulogio Chacón-Moreno and last updated in April 2026, integrating projections from 10 CMIP6 climate models under four socioeconomic pathways and three future time horizons. It provides spatially explicit suitability and uncertainty metrics at a 1 km² resolution to inform climate-resilient forest planning.
44 forest species and 49 genetic groups were modeled for future climatic suitability across Spain using an ensemble of 10 CMIP6 Earth System Models under four Shared Socioeconomic Pathways. The framework, developed by Eulogio Chacón-Moreno, integrates species-level responses, genetic differentiation, and explicit uncertainty analysis at a 1 km² resolution. Projections cover three future time horizons (2021–2050, 2041–2070, 2071–2100) and were last updated in April 2026.
Eulogio Chacón-Moreno's dataset provides climate suitability projections for forest planning in Spain. It includes models for 44 forest species, 12 of which are analyzed at the genetic-group level, resulting in 93 total taxa. The data, last updated in 2026, uses downscaled climate projections from 10 CMIP6 models across four emission scenarios and three future time horizons.
93 forest taxa, including 44 species and 49 genetic groups, were modeled for future climatic suitability across Spain. An ensemble of species distribution models was calibrated using downscaled climate data from 10 CMIP6 Earth System Models under four socioeconomic pathways and three future time horizons. The framework, developed by Eulogio Chacón-Moreno, provides spatially explicit projections with quantified uncertainty for climate-resilient forest planning.
A 37.6 KB dataset containing results from a controlled laboratory experiment investigating the effects of temperature and light on primary production in the non-native alga Vaucheria sp. in the European Wadden Sea. The data, authored by Ronny Steinberg and last updated in May 2026, includes measurements of oxygen concentration as a proxy for primary production across temperature gradients from 16°C to 36°C and light intensities from 100 to 900 µmol photons m⁻² s⁻¹.
CAMEX-3 ATMOSPHERIC EMITTED RADIANCE INTERFEROMETER (AERI) V1 contains absolutely calibrated radiance measurements for atmospheric temperature and moisture retrievals. The University of Wisconsin-Madison, Space Science and Engineering Center collected this data during the CAMEX-3 campaign. The dataset provides a reference for validating radiosonde, LIDAR, and other remote sensing instruments.
LIDAR Atmospheric Sensing Experiment data provides vertical profiles of water vapor, aerosols, and clouds throughout the troposphere. The dataset was collected by NASA's airborne DIAL system aboard a DC-8 aircraft during the CAMEX-4 campaign. It includes simultaneous nadir and zenith measurements from 2001.
680 survey responses from Californian residents combined with localized seismic risk data. The dataset was created by Reyna L. Reyes-Núñez and hosted on Harvard Dataverse, last updated on 2026-06-18. It examines the relationship between seismic risk, household income, and individual preparedness for earthquakes.
Airborne gamma radiation surveys were conducted over three Meso-cell Study Areas in northern Colorado. NASA collected data during five distinct periods from September 2001 to March 2003 to establish background radiation for calculating snow water equivalent and soil moisture. This dataset supports the Cold Land Processes Field Experiment (CLPX).
Over 40 monitoring sites in the Saint Lawrence River basin provide long-term freshwater quality data for nutrients, metals, and other variables. Environment and Climate Change Canada, along with provincial partners, collected this data over 15 years or more to assess status, trends, and the effectiveness of regulatory actions. Data from provincial sites is available through Quebec's Ministry of Sustainable Development, Environment and the Fight against Climate Change.
Over 10 monitoring sites in the Pacific Coastal Basin have been tracked for at least 15 years. Environment and Climate Change Canada collected this long-term data on nutrients, metals, major ions, and other physical-chemical variables. The dataset supports assessments of water quality status, long-term trends, and the effectiveness of regulatory measures.
Long-term freshwater quality monitoring data for over two sites in the Okanagan-Similkameen Basin for the past 15 years or longer. Environment and Climate Change Canada collected this data under a federal-provincial agreement to assess status, detect emerging issues, and track regulatory effectiveness. The dataset includes measurements for nutrients, metals, major ions, and other physical-chemical variables.
GPM Ground Validation Campaign Reports IFloodS V1 consists of reports filed by scientists during the Iowa Flood Studies (IFloodS) field experiment from April to mid-June 2013. The dataset includes Mission Scientist, Instrument Scientist, and Weather Forecast reports, often with attachments, documenting the campaign to collect detailed surface precipitation measurements. Its cross-platform presence on Data.gov and NASA Earthdata signals its importance for satellite precipitation validation.
Video footage documents aircraft flights during the Global Precipitation Measurement mission's Integrated Precipitation and Hydrology Experiment. The dataset contains MP4 files from flights on June 6 and June 8, 2014, over the Southern Appalachians, Piedmont, and Coastal Plain of North Carolina. Files are processed to 12.5 times original speed and segmented into ~3.5-minute clips.