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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,099 datasets
A randomized controlled trial comparing remotely delivered Eye Movement Desensitization and Reprocessing (EMDR) and Cognitive Behavioral Therapy (CBT) for 89 adult survivors of the 2023 Kahramanmaraş earthquakes in Türkiye who met DSM-5 criteria for PTSD. The dataset includes primary outcome measures for PTSD severity and secondary outcomes for depression, anxiety, and emotion regulation, assessed at baseline, mid-treatment, and post-treatment. The trial was conducted by Metin Çınaroğlu and registered on ClinicalTrials.gov (NCT06758362).
A 2023 randomized controlled trial of 89 adult survivors of the Kahramanmaraş earthquakes in Türkiye who met DSM-5 criteria for PTSD. The dataset, authored by Metin Çınaroğlu and published in 2026, compares the efficacy of 12 sessions of remotely delivered Eye Movement Desensitization and Reprocessing (EMDR) and Cognitive Behavioral Therapy (CBT) against a wait-list control, measuring PTSD, depression, anxiety, and emotion regulation outcomes.
Supplementary file 2 from a study by Igor Leščešen provides data for analyzing hydrological drought persistence in Slovakia. The dataset is based on daily discharge records from 17 gauging stations in Carpathian headwaters and lowland reaches, aggregated into winter and summer seasons. It was last updated on 2026-05-22 and is licensed under CC-BY-4.0.
ACTmapi compiled the most comprehensive review of Canberra's catchments and flood risk to date. The dataset models a 1% Annual Exceedance Probability flood event for the Australian Capital Territory. It is provided by the ACT Government Geospatial Data Catalogue for public information purposes.
New South Wales climate station data for water modelling, provided by the NSW Department of Climate Change, Energy, Environment and Water. The dataset is served as an ArcGIS REST service and was initially published on 28/08/2024. Its spatial reference system is GDA94.
DAWN lidar data captures vertical wind profiles from a NASA DC-8 aircraft during the 2017 Convective Processes Experiment. The campaign conducted 16 missions over the Atlantic Ocean, Caribbean Sea, and Gulf of Mexico, deploying a suite of instruments including nearly 300 dropsondes for validation. This dataset provides a unique observational record for studying convection life cycles in tropical environments.
Rainfall data from the Global Precipitation Measurement (GPM) Mission Ground Validation Experiment collected at the National Space Science Technology Center in Huntsville, Alabama. The dataset is produced by NASA using an Autonomous Parsivel Unit optical disdrometer to measure particle size and fall velocity. It supports satellite validation campaigns, though gaps occur when the instrument is deployed to field sites.
Uncalibrated Doppler velocity spectra data collected by a vertically-pointing 2.8 GHz S-band profiler during the Midlatitude Continental Convective Clouds Experiment (MC3E). The dataset was gathered in Oklahoma from April 8 to June 7, 2011, with data saved hourly in the proprietary Vaisala SPC format. This NASA-organized experiment aimed to characterize convective cloud systems and precipitation to improve model parameterizations and satellite rainfall retrieval algorithms.
GEOS Forward Processing (FP) is a high-resolution atmospheric data assimilation system developed jointly by NASA's Global Modeling and Assimilation Office (GMAO) and NOAA's National Centers for Environmental Prediction (NCEP). It actively assimilates approximately 2 million observations per analysis cycle, including 750,000 AIRS radiance measurements, using a three-dimensional variational (3DVar) technique and the Incremental Analysis Update method to minimize spurious perturbations. The system integrates the finite-volume dynamics of the GEOS AGCM with physics packages and the Catchment Land Surface Model under the Earth System Modeling Framework.
The MODIS/Aqua Cloud Mask dataset provides global, 5-minute swath data for cloud detection and atmospheric analysis. It contains 9 scientific parameters, including cloud mask quality assurance and ancillary data, with cloud mask flags stored at 1-kilometer resolution and other parameters like geolocation at 5-kilometer resolution. The algorithm uses visible and infrared threshold tests to determine confidence levels for an unobstructed Earth surface view, also indicating scene shadows.
May 15-26, 2015 data collected from the Marine National Facility RV Investigator voyage between Sydney and Brisbane. The dataset includes continuous 5-second interval measurements of navigation, water properties, and atmospheric conditions. It is processed and archived by the CSIRO Oceans & Atmosphere Data Centre in Hobart.
Over 100 weather stations operated by Manitoba Agriculture provide hourly updates on air temperature, humidity, precipitation, wind, and soil conditions. The data is provided 'as is' with a disclaimer of warranties and liability, and has undergone minimal quality control. Values are reported at 15-minute, hourly, and daily intervals but may change due to corrections or equipment malfunctions.
Arctic high-latitude atmospheric data was collected by the NASA DC-8 aircraft during the SAGE III Ozone Loss and Validation Experiment II (SOLVE II) in the winter of 2003. This dataset includes in-situ meteorological, navigational, and water vapor measurements, alongside trace gas, aerosol, and remotely sensed data from multiple instruments. It was part of a 28-flight NASA campaign designed to validate satellite measurements and study polar ozone depletion processes.
SCOAPE-II R/V Point Sur Data contains in-situ atmospheric measurements collected from instruments onboard a research vessel during the May 2024 Satellite Coastal and Oceanic Atmospheric Pollution Experiment. The dataset was produced by NASA and the Bureau of Ocean Energy Management to assess pollution from offshore oil and gas activities and validate satellite observations like TEMPO NO2 columns. Data collection is complete, with measurements from sun photometers, ceilometers, aethalometers, anemometers, and pyranometers.
SCOAPE2_Sondes_Data contains vertical profile measurements of ozone collected by ozonesondes during the Satellite Coastal and Oceanic Atmospheric Pollution Experiment II (SCOAPE-II) in May 2024. This dataset supports the validation of satellite instruments like TEMPO and investigates the impact of offshore oil and gas activities on air quality. The campaign involved shipboard, ground-based, and aircraft measurements focused on the Gulf of America.
Two 30-year climate normal products cover the Last Glacial Maximum (~18,000 years ago) and the modern period (1975-2005) for Alaska. The dataset includes monthly and annual averages for temperature, precipitation, radiation, and evapotranspiration variables, derived by topographically downscaling general circulation model outputs with local station data. This NASA-produced dataset provides high-resolution (60 m) and multiple coarser-resolution versions for spatial analysis.
VIIRS/JPSS1 Surface Reflectance Daily L2G Global 1km and 500m SIN Grid NRT provides near real-time estimates of land surface reflectance. The dataset corrects top-of-atmosphere reflectance for atmospheric effects from gases and aerosols, using inputs from other VIIRS products and reanalysis data. It is produced daily for daytime conditions over global land areas, excluding oceans, and is tiled on a 10km x 10km grid compatible with MODIS.
42 rain gauge stations within the Konza LTER portion of the FIFE site recorded daily precipitation values. The dataset is a composite, with 12 stations providing daily data from April 1982 through December 1989, and 30 stations providing 30-minute data converted to daily totals from May to October 1987. High temperatures, humidity, and software issues caused intermittent data loss, but the recovered data were of high quality for observing rain cells.
DSCOVR's NISTAR instrument provides minute-by-minute measurements of the total radiant energy from the sunlit face of Earth. The Level 1A dataset contains calibrated radiance values in four broad spectral bands, from ultraviolet to far-infrared, integrated over the entire Earth disk. These data are foundational for calculating Earth's energy balance and monitoring changes in the climate system.
New South Wales data estimating the potential density of Domestic and Stock water rights along rivers and aquifers. The dataset was created by the NSW Department of Climate Change, Energy, the Environment and Water using spatial analysis of property data within a 400-metre buffer of water sources. It was last updated on 2026-04 27.