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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,659 datasets
The 2013-2020 Climate Change Action Plan dataset tracks budgets and project progress for actions by partner ministries and agencies in Québec. It allows monitoring of progress towards expected results in the fight against climate change. The dataset is provided by the Government and Municipalities of Québec and was last updated in April 2026.
Aquarius Level 3 ancillary sea surface temperature data are derived from Reynolds NCDC daily SSTs and processed to match the Aquarius mission's spatiotemporal grid. This dataset provides the 7-day, ascending-pass ancillary SST product used for calibrating the Aquarius satellite's ocean salinity retrievals. It represents the official end-of-mission public data release (Version 5.0) from the AQUARIUS/SAC-D mission.
Version 5.0 of the Aquarius mission's Level 3 ancillary sea surface temperature data provides annual, ascending-orbit maps at a 1-degree spatial resolution. The data are derived from daily Reynolds NCDC SST fields, processed and gridded to match the Aquarius salinity and wind speed products for calibration purposes. This dataset represents the official end-of-mission public release from the AQUARIUS/SAC-D satellite.
Seasonal climatology data provides ancillary sea surface temperature (SST) used for calibrating the Aquarius satellite's salinity retrieval. The data are derived from daily Reynolds NCDC SSTs, regridded and averaged to a 1-degree spatial resolution to match Aquarius Level 3 salinity and wind speed products. This dataset represents the official end-of-mission public release (version 5.0) from the AQUARIUS/SAC-D mission.
NASA's Aquarius Level 3 ancillary sea surface temperature (SST) data are derived from Reynolds NCDC daily SSTs and processed for salinity calibration. The dataset provides SST values gridded to a 1-degree spatial resolution across daily, weekly, monthly, seasonal, and annual time intervals. This specific product contains seasonal, descending-pass ancillary SST data from the official Version 5.0 end-of-mission public release.
685 original literature sources provide measurement data for aboveground litterfall mass and litter pool carbon, nitrogen, and nutrient concentrations. This compilation contains 1,497 site records from 575 distinct global locations, synthesizing direct field measurements reported from 1827 to 1997. The dataset was compiled by researchers with the intent to analyze global patterns of carbon and nutrient cycling in terrestrial ecosystems.
Code and data associated with a study by Bernauer et al. in revision for the journal Current Biology as of May 2026. The dataset is published under a CC-BY-4.0 license by author Olivia Marie Bernauer on the figshare platform. The specific data volume, row count, and column structure are not detailed in the available metadata.
Several thousand references to individual marine and oceanographic datasets are aggregated by the National Oceanographic Data Committee of the Netherlands. The data is managed in a distributed way by NODC members and accessed via the NODC-i portal, which functions as the Dutch node in the European SeaDataNet infrastructure. The datasets are provided by the Ministerie van Binnenlandse Zaken en Koninkrijksrelaties.
Daily sea surface temperature and salinity observations from lightstation-based sampling along the British Columbia coast, initiated in 1914. The program, now called the British Columbia Shore Station Oceanographic Program, involves 12 active stations and uses a consistent bucket-sampling method designed by Dr. John P. Tully. This method introduces a 14-day tidal cycle artifact into the daily time series data.
Sentinel-3 OLCI satellite data provides daily, full-resolution water quality parameters including chlorophyll-a (Chl-a), colored dissolved organic matter (CDOM), and total suspended solids (TSS). The data is produced by CSIRO for the eReefs project using the FUB-CSIRO Coastal Water Processor and is reprojected onto a regular grid. Standard and algorithm-specific quality flags are provided for data control.
Six key estuaries in North-West Tasmania were monitored using a program developed by Crawford and White (2006). The data for the Montagu River includes water column and sediment measurements such as salinity, temperature, dissolved oxygen, and chlorophyll a. This record is hosted by the Australian Ocean Data Network and was last updated in April 2026.
Aquarius satellite data provides ancillary sea surface temperature (SST) maps at a 1-degree spatial resolution, derived from the Reynolds NCDC dataset for calibrating ocean salinity measurements. These seasonal, ascending-pass products represent the official end-of-mission public release, version 5.0, from the AQUARIUS/SAC-D mission. The dataset supports the validation and interpretation of concurrent salinity and wind speed observations.
Daily sea surface temperature data, derived from the Reynolds NCDC 0.25-degree dataset and regridded to 1-degree resolution, serves as ancillary input for calibrating salinity retrievals from the Aquarius/SAC-D mission. This dataset represents the official end-of-mission public release (Version 5.0) and is provided at daily, 7-day, and monthly intervals. It is specifically the descending orbit, daily product.
Aquarius Level 3 ancillary sea surface temperature (SST) data are derived from the Reynolds National Climatic Data Center daily dataset and processed to support salinity retrieval from the AQUARIUS/SAC-D mission. The data are gridded to a 1-degree spatial resolution and are available at daily, 7-day, monthly, seasonal, and annual intervals. This specific dataset contains the monthly ancillary SST product from the official version 5.0 end-of-mission public release.
Global ocean data provides monthly, descending-orbit ancillary sea surface temperature (SST) maps at a 1-degree spatial resolution. This dataset is derived from Reynolds NCDC daily SSTs, processed to match the Aquarius salinity product's grid and is the official end-of-mission release (Version 5.0). It supports the calibration of satellite-derived sea surface salinity measurements.
The Great Barrier Reef is modeled by the 1km-resolution shelf-scale hydrodynamic model GBR1 version 2.0. The model ran in near-real-time mode, updating daily, until January 2024 when sensor damage during the monsoon season halted operations. Results are nested within a 4km model and incorporate atmospheric and river flow data from Australian agencies.
April 2008 survey data collected aboard the RV Southern Surveyor by the University of Wollongong and Geoscience Australia. The dataset maps the morphology and benthic environments of the shallow shelf and deeper flanks of the submarine volcano near Lord Howe Island. It was conducted as part of the Commonwealth Environment Research Facilities' Marine Biodiversity Hub to inform the revised Plan of Management for the Lord Howe Marine Parks.
Data Sheet 1 contains model outputs forecasting climate-driven extinction risk for the endemic lizard Micrablepharus atticolus. Cavalcante compared species distribution models built with environmental predictors, thermal performance, hours of activity, and hybrid combinations. Projections of habitat suitability were made for 2050 and 2070 using 12 global circulation models, three representative concentration pathways, and three land-use scenarios.
Canadian sub-basin level 84-hour accumulated precipitation forecasts from the Regional Deterministic Prediction System (RDPS). The data is aggregated from a ~10 km resolution weather model updated 4 times daily, produced by Environment and Climate Change Canada and provided by the Government of Manitoba. The dataset was last updated on March 18, 2026.
Smith et al. (2019) published a review article summarizing progress in deciphering the geological record of Antarctic ice shelves. The work addresses challenges in discriminating sub-ice-shelf sediments from other glacimarine environments and in dating these records to reconstruct past ice sheet dynamics. It outlines advances in proxies and methods required to test ice sheet models and identify drivers of historical change.