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Found 9 result(s)
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coastMap offers campaign data, model analysis and thematic maps predominantly in the Biogeosciences. Spotlights explain in a nutshell important topics of the research conducted for the interested public. The portal offers applications to visualise and download field and laboratory work and to connect the information with interactive maps. Filter functions allow the user to search for general topics like a marine field of interest or single criteria, for example a specific ship campaign or one of 1000 measured parameters. The Model Analysis Tool uses a "Big Data" approach and allows expert of different disciplines to access detailed and high-resolution oceanographic model data. An interface is provided to statistically examine and download subsets of model-derived data.
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The National Pollutant Release Inventory (NPRI) is Canada's legislated, publicly accessible inventory of pollutant releases (to air, water and land), disposals and transfers for recycling. It is a key resource for: identifying pollution prevention priorities; supporting the assessment and risk management of chemicals, and air quality modelling; helping develop targeted regulations for reducing releases of toxic substances and air pollutants; encouraging actions to reduce the release of pollutants into the environment; and improving public understanding. The NPRI comprises: Information reported by facilities and published by Environment and Climate Change Canada under the authority of Sections 46 – 50 of the Canadian Environmental Protection Act, 1999 (CEPA 1999); and Comprehensive emission summaries and trends for key air pollutants, based on facility-reported data and emission estimates for other sources such as motor vehicles, residential heating, forest fires and agriculture. For the latest reporting year, 7,708 facilities reported to the NPRI on more than 300 listed substances. Comprehensive air pollutant emission summaries and trends were compiled by Environment and Climate Change Canada for criteria air contaminants (the main pollutants contributing to smog, acid rain and/or poor air quality), selected heavy metals and persistent organic pollutants.
The Bremen Core Repository - BCR, for International Ocean Discovery Program (IODP), Integrated Ocean Discovery Program (IODP), Ocean Drilling Program (ODP), and Deep Sea Drilling Project (DSDP) cores from the Atlantic Ocean, Mediterranean and Black Seas and Arctic Ocean is operated at University of Bremen within the framework of the German participation in IODP. It is one of three IODP repositories (beside Gulf Coast Repository (GCR) in College Station, TX, and Kochi Core Center (KCC), Japan). One of the scientific goals of IODP is to research the deep biosphere and the subseafloor ocean. IODP has deep-frozen microbiological samples from the subseafloor available for interested researchers and will continue to collect and preserve geomicrobiology samples for future research.
The World Data Center for Remote Sensing of the Atmosphere, WDC-RSAT, offers scientists and the general public free access (in the sense of a “one-stop shop”) to a continuously growing collection of atmosphere-related satellite-based data sets (ranging from raw to value added data), information products and services. Focus is on atmospheric trace gases, aerosols, dynamics, radiation, and cloud physical parameters. Complementary information and data on surface parameters (e.g. vegetation index, surface temperatures) is also provided. This is achieved either by giving access to data stored at the data center or by acting as a portal containing links to other providers.
The Met Office is the UK's National Weather Service. We have a long history of weather forecasting and have been working in the area of climate change for more than two decades. As a world leader in providing weather and climate services, we employ more than 1,800 at 60 locations throughout the world. We are recognised as one of the world's most accurate forecasters, using more than 10 million weather observations a day, an advanced atmospheric model and a high performance supercomputer to create 3,000 tailored forecasts and briefings a day. These are delivered to a huge range of customers from the Government, to businesses, the general public, armed forces, and other organisations.
The Arctic Data Center is the primary data and software repository for the Arctic section of NSF Polar Programs. The Center helps the research community to reproducibly preserve and discover all products of NSF-funded research in the Arctic, including data, metadata, software, documents, and provenance that links these together. The repository is open to contributions from NSF Arctic investigators, and data are released under an open license (CC-BY, CC0, depending on the choice of the contributor). All science, engineering, and education research supported by the NSF Arctic research program are included, such as Natural Sciences (Geoscience, Earth Science, Oceanography, Ecology, Atmospheric Science, Biology, etc.) and Social Sciences (Archeology, Anthropology, Social Science, etc.). Key to the initiative is the partnership between NCEAS at UC Santa Barbara, DataONE, and NOAA’s NCEI, each of which bring critical capabilities to the Center. Infrastructure from the successful NSF-sponsored DataONE federation of data repositories enables data replication to NCEI, providing both offsite and institutional diversity that are critical to long term preservation.
DLESE is the Digital Library for Earth System Education, a geoscience community resource that supports teaching and learning about the Earth system. It is funded by the National Science Foundation and is being built by a community of educators, students, and scientists to support Earth system education at all levels and in both formal and informal settings. Resources in DLESE include lesson plans, scientific data, visualizations, interactive computer models, and virtual field trips - in short, any web-accessible teaching or learning material. Many of these resources are organized in collections, or groups of related resources that reflect a coherent, focused theme. In many ways, digital collections are analogous to collections in traditional bricks-and-mortar libraries.
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Applying the Terrestrial Systems Modeling Platform, TerrSysMP, this dataset consists of the first simulated long-term (1989-2018), high-resolution (~12.5km) terrestrial system climatology over Europe, which comprises variables from groundwater across the land surface to the top of atmosphere (G2A). This data set constitutes a near-natural realization of the European terrestrial system, which cannot be obtained from observations, and can, thus, serve as a reference for global change simulations including human water use and climate change.