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Found 12 result(s)
By stimulating inspiring research and producing innovative tools, Huygens ING intends to open up old and inaccessible sources, and to understand them better. Huygens ING’s focus is on Digital Humanities, History, History of Science, and Textual Scholarship. Huygens ING pursues research in the fields of History, Literary Studies, the History of Science and Digital Humanities. Huygens ING aims to publish digital sources and data responsibly and with care. Innovative tools are made as widely available as possible. We strive to share the available knowledge at the institute with both academic peers and the wider public.
OSTI is the DOE office that collects, preserves, and disseminates DOE-sponsored R&D results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions. The information is typically in the form of technical documents, conference papers, articles, multimedia, and software, collectively referred to as scientific and technical information (STI).
A consolidated feed from 35 million instruments provides sophisticated normalized data, streamlining analysis and decisions from front office to operations. And with flexible delivery options including cloud and API, timely accurate data enables the enterprise to capture opportunities, evaluate risk and ensure compliance in fast-moving markets.
The OFA databases are core to the organization’s objective of establishing control programs to lower the incidence of inherited disease. Responsible breeders have an inherent responsibility to breed healthy dogs. The OFA databases serve all breeds of dogs and cats, and provide breeders a means to respond to the challenge of improving the genetic health of their breed through better breeding practices. The testing methodology and the criteria for evaluating the test results for each database were independently established by veterinary scientists from their respective specialty areas, and the standards used are generally accepted throughout the world.
Country
The German Youth Institute is a leading non-university research institute. Since 1988, empirical studies about the growing up of children and young people and to life situations of adults and families were regularly conducted. The Research Data Centre is part of the department "Social Monitoring." It processes the data and provides data access for secondary analysis.
Country
Institutional research data repository of Riga Technical University (RTU). The aim is to collect and store scientific research data and other relevant information in all fields of knowledge of RTU, enabling free, easy and convenient access to it.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
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Welcome to the digital flora of Panama. You may access the taxonomic list of lianas, common trees, shrubs and palms by species name, family, or by their common names in Panama. There are for each species: a botanical description, photos, scans, drawings, and a distribution map showing its presence or absence in a series of floristic inventories and plots established by the Center for Tropical Forest Science in the Panama Canal watershed. A map of its distribution in the countries of Panama and its neighbor Costa Rica includes data from the Global Biodiversity Information Facility (GBIF) network (https://www.gbif.org/). Some families include descriptions.
<<<!!!<<< The demand for high-value environmental data and information has dramatically increased in recent years. To improve our ability to meet that demand, NOAA’s former three data centers—the National Climatic Data Center, the National Geophysical Data Center, and the National Oceanographic Data Center, which includes the National Coastal Data Development Center—have merged into the National Centers for Environmental Information (NCEI). >>>!!!>>> NCEI is responsible for hosting and providing access to one of the most significant archives on Earth, with comprehensive oceanic, atmospheric, and geophysical data. From the depths of the ocean to the surface of the sun and from million-year-old sediment records to near real-time satellite images, NCEI is the Nation's leading authority for environmental information. The National Centers for Environmental Information (NCEI), which hosts the World Data Service for Oceanography is a national environmental data center operated by the National Oceanic and Atmospheric Administration (NOAA) of the U.S. Department of Commerce. NCEI are responsible for hosting and providing access to one of the most significant archives on earth, with comprehensive oceanic, atmospheric, and geophysical data. The primary mission of the World Data Service for Oceanography is to ensure that global oceanographic datasets collected at great cost are maintained in a permanent archive that is easily and openly accessible to the world science community and to other users.
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<<<!!!<< With the implementation of GlyTouCan (https://glytoucan.org/) the mission of GlycomeDB comes to an end. >>>!!!>>> With the new database, GlycomeDB, it is possible to get an overview of all carbohydrate structures in the different databases and to crosslink common structures in the different databases. Scientists are now able to search for a particular structure in the meta database and get information about the occurrence of this structure in the five carbohydrate structure databases.