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Found 34 result(s)
Content type(s)
Country
Rīga Stradiņš University (RSU) Dataverse is created for RSU researchers to deposit their data there after the end of research projects or other research activities, especially in cases when there are no trusted field specific repositories.
Country
DUGiDocs is the institutional repository of the Universitat de Girona. Its aim is to preserve, spread and make visible the intellectual production issued from research and teaching lead at the UdG, such as degree final reports, master reports and doctorate research reports by university students as well as articles in scientific periodicals. Moreover it includes indexing and content description tools, makes visualization from many other internet sites easier (interoperability) and it also includes open access.
Country
The INAH Media Library is the open access repository of the National Institute of Anthropology and History of Mexico. Its objective is to preserve and make accessible the digital representation of the historical and cultural heritage under its custody, as well as the scientific knowledge it generates through its education and research centres.
Country
FULIR Data is a research data repository that gathers, permanently stores and allows open access to primary data produced by researchers based at Ruđer Bošković Institute. Researchers deposit datasets by themselves (self-archiving) with the support given by the Centre for Scientific Information and their RDM experts.
Country
The URV's institutional repository is a deposit of digital documents that contains the teaching and research output of the members of the URV university community: for example, articles that have not yet been published (preprints), published articles (postprints), research data, end-of-degree projects, bachelor's degree theses, doctoral theses, teaching material and other documents that may be useful for generating knowledge. It is available to all the institutions that are part of the Campus of International Excellence Southern Catalonia and who wish to use it in cooperation with others.
Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood. The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).