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The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.
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This repository is a data publication platform for members of the Faculty of Physics at the LMU Munich and is designed to hold very large datasets. The repository is a collaboration between the Faculty of Physics, the University Library of LMU, and the Leibniz Supercomputing Centre (LRZ). Data publications follow the FAIR principles, including the assignment of DOIs via DataCite.
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Attention! Data sets are not updated anymore. Please, visit the BonaRes Repositor​ium​ for new datasets. Open Research Data provides quality assessed data and their metadata such as context information on measurement objectives, equipment, methods, testing and investigation areas. The purpose of the repository is to secure quality, integrity and long-term availability of landscape and ecosystem research data as well as to enhance accessibility of free data from ZALF long-term monitoring campaigns, landscape laboratories (Agro-ScapeLabs), field trials and experiments. The Leibniz Centre for Agricultural Landscape Research (ZALF) explores ecosystems in agricultural landscapes and the development of ecologically and economically viable land use systems. ZALF combines scientific expertise from agricultural science, geosciences, biosciences and socio-economics.
Apollo (previously DSpace@Cambridge) is the University of Cambridge’s Institutional Repository (IR), preserving and providing access to content created by members of the University. The repository stores a range of content and provides different levels of access, but its primary focus is on providing open access to the University’s research publications.
The purpose of the Virginia Tech Data Repository is to highlight, preserve, and provide access to research products (e.g. datasets) of the Virginia Tech community, and in doing so help to disseminate the intellectual output of the university in its land-grant mission. The Virginia Tech Data Repository and Virginia Tech serve the Commonwealth of Virginia, the nation, and the world’s community through the discovery and dissemination of new knowledge.
ERIC/open is the institutional repository where Eawag scientists publish their research data. Research data is organized in Packages which contain one or more Resources. Resources are usually files containing research data proper or ancillary information such as a README-file. A URL pointing to external information might also constitute a Resource.