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Found 5 result(s)
Country
HISTAT (Historical Statistics)provides data from studies of population, economic and social history as well as the historical Statistics under a single user interface to be made available online. HISTAT offers a variety of time series, Historical Statistics primarily from Germany, partly down to the 16 . century; the database is structured theme-and study-oriented. Studies are listed by subject area and can be individually selected. using an alphabetical list of authors of individual studies can also be selected. Moreover, a study on cross Keyword is offered. HISTAT provides information and research opportunities to both study level as well as at time series level. It offered a thesaurus-based meta-search for words, authors and studies in the study descriptions, the data (time series definitions) and the sources.
Country
Since 2004, the GFZ German Research Centre for Geosciences assigns Digital Object Identifiers (DOI) to datasets. These datasets are archived by and published through GFZ Data Services and cover all geoscientific disciplines. They range from large dynamic datasets deriving from data intensive global monitoring networks with real-time data acquisition to the full suite of highly variable datasets collected by individual researchers or small teams. These highly variable data (‘long-tail data’) are small in size, but represent an important part of the total scientific output.
Country
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.
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OpenAgrar publication server now also features research data. Creators support further development as claimed on the Open-Access Days 2017 (Dresden, Germany)