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- Institutional Repository Germany Compatibility:Not yet registeredPartners:Landesbibliothek OldenburgLandesbibliothek OldenburgAll Research products
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re3data: r3d100011872
LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.
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The German Marine Research Alliance (DAM) aims to strengthen the sustainable use of the coasts, seas and oceans through research, data management and digitalisation, infrastructure and transfer. The DAM Marine Data Portal provides an entry point for the data associated with this project.
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For further information contact us at helpdesk@openaire.eu - Data Repository Denmark, Germany Compatibility:Not yet registeredPartners:GBIF, Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT-Zentrum, German Federation for Biological Data Life Sciences, Plant Sciences, ZoologyGBIF,Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT-Zentrum,German Federation for Biological Data
re3data: r3d100012934
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The German epigenome programme ‘DEEP’ (2012 – 2017) is an interdisciplinary research network. DEEP will contribute innovative epigenome research data to IHEC, the ‘International Human Epigenome Consortium’ by generating and interpreting up to 80 reference epigenomes of selected human cells and tissues. DEEP focuses on the analysis of cells connected to complex diseases with high socio-economic impact: metabolic diseases such as steatosis and adipositas as well as inflammatory diseases of the joints and the intestine. DEEPs goal is to generate high end data for comprehensive biomedical interpretation of healthy and diseased cells. With this DEEP will contribute to discover new functional epigenetic links useful for clinical diagnosis, therapy and health risk prevention. All data generated will be made publically available and will be integrated into a sustainable world wide data structure comprised by the IHEC initiative.
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This site provides access to the research outputs of the Heinrich-Heine-University Dusseldorf. Users may set up RSS feeds to be alerted to new content. The interface is available in English and German.
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For further information contact us at helpdesk@openaire.eu - Data Repository Germany, Netherlands Compatibility:Not yet registeredPartners:University of Tübingen, Eberhard Karls Universität Tübingen, Philosophische Fakultät, Seminar für Sprachwissenschaft, CLARIN-D, CLARIN, Text+ Humanities and Social Sciences, Linguistics, HumanitiesUniversity of Tübingen,Eberhard Karls Universität Tübingen, Philosophische Fakultät, Seminar für Sprachwissenschaft,CLARIN-D,CLARIN,Text+
re3data: r3d100010152
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re3data: r3d100010156
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- Institutional Repository Germany Compatibility:Not yet registeredPartners:Landesbibliothek OldenburgLandesbibliothek OldenburgAll Research products
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re3data: r3d100011872
LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.
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re3data: r3d100011470
The German Marine Research Alliance (DAM) aims to strengthen the sustainable use of the coasts, seas and oceans through research, data management and digitalisation, infrastructure and transfer. The DAM Marine Data Portal provides an entry point for the data associated with this project.
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For further information contact us at helpdesk@openaire.eu - Data Repository Denmark, Germany Compatibility:Not yet registeredPartners:GBIF, Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT-Zentrum, German Federation for Biological Data Life Sciences, Plant Sciences, ZoologyGBIF,Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB IT-Zentrum,German Federation for Biological Data
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The German epigenome programme ‘DEEP’ (2012 – 2017) is an interdisciplinary research network. DEEP will contribute innovative epigenome research data to IHEC, the ‘International Human Epigenome Consortium’ by generating and interpreting up to 80 reference epigenomes of selected human cells and tissues. DEEP focuses on the analysis of cells connected to complex diseases with high socio-economic impact: metabolic diseases such as steatosis and adipositas as well as inflammatory diseases of the joints and the intestine. DEEPs goal is to generate high end data for comprehensive biomedical interpretation of healthy and diseased cells. With this DEEP will contribute to discover new functional epigenetic links useful for clinical diagnosis, therapy and health risk prevention. All data generated will be made publically available and will be integrated into a sustainable world wide data structure comprised by the IHEC initiative.
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For further information contact us at helpdesk@openaire.eu - Data Repository Germany, Netherlands Compatibility:Not yet registeredPartners:University of Tübingen, Eberhard Karls Universität Tübingen, Philosophische Fakultät, Seminar für Sprachwissenschaft, CLARIN-D, CLARIN, Text+ Humanities and Social Sciences, Linguistics, HumanitiesUniversity of Tübingen,Eberhard Karls Universität Tübingen, Philosophische Fakultät, Seminar für Sprachwissenschaft,CLARIN-D,CLARIN,Text+
re3data: r3d100010152
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