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- Data Repository France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:HN Humanities and Social SciencesHNOAI-PMH URL: https://api.nakala.fr/oai2All Research products
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OAI-PMH URL: https://oai.datacite.org/oaiSTRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing.
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For further information contact us at helpdesk@openaire.eu - Data Repository Germany Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:Universität Kassel, Universitätsbibliothek, Universität Kassel, IT Servicezentrum, Philipps-University of Marburg, University of Kassel Humanities and Social Sciences, Life Sciences, Agriculture, Forestry, Horticulture and Veterinary MedicineUniversität Kassel, Universitätsbibliothek,Universität Kassel, IT Servicezentrum,Philipps-University of Marburg,University of KasselOAI-PMH URL: https://daks.uni-kassel.de/oai/openaire
DaKS is the institutional repository of the University of Kassel for research data. It offers structured storage of research data alongside with descriptive metadata, long-term archiving for at least 10 years and – if requested – the publication of the dataset with a DOI. DaKS is managed by the university library and the IT Service Centre of the University of Kassel. It is hosted at Philipps-Universität Marburg.
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For further information contact us at helpdesk@openaire.eu - Data Repository Poland, European Union Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:Politechnika Białostocka, Instytut Nauk Leśnych, Polish Academy of Sciences, Mammal Research Institute, European Commission, Operational Programme Digital Poland 2014-2020, BIAMAN Life Sciences, Biology, Agriculture, Forestry, Horticulture and Veterinary MedicinePolitechnika Białostocka, Instytut Nauk Leśnych,Polish Academy of Sciences, Mammal Research Institute,European Commission, Operational Programme Digital Poland 2014-2020,BIAMANOAI-PMH URL: https://dataverse.openforestdata.pl/oai
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The ESCAPE Open-source Scientific Software and Service Repository (OSSR) is a sustainable open-access repository to share scientific software, services and datasets to the astro-particle-physics-related communities and enable open science. It is built as a curated Zenodo community (https://zenodo.org/communities/escape2020) integrated with several tools to enable a complete software life-cycle. The ESCAPE Zenodo community welcomes entries that support the software and service projects in the OSSR such as user-support documentation, tutorials, presentations and training activities. It also encourages the archival of documents and material that disseminate and support the goals of ESCAPE.
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OAI-PMH URL: https://repository.surfsara.nl/api/oai2The SURF Data Repository is a user-friendly web-based data publication platform that allows researchers to store, annotate and publish research datasets of any size to ensure long-term preservation and availability of their data. The service allows any data set to be stored, independent of volume, number of files and structure. A published data set is enriched with complex metadata, unique identifiers are added and the data is preserved for an agreed-upon period of time. The service is domain-agnostic and supports multiple communities with different policy and metadata requirements.
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For further information contact us at helpdesk@openaire.eu - Data Repository Germany, France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:DKRZ, ICSU Natural Sciences, Geosciences (including Geography), Atmospheric ScienceDKRZ,ICSU
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OAI-PMH URL: https://dmoai.cloud.dkrz.de/oai/providerDisciplinary long-term archive for climate and earth system science data
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For further information contact us at helpdesk@openaire.eu - Data Repository Poland Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:University of Warsaw, Robert Zajonc Institute for Social Studies, Polish Academy of Sciences, Institute of Philosophy and Sociology, University of Warsaw, Interdisciplinary Centre for Mathematical and Computational Modelling Humanities and Social Sciences, Social Sciences, Social and Behavioural SciencesUniversity of Warsaw, Robert Zajonc Institute for Social Studies,Polish Academy of Sciences, Institute of Philosophy and Sociology,University of Warsaw, Interdisciplinary Centre for Mathematical and Computational ModellingOAI-PMH URL: https://rds.icm.edu.pl/oai
The purpose of the Social Data Repository (RDS) is to make available in the Internet social data, consisting of data sets and accompanying technical or methodological documentation. The repository is open for everyone. It is operated by the University of Warsaw (Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw). Individual collections in the Social Data Repository are subject to editorial review by University of Warsaw or collection administrators, under separate rules for a given collection. In particular, the supervising editor for the collection “Archive of Quantitative Social Data” is the Team of the Archive of Quantitative Social Data.
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re3data: r3d100012329
OAI-PMH URL: https://oai.datacite.org/oaiSTRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing.
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For further information contact us at helpdesk@openaire.eu - Data Repository Germany Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:Universität Kassel, Universitätsbibliothek, Universität Kassel, IT Servicezentrum, Philipps-University of Marburg, University of Kassel Humanities and Social Sciences, Life Sciences, Agriculture, Forestry, Horticulture and Veterinary MedicineUniversität Kassel, Universitätsbibliothek,Universität Kassel, IT Servicezentrum,Philipps-University of Marburg,University of KasselOAI-PMH URL: https://daks.uni-kassel.de/oai/openaire
DaKS is the institutional repository of the University of Kassel for research data. It offers structured storage of research data alongside with descriptive metadata, long-term archiving for at least 10 years and – if requested – the publication of the dataset with a DOI. DaKS is managed by the university library and the IT Service Centre of the University of Kassel. It is hosted at Philipps-Universität Marburg.
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For further information contact us at helpdesk@openaire.eu - Data Repository Poland, European Union Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:Politechnika Białostocka, Instytut Nauk Leśnych, Polish Academy of Sciences, Mammal Research Institute, European Commission, Operational Programme Digital Poland 2014-2020, BIAMAN Life Sciences, Biology, Agriculture, Forestry, Horticulture and Veterinary MedicinePolitechnika Białostocka, Instytut Nauk Leśnych,Polish Academy of Sciences, Mammal Research Institute,European Commission, Operational Programme Digital Poland 2014-2020,BIAMANOAI-PMH URL: https://dataverse.openforestdata.pl/oai
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The ESCAPE Open-source Scientific Software and Service Repository (OSSR) is a sustainable open-access repository to share scientific software, services and datasets to the astro-particle-physics-related communities and enable open science. It is built as a curated Zenodo community (https://zenodo.org/communities/escape2020) integrated with several tools to enable a complete software life-cycle. The ESCAPE Zenodo community welcomes entries that support the software and service projects in the OSSR such as user-support documentation, tutorials, presentations and training activities. It also encourages the archival of documents and material that disseminate and support the goals of ESCAPE.
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For further information contact us at helpdesk@openaire.eu - Data Repository Netherlands Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:SURF Geophysics, Astrophysics and Astronomy, CosmologySURF
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OAI-PMH URL: https://repository.surfsara.nl/api/oai2The SURF Data Repository is a user-friendly web-based data publication platform that allows researchers to store, annotate and publish research datasets of any size to ensure long-term preservation and availability of their data. The service allows any data set to be stored, independent of volume, number of files and structure. A published data set is enriched with complex metadata, unique identifiers are added and the data is preserved for an agreed-upon period of time. The service is domain-agnostic and supports multiple communities with different policy and metadata requirements.
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For further information contact us at helpdesk@openaire.eu - Data Repository Germany, France Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:DKRZ, ICSU Natural Sciences, Geosciences (including Geography), Atmospheric ScienceDKRZ,ICSU
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OAI-PMH URL: https://dmoai.cloud.dkrz.de/oai/providerDisciplinary long-term archive for climate and earth system science data
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For further information contact us at helpdesk@openaire.eu - Data Repository Poland Compatibility:OpenAIRE Data (funded, referenced datasets)Partners:University of Warsaw, Robert Zajonc Institute for Social Studies, Polish Academy of Sciences, Institute of Philosophy and Sociology, University of Warsaw, Interdisciplinary Centre for Mathematical and Computational Modelling Humanities and Social Sciences, Social Sciences, Social and Behavioural SciencesUniversity of Warsaw, Robert Zajonc Institute for Social Studies,Polish Academy of Sciences, Institute of Philosophy and Sociology,University of Warsaw, Interdisciplinary Centre for Mathematical and Computational ModellingOAI-PMH URL: https://rds.icm.edu.pl/oai
The purpose of the Social Data Repository (RDS) is to make available in the Internet social data, consisting of data sets and accompanying technical or methodological documentation. The repository is open for everyone. It is operated by the University of Warsaw (Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw). Individual collections in the Social Data Repository are subject to editorial review by University of Warsaw or collection administrators, under separate rules for a given collection. In particular, the supervising editor for the collection “Archive of Quantitative Social Data” is the Team of the Archive of Quantitative Social Data.
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