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  • STRENDA 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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  • This site provides access to linguistic datasets and tools. The interface is available in English, however the content is available in a variety of languages. It contains data for literary and linguistic research. The interface is in English and includes RSS feeds to alert users of new content.

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  • DANS Data Station Physical and Technical Sciences

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  • Resarch Data Repository of Hamburg University of Technology

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  • The 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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  • data_UMR is the institutional repository of the University of Marburg for research data of all kinds that has been generated in the context of research activities at the University of Marburg.

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  • The Research Software Directory is a registry for research software across all disciplines. It is available as a free online service to share research software, make it more visible and discoverable and show its academic and societal impact.

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46 Data sources
  • STRENDA 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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  • This site provides access to linguistic datasets and tools. The interface is available in English, however the content is available in a variety of languages. It contains data for literary and linguistic research. The interface is in English and includes RSS feeds to alert users of new content.

    more_vert
  • DANS Data Station Physical and Technical Sciences

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  • Resarch Data Repository of Hamburg University of Technology

    more_vert
  • more_vert
  • more_vert
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  • The 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.

    more_vert
  • data_UMR is the institutional repository of the University of Marburg for research data of all kinds that has been generated in the context of research activities at the University of Marburg.

    more_vert
  • The Research Software Directory is a registry for research software across all disciplines. It is available as a free online service to share research software, make it more visible and discoverable and show its academic and societal impact.

    more_vert