search
  • Country
    Clear
  • Compatibility Level
    Clear
  • Type
  • Thematic
  • Jurisdiction

  • DE
  • NL
  • IT
  • US
  • SG
  • OpenAIRE Data (funded, referenced d...

  • 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
  • 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
  • As a research data hub for social and economic history, Emporion offers a platform for the publication, indexing, and long-term storage of time series, historical statistical and panel data, georeferenced vector data, and text mining analysis results, as well as data papers describing them, in accordance with the FAIR Guiding Principles for Scientific Data Management and Stewardship. Emporion is also open to contributions from the fields of corporate and environmental history and the history of technology.

    more_vert
  • more_vert
  • more_vert
  • DR-NTU (Data) is an institutional research data repository of Nanyang Technological University (NTU), Singapore. The repository has a mission to curate, store, preserve, make available and enable the download of digital data generated by the NTU research community in various disciplines. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

    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
  • 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
  • more_vert
  • 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.

    more_vert
  • chevron_left
  • 2
  • 3
  • 4
  • 5
  • chevron_right
46 Data sources
  • 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
  • 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
  • As a research data hub for social and economic history, Emporion offers a platform for the publication, indexing, and long-term storage of time series, historical statistical and panel data, georeferenced vector data, and text mining analysis results, as well as data papers describing them, in accordance with the FAIR Guiding Principles for Scientific Data Management and Stewardship. Emporion is also open to contributions from the fields of corporate and environmental history and the history of technology.

    more_vert
  • more_vert
  • more_vert
  • DR-NTU (Data) is an institutional research data repository of Nanyang Technological University (NTU), Singapore. The repository has a mission to curate, store, preserve, make available and enable the download of digital data generated by the NTU research community in various disciplines. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

    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
  • 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
  • more_vert
  • 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.

    more_vert
  • chevron_left
  • 2
  • 3
  • 4
  • 5
  • chevron_right