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  • This site is an institutional repository for the European Organization for Nuclear Research (CERN). The site is well supported with a vast range of guidance documentation for academics and researchers wishing to constitute materials.

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  • The Swiss National Data and Service Center for the Humanities (DaSCH) digital repository allows long-term access to qualitative data in the Humanities, and provides data deposition and discovery facilities. DaSCH has been created in accordance with the FAIR principles and various international standards for interoperability. The repository accepts “simple” datasets in form of flat files as well as a project-specific “complex” datasets with data based on project/user-specific data models. Multiple data types are allowed, including qualitative data such as text, images, digital facsimile, sound files, and videos.

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  • Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.

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  • This is the institutional repository of Bern University. The interface is available in German, English and French.

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  • NORMAN SusDat is a compilation of information provided by NORMAN network members and has merged many chemical lists provided to the NORMAN Suspect List Exchange (NORMAN-SLE) into a common format and includes selected identifiers and predicted values as a service for NORMAN members. NORMAN-SLE, established in 2015 as a central access point for NORMAN members (and others) to find suspect lists relevant for their environmental monitoring question, is a part of this resource.

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  • Online materials database (a.k.a. PAULING FILE project) with more than 2 million entries: physical properties, crystal structures, phase diagrams, available via API, ready for the modern data-intensive applications.

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967 Data sources
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  • This site is an institutional repository for the European Organization for Nuclear Research (CERN). The site is well supported with a vast range of guidance documentation for academics and researchers wishing to constitute materials.

    more_vert
  • more_vert
  • The Swiss National Data and Service Center for the Humanities (DaSCH) digital repository allows long-term access to qualitative data in the Humanities, and provides data deposition and discovery facilities. DaSCH has been created in accordance with the FAIR principles and various international standards for interoperability. The repository accepts “simple” datasets in form of flat files as well as a project-specific “complex” datasets with data based on project/user-specific data models. Multiple data types are allowed, including qualitative data such as text, images, digital facsimile, sound files, and videos.

    more_vert
  • Mycobrowser is a resource that provides both in silico generated and manually reviewed information within databases dedicated to the complete genomes of Mycobacterium tuberculosis, Mycobacterium leprae, Mycobacterium marinum and Mycobacterium smegmatis. This collection references Mycobacteria leprae information.

    more_vert
  • This is the institutional repository of Bern University. The interface is available in German, English and French.

    more_vert
  • NORMAN SusDat is a compilation of information provided by NORMAN network members and has merged many chemical lists provided to the NORMAN Suspect List Exchange (NORMAN-SLE) into a common format and includes selected identifiers and predicted values as a service for NORMAN members. NORMAN-SLE, established in 2015 as a central access point for NORMAN members (and others) to find suspect lists relevant for their environmental monitoring question, is a part of this resource.

    more_vert
  • more_vert
  • more_vert
  • Online materials database (a.k.a. PAULING FILE project) with more than 2 million entries: physical properties, crystal structures, phase diagrams, available via API, ready for the modern data-intensive applications.

    more_vert