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  • NODE (The National Omics Data Encyclopedia) provides an integrated, compatible, comparable, and scalable multi-omics resource platform that supports flexible data management and effective data release. NODE uses a hierarchical data architecture to support storage of muti-omics data including sequencing data, MS based proteomics data, MS or NMR based metabolomics data, and fluorescence imaging data. Launched in early 2017, NODE has collected and published over 900 terabytes of omics data for researchers from China and all over the world in last three years, 22% of which contains multiple omics data. NODE provides functions around the whole life cycle of omics data, from data archive, data requests/responses to data sharing, data analysis, data review and publish.

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  • This site provides access to the output of the institution. Users may set up RSS feeds to be alerted to new content. The interface is in English.

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  • The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.

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  • The Eurac Research CLARIN Centre (ERCC) is a dedicated repository for language data. It is hosted by the Institute for Applied Linguistics (IAL) at Eurac Research, a private research centre based in Bolzano, South Tyrol, Italy. The Centre is part of the Europe-wide CLARIN infrastructure, which means that it follows well-defined international standards for (meta)data and procedures and is well-embedded in the wider European Linguistics infrastructure. The repository hosts data collected at the IAL, but is also open for data deposits from external collaborators.

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  • searchRxiv enables researchers to: post their searches, ensuring credit for all those involved; obtain a digital object identifier (DOI) for their search, enabling it to be cited; link searches to published articles as relevant; find it easier to follow best practice for structuring their search strategy; and easily find relevant searches in their subject area by searching across search strings as well as metadata describing those search strings.

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7,010 Data sources
  • NODE (The National Omics Data Encyclopedia) provides an integrated, compatible, comparable, and scalable multi-omics resource platform that supports flexible data management and effective data release. NODE uses a hierarchical data architecture to support storage of muti-omics data including sequencing data, MS based proteomics data, MS or NMR based metabolomics data, and fluorescence imaging data. Launched in early 2017, NODE has collected and published over 900 terabytes of omics data for researchers from China and all over the world in last three years, 22% of which contains multiple omics data. NODE provides functions around the whole life cycle of omics data, from data archive, data requests/responses to data sharing, data analysis, data review and publish.

    more_vert
  • This site provides access to the output of the institution. Users may set up RSS feeds to be alerted to new content. The interface is in English.

    more_vert
  • The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website in plain text files.

    more_vert
  • more_vert
  • The Eurac Research CLARIN Centre (ERCC) is a dedicated repository for language data. It is hosted by the Institute for Applied Linguistics (IAL) at Eurac Research, a private research centre based in Bolzano, South Tyrol, Italy. The Centre is part of the Europe-wide CLARIN infrastructure, which means that it follows well-defined international standards for (meta)data and procedures and is well-embedded in the wider European Linguistics infrastructure. The repository hosts data collected at the IAL, but is also open for data deposits from external collaborators.

    more_vert
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  • searchRxiv enables researchers to: post their searches, ensuring credit for all those involved; obtain a digital object identifier (DOI) for their search, enabling it to be cited; link searches to published articles as relevant; find it easier to follow best practice for structuring their search strategy; and easily find relevant searches in their subject area by searching across search strings as well as metadata describing those search strings.

    more_vert
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  • 6
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