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8,212 Data sources

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  • Neuroimaging Informatics Tools and Resources Collaboratory Resources Registry (NITRC-R) describes software tools and resources, vocabularies, test data, and databases. It is intended to extend the impact and longevity of previously funded neuroimaging informatics contributions. NITRC-R gives researchers access to tools and resources, categorization and organization of existing tools and resources, facilitation of interactions between researchers and developers, and promotion of best practices through enhanced documentation and tutorials. NITRC’s scientific focus includes: MR, PET/SPECT, CT, EEG/MEG, optical imaging, clinical neuroimaging, computational neuroscience, and imaging genomics software tools, data, and computational resources.

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  • The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.

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  • MetaSRA is a database of normalized SRA human sample-specific metadata following a schema inspired by the metadata organization of the ENCODE project. This schema involves mapping samples to terms in biomedical ontologies, labeling each sample with a sample-type category, and extracting real-valued properties.

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  • A cross-index and virtual repository of mathematical and statistical software components of use in computational science and engineering.

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  • The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.

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  • This site provides access to research output from the following three organisations based in Plymouth: The Marine Biological Association (MBA), Plymouth Marine Laboratory (PML) and the Sir Alister Hardy Foundation for Ocean Science (SAHFOS). The interface is available in English.

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  • The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.

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  • The Open Data Commons for Traumatic Brain Injury (DC-TBI) was created by the TBI community to mitigate dark data in TBI research. The ODC-TBI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-TBI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-TBI community and make their datasets public and citable. The ODC-TBI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international TBI research community.

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8,212 Data sources
  • Neuroimaging Informatics Tools and Resources Collaboratory Resources Registry (NITRC-R) describes software tools and resources, vocabularies, test data, and databases. It is intended to extend the impact and longevity of previously funded neuroimaging informatics contributions. NITRC-R gives researchers access to tools and resources, categorization and organization of existing tools and resources, facilitation of interactions between researchers and developers, and promotion of best practices through enhanced documentation and tutorials. NITRC’s scientific focus includes: MR, PET/SPECT, CT, EEG/MEG, optical imaging, clinical neuroimaging, computational neuroscience, and imaging genomics software tools, data, and computational resources.

    more_vert
  • The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB) focuses on eukaryotic pathogens and invertebrate vectors of infectious diseases, , encompassing data from prior resources devoted to parasitic species (EuPathDB), fungi (FungiDB) and vector species (VectorBase). While each of the taxonomic groups within this resource is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera.

    more_vert
  • MetaSRA is a database of normalized SRA human sample-specific metadata following a schema inspired by the metadata organization of the ENCODE project. This schema involves mapping samples to terms in biomedical ontologies, labeling each sample with a sample-type category, and extracting real-valued properties.

    more_vert
  • A cross-index and virtual repository of mathematical and statistical software components of use in computational science and engineering.

    more_vert
  • more_vert
  • The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination.

    more_vert
  • more_vert
  • This site provides access to research output from the following three organisations based in Plymouth: The Marine Biological Association (MBA), Plymouth Marine Laboratory (PML) and the Sir Alister Hardy Foundation for Ocean Science (SAHFOS). The interface is available in English.

    more_vert
  • The PIR SuperFamily concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships.

    more_vert
  • The Open Data Commons for Traumatic Brain Injury (DC-TBI) was created by the TBI community to mitigate dark data in TBI research. The ODC-TBI also aims to increase transparency with individual-level data, enhance collaboration, facilitate advanced analytics, and conform to increasing mandates by funders and publishers to make data accessible. Members of the ODC-TBI have access to a private digital lab space managed by the PI or multi-PIs for dataset storage and sharing. The PIs can share their labs’ datasets with the registered members of the ODC-TBI community and make their datasets public and citable. The ODC-TBI implements stewardship principles that scientific data be made FAIR (Findable, Accessible, Interoperable and Reusable) and has been widely adopted by the international TBI research community.

    more_vert