- GB
- SE
- Thematic: No
- GB
- SE
- Thematic: No
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re3data: r3d100010499
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re3data: r3d100010591
Genetic, genomic and molecular information pertaining to the model organism Drosophila melanogaster and related sequences. This database also contains information relating to human disease models in Drosophila, the use of transgenic constructs containing sequence from other organisms in Drosophila, and information on where to buy Drosophila strains and constructs.
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re3data: r3d100011965
A lightweight digital repository for data based on the concepts of collections of filesets and the relationships between them. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in.
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re3data: r3d100010906
The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.
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PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.
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The International Standard Name Identifier (ISNI) Database is used to uniquely identify persons and organizations worldwide. ISNIs are assigned when there is a high level of confidence in matching new names to existing names in the database or when sufficiently rich metadata is available to determine that the new name does not yet exist in the ISNI database.
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- Institutional Repository United Kingdom Compatibility:OpenAIRE 2.0+ (DRIVER OA, EC funding)Partners:University of Bath MultidisciplinaryUniversity of BathOAI-PMH URL: https://purehost.bath.ac.uk/ws/oai
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re3data: r3d100010499
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re3data: r3d100010591
Genetic, genomic and molecular information pertaining to the model organism Drosophila melanogaster and related sequences. This database also contains information relating to human disease models in Drosophila, the use of transgenic constructs containing sequence from other organisms in Drosophila, and information on where to buy Drosophila strains and constructs.
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re3data: r3d100011965
A lightweight digital repository for data based on the concepts of collections of filesets and the relationships between them. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles. Browsing and data deposition are available only when logged in.
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re3data: r3d100010906
The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to the International Arabidopsis Genome Programme and the wider research community.
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PDBe-KB (Protein Data Bank in Europe - Knowledge Base) is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams. The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research.
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The International Standard Name Identifier (ISNI) Database is used to uniquely identify persons and organizations worldwide. ISNIs are assigned when there is a high level of confidence in matching new names to existing names in the database or when sufficiently rich metadata is available to determine that the new name does not yet exist in the ISNI database.
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