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  • The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.

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  • This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.

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  • LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.

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  • SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.

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1,176 Data sources
  • The BonaRes Repository stores soil and agricultural research data from research projects and long-term field experiments which contribute significantly to the analysis of changes of soil and soil functions over the long term. Research data are described by the metadata following the BonaRes Metadata Schema (DOI: 10.20387/bonares-5pgg-8yrp) which combines international recognized standards for the description of geospatial data and research data. Metadata includes AGROVOC keywords.

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  • This repository is currently limited to preprints related to the Beilstein Journal of Nanotechnology and the Beilstein Journal of Organic Chemistry. All preprints are posted with a CC-BY 4.0 license.

    more_vert
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  • LIAS is a global information system for Lichenized and Non-Lichenized Ascomycetes. It includes several interoperable data repositories. In recent years, the two core components ‘LIAS names’ and ‘LIAS light’ have been enlarged. LIAS light stores phenotypic trait data. The component ‘LIAS names’ is a platform for managing taxonomic names and classifications. 'LIAS names' and ‘LIAS light’ also deliver content data to the Catalogue of Life, acting as the Global Species Database (GSD) for lichens. LIAS gtm is a database for visualising the geographic distribution of lichen traits. LIAS is powered by the Diversity Workbench database framework with several interfaces for data management and publication.

    more_vert
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  • SMART (Simple Modular Architecture Research Tool) is a web resource providing simple identification and extensive annotation of protein domains and the exploration of protein domain architectures. It allows the identification and annotation of genetically mobile domains and the analysis of domain architectures. More than 500 domain families found in signalling, extracellular and chromatin-associated proteins are detectable. These domains are extensively annotated with respect to phyletic distributions, functional class, tertiary structures and functionally important residues. Each domain found in a non-redundant protein database as well as search parameters and taxonomic information are stored in a relational database system. User interfaces to this database allow searches for proteins containing specific combinations of domains in defined taxa.

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