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2,703 Data sources

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  • The Biodiversity Literature Repository (BLR) is a research infrastructure (RI) comprising the BLR Community on Zenodo at the European Center for Nuclear Research (CERN), and services to search and retrieve the data (Ocellus, Zenodeo API, BLR website). BLR’s focus is on biodiversity data liberated from scholarly publications, and it uses custom metadata linking to external vocabularies covering the needs of the biodiversity community. This includes taxonomic treatment or figures as well as the deposit of the original article annotated with metadata describing the data contained in the articles itself, as well as related identifiers for figures and and treatments therein. The main data import is through TreatmentBank or via publishers such as Pensoft. With over 650,000 deposits, BLR is the single largest community in Zenodo. It’s data is widely reused, for example by the Global Biodiversity Information Facility (GBIF). All data in BLR is published under the CC0 Public Domain Dedication, remaining free for anyone to use, anywhere, for any purpose. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the content of the database is no longer accessible. We are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.

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  • GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.

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  • The PR2 reference sequence database began as part of the BioMarks project from previous work in the Plankton Group of the Station Biologique of Roscoff. It aims to provide a reference database of carefully annotated 18S rRNA sequences using nine unique taxonomic fields (from domain to species). At present, it contains over 240,000 sequences. Although it focuses on protists, it also contains sequences from metazoa, fungi and plants as well a limited set of 16S sequences from plastids and bacteria. Several metadata fields are available for many sequences, including geo-localisation, whether it originates from a culture or a natural sample, and host type. The annotation of PR2 is performed by experts in each of the taxonomic groups.

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  • The institutional data repository DataSuds provides IRD scientists and their partners with a service to disseminate, preserve and enhance their multi-disciplinary research data by facilitating their identification and citation. It is one of the elements of the open science system for the South promoted by IRD.

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  • The IOW Data Portal was designed for the particular requirements of the Leibniz Institute for Baltic Sea Research (IOW). It is aimed at the management of historical and recent measurement of the IOW (to some extend of other data, too) and to provide them in a user-friendly way via the research tool ODIN (Oceanographic Database research with Interactive Navigation).

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  • This site provides access to the research output of the institution. Not all items listed are available as full text, and many are bibliographic entries only. The interface is available in German and English.

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2,703 Data sources
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  • The Biodiversity Literature Repository (BLR) is a research infrastructure (RI) comprising the BLR Community on Zenodo at the European Center for Nuclear Research (CERN), and services to search and retrieve the data (Ocellus, Zenodeo API, BLR website). BLR’s focus is on biodiversity data liberated from scholarly publications, and it uses custom metadata linking to external vocabularies covering the needs of the biodiversity community. This includes taxonomic treatment or figures as well as the deposit of the original article annotated with metadata describing the data contained in the articles itself, as well as related identifiers for figures and and treatments therein. The main data import is through TreatmentBank or via publishers such as Pensoft. With over 650,000 deposits, BLR is the single largest community in Zenodo. It’s data is widely reused, for example by the Global Biodiversity Information Facility (GBIF). All data in BLR is published under the CC0 Public Domain Dedication, remaining free for anyone to use, anywhere, for any purpose. Note from the FAIRsharing team: we have classified the status of the resource as 'uncertain' because the content of the database is no longer accessible. We are making every effort to engage with the resource owners to understand if it is a temporary issue or if the resource is no longer active.

    more_vert
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  • GBIF France hosts this data repository on behalf of GBIF Guinea in collaboration with the GBIF Secretariat, built using an installation of the GBIF Integrated Publishing Toolkit (IPT). GBIF-GUINEE is established within the Centre d'Observation de Surveillance et d'Information Environnementales (COSIE) , the signatory of the GBIF Memorandum of Understanding, as a specialized team working on the collection of biodiversity occurrence data from data publishers to enable their publication on the Internet. The node of GBIF-GUINEE is mandated to collect species occurrence data on the national and international level in order to make these available to data users and decision makers. The data collected and disseminated by COSIE enable the generation of statistics to support decision making by authorities, in order to integrate ecological considerations into programmes and plans for the socio-economic development of Guniea. These ecological considerations have the goal of protection of the environment and biological diversity.

    more_vert
  • The PR2 reference sequence database began as part of the BioMarks project from previous work in the Plankton Group of the Station Biologique of Roscoff. It aims to provide a reference database of carefully annotated 18S rRNA sequences using nine unique taxonomic fields (from domain to species). At present, it contains over 240,000 sequences. Although it focuses on protists, it also contains sequences from metazoa, fungi and plants as well a limited set of 16S sequences from plastids and bacteria. Several metadata fields are available for many sequences, including geo-localisation, whether it originates from a culture or a natural sample, and host type. The annotation of PR2 is performed by experts in each of the taxonomic groups.

    more_vert
  • The institutional data repository DataSuds provides IRD scientists and their partners with a service to disseminate, preserve and enhance their multi-disciplinary research data by facilitating their identification and citation. It is one of the elements of the open science system for the South promoted by IRD.

    more_vert
  • The IOW Data Portal was designed for the particular requirements of the Leibniz Institute for Baltic Sea Research (IOW). It is aimed at the management of historical and recent measurement of the IOW (to some extend of other data, too) and to provide them in a user-friendly way via the research tool ODIN (Oceanographic Database research with Interactive Navigation).

    more_vert
  • This site provides access to the research output of the institution. Not all items listed are available as full text, and many are bibliographic entries only. The interface is available in German and English.

    more_vert
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