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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.

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.

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.

Ocean Gene Atlas(OGA) is a webservice to explore the biogeography of marine genes based on sequence similarity with environmental genomics datasets. OGA is currently implemented with the Tara Ocean Microbiome-Reference Gene Catalog database and the Marine Atlas of Tara Ocean Unigenes. Gene abundance estimates are computed for DNA metagenomes from the smallest Tara Oceans size fractions (from 0 to 3 µm, OM-RGC), and for RNA metatranscriptomes from Tara Oceans larger size fractions (0.8 to 2000µm, MATOU). OGA also includes curated Tara Oceans Eukaryotic Metagenome and Single-Cell Assembled Genomes (MAGs and SAGs), metagenomics-based transcriptomes (MGTs) and metagenome-assembled bacterial and archaeal genomes from the polar Arctic Ocean (Arctic MAG+G).

The DARIAH-DE repository is a digital long-term archive for human and cultural-scientific research data. Each object described and stored in the DARIAH-DE Repository has a unique and lasting Persistent Identifier (DOI), with which it is permanently referenced, cited, and kept available for the long term. In addition, the DARIAH-DE Repository enables the sustainable and secure archiving of data collections. The DARIAH-DE Repository is not only to DARIAH-DE associated research projects, but also to individual researchers as well as research projects that want to save their research data persistently, referenceable and long-term archived and make it available to third parties. The main focus is the simple and user-oriented access to long-term storage of research data. To ensure its long term sustainability, the DARIAH-DE Repository is operated by the Humanities Data Centre.

MatrixDB stores experimental data established by full-length proteins, matricryptins, glycosaminoglycans, lipids and cations. MatrixDB reports interactions with individual polypeptide chains or with multimers (e.g. collagens, laminins, thrombospondins) when appropriate. Multimers are treated as permanent complexes, referencing EBI identifiers when possible. Human interactions were inferred from non-human homologous interactions when available.