Raw reads for the assembly of Gambusia holbrooki genome.

This dataset consists of metatranscriptomic sequencing reads corresponding to coastal micro-eukaryote communities sampled in Western Europe in 2018 and 2019.

WGS for Iatlantic projet ( ) for assessing past and present connectivity

This study gathers multi-year environmental sequencing datasets generated within the French ROME pilot observatory network. It includes eDNA metabarcoding and RNA-based analyses from water samples, oyster tissues, and viral fractions collected across four French estuarine ecosystems between 2020 and 2023, supporting integrated monitoring of coastal microbiomes and microbial hazards.

Sequenced samples are city center wastewater sampled by passive samplers. Variants are identified by Illumina Miseq sequencing.

Develop parentage assignment panels using genetic fingerprinting of pearl oysters for use in commercial hatcheries and research to manage pedigrees in order to limit the risks of loss of genetic variability and increased inbreeding of commercial lines.

The eleven collected wild strains of T. lutea were compared phenotypically, in particular with regard to their pigment and lipid profiles. The genome of each T. lutea strain was also sequenced to investigate the genetic structure and genome organisation of this species. Collected data were summarized in a genome browser to provide easy-to-use support for the scientific community (https://genomes-catalog.ifremer.fr). This provides an important resource- to understand, exploit and predict the biodiversity of this species.

Planning units layers used for ATLAS EU prioritization scenarios on the North Atlantic (18°N to 76°N and 36°E to 98°W). This raster layer is designed on a grid of 25km * 25km resolution, that served to extract all the spatial data used prioritization. The 31 518 planning units (cells with value) corresponded to areas containing depths shallower or equal to 3500m, even if they could also contain deeper areas locally. For connectivity scenarios, only the planning units matching with the extent of available connectivity data were selected. One layer allocates planning units to the 13 geographical provinces (values ranging from 1 to 13) created for the purpose of prioritization. This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.

WGS of SARS-CoV-2 by Oxford Nanopore Technology from raw wastewater samples collected in France, 2020-2021

Dart Seq data gathered on Blue Shark in the framework of the PSTBS-IO project supported by funding from FAO, CSIRO Oceans and Atmosphere, AZTI Tecnalia, Institut de recherche pour le développement (IRD), and Research Institute for Tuna Fisheries (RITF) and financial assistance of the European Union (GCP/INT/233/EC – Population structure of IOTC species in the Indian Ocean), and POPSIZE project supported by FEAMP (2014-2020 UE N°508/2014), and Institut français de recherche pour l'Exploitation de la mer (Ifremer).