DNA sequencing of Crassostrea gigas Pacific oyster spat infected in the wild with OsHV-1 virus in 4 French oyster basins (Marennes Oleron Bay, Arcachon bay, Rade de Brest and Thau lagoon).

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.

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

Vibrio bacteria sampled from juvenile oysters and seawater collected in Thau Lagoon (Languedoc-Roussillon, France) in October 2015 during a mortality event were genotyped using hsp60, rctB, topA and mreB protein-coding genes

Comparison between 3 kits, Roche, Twist Biosciences and Illumina on the ability to enrich environmental samples to viral sequences

This study aims to compare different metabarcoding sequences of commercially fished shrimps collected by tree counties on the North Brazil Shelf Large Marine Ecosystem

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

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

scRNA-seq reads from a Pacific oyster (Crassostrea gigas) hemocyte preparation. Hemocytes were isolated from a unique immunologically naive animal (Ifremer Standardized Animal, 18 months) and single-cell drop-seq technology was applied to 3,000 individual hemocytes.

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.