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Fish

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  • This dataset gathers the names of 86 species of fish as well as their trophic category, abundance and biomass per replicate, sampled by bottom trawling in Posidonia oceanica beds in three main geographic areas (Marseille, Port-Cros Island and Galeria in Corsica) of the Mediterranean French coast. Samples were collected by bottom trawling performed in seagrass meadows between 10 and 40 m depth at different seasons (summer-winter) and period (day-night) at several occasions between 1980 and 2013. This dataset is a witness of the structure, functioning and evolution of fish assemblages in north-western Mediterranean Posidonia oceanica beds.   Image Reference: https://www.seanoe.org/data/00907/101934/illustrations/illustration-236.gif.   Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • This dataset gathers the names of 325 species of fish as well as their trophic category (8), habitat (9), abundance category (6) and minimum abundance (minimum number of individuals recorded per species and replicate), observed in 1990 across Yonge Reef (14°35’S latitude and 145°37’E longitude), an outer-shelf reef located in the northern part of the Great Barrier Reef, Australia. Underwater visual censuses (45 to 60 min) were performed in the nine habitats distinguished from the windward outer side to the leeward lagoon side, between 0.5 and 30 m deep. This dataset is a witness of the specific and trophic structure of fish assemblages across Yonge Reef in 1990 and will serve as a baseline for studies on the impacts of climate change on coral reef fish composition and functioning. Fig : Map of the study reef, Yonge Reef, in outer-shelf position on the northern Great Barrier Reef Image Reference: https://www.seanoe.org/data/00884/99632/illustrations/illustration-216.gif. List of variables Country = Name of country Reef = Name of the reef studied on the Great Barrier Reef Date = Date of observation Zone = Name of the geomophological zone of the reef (Outer slope, Reef flat, Inner slope) Site = Location of observation on the reef Depth Min (m) = Minimum depth of observation (m) Depth Max (m) = Maximum depth of observation (m) Habitat category = Category of habitats (9) Code Habitat = Code of habitat category (AGR = Acropora grandis zone; IPA = Isopora palifera zone; BOZ = Boulder zone; BRF = Back reef flat margin; DLS = Deep lagoon slope; DOS = Deep outer slope; ORF = Outer reef flat; SLS = Shallow lagoon slope; SOS = Shallow outer slope) Code Replicate = Initial numbering of observation replicate Fish family = Latin name of fish family or subfamily (Scaridae was kept as a family for simplicity following FishBase (2024) and not included in Labridae as the tribe Scarini as proposed by Hughes et al. (2023) Fish species = Latin name of genus and species of the fish recorded Trophic category (8) = code of diet category of the fish species (COR = Corallivores; CRU = Crustacivores; HMD = Herbivores, Microvores & Detritivores; IMA = Macroinvertivores; IMI = Microinvertivores; ISE = Sessiles Invertivores; PIS = Piscivores; PLK = Planktivores) (following Parravicini et al., 2020) Code Abundance (6) = Code of abundance category (1 = 1 individual; 2 = 2 - 5 individuals; 3 = 6 - 25 individuals; 4 = 26 - 125 individuals; 5 = 126 - 625 individuals; 6 = 626 - 3250 individuals) Min Abundance = Minimum number of individuals recorded per species in each abundance category References https://www.FishBase.org (2024) Hughes L.C., Nash C.M., White W.T., Westneat M.W. (2023) Concordance and discordance in the phylogenomics of the wrasses and parrotfishes (Teleostei: Labridae). Systematic Biology, 72: 530-543. Parravicini V., Casey J.M., Schiettekatte N.M.D., Brandl S.J., Pozas-Schacre C., Carlot J., Edgar G.J., Graham N.A.J., Harmelin-Vivien M., Kulbicki M., Strona G., Stuart-Smith R.D. (2020) Delineating reef fish trophic guilds with global gut content data synthesis and phylogeny. PloS Biology, 18(12): e3000702. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • This dataset comprises energy density and proximal composition (water, ash, lipid and protein contents) for anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) from the Bay of Biscay, the English Channel and the southern North Sea between 2014 and 2017. Fish were sampled throughout various seasons thanks to the (CAPTAIN)-[https://doi.org/10.13155/69764] project (France Filière Pêche). During the surveys, pelagic (PELGAS and JUVENA) or demersal (EVHOE and CGFS) trawl hauls are undertaken to identify species and measure individual fish traits. Professional sampling was performed from pelagic trawl or purse-seine catches. From the various surveys, a sub-sampling of the trawls was performed to cover as much as possible the spatial extent of the surveys along the french coast. From the various selected trawls, a sub-sampling of 5 fish per size class (when possible) was performed to cover the size range of each species, based on the following size classes : sardine (1 : <15 cm ; 2 : 15-20 cm ; 3 : >20cm), anchovy (1 : <10cm ; 2 : 10-14 cm ; 3 : >14cm). Each fish was individually measured to the nearest tenth of a centimeter and weighted to the nearest tenth of a gram. These measurements were taken either at sea or later in the laboratory. The collected fish were frozen individually at -20°C before laboratory processing. In the laboratory, maturity stages were determined following ICES guidelines ((ICES, 2008)-[https://doi.org/10.17895/ices.pub.19280426]) based on macroscopic gonads observation and using a six-stage key as follows: stages 1 & 2 indicate immature and developing individuals, stages 3–5 indicate three steps of increasing gonad development and the spawning period (stage 3: partial pre-spawning; stage 4: spawning (hydrated); stage 5: partial post-spawning), and stage 6 features the final post-spawning period. Fish characterised by maturity stages 3, 4 or 5 were considered as being in an active reproductive period as opposed to fish in stages 1, 2 or 6. Fish were then ground and freeze-dried during at least 48 hours. Water content of the entire fish was determined from dry mass and wet mass ratio. Then, fish were ground again to obtain fine homogeneous dry powder for subsequent analysis. Energy density measurements were performed following the protocols of (Gatti et al. (2018))-[https://archimer.ifremer.fr/doc/00416/52754/]. Two subsamples of fish powder were placed in an adiabatic bomb calorimeter (IKA C-4000 adiabatic bomb calorimeter, IKA-WerkeGmbh & co. KG) for energy measurements. The energy density (ED, kJ.g-1 dry mass) was determined by measuring the heat released through the combustion of a small subsample, approximately 200 mg. If the coefficient of variation between the two measurements exceeded 3%, a third measurement was made. Finally, ED subsamples measurements were averaged and assigned to each individual fish. Energy density analyses were conducted on 503 individuals for anchovy and 976 individuals for sardine. Ash content was determined gravimetrically by combusting dried tissue in a muffle furnace at 550°C for six hours. Lipids and proteins were analysed by a certified laboratory (Labocea, Plouzané, France). Protein content was estimated using the Kjeldahl method. It consists in first determining the quantity of nitrogen contained in the sample, and to convert it into protein content using a conversion factor (6.25 here). Lipid content was determined by hydrolysis, using petroleum ether as an organic solvent. Carbohydrates represent less than 1% of fish mass and were thus neglected. Protein, lipid and ash content did not exactly sum to 1 in DW (anchovy: mean = 0.91, sd = 0.04; sardine: mean = 0.90, sd = 0.04). This discrepancy may arise from residual water, measurement uncertainties, or to a lesser extent the exclusion of carbohydrates. Body component contents have been normalised by dividing each component by the sum of lipids, proteins and ash content, to sum to one, enabling comparisons between fishes, assuming proportional errors across the components. A total of 116 and 104 proximate composition analyses were performed for anchovy and sardine, respectively. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • This dataset contains an inventory of bentho-demersal fauna captured by bottom trawling in Corsica and in the north of Sardinia. There are also counts, measurements of weight, length and sexe determination of individuals. This exploratory bottom trawl survey aimed at evaluating the fishing possibilities in the region. Unfortunatly the exact location of each station could not be recovered. According to the institute 1964 activity report, this survey carried out in November and December 1963 enabled to locate trawlable areas in deep waters off Eastern Corsica, in particular off Bastia, Aleria and Solenzara. It also permitted to locate high yield deep shrimps’ areas off the coasts of Sardinia, in particular the south coast between the capes Spartivento and Sperone, the west coast between the cape Sperone and the gulf d’Oristano and between the capes Mannu and Argenteria and the north-east coast off cape Ferro. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • To improve our knowledge of the aggregation of species around anchored FADs in Mayotte, diving surveys are carried out every 3 months on 3 FADs. Various environmental parameters are also collected in order to establish links between them and aggregations. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • This dataset illustrates a study of the trawlable seabed of the Gulf of Lion, which took place over 11 years between 1965 and 1976. An inventory of the bentho-demersal community was carried out by bottom trawling. Measurements of total weight were taken as well as sex determination. This study was carried out with the research vessel Ichthys. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • The Green Edge project was designed to investigate the onset, life and fate of a phytoplankton spring bloom (PSB) in the Arctic Ocean. The lengthening of the ice-free period and the warming of seawater, amongst other factors, have induced major changes in arctic ocean biology over the last decades. Because the PSB is at the base of the Arctic Ocean food chain, it is crucial to understand how changes in the arctic environment will affect it. Green Edge was a large multidisciplinary collaborative project bringing researchers and technicians from 28 different institutions in seven countries, together aiming at understanding these changes and their impacts on the future. The fieldwork for the Green Edge project took place over two years (2015 and 2016) and was carried out from both an ice camp and a research vessel in the Baffin Bay, Canadian arctic. Here, we describe the data set obtained during the research cruise, which took place aboard the Canadian Coast Guard Ship (CCGS) Amundsen in spring 2016. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • The CGFS campaign is part of a historical series of fishing surveys that began in 1988 (CGFS Eastern part, conducted on the R/V Gwen Drez) and was extended to cover the entire English Channel regularly from 2018 (on R/V Thalassa). OInly data for the Eastern Channel is presented. For data from the Western Channel please see "WCGFS". For both surveys, the main objective is to collect basic data for estimating the state of resources through direct assessment of stock abundance and distribution, along with biological sampling of the catches. Taking place every year between mid-September and mid-October, it contributes to the European project for the contractualization of basic fishery data collection (DCF). The campaign also allows for sampling and a better understanding of the entire ecosystem, aligning with the implementation of an ecosystem-based approach to fisheries at the community level. The CGFS also provides data for numerous national and international research projects. The collected and validated data are transmitted at the end of each campaign to national databases (SIH, Harmonie, Coriolis) and the European database (DATRAS), enabling their use by different working groups and ensuring public access to this data. Finally, the CGFS data contributes to the baseline assessment of the impact of numerous marine aggregates extraction projects (through a multi-year convention signed between the Ministry of Ecology, Sustainable Development and Spatial Planning, IFREMER, and BRGM) planned or underway in the Eastern English Channel. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • This dataset illustrates a study of the trawlable seabed of the Gulf of Lion, which took place over four years between 1957 and 1960. An inventory of the bentho-demersal community was carried out by bottom trawling. Measurements of total weight and length were taken as well as sex determination. This study was carried out with the research vessel Président Théodore Tissier up to 1959 and with the research vessel La Thalassa in 1960. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.

  • This dataset includes 3D sagittal left otolith meshes obtained from 339 individual red mullet (Mullus barbatus) specimens. These samples were collected from 17 distinct geographical locations spanning the whole Mediterranean Sea. Recorded biological parameters include fish total length (TL, ranging from 125 to 238 mm), total weight (W, ranging from 14.9 to 168.0 g), sex, and sexual maturity staging. The 3D otolith dataset consists of high-resolution meshes obtained through microtomography (29.2 m voxel size). The dataset provides valuable insights into the morphological variability and population structure of red mullet populations in the Mediterranean Sea. Important Note: This submission has been initially submitted to SEA scieNtific Open data Edition (SEANOE) publication service and received the recorded DOI. The metadata elements have been further processed (refined) in EMODnet Ingestion Service in order to conform with the Data Submission Service specifications.