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.

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 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.

Coral reefs are one of the most diverse ecosystems on Earth. They are currently exposed to increasing levels of anthropogenic perturbations. Several recent reviews point to the lack of good indicators for these perturbations especially to monitor their effects on fish populations or fish assemblages. The SW lagoon of New Caledonia is an ideal location to test indicator species in this context as contrasting sites are present within a small geographical range. This study analysed fish from four sites, one with heavy industrial pollution, another dominated by domestic waste, a third with historic mining activities, and the fourth as a control. The butterfly fish, Chaetodon speculum, was chosen to determine C. speculum’s potential as an indicator species due to its link to coral, its sedentary behaviour and its wide geographical distribution. The size distribution, growth rate, age distribution and whole otolith composition were analysed at each site. Age and mean growth rate were analysed from daily increments of the otoliths. The concentrations of eight elements (Li, Mg, Co, Cu, Rb, Sr, and Ba) were measured by ICP-MS in the otoliths. The sites under anthropogenic impact were distinct from the control site by fish size frequencies, age distributions, and the chemical content of their otoliths. The chemical elements Mg, Co, Cu, and Rb showed differences amongst sites. Fish belonging to the sites furthest from Noume´a could be discriminated in nearly 80% of samples or 60% of the cases when otolith weight or fish age respectively were taken into account. Ni concentrations of the otoliths were also higher in the bays where water concentrations of this element were known to be higher, but these differences were no longer significant once corrected for otolith weight. 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.

Data were collected in the Southwest Greenland Fjords for the Eurofleets+ GSHARK cruise with the R/V Dana. This submission contains all CTD data and the shark observations. The team tried to use the CTD in several stations but it was not functioning properly so only 1 vertical profile was gathered (on 02/08/2021 near station 3, 60,6958 -46,0373).

Sound scattering layers (SSLs) are observed over a broad range of spatio-temporal scales and geographical areas. SSLs represent a large biomass, likely involved in the biological carbon pump and the structure of marine trophic webs. Yet, the taxonomic composition remains largely unknown for many SSLs. To investigate the challenges of SSL sampling, we performed a survey in a small study area in the Northern Bay of Biscay (France) by combining broadband and narrowband acoustics, net sampling, imagery and video recordings. In order to identify organisms contributing to the observed SSLs, we compared measured frequency spectra to forward predicted spectra derived from biological data. This dataset comprises the echo-integrated broadband acoustic data (in Sv(f)), the nets position and depth, and the abundance and the size of the catched organisms acquired during a specific operation of SSLs sampling during (Blanluet et al.)-[https://doi.org/10.1371/journal.pone.0223618]. 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 data were obtained from a regular sampling program of industrial fisheries landings in Rio Grande, southern Brazil. The dataset presented is composed of: Fishing gear with landing date, minimum and  maximum depth of the catches in ech fishing trip.. Individual fish parameters of length, total weight, total, sex, age, maturity stage, gonad weight, gonadosomatic indices and allometric condition factor. Type of the scales border and classification of the readability of the growth rings. During dock sampling, total length (TL), measured from the tip of the snout to the midpoint of the upper and lower limbs of the caudal fin, was recorded in mm, total weght. (TW) in grams,  and sexed: (1) male, (2) female, (3) undetermined and (4) hermaphrodite. Specimens were classified from macroscopic examination as hermaphrodites when both testicular and ovarian tissues were present in the gonads and as males or females when all or most of the tissue was testicular or ovarian, respectively. Maturity stages were determined macroscopically with a seven-point scale: (1) virginal immature, (2) developing virginal, (3) developing, (4) advanced development, (5) running, (6) partly spent and (7) recovering. Gonads were weighted in grams (GW) and the average gonadosomatic indices were calculated as GSI = 100(GW/TW) . Allometric condition factors (K) were calculated as K = TW/TLb, where b is the coefficient of the weight-length relationship. For age determination, scales collected from behind the pectoral fin insertion. The readability of growth rings on the scales were classified as “well-marked”, “faint or absent” and “unreadable”. The position of the last ring relative to the posterior border of the scales were classified a (1) recently formed near the border, or  (2) more distant of the border. 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.

Microsatellite dataset for albacore from GERMON project and additional information (geographic localisation, sex, fisheries, length, weight, and adult maturity). More detail: diploid,&nbsp;3-digit coding according to the length of the base pair microsatellite marker, and missing value are &quot;000&quot;.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 understand the genetic basis of coping style in European seabass, fish from a full factorial mating (10 females x 50 males) were reared in common garden and individually tagged. Individuals coping style was characterized through behavior tests at four different ages, categorizing fish into proactive or reactive: a hypoxia avoidance test (at 255 days post hatching, dph) and 3 risk-taking tests (at 276, 286 and 304 dph). We observed significant heritability of the coping style, higher for the average of risk-taking scores (h&sup2; = 0.45 &plusmn; 0.14) than for the hypoxia avoidance test (h&sup2; = 0.19 &plusmn; 0.10). The genetic correlations between the three risk-taking scores were very high (rA = 0.96 &ndash; 0.99) showing that although their repeatability was moderately high (rP = 0.64 &ndash; 0.72), successive risk-taking tests evaluated the same genetic variation. A mild genetic correlation between the results of the hypoxia avoidance test and the average of risk-taking scores (0.45 &plusmn; 0.27) suggested that hypoxia avoidance and risk-taking tests do not address exactly the same behavioral and physiological responses. Genetic correlations between weight and risk taking traits showed negative values whatever the test used in our population i.e. reactive individual weights were larger. The results of this quantitative genetic analysis suggest a potential for the development of selection programs based on coping styles that could increase seabass welfare without altering growth performances. Overall, it also contributes to a better understanding of the origin and the significance of individual behavioral differences.

Conversion of chemical contamination in fish muscle is often based on empirical conversion factors. This dataset gather individual conversion factors in 17 fish and one cephalopod species sampled in the English Channel during CAMANOC survey in autumn 2014. Biological parameters (length, C/N ratio and trophic level) were considered as potential driver of the variability in conversion factor and are provided in the dataset.