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  • 1
  • 2
    Publication Date: 2023-12-29
    Description: We report dive data collected from 21 fin whales (Balaenoptera physalus) instrumented with time-depth recorders (TDRs) off the Azores (38° N 28° W) between April and September, from 2007 to 2017. The TDRs recorded depth data at 1s sampling rate with a resolution of 0.5 m and precision of ±1%. Before analysis, data were truncated to remove periods before tag deployment and after the tag detached from the whale. TDR data were processed using the “diveMove” package in R (Luque, 2007). A zero offset correction was first applied to correct shifts in the surface baseline of depth recordings. A dive was defined as any submergence deeper than 15 m to exclude surface respiration activity. The dataset includes a total of 2594 dives performed by the 21 fin whales. A total of ten variables were calculated for each dive: maximum depth, dive duration, post-dive duration, descent and ascent rate, duration of bottom phase, mean and standard deviation of bottom depth, proportion of time spent at the bottom in relation to the dive duration, and depth range of the bottom phase.
    Keywords: Balaenoptera physalus; Calculated; dive; Dive, duration; Dive, maximum depth; Dive, time at bottom, absolute; Dive, time at bottom, relative; Dive, time post-dive; Dive, velocity, ascent; Dive, velocity, descent; Dive/swim depth; dive depth; Dive depth, standard deviation; dive duration; Dive number; Field observation; fin whale; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; SUMMER; Sustainable Management of Mesopelagic Resources; time-depth recorders; Time of day; VID; Visual identification
    Type: Dataset
    Format: text/tab-separated-values, 36316 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-02-17
    Description: Mesopelagic organisms play a critical role in marine ecosystems, channelling energy and organic matter across food webs and serving as the primary prey for many open-ocean predators. Nevertheless, trophic pathways involving mesopelagic organisms are poorly understood and their contribution to food web structure remains difficult to assess (St. John et al., 2016). Existing data to assess mesopelagic feeding interactions and energy transfer are scattered in the literature or remain unpublished, making it difficult to locate and use such datasets. As part of the EU funded project SUMMER - Sustainable Management of Mesopelagic Resources H2020-BG-2018-2, GA: 817806) (https://summerh2020.eu/), we created MesopTroph, a georeferenced database of diet, trophic biogeochemical markers, and energy content of mesopelagic organisms and other marine taxa from the Northeast Atlantic and Mediterranean Sea, compiled from 191 published and non-published sources. MesopTroph includes seven datasets: (i) diet compositions from stomach content analysis, (ii) stable isotopes of carbon and nitrogen (δ13C and δ15N), (iii) fatty acid trophic markers (FATM), (iv) major and trace elements, (v) energy density, (vi) estimates of diet proportions, and (vii) trophic positions. The database contains information from 4918 samples, representing 51119 specimens from 499 species or genera, covering a wide range of trophic guilds and taxonomic groups. Metadata provided for each record include the location, dates and method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, method/model used in data analysis, reference and DOI of the original data source. Compiled data were checked for errors, missing information, and to avoid duplicate entries, and scientific names and taxonomy were standardized.
    Keywords: diet composition; diet proportions; energy density; fatty acids; major and trace element data; Mediterranean; megafauna; mesopelagic food web; mesopelagic organisms; North Atlantic; Stable isotopes; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources; trophic markers; trophic position
    Type: Dataset
    Format: application/zip, 7 datasets
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-02-27
    Description: Fatty acid (FA) composition has increasingly been used to estimate the dietary preference of marine organisms. Specific fatty acids and fatty acid ratios serve as trophic markers (FATM) and have the potential to provide insights on the long-term dietary preference of organisms. FATM have been applied for this purpose on various zooplankton, fish and up to whales. We aim to build up a database of new and published data on fatty acid content of mesopelagic fish and their predators from the central and Northeast Atlantic, and the Mediterranean Sea, to use in FATM food web studies, investigating the importance of mesopelagic organisms as predators and prey in the marine ecosystem. Here we compiled FA content (i.e., the proportion of each FA measured in sampled tissues or in the whole body of organisms in relation to total FAs analysed) of 36 fish species or genera, 15 seabirds, five marine mammals, two cephalopods, one turtle, one jelly fish, and one shark. For each record, we included all FAs with values above 0.1% of total FAs and report the percentage values as provided in the original data source. Each data record is associated with information on the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: (9Z)-heptadec-9-enoic acid; (9Z)-heptadec-9-enoic acid, standard deviation; 12,15 Octadecadienoic acid of total fatty acids; 3,6,9,12 Hexadecatetraenoic acid of total fatty acids; 4,7,10,13,16-Docosapentaenoic acid; 6,9,12,15-Hexadecatetraenoic acid of total fatty acids; 6,9,12-Hexadecatrienoic acid of total fatty acids; 9,12-Hexadecadienoic acid of total fatty acids; 9-Tetradecenoic acid of total fatty acids; 9-Tetradecenoic acid of total fatty acids, standard deviation; Adriatic_Sea_comp; all-cis-11,14,17-Eicosatrienoic acid of total fatty acids; all-cis-11,14,17-Eicosatrienoic acid of total fatty acids, standard deviation; all-cis-11,14-Eicosadienoic acid of total fatty acids; all-cis-11,14-Eicosadienoic acid of total fatty acids, standard deviation; all-cis-11,14-Octadecadienoic acid of total fatty acids; all-cis-13,16,19-Docosatrienoic acid of total fatty acids; all-cis-3,6,9,12,15-Octadecapentaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids; all-cis-4,7,10,13,16,19-Docosahexaenoic acid of total fatty acids, standard deviation; all-cis-4,7,10,13,16-Docosapentaenoic acid, standard deviation; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids; all-cis-5,8,11,14,17-Eicosapentaenoic acid of total fatty acids, standard deviation; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids; all-cis-5,8,11,14-Eicosatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15,18-Heneicosapentaenoic acid of total fatty acids; all-cis-6,9,12,15,18-Heneicosapentaenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15-Hexadecatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids; all-cis-6,9,12,15-Octadecatetraenoic acid of total fatty acids, standard deviation; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids; all-cis-6,9,12-Octadecatrienoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids; all-cis-7,10,13,16,19-Docosapentaenoic acid of total fatty acids, standard deviation; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids; all-cis-7,10,13,16-Docosatetraenoic acid of total fatty acids, standard deviation; all-cis-7,10,13-Hexadecatrienoic acid of total fatty acids; all-cis-7,10-Hexadecadienoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids; all-cis-8,11,14,17-Eicosatetraenoic acid of total fatty acids, standard deviation; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids; all-cis-8,11,14-Eicosatrienoic acid of total fatty acids, standard deviation; all-cis-9,12,15-Hexadecadienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids; all-cis-9,12,15-Octadecatrienoic acid of total fatty acids, standard deviation; all-cis-9,12-Hexadecadienoic acid of total fatty acids, standard deviation; all-cis-9,12-Hexadecatrienoic acid of total fatty acids, standard deviation; all-cis-9,12-Octadecadienoic acid of total fatty acids; all-cis-9,12-Octadecadienoic acid of total fatty acids, standard deviation; Azores_comp; Balearic_Sea_comp; Barbate_comp; Barents_Sea_comp; Canary_Islands_comp; Cape_Verde_comp; Catalonian_Sea_comp; Central_Northeastern_Atlantic_comp; Cephalopods; cis-10-Heptadecenoic acid of total fatty acids; cis-10-Heptadecenoic acid of total fatty acids, standard deviation; cis-11-Docosenoic acid of total fatty acids; cis-11-Docosenoic acid of total fatty acids, standard deviation; cis-11-Hexadecenoic acid of total fatty acids, standard deviation; cis-11-Hexadecenoic acid of total fatty acids (IUPAC: (11Z)-hexadec-11-enoic acid); cis-11-Icosenoic acid of total fatty acids; cis-11-Icosenoic acid of total fatty acids, standard deviation; cis-11-Octadecenoic acid of total fatty acids, standard deviation; cis-11-Octadecenoic acid of total fatty acids (IUPAC: Octadec-11-enoic acid); cis-13-Docosenoic acid of total fatty acids; cis-13-Docosenoic acid of total fatty acids, standard deviation; cis-13-Icosenoic acid of total fatty acids; cis-13-Icosenoic acid of total fatty acids, standard deviation; cis-13-Octadecenoic acid of total fatty acids; cis-13-Octadecenoic acid of total fatty acids, standard deviation; cis-15-Docosenoic acid of total fatty acids; cis-15-Docosenoic acid of total fatty acids, standard deviation; cis-15-Tetracosenoic acid of total fatty acids; cis-15-Tetracosenoic acid of total fatty acids, standard deviation; cis-7-Hexadecenoic acid of total fatty acids; cis-7-Hexadecenoic acid of total fatty acids, standard deviation; cis-9-Hexadecenoic acid of total fatty acids, standard deviation; cis-9-Hexadecenoic acid of total fatty acids (IUPAC: (9Z)-hexadec-9-enoic acid); cis-9-Icosanoic acid of total fatty acids; cis-9-Icosanoic acid of total fatty acids, standard deviation; cis-9-Octadecenoic acid of total fatty acids (IUPAC: Octadec-9-enoic acid); Class; Comment; Decanoic acid of total fatty acids; DEPTH, water; Docosanoic acid, standard deviation; Docosanoic acid of total fatty acids; Dodecanoic acid of total fatty acids; Dodecanoic acid of total fatty acids, standard deviation; dolphins; Ebro_Delta_comp; elasmobranchs; Event label; Family; fatty acids; Finnmark_comp; Gear; Heptadecanoic acid, standard deviation; Heptadecanoic acid of total fatty acids; Hexadecadienoic acid of total fatty acids; Hexadecanoic acid, standard deviation; Hexadecanoic acid of total fatty acids; Hexadecatetraenoic acid of total fatty acids; Hexadecatetraenoic acid of total fatty acids, standard deviation; Hexadecatrienoic acid of total fatty acids; Hexadecatrienoic acid of total fatty acids, standard deviation; Hexadecenoic acid of total fatty acids; Icosanoic acid, standard deviation; Icosanoic acid of total fatty acids; Institution; Investigator; Irminger_Sea_comp; Isle_of_May_comp; Jellyfish; LATITUDE; Lipids, per total wet mass; Location; Lofoten_Vesteralen_comp; LONGITUDE; Madeira_comp; marine mammals; Mauritania_comp; mesopelagic fish; mesopelagic food web; Mid_North_Atlantic_comp; Month; North_Sea_comp; Norwegian_Sea_North_comp; Number of individuals; Ocean and sea region; Octadec-7-enoic acid of total fatty acids; Octadec-7-enoic acid of total fatty acids, standard deviation; Octadec-9-enoic acid, standard deviation; Octadecanoic acid, standard deviation; Octadecanoic acid of total fatty acids; Octadecatetraenoic acid 18:4(n-4) of total fatty acids; Octadecenoic acid of total fatty acids; Order; Organisms; Pentadecanoic acid, standard deviation; Pentadecanoic acid of total fatty acids; Persistent Identifier; Phylum; Raso_Islet_Cape_Verde_comp; Record number; Reference/source; Replicates; Reykjanes_Ridge_comp; Seabirds; Size; Spanish_coast_comp; Spitsbergen_Bear_Island_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Svalbard_comp; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tetracosanoic acid, standard deviation; Tetracosanoic acid of total fatty acids; Tetradecanoic acid, standard deviation; Tetradecanoic acid of total fatty acids; trophic markers; Tropic_Seamount_comp; Wet mass; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 16550 data points
    Location Call Number Expected Availability
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  • 5
    Publication Date: 2024-03-02
    Description: Fractional trophic levels (i.e., trophic positions) describe the position of organisms within food webs and help define their functional roles in ecosystems (Odum & Heald, 1975). Trophic positions are thus critical for characterizing species' diets and energy pathways, investigating food web dynamics and ecosystem functioning, and assessing ecosystem health and resilience (Pauly et al., 1998; Pauly & Watson, 2005; Vander Zanden & Fetzer, 2007). We compiled estimates of trophic positions of marine organisms sampled across North Atlantic and Mediterranean waters between 1974 and 2015, gathered from 33 published and unpublished sources. The dataset comprises 208 unique species or genera, including zooplankton, decapods, cephalopods, pelagic and benthic fish, elasmobranchs, marine mammals, marine turtles, seabirds, as well as detritus. Estimates of trophic position were based on the analyses of stomach contents, bulk nitrogen stable isotopes (δ15N values), or amino acid compound-specific nitrogen isotopic analysis. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, type of analyses and estimation method, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Analytical method; Azores_comp; Azores-Iberian_Peninsula_comp; Balearic_Sea_comp; Barents_Sea_comp; Bay_of_Biscay_comp; Bay_of_Malaga_comp; Bear_Seamount_comp; Canary_Islands_comp; Cape_Blanc_comp; Cape_Verde_comp; Catalonian_Sea_comp; Cephalopods; Class; Comment; Condor_comp; Crustacea; DEPTH, water; elasmobranchs; Equatorial_comp; Event label; Family; fish; France_comp; Gear; Gulf_of_Lions_comp; Iberian_Peninsula_comp; Institution; Investigator; Jellyfish; LATITUDE; Location; LONGITUDE; marine mammals; marine turtles; Mediterranean_comp; mesopelagic food web; Method comment; Month; Newfoundland_Labrador_comp; North_Sea_comp; North_Water_polynya_comp; Northeast_Atlantic_comp; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Portugal_comp; Record number; Reference/source; Replicates; salps; Scotland_comp; Seabirds; Size; Spain_comp; Strait_of_Gibraltar_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Thracian_Sea_comp; Tissue Descriptor; Trophic level; Trophic level, standard deviation; trophic position; Tyrrhenian_Sea_comp; Wales_comp; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 15378 data points
    Location Call Number Expected Availability
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  • 6
    Publication Date: 2024-03-02
    Description: Stomach contents analysis is a standard dietary assessment method that potentially enables quantifying diet components with high taxonomic resolution. We compiled diet compositions from stomach content analysis from 75 unique species or genera: 32 fish, 19 marine mammals, 14 elasmobranchs, 9 seabirds and one marine turtle. Data were gathered from 89 published sources that included samples collected between 1885 and 2016 throughout the central and Northeast Atlantic, and the Mediterranean Sea. When available, we reported the percentage number of individuals of a prey type as a proportion of the total number of prey items (%N), the proportion of a prey item by weight (%W), and the proportion of stomachs containing a particular prey item (i.e. percent frequency of occurrence, %F). For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Adriatic_Sea_comp; Azores_comp; Azores-Iberian_Peninsula_comp; Azores-Madeira-Galicia_comp; Balearic_Sea_comp; Baltic_Sea_comp; bathypelagic fish; Bay_of_Biscay_comp; Bay_of_Biscay_western_Channel_comp; Bay_of_Malaga_comp; Bear_Island_comp; Canary_Islands_comp; Cariaco_Trench_Caribbean_Sea_comp; Catalonian_Sea_comp; Charlie-Gibbs_Fracture_comp; Class; Coast_of_Finmark_comp; Coast_of_Kola_comp; Comment; Danois_Bank_Cantabria_Bay_Biscay_comp; Denmark_comp; DEPTH, water; diet composition; elasmobranchs; England_western_channel_comp; Event label; Family; Faraday_Seamount_comp; Faroe_Islands_comp; Faroe_Shetland_Islands_comp; France_comp; Galicia_comp; Gear; Greece_comp; Gulf_of_Cadiz_comp; Gulf_of_Lions_comp; Hyeres_archipelago_comp; Iceland_comp; Ionian_Sea_comp; Ireland_comp; large pelagic fish; LATITUDE; Levantine_Sea_comp; Location; Lofoten_Vesteralen_comp; LONGITUDE; Madeira_comp; marine mammals; marine turtles; Mauritania_Cape_Verde_comp; mesopelagic fish; mesopelagic food web; Mid-Atlantic_Bight_comp; Month; Netherlands_comp; North_Sea_comp; Northeast_Atlantic_comp; Number of individuals; Number of prey; Occurrence; Ocean and sea region; Order; Organisms; pelagic fish; Persistent Identifier; Phylum; Portugal_comp; Prey, mass; Prey taxa; Record number; Reference/source; Replicates; Reykjanes_Ridge_comp; Sample ID; Scotland_comp; Seabirds; Size; Southwest_Ireland_comp; Spain_comp; stomach content analysis; Strait_of_Gibraltar_comp; Strait_of_Messina_comp; Strait_of_Sicily-Gulf_of_Gabes_comp; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tyrrhenian_Sea_comp; West_of_Spitsbergen_comp; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 283941 data points
    Location Call Number Expected Availability
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  • 7
    Publication Date: 2024-03-08
    Description: Bulk stable isotope ratios, primarily of carbon (δ13C) and nitrogen (δ15N), are increasingly used to examine predator-prey interactions and food web structure. We compiled δ13C and δ15N values of marine taxa from 56 published sources to support investigations on trophic interactions in mesopelagic food webs and assess the importance of mesopelagic organisms in the marine ecosystem. A total of 2095 records were collected, representing 8716 individual organisms from 349 unique species or genera sampled across the central and Northeast Atlantic, and the Mediterranean Sea, between 1905 and 2020. Records include 185 benthic and pelagic fish, 47 cephalopods, 31 marine mammals, 30 crustaceans, 26 elasmobranchs, 16 seabirds, 4 marine turtles, 4 jelly fish, 3 copepods, 2 salps, in addition to data from several organisms only identified to higher taxonomic ranks (family or above). The dataset includes isotopic ratios measured in the tissues or in the whole body of individual organisms, or mean values (and standard deviations) from pooled samples. Because lipids have more negative δ13C values relative to other major biochemical compounds in plant and animal tissues (DeNiro & Epstein, 1977), many studies correct for the lipid effect by extracting lipids from samples before analysis, or a posteriori, through mathematical corrections (Post, 2002). Therefore, δ13C values were reported as uncorrected, lipid-extracted, or mathematically-corrected. When available, the total organic carbon to nitrogen ratio (C:N) was included. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Azores_comp; Balearic_Sea_comp; Baltimore_comp; Barents_Sea_comp; Bay_of_Biscay_comp; Bay_of_Malaga_comp; Bear_Seamount_comp; Belhaven_beach_comp; Boness_comp; Borve_comp; Brora_Beach_comp; Brue_Isle_of_Lewis_comp; Burntisland_comp; Canary_Islands_comp; Cape_Blanc_comp; Cape_Cod_comp; Cape_Verde_comp; Carbon; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Catalonian_Sea_comp; Celtic_Sea_comp; Cephalopods; Chanonry_comp; Class; Comment; Condor_comp; Crustacea; Culross_comp; Cyprus_Turkey_comp; DEPTH, water; Droman_harbour_comp; Dunnet_Bay_comp; Eilean_Dubh_comp; elasmobranchs; Equatorial_comp; Event label; Eyemouth_comp; Family; fish; Galicia_comp; Gear; Greece_comp; Greenland_comp; Gulf_of_Cadiz_comp; Gulf_of_Lions_comp; HoundPt_SQueensferry_comp; Iberian_Peninsula_comp; Iceland_comp; Institution; Investigator; Isle_Of_Skye_comp; Jellyfish; Kirkcaldy_comp; Labrador_Sea_comp; LATITUDE; Location; Loch_Ewe_comp; Loch_Geshad_comp; LONGITUDE; Madeira_comp; Mains_Of_Usan_comp; Majorca_Minorca_comp; Malacleit_North_Uist_comp; marine mammals; marine turtles; Mauritania_Cape_Verde_comp; Mediterranean_comp; mesopelagic food web; Mid-Atlantic_Bight_comp; Mid-Atlantic_Ridge_comp; Month; Newfoundland_Labrador_comp; nitrogen; North_Ireland_comp; North_Sea_comp; Northeast_Atlantic_comp; Northern_British_Isles_comp; Northernmost_Skerry_comp; Nortwest_Africa_comp; Norwegian_Sea_North_comp; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Port_of_Ness_Lewis_comp; Portugal_comp; Quinish_Mull_Argyll_comp; Record number; Reference/source; Reference of data; Replicates; Rosemarkie_comp; salps; Scotland_comp; Scotland_Wales_comp; Seabirds; Selvagens_comp; Size; South_Glendale_South_Uist_comp; Spain_comp; St_Kilda_comp; Stable isotopes; Strait_of_Gibraltar_comp; SUMMER; Sunamul_comp; Sustainable Management of Mesopelagic Resources; Sweden_comp; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); The_Gut_comp; Tissue Descriptor; US_Virgin_Islands_comp; Village_bay_StKilda_comp; Western_Isles_comp; Year of observation; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 53959 data points
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2024-02-17
    Description: Quantitative data on diet composition is key to understand prey–predator interactions and to parameterize ecosystem models. We compiled estimates of diet proportions from 26 mesopelagic fish species belonging to the families Myctophidae, Sternoptychidae and Gonostomatidae sampled in the central and Northeast Atlantic and Mediterranean Sea between 2009 and 2015. The dataset consists of the proportional contribution (mean ± standard deviation) of each food item (recorded to the lowest possible taxonomic resolution) to the diet of a sample of consumers, estimated from Bayesian stable isotope mixing models. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, type of analyses and estimation method, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Analytical method; Balearic_Sea_comp; Bayesian mixing model; Canary_Islands_comp; Cape_Blanc_comp; Class; Delphinus delphis; DEPTH, water; Diet proportion; Diet proportion, standard deviation; diet proportions; Equatorial_comp; Event label; Family; Gear; LATITUDE; Location; LONGITUDE; Mauritania_Cape_Verde_comp; mesopelagic fish; mesopelagic food web; Method comment; Month; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Prey taxa; Record number; Reference/source; Replicates; Sample ID; Size; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Stable isotopes; Stomach contents; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 6513 data points
    Location Call Number Expected Availability
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  • 9
    Publication Date: 2024-02-17
    Description: Information on the energy density of prey is critical for estimating food requirements and consumption by predators and modelling energy flux through food webs (Van de Putte et al., 2006). We compiled energy density values for 121 marine species or genera from 12 published sources. The dataset encompasses 71 benthic and pelagic fish, 29 crustaceans, 15 cephalopods, 2 elasmobranchs, 2 jelly fish and 1 salp, sampled in the central and Northeast Atlantic and in the Mediterranean Sea between 1992 and 2017. Data were collected from studies that measured energy density directly by bomb calorimetry, and those studies that measured the proximate composition (i.e. the percentage of proteins, lipids and carbohydrates) of sampled tissues and converted these percentages into energy using combustion equivalents reported in the literature. When available, we reported energy density (or mean density, for samples with more than one individual) as a function of dry and wet weight, and the moisture percentage of samples. For each data record, we also provided the sampling location, geographic coordinates, month and year of sample collection, method of sample collection, taxonomic ranks (phylum, class, order, family), number and size (or size range) of sampled organisms, as well as the reference and DOI of the original data source, for further details on the samples analysed and/or the analytical techniques used.
    Keywords: Adour_estuary_comp; Andalusia_comp; Balearic_Sea_comp; Bay_of_Biscay_comp; Catalonian_Sea_comp; Cephalopods; Class; Comment; Crustacea; DEPTH, water; elasmobranchs; energy density; Energy density, per dry mass; Energy density, per dry mass, standard deviation; Energy density, per wet mass; Energy density, per wet mass, standard deviation; Event label; Family; fish; Gear; Gran_Canaria_comp; Gulf_of_Lions_comp; Ionian_Sea_comp; Jellyfish; LATITUDE; Location; LONGITUDE; Moisture; Moisture, standard deviation; Month; North_Sea_comp; Number of individuals; Ocean and sea region; Order; Organisms; Persistent Identifier; Phylum; Port_Said_Governorate_comp; Record number; Reference/source; Reference of data; Replicates; salps; Size; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tissue Descriptor; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 3693 data points
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2024-02-17
    Description: Organisms accumulate major and trace elements (including metals) directly from the external environment and/or indirectly through diet. As such, their elemental composition can help to infer dietary preferences, solve trophic links and/or inform quantitative dietary analysis primarily based on carbon and nitrogen stable isotopes or on fatty acids (Lahaye et al. 2005, Ramos and González-Solís 2012, Soto et al. 2016, Majdi et al. 2018). This dataset reports the total concentrations of 30 major and trace elements analysed in whole bodies or in the muscle tissue of 82 unique species or genera characteristic of meso- to bathypelagic waters (referred as “mesopelagic”) or living on the continental shelf (referred as “other”). The species encompass jellyfish, crustaceans, cephalopods, fish, and were collected in North Atlantic and Mediterranean areas between 1968 and 2018. When available, the sampling method/gear as well as the sampling depth are specified. For the element mercury (Hg), the concentration of organic forms (referred as methyl-Hg) is also given when available, as well the percentage of these organic forms (% methyl-Hg) relative to total Hg. A column specifies whether concentrations are expressed on a dry weight or wet weight basis (weight of the animal tissue after being dried or containing water, respectively). All element concentrations given on a wet weight basis can be converted on a dry weight basis (and vice-versa if necessary) according to the percentages of moisture given for each sample analysed (when available). Data were compiled from 27 published studies/papers for which DOI are indicated, for further details and information on the samples analysed and/or the analytical techniques used.
    Keywords: Aegean_Sea_comp; Algerian_Basin_comp; Aluminium; Aluminium, standard deviation; Antimony; Antimony, standard deviation; Arsenic; Arsenic, standard deviation; Azores_comp; Barium; Barium, standard error; Bay_of_Biscay_comp; Bay_of_Fundy_comp; Boron; Boron, standard deviation; Cadmium; Cadmium, standard deviation; Caesium; Calcium; Calcium, standard deviation; Canary_Islands_comp; Cephalopods; Chromium; Chromium, standard deviation; Class; Cobalt; Cobalt, standard deviation; Comment; Copper; Copper, standard deviation; Crustacea; DEPTH, water; Eastern_Basin_comp; El_Hierro_Canary_Islands_comp; Event label; Family; fish; Fluoride, standard deviation; Fluorine; Gear; Gibraltar_comp; Greenland_Sea_comp; Gulf_of_St_Lawrence_comp; Iberian_Deep_Sea_Plain_comp; inorganic elements; Iodine; Iodine, standard deviation; Ionian_Sea_comp; Iron; Iron, standard error; La_Palma_Canary_Islands_comp; LATITUDE; Lead; Lead, standard deviation; Levantine_Sea_comp; Ligurian_Sea_comp; Lithium; Lithium, standard deviation; Location; LONGITUDE; macro-minerals; Magnesium; Magnesium, standard deviation; Manganese; Manganese, standard deviation; Mercury; Mercury, standard deviation; mesopelagic food web; Methylmercury; Methylmercury, standard deviation; Micro-nutrients; Moisture; Moisture, standard deviation; Molybdenum; Molybdenum, standard deviation; Month; Nickel; Nickel, standard deviation; Northeast_Atlantic_comp; Northern_North_Sea_Atlantic_waters_comp; Norwegian_Sea_North_comp; Number of individuals; NW_Africa_comp; NW_Atlantic_comp; Ocean and sea region; Order; Organisms; Persistent Identifier; Phosphorus; Phosphorus, standard deviation; Phylum; Potassium; Potassium, standard deviation; Record number; Reference/source; Reference of data; Replicate; Sample type; Sargasso_Sea_comp; Selenium; Selenium, standard deviation; Silver; Silver, standard deviation; Size; Sodium; Sodium, standard deviation; Strait_of_Gibraltar_comp; Strontium; Strontium, standard deviation; SUMMER; Sustainable Management of Mesopelagic Resources; Taxon/taxa; Taxon/taxa, unique identification (Semantic URI); Taxon/taxa, unique identification (URI); Tenerife_Canary_Islands_comp; Tissue Descriptor; trace metals; trophic markers; Tyrrhenian_Sea_comp; Vanadium; Vanadium, standard deviation; Western_Basin_comp; Year of observation; Zinc; Zinc, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 8632 data points
    Location Call Number Expected Availability
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