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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Marine mammal science 17 (2001), S. 0 
    ISSN: 1748-7692
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Marine mammal science 18 (2002), S. 0 
    ISSN: 1748-7692
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: We studied the operational and ecological interactions between cetaceans and the tuna-fishery in the Azores, based on reports of observers placed on board tuna fishing vessels from 1998 to 2000. Data were collected during 617 fishing trips (representing 43% of total fishing trips) and 6,554 fishing events. Cetaceans were present during 〈10% of the observed fishing events, with common dolphins (Delphinus delphis) accounting for 78% of the occurrences. The presence of cetaceans during fishing varied both spatially and temporally, depending on the distribution of fishing effort and on the pattern of occurrence of each cetacean species in the region. Overall, cetaceans interfered in 5% of the fishing events. This interference resulted in a higher proportion of events with no catches. In the three years, 49 dolphins were caught in the fishing lines but were released alive, although it is impossible to determine if they survived the interaction. Annual estimates of incidental capture of cetaceans by all the tuna fleet were calculated based on total tuna landings. An estimated 55 dolphins were captured in 1999, 38 in 1998, and 16 in 2000. Overall, our results suggest a low level of interaction between cetaceans and this fishery.
    Type of Medium: Electronic Resource
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  • 3
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Tobeña, Marta; Prieto, Rui; Machete, Miguel; Silva, Mónica A (2016): Modelling the potential distribution and richness of cetaceans in the Azores from Fisheries Observer Program Data. Frontiers in Marine Science, 3, 202-?, https://doi.org/10.3389/fmars.2016.00202
    Publication Date: 2023-01-13
    Description: Marine spatial planning and ecological research call for high-resolution species distribution data. However, those data are still not available for most marine large vertebrates. The dynamic nature of oceanographic processes and the wide-ranging behavior of many marine vertebrates create further difficulties, as distribution data must incorporate both the spatial and temporal dimensions. Cetaceans play an essential role in structuring and maintaining marine ecosystems and face increasing threats from human activities. The Azores holds a high diversity of cetaceans but the information about spatial and temporal patterns of distribution for this marine megafauna group in the region is still very limited. To tackle this issue, we created monthly predictive cetacean distribution maps for spring and summer months, using data collected by the Azores Fisheries Observer Programme between 2004 and 2009. We then combined the individual predictive maps to obtain species richness maps for the same period. Our results reflect a great heterogeneity in distribution among species and within species among different months. This heterogeneity reflects a contrasting influence of oceanographic processes on the distribution of cetacean species. However, some persistent areas of increased species richness could also be identified from our results. We argue that policies aimed at effectively protecting cetaceans and their habitats must include the principle of dynamic ocean management coupled with other area-based management such as marine spatial planning.
    Keywords: Analytical method; Azores; Biological sample; BIOS; CetaceanMaxentAzores; DATE/TIME; File content; File format; File name; File size; ORDINAL NUMBER; Type; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 847 data points
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  • 4
    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
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  • 5
    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
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  • 6
    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
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  • 7
    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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  • 8
    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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  • 9
    Publication Date: 2024-02-05
    Description: This dataset provides the values of stable carbon and nitrogen stable isotopes in bulk muscle samples of 11 species of cetacea from the Macaronesian regions (Canary, Madeira, and Azores Islands) collected between 1996 and 2018. The values of nitrogen stable isotopes in amino acids of muscle samples of the common dolphin (Delphinus delphis) were also provided. The samples were collected from stranded animals by trained personnel. Cetacean samples were obtained from necropsies of stranded cetaceans following a standard protocol defined by the European Cetacean Society (after Kuiken and García Hartmann 1991). Additional data included body length, age (adult, juvenile) and sex for each animal, along with carbon, nitrogen, and lipid content of muscle samples. Isotope data for bulk samples included values for samples with and without lipids. Exact latitude and longitude coordinates for each sample are not available, geographical position of the center of a circle including each island is given instead. Samples were freeze dried or dried (60°C, 48h) before analysis. Stable isotopes in bulk muscle samples were analysed in an isotope-ratio mass spectrometer coupled to an elemental analyser. Aliquots of each sample were analysed whole or after lipid extraction with trichloromethane:methanol (Bligh and Dyer, 1959). Stable nitrogen isotopes in amino acids were analysed after hydrolisis and derivatization of samples in an isotope-ratio mass spectrometer coupled to a gas chromatograph. Details on the analytical procedures can be found in Bode et al. (2021).
    Keywords: Alanine; Alanine, δ15N; Area/locality; Aspartamine and Aspartic acid; Aspartamine and Aspartic acid, δ15N; Atlantic spotted dolphin; bottlenose dolphin; Bryde's whale; Calculated; Carbon, total; Carbon/Nitrogen ratio; Carbon isotopes; Cetacea_Faial; Cetacea_Fuerteventura; Cetacea_Gran_Canaria; Cetacea_La_Gomera; Cetacea_La_Graciosa; Cetacea_La_Palma; Cetacea_Lanzarote; Cetacea_Madeira; Cetacea_Pico; Cetacea_Porto_Santo; Cetacea_Sao_Miguel; Cetacea_Tenerife; Cetacea_Terceira; common dolphin; Cuvier's beaked whale; DATE/TIME; DEPTH, water; Elemental analyser - isotope ratio mass spectrometry; Event label; Faial, Azores Islands, Portugal; fin whale; Fuerteventura, Canary Islands, Spain; Gas chromatography - Isotope ratio mass spectrometer (GC-IRMS); Glutamine and Glutamic acid; Glutamine and Glutamic acid, δ15N; Glycine; Glycine, δ15N; Gran Canaria, Canary Islands, Spain; GRAV; Gravimetry; Isoleucine; Isoleucine, δ15N; La Gomera, Canary Islands, Spain; La Graciosa, Canary Islands, Spain; Lanzarote, Canary Islands, Spain; La Palma, Canary Islands, Spain; Latitude of event; Length, total; Leucine; Leucine, δ15N; Life stage; Lipids; Location; Longitude of event; Lysine; Lysine, δ15N; Madeira, Madeira Islands, Portugal; Methionine; Methionine, δ15N; Necropsy after Kuiken and García Hartmann (1991); Nitrogen, total; nitrogen isotopes; Phenylalanine; Phenylalanine, δ15N; Pico, Azores Islands, Portugal; Porto Santo, Madeira Islands, Portugal; Proline; Proline, δ15N; pygmy sperm whale; Risso's dolphin; Sample ID; Sao Miguel, Azores Islands, Portugal; Serine; Serine, δ15N; Sex; short-finned pilot whale; Species; Species code; sperm whale; Stable isotopes; striped dolphin; SUMMER; Sustainable Management of Mesopelagic Resources; Tape measure; Tenerife, Canary Islands, Spain; Terceira, Azores Islands, Portugal; Threonine; Threonine, δ15N; Uniform resource locator/link to reference; Valine; Valine, δ15N; Visual observation; Year of observation; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 2379 data points
    Location Call Number Expected Availability
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  • 10
    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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