GLORIA

GEOMAR Library Ocean Research Information Access

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Document type
Keywords
Publisher
Years
  • 1
    facet.materialart.
    Unknown
    Mapped cetacean habitat suitability and richness in the Azores, links to ArcGIS files (2016)
    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
    Details
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Foraging data to model energy acquisition and requirements of sperm whales (Physeter macrocephalus) to understand energy-mediated responses to changes in prey structure (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-21
    Description: Information on foraging behaviour is critical for modelling estimations of energy acquisition and requirements of top predators and consequently to predict how animals will be affected and respond to changes in marine ecosystems. We compiled estimates of prey capture attempt rates per hour of 11 female sperm whales, tagged using high-resolution multi-sensor tags (DTAGs, Johnson & Tyack, 2003; Oliveira et al. (2022) for detailed information about the tags and tagging procedures) in the Azores region between 2018 and 2020. These estimates were used in a bioenergetic model to estimate minimum foraging success rate (FSR), i.e., the lowest possible prey capture rate for individuals obtain the minimum energy intake needed to meet daily metabolic requirements (Silva et al., 2024). The model was based on whales' theoretical energetic requirements using foraging and prey characteristics from animal-borne tags and stomach contents, respectively. The present dataset consists of individual identification, location, date of tagging, latitude, longitude, maximum depth water and prey capture attempt rate (rPCA as the number of buzzes) per hour.
    Keywords: Azores; bioenergetics; Biologging; Calculated; DATE/TIME; Digital acoustic recording tag according to Johnson and Tyack (2003); Dive, maximum depth; Dive, number of buzzes, per hour; Dive number; DTAG; Eco-physiology; energy; Event label; Index; Latitude of event; Longitude of event; marine mammal; modelling; Pmacrocephalus_2018_2a; Pmacrocephalus_2018_3a; Pmacrocephalus_2019_4a; Pmacrocephalus_2019_5a; Pmacrocephalus_2019_6a; Pmacrocephalus_2019_7a; Pmacrocephalus_2019_8a; Pmacrocephalus_2020_10a; Pmacrocephalus_2020_12a; Pmacrocephalus_2020_13a; Pmacrocephalus_2020_9a; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; SUMMER; Sustainable Management of Mesopelagic Resources; VID; Visual identification
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Dive characteristics of fin whales (Balaenoptera physalus) instrumented with time-depth recorders off the Azores (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    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 Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 4
    facet.materialart.
    Unknown
    FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic (2023)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Trait-based approaches that complement taxonomic-based studies have increased in popularity among the scientific community over the last decades. The collection of biological and ecological characteristics of species (i.e., traits) provides insight into species and ecosystem vulnerability to environmental and anthropogenic changes, as well as ecosystem functioning. While most of the available trait databases to date contain essential information to understand the functional diversity of a taxonomic group or functional group based on size, the FUN Azores trait database has an ecosystem-based approach that provides a comprehensive assessment of diverse fauna (meio-, macro-, and megafauna) from benthic and pelagic environments in the Azores Marine Park; including ridges, seamounts, and hydrothermal vents. We used a collaborative approach involving 30 researchers with different expertise to develop the trait database; which contains compiled data on 14 traits representing morphological, behavioral, and life history characteristics for 1210 species, across 10 phyla.
    Keywords: Azores; Azores_FUNTraits_2023; FunAzores; functional diversity; Functional traits and ecological processes in the Azores Marine Park : Understanding the biodiversity-ecosystem functioning; hydrothermal deep sea vent; Literature search; Literature survey; Marine Protected Area (MPA); Seamount; trait-based ecology; trait diversity; trait ecology
    Type: Dataset
    Format: text/plain, 1.6 MBytes
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 5
    facet.materialart.
    Unknown
    Stable C and N isotope data for cetacea collected in the Macaronesian region between 1996 and 2018 (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    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 Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 6
    facet.materialart.
    Unknown
    Dive metrics of sperm whales collected between 2017 and 2019 off the Azores, Portugal (2024)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: The development of sophisticated multi-sensor tags incorporating high-resolution movement sensors and hydrophones has enabled unprecedented views of the 3D fine-scale movement behaviour of cetaceans, especially for those species that use sound to forage. However, these tags are expensive, making them inaccessible to most researchers. Time-Depth Recorders (TDRs), which have been widely used to study diving and foraging behaviour of marine mammals, offer a more affordable alternative. Unfortunately, data collected by TDRs are bi-dimensional (time and depth only), so quantifying foraging effort from those data is challenging. Pérez-Jorge et al. (2023) developed a predictive model of prey capture attempts (PCAs) for sperm whales from low-resolution time-depth data. To develop this model, high-resolution movement and acoustic data from 12 sperm whales instrumented with digital acoustic recording tags (Dtags; Johnson et al., 2003; Oliveira et al., 2022) between 2017 and 2019 in the Azores archipelago, Portugal. This data was used to extract time-depth values at a sampling frequency of 1 second (typical sampling rate of low-resolution time-depth data) and detect buzzes, considered to represent PCAs. Based on the extracted time-depth values, a suite of dive metrics (ie., average depth, variance of depth) were obtained for different segment durations (30 seconds, 60 s, 180 s and 300 s). The present dataset includes the extracted dive metrics for the four segment durations selected on the final model of the study (Pérez-Jorge et al., 2023). Data provided for each record include the event number, individual identification, dive identification, date of sampling, latitude, longitude, dive phase, segment duration, number of buzzes, average of water depth per segment, variance of water depth per segment and variance of velocity.
    Keywords: Azores; Calculated; DATE/TIME; Digital acoustic recording tag according to Johnson and Tyack (2003); Dive, duration; Dive, number of buzzes; Dive, phase; Dive, velocity, vertical, variance; Dive/swim depth; Dive/swim depth, variance; Dive number; DTAG; Event label; Index; Latitude of event; Longitude of event; Mean values; Pmacrocephalus_2017_1; Pmacrocephalus_2017_9; Pmacrocephalus_2018_10; Pmacrocephalus_2018_11; Pmacrocephalus_2018_2; Pmacrocephalus_2018_3; Pmacrocephalus_2018_4; Pmacrocephalus_2019_12; Pmacrocephalus_2019_5; Pmacrocephalus_2019_6; Pmacrocephalus_2019_7; Pmacrocephalus_2019_8; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Specimen identification; SUMMER; Sustainable Management of Mesopelagic Resources; VID; Visual identification
    Type: Dataset
    Format: text/tab-separated-values, 170890 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Compilation of trophic positions of marine biota from the central and Northeast Atlantic, and the Mediterranean Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-27
    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 Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Compilation of stomach content data for mesopelagic fish and predator species from the central and Northeast Atlantic, and the Mediterranean Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-27
    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 Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 9
    facet.materialart.
    Unknown
    Compilation of major and trace element concentrations in mesopelagic and other species from the North Atlantic and the Mediterranean Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-27
    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 Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Compilation of diet proportions of mesopelagic fish from the central and Northeast Atlantic, and the Mediterranean Sea (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-27
    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 Limitation Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...