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  • 14. Life underwater

  • Authors: GBIF.Org User;

    A dataset listing the 97388 species recorded in GBIF matching the query: { "and" : [ "Country is Ecuador", "OccurrenceStatus is Present" ] } The dataset's 97388 records were derived from 1952 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013950-230224095556074/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: GBIF.Org User;

    A dataset containing 21034 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is Gulo gulo (Linnaeus, 1758)", "HasCoordinate is TRUE" ] } The dataset includes 21034 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008480-180508205500799/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Orio, Alessandro; Bergström, Ulf; Florin, Ann-Britt; Lehmann, Andreas; +2 Authors

    Aim: The interdependencies between trophic interactions, environmental factors and anthropogenic forcing determine how species distributions change over time. Large changes in species distributions have occurred as a result of climate change. The objective of this study was to analyse how the spatial distribution of cod and flounder have changed in the Baltic Sea during the past four decades characterized by large hydrological changes. Location: Baltic Sea Taxon: Cod (Gadus morhua) and flounder (Platichthys flesus) Methods: Catch per unit of effort (CPUE) data for adult and juvenile cod and for adult flounder were modelled using Delta-Generalized additive models including environmental and geographical variables between 1979 and 2016. From the annual CPUE predictions for each species, yearly distribution maps and depth distribution curves were obtained. Mean depth and the depth range were estimated to provide an indication on preferred depth and habitat occupancy. Results: Adult and juvenile cod showed a contraction in their distribution in the southern areas of the Baltic Sea. Flounder, instead, showed an expansion in its distribution with an increase in abundance in the northern areas. The depth distributions showed a progressive shift of the mean depth of occurrence towards shallower waters for adult cod and flounder and towards deeper waters for juvenile cod, as well as a contraction of the species depth ranges, evident mainly from the late 1980s. Main conclusions: Our study illustrates large changes in the spatial distribution of cod and flounder in the Baltic Sea. The changes in depth distribution occurred from the late 1980s are probably due to a combination of expanded areas of hypoxia in deep waters and an increase in predation risk in shallow waters. The net effect of these changes is an increased spatial overlap between life stages and species, which may amplify cod cannibalism and the interaction strength between cod and flounder. Data_cod_flounderAdult cod, juvenile cod and flounder CPUE data (in grams). The datasets contain also the associated bottom temperature, salinity and oxygen concentration of each haul as well as the latitude and longitude in decimal degrees.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; ZENODO
    Dataset . 2019
    License: CC 0
    Data sources: ZENODO; Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DANS-EASY
    Dataset . 2019
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; ZENODO
      Dataset . 2019
      License: CC 0
      Data sources: ZENODO; Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2019
      Data sources: B2FIND
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  • Authors: GBIF.Org User;

    A dataset containing 66 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Elacatinus chancei (Beebe & Hollister, 1933)" ] } The dataset includes 66 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047284-220831081235567/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: GBIF.Org User;

    A dataset containing 723 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Observation", "BasisOfRecord is Human Observation" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)", "Year 1960-2021" ] } The dataset includes 723 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200796-200613084148143/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: GBIF.Org User;

    A dataset containing 36112 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Cobitis taenia Linnaeus, 1758, Lethenteron zanandreai (Vladykov, 1955))", "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))", "HasCoordinate is true", "HasGeospatialIssue is false", "Year is greater than or equal to 1980", "Year is less than or equal to 2021" ] } The dataset includes 36112 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163652-210914110416597/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: Rolling Deck To Repository;

    Original (unprocessed) data collected during a Field_expedition

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  • Authors: GBIF.Org User;

    A dataset containing 41 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Periclimenaeus wilsoni (Hay, 1917)" ] } The dataset includes 41 records from 11 constituent datasets: 1 records from INSDC Sequences. 1 records from Biodiversity Research and Teaching Collections - TCWC Marine Invertebrates. 12 records from NMNH Extant Specimen Records (USNM, US). 1 records from Référentiel taxonomique national (TAXREF) - Inventaire des Collectivités d'outre-mer et de la métropole (ICOM_15) issu des données biogéographiques de TAXREF v15. 2 records from Marine Invertebrate voucher specimens at the Florida Biodiversity Collection, Florida Fish and Wildlife Conservation Commission. 1 records from CNCR/Colección Nacional de Crustaceos. 1 records from Référentiel taxonomique national (TAXREF) - Inventaire des Collectivités d'outre-mer et de la métropole (ICOM_14) issu des données biogéographiques de TAXREF v14. 1 records from Naturalis Biodiversity Center (NL) - Crustacea. 14 records from A new species of shrimp of the genus Periclimenaeus Borradaile, 1915 (Decapoda: Caridea: Palaemonidae) from the southeastern Gulf of Mexico, including a key to the western Atlantic species of the genus. 3 records from Museum of Comparative Zoology, Harvard University. 4 records from The crustaceans collection (IU) of the Muséum national d'Histoire naturelle (MNHN - Paris). Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • The Pro-Oceanus GTD 24-036-07 was deployed on 2012-08-12 at Patricia Bay. Patricia Bay is located in the Saanich Inlet, on the southern tip of Vancouver Island. This device is a Gas Tension Device. Gas Tension Device (GTD) instruments measure gas tension, or total dissolved gas pressure. The total dissolved gas pressure in seawater is the sum of the partial pressures of all dissolved gases. The GTD operates by equilibrating a small volume of air trapped behind a semi-permeable membrane that is resistant to seawater. When the air sample is isolated from hydrostatic pressure, the measured pressure is solely from the gases in the seawater. This internal pressure is measured using a very stable pressure sensor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.

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  • Authors: GBIF.Org User;

    A dataset containing 12217 species occurrences available in GBIF matching the query: { "and" : [ "OccurrenceStatus is Present", "TaxonKey is Orcinus orca (Linnaeus, 1758)", "Year 2003-2023" ] } The dataset includes 12217 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246076-230224095556074/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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483,940 Research products
  • Authors: GBIF.Org User;

    A dataset listing the 97388 species recorded in GBIF matching the query: { "and" : [ "Country is Ecuador", "OccurrenceStatus is Present" ] } The dataset's 97388 records were derived from 1952 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013950-230224095556074/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: GBIF.Org User;

    A dataset containing 21034 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is Gulo gulo (Linnaeus, 1758)", "HasCoordinate is TRUE" ] } The dataset includes 21034 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008480-180508205500799/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Orio, Alessandro; Bergström, Ulf; Florin, Ann-Britt; Lehmann, Andreas; +2 Authors

    Aim: The interdependencies between trophic interactions, environmental factors and anthropogenic forcing determine how species distributions change over time. Large changes in species distributions have occurred as a result of climate change. The objective of this study was to analyse how the spatial distribution of cod and flounder have changed in the Baltic Sea during the past four decades characterized by large hydrological changes. Location: Baltic Sea Taxon: Cod (Gadus morhua) and flounder (Platichthys flesus) Methods: Catch per unit of effort (CPUE) data for adult and juvenile cod and for adult flounder were modelled using Delta-Generalized additive models including environmental and geographical variables between 1979 and 2016. From the annual CPUE predictions for each species, yearly distribution maps and depth distribution curves were obtained. Mean depth and the depth range were estimated to provide an indication on preferred depth and habitat occupancy. Results: Adult and juvenile cod showed a contraction in their distribution in the southern areas of the Baltic Sea. Flounder, instead, showed an expansion in its distribution with an increase in abundance in the northern areas. The depth distributions showed a progressive shift of the mean depth of occurrence towards shallower waters for adult cod and flounder and towards deeper waters for juvenile cod, as well as a contraction of the species depth ranges, evident mainly from the late 1980s. Main conclusions: Our study illustrates large changes in the spatial distribution of cod and flounder in the Baltic Sea. The changes in depth distribution occurred from the late 1980s are probably due to a combination of expanded areas of hypoxia in deep waters and an increase in predation risk in shallow waters. The net effect of these changes is an increased spatial overlap between life stages and species, which may amplify cod cannibalism and the interaction strength between cod and flounder. Data_cod_flounderAdult cod, juvenile cod and flounder CPUE data (in grams). The datasets contain also the associated bottom temperature, salinity and oxygen concentration of each haul as well as the latitude and longitude in decimal degrees.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; ZENODO
    Dataset . 2019
    License: CC 0
    Data sources: ZENODO; Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DANS-EASY
    Dataset . 2019
    Data sources: B2FIND
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; ZENODO
      Dataset . 2019
      License: CC 0
      Data sources: ZENODO; Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2019
      Data sources: B2FIND
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  • Authors: GBIF.Org User;

    A dataset containing 66 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Elacatinus chancei (Beebe & Hollister, 1933)" ] } The dataset includes 66 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047284-220831081235567/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: GBIF.Org User;

    A dataset containing 723 species occurrences available in GBIF matching the query: { "and" : [ { "or" : [ "BasisOfRecord is Observation", "BasisOfRecord is Human Observation" ] }, "HasCoordinate is true", "HasGeospatialIssue is false", "OccurrenceStatus is Present", "TaxonKey is Carcharodon carcharias (Linnaeus, 1758)", "Year 1960-2021" ] } The dataset includes 723 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0200796-200613084148143/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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  • Authors: GBIF.Org User;

    A dataset containing 36112 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is one of (Cobitis taenia Linnaeus, 1758, Lethenteron zanandreai (Vladykov, 1955))", "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))", "HasCoordinate is true", "HasGeospatialIssue is false", "Year is greater than or equal to 1980", "Year is less than or equal to 2021" ] } The dataset includes 36112 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163652-210914110416597/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

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    Original (unprocessed) data collected during a Field_expedition

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    This Research product is the result of merged Research products in OpenAIRE.

    You have already added works in your ORCID record related to the merged Research product.