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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: Fortier, Daniel; Bouchard, Frédéric;

    Un scanner tomodensitométrique (CT-scan) a été utilisé (août 2015) pour l'analyse d'une carotte de sédiments lacustres de 109 cm provenant d'un lac de thermokarst à l'Île Bylot, Nunavut, Canada. La carotte a été prélevée en juin 2015 au « Lac aux Goélands » (aussi nommé BYL-66 dans d'autres publications) à partir du couvert de glace encore présent à l'aide d'un carottier à percussion de 7 cm de diamètre (Aquatic Research Instruments). La carotte a été scannée au Centre Eau Terre Environnement de l'Institut national de la recherche scientifique (INRS-ETE). Computed tomographic (CT) scanning was used (August 2015) to analyze a 109 cm-long lake sediment core from a thermokarst lake in Bylot Island, Nunavut, Canada. The core was collected in June 2015 at « Gull Lake » (also named BYL-66 in other publications) from the still-present ice cover with a 7 cm-diameter percussion corer (Aquatic Research Instruments). The core was scanned at Centre Eau Terre Environnement of the Institut national de la recherche scientifique (INRS-ETE).

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    Authors: Alberta Energy Regulator;

    All available bathymetry and related information for Bonnie Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

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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/ Federated Research D...arrow_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/
      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/
  • 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: National Ecological Observatory Network (NEON);

    The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps. Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.

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    https://doi.org/10.48443/1yw7-...
    Dataset . 2021
    License: CC 0
    Data sources: Datacite
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      https://doi.org/10.48443/1yw7-...
      Dataset . 2021
      License: CC 0
      Data sources: Datacite
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  • Authors: White, Scott; Yogodzinski, Gene;

    This data set was acquired with a ship-based Kongsberg EM300 Multibeam Sonar system during Thomas G. Thompson expedition TN182 conducted in 2005 (Chief Scientists: Gene Yogodzinski and Scott White). The data files are in NetCDF Grid format, include Bathymetry data gridded at 50m horizontal resolution, and were processed after data collection. They were acquired as part of the project called Primitive Magmatism and Crustal Genesis in an Island Arc, and funding was provided by NSF grants OCE02-42585, and OCE05-33226.

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  • Authors: Cande, Steve; Stock, Joann;

    This data set was acquired with a ship-based Kongsberg EM120 Multibeam Sonar system, Thermosalinograph, Navigation system, Meteorological Sensor, and Fluorometer during Nathaniel B. Palmer expedition NBP0607A conducted in 2006 (Chief Scientist: Dr. Marcel Croon; Investigator(s): Dr. Steve Cande and Dr. Joann Stock). These data files are of JGOFS format and include Navigation, Bathymetry, Conductivity, Fluorescence, Temperature, Infrared Radiation, Meteorological, Salinity, and Visible Radiation data. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input. Data were acquired as part of the project(s): Late Cretaceous and Cenozoic Reconstructions of the Southwest Pacific, and funding was provided by NSF grant(s): ANT03-38317 and OPP03-38346.

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  • Authors: Watters, George;

    This data set was acquired with a ship-based Thermosalinograph, Navigation system, Echosounder Sonar, Fluorometer, and Meteorological Sensor during Nathaniel B. Palmer expedition NBP1309 conducted in 2013 (Chief Scientist: Dr. George Watters). These data files are of JGOFS format and include Bathymetry, Infrared Radiation, Salinity, Conductivity, Fluorescence, Navigation, Visible Radiation, Meteorological, and Temperature data. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input.

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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: Lougheed, Stephen;

    The data recorded was cleaned using Depthstar with the 'Smart Filters' Sonar Threshold set to 0.1 and the Moving Average Threshold set to 0.5. Additional anomalies that were not cleaned by the 'Smart Filters' were deleted manually. The data was georeferenced with the Sound Reduction Method set to WLRS, Sound Velocity Correction set to Nearest in Time and Position Source set to Precise Point Positioning. The cleaned data points were first processed by TIN to Raster to produce a smoother layer before interpolation. The resulting layer was then interpolated using Natural Neighbour in Spatial Analyst with the cell size left optional. The cleaned data points were first processed by TIN to Raster to produce a smoother layer before interpolation. The resulting layer was then interpolated using Natural Neighbour in Spatial Analyst with the cell size left optional. This raster shows a large portion of Lake Opinicon's bathymetry and can be used in studies requiring precise depths of the lake. The raster has a cell size of 3 and 3 meters and was created using the Hydroball medium-shallow model. The points were then interpolated into a raster in ArcMap using Natural Neighbour (Spatial Analyst).

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    Borealis
    Dataset . 2020
    Data sources: Datacite
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      Borealis
      Dataset . 2020
      Data sources: Datacite
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  • Authors: Glazer, Brian;

    This processed bathymetry data set for the Loihi Seamount FeMO and Shinkai Deep hydrothermal sites was collected during Sentry AUV dives Sentry168, Sentry265, Sentry266, Sentry269, and Sentry270. The data files are in GMT-compatible netCDF grid format and contain swath bathymetry data gridded at 2-meter horizontal resolution in geographic coordinates. The dives were conducted during the 2013 R/V Thompson cruise TN293 and the 2014 R/V Falkor cruise FK140625. Funding was provided by NSF awards OCE10-31947 and OCE10-61827 and by the Schmidt Ocean Institute. The AUV was operated by WHOI:NDSF and the data files were reprocessed by Jennifer Paduan (MBARI).

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    Authors: Hoving, Henk-Jan T; Boetius, Antje; Dunlop, Katherine; Greinert, Jens; +8 Authors

    During RV SONNE cruise SO242/2 (September 2015) to the DISCOL site in the Peru Basin (SE Pacific), pyrosome carcasses were collected at the seafloor. Aboard, these carcasses were stored frozen and in the lab on land, they were freeze-dried and ground to fine powder. Their carbon and nitrogen content, δ13C and δ15N were measured on an elemental analyzer coupled with a isotope ratio mass spectrometer (EA-c-IRMS).

    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/ PANGAEA - Data Publi...arrow_drop_down
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    PANGAEA
    Dataset . 2022
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2022
      Data sources: B2FIND
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Pizzolato, Larissa; Dawson, Jackie; Copeland, Luke;

    Ship tracks were reconstructed based on observed transits through the Northern Canada Vessel Traffic Services Zone (NORDREG) from 1990 to 2015 using a Least Cost Pathway (LCP) approach. The dataset is based on the daily positional data that has been reported to the Canadian Coast Guard by vessels traveling in the NORDREG zone. Reporting is not mandatory for all vessels, but there is a 98% reported compliance rate. The vessel types were re-classified based on Arctic Marine Shipping Assessment (AMSA) vessel classification categories (Bulk carriers, Fishing Vessels, General Cargo, Government Vessels and Icebreakers, Oil/Gas Exploration/Exploitation, Passenger Ships, Pleasure Crafts, Tanker Ships, and Tug/Barges). A single voyage was determined as each time a single vessel entered and exited the NORDREG zone. The weighted cost surface was generated based on a scale of 0 for least impedance to vessels to 100 for most. The criterion used were: sea ice concentration, bathymetry, and distance from land. See: Pizzolato, L. Howell, S.E.L., Dawson, J. Laliberté, F., Copland, L (2016). The influence of declining sea ice in on shipping activity in the Canadian Arctic. Geophysical Research Letters. 43: 12,146-12,154 doi:10.1002/2016GL071489 for description of methods.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Federated Research D...arrow_drop_down
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Federated Research D...arrow_drop_down
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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: Fortier, Daniel; Bouchard, Frédéric;

    Un scanner tomodensitométrique (CT-scan) a été utilisé (août 2015) pour l'analyse d'une carotte de sédiments lacustres de 109 cm provenant d'un lac de thermokarst à l'Île Bylot, Nunavut, Canada. La carotte a été prélevée en juin 2015 au « Lac aux Goélands » (aussi nommé BYL-66 dans d'autres publications) à partir du couvert de glace encore présent à l'aide d'un carottier à percussion de 7 cm de diamètre (Aquatic Research Instruments). La carotte a été scannée au Centre Eau Terre Environnement de l'Institut national de la recherche scientifique (INRS-ETE). Computed tomographic (CT) scanning was used (August 2015) to analyze a 109 cm-long lake sediment core from a thermokarst lake in Bylot Island, Nunavut, Canada. The core was collected in June 2015 at « Gull Lake » (also named BYL-66 in other publications) from the still-present ice cover with a 7 cm-diameter percussion corer (Aquatic Research Instruments). The core was scanned at Centre Eau Terre Environnement of the Institut national de la recherche scientifique (INRS-ETE).

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    Authors: Alberta Energy Regulator;

    All available bathymetry and related information for Bonnie Lake were collected and hard copy maps digitized where necessary. The data were validated against more recent data (Shuttle Radar Topography Mission 'SRTM' imagery and Indian Remote Sensing 'IRS' imagery) and corrected where necessary. The published data set contains the lake bathymetry formatted as an Arc ascii grid. Bathymetric contours and the boundary polygon are available as shapefiles.

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    Authors: National Ecological Observatory Network (NEON);

    The Bathymetric and Morphological Map data product provides depths of lakes and non-wadeable streams (rivers), sediment and substrate characteristics, as well as the presence or absence, approximate abundance, distribution, and size of underwater flora. High accuracy depth (bathymetric) maps are obtained using a suite of hydroacoustic instrumentation interfaced with a differential global positioning system (DGPS) mounted on a vessel. The Wide Area Augmentation System (WAAS) is a form of DGPS that provides enhanced position accuracy (<3 m). Acoustic images of biota, substrate, and benthic structures are obtained with side scan sonar which are georeferenced and mosaicked in post-processing. The data provided in this file are raw sonar data files with little or no post processing that were collected but not used to develop bathymetric or habitat maps. Sonar data collected from NEON lake and river sites using a Humminbird 1198c SI Combo with sonar and side imaging capability. Refer to the AOS Protocol and Procedure: Bathymetry and Morphology of Lakes and Non-Wadeable Streams [NEON.DOC.001197] for additional details regarding the spatio-temporal study design.

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    https://doi.org/10.48443/1yw7-...
    Dataset . 2021
    License: CC 0
    Data sources: Datacite
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      https://doi.org/10.48443/1yw7-...
      Dataset . 2021
      License: CC 0
      Data sources: Datacite
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  • Authors: White, Scott; Yogodzinski, Gene;

    This data set was acquired with a ship-based Kongsberg EM300 Multibeam Sonar system during Thomas G. Thompson expedition TN182 conducted in 2005 (Chief Scientists: Gene Yogodzinski and Scott White). The data files are in NetCDF Grid format, include Bathymetry data gridded at 50m horizontal resolution, and were processed after data collection. They were acquired as part of the project called Primitive Magmatism and Crustal Genesis in an Island Arc, and funding was provided by NSF grants OCE02-42585, and OCE05-33226.

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  • Authors: Cande, Steve; Stock, Joann;

    This data set was acquired with a ship-based Kongsberg EM120 Multibeam Sonar system, Thermosalinograph, Navigation system, Meteorological Sensor, and Fluorometer during Nathaniel B. Palmer expedition NBP0607A conducted in 2006 (Chief Scientist: Dr. Marcel Croon; Investigator(s): Dr. Steve Cande and Dr. Joann Stock). These data files are of JGOFS format and include Navigation, Bathymetry, Conductivity, Fluorescence, Temperature, Infrared Radiation, Meteorological, Salinity, and Visible Radiation data. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input. Data were acquired as part of the project(s): Late Cretaceous and Cenozoic Reconstructions of the Southwest Pacific, and funding was provided by NSF grant(s): ANT03-38317 and OPP03-38346.

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  • Authors: Watters, George;

    This data set was acquired with a ship-based Thermosalinograph, Navigation system, Echosounder Sonar, Fluorometer, and Meteorological Sensor during Nathaniel B. Palmer expedition NBP1309 conducted in 2013 (Chief Scientist: Dr. George Watters). These data files are of JGOFS format and include Bathymetry, Infrared Radiation, Salinity, Conductivity, Fluorescence, Navigation, Visible Radiation, Meteorological, and Temperature data. This data set was created from calibrated data decimated at 1-minute intervals. Several fields are derived measurements from more than a single raw input.

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