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  • Authors: Stuckey, Jason; Noguera, Jorge; Bogardus, Reyce; McPherson, Rowan;

    Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.

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    Authors: Kane, Ian; Clare, Michael; Miramontes, Elda; Wogelius, Roy; +3 Authors

    EMODNET Bathymetry is available from this link: https://portal.emodnet-bathymetry.eu/ P90 bed shear stress, near bed velocity and velocity vectors used to create all graphs in the manuscript are named BSS (.tfw, .tif. and .xml), speed (.tfw, .tif, .xml) and velocity vectors (.dbf, .prj, .sbn, .sbx, .shp, .xml,.shx) respectively. FTIR data are here recorded in csv and sp files. Microplastic samples were randomly chosen from the confirmed plastics recorded in the samples; this is not intended as a complete data set or analysis, rather just a snapshot of plastic types in the samples. Grain Size data were established using laser diffraction analysis at the Univeristy of Manchester. Pdf files 1-8 Microplastic counts and colours are listed here: 'MP data' excel spreadsheet The artistic block diagram is included here and should be referred to appropriately, using the citation (Kane et al.) and doi. While microplastics are known to pervade the global seafloor, the processes that control their dispersal and concentration in the deep sea remain largely unknown. Here we show that thermohaline-driven currents, which build extensive seafloor sediment accumulations, can control the distribution of microplastics and create hotspots of up to 1.9 million pieces m^2. This is the highest reported value for any seafloor setting, globally. Previous studies propose that microplastics are transported to the seafloor by vertical settling from surface accumulations; instead we demonstrate that the spatial distribution and ultimate fate of microplastics is strongly controlled by near-bed thermohaline currents (bottom currents). These currents are known to supply oxygen and nutrients to deep sea benthos suggesting that deep sea biodiversity hotspots are also likely to be microplastic hotspots. See methods above. Any questions, please direct them to ian.kane@manchester.ac.uk

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    DRYAD; ZENODO
    Dataset . 2020
    License: CC 0
    Data sources: Datacite; ZENODO
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      DRYAD; ZENODO
      Dataset . 2020
      License: CC 0
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    Authors: Queen's University Biological Station (QUBS);

    Long Lake is located on the Pangman Tract (Concession 14, Lots 8-10; Concession 15, Lots 9-10 of South Frontenac Township, Frontenac County). Mean depth = 6.8 m; maximum depth = 26.0 m; surface area = 15.5 ha; shoreline = 2767.3 m. Long Lake has a single source of inflow on its east shore. There are no known outflows.

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    Authors: Alberta Energy Regulator;

    All available bathymetry and related information for Astotin 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: Monzier, M.; Collot, J. Y.; Daniel, J.;

    1. Carte bathymétrique des parties centrale et méridionale de l'arc insulaire des Nouvelles-Hébrides et du bassin Nord-Fidjien. / Monzier, M.; Collot, J. Y.; Daniel, J.; Scale of 1:3 345 000 to 1:1 063 346. Date of publication: 1984. (files: 01853RC_IRD_VUT_BAME_1984_1063346_IRD_VUT_BAME_1984_3345000-1063346.tif, 01853RC_IRD_VUT_BAME_1984_3345000_IRD_VUT_BAME_1984_3345000-1063346.tif)

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    Authors: Alison Copeland; Evan Edinger; Mallory Carpenter; Tanya Brown; +1 Authors

    The Canadian Hydrographic Service (CHS) conducted a multibeam sonar survey of Nachvak and Saglek in 2003 and 2007 using the CCGS Matthew and hydrographic launch CSL Plover. Multibeam data was collected in 2006 and made available to us through ArcticNet. The CHS and ArcticNet multibeam surveys were processed and combined into a continuous coverage. Ground-truth sampling, conducted in August 2007 and 2009, collected benthic sediment and biota samples from 165 sites. 148 sites were sampled by video transects. Towed video transects were also collected at 11 nearshore sites.

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  • Authors: Hodgson, Dominic; Jordan, Tom; de Rydt, Jan; Fretwell, Peter; +5 Authors

    This gridded dataset contains the revised bathymetry model beneath the Brunt Ice Shelf and Stancomb-Wills Glacier Tongue, Antarctica, The revised bathymetric model integrates existing direct bathymetry observations and free air gravity anomaly data to provide the best possible estimate of sub-ice shelf bathymetry. The input direct bathymetric/topographic observations, observation locations, and the input free air compilation are also available as additional separate grid files. All files are provided in NetCDF format in Antarctic Polar Stereographic (EPSG:3031) projection with a horizontal resolution of 2km. The output bathymetry model (Final_adjusted_topography.nc), input topographic observations (Topographic_value_grid.nc) and input topographic observation coverage (Topographic_observation_coverage.nc) have elevation values of metres, positive upwards. The input free air gravity anomaly grid (Brunt_FAA_compilation_grid.nc) has values of mGal. The bathymetric model was produced for the paper of Hodgson et al., (2019) investigating the past and future dynamics of the Brunt Ice Shelf. The publication reference is; Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018. Data quality issues are described in the methods chapter of:- Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018. Data lineage is described in the methods chapter of:- Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018.

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    Authors: Alberta Energy Regulator;

    All available bathymetry and related information for Dillberry 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: St.Laurent, Louis;

    This data set was acquired with a ship-based Gravimeter and Subbottom Profiler during Nathaniel B. Palmer expedition NBP1310A conducted in 2013 (Chief Scientist: Dr. Louis St.Laurent). TThese data files are of MGD77 format and include Bathymetry, Gravity (Field and Free Air Anomaly) data that were processed during the cruise. Funding was provided by NSF grant(s): OCE12-32962

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    Authors: Trevor Bell; Ben Misiuk; Alec Aitken; Beth Cowan; +1 Authors

    Multi-beam sonar data have been collected by the GN vessel MV Nuliajuk in four regions of interest on the eastern side of Broughton Island: the Islands, Kingnelling Fjord, North Baffin, and South Broughton. The 2014 ground-truthing yielded 74 biological samples, 46 sediment samples, and 7 hours of video transects (collected using Van Veen grab and underwater camera, respectively). The 2015 season yielded 119 biological and sediment samples, and nearly 9 hours of video transects (same methods as above). Substrates in the Islands region were primarily cobble/boulder with some sand in the northern portion, housing large populations of clams. Many of the Kingnelling Fjord sites were dominated by cobbles, but the eastern portion was sandy with cobble outcrop, with moderate to dense clam population. North Baffin was generally sandy with boulder outcrop and was relatively devoid of benthic macro organisms. South Broughton was highly variable with cobble/boulder areas and sand with moderate clam abundance. Once ground-truth data from these sites have been compiled, they will be cross-referenced with multibeam data to designate habitat classifications with respect to Mya spp. in the designated regions of interest. The resulting benthic habitat map of Qikiqtarjuaq represents a collaborative effort between the GN, MhMg and local harvesters.

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  • Authors: Stuckey, Jason; Noguera, Jorge; Bogardus, Reyce; McPherson, Rowan;

    Toolik Field Station is located in the foothills of the Brooks Range on Alaska's North Slope and is administered by the Institute of Arctic Biology at the University of Alaska Fairbanks (UAF). Toolik Field Station was first established to support an aquatic program designed to obtain base-line data on the North Slope and inland coastal ponds in 1975. Research has expanded over the years to include terrestrial, atmospheric, vertebrate and other taxa, making Toolik home to a long running and diversified body of arctic ecology. The station currently supports a long-standing and rapidly expanding community of scientists and research projects representing individual and collaborative efforts from United States and international institutions. Growth of Toolik-based science, the number of researchers, and the facility from a tented camp to a research station prompted the establishment of the Toolik GIS (Geographical Information Systems) and Remote Sensing (RS) Program as part of the 5 year Cooperative Agreement between the National Science Foundation (NSF) and the Institute of Arctic Biology, University of Alaska Fairbanks in 2001 (NSF Award Number 9981914). The mission of this Program is to facilitate and enhance arctic research, and to increase research and management efficiency, effectiveness and capability. This is accomplished: 1) through Information Technology (IT) and GIS-RS support of administrative and management infrastructure and production of planning tools for land management and permitting, and 2) through direct consultation and GIS, RS, and Global Posititioning System (GPS) support services to scientists. ToolikGIS provides a rich spatial geodatabase, project-specific data development, spatial analyses, consultation and documentation.

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    Authors: Kane, Ian; Clare, Michael; Miramontes, Elda; Wogelius, Roy; +3 Authors

    EMODNET Bathymetry is available from this link: https://portal.emodnet-bathymetry.eu/ P90 bed shear stress, near bed velocity and velocity vectors used to create all graphs in the manuscript are named BSS (.tfw, .tif. and .xml), speed (.tfw, .tif, .xml) and velocity vectors (.dbf, .prj, .sbn, .sbx, .shp, .xml,.shx) respectively. FTIR data are here recorded in csv and sp files. Microplastic samples were randomly chosen from the confirmed plastics recorded in the samples; this is not intended as a complete data set or analysis, rather just a snapshot of plastic types in the samples. Grain Size data were established using laser diffraction analysis at the Univeristy of Manchester. Pdf files 1-8 Microplastic counts and colours are listed here: 'MP data' excel spreadsheet The artistic block diagram is included here and should be referred to appropriately, using the citation (Kane et al.) and doi. While microplastics are known to pervade the global seafloor, the processes that control their dispersal and concentration in the deep sea remain largely unknown. Here we show that thermohaline-driven currents, which build extensive seafloor sediment accumulations, can control the distribution of microplastics and create hotspots of up to 1.9 million pieces m^2. This is the highest reported value for any seafloor setting, globally. Previous studies propose that microplastics are transported to the seafloor by vertical settling from surface accumulations; instead we demonstrate that the spatial distribution and ultimate fate of microplastics is strongly controlled by near-bed thermohaline currents (bottom currents). These currents are known to supply oxygen and nutrients to deep sea benthos suggesting that deep sea biodiversity hotspots are also likely to be microplastic hotspots. See methods above. Any questions, please direct them to ian.kane@manchester.ac.uk

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    DRYAD; ZENODO
    Dataset . 2020
    License: CC 0
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    Authors: Queen's University Biological Station (QUBS);

    Long Lake is located on the Pangman Tract (Concession 14, Lots 8-10; Concession 15, Lots 9-10 of South Frontenac Township, Frontenac County). Mean depth = 6.8 m; maximum depth = 26.0 m; surface area = 15.5 ha; shoreline = 2767.3 m. Long Lake has a single source of inflow on its east shore. There are no known outflows.

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    Authors: Alberta Energy Regulator;

    All available bathymetry and related information for Astotin 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: Monzier, M.; Collot, J. Y.; Daniel, J.;

    1. Carte bathymétrique des parties centrale et méridionale de l'arc insulaire des Nouvelles-Hébrides et du bassin Nord-Fidjien. / Monzier, M.; Collot, J. Y.; Daniel, J.; Scale of 1:3 345 000 to 1:1 063 346. Date of publication: 1984. (files: 01853RC_IRD_VUT_BAME_1984_1063346_IRD_VUT_BAME_1984_3345000-1063346.tif, 01853RC_IRD_VUT_BAME_1984_3345000_IRD_VUT_BAME_1984_3345000-1063346.tif)

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    Authors: Alison Copeland; Evan Edinger; Mallory Carpenter; Tanya Brown; +1 Authors

    The Canadian Hydrographic Service (CHS) conducted a multibeam sonar survey of Nachvak and Saglek in 2003 and 2007 using the CCGS Matthew and hydrographic launch CSL Plover. Multibeam data was collected in 2006 and made available to us through ArcticNet. The CHS and ArcticNet multibeam surveys were processed and combined into a continuous coverage. Ground-truth sampling, conducted in August 2007 and 2009, collected benthic sediment and biota samples from 165 sites. 148 sites were sampled by video transects. Towed video transects were also collected at 11 nearshore sites.

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  • Authors: Hodgson, Dominic; Jordan, Tom; de Rydt, Jan; Fretwell, Peter; +5 Authors

    This gridded dataset contains the revised bathymetry model beneath the Brunt Ice Shelf and Stancomb-Wills Glacier Tongue, Antarctica, The revised bathymetric model integrates existing direct bathymetry observations and free air gravity anomaly data to provide the best possible estimate of sub-ice shelf bathymetry. The input direct bathymetric/topographic observations, observation locations, and the input free air compilation are also available as additional separate grid files. All files are provided in NetCDF format in Antarctic Polar Stereographic (EPSG:3031) projection with a horizontal resolution of 2km. The output bathymetry model (Final_adjusted_topography.nc), input topographic observations (Topographic_value_grid.nc) and input topographic observation coverage (Topographic_observation_coverage.nc) have elevation values of metres, positive upwards. The input free air gravity anomaly grid (Brunt_FAA_compilation_grid.nc) has values of mGal. The bathymetric model was produced for the paper of Hodgson et al., (2019) investigating the past and future dynamics of the Brunt Ice Shelf. The publication reference is; Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018. Data quality issues are described in the methods chapter of:- Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018. Data lineage is described in the methods chapter of:- Hodgson, D. A., Jordan, T. A., De Rydt, J., Fretwell, P. T., Seddon, S. A., Becker, D., Hogan, K. A., Smith, A. M., and Vaughan, D. G.: Past and future dynamics of the Brunt Ice Shelf from seabed bathymetry and ice shelf geometry, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-206, in review, 2018.

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    Authors: Alberta Energy Regulator;

    All available bathymetry and related information for Dillberry 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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