http://lod.bco-dmo.org/id/dataset/962096
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2025-05-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
CTD summary and prey size data for five mucous mesh grazer species collected during R/V Sikuliaq Cruise SKQ202204S and R/V Marcus G. Langseth Cruise MGL2207 in the Northern California Current in Mar and Jul 2022
2025-06-12
publication
2025-06-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-06-12
publication
https://doi.org/10.26008/1912/bco-dmo.962096.1
Kelly Rakow Sutherland
University of Oregon
principalInvestigator
Anne W. Thompson
Portland State University
principalInvestigator
Terra C. Hiebert
University of Oregon
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Hiebert, T. C., Thompson, A. W., Sutherland, K. R. (2025) CTD summary and prey size data for five mucous mesh grazer species collected during R/V Sikuliaq Cruise SKQ202204S and R/V Marcus G. Langseth Cruise MGL2207 in the Northern California Current in Mar and Jul 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-06-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.962096.1 [access date]
CTD and prey size data in Northern California Current 2022 Dataset Description: Methods and Sampling: <p>We sampled six cross-shelf transects in the Northern California Current (NCC) along the coasts of Oregon and Washington, USA from March 2-11, 2022 (Winter = W22) and July 20-28, 2022 (Summer = S22) on cruises SKQ202204S and MGL2207. Pelagic tunicates and pteropods were collected using a 4 m^2<sup> </sup>Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh) at each station from depths ranging 0 to 100 m. All sampled mucous mesh grazers were from shelf-break or off-shelf sampling stations, and were processed immediately to reduce gut contents being digested or expelled. Animals and/or dissected guts were rinsed in deionized water (DI) to remove salt and preserved at -20 ˚C or in 0.125% TEM-grade glutaraldehyde at +4 ˚C until further processing.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2419056 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2419056
completed
Kelly Rakow Sutherland
University of Oregon
541-913-6560
5289 University of Oregon
Eugene
OR
97403-5219
USA
ksuth@uoregon.edu
pointOfContact
Anne W. Thompson
Portland State University
503-725-8052
PO Box 751
Portland
OR
97201
USA
awt@pdx.edu
pointOfContact
Terra C. Hiebert
University of Oregon
5289 University of Oregon
Eugene
OR
97403-5219
USA
terrah@uoregon.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
station_season_id
DateTime_Local_PT
stationID
season
lat
long
image
scale
grazers_species
preyID
prey_number
grid
W
L
area
max_measure
temp_5m
fluor_5m
fluor_max
dist_from_coast
ISO_DateTime_UTC
grazers_AphiaID
grazers_LSID
Nikon D850 camera
SeaBird SBE-911+
Nikon Eclipse Ni epifluorescence microscope
glass mortar and pestle
Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh)
12L Niskin Bottles
ThermoFisher Apreo environmental scanning electron microscope
theme
None, User defined
sample identification
ISO_DateTime_Local
station id
season
latitude
longitude
file_name
image_analysis
species scientific name (binomial)
sample description
count
width
length
area
water temperature at measurement depth
fluorescence
ISO_DateTime_UTC
taxon_code
Life Science Identifier (LSID)
featureType
BCO-DMO Standard Parameters
Camera
CTD Sea-Bird SBE 911plus
Fluorescence Microscope
Homogenizer
MOCNESS1
Niskin bottle
Scanning Electron Microscope
instrument
BCO-DMO Standard Instruments
SKQ202204S
MGL2207
service
Deployment Activity
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop
http://www.sutherlandlab.org
Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop
<p><em>NSF Award Abstract:</em><br />
Marine microorganisms are among the most abundant life forms on the planet, playing a key role in ocean nutrient cycling. Though predation on these microorganisms is critical to nutrient cycling, little is known about their interactions with predators - specifically the direct interaction between microorganism cell surfaces and predator capture surfaces. This project examines how cell surfaces may influence the predation of marine microorganisms. Cell surface modification is a recognized strategy for predator avoidance among terrestrial microorganisms, but its application in the ocean is largely unexplored. By examining microbial prey with varying surface characteristics and predators with a range of feeding strategies, this research is providing foundational knowledge for future ocean food web models. This project engages public audiences through exhibits and workshops at museums (e.g., Oregon Museum of Science and Industry) and coastal aquariums with a focus on predator-prey interactions in the ocean from small microbial prey to larger predators. A large-scale art installment emphasizes these food web interactions. These 'Eco Murals' focus on ocean ecosystems and involve participation from community members, especially underrepresented minorities. This project is training the next generation of scientists by involving graduate and undergraduate students in research, professional development, and scientific communication. This research includes independent graduate student research as well as capstone projects in Bioinformatics and Genomics. Undergraduate students participate in this research following the previously successful NSF REU Exploration of Marine Biology on the Oregon Coast model. Finally, by leveraging initiatives aimed at promoting the persistence of historically underrepresented and underserved populations in STEM fields, this project recruits, supports, and retains female, first-generation, and underrepresented minority students.</p>
<p>The differential selection and rejection of microbial prey alters our understanding of carbon fate and nutrient cycling in the ocean. This project directly tests the effects of microbial surface properties on particle selection by globally abundant suspension feeders. Cell surface properties are known to be a fundamental aspect of predation avoidance in terrestrial microbes, but the role of microbial surface properties in avoiding or enhancing predation is a research frontier in ocean science. This knowledge gap limits understanding of microbial mortality, microbial loop function, and prediction of ecosystem response to future climate scenarios. This research links specific particle properties with ecologically-relevant trophic interactions through experiments with widespread suspension feeders representing major feeding strategies by copepod nauplii, pteropods, appendicularians, and echinoderm larvae. First, this project quantifies the surface properties of major marine microbial groups to inform feeding incubations with artificial prey. Second, artificial microspheres with varying surface properties are used in controlled laboratory feeding incubations to determine selectivity and third, to quantify particle fate from released fecal pellets and pseudofeces. Finally, the major marine microbial taxa in the guts of wild-caught suspension feeders are quantified using qPCR. This research forms an integrative approach, yet the results of each objective have scientific impact which can be applied to diverse fields beyond the ocean.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Surf Props
largerWorkCitation
project
eng; USA
biota
oceans
-125.8082405
-124.697124
42.5008433
46.1698757
2022-03-16
2022-07-16
Oregon Institute of Marine Biology, Friday Harbor Labs (FHL), Michael Sars Centre in Bergen, Norway
0
BCO-DMO catalogue of parameters from CTD summary and prey size data for five mucous mesh grazer species collected during R/V Sikuliaq Cruise SKQ202204S and R/V Marcus G. Langseth Cruise MGL2207 in the Northern California Current in Mar and Jul 2022
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/964873.rdf
Name: station_season_id
Units: unitless
Description: <p>Transect ID and station number combined with season ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/964874.rdf
Name: DateTime_Local_PT
Units: unitless
Description: <p>Date and time of CTD or MOCNESS sampling in Pacific Time (PT).</p>
http://lod.bco-dmo.org/id/dataset-parameter/964875.rdf
Name: stationID
Units: unitless
Description: <p>Transect ID and station number</p>
http://lod.bco-dmo.org/id/dataset-parameter/964876.rdf
Name: season
Units: unitless
Description: <p>Summer or winter 2022</p>
http://lod.bco-dmo.org/id/dataset-parameter/964877.rdf
Name: lat
Units: decimal degrees
Description: <p>Latitude, positive is North</p>
http://lod.bco-dmo.org/id/dataset-parameter/964878.rdf
Name: long
Units: decimal degrees
Description: <p>Longitude, negative is South</p>
http://lod.bco-dmo.org/id/dataset-parameter/964879.rdf
Name: image
Units: unitless
Description: <p>Esem image name and file path</p>
http://lod.bco-dmo.org/id/dataset-parameter/964880.rdf
Name: scale
Units: µm
Description: <p>Magnification of image during analysis</p>
http://lod.bco-dmo.org/id/dataset-parameter/964881.rdf
Name: grazers_species
Units: unitless
Description: <p>Mucous grazer species</p>
http://lod.bco-dmo.org/id/dataset-parameter/964882.rdf
Name: preyID
Units: unitless
Description: <p>High level prey taxon identification</p>
http://lod.bco-dmo.org/id/dataset-parameter/964883.rdf
Name: prey_number
Units: unitless
Description: <p>Prey number for each image</p>
http://lod.bco-dmo.org/id/dataset-parameter/964884.rdf
Name: grid
Units: unitless
Description: <p>Grid number for each image</p>
http://lod.bco-dmo.org/id/dataset-parameter/964885.rdf
Name: W
Units: µm
Description: <p>Width of prey item measured in ImageJ, calculated to µm</p>
http://lod.bco-dmo.org/id/dataset-parameter/964886.rdf
Name: L
Units: µm
Description: <p>Length of prey item measured in ImageJ, calculated to µm</p>
http://lod.bco-dmo.org/id/dataset-parameter/964887.rdf
Name: area
Units: µm2
Description: <p>Area of prey item measured in ImageJ, calculated to µm</p>
http://lod.bco-dmo.org/id/dataset-parameter/964888.rdf
Name: max_measure
Units: µm
Description: <p>Maximum dimension (length or width)</p>
http://lod.bco-dmo.org/id/dataset-parameter/964889.rdf
Name: temp_5m
Units: degrees Celsius
Description: <p>CTD temperature at 5 m depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/964890.rdf
Name: fluor_5m
Units: mg per m^3
Description: <p>Fluorescence at 5 m depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/964891.rdf
Name: fluor_max
Units: mg per m^3
Description: <p>Maximum fluorescence value measured from 0-100 m deep</p>
http://lod.bco-dmo.org/id/dataset-parameter/964892.rdf
Name: dist_from_coast
Units: km
Description: <p>Distance from coast</p>
http://lod.bco-dmo.org/id/dataset-parameter/964893.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time of CTD or MOCNESS sampling in UTC.</p>
http://lod.bco-dmo.org/id/dataset-parameter/964894.rdf
Name: grazers_AphiaID
Units: unitless
Description: <p>AphiaID of grazer</p>
http://lod.bco-dmo.org/id/dataset-parameter/964895.rdf
Name: grazers_LSID
Units: unitless
Description: <p>LSID of grazer</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
184535
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/e2fbb543-8eb5-487c-8980-ccb2efea3c34/content
download
https://doi.org/10.26008/1912/bco-dmo.962096.1
download
onLine
dataset
<p>We sampled six cross-shelf transects in the Northern California Current (NCC) along the coasts of Oregon and Washington, USA from March 2-11, 2022 (Winter = W22) and July 20-28, 2022 (Summer = S22) on cruises SKQ202204S and MGL2207. Pelagic tunicates and pteropods were collected using a 4 m^2<sup> </sup>Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh) at each station from depths ranging 0 to 100 m. All sampled mucous mesh grazers were from shelf-break or off-shelf sampling stations, and were processed immediately to reduce gut contents being digested or expelled. Animals and/or dissected guts were rinsed in deionized water (DI) to remove salt and preserved at -20 ˚C or in 0.125% TEM-grade glutaraldehyde at +4 ˚C until further processing.&nbsp;</p>
Specified by the Principal Investigator(s)
<p>Large individuals and guts (e.g., <em>T. vagina</em>) were dissected and frozen individually. For small or colonial animals (e.g., <em>D. gegenbauri, P. atlanticum, </em>and <em>L. helicina</em>) groups of individuals or dissected guts were combined into samples of 10-20 individuals. Samples were homogenized in ~10 mL DI using an EtOH-sterilized 15 mL glass mortar and pestle. Homogenized material (1-2 mL) was filtered onto a 0.2 µm nucleopore filter (Whatman) using vacuum filtration and the remaining homogenate was preserved as above. The homogenization process was done shipboard in S22. In W22, animals were frozen at sea and homogenized as above in a shore-based lab.</p>
<p>To analyze the planktonic prey fields from surrounding seawater, we collected surface seawater in S22 from 0-25 m deep using a CTD Rosette, from one of 24 12L Niskin Bottles at each station. Exact sampling depth was determined at each site based on real-time CTD measurements (salinity, temperature, fluorescence) to select for highest likely prey field abundance.</p>
<p>Seawater was immediately filtered onto a 0.2 µm nucleopore filter. The goal of water filtration was to concentrate available prey for imaging, so the volume filtered varied between 300-1000 mL depending on prey density and feasibility of filtration.&nbsp;Filters were rinsed with freshwater to reduce salt crystals which impair ESEM imaging. Filters were gently rolled and transferred to 1.8 ml cryovials containing 0.125% TEM-grade glutaraldehyde in freshwater and frozen (-20˚C) or refrigerated (4˚C) until imaging.</p>
<p>A small volume (~10 µl) of homogenized samples was imaged using bright field microscopy on a Nikon epifluorescence compound light microscope equipped with a Nikon D850 camera. Quantitative image analysis was performed on images generated using an Apreo (ThermoFisher) scanning electron microscope from the Center for Advanced Materials Characterization in Oregon facility (University of Oregon). Nucleopore filters were cut into 1 mm square pieces and affixed to double sided tape on the Apreo imaging stage and immediately imaged.</p>
<p>All prey items were identified to the lowest taxon possible from ESEM and bright field images. To compare prey sizes in the gut of each grazer, we measured a subsample of prey items by applying grids with 500,000 pixels2 to ESEM images using ImageJ, version 2.16.0/1.54p (Schneider, 2012). All potential prey items were identified, enumerated, and measured when 75% intact from randomly selected grids until 100 prey items were measured and the grid completed. Prey items were manually outlined, with major and minor axis lengths obtained.&nbsp;</p>
<p>Two station locations, CR-4 and CR-3, were sampled, but not processed for prey size. The CTD summary data is included.&nbsp;</p>
Specified by the Principal Investigator(s)
- Imported "CTD summary data_BCO DMO.xlsx" and "ESEM data_BCO DMO.xlsx" files into the BCO-DMO system
- Normalized all station ids and season information, creating combination identifier to join on
- Removed W (mm), H (mm), and area (mm-2) parameters to reduce duplication
- Joined data sources on station ids and season information
- Added local and UTC datetimes of sampling from submitter
- Replaced µm → um in all values to since that's not an accepted charater in our system
- Renamed parameters for clarity and to comply with BCO-DMO recommendations
- Changed "H" parameter name to "L" to reflect length
- Added field for scale and move information from file names to the scale field
- Added default value of 100 to the scale values that were empty
- Added LSID and AphiaIDs to dataset for grazer species (all names were accepted when checked on 2-25-05-22)
- Exported file as "962096_v1_ctd_prey_size.csv"
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Nikon D850 camera
Nikon D850 camera
PI Supplied Instrument Name: Nikon D850 camera PI Supplied Instrument Description:A small volume (~10 µl) of homogenized samples was imaged using bright field microscopy on a Nikon epifluorescence compound light microscope equipped with a Nikon D850 camera. Instrument Name: Camera Instrument Short Name:camera Instrument Description: All types of photographic equipment including stills, video, film and digital systems. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/311/
SeaBird SBE-911+
SeaBird SBE-911+
PI Supplied Instrument Name: SeaBird SBE-911+ PI Supplied Instrument Description:To analyze the planktonic prey fields from surrounding seawater, we collected surface seawater in S22 from 0-25 m deep using a CTD Rosette, from one of 24 12L Niskin Bottles at each station. Instrument Name: CTD Sea-Bird SBE 911plus Instrument Short Name:CTD SBE 911plus Instrument Description: The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/
Nikon Eclipse Ni epifluorescence microscope
Nikon Eclipse Ni epifluorescence microscope
PI Supplied Instrument Name: Nikon Eclipse Ni epifluorescence microscope PI Supplied Instrument Description:A small volume (~10 µl) of homogenized samples was imaged using bright field microscopy on a Nikon epifluorescence compound light microscope equipped with a Nikon D850 camera. Instrument Name: Fluorescence Microscope Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB06/
glass mortar and pestle
glass mortar and pestle
PI Supplied Instrument Name: glass mortar and pestle PI Supplied Instrument Description:Samples were homogenized in ~10 mL DI using an EtOH-sterilized 15 mL glass mortar and pestle. Instrument Name: Homogenizer Instrument Short Name:Homogenizer Instrument Description: A homogenizer is a piece of laboratory equipment used for the homogenization of various types of material, such as tissue, plant, food, soil, and many others.
Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh)
Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh)
PI Supplied Instrument Name: Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh) PI Supplied Instrument Description:Pelagic tunicates and pteropods were collected using a 4 m^2 Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS, 1 mm mesh) at each station from depths ranging 0 to 100 m. In some cases, the M1N4 was used. Instrument Name: MOCNESS1 Instrument Short Name:MOC1 Instrument Description: The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. The MOCNESS-1 carries nine 1-m2 nets usually of 335 micrometer mesh and is intended for use with the macrozooplankton. All nets are black to reduce contrast with the background. A motor/toggle release assembly is mounted on the top portion of the frame and stainless steel cables with swaged fittings are used to attach the net bar to the toggle release. A stepping motor in a pressure compensated case filled with oil turns the escapement crankshaft of the toggle release which sequentially releases the nets to an open then closed position on command from the surface. -- from the MOCNESS Operations Manual (1999 + 2003). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/NETT0097/
12L Niskin Bottles
12L Niskin Bottles
PI Supplied Instrument Name: 12L Niskin Bottles PI Supplied Instrument Description:To analyze the planktonic prey fields from surrounding seawater, we collected surface seawater in S22 from 0-25 m deep using a CTD Rosette, from one of 24 12L Niskin Bottles at each station. Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle Instrument Description: A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
ThermoFisher Apreo environmental scanning electron microscope
ThermoFisher Apreo environmental scanning electron microscope
PI Supplied Instrument Name: ThermoFisher Apreo environmental scanning electron microscope PI Supplied Instrument Description:Quantitative image analysis was performed on images generated using an Apreo (ThermoFisher) scanning electron microscope from the Center for Advanced Materials Characterization in Oregon facility (University of Oregon). Instrument Name: Scanning Electron Microscope Instrument Short Name:SEM Instrument Description: A scanning electron microscope (SEM) scans a focused electron beam over a surface to create an image. The electrons in the beam interact with the sample, producing various signals that can be used to obtain information about the surface topography and composition.
Cruise: SKQ202204S
SKQ202204S
R/V Sikuliaq
Community Standard Description
International Council for the Exploration of the Sea
R/V Sikuliaq
vessel
SKQ202204S
Robert K. Cowen
Oregon State University
Cruise: MGL2207
MGL2207
R/V Marcus G. Langseth
Community Standard Description
International Council for the Exploration of the Sea
R/V Marcus G. Langseth
vessel
MGL2207
Robert K. Cowen
Oregon State University
R/V Sikuliaq
Community Standard Description
International Council for the Exploration of the Sea
R/V Sikuliaq
vessel
R/V Marcus G. Langseth
Community Standard Description
International Council for the Exploration of the Sea
R/V Marcus G. Langseth
vessel