http://lod.bco-dmo.org/id/dataset/982170
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
2025-08-10
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Measurements of sinking particle types from deployed Particle Interceptor Trap System (PITS) at the Bermuda Atlantic Time-series Study (BATS) site from Jul 2021 to Mar 2023
2025-10-08
publication
2025-10-08
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-11-07
publication
https://doi.org/10.26008/1912/bco-dmo.982170.1
Susanne Neuer
Arizona State University
principalInvestigator
Leocadio Blanco-Bercial
Bermuda Institute of Ocean Sciences
principalInvestigator
Amy Maas
Bermuda Institute of Ocean Sciences
principalInvestigator
Kaitlin Noyes
Bermuda Institute of Ocean Sciences
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: Brenner, A., Maas, A., Blanco-Bercial, L., Noyes, K., Neuer, S. (2025) Measurements of sinking particle types from deployed Particle Interceptor Trap System (PITS) at the Bermuda Atlantic Time-series Study (BATS) site from Jul 2021 to Mar 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-08 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.982170.1 [access date]
PITs Dataset from Aggregates Cruises Dataset Description: Methods and Sampling: <p>Samples for the Bermuda Atlantic Time-series Study (BATS) were collected during monthly cruises in July 2021 (AE2112), November 2021 (AE2124), March 2022 (AE2204), July 2022 (AE2214), November 2022 (AE2224), and March 2023 (AE2306) for seasonal comparison. Particle Interceptor Traps (PITs) were deployed at depths of 150 m, 200 m, and 300 m.</p>
<p>Sinking particles were collected using triplicate polycarbonate gel cups per depth, each containing 100 mL of 12% Tissue Tek polyacrylamide gel to preserve particle structure (Durkin et al., 2015; Ebersbach &amp; Trull, 2008). Gel cups were housed in 70 mm diameter PIT tubes overlaid with dense seawater collected below the halocline (~1000 m), which was filtered (0.2 µm capsule filter, Pall Corp.) and fixed with 2% formalin (final concentration).</p>
<p>Triplicate PIT tubes fitted with acid-cleaned polycarbonate membrane filters (0.8 µm pore size) and filled with poisoned seawater brine (50 g NaCl L⁻¹, 0.7% formalin) were deployed alongside gel cups to measure bulk particulate organic carbon (POC) flux. Membrane filters were processed using standard BATS protocols for C/N analysis (Knap et al., 1997). See the related dataset for more information on the BATS&nbsp;Sediment Trap Particle Flux dataset.&nbsp;</p>
<p>After recovery, seawater above the dense brine layer was siphoned off, and the remaining seawater was drained. Excess seawater on gel cup surfaces was removed before storage at -80°C. Gel cups were transported on dry ice from Bermuda Institute of Ocean Sciences (BIOS) to Arizona State University for image analysis.</p>
<p>Gel cup surfaces were imaged with a Zeiss Discovery.V12 Stereo Microscope equipped with a 3.2 MP color camera. A Python-based image analysis pipeline was used to segment particles and quantify sinking particle types and size distributions. For most gel cups, 20 non-overlapping images were collected per cup, divided evenly between two focal planes: one at a higher Z-plane to capture smaller particles near the gel surface and one at a lower Z-plane to capture larger particles near the bottom of the gel. Two scale images were captured for each change in Z. The only exception was the July 2021 sampling, where each of the nine gel cups was imaged with 10 pictures and one scale image per cup.</p>
<p>Particles were categorized as fecal aggregates (dense, dark), phytodetrital aggregates (fluffy, amorphous), crustacean fecal pellets (ovular, dense), euphausiid fecal pellets (cylindrical, dense), or debris (fragments &lt;60 µm, amorphous). Sinking particles like animal tissue, molts, and swimmers were excluded.</p>
<p>Particle areas (µm²) were measured using the Particle Image Analysis tool, then converted to biovolumes (µm³) using shape-specific formulas: spherical for fecal and phytodetrital aggregates, combined spherical/cylindrical for crustacean fecal pellets, and cylindrical for euphausiid pellets. Debris particles were treated as spherical. Biovolumes were converted to carbon content (mg C per particle) using published conversion factors from multiple ocean regions (Alldredge &amp; Gotschalk, 1990; Silver &amp; Bruland, 1981; Durkin et al., 2021).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2023621 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023621
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2023372 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023372
completed
Susanne Neuer
Arizona State University
480-727-7254
College of Liberal Arts and Sciences School of Life Sciences 427 East Tyler Mall
Tempe
AZ
85287-4501
USA
susanne.neuer@asu.edu
pointOfContact
Leocadio Blanco-Bercial
Bermuda Institute of Ocean Sciences
leocadio@asu.edu
pointOfContact
Amy Maas
Bermuda Institute of Ocean Sciences
508-289-2462
17 Biological Station Ferry Reach
St.George's GE 01
Bermuda
amy.maas@asu.edu
pointOfContact
Kaitlin Noyes
Bermuda Institute of Ocean Sciences
+1 441 297 1880 ext 238
kaitlin.noyes@bios.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Particle_ID
Station
Deployment_Datetime
Retreival_Datetime
Deployment_Lat
Deployment_Long
Retreival_Lat
Retreival_Long
Cruise_num
Depth
Particle_Type
Area
ESD
Width
Length
Volume
Carbon
POCFlux
Log_Biovolume
Log_Carbon
OMAX 3.2 Megapixel Color Camera (OMAX Microscope)
Zeiss Discovery.V12 Stereo Motorized Microscope (Carl Zeiss Microscopy, LLC)
Particle Interceptor Traps (PITs)
theme
None, User defined
sample identification
site
ISO_DateTime_UTC
latitude
longitude
latitude at end time of measurement
longitude at end time of measurement
Cruise identfier
depth
sample type
area
ESD (Equivalent spherical diameter)
width
length
volume
particulate organic Carbon (POC)
particulate organic carbon flux in sea water
featureType
BCO-DMO Standard Parameters
Camera
Microscope - Optical
Sediment Trap - Particle Interceptor
instrument
BCO-DMO Standard Instruments
AE2112
AE2124
AE2204
AE2214
AE2224
AE2306
service
Deployment Activity
Bermuda
place
Locations
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 Research: Zooplankton mediation of particle formation in the Sargasso Sea
https://osprey.bco-dmo.org/project/816744
Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea
<p><em>NSF Award Abstract:</em><br />
The purpose of this collaborative project is to advance understanding of the role of marine planktonic animals (or zooplankton) in the biological pump, or transport of carbon from surface to deeper ocean waters. This movement of carbon from surface to deep ocean water can ultimately affect carbon dioxide in the atmosphere, with implications for global climate. Many marine zooplankton, including species of copepods and krill, play a direct role in the biological pump both because they are abundant and because they can migrate from surface waters at night, where they feed, to depths of more than 500 m at night. At the same time, some organisms called flux feeders will remain at depth and do not migrate. Instead, they rely on particles produced by other zooplankton feeding in surface waters. In this project, the investigators are focusing on populations of flux feeders in the deeper ocean waters of the Sargasso Sea. They are leveraging an ongoing long-term research program, conducting field collections using specialized nets and particle traps, as well lab experiments, as a way to understand how these organisms modify the particles around them. This project is supporting a postdoctoral scientist and providing research experiences for undergraduates at two institutions. An education specialist is creating lesson plans for an award-winning Ask-A-Biologist website, designed for public and K-12 audiences. Images of zooplankton will be disseminated to the public and scientific community via EcoTaxa (a web platform devoted to plankton biodiversity, with images and taxonomic annotation) and physical samples will be archived as part of a teaching library.</p>
<p>The oceanic biological carbon pump refers to the export of dissolved and particulate organic carbon to the deep ocean, and it is a significant driver of atmospheric carbon uptake by the oceans. Evidence from long-term research carried out at the Bermuda Atlantic Time-series Study (BATS) site suggests that the spectrum of particles collected by gel-traps below the euphotic zone changes drastically below 150 m, which is attributed to resident populations of zooplankton that feed on vertically migrating zooplankton as well as sinking particles. The goals of this study are to investigate the role of different zooplankton taxa on both particle aggregate formation and in particle transformation, and to compare and characterize the particles generated by the zooplankton communities with those collected by particle traps. The investigators are combining field collections with experiments onboard ship and in environmental chambers. They are collecting samples over two years, with three cruises a year to capture distinct seasons. They are assessing high-resolution vertical distribution of zooplankton in the upper 600 m using Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during day- and night-time, to distinguish diel vertical migrators from resident populations and to quantify contributions to particulate organic carbon flux via fecal pellet production. On each cruise, sinking particles are being collected using gel trap tubes attached to the particle traps deployed monthly at BATS. In addition, roller tank experiments are determining how individual zooplankton mediate aggregate formation. Particle types and fecal pellets are being characterized using image analysis and DNA-based analysis of microbial communities. Finally, ongoing data collection from the long-term BATS program is providing invaluable environmental context and will ensure results from this study contribute to ongoing community efforts to observe and predict the fate of carbon in our global system.</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>
Zooplankton Mediation
largerWorkCitation
project
eng; USA
biota
oceans
Bermuda
-64.185
-64.152
31.653
31.683
2021-07-13
2023-03-19
Sargasso Sea/BATS area
0
BCO-DMO catalogue of parameters from Measurements of sinking particle types from deployed Particle Interceptor Trap System (PITS) at the Bermuda Atlantic Time-series Study (BATS) site from Jul 2021 to Mar 2023
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/986282.rdf
Name: Particle_ID
Units: unitless
Description: <p>Identifier for each separately identified particle type/observation</p>
http://lod.bco-dmo.org/id/dataset-parameter/986283.rdf
Name: Station
Units: unitless
Description: <p>Station where samples were collected</p>
http://lod.bco-dmo.org/id/dataset-parameter/986284.rdf
Name: Deployment_Datetime
Units: unitless
Description: <p>Date and time Particle Interceptor Traps (PITs) were deployed</p>
http://lod.bco-dmo.org/id/dataset-parameter/986285.rdf
Name: Retreival_Datetime
Units: unitless
Description: <p>Date and time Particle Interceptor Traps (PITs) were recovered</p>
http://lod.bco-dmo.org/id/dataset-parameter/986286.rdf
Name: Deployment_Lat
Units: decimal degrees
Description: <p>Latitude Particle Interceptor Traps (PITs) were deployed, North is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/986288.rdf
Name: Deployment_Long
Units: decimal degrees
Description: <p>Longitude Particle Interceptor Traps (PITs) were deployed, West is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/986290.rdf
Name: Retreival_Lat
Units: decimal degrees
Description: <p>Latitude Particle Interceptor Traps (PITs) were recovered, North is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/986291.rdf
Name: Retreival_Long
Units: decimal degrees
Description: <p>Longitude Particle Interceptor Traps (PITs) were recovered, West is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/986292.rdf
Name: Cruise_num
Units: unitless
Description: <p>Identifier for the cruise during which samples were collected; unitless (e.g., AE2214)</p>
http://lod.bco-dmo.org/id/dataset-parameter/986293.rdf
Name: Depth
Units: meters (m)
Description: <p>Depth of Particle Interceptor Traps (PITs) deployment</p>
http://lod.bco-dmo.org/id/dataset-parameter/986295.rdf
Name: Particle_Type
Units: unitless
Description: <p>Morphological category of sinking particle, (e.g., fecal aggregate, phytodetrital, debris)</p>
http://lod.bco-dmo.org/id/dataset-parameter/986296.rdf
Name: Area
Units: square micrometers (µm²)
Description: <p>Two-dimensional projected area of individual particle</p>
http://lod.bco-dmo.org/id/dataset-parameter/986297.rdf
Name: ESD
Units: micrometers (µm)
Description: <p>Equivalent spherical diameter of particle, calculated from area</p>
http://lod.bco-dmo.org/id/dataset-parameter/986298.rdf
Name: Width
Units: micrometers (µm)
Description: <p>Maximum width of particle</p>
http://lod.bco-dmo.org/id/dataset-parameter/986299.rdf
Name: Length
Units: micrometers (µm)
Description: <p>Maximum length of particle</p>
http://lod.bco-dmo.org/id/dataset-parameter/986300.rdf
Name: Volume
Units: cubic micrometers (µm³)
Description: <p>Estimated three-dimensional biovolume of particle using shape-specific formulas</p>
http://lod.bco-dmo.org/id/dataset-parameter/986301.rdf
Name: Carbon
Units: milligrams (mg)
Description: <p>Estimated carbon content per particle, derived from biovolume and conversion factors</p>
http://lod.bco-dmo.org/id/dataset-parameter/986302.rdf
Name: POCFlux
Units: milligrams C per square meter per day (mg C m⁻² day⁻¹)
Description: <p>Particulate organic carbon flux per unit area per day</p>
http://lod.bco-dmo.org/id/dataset-parameter/986303.rdf
Name: Log_Biovolume
Units: unitless
Description: <p>Base-10 logarithm of particle biovolume</p>
http://lod.bco-dmo.org/id/dataset-parameter/986304.rdf
Name: Log_Carbon
Units: unitless
Description: <p>Base-10 logarithm of particle carbon content</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
889450
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/3fb5fab3-d9c5-4cc4-a409-e2dd57ddca3c/content
download
https://doi.org/10.26008/1912/bco-dmo.982170.1
download
onLine
dataset
<p>Samples for the Bermuda Atlantic Time-series Study (BATS) were collected during monthly cruises in July 2021 (AE2112), November 2021 (AE2124), March 2022 (AE2204), July 2022 (AE2214), November 2022 (AE2224), and March 2023 (AE2306) for seasonal comparison. Particle Interceptor Traps (PITs) were deployed at depths of 150 m, 200 m, and 300 m.</p>
<p>Sinking particles were collected using triplicate polycarbonate gel cups per depth, each containing 100 mL of 12% Tissue Tek polyacrylamide gel to preserve particle structure (Durkin et al., 2015; Ebersbach &amp; Trull, 2008). Gel cups were housed in 70 mm diameter PIT tubes overlaid with dense seawater collected below the halocline (~1000 m), which was filtered (0.2 µm capsule filter, Pall Corp.) and fixed with 2% formalin (final concentration).</p>
<p>Triplicate PIT tubes fitted with acid-cleaned polycarbonate membrane filters (0.8 µm pore size) and filled with poisoned seawater brine (50 g NaCl L⁻¹, 0.7% formalin) were deployed alongside gel cups to measure bulk particulate organic carbon (POC) flux. Membrane filters were processed using standard BATS protocols for C/N analysis (Knap et al., 1997). See the related dataset for more information on the BATS&nbsp;Sediment Trap Particle Flux dataset.&nbsp;</p>
<p>After recovery, seawater above the dense brine layer was siphoned off, and the remaining seawater was drained. Excess seawater on gel cup surfaces was removed before storage at -80°C. Gel cups were transported on dry ice from Bermuda Institute of Ocean Sciences (BIOS) to Arizona State University for image analysis.</p>
<p>Gel cup surfaces were imaged with a Zeiss Discovery.V12 Stereo Microscope equipped with a 3.2 MP color camera. A Python-based image analysis pipeline was used to segment particles and quantify sinking particle types and size distributions. For most gel cups, 20 non-overlapping images were collected per cup, divided evenly between two focal planes: one at a higher Z-plane to capture smaller particles near the gel surface and one at a lower Z-plane to capture larger particles near the bottom of the gel. Two scale images were captured for each change in Z. The only exception was the July 2021 sampling, where each of the nine gel cups was imaged with 10 pictures and one scale image per cup.</p>
<p>Particles were categorized as fecal aggregates (dense, dark), phytodetrital aggregates (fluffy, amorphous), crustacean fecal pellets (ovular, dense), euphausiid fecal pellets (cylindrical, dense), or debris (fragments &lt;60 µm, amorphous). Sinking particles like animal tissue, molts, and swimmers were excluded.</p>
<p>Particle areas (µm²) were measured using the Particle Image Analysis tool, then converted to biovolumes (µm³) using shape-specific formulas: spherical for fecal and phytodetrital aggregates, combined spherical/cylindrical for crustacean fecal pellets, and cylindrical for euphausiid pellets. Debris particles were treated as spherical. Biovolumes were converted to carbon content (mg C per particle) using published conversion factors from multiple ocean regions (Alldredge &amp; Gotschalk, 1990; Silver &amp; Bruland, 1981; Durkin et al., 2021).</p>
Specified by the Principal Investigator(s)
<p>Raw images of sinking particles collected in polyacrylamide gel cups were processed using a Python-based image analysis pipeline. The pipeline utilizes the Particle Image Analysis tool (version 1.0;&nbsp;Rao &amp; Blanco-Bercial, 2023) to perform image segmentation and masking, allowing for precise delineation of individual particle boundaries and measurement of particle area (µm²).</p>
<p>Particle areas were converted to biovolumes (µm³) using shape-specific formulas applied to different particle categories (e.g., spherical for fecal and phytodetrital aggregates, cylindrical for euphausiid pellets). Biovolumes were then converted to carbon content (mg C) using empirically derived conversion factors from multiple oceanographic studies (Alldredge &amp; Gotschalk, 1990; Silver &amp; Bruland, 1981; Durkin et al., 2021).</p>
<p>All image processing and data extraction steps were automated within the Python pipeline to ensure reproducibility and consistency across samples. Additional information can be found on the Zooplankton Vertical Migration website referenced below (Zooplankton Vertical Migration).</p>
Specified by the Principal Investigator(s)
- Imported "BCO_DMO_Particle_Sizes.csv" into the BCO-DMO system
- Added deployment and recovery times from BATS dataset, working with submitter
- Converted deployment and retrieval dates to ISO 8601 UTC datetime format, YYYY-MM-DDTHH:MM:SSZ
- Converted longitudes to the preferred BCO-DMO format, adding negative to values that are West
- Renamed fields to comply with BCO-DMO naming conventions, removing units, special characters, and spaces
- Replaced 2205 with 2204 in the "Cruise_num" parameter, based on deployment information
- Added "Particle_ID" values provided by the submitter
- Exported file as "982170_v1_pits_particle_sizes.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
OMAX 3.2 Megapixel Color Camera (OMAX Microscope)
OMAX 3.2 Megapixel Color Camera (OMAX Microscope)
PI Supplied Instrument Name: OMAX 3.2 Megapixel Color Camera (OMAX Microscope) PI Supplied Instrument Description:OMAX 3.2 Megapixel Color Camera (OMAX Microscope): Attached to the microscope for capturing high-resolution images. 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/
Zeiss Discovery.V12 Stereo Motorized Microscope (Carl Zeiss Microscopy, LLC)
Zeiss Discovery.V12 Stereo Motorized Microscope (Carl Zeiss Microscopy, LLC)
PI Supplied Instrument Name: Zeiss Discovery.V12 Stereo Motorized Microscope (Carl Zeiss Microscopy, LLC) PI Supplied Instrument Description:Zeiss Discovery.V12 Stereo Motorized Microscope (Carl Zeiss Microscopy, LLC): Used for imaging particle samples in gel cups. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/
Particle Interceptor Traps (PITs)
Particle Interceptor Traps (PITs)
PI Supplied Instrument Name: Particle Interceptor Traps (PITs) PI Supplied Instrument Description:Particle Interceptor Traps (PITs): Deployed at 150 m, 200 m, and 300 m depths to collect sinking particles using polycarbonate gel cups containing 12% Tissue Tek polyacrylamide gel. Instrument Name: Sediment Trap - Particle Interceptor Instrument Short Name:Sed Trap - Part Int Instrument Description: A Particle Interceptor Trap is a prototype sediment trap designed in the mid 1990s to segregate 'swimmers' from sinking particulate material sampled from the water column. The prototype trap used 'segregation plates' to deflect and segregate 'swimmers' while a series of funnels collected sinking particles in a chamber (see Dennis A. Hansell and Jan A. Newton. September 1994. Design and Evaluation of a "Swimmer"-Segregating Particle Interceptor Trap, Limnology and Oceanography, Vol. 39, No. 6, pp. 1487-1495). Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/33/
Cruise: AE2112
AE2112
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2112
Rodney J. Johnson
Cruise: AE2124
AE2124
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2124
Paul J. Lethaby
Cruise: AE2204
AE2204
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2204
Zachary Anderson
Cruise: AE2214
AE2214
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2214
Zachary Anderson
Cruise: AE2224
AE2224
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2224
Rodney J. Johnson
Cruise: AE2306
AE2306
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2306
Claire Medley
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel