http://lod.bco-dmo.org/id/dataset/817952
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
2020-07-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Particulate organic matter data set from samples collected using ship’s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017.
2020-07-20
publication
2020-07-20
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-07-23
publication
https://doi.org/10.26008/1912/bco-dmo.817952.1
Miguel A. Goni
Oregon State University
principalInvestigator
Angelicque E. White
University of Hawaiʻi at Mānoa
principalInvestigator
Emmanuel Alegria
Oregon State University
principalInvestigator
Elizabeth R. Corvi
Oregon State University
principalInvestigator
Katie Watkins-Brandt
Oregon State University
principalInvestigator
Kylie A. Welch
Oregon State University
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: Goni, M., Corvi, E., Welch, K., Alegria, E., Watkins-Brandt, K., White, A. (2020) Particulate organic matter data set from samples collected using ship’s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-07-20 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.817952.1 [access date]
Dataset Description: <p>These data are part of a manuscript submitted to Continental Shelf Research:</p>
<p>Goñi, M.A., Welch, K.A., Alegria, E., Alleau Y., Watkins-Brandt, K., White, A.E. (submitted) Wintertime Particulate Organic Matter Distributions in Surface Waters of the Northern California Current System. Continental Shelf Research.</p>
<p>The data are shown in figures in the manuscript (Figures 6, 8 and 9).</p> Methods and Sampling: <p>Full details for collection and analyses of underway POM samples are provided by Holser et al., 2011 and Goñi et al., 2019 and Goñi et al., submitted. Brief summaries are provided below.</p>
<p>Samples for this study were collected aboard RV Oceanus using the surface underway scientific system.</p>
<p>Aboard the vessel we had access to uncontaminated seawater and collected samples at specific times that allowed us to determine location (latitude and longitude) and seawater characteristics (temperature and salinity) from the ships’ navigation and sensor panels. We used a semi-automated filtration system (SAFS) described by Goñi et al., (2019) connected to Oceanus surface underway water to collect particulate organic matter samples. Surface underway water was connected to the SAFS through a manual flow-control valve via opaque polyethylene tubing.&nbsp; A fly wheel flow meter was placed in-line and connected to a laptop computer using a data acquisition system to measure and record flows during the filtration stage. A switching valve with 8 ports was placed downstream from the flow meter and controlled by the laptop.&nbsp; Under stand-by conditions, flow was directed to the ‘waste’ port, which was fitted with unobstructed tubing that drained into one of the ship’s sinks and flowed back to sea.&nbsp; The 8-sample ports were fitted with tubing, quick-turn sockets&nbsp; and in-line stainless steel 13-mm Swinney filter holders.&nbsp; The flow from these filters was directed to the same sink as the ‘waste’ flow.&nbsp; In each holder, we placed one pre-combusted (400 oC for 3 hours) 13-mm glass fiber filter supported by a stainless steel screen and locked into place with a Teflon o-ring that prevents leakage and results in a filtration area of 78.5 mm<sup>2</sup>. Once filters were fitted in each of the sample ports, the filtration program was started to collect samples at selected intervals.</p>
<p>Once the filtration run was completed, the filter housings were removed from the SAFS, opened, and each individual filter folded into pre-cleaned silver capsules, which were placed into sample trays that were frozen until CN analyses.&nbsp; Each sample was assigned a specific time stamp (start-end of filtration process) that coincided with the ship’s clock and allowed us to retrieve location and oceanographic data for each sample, as well as determine an overall filtration volume, which was used to calculate particulate nitrogen and carbon concentrations once their contents were determined.&nbsp; During normal operations, we stacked two filter holders at specific positions in order to collect both particles from a sample using the first filter as well as measure blanks associated with dissolved organic matter sorption as filtered water goes through the second filter.</p>
<p>Carbon and nitrogen analyses were conducted using high temperature combustion/reduction according to Holser et al., 2011 and Goñi et al., 2019. Sample and blank filters were exposed to concentrated hydrochloric acid fumes to remove carbonates and run in two CN analyzers (NC2500 Thermoquest and ECS 4010 Costech) using the manufacturers’ recommendations for carbon and nitrogen analyses (e.g., specified temperatures for combustion and reduction furnaces, O2 loops/pressure, and the use of a water trap). In each run of a full auto-sampler, we typically included 6 standards (e.g., cystine, atropine) with different and known amounts of carbon and nitrogen to develop distinct calibration curves for each run. All filters were treated the same and we used the DOM blanks to correct for DOC and DN sorption. Detection limits for OC and N were 0.04 and 0.03 micromoles, respectively. Replicate analyses of selected samples yielded average standard errors for both measurements of ~2% of measured values.</p>
<p>References cited: Holser <em>et al., </em>2011; Goñi <em>et al.,</em> 2019; Goñi <em>et al., </em>submitted.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1459480 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1459480
completed
Miguel A. Goni
Oregon State University
541-737-0578
104 CEOAS Admin Bldg.
Corvallis
OR
97331
US
mgoni@coas.oregonstate.edu
pointOfContact
Angelicque E. White
University of Hawaiʻi at Mānoa
808-956-6220
1950 East West Rd.
Honolulu
HI
USA
aewhite@hawaii.edu
pointOfContact
Emmanuel Alegria
Oregon State University
pointOfContact
Elizabeth R. Corvi
Oregon State University
corvie@onid.orst.edu
pointOfContact
Katie Watkins-Brandt
Oregon State University
541-737-5229
Oregon
USA
kwatkins@coas.oregonstate.edu
pointOfContact
Kylie A. Welch
Oregon State University
welchk@oregonstate.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Latitude
Longitude
Date_Time_PST
Temperature
Salinity
PN
POC
Beam_attenuation
ISO_DateTime_UTC
SBE 38
SBE 45 thermosalinograph
SBE 48
WET Labs C-Star transmissometer
theme
None, User defined
Cruise identfier
latitude
longitude
date_local
temperature of sample or a generic measurement (not in-situ water temp)
salinity
particulate organic nitrogen
particulate organic Carbon (POC)
beam attenuation
ISO_DateTime_UTC
featureType
BCO-DMO Standard Parameters
Sea-Bird SBE 38 Remote Digital Immersion Thermometer
Sea-Bird SBE 45 MicroTSG Thermosalinograph
Sea-Bird SBE 48 Hull Temperature Sensor
WET Labs {Sea-Bird WETLabs} C-Star transmissometer
instrument
BCO-DMO Standard Instruments
OC1701A
OC1611B
OC1603B
OC1602A
OC1601A
service
Deployment Activity
Oregon Coast (47-43 N, 126-124 W)
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.
Coastal Ocean Carbon Cycling during Wintertime Conditions
https://osprey.bco-dmo.org/project/772630
Coastal Ocean Carbon Cycling during Wintertime Conditions
<p><em>NSF Award Abstract:</em><br />
As is true for many coastal regions worldwide, the Pacific Northwest margin is characterized by intense seasonal contrasts in conditions controlling carbon flux between the atmosphere, land, and ocean. During the wintertime, rapid and intense flooding of small coastal rivers and the associated inputs of freshwater, nutrients, and organic matter are commonplace in the Pacific Northwest. Impacts of these wintertime terrestrial-ocean transfers by small, flood-prone rivers on the upwelling regions, such as the Pacific Northwest, have been underestimated at both global and regional scales. In order to gain a complete and predictive understanding of carbon cycling in ocean margins, the biogeochemistry of periods of intense terrestrial-ocean transfers needs to be comprehensively studied. This project will evaluate the dynamics of organic matter cycling along an upwelling-dominated margin during the wintertime period of active terrestrial inputs and biological cycling using a combination of shipboard, glider, moored and remote measurements. New developments in ocean observational technologies through the Ocean Observatories Initiative (OOI)* and existing scientific infrastructure along the Oregon coast will be instrumental in achieving this goal. This work will provide research opportunities for undergraduate and graduate students, and outreach will be conducted through the Centers for Ocean Science Education Excellence Pacific Partnership, local coastal community colleges, and interpretative centers such as Oregon State University Hatfield Center, the Umpqua Discovery Center, and Oregon Coast Aquarium in an effort to educate students and the public about the research.</p>
<p>Globally, most studies of carbon cycling in eastern boundary regimes have focused on the upwelling phase during the summer months, resulting in a much poorer understanding of non-upwelling periods. As is many coastal upwelling systems, wintertime conditions along the Pacific Northwest margin are characterized by southerly, downwelling-favorable winds and moisture-laden storms that result in seasonal flooding by the numerous small to medium-sized rivers in the region. Elevated discharges by these coastal rivers translate into large inputs of land-derived biogeochemical relevant constituents, including freshwater, dissolved inorganic nutrients, and dissolved and particulate organic matter, which collectively rival or exceed those of the Columbia River. To understand the impact of flood-derived terrestrial inputs on the biogeochemistry of the coastal zone along the Pacific Northwest margin, researchers will conduct a detailed investigation of biogeochemical processes in the water column along the Newport Hydrographic Line off the central Oregon coast during fall/winter conditions. The project includes an intensive field effort that takes advantage of ship-based and autonomous platforms to gain comprehensive wintertime coverage. Among the project outcomes, this effort will lead to a revised paradigm of the biogeochemical drivers of carbon cycling in coastal margins.</p>
<p>*The Ocean Observatories Initiative (OOI) is an NSF-funded, networked infrastructure of science-driven sensor systems to measure the physical, chemical, geological and biological variables in the ocean and seafloor. For more information about OOI, please visit the website: <a href="http://www.oceanobservatories.org">www.oceanobservatories.org</a></p>
CCAW
largerWorkCitation
project
eng; USA
oceans
Oregon Coast (47-43 N, 126-124 W)
-125.0027
-124.0017
43.49702
45.73821
2016-01-23
2017-01-16
Oregon Coast (47-43 N, 126-124 W)
0
BCO-DMO catalogue of parameters from Particulate organic matter data set from samples collected using ship’s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017.
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/818023.rdf
Name: Cruise
Units: unitless
Description: <p>Cruise designation</p>
http://lod.bco-dmo.org/id/dataset-parameter/818024.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude measured by ship’s navigation system for sample/data collection, southern hemisphere is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/818025.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude as measured by ship’s navigation system for sample/data collection, western hemisphere is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/818026.rdf
Name: Date_Time_PST
Units: unitless
Description: <p>Date and time of sample and data collection (pacific standard time)</p>
http://lod.bco-dmo.org/id/dataset-parameter/818027.rdf
Name: Temperature
Units: degrees Celsius (°C)
Description: <p>Temperature in degrees Celsius measured at seachest in ship’s underway system at the time of sample collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/818028.rdf
Name: Salinity
Units: unitless
Description: <p>Salinity measured by TSG lab unit in ship’s underway system at the time of sample collection</p>
http://lod.bco-dmo.org/id/dataset-parameter/818029.rdf
Name: PN
Units: micromoles N per liter of water (um/L)
Description: <p>Particulate Nitrogen concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. Concentrations have been blank corrected.</p>
http://lod.bco-dmo.org/id/dataset-parameter/818030.rdf
Name: POC
Units: micromoles C per liter of water (um/L)
Description: <p>Particulate Organic Carbon concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. Concentrations have been blank corrected.</p>
http://lod.bco-dmo.org/id/dataset-parameter/818031.rdf
Name: Beam_attenuation
Units: 1/m
Description: <p>Corrected beam attenuation values measured at the time of sample collection by Oceanus Wetlabs C-STAR transmissometer installed inline the ship’s underway system. Corrected values for beam attenuation were determined using the approach described in Goñi et al., submitted, Goñi et al., 2019 and Holser et al., 2011.</p>
http://lod.bco-dmo.org/id/dataset-parameter/818032.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>Date and time of sample and data collection in UTC, standard ISO format (yyyy-mm-ddThh:mmZ)</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
32261
https://darchive.mblwhoilibrary.org/bitstream/1912/25986/1/dataset-817952_underway-pom__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.817952.1
download
onLine
dataset
<p>Full details for collection and analyses of underway POM samples are provided by Holser et al., 2011 and Goñi et al., 2019 and Goñi et al., submitted. Brief summaries are provided below.</p>
<p>Samples for this study were collected aboard RV Oceanus using the surface underway scientific system.</p>
<p>Aboard the vessel we had access to uncontaminated seawater and collected samples at specific times that allowed us to determine location (latitude and longitude) and seawater characteristics (temperature and salinity) from the ships’ navigation and sensor panels. We used a semi-automated filtration system (SAFS) described by Goñi et al., (2019) connected to Oceanus surface underway water to collect particulate organic matter samples. Surface underway water was connected to the SAFS through a manual flow-control valve via opaque polyethylene tubing.&nbsp; A fly wheel flow meter was placed in-line and connected to a laptop computer using a data acquisition system to measure and record flows during the filtration stage. A switching valve with 8 ports was placed downstream from the flow meter and controlled by the laptop.&nbsp; Under stand-by conditions, flow was directed to the ‘waste’ port, which was fitted with unobstructed tubing that drained into one of the ship’s sinks and flowed back to sea.&nbsp; The 8-sample ports were fitted with tubing, quick-turn sockets&nbsp; and in-line stainless steel 13-mm Swinney filter holders.&nbsp; The flow from these filters was directed to the same sink as the ‘waste’ flow.&nbsp; In each holder, we placed one pre-combusted (400 oC for 3 hours) 13-mm glass fiber filter supported by a stainless steel screen and locked into place with a Teflon o-ring that prevents leakage and results in a filtration area of 78.5 mm<sup>2</sup>. Once filters were fitted in each of the sample ports, the filtration program was started to collect samples at selected intervals.</p>
<p>Once the filtration run was completed, the filter housings were removed from the SAFS, opened, and each individual filter folded into pre-cleaned silver capsules, which were placed into sample trays that were frozen until CN analyses.&nbsp; Each sample was assigned a specific time stamp (start-end of filtration process) that coincided with the ship’s clock and allowed us to retrieve location and oceanographic data for each sample, as well as determine an overall filtration volume, which was used to calculate particulate nitrogen and carbon concentrations once their contents were determined.&nbsp; During normal operations, we stacked two filter holders at specific positions in order to collect both particles from a sample using the first filter as well as measure blanks associated with dissolved organic matter sorption as filtered water goes through the second filter.</p>
<p>Carbon and nitrogen analyses were conducted using high temperature combustion/reduction according to Holser et al., 2011 and Goñi et al., 2019. Sample and blank filters were exposed to concentrated hydrochloric acid fumes to remove carbonates and run in two CN analyzers (NC2500 Thermoquest and ECS 4010 Costech) using the manufacturers’ recommendations for carbon and nitrogen analyses (e.g., specified temperatures for combustion and reduction furnaces, O2 loops/pressure, and the use of a water trap). In each run of a full auto-sampler, we typically included 6 standards (e.g., cystine, atropine) with different and known amounts of carbon and nitrogen to develop distinct calibration curves for each run. All filters were treated the same and we used the DOM blanks to correct for DOC and DN sorption. Detection limits for OC and N were 0.04 and 0.03 micromoles, respectively. Replicate analyses of selected samples yielded average standard errors for both measurements of ~2% of measured values.</p>
<p>References cited: Holser <em>et al., </em>2011; Goñi <em>et al.,</em> 2019; Goñi <em>et al., </em>submitted.</p>
Specified by the Principal Investigator(s)
<p>Data were acquired at approximately 1 Hz and then binned to correspond to the time stamps of discrete POM samples collected by the semi-automated filtration system (SAFS, see above). The transmission (Tr) data from the C-Star instrument (r = 0.25 m) was converted into beam attenuation coefficients (c = lnTr/r; m-1), which represent the sum of attenuation due to particles, water and colored dissolved organic matter. Particle beam attenuation data (Cp) were determined after correcting for the latter two by conducting attenuation measurements in low POC waters from offshore regions to adjust measured beam attenuation by an offset (e.g., Gardner et al., 2006). In the winter cruises, we verified these corrections by measuring beam attenuation signals of particle-free waters that were filtered through a 0.2 mm membrane filter (White et al. 2017; Slade et al. 2010). Navigation data were integrated into the sensor data set using the sample filtration time stamps to provide latitude and longitude information for each surface underway sample.</p>
<p>BCO-DMO processing notes:</p>
<ul>
<li>Concatenated all cruises</li>
<li>added ISO_DateTime_UTC column</li>
<li>Adjusted column names to comply with database requirements</li>
<li>Adjusted all Date_Time_PST rows to following notation: mm/dd/yyyy HH:MM</li>
</ul>
Specified by the Principal Investigator(s)
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
SBE 38
SBE 38
PI Supplied Instrument Name: SBE 38 PI Supplied Instrument Description:Surface water temperature was measured inside the ship by a flow-through system sensor (SBE 38). Instrument Name: Sea-Bird SBE 38 Remote Digital Immersion Thermometer Instrument Short Name:SBE 38 Instrument Description: Sea-Bird SBE 38 Remote Digital Immersion Thermometer is a seawater temperature sensor in a 10,500 meter (34,400 ft) titanium pressure housing. Real-time temperature data is transmitted in ASCII characters (degrees C or raw counts) via an RS-232 or optional RS-485 serial interface for display or logging by PC or data logger. The SBE 38's measurement range is -5 to +35 C; absolute accuracy is better than 0.001 C (1 mK) and resolution is approximately 0.00025 C (0.25 mK). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0191/
SBE 45 thermosalinograph
SBE 45 thermosalinograph
PI Supplied Instrument Name: SBE 45 thermosalinograph PI Supplied Instrument Description:Salinity was measured by a SBE 45 thermosalinograph installed inside the ship in line with the flow-through system. Instrument Name: Sea-Bird SBE 45 MicroTSG Thermosalinograph Instrument Short Name:SBE 45 MicroTSG Instrument Description: A small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor.
Sea Bird SBE 45 MicroTSG (Thermosalinograph) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0190/
SBE 48
SBE 48
PI Supplied Instrument Name: SBE 48 PI Supplied Instrument Description:Surface water temperature was measured outside the ship by a hull-mounted (3 m) sensor (SBE 48). Instrument Name: Sea-Bird SBE 48 Hull Temperature Sensor Instrument Short Name:SBE 48 Instrument Description: The SBE 48 is a high-accuracy temperature recorder with non-volatile memory, designed for shipboard determination of sea surface temperature. Installed with magnets just below the water line, the SBE 48's temperature sensor is in contact with the inside of the ship's hull. For more information, see the SBE48 Manual. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/134/
WET Labs C-Star transmissometer
WET Labs C-Star transmissometer
PI Supplied Instrument Name: WET Labs C-Star transmissometer PI Supplied Instrument Description:Particle beam attenuation (Cp) was measured by a 25-cm, 650 nm wavelength WET Labs C-Star transmissometer installed inside the ship in line with the flow-through system. Instrument Name: WET Labs {Sea-Bird WETLabs} C-Star transmissometer Instrument Short Name:WL CSTAR Trans Instrument Description: The C-Star transmissometer has a novel monolithic housing with a highly intgrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The C-Star is capable of free space measurements or flow-through sampling when used with a pump and optical flow tubes. The sensor can be used in profiling, moored, or underway applications. Available with a 6000 m depth rating.
More information on Sea-Bird website: https://www.seabird.com/c-star-transmissometer/product?id=60762467717 Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/
Cruise: OC1701A
OC1701A
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC1701A
Miguel A. Goni
Oregon State University
http://datadocs.bco-dmo.org/docs/CCAW/data_docs/cruise_reports/OC1701A_PCAR_103115.pdf
Report describing OC1701A
Cruise: OC1611B
OC1611B
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC1611B
Miguel A. Goni
Oregon State University
http://datadocs.bco-dmo.org/docs/CCAW/data_docs/cruise_reports/OC1611B_PCAR_103053.pdf
Report describing OC1611B
Cruise: OC1603B
OC1603B
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC1603B
Miguel A. Goni
Oregon State University
http://datadocs.bco-dmo.org/docs/CCAW/data_docs/cruise_reports/OC1603B_PCAR_102465.pdf
Report describing OC1603B
Cruise: OC1602A
OC1602A
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC1602A
Miguel A. Goni
Oregon State University
http://datadocs.bco-dmo.org/docs/CCAW/data_docs/cruise_reports/OC1602A_PCAR_102454.pdf
Report describing OC1602A
Cruise: OC1601A
OC1601A
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC1601A
Miguel A. Goni
Oregon State University
http://datadocs.bco-dmo.org/docs/CCAW/data_docs/cruise_reports/OC1601A_PCAR_102438.pdf
Report describing OC1601A
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel