http://lod.bco-dmo.org/id/dataset/672177
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
2016-12-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Water column particulate silica, standing stocks, and productivity rates from R/V Atlantic Explorer cruises AE1218, AE1228, AE1319, AE1322 in Bermuda, and NW Atlantic from 2012-2013 (Si_in_Syn project)
2016-01-05
publication
2016-01-05
revision
BCO-DMO Linked Data URI
2016-01-05
creation
http://lod.bco-dmo.org/id/dataset/672177
Jeffrey W. Krause
Dauphin Island Sea Lab
principalInvestigator
Mark A. Brzezinski
University of California-Santa Barbara
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: Krause, J. W., Brzezinski, M. A. (2016) Water column particulate silica, standing stocks, and productivity rates from R/V Atlantic Explorer cruises AE1218, AE1228, AE1319, AE1322 in Bermuda, and NW Atlantic from 2012-2013 (Si_in_Syn project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). Version Date 2016-01-05 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/672177 [access date]
Water column particulate silica, standing stocks, and productivity rates Dataset Description: <p>The data contain water column silica concentrations, silicic acid concentrations, and biomass-normalized biogenic silica production rates. &nbsp;Water samples were collected by R/V Atlantic Explorer cruises AE1218, AE1228, AE1319, and AE1322 between July of 2012 and October of 2013. &nbsp;The data include biogenic and lithogenic&nbsp;silica concentrations for particles greater than 3 um, and between 0.4 to 3 um.</p>
<p>These data were published in:</p>
<p>Krause, J.W., Brzezinski, M.A., Baines, S. B., Collier, J. L., Twining, B. S., Ohnemus, D. C.&nbsp; 2017.&nbsp; Picoplankton contribution to biogenic silica stocks and production rates in the Sargasso Sea.&nbsp; Global Biogeochemical Cycles 31, 762-774.&nbsp; doi: <a href="http://doi.org/10.1002/2017GB005619" target="_blank">10.1002/2017GB005619</a></p> Methods and Sampling: <p>Bottle samples were collected from CTD casts in the upper 200 m of the water column during R/V Atlantic Explorer cruises, some of which were Bermuda Atlantic Time-series cruises. Cruise AE1218 was BATS283, AE1228 was BATS286, and AE1322 was validation cruise BVAL048.</p>
<p>Silicic acid Si(OH)4 was analyzed using a sensitive manual colorimetric analysis as done previously in this region [Brzezinski and Nelson, 1995].&nbsp; Approximately 3 liters of water were filtered for particulate silica concentration through two successive in-line filter holders (47 mm diameter) with pore sizes of 3.0 um followed by 0.4 um, filters were dried at sea, and analyzed on shore using sequential NaOH and HF digestions [Brzezinski and Nelson, 1995], but using Teflon tubes for the digestions [Krause et al., 2009] which provide low and stable blank values.&nbsp;</p>
<p>The rate of biogenic silica production in both size classes was measured using the radioisotope tracer 32Si.&nbsp; 300 mL samples were incubated with high specific activity&nbsp;32Si(OH)4&nbsp;(&gt;40 kBq umol / Si).&nbsp; Rate samples were incubated on a surface-tethered array or in acrylic incubators cooled with continually flowing surface water since in situ arrays were not logistically feasible; a series of neutral density screens were used to simulate light levels at depth.&nbsp; After incubation, samples were processed immediately by filtering through 3.0 um and 0.4 um filters&nbsp;sequentially&nbsp;and drying filters on a nylon planchette.&nbsp;</p>
<p>Once dry, the filters and nylon planchette were covered with mylar and secured with a nylon ring.&nbsp; After secular equilibrium was achieved between&nbsp;32Si and its daughter isotope,&nbsp;32P (~120 days), sample activity was quantified via gas proportional counting using a GM&nbsp;Multicounter&nbsp;(Riso&nbsp;National Laboratory, Technical University of Denmark); this methodology [Krause et al., 2011] allows for higher precision and a lower detection limit than liquid scintillation counting and is useful for resolving small analytical signals in the picoplankton size fraction.</p>
<p><strong>These data were published in Global Biogeochemical Cycles:</strong><br />
Krause, J.W., Brzezinski, M.A., Baines, S. B., Collier, J. L., Twining, B. S., Ohnemus, D. C. &nbsp;Picoplankton contribution to biogenic silica stocks and production rates in the Sargasso Sea. &nbsp;2017. &nbsp;Global Biogeochemical Cycles. &nbsp;doi:&nbsp;<a href="http://doi.org/10.1002/2017GB005619" target="_blank">10.1002/2017GB005619</a></p>
<p><strong>References:&nbsp;</strong></p>
<p>Brzezinski, Mark A., and David M. Nelson. "The annual silica cycle in the Sargasso Sea near Bermuda."&nbsp;Deep Sea Research Part I: Oceanographic Research Papers&nbsp;42.7 (1995): 1215-1237. <a href="http://dx.doi.org/10.1016/0967-0637(95)93592-3" target="_blank">http://dx.doi.org/10.1016/0967-0637(95)93592-3</a></p>
<p>Krause, Jeffrey W., David M. Nelson, and Michael W. Lomas. "Biogeochemical responses to late-winter storms in the Sargasso Sea, II: Increased rates of biogenic silica production and export."&nbsp;Deep Sea Research Part I: Oceanographic Research Papers&nbsp;56.6 (2009): 861-874. <a href="http://dx.doi.org/10.1016/j.dsr.2009.01.002" target="_blank">http://dx.doi.org/10.1016/j.dsr.2009.01.002</a></p>
<p>Krause, Jeffrey W., Mark A. Brzezinski, and Janice L. Jones. "Application of low-level beta counting of 32 Si for the measurement of silica production rates in aquatic environments."&nbsp;Marine Chemistry&nbsp;127.1 (2011): 40-47. <a href="http://dx.doi.org/10.1016/j.marchem.2011.07.001" target="_blank">http://dx.doi.org/10.1016/j.marchem.2011.07.001</a></p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1335012 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1135012
completed
Jeffrey W. Krause
Dauphin Island Sea Lab
251-861-2141 x2289
101 Bienville Blvd
Dauphin Island
AL
36528
USA
jkrause@disl.edu
pointOfContact
Mark A. Brzezinski
University of California-Santa Barbara
805-893-7061
UCSB Marine Science Institute Bldg 520 Rm 4002 Fl 4L
Santa Barbara
CA
93106
USA
mark.brzezinski@lifesci.ucsb.edu
pointOfContact
asNeeded
Unknown
cruise_id
station
cast
ISO_DateTime_UTC
date_AST
time_AST
cast_max_depth
lat
lon
bottle_num
target_depth
silicic_acid
bSi_gt_3
bSi_4tenths_to_3
lSi_above_3
lSi_4tenths_to_3
Rho_above_3
Rho_4tenths_to_3
Vb_above_3
Vb_4tenths_to_3
CTD
GM Multicounter
theme
None, User defined
Cruise identfier
station
cast
ISO_DateTime_UTC
date
time of day
depth_cast
latitude
longitude
bottle
depth nominal
Silicate, Si(OH)4, silicic acid
biogenic silica concentration
Silicon
rate of biogenic silica production
featureType
BCO-DMO Standard Parameters
Bottle
CTD - profiler
GM multicounter
instrument
BCO-DMO Standard Instruments
AE1218
AE1228
AE1319
AE1322
service
Deployment Activity
Bermuda
NW Atlantic
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.
Understanding the Role of Picocyanobacteria in the Marine Silicate Cycle
https://osprey.bco-dmo.org/project/544555
Understanding the Role of Picocyanobacteria in the Marine Silicate Cycle
<p><em>Extracted from the NSF award abstract:</em></p>
<p>INTELECTUAL MERIT: The investigators will follow-up on their discovery of significant accumulation of silicon by marine picocyanobacteria of the genus Synechococcus to assess the contribution of these organisms to the cycling of biogenic silica in the ocean. Oceanographers have long assumed that diatoms are the dominant marine organisms controlling the cycling of silica in the ocean. Recently, however, single-cell analyses of picocyanobacterial cells from field samples surprisingly revealed the presence of substantial amounts of silicon within Synechococcus. The contribution of Synechococcus to biogenic silica often rivaled that of living diatoms in the two systems examined. Moreover, size fractionation of biogenic silica indicates that up to 25% of biogenic silica can exist in the picoplanktonic size fraction. Given that picocyanobacteria dominate phytoplankton biomass and primary production over much of the world's ocean, these findings raise significant questions about the factors controlling the marine silica cycle globally, as well as the proper interpretation of biogenic silica measurements, Si:N ratios in particulate matter, and ratios of silicate and nitrate depletion. It also suggests that picocyanobacterial populations may be subject to previously unknown constraints on their productivity.</p>
<p>The project will have both laboratory and field components. Because cellular Si varies substantially among the field-collected samples and laboratory strains so far analyzed, the laboratory component will document variability in Si uptake and cellular Si concentrations, while determining what role physiological and phylogenetic factors play in this variability. The investigators will use strains of Synechococcus for which there are already genome sequences. Laboratory experiments will 1) use 32Si radiotracer uptake experiments to assess the degree of variability in Si content and Si uptake kinetics among strains of Synechococcus acclimated to different levels of silicate, 2) characterize the intracellular distribution and chemistry of silicon within cells using fractionation techniques, density centrifugation, electron microscopy and x-ray absorption spectroscopy, and 3) use bioinformatic analyses of published genomes to determine whether uptake of Si can be predicted based on phylogenetic relationships, to identify candidate genes involved in cyanobacterial Si metabolism, and to develop probes for community structure that can be related to cellular Si content. Field work at the Bermuda Atlantic Time Series (BATS) site will assess the contribution of Synechococcus and diatoms to total biogenic silica in surface waters at times of the year when the former are typically dominant. Field measurements will include size fractionation of biogenic silica biomass and Si uptake, and synchrotron-based x-ray fluorescence microscopy, and the phylogenetic composition of the Synechococcus assemblage.</p>
<p>BROADER IMPACTS: This project has the potential to drive a major paradigm shift in our understanding of the marine silicon cycle. In addition, one PhD student will be trained at Stony Brook. Each PI will provide research experience to a number of undergraduates working on original research projects for credit, as a part of an REU program or as the basis for undergraduate theses. Stony Brook research programs for undergraduates are supported with summer research money from the Undergraduate Research and Creative Activities (URECA) program, and draw on its very diverse student body. The investigators will also engage promising high school level students through several residential programs that the PIs have been a part of in the past. These include the BLOOM program at Bigelow and the Simons Summer Research Fellowship Program at Stony Brook. The PI has continuing relationship with a regional high school (Brentwood) with a high proportion of underrepresented minorities. PI Twining is involved in the Café Scientifique program at Bigelow. Baines will engage in similar outreach through the Center for Science and Mathematics Education (CESAME) sponsored Open Science Nights. Finally, PI Baines will cooperate with CESAMEs teacher education programs, with the aim of incorporating biological oceanography into K-12 curricula. PIs Krause and Brzezinski will incorporate aspects of phytoplankton ecology into UCSB's Oceans to Classroom Program that brings marine research at UCSB to life for over 18,000 K-12 students each year.</p>
Si_in_Syn
largerWorkCitation
project
eng; USA
oceans
Bermuda; NW Atlantic
-69.20795
-63.38301
21.66985
42.02558
2012-07-11
2013-10-04
Samples collected in western North Atlantic Ocean between Puerto Rico, Bermuda, and Gulf of Maine.
0
BCO-DMO catalogue of parameters from Water column particulate silica, standing stocks, and productivity rates from R/V Atlantic Explorer cruises AE1218, AE1228, AE1319, AE1322 in Bermuda, and NW Atlantic from 2012-2013 (Si_in_Syn 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
http://lod.bco-dmo.org/id/dataset-parameter/674201.rdf
Name: cruise_id
Units: unitless
Description: <p>Cruise identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/674202.rdf
Name: station
Units: unitless
Description: <p>Sampling station identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/674203.rdf
Name: cast
Units: unitless
Description: <p>CTD cast identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/674204.rdf
Name: ISO_DateTime_UTC
Units: unitless
Description: <p>ISO timestamp based on the ISO 8601:2004(E) standard in format YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC)</p>
http://lod.bco-dmo.org/id/dataset-parameter/674205.rdf
Name: date_AST
Units: unitless
Description: <p>Date of sample (Atlantic Standard Time) in format yyyy-mm-dd</p>
http://lod.bco-dmo.org/id/dataset-parameter/674206.rdf
Name: time_AST
Units: unitles
Description: <p>Time of sample (Atlantic Standard Time) in format HH:MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/674207.rdf
Name: cast_max_depth
Units: meters
Description: <p>Maximum depth (nominal) of CTD cast</p>
http://lod.bco-dmo.org/id/dataset-parameter/674208.rdf
Name: lat
Units: decimal degrees
Description: <p>Latitude of CTD cast; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/674209.rdf
Name: lon
Units: decimal degrees
Description: <p>Longitude of CTD cast; west is negative</p>
http://lod.bco-dmo.org/id/dataset-parameter/674210.rdf
Name: bottle_num
Units: unitless
Description: <p>CTD water sample bottle number</p>
http://lod.bco-dmo.org/id/dataset-parameter/674211.rdf
Name: target_depth
Units: meters
Description: <p>Targeted depth of water sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/674212.rdf
Name: silicic_acid
Units: micromolar (uM)
Description: <p>Dissolved silicic acid Si(OH)4 concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/674213.rdf
Name: bSi_gt_3
Units: nanomoles per liter (nmol Si/L)
Description: <p>Size-fractionated biogenic silica concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/674214.rdf
Name: bSi_4tenths_to_3
Units: nanomoles per liter (nmol Si/L)
Description: <p>Size-fractionated biogenic silica concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/674215.rdf
Name: lSi_above_3
Units: nanomoles per liter (nmol Si/L)
Description: <p>Size-fractionated lithogenic silica concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/674216.rdf
Name: lSi_4tenths_to_3
Units: nanomoles per liter (nmol Si/L)
Description: <p>Size-fractionated lithogenic silica concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/674217.rdf
Name: Rho_above_3
Units: nanomoles per liter per day (nmol Si/L/d)
Description: <p>Size-fractionated gross biogenic silica production rate (Greek letter Rho)</p>
http://lod.bco-dmo.org/id/dataset-parameter/674218.rdf
Name: Rho_4tenths_to_3
Units: nanomoles per liter per day (nmol Si/L/d)
Description: <p>Size-fractionated gross biogenic silica production rate (Greek letter Rho)</p>
http://lod.bco-dmo.org/id/dataset-parameter/674219.rdf
Name: Vb_above_3
Units: reciprocal days (d-1)
Description: <p>Size-fractionated biomass-normalized biogenic silica production (Vb)</p>
http://lod.bco-dmo.org/id/dataset-parameter/674220.rdf
Name: Vb_4tenths_to_3
Units: reciprocal days (d-1)
Description: <p>Size-fractionated biomass-normalized biogenic silica production (Vb)</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
11111
https://datadocs.bco-dmo.org/file/7DDMm3oUEoWnPk/Si_field.csv
Si_field.csv
Primary data file for dataset ID 672177
download
https://osprey.bco-dmo.org/dataset/672177/data/download
download
onLine
dataset
<p>Bottle samples were collected from CTD casts in the upper 200 m of the water column during R/V Atlantic Explorer cruises, some of which were Bermuda Atlantic Time-series cruises. Cruise AE1218 was BATS283, AE1228 was BATS286, and AE1322 was validation cruise BVAL048.</p>
<p>Silicic acid Si(OH)4 was analyzed using a sensitive manual colorimetric analysis as done previously in this region [Brzezinski and Nelson, 1995].&nbsp; Approximately 3 liters of water were filtered for particulate silica concentration through two successive in-line filter holders (47 mm diameter) with pore sizes of 3.0 um followed by 0.4 um, filters were dried at sea, and analyzed on shore using sequential NaOH and HF digestions [Brzezinski and Nelson, 1995], but using Teflon tubes for the digestions [Krause et al., 2009] which provide low and stable blank values.&nbsp;</p>
<p>The rate of biogenic silica production in both size classes was measured using the radioisotope tracer 32Si.&nbsp; 300 mL samples were incubated with high specific activity&nbsp;32Si(OH)4&nbsp;(&gt;40 kBq umol / Si).&nbsp; Rate samples were incubated on a surface-tethered array or in acrylic incubators cooled with continually flowing surface water since in situ arrays were not logistically feasible; a series of neutral density screens were used to simulate light levels at depth.&nbsp; After incubation, samples were processed immediately by filtering through 3.0 um and 0.4 um filters&nbsp;sequentially&nbsp;and drying filters on a nylon planchette.&nbsp;</p>
<p>Once dry, the filters and nylon planchette were covered with mylar and secured with a nylon ring.&nbsp; After secular equilibrium was achieved between&nbsp;32Si and its daughter isotope,&nbsp;32P (~120 days), sample activity was quantified via gas proportional counting using a GM&nbsp;Multicounter&nbsp;(Riso&nbsp;National Laboratory, Technical University of Denmark); this methodology [Krause et al., 2011] allows for higher precision and a lower detection limit than liquid scintillation counting and is useful for resolving small analytical signals in the picoplankton size fraction.</p>
<p><strong>These data were published in Global Biogeochemical Cycles:</strong><br />
Krause, J.W., Brzezinski, M.A., Baines, S. B., Collier, J. L., Twining, B. S., Ohnemus, D. C. &nbsp;Picoplankton contribution to biogenic silica stocks and production rates in the Sargasso Sea. &nbsp;2017. &nbsp;Global Biogeochemical Cycles. &nbsp;doi:&nbsp;<a href="http://doi.org/10.1002/2017GB005619" target="_blank">10.1002/2017GB005619</a></p>
<p><strong>References:&nbsp;</strong></p>
<p>Brzezinski, Mark A., and David M. Nelson. "The annual silica cycle in the Sargasso Sea near Bermuda."&nbsp;Deep Sea Research Part I: Oceanographic Research Papers&nbsp;42.7 (1995): 1215-1237. <a href="http://dx.doi.org/10.1016/0967-0637(95)93592-3" target="_blank">http://dx.doi.org/10.1016/0967-0637(95)93592-3</a></p>
<p>Krause, Jeffrey W., David M. Nelson, and Michael W. Lomas. "Biogeochemical responses to late-winter storms in the Sargasso Sea, II: Increased rates of biogenic silica production and export."&nbsp;Deep Sea Research Part I: Oceanographic Research Papers&nbsp;56.6 (2009): 861-874. <a href="http://dx.doi.org/10.1016/j.dsr.2009.01.002" target="_blank">http://dx.doi.org/10.1016/j.dsr.2009.01.002</a></p>
<p>Krause, Jeffrey W., Mark A. Brzezinski, and Janice L. Jones. "Application of low-level beta counting of 32 Si for the measurement of silica production rates in aquatic environments."&nbsp;Marine Chemistry&nbsp;127.1 (2011): 40-47. <a href="http://dx.doi.org/10.1016/j.marchem.2011.07.001" target="_blank">http://dx.doi.org/10.1016/j.marchem.2011.07.001</a></p>
Specified by the Principal Investigator(s)
<p>“0” value in dataset indicates sample was below analytical detection.</p>
<p><strong>BCO-DMO Data Manager Processing Notes:</strong></p>
<p dir="ltr">* added a conventional header with dataset name, PI name, version date<br />
* modified parameter names to conform with BCO-DMO naming conventions<br />
* -999 values changed to 'nd'<br />
* limited lat lon to 5 decimal places<br />
* replaced blank spaces in station name with underscore<br />
* changed date and time format to yyyy-mm-dd and HH:MM<br />
* added column ISO_DateTime_UTC from provided Zulu date/time</p>
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
PI Supplied Instrument Name: Instrument Name: Bottle Instrument Short Name:Bottle Instrument Description: A container, typically made of glass or plastic and with a narrow neck, used for storing drinks or other liquids.
CTD
CTD
PI Supplied Instrument Name: CTD Instrument Name: CTD - profiler Instrument Short Name: Instrument Description: The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/130/
GM Multicounter
GM Multicounter
PI Supplied Instrument Name: GM Multicounter PI Supplied Instrument Description:GM Multicounter (Riso National Laboratory, Technical University of Denmark). Instrument Name: GM multicounter Instrument Short Name: Instrument Description: A gas flow multicounter (GM multicounter) is used for counting low-level beta doses. GM multicounters can be used for gas proportional counting of 32Si to 32P. For more information about GM multicounter usage see Krause et. al. 2011.
Cruise: AE1218
AE1218
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1218
James Sadler
Bermuda Institute of Ocean Sciences
Cruise: AE1228
AE1228
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1228
Rodney J. Johnson
Bermuda Institute of Ocean Sciences
Cruise: AE1319
AE1319
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1319
Michael W. Lomas
Bigelow Laboratory for Ocean Sciences
http://dmoserv3.whoi.edu/data_docs/Bio_CNP_Ratios/AE1319_Cruise_Report_09182013_reduced2.pdf
Report describing AE1319
Cruise: AE1322
AE1322
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE1322
Rodney J. Johnson
Bermuda Institute of Ocean Sciences
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel