http://lod.bco-dmo.org/id/dataset/3219
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
2010-06-16
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Production from R/V Oceanus cruises OC399-03, OC408-01, OC408-02 from the Northwestern Sargasso Sea roughly 35-28N and 58-68W, water depths always exceeded 4200m; 2004-2005 (NP project)
2009-12-07
publication
2009-12-07
revision
BCO-DMO Linked Data URI
2009-12-07
creation
http://lod.bco-dmo.org/id/dataset/3219
Michael W. Lomas
Bermuda Institute of Ocean Sciences
principalInvestigator
Nicholas Bates
Bermuda Institute of Ocean Sciences
principalInvestigator
Anthony Knap
Bermuda Institute of Ocean Sciences
principalInvestigator
Fredric Lipschultz
National Aeronautics and Space Administration (NASA) HQ
principalInvestigator
David M. Nelson
Institut Universitaire Européen de la Mer
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: Lomas, M. W., Bates, N., Nelson, D. M., Lipschultz, F., Knap, A. (2009) Production from R/V Oceanus cruises OC399-03, OC408-01, OC408-02 from the Northwestern Sargasso Sea roughly 35-28N and 58-68W, water depths always exceeded 4200m; 2004-2005 (NP project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 07Dec2009) Version Date 2009-12-07 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3219 [access date]
Production Dataset Description: <p>New Production - Production Data</p> Methods and Sampling: <p>Detailed methods for all data collected as part of this study can be found in one of the three<br />
publications arising from this study (references given below). This contains information on <br />
analytical machines and certified standards where applicable.<br />
<br />
Sample QA/QC procedures followed those of the Bermuda Atlantic Time-series Study (BATS).<br />
At the point of collection, any leaking niskin bottles were noted on the master cast sheets<br />
and samples were taken from a different niskin fired at the same depth as the leaking bottle.<br />
No data are reported for leaking Niskin bottles. During sample analysis standard curves and/or<br />
certified standards were carefully examined to ensure that they were consistent with expectations<br />
and accurate. Next, data were plotted as depth profiles and compared to a quality control window<br />
for the February/March period at BATS. The QC window consisted of the upper and lower 95% confidence<br />
limits based upon all data collected at BATS during February/March from 1989-2005. If our data<br />
fell well within these bounds it was considered 'acceptable'. For those data that fell near or<br />
outside the QC window, we went back to the original data run to ensure there was no miscalculation<br />
or other error. If nothing was found, then we examined other data from that niskin to see if other<br />
samples are in question. If no obvious error or problem was found, the data were considered OK and<br />
in the range of extremes that this study hoped to observe.<br />
<br />
Sample accuracy and precision. Sample accuracy was assessed by using certified standards, for those<br />
measurements where standards are available (dissolved oxygen, nutrients, salinity, dissolved inorganic<br />
and organic carbon). Certified standards were run with each analytical run and compared to long term<br />
control charts for respective analyses. Samples were not run until certified standards were shown to<br />
be accurate for that analytical run. Sample precision was determined by analyzing replicate samples<br />
(not replicate analyses on the same sample) and therefore is higher than analytical precision due to<br />
the inclusion of sampling error. At the concentrations observed during this study, sample precision<br />
was &lt;5% for stock measurements and &lt;10-15% for rate measurements. Some analyses, namely dissolved<br />
oxygen and salinity, were much better and often had a sample precisions &lt;1%. These precision estimates<br />
are consistent with the long term QA/QC seen with the BATS program.<br />
<br />
The provided data files are complete matrices and therefore not every sample (columns) will be taken<br />
from every Niskin fired (rows). Data that were either not collected, or were associated with leaking<br />
Niskins, or were found to be in error for other reasons are denoted by &quot;-nd&quot; in the spreadsheets.<br />
<br />
<b>References:</b><br />
<i>Detailed information on phytoplankton analysis.</i><br />
Lomas, M.W., Roberts, N., Lipschultz, F., Krause, J.W., Nelson, D.M., and Bates, N.R. 2009.<br />
Biogeochemical responses to late-winter storms in the Sargasso Sea. IV. Rapid succession of<br />
major phytoplankton groups.<br />
Deep Sea Research I, 56: 892-909.<br />
doi:10.1016/j.dsr.2009.03.004<br />
<br />
<i>Detailed information on all silica cycle measurements.</i><br />
Krause, J.W., Nelson, D.M., and Lomas, M.W. 2009. Biogeochemical responses to late-winter<br />
storms in the Sargasso Sea. 2009. II. Increased rates of biogenic silica production and export.<br />
Deep Sea Research I, 56: 861-875.<br />
doi:10.1016/j.dsr.2009.01.002<br />
<br />
Maiti, K., Benitez-Nelson, C.R., Lomas, M.W., and Krause, J. W. 2009. Biogeochemical responses<br />
to late-winter storms in the Sargasso Sea. IV. Comparison of Export Production by 234Th and<br />
Sediment Traps.<br />
Deep Sea Research I, 56: 875-892.<br />
doi:10.1016/j.dsr.2009.01.008<br />
<br />
<i>Detailed information on general biogeochemical measurements.</i><br />
Lomas, M.W., Lipschultz, F., Nelson, D.M., and Bates, N.R. 2009. Biogeochemical responses<br />
to late-winter storms in the Sargasso Sea. I. Pulses of new and primary production.<br />
Deep Sea Research I, 56: 843-861.<br />
doi:10.1016/j.dsr.2008.09.002</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0241662 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0241662
completed
Michael W. Lomas
Bermuda Institute of Ocean Sciences
207-315-2567 ext 311
60 Bigelow Drive PO Box 380
East Boothbay
ME
04544
United States
mlomas@bigelow.org
pointOfContact
Nicholas Bates
Bermuda Institute of Ocean Sciences
1-441-297-1880
17 Biological Lane GE 01
St. Georges
Bermuda
nick.bates@bios.edu
pointOfContact
Anthony Knap
Bermuda Institute of Ocean Sciences
441-297-1880 ext. 244 or 237
Bermuda Institute of Ocean Sciences 17 Biological Lane
St. George's
GE 01
Bermuda
tony.knap@bios.edu
pointOfContact
Fredric Lipschultz
National Aeronautics and Space Administration (NASA) HQ
202-358-1397
NASA HQ 300 E St. SW
Washington
DC
20546
USA
fred.lipschultz@nasa.gov
pointOfContact
David M. Nelson
Institut Universitaire Européen de la Mer
(33) 02 98 49 87 95
Place Nicolas Copernic IUEM Technopôle Brest-Iroise
29280 Plouzané
France
david.nelson@univ-brest.fr
pointOfContact
asNeeded
Dataset Version: 07Dec2009
Unknown
CruiseId
station
date
time
lon
lat
depth
whole_PP
pNH4
r_for_Si
V_for_Si
CTD Seabird 911
theme
None, User defined
cruise id
station
date
time of day
longitude
latitude
depth
No BCO-DMO term
N15 uptake rate
featureType
BCO-DMO Standard Parameters
CTD Sea-Bird 911
instrument
BCO-DMO Standard Instruments
OC399-03
OC408-01
OC408-02
service
Deployment Activity
Northwestern Sargasso Sea roughly 35-28N and 58-68W, Water depths always exceeded 4200m
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.
New Production During Winter Convective Mixing Events
http://www.bios.edu/Labs/pel/Research%20Pages/Research_NP.html
New Production During Winter Convective Mixing Events
<p><strong>New Production During Winter Convective Mixing Events: A Missing Component of Current Estimates</strong></p>
<p>Daily biogeochemical data collected during winter convection in the Sargasso Sea.</p>
<p>Photosynthetic uptake of CO2 by oceanic phytoplankton and the export of the resulting organic carbon to the deep sea comprise a 'biological pump' (Volk and Hoffert, 1985), capable of extracting globally significant amounts of CO2 from the atmosphere. As a consequence, it is important from the perspective of the global carbon cycle to understand both the present efficiency and the main controlling mechanisms of this important carbon pathway. In the open ocean the biological pump is driven by new production of organic matter (production supported by externally supplied nutrients) and export of that organic matter to depth. Many methods have been employed to estimate new production, with varying degrees of agreement.</p>
<p>In the Sargasso Sea, for example, geochemical estimates of new production largely exclude the winter mixing period (because their fundamental assumption are valid only during stratified periods). Biological methods suggest that the pre-stratification period can be as important, in terms of new production, as the remainder of the year. Those biological estimates are poorly constrained and based on sparse data. Because of the enormous spatial extent of subtropical gyres similar to the Sargasso Sea, uncertainty in the rate of new production and organic matter export in those systems leads to large uncertainty in biologically-driven carbon fluxes at the global-scale.</p>
<p>Short-term stochastic events are increasingly recognized as being disproportionately important for biogeochemical cycling and carbon storage in the ocean. Recent data suggest that in the Sargasso Sea, the passage of weather fronts leads to increased new production during the winter mixing period. We hypothesize that these events lead to enhanced NO3-input, followed by a rapid biological response and accumulation of biomass, and an equally rapid export of that biomass. This rapid export may be systematically missed by the 3-4 day particle trap deployments of the Bermuda Atlantic Time-series Study (BATS) because they are hypothesized to happen during or immediately after the passage of frontal systems, when the vessel used for the BATS sampling program does not leave port. Such events have, however, been captured as increases in the fluorometer traces at the Bermuda Testbed Mooring (BTM) and increases in organic carbon flux in the continuous Ocean Flux Program (OFP) sediment traps, both of which are deployed in the Sargasso Sea near Bermuda</p>
<p>We propose a process-oriented study of new production and its control during the period before formation of the seasonal thermocline in the BATS/BTM/OFP region near Bermuda. This study will be conducted during two 30-day cruises (one in 2004 and one in 2005) during the winter mixing period when the passage of these fronts is most common and when few data are available to constrain new production estimates. It will be crucial for this study to sample from a fully weather-capable research vessel, which can stay out and continue operations through most winter storms. We will use direct measurements of NO3-entrainment, NO3-uptake, phytoplankton community structure change, and dissolved and particulate organic matter export to elucidate the linkages between new production and export production as well as determine the main biological responses to short-term physical forcing. Particular emphasis will be placed on biogeochemically critical phytoplankton groups such as diatoms and coccolithophorids, which can exploit transiently favorable conditions of the kind we hypothesize to occur in late winter/early spring and which play a disproportionately large role in organic-matter export in many systems.</p>
<p>An understanding of ocean function is no longer important just to practicing ocean scientists. This project will provide information critical for biogeochemical modelers seeking to constrain future predictions of changes in the oceanic biological pump, and will also provide information of interest to students, teachers and the general public.</p>
<p>If in fact a significant, and previously unmeasured, amount of new production occurs in subtropical gyres during the winter mixing period, then biological processes in the central oceans play a greater role in the global carbon cycle - including regulation of atmospheric CO2 - than we recognize at present. Regardless of whether or not our study shows that this is the case, we will explain the results and their implications to graduate and undergraduate courses through the teaching programs at BBSR and OSU, to high-school and elementary-school teachers through a targeted teacher-training program at BBSR and to the broader public in seminars and other public presentations.</p>
<h3>Related files</h3>
<p><a href="http://data.bco-dmo.org/NewProduction/NP_Cruise_report_Oceanus399-03.pdf">OC399-3 Cruise Report</a><br /><a href="http://data.bco-dmo.org/NewProduction/NP_Cruise_report_Oceanus408-1and2.pdf">OC408-1,2 Cruise Report</a></p>
<p>
<strong>References:</strong><br /><em>Detailed information on phytoplankton analysis.</em><br />
Lomas, M.W., Roberts, N., Lipschultz, F., Krause, J.W., Nelson, D.M., and Bates, N.R. 2009.<br />
Biogeochemical responses to late-winter storms in the Sargasso Sea. IV. Rapid succession of<br />
major phytoplankton groups.<br />
Deep Sea Research I, 56: 892-909.<br />
doi:10.1016/j.dsr.2009.03.004</p>
<p><em>Detailed information on all silica cycle measurements.</em><br />
Krause, J.W., Nelson, D.M., and Lomas, M.W. 2009. Biogeochemical responses to late-winter<br />
storms in the Sargasso Sea. 2009. II. Increased rates of biogenic silica production and export.<br />
Deep Sea Research I, 56: 861-875.<br />
doi:10.1016/j.dsr.2009.01.002</p>
<p>Maiti, K., Benitez-Nelson, C.R., Lomas, M.W., and Krause, J. W. 2009. Biogeochemical responses<br />
to late-winter storms in the Sargasso Sea. IV. Comparison of Export Production by 234Th and<br />
Sediment Traps.<br />
Deep Sea Research I, 56: 875-892.<br />
doi:10.1016/j.dsr.2009.01.008</p>
<p><em>Detailed information on general biogeochemical measurements.</em><br />
Lomas, M.W., Lipschultz, F., Nelson, D.M., and Bates, N.R. 2009. Biogeochemical responses<br />
to late-winter storms in the Sargasso Sea. I. Pulses of new and primary production.<br />
Deep Sea Research I, 56: 843-861.<br />
doi:10.1016/j.dsr.2008.09.002</p>
<p> </p>
NP
largerWorkCitation
project
eng; USA
oceans
Northwestern Sargasso Sea roughly 35-28N and 58-68W, Water depths always exceeded 4200m
2009-12-07
Northwestern Sargasso Sea roughly 35-28N and 58-68W. Water depths always exceeded 4200m
0
BCO-DMO catalogue of parameters from Production from R/V Oceanus cruises OC399-03, OC408-01, OC408-02 from the Northwestern Sargasso Sea roughly 35-28N and 58-68W, water depths always exceeded 4200m; 2004-2005 (NP 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/19238.rdf
Name: CruiseId
Units: text
Description: Cruise Id
http://lod.bco-dmo.org/id/dataset-parameter/19239.rdf
Name: station
Units: integer
Description: CTD drop number
http://lod.bco-dmo.org/id/dataset-parameter/19240.rdf
Name: date
Units: YYYYMMDD
Description: date operation occurred (GMT)
http://lod.bco-dmo.org/id/dataset-parameter/19241.rdf
Name: time
Units: HHMM
Description: time operation occurred (GMT)
http://lod.bco-dmo.org/id/dataset-parameter/19242.rdf
Name: lon
Units: decimal degrees
Description: Longitude position (West is negative)
http://lod.bco-dmo.org/id/dataset-parameter/19243.rdf
Name: lat
Units: decimal degrees
Description: Latitude position (South is negative)
http://lod.bco-dmo.org/id/dataset-parameter/19244.rdf
Name: depth
Units: meters
Description: depth where Niskin was fired
http://lod.bco-dmo.org/id/dataset-parameter/19245.rdf
Name: whole_PP
Units: milligrams/meter^3/day
Description: whole primary production; carbon uptake
http://lod.bco-dmo.org/id/dataset-parameter/19246.rdf
Name: pNH4
Units: nanomoles/meter^3/day
Description: Nitrogen Uptake (15N)
http://lod.bco-dmo.org/id/dataset-parameter/19247.rdf
Name: r_for_Si
Units: nanomoles/meter^3/day
Description: Silicate uptake
http://lod.bco-dmo.org/id/dataset-parameter/19248.rdf
Name: V_for_Si
Units: h-1
Description: Specific Silicate uptake
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
28858
https://datadocs.bco-dmo.org/file/rggpG1oH8QGwwV/Production.csv
Production.csv
Primary data file for dataset ID 3219
download
https://www.bco-dmo.org/dataset/3219/data/download
download
onLine
dataset
<p>Detailed methods for all data collected as part of this study can be found in one of the three<br />
publications arising from this study (references given below). This contains information on <br />
analytical machines and certified standards where applicable.<br />
<br />
Sample QA/QC procedures followed those of the Bermuda Atlantic Time-series Study (BATS).<br />
At the point of collection, any leaking niskin bottles were noted on the master cast sheets<br />
and samples were taken from a different niskin fired at the same depth as the leaking bottle.<br />
No data are reported for leaking Niskin bottles. During sample analysis standard curves and/or<br />
certified standards were carefully examined to ensure that they were consistent with expectations<br />
and accurate. Next, data were plotted as depth profiles and compared to a quality control window<br />
for the February/March period at BATS. The QC window consisted of the upper and lower 95% confidence<br />
limits based upon all data collected at BATS during February/March from 1989-2005. If our data<br />
fell well within these bounds it was considered 'acceptable'. For those data that fell near or<br />
outside the QC window, we went back to the original data run to ensure there was no miscalculation<br />
or other error. If nothing was found, then we examined other data from that niskin to see if other<br />
samples are in question. If no obvious error or problem was found, the data were considered OK and<br />
in the range of extremes that this study hoped to observe.<br />
<br />
Sample accuracy and precision. Sample accuracy was assessed by using certified standards, for those<br />
measurements where standards are available (dissolved oxygen, nutrients, salinity, dissolved inorganic<br />
and organic carbon). Certified standards were run with each analytical run and compared to long term<br />
control charts for respective analyses. Samples were not run until certified standards were shown to<br />
be accurate for that analytical run. Sample precision was determined by analyzing replicate samples<br />
(not replicate analyses on the same sample) and therefore is higher than analytical precision due to<br />
the inclusion of sampling error. At the concentrations observed during this study, sample precision<br />
was &lt;5% for stock measurements and &lt;10-15% for rate measurements. Some analyses, namely dissolved<br />
oxygen and salinity, were much better and often had a sample precisions &lt;1%. These precision estimates<br />
are consistent with the long term QA/QC seen with the BATS program.<br />
<br />
The provided data files are complete matrices and therefore not every sample (columns) will be taken<br />
from every Niskin fired (rows). Data that were either not collected, or were associated with leaking<br />
Niskins, or were found to be in error for other reasons are denoted by &quot;-nd&quot; in the spreadsheets.<br />
<br />
<b>References:</b><br />
<i>Detailed information on phytoplankton analysis.</i><br />
Lomas, M.W., Roberts, N., Lipschultz, F., Krause, J.W., Nelson, D.M., and Bates, N.R. 2009.<br />
Biogeochemical responses to late-winter storms in the Sargasso Sea. IV. Rapid succession of<br />
major phytoplankton groups.<br />
Deep Sea Research I, 56: 892-909.<br />
doi:10.1016/j.dsr.2009.03.004<br />
<br />
<i>Detailed information on all silica cycle measurements.</i><br />
Krause, J.W., Nelson, D.M., and Lomas, M.W. 2009. Biogeochemical responses to late-winter<br />
storms in the Sargasso Sea. 2009. II. Increased rates of biogenic silica production and export.<br />
Deep Sea Research I, 56: 861-875.<br />
doi:10.1016/j.dsr.2009.01.002<br />
<br />
Maiti, K., Benitez-Nelson, C.R., Lomas, M.W., and Krause, J. W. 2009. Biogeochemical responses<br />
to late-winter storms in the Sargasso Sea. IV. Comparison of Export Production by 234Th and<br />
Sediment Traps.<br />
Deep Sea Research I, 56: 875-892.<br />
doi:10.1016/j.dsr.2009.01.008<br />
<br />
<i>Detailed information on general biogeochemical measurements.</i><br />
Lomas, M.W., Lipschultz, F., Nelson, D.M., and Bates, N.R. 2009. Biogeochemical responses<br />
to late-winter storms in the Sargasso Sea. I. Pulses of new and primary production.<br />
Deep Sea Research I, 56: 843-861.<br />
doi:10.1016/j.dsr.2008.09.002</p>
Specified by the Principal Investigator(s)
<p>Most of the data given in this dataset are not derived variables and are calculated using reasonably<br />
standard equations as given in the appropriate reference above. The one exception is CTD data.<br />
Raw CTD data were processed using SBE-Data Processing software using configuration and calibration<br />
files provided by the Shipboard Science technician. Sensors were calibrated shortly before each cruise,<br />
however, most sensor data were 'calibrated' using data collected in this project. Manual determinations<br />
of dissolved oxygen, salinity and HPLC Chlorophyll a, once passing the above QA/QC steps, were taken<br />
as correct. CTD sensor data was regressed against the appropriate manual variable. In all cases save 1,<br />
regression statistics were very strong and linear, and represent an offset (y-intercept) and drop in<br />
sensitivity (slope of the regression). CTD data were corrected to manual measurements using the regression<br />
data and it is this corrected data that is given in the associated data files. OCE399-3 had a problem<br />
with the dissolved oxygen sensor that could not be resolved so only manual oxygen data are reported for<br />
that cruise.<br />
<br />
Only nutrient analyses were close to analytical method detection limits (MDL). MDLs were estimated as 3x<br />
the standard deviation of the lowest standard used for the analysis and are 1.5nM for nitrate and nitrite<br />
using a standard autoanalyzer with a 1m fiber optic flow cell, ~20nM for phosphate on a standard autoanalyzer,<br />
and &lt;100nM for Si(OH)4 by manual analysis and a 10cm cuvette. Samples below the MDL are reported as calculated<br />
for the reason that they somewhere between the MDL and a true zero; we consider listing them as either to be<br />
incorrect. Carbon productivity rate measurements, particularly at the base of the euphotic or below, on<br />
occasion are negative due to subtraction of the dark incubated sample from the light incubated sample.<br />
This was not considered below the MDL because there is a reasonable explanation for negative values.<br />
These measurements were ~14h deployments and it is possible that at very low light there can be less 14C<br />
in the light bottles due to grazing, than in the dark bottles that are subtracted from the light bottles.<br />
Moreover, light and dark respiration rates are not the same and therefore this correction is not a perfect<br />
correction for inherent respiration by the autotrophs. <br />
<br />
<b>BCO-DMO Edits</b><br />
- Parameter names modified to conform to BCO-DMO convention<br />
- CruiseId, date, time, lat, lon added from event log<br />
- Changed parameter name 15N to pNH4 (refer to US JGOFS Dictionary of Parameters)<br />
- NOTE: OC408-2 Station 62 is CTD Out date, time, lat, lon (no posit for CTD In)<br />
- OC408-2, Station 67 latitude corrected from 13 to 31 degs</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
CTD Seabird 911
CTD Seabird 911
PI Supplied Instrument Name: CTD Seabird 911 PI Supplied Instrument Description:SBE 911+ Deck Unit and CTD Rosette Instrument Name: CTD Sea-Bird 911 Instrument Short Name:CTD SBE 911 Instrument Description: The Sea-Bird SBE 911 is a type of CTD instrument package. The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with 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/TOOL0035/
Cruise: OC399-03
OC399-03
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC399-03
Michael W. Lomas
Bermuda Institute of Ocean Sciences
http://data.bco-dmo.org/NewProduction/NP_Cruise_report_Oceanus399-03.pdf
Report describing OC399-03
Cruise: OC408-01
OC408-01
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC408-01
Michael W. Lomas
Bermuda Institute of Ocean Sciences
http://data.bco-dmo.org/NewProduction/NP_Cruise_report_Oceanus408-1and2.pdf
Report describing OC408-01
Cruise: OC408-02
OC408-02
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel
OC408-02
Michael W. Lomas
Bermuda Institute of Ocean Sciences
http://data.bco-dmo.org/NewProduction/NP_Cruise_report_Oceanus408-1and2.pdf
Report describing OC408-02
R/V Oceanus
Community Standard Description
International Council for the Exploration of the Sea
R/V Oceanus
vessel