http://lod.bco-dmo.org/id/dataset/964606
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
2025-06-11
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Dissolved Nutrient Analyses for CTD water rosette samples and AUV Sentry/SUPR samples in the hydrothermal plumes emanating from the Main Endeavor region of the Juan de Fuca Ridge collected from R/V Atlantis cruise AT50-15 from Aug 28 to Sep 15 2023
2025-07-15
publication
2025-07-15
revision
BCO-DMO Linked Data URI
2025-07-15
creation
http://lod.bco-dmo.org/id/dataset/964606
John Breier
University of Texas Rio Grande Valley
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: Breier, J. (2025) Dissolved Nutrient Analyses for CTD water rosette samples and AUV Sentry/SUPR samples in the hydrothermal plumes emanating from the Main Endeavor region of the Juan de Fuca Ridge collected from R/V Atlantis cruise AT50-15 from Aug 28 to Sep 15 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-07-15 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/964606 [access date]
Dissolved Nutrient Analyses for CTD water rosette and AUV Sentry/SUPR Samples Dataset Description: Methods and Sampling: <p>Samples were collected in two different ways with two different instruments and these methods are identified in the data file. One method collected whole water samples as vertical profiles with a trace metal grade water rosette. The other method collected water samples with AUV Sentry equipped with a SUPR in situ sample collection system.</p>
<p>Samples collected with CTD water rosette were collected as whole water and filtered through 0.2 um Sterivex PES filters on deck and frozen until analysis.</p>
<p>Samples collected with AUV Sentry/SUPR sampler were filtered in situ through 0.2 um SUPR PES filters and the filtrate was subsampled for nutrient aliquots in a shipboard laboratory and frozen until analysis. These samples were collected in horizontal surveys as the AUV flew a gridded survey through plume depths. The AUV samples were collected while the AUV was in motion and since they were also filtering for particulate material for separate analyses, the associated water samples are an integrated mixture of waters from segments of the survey line and not point samples.</p>
<p>The coverage for either modes of collection are variable as we were targeting hydrothermal plume anomalies.&nbsp;All nutrient samples were analyzed for dissolved silicate, orthophosphate, nitrate, nitrite, and ammonium in seawater by standard methods for oceanographic nutrient samples at the UC San Diego Oceanographic Data Facility (Becker et al. 2019).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851208 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851208
onGoing
John Breier
University of Texas Rio Grande Valley
jbreier@whoi.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
CRUISE_ID
CRUISE_NAME
SENTRY_SUPR_DIVE
DATE
START_EVENT
ISO_DateTime_UTC_START_EVENT
END_EVENT
ISO_DateTime_UTC_END_EVENT
START_EVENT_LAT
START_EVENT_LON
END_EVENT_LAT
END_EVENT_LON
STNNBR
FEATURE
FEATURE_COMMENTS
SAMPLE_METHOD
EVENT
SUPR_PORT
SUPR_BOTTLE
SUPR_FILTERED_VOLUME
CTD_CAST
CTD_ROSETTE_POSITION
CTD_NISKIN_BOTTLE
CRUISE_SAMPNO
LOCATION_FLAG
DEPTH
CTD_ROSETTE_ACTUAL_DEPTH
BOTTOM_DEPTH
SILICATE_CONC
PHOSPHATE_CONC
NITRATE_CONC
NITRITE_CONC
AMMONIUM_CONC
NUTRIENT_LAB_TEMP
NUTRIENT_FLAG
KNOWN_CTD_BOTTLE_ISSUE
KNOWN_SUPR_PORT_ISSUE
AUV Sentry/SUPR sampler
CTD water rosette
theme
None, User defined
Cruise identfier
cruise name
dive_id
date
time begin
ISO_DateTime_UTC
time_end
latitude
longitude
station
site description
instrument
No BCO-DMO term
bottle
volume
cast
sample identification
comments
depth
depth_w
Silicate, Si(OH)4, silicic acid
phosphate
Nitrate
Nitrite
Ammonium
air temperature
featureType
BCO-DMO Standard Parameters
AUV Sentry
CTD Sea-Bird SBE 911plus
Seal Analytical AutoAnalyser 3HR
instrument
BCO-DMO Standard Instruments
AT15-15
service
Deployment Activity
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?
https://osprey.bco-dmo.org/project/897794
Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?
<p><em>NSF Award Abstract:</em><br />
Like volcanoes on land, the mid-ocean ridges that cross the ocean floor are not continuously erupting; however, the magmatic heat present just beneath the surface can continue to drive hot springs, just like the ones found within the crater of the "super volcano" at Yellowstone. In our recent work, we have shown that the chemicals released into the oceans from seafloor hot-springs can be dispersed all across the oceans. Now our interest has focused in on one element in particular, iron. This is one of the most abundant elements in every planetary body in the Universe yet it is vanishingly rare in Earth's oceans today. Set against that, it is essential to just about every form of life on Earth from the simplest and most ancient strains of microbes to the most complex animals including humans. In Earth's oceans, the lack of this "essential micro-nutrient" has been found to limit how much life can flourish near both the south and north poles in the Pacific Ocean in the sunlit surface ocean even though the supply of sunlight and other major nutrients (phosphorous, nitrogen) should be more than adequate. Our newest research suggests that iron released from hydrothermal plumes (where the concentrations coming from vents are more than 1 million times higher than normal ocean water) could play a major role. Despite undergoing massive dilution as hydrothermal solutions leave the vents and traverse thousands of kilometers through the oceans, we believe that at least some of the iron released from deep sea hot springs can survive this journey and make a significant impact on how much live exists in Earth's polar oceans and how much CO2 it draws down from the atmosphere. To investigate that idea, this project will study the fate of iron released from a hydrothermal vent over a length scale that hasn't been studied before - from the first 1km through the ocean out to 100km away from the vent-site. This will fill a gap in our knowledge between what happens right at a vent-site (as studied by research submarines) and what happens to ocean chemistry all across Earth's entire ocean basins (as studied by a huge international research project called GEOTRACES). Our work will use a 3D computational model to predict where the plume of material from a vent in the Northeast Pacific Ocean should escape to after it is erupted from some vents at a volcanic system called the Juan de Fuca Ridge. We will then use an advanced autonomous free-swimming robot to search out in the predicted plume area, first to test the accuracy of our predicted model and, second, to collect samples from the hydrothermal plume from where it first forms to as far out as we can follow it. The samples we collect will include both filtered seawater and the particulate material (whether mineralogical or microbiological) that we can extract from the filters. Together, this will allow us to track the fate of the iron and other key physical and geochemical tracers down-plume away from the vents, to work out where it ends up (in the water and in the sediments) and also how fast those processes happen. The work we do will also help plan how to conduct similar robotics-based exploration on future space missions beyond Earth where it has been hypothesized that seafloor events also exist (e.g. Saturn's moon Enceladus) and where, if we are really lucky, we may find that life is hosted based on the energy from seafloor volcanoes, just as happens here on Earth. We have a resident artist embedded in our program who has already begun experimenting with the use of air-flow and sound in her sculptures to help communicate the complex nature of these plumes. She will join our cruise, and work with our team post-cruise to design and hopefully build a sculpture that that could potentially result in a large and long-term outdoor installation.</p>
<p>The international GEOTRACES program has revealed that iron (Fe) is released ubiquitously from submarine ridges to the deep ocean. Results from US GEOTRACES section GP16 showed that both dissolved and particulate (colloidal) Fe may persist so far as to be able to influence primary productivity in High-Nutrient/Low-Chlorophyll (HNLC) regions of the Southern Ocean. As a complement to these sectional studies, we propose a detailed process study to elucidate the mechanisms by which hydrothermally sourced Fe can persist across the oceans at the scale that GEOTRACES has revealed. Specifically, while the "persistent" Fe in a hydrothermal plume appears to behave quasi-conservatively from 100km to 4000km across the SE Pacific Ocean, it is also known that the majority of the Fe present at the Southern EPR on that US GEOTRACES GP16 cruise did not persist over the 100km separation between that station and the next deep ocean station beyond the ridge crest. To fill that gap, this project will conduct a coupled modelling and field study to investigate the fate of hydrothermally sourced Fe at ranges of 0-1, 1-10 and 10-100km down-plume away from a well established vent-source. To begin, we will use the detailed micro-bathymetry and the long-term current meter data available from the Main Endeavour Segment of the Juan de Fuca Ridge to implement a recently developed 3D theoretical plume dispersion model that can predict both the detailed 3D dispersion trajectory and the rate of flow within the hydrothermal plume away from two long-studied and well characterized Main Endeavour Field (MEF) vents. At sea, we will use that predictive model to guide Sentry autonomous underwater vehicle (AUV) surveys that will follow the plume "down-wind" and "across-plume" to compile a 3D survey using in-situ sensors [optical, redox, conductivity, temperature, depth (CTD)] that will allow us to (1) confirm (and better constrain) the predictive model, and to (2) map out the shape and trajectory of the plume to provide context for discrete water column samples that we will collect - both from the AUV and from a trace metal clean CTD-rosette. Sampling from the AUV will use the latest generation of SUPR samplers designed for the CLIO trace-metal-clean water sampler. This will suffice for samples of dissolved, colloidal and particulate trace metals and collection of filtered material for grain-by-grain mineralogical and biogeochemical analyses. That sampling program will be backed up by larger volume sampling down-plume using a CTD-rosette to augment our AUV-based program with helium isotope analyses (to track extents of physical plume dilution at increasing distances downwind and across plume) and for complementary ligand and organic compound analyses to investigate the role that organic complexation might play in protecting reduced species of Fe [and manganese (Mn), too] against oxidative precipitation and removal from the oceanic water column. Post cruise, our combination of biogeochemical measurements and improved 3D physical modelling will not only be able to provide new insights into the processes that control the fluxes of Fe and Mn to the oceans from hydrothermal venting but also the length scales over which those processes take effect. Finally, because our 3D theoretical model includes velocities, we also anticipate being able to deduce the rates at which these processes occur.</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>
Hydrothermal Estuaries
largerWorkCitation
project
eng; USA
oceans
-129.23504
-129.08133
47.91397
47.981919
2023-08-28
2023-09-15
Juan de Fuca Ridge
0
BCO-DMO catalogue of parameters from Dissolved Nutrient Analyses for CTD water rosette samples and AUV Sentry/SUPR samples in the hydrothermal plumes emanating from the Main Endeavor region of the Juan de Fuca Ridge collected from R/V Atlantis cruise AT50-15 from Aug 28 to Sep 15 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/968802.rdf
Name: CRUISE_ID
Units: unitless
Description: <p>Cruise ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/968803.rdf
Name: CRUISE_NAME
Units: unitless
Description: <p>Cruise Name</p>
http://lod.bco-dmo.org/id/dataset-parameter/968804.rdf
Name: SENTRY_SUPR_DIVE
Units: unitless
Description: <p>Sentry Dive ID</p>
http://lod.bco-dmo.org/id/dataset-parameter/968805.rdf
Name: DATE
Units: unitless
Description: <p>Date of collection, UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/968806.rdf
Name: START_EVENT
Units: unitless
Description: <p>Time sample collection started, UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/968807.rdf
Name: ISO_DateTime_UTC_START_EVENT
Units: unitless
Description: <p>Datetime sample collection started in ISO format, UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/968808.rdf
Name: END_EVENT
Units: unitless
Description: <p>Time sample collection ended, UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/968809.rdf
Name: ISO_DateTime_UTC_END_EVENT
Units: unitless
Description: <p>Datetime sample collection ended in ISO format, UTC</p>
http://lod.bco-dmo.org/id/dataset-parameter/968810.rdf
Name: START_EVENT_LAT
Units: decimal degrees
Description: <p>Latitude sample collection started</p>
http://lod.bco-dmo.org/id/dataset-parameter/968811.rdf
Name: START_EVENT_LON
Units: decimal degrees
Description: <p>Longitude sample collection started</p>
http://lod.bco-dmo.org/id/dataset-parameter/968812.rdf
Name: END_EVENT_LAT
Units: decimal degrees
Description: <p>Latitude sample collection ended</p>
http://lod.bco-dmo.org/id/dataset-parameter/968813.rdf
Name: END_EVENT_LON
Units: decimal degrees
Description: <p>Longitude sample collection ended</p>
http://lod.bco-dmo.org/id/dataset-parameter/968814.rdf
Name: STNNBR
Units: unitless
Description: <p>Station Number</p>
http://lod.bco-dmo.org/id/dataset-parameter/968815.rdf
Name: FEATURE
Units: unitless
Description: <p>Feature being sampled</p>
http://lod.bco-dmo.org/id/dataset-parameter/968816.rdf
Name: FEATURE_COMMENTS
Units: unitless
Description: <p>Comments on feature being sampled</p>
http://lod.bco-dmo.org/id/dataset-parameter/968817.rdf
Name: SAMPLE_METHOD
Units: unitless
Description: <p>Sampling method used (Trace Metal Rosette or AUV SENTRY+SUPR Sampler)</p>
http://lod.bco-dmo.org/id/dataset-parameter/968818.rdf
Name: EVENT
Units: unitless
Description: <p>Event</p>
http://lod.bco-dmo.org/id/dataset-parameter/968819.rdf
Name: SUPR_PORT
Units: unitless
Description: <p>SUPR port</p>
http://lod.bco-dmo.org/id/dataset-parameter/968820.rdf
Name: SUPR_BOTTLE
Units: unitless
Description: <p>SUPR bottle number</p>
http://lod.bco-dmo.org/id/dataset-parameter/968821.rdf
Name: SUPR_FILTERED_VOLUME
Units: liters
Description: <p>Volume filtered by SUPR</p>
http://lod.bco-dmo.org/id/dataset-parameter/968822.rdf
Name: CTD_CAST
Units: unitless
Description: <p>CTD cast number</p>
http://lod.bco-dmo.org/id/dataset-parameter/968823.rdf
Name: CTD_ROSETTE_POSITION
Units: unitless
Description: <p>Bottle position on CTD rosette</p>
http://lod.bco-dmo.org/id/dataset-parameter/968824.rdf
Name: CTD_NISKIN_BOTTLE
Units: unitless
Description: <p>CTD bottle number</p>
http://lod.bco-dmo.org/id/dataset-parameter/968825.rdf
Name: CRUISE_SAMPNO
Units: unitless
Description: <p>Sample number</p>
http://lod.bco-dmo.org/id/dataset-parameter/968826.rdf
Name: LOCATION_FLAG
Units: unitless
Description: <p>Flag with quality note relating to location</p>
http://lod.bco-dmo.org/id/dataset-parameter/968827.rdf
Name: DEPTH
Units: meters (m)
Description: <p>Depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/968828.rdf
Name: CTD_ROSETTE_ACTUAL_DEPTH
Units: meters (m)
Description: <p>CTD rosette actual depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/968829.rdf
Name: BOTTOM_DEPTH
Units: meters (m)
Description: <p>Depth to bottom from sampling depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/968830.rdf
Name: SILICATE_CONC
Units: µmol/L
Description: <p>Concentration of silicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/968831.rdf
Name: PHOSPHATE_CONC
Units: µmol/L
Description: <p>Concentration of phosphate</p>
http://lod.bco-dmo.org/id/dataset-parameter/968832.rdf
Name: NITRATE_CONC
Units: µmol/L
Description: <p>Concentration of nitrate</p>
http://lod.bco-dmo.org/id/dataset-parameter/968833.rdf
Name: NITRITE_CONC
Units: µmol/L
Description: <p>Concentration of nitrite</p>
http://lod.bco-dmo.org/id/dataset-parameter/968834.rdf
Name: AMMONIUM_CONC
Units: µmol/L
Description: <p>Concetration of ammonium</p>
http://lod.bco-dmo.org/id/dataset-parameter/968835.rdf
Name: NUTRIENT_LAB_TEMP
Units: Celsius
Description: <p>Temperature of nutrient lab</p>
http://lod.bco-dmo.org/id/dataset-parameter/968836.rdf
Name: NUTRIENT_FLAG
Units: unitless
Description: <p>Flag with quality note relating to nutrient levels</p>
http://lod.bco-dmo.org/id/dataset-parameter/968837.rdf
Name: KNOWN_CTD_BOTTLE_ISSUE
Units: unitless
Description: <p>Flag with quality note relating to CTD bottle issues</p>
http://lod.bco-dmo.org/id/dataset-parameter/968838.rdf
Name: KNOWN_SUPR_PORT_ISSUE
Units: unitless
Description: <p>Flag with quality note relating to SUPR port issues</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
https://osprey.bco-dmo.org/dataset/964606/data/download
download
onLine
dataset
<p>Samples were collected in two different ways with two different instruments and these methods are identified in the data file. One method collected whole water samples as vertical profiles with a trace metal grade water rosette. The other method collected water samples with AUV Sentry equipped with a SUPR in situ sample collection system.</p>
<p>Samples collected with CTD water rosette were collected as whole water and filtered through 0.2 um Sterivex PES filters on deck and frozen until analysis.</p>
<p>Samples collected with AUV Sentry/SUPR sampler were filtered in situ through 0.2 um SUPR PES filters and the filtrate was subsampled for nutrient aliquots in a shipboard laboratory and frozen until analysis. These samples were collected in horizontal surveys as the AUV flew a gridded survey through plume depths. The AUV samples were collected while the AUV was in motion and since they were also filtering for particulate material for separate analyses, the associated water samples are an integrated mixture of waters from segments of the survey line and not point samples.</p>
<p>The coverage for either modes of collection are variable as we were targeting hydrothermal plume anomalies.&nbsp;All nutrient samples were analyzed for dissolved silicate, orthophosphate, nitrate, nitrite, and ammonium in seawater by standard methods for oceanographic nutrient samples at the UC San Diego Oceanographic Data Facility (Becker et al. 2019).</p>
Specified by the Principal Investigator(s)
<p>For nutrient data, this is the primary data returned from the UC San Diego ODF facility, no other processing was done on this nutrient data.</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
AUV Sentry/SUPR sampler
AUV Sentry/SUPR sampler
PI Supplied Instrument Name: AUV Sentry/SUPR sampler PI Supplied Instrument Description:Samples collected with AUV Sentry/SUPR sampler were filtered in situ through 0.2 SUPR PES filters and the filtrate was subsampled for nutrient aliquots in a shipboard laboratory and frozen until analysis. SUPR sampling system deployed on AUV Sentry (Breier et al. 2014; Breier et al. 2020). Instrument Name: AUV Sentry Instrument Short Name:AUV Sentry Instrument Description: The autonomous underwater vehicle (AUV) Sentry is a fully autonomous underwater vehicle capable of exploring the ocean down to 6,000 meters (19,685 feet) depth. Sentry builds on the success of its predecessor the ABE, with improved speed, range, and maneuverability.
Sentry's hydrodynamic shape also allows faster ascents and descents. Sentry carries a superior science sensor suite and an increased science payload enabling it to be used for both mid-water and near-seabed oceanographic investigations. Sentry produces bathymetric, sidescan, subbottom, and magnetic maps of the seafloor and is capable of taking digital bottom photographs in a variety of deep-sea terrains such as mid-ocean ridges, deep-sea vents, and cold seeps at ocean margins. Sentry is uniquely able to operate in extreme terrain, including volcano caldera and scarps. Sentry's navigation system uses a doppler velocity log and inertial navigation system, aided by acoustic navigation systems (USBL or LBL). The USBL system also provides acoustic communications, which can be used to obtain the vehicle state and sensor status as well as to retask the vehicle while on the bottom. In addition its standard sensors, Sentry has carried a variety of science-supplied sensors, including the Nakamura redox potential probe, ACFR 3-D imaging system, and the Tethys in-situ mass spectrometer.
Sentry can be used to locate and quantify hydrothermal fluxes. Sentry is also capable of a much wider range of oceanographic applications due to its superior sensing suite, increased speed and endurance, improved navigation, and acoustic communications. Sentry can be used as a stand alone vehicle or in tandem with Alvin or an ROV to increase the efficiency of deep-submergence investigations.
More information is available from the operator site at URL: https://ndsf.whoi.edu/sentry/
CTD water rosette
CTD water rosette
PI Supplied Instrument Name: CTD water rosette PI Supplied Instrument Description:Samples collected with CTD water rosette were collected as whole water and filtered through 0.2 Sterivex PES filters on deck and frozen until analysis. Instrument Name: CTD Sea-Bird SBE 911plus Instrument Short Name:CTD SBE 911plus Instrument Description: The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/
PI Supplied Instrument Name: PI Supplied Instrument Description:These samples were analyzed at the UC San Diego Oceanographic Data Facility using standard methods for dissolved nutrients (silicate, orthophosphate, nitrate, nitrite, and ammonium) in seawater. Instrument Name: Seal Analytical AutoAnalyser 3HR Instrument Short Name:Seal Analytical AutoAnalyser 3HR Instrument Description: A fully automated Segmented Flow Analysis (SFA) system, ideal for water and seawater analysis. It comprises a modular system which integrates an autosampler, peristaltic pump, chemistry manifold and detector. The sample and reagents are pumped continuously through the chemistry manifold, and air bubbles are introduced at regular intervals forming reaction segments which are mixed using glass coils. The AA3 uses segmented flow analysis principles to reduce inter-sample dispersion, and can analyse up to 100 samples per hour using stable LED light sources.
Cruise: AT15-15
AT15-15
R/V Atlantis
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantis
vessel
AT15-15
Timothy M. Shank
Woods Hole Oceanographic Institution
R/V Atlantis
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantis
vessel