http://lod.bco-dmo.org/id/dataset/923065
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
2024-03-20
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition on RRS James Cook (cruise JC156) from December 2017 to February 2018
2024-03-21
publication
2024-03-21
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2024-09-03
publication
https://doi.org/10.26008/1912/bco-dmo.923065.1
Randelle M. Bundy
University of Washington
principalInvestigator
Colleen L. Hoffman
University of Washington
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: Bundy, R. M., Hoffman, C. L. (2024) Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition on RRS James Cook (cruise JC156) from December 2017 to February 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-03-21 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.923065.1 [access date]
Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition Dataset Description: Methods and Sampling: <p><strong>Sampling and cruise transect</strong><br />
Samples were collected as part of the 2017-2018 U.K. GEOTRACES GA13 section cruise along the Mid-Atlantic Ridge. Water samples from 11 venting and near venting locations were collected using a Seabird 911 conductivity, temperature, and depth (CTD) titanium rosette using conducting Kevlar wire with an oxidation-reduction potential (ORP) sensor to detect plumes. Teflon coated OTE (Ocean Test Equipment) bottles were pressurized to approximately 7 psi with 0.2 micrometers (μm) filtered air using an oil-free compressor. A Sartobran 300 (Sartorius) filter capsule (0.2 μm) was used to collect filtered seawater samples into clean 250 milliliter (mL) LDPE sample bottles. Bottles and caps were rinsed 3 times with the filtered sample before being filled. Samples were stored frozen at -20 degrees Celsius (°C) for organic iron-binding ligand characterization by voltammetry and mass spectrometry.</p>
<p><strong>Iron-binding ligand concentration and binding strengths measured with competitive ligand exchange-adsorptive cathodic stripping voltammetry</strong><br />
Iron-binding ligand concentrations and binding strengths were determined by competitive ligand exchange-adsorptive cathodic stripping voltammetry (CLE-ACSV) with a BASi controlled growth mercury electrode (CGME) with an Ag/AgCl- reference electrode and platinum auxiliary electrode (Bioanalytical Systems Incorporated). Using previously established methods (Buck et al., 2015, 2018; Bundy et al., 2018; Abualhaija and van den Berg, 2014; Hawkes et al., 2013 (Planet. Sci. Lett.)). 40 frozen filtrate (&lt;0.2 µm) samples with dissolved iron concentrations between 0.41-11.67 nanomolar (nM) (Table S1-S2 of Hoffman et al., 2023) were thawed in a 4°C fridge prior to analysis. A 15-point titration curve was analyzed for each sample. Briefly, within each titration, every point sequentially received 10 mL of sample, 7.5 micromolar (µM) of borate-ammonium buffer, 10 µM salicylaldoxime (SA) as the added ligand, and a dissolved Fe addition. Data was collected using the Epsilon Eclipse Electrochemical Analyzer (v.213) with a deposition time of 120 seconds and analyzed using ElectroChemical Data Software (v2001-2014) and ProMCC (v2008-2018) to determine peak areas and iron-binding ligand parameters, respectively.</p>
<p><strong>Reverse Titration-CLE-ACSV</strong><br />
Reverse titration-CLE-ACSV (RT-CLE-ACSV) (Hawkes et al., 2013 (Anal. Chim. Acta)) was completed on 10 samples from Broken Spur, and TAG hydrothermal vent fields with dissolved Fe concentrations between 19.01-90.25 nM (Table S1-S2 of Hoffman et al., 2023). Briefly, a 10-point titration curve was analyzed for each sample with each titration point consisting of 10 mL of sample buffered with 7.5 µM boric acid and the competitive ligand 1-nitroso-2-napthol (NN). All samples were analyzed on a BASi Controlled Growth Mercury Electrode (CGME) with the Epsilon Eclipse Electrochemical Analyzer (v.213) and deposition time of 120 seconds. For each sample, the competitive ligand NN was added in concentrations of 0.5, 1, 2, 3, 4, 6, 9, 15, 20, and 40 µM. Samples were equilibrated overnight and purged with N₂ (99.99% UHP) for 5 minutes before analysis. At the end of each titration, three dissolved iron additions (3-15 nM) were added to the final titration point to get the total concentration of iron in equilibrium with the natural ligands. Data was analyzed using ElectroChemical Data Software (v2001-2014) to acquire peak areas and a package in R using the model parameters of β<sub>FeNN3</sub> = 5.12 x 10¹⁶, Xmin = 0.8, Xmax = 0.9, and <em>c1high</em> = 0.75 to determine the iron-binding ligand parameters (Hawkes et al., 2013 (Anal. Chim. Acta)). These parameters were chosen based on the recommendations for undersaturated samples and titrations curves where ipmax was not reached (Hawkes et al., 2013 (Anal. Chim. Acta)). All other parameters within the model we kept at the default values.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2122928 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2122928
completed
Randelle M. Bundy
University of Washington
209-543-8966
1492 NE Boat St.
Seattle
WA
98195-0001
USA
rbundy@uw.edu
pointOfContact
Colleen L. Hoffman
University of Washington
clhoffma@gmail.com
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Cruise
Latitude_deg_N
Longitude_deg_E
Station
Geotraces_ID
Depth_m
dFe_nM
L1_nM
L1_err_nM
L2_nM
L2_err_nM
L3_nM
L3_err_nM
LT_nM
LT_err_nM
logK1
logK1_err
logK2
logK2_err
logK3
log_K3_err
BASi Controlled Growth Mercury Electrode
Epsilon Eclipse Electrochemical Analyzer
Seabird 911 CTD
theme
None, User defined
Cruise identfier
latitude
longitude
station
sample identification
depth
Iron
metal_ligand
featureType
BCO-DMO Standard Parameters
BASi Controlled Growth Mercury Electrode
BASi EC-epsilon 2 Autoanalyzer
CTD Sea-Bird 911
instrument
BCO-DMO Standard Instruments
JC156
service
Deployment Activity
Southampton, United Kingdom to Pointe-à-Pitre, Guadeloupe
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.
Are strong ligands and dissolved iron tightly coupled in hydrothermal systems?
https://osprey.bco-dmo.org/project/917850
Are strong ligands and dissolved iron tightly coupled in hydrothermal systems?
<p><em>NSF Award Abstract:</em><br />
This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).</p>
<p>Iron is one of the most abundant elements in the Earth’s crust, but it is extremely diluted in the ocean. Iron-poor surface waters limit the growth of microscopic marine life, called phytoplankton, and their ability to remove carbon from the atmosphere and surface ocean. However, over the last few decades, our understanding of how iron enters the ocean has evolved. Recent data has shown that deep-sea hot springs, also known as hydrothermal vents, impact global iron budgets and are important for surface iron supply. Hydrothermal vents are found globally along volcanic spreading centers where new seafloor is created through tectonic activity. The new porous seafloor allows seawater to circulate through the hot, chemically reactive rocks to create hydrothermal fluids. These fluids are less dense (hotter, 300-400°C) than deep ocean waters (2°C), so the water exiting the vents rises while mixing with ambient seawater, eventually forming hydrothermal plumes. These nutrient-rich plumes can extend for 10-1000s of kilometers into the ocean interior. To account for the long-range transport of hydrothermal iron into the ocean interior, models have shown that stabilizing agents (i.e. organic ligands) are needed to prevent iron from precipitating and settling to the seafloor. However, we still do not know the sources and identities of these organic ligands, as well as how common they are in various hydrothermal systems across the global ocean. Investigating these mechanism(s) for hydrothermal iron stabilization across different vent systems will provide insight into both local and long-range iron utilization by deep-sea marine microorganisms and phytoplankton in the surface ocean.</p>
<p>In this project, the sources, concentration, and identities of iron-binding organic ligands in hydrothermal plumes from four different volcanic spreading centers will be examined to understand their impact on iron stabilization and transport into the ocean interior. The major aim of this research is to test whether (1) the concentrations of strong organic ligands tightly control the distal transport of hydrothermally derived dissolved iron in neutrally buoyant plumes across a variety of hydrothermal vent systems and (2) investigate if microbes from hydrothermal systems are responsible for production of these strong organic ligands (i.e. siderophores). This work will use a combination of existing samples and samples of opportunity that will be collected during an upcoming field expedition, each from distinct spreading centers. These findings would significantly enhance our understanding of hydrothermal iron transport and aid in future modeling efforts on the fate of hydrothermal iron in the global iron cycle. This project will support the training of two early career scientists, an undergraduate intern, and STEM workshop kits for middle school programs about deep-sea environments, which will be developed in collaboration and made freely available through the NOAA Pacific Marine Environmental Education and Outreach webpage.</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>
organic iron ligands in hydrothermal systems
largerWorkCitation
project
eng; USA
oceans
Southampton, United Kingdom to Pointe-à-Pitre, Guadeloupe
-45.12
-32.28
26.03
37.29
2024-03-21
Mid-Atlantic Ridge and Escanaba Trough
0
BCO-DMO catalogue of parameters from Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition on RRS James Cook (cruise JC156) from December 2017 to February 2018
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/923091.rdf
Name: Cruise
Units: unitless
Description: <p>cruise number for the expedition</p>
http://lod.bco-dmo.org/id/dataset-parameter/923092.rdf
Name: Latitude_deg_N
Units: decimal degrees
Description: <p>Latitude in degrees north</p>
http://lod.bco-dmo.org/id/dataset-parameter/923093.rdf
Name: Longitude_deg_E
Units: decimal degrees
Description: <p>Longitude in degrees east (negative values = West)</p>
http://lod.bco-dmo.org/id/dataset-parameter/923094.rdf
Name: Station
Units: unitless
Description: <p>Station number</p>
http://lod.bco-dmo.org/id/dataset-parameter/923095.rdf
Name: Geotraces_ID
Units: unitless
Description: <p>Geotraces number for the corresponding sample</p>
http://lod.bco-dmo.org/id/dataset-parameter/923096.rdf
Name: Depth_m
Units: meters (m)
Description: <p>sample depth</p>
http://lod.bco-dmo.org/id/dataset-parameter/923097.rdf
Name: dFe_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>dissolved iron concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/923098.rdf
Name: L1_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>dissolved organic iron-binding ligand concentration of L1 ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923099.rdf
Name: L1_err_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>95% confidence interval of dissolved organic iron-binding ligand L1 concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/923100.rdf
Name: L2_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>dissolved organic iron-binding ligand concentration of L2 ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923101.rdf
Name: L2_err_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>95% confidence interval of dissolved organic iron-binding ligand L2 concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/923102.rdf
Name: L3_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>dissolved organic iron-binding ligand concentration of L3 ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923103.rdf
Name: L3_err_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>95% confidence interval of dissolved organic iron-binding ligand L3 concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/923104.rdf
Name: LT_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>dissolved organic iron-binding ligand concentration of total ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923105.rdf
Name: LT_err_nM
Units: nanomoles per liter (nmol L-1)
Description: <p>95% confidence interval of dissolved organic iron-binding ligand total concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/923106.rdf
Name: logK1
Units: unitless
Description: <p>dissolved organic iron-binding ligand strength of L1 ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923107.rdf
Name: logK1_err
Units: unitless
Description: <p>95% confidence interval of dissolved organic iron-binding ligand L1 strength</p>
http://lod.bco-dmo.org/id/dataset-parameter/923108.rdf
Name: logK2
Units: unitless
Description: <p>dissolved organic iron-binding ligand strength of L2 ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923109.rdf
Name: logK2_err
Units: unitless
Description: <p>95% confidence interval of dissolved organic iron-binding ligand L2 strength</p>
http://lod.bco-dmo.org/id/dataset-parameter/923110.rdf
Name: logK3
Units: unitless
Description: <p>dissolved organic iron-binding ligand strength of L3 ligands</p>
http://lod.bco-dmo.org/id/dataset-parameter/923111.rdf
Name: log_K3_err
Units: unitless
Description: <p>95% confidence interval of dissolved organic iron-binding ligand L3 strength</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
4250
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/f4fa8179-50c4-4f65-b8e1-3a7968d55380/content
download
https://doi.org/10.26008/1912/bco-dmo.923065.1
download
onLine
dataset
<p><strong>Sampling and cruise transect</strong><br />
Samples were collected as part of the 2017-2018 U.K. GEOTRACES GA13 section cruise along the Mid-Atlantic Ridge. Water samples from 11 venting and near venting locations were collected using a Seabird 911 conductivity, temperature, and depth (CTD) titanium rosette using conducting Kevlar wire with an oxidation-reduction potential (ORP) sensor to detect plumes. Teflon coated OTE (Ocean Test Equipment) bottles were pressurized to approximately 7 psi with 0.2 micrometers (μm) filtered air using an oil-free compressor. A Sartobran 300 (Sartorius) filter capsule (0.2 μm) was used to collect filtered seawater samples into clean 250 milliliter (mL) LDPE sample bottles. Bottles and caps were rinsed 3 times with the filtered sample before being filled. Samples were stored frozen at -20 degrees Celsius (°C) for organic iron-binding ligand characterization by voltammetry and mass spectrometry.</p>
<p><strong>Iron-binding ligand concentration and binding strengths measured with competitive ligand exchange-adsorptive cathodic stripping voltammetry</strong><br />
Iron-binding ligand concentrations and binding strengths were determined by competitive ligand exchange-adsorptive cathodic stripping voltammetry (CLE-ACSV) with a BASi controlled growth mercury electrode (CGME) with an Ag/AgCl- reference electrode and platinum auxiliary electrode (Bioanalytical Systems Incorporated). Using previously established methods (Buck et al., 2015, 2018; Bundy et al., 2018; Abualhaija and van den Berg, 2014; Hawkes et al., 2013 (Planet. Sci. Lett.)). 40 frozen filtrate (&lt;0.2 µm) samples with dissolved iron concentrations between 0.41-11.67 nanomolar (nM) (Table S1-S2 of Hoffman et al., 2023) were thawed in a 4°C fridge prior to analysis. A 15-point titration curve was analyzed for each sample. Briefly, within each titration, every point sequentially received 10 mL of sample, 7.5 micromolar (µM) of borate-ammonium buffer, 10 µM salicylaldoxime (SA) as the added ligand, and a dissolved Fe addition. Data was collected using the Epsilon Eclipse Electrochemical Analyzer (v.213) with a deposition time of 120 seconds and analyzed using ElectroChemical Data Software (v2001-2014) and ProMCC (v2008-2018) to determine peak areas and iron-binding ligand parameters, respectively.</p>
<p><strong>Reverse Titration-CLE-ACSV</strong><br />
Reverse titration-CLE-ACSV (RT-CLE-ACSV) (Hawkes et al., 2013 (Anal. Chim. Acta)) was completed on 10 samples from Broken Spur, and TAG hydrothermal vent fields with dissolved Fe concentrations between 19.01-90.25 nM (Table S1-S2 of Hoffman et al., 2023). Briefly, a 10-point titration curve was analyzed for each sample with each titration point consisting of 10 mL of sample buffered with 7.5 µM boric acid and the competitive ligand 1-nitroso-2-napthol (NN). All samples were analyzed on a BASi Controlled Growth Mercury Electrode (CGME) with the Epsilon Eclipse Electrochemical Analyzer (v.213) and deposition time of 120 seconds. For each sample, the competitive ligand NN was added in concentrations of 0.5, 1, 2, 3, 4, 6, 9, 15, 20, and 40 µM. Samples were equilibrated overnight and purged with N₂ (99.99% UHP) for 5 minutes before analysis. At the end of each titration, three dissolved iron additions (3-15 nM) were added to the final titration point to get the total concentration of iron in equilibrium with the natural ligands. Data was analyzed using ElectroChemical Data Software (v2001-2014) to acquire peak areas and a package in R using the model parameters of β<sub>FeNN3</sub> = 5.12 x 10¹⁶, Xmin = 0.8, Xmax = 0.9, and <em>c1high</em> = 0.75 to determine the iron-binding ligand parameters (Hawkes et al., 2013 (Anal. Chim. Acta)). These parameters were chosen based on the recommendations for undersaturated samples and titrations curves where ipmax was not reached (Hawkes et al., 2013 (Anal. Chim. Acta)). All other parameters within the model we kept at the default values.</p>
Specified by the Principal Investigator(s)
<p>Forward titrations were analyzed using ElectroChemical Data Software (v2001-2014) and ProMCC (v2008-2018) to determine peak areas and Fe-binding ligand parameters, respectively.</p>
<p>Reverse titration data was analyzed using ElectroChemical Data Software (v2001-2014) to acquire peak areas and a package in R using the model parameters of β<sub>FeNN3</sub> = 5.12 x 10¹⁶, Xmin = 0.8, Xmax = 0.9, and <em>c1high</em> = 0.75 to determine the Fe-binding ligand parameters (Hawkes et al., 2013 (Anal. Chim. Acta)).</p>
<p>Additional data for siderophore analyses have been deposited on Massive under the DOI <a href="http://dx.doi.org/10.25345/C5V97ZW7N" target="_blank">10.25345/C5V97ZW7N</a>.</p>
<p>Microbial 16S rRNA data have been deposited on GenBank under the accession number BioProject #PRJNA865382.</p>
Specified by the Principal Investigator(s)
- Imported original file "FRidge_GA13_CSV_data_final_bcodmo.xlsx" into the BCO-DMO system.
- Flagged "NaN" as a missing data identifier. Missing data are empty/blank in the final CSV file.
- Renamed fields to comply with BCO-DMO naming conventions.
- Saved the final file as "923065_v1_ga13_diss_org_fe-binding_ligands.csv".
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
BASi Controlled Growth Mercury Electrode
BASi Controlled Growth Mercury Electrode
PI Supplied Instrument Name: BASi Controlled Growth Mercury Electrode PI Supplied Instrument Description:All samples were analyzed on a BASi Controlled Growth Mercury Electrode (CGME) with the Epsilon Eclipse Electrochemical Analyzer (v.213). Instrument Name: BASi Controlled Growth Mercury Electrode Instrument Short Name:BASI CGME Instrument Description: Bioanalytical Systems (BASi) Mercury drop electrodes are generated by the BASi Controlled Growth Mercury Electrode (CGME) in three modes:
DME (Dropping Mercury Electrode) - mercury is allowed to flow freely from the reservoir down the capillary and so the growth of the mercury drop and its lifetime is controlled by gravity. (The optional 100 um capillary is recommended for this mode.)
SMDE (Static Mercury Drop Electrode) - the drop size is determined by the length of time for which the fast-response capillary valve is opened, and the drop is dislodged by a drop knocker. The dispense/knock timing is microprocessor-controlled and is typically coordinated with the potential pulse or square-wave waveform. This mode can also used to generate the Hanging Mercury Drop Electrode required for stripping experiments.
CGME (Controlled Growth Mercury Electrode) - the mercury drop is grown by a series of pulses that open the capillary valve. The number of pulses, their duration, and their frequency can be varied by PC control, providing great flexibility in both the drop size and its rate of growth. This CGME mode can be used for both polarographic and stripping experiments.
http://www.basinc.com/products/ec/cgme.php
Epsilon Eclipse Electrochemical Analyzer
Epsilon Eclipse Electrochemical Analyzer
PI Supplied Instrument Name: Epsilon Eclipse Electrochemical Analyzer PI Supplied Instrument Description:All samples were analyzed on a BASi Controlled Growth Mercury Electrode (CGME) with the Epsilon Eclipse Electrochemical Analyzer (v.213). Instrument Name: BASi EC-epsilon 2 Autoanalyzer Instrument Short Name:BASi EC-epsilon 2 Instrument Description: The Bioanalytical Systems EC epsilon is a family of potentiostat/galvanostats for electrochemistry. The most basic epsilon instrument can be used for standard techniques, as well as chronopotentiometry for materials characterization (e.g., characterization of transition metal complexes by cyclic voltammetry and controlled potential electrolysis, or of biosensors by cyclic voltammetry and constant potential amperometry). Pulse, square wave, and stripping techniques can be added by a software upgrade, and a second channel can be added by a hardware upgrade.
Seabird 911 CTD
Seabird 911 CTD
PI Supplied Instrument Name: Seabird 911 CTD 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: JC156
JC156
RRS James Cook
Community Standard Description
International Council for the Exploration of the Sea
RRS James Cook
vessel
JC156
Alessandro Tagliabue
University of Liverpool
https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/jc156.pdf
Report describing JC156
RRS James Cook
Community Standard Description
International Council for the Exploration of the Sea
RRS James Cook
vessel