http://lod.bco-dmo.org/id/dataset/963736
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
2025-06-05
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Carbonate chemistry data for shipboard ocean alkalinity enhancement (OAE) experiments in the North Atlantic on R/V Atlantic Explorer cruise AE2320 in September 2023
2025-06-12
publication
2025-06-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-06-30
publication
https://doi.org/10.26008/1912/bco-dmo.963736.1
Mohammed Hashim
Woods Hole Oceanographic Institution
principalInvestigator
Adam V. Subhas
Woods Hole Oceanographic Institution
principalInvestigator
Frieder Klein
Woods Hole Oceanographic Institution
principalInvestigator
Lukas Marx
Woods Hole Oceanographic Institution
principalInvestigator
Daniel C. McCorkle
Woods Hole Oceanographic Institution
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: Hashim, M., Marx, L., Klein, F., Dean, C., Burdige, E., Hayden, M. G., McCorkle, D. C., Subhas, A. V. (2025) Carbonate chemistry data for shipboard ocean alkalinity enhancement (OAE) experiments in the North Atlantic on R/V Atlantic Explorer cruise AE2320 in September 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-06-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.963736.1 [access date]
Carbonate chemistry for OAE North Atlantic experiments Dataset Description: Methods and Sampling: <p>Experiments involved the addition of NaOH solution prepared by weighing ACS grade NaOH in the lab prior to the cruise (R/V Atlantic Explorer AE2320) in a plastic Falcon tube that was capped and sealed with parafilm tape. During the cruise, DI water was added to make up stock NaOH solutions with a final concentration of 1 M. The NaOH solution was pipetted into the seawater filled bags through the Luer-fitted stopcock. Because NaOH contributes only alkalinity but not DIC, seawater in the experiments was out of equilibrium with the atmosphere, which was intended to simulate conditions immediately following alkalinity addition to seawater during OAE deployments.</p>
<p>In total, 5 experiments were conducted. The first experiment (experiment A) was a control with no alkalinity addition. In the second, third, and fourth experiments (B, C, and D), alkalinity was enhanced by 500, 1000, and 2000 micromoles per kilogram (µmol/kg) respectively. The fifth experiment (E) represents a set of "sacrificial" time series experiments whereby 9 bags were prepared similar to other experiments and alkalinity was enhanced by 1000 µmol/kg in each one of them, but each bag was sequentially opened and filtered in order to evaluate the precipitate mineralogy through time. In experiment E, water samples for TA and DIC measurements were taken only at the end of the experiment. The experiments were run for approximately 5 days.</p>
<p>Two separate 12-milliliter (mL) seawater samples were taken from bags through time, one for DIC and one for TA. Each of these samples was subsequently modified in order to test recently proposed best practices for carbonate chemistry sampling techniques (Schulz et al., 2023). These proposed techniques were designed to retain the original DIC and TA values at the time of sampling while decreasing Ω in the sample container to avoid mineral precipitation during sample storage. For DIC samples, adding an acid to a sample in a completely sealed vessel with no headspace neutralizes a proportion of the previously added alkalinity and thus decreases Ω while retaining all the DIC inside the vial. Similarly, for TA samples, bubbling CO2 into the sample increases the DIC, and thus decreases Ω without changing the TA. As such, Ω can be lowered in both samples to prevent mineral precipitation during sample storage in a way that allows for the accurate determination of DIC and TA (Schulz et al., 2023). We note that these techniques only work for conservative carbonate system parameters (i.e. DIC and TA), and not for non-conservative parameters such as pCO2 or pH.</p>
<p>The 12 mL aliquot taken for DIC was passed through a 0.2 micrometer (µm) filter into a gas-tight borosilicate vial (CHROMONE, NJ, USA), poisoned with 2.4 microliters (µL) of saturated HgCl2, and then acidified by adding a pre-calculated volume of 0.075 M HCl using a glass syringe through the plastic vial septum to titrate the initially added alkalinity. The amount of HCl added was 80, 160, 400, and 160 µl for samples taken from experiments B, C, D, and E, respectively. The 12 mL TA aliquot was filtered (0.2 µm filter), and then bubbled with pure CO2 using a nylon tubing with a stainless steel needle for 30 seconds to increase its DIC without changing TA, followed by poisoning with HgCl2. A gas regulator was used to maintain a constant CO2 flow rate and to prevent over-bubbling. The DIC and TA samples were returned to the lab where they were kept in cool and dark conditions until analysis, which took place within 2 months.</p>
<p>TA was determined using an open-system Gran titration on weighed 5 mL samples in duplicate using a Metrohm 805 Dosimat, with a 1 mL burette, and an 855 robotic Titrosampler. An 0.04 M HCl titrant was used to first acidify the sample to a pH of 3.9 before continuing to a pH of 3.25, dosing at 0.02 mL increments. The analyses were calibrated using in-house seawater standards that were run every 15 samples, to assess titrant and electrode drifts throughout the day. A nonlinear least-squares method was used to determine TA as outlined in the Best Practices guide (Dickson et al., 2007).</p>
<p>DIC was determined using an Apollo LI-5300A connected to a Li-COR CO2 analyzer, with CO2 extracted from a 1.5 mL sample volume by adding 0.8 mL of 3% phosphoric acid. Once opened, the sample lines were inserted to the base of the vial and sealed with parafilm tape to limit gas exchange. Before each analysis, 0.75 mL of sample and 0.8 mL of acid is drawn into the sample syringe to flush out any prior remnants from the system. After the flush, the 1.5 mL sample is drawn into the calibrated syringe and injected into the reaction chamber, where resulting CO2 is carried by a zero CO2 air stream to the Li-COR CO2 analyzer.<sub> </sub>Samples were run in triplicates. The instrument was calibrated twice daily against an in-house seawater standard that were intercalibrated against seawater Certified Reference Materials (Dickson batch #187).</p>
<p>The saturation state with respect to aragonite (Ω<sub>A</sub>) throughout the experiments was calculated using PyCO2 1.8.1 (Humphreys et al., 2022), the Python version of the original CO2SYS program (Lewis et al., 1998) using the carbonic acid dissociation constants of Mehrbach et al. (1973) refitted by Dickson and Millero (1987). The Ω<sub>A</sub> calculations used a corrected concentration of Ca to account for changes induced by CaCO3 precipitation.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2205984 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2205984
completed
Mohammed Hashim
Woods Hole Oceanographic Institution
hashimm@usc.edu
pointOfContact
Adam V. Subhas
Woods Hole Oceanographic Institution
508-289-2399
266 Woods Hole Rd. MS#8
Woods Hole
MA
02543
USA
asubhas@whoi.edu
pointOfContact
Frieder Klein
Woods Hole Oceanographic Institution
508-289-3355
Marine Chemistry and Geochemistry Department Room 214 McLean, MS#8
Woods Hole
MA
02543
USA
fklein@whoi.edu
pointOfContact
Lukas Marx
Woods Hole Oceanographic Institution
Marine Chemistry & Geochemistry
Woods Hole
MA
02543
USA
lukas.marx@whoi.edu
pointOfContact
Daniel C. McCorkle
Woods Hole Oceanographic Institution
508-289-2949
Geology & Geophysics 266 Woods Hole Rd MS #08
Woods Hole
MA
02543
USA
dmccorkle@whoi.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Experiment_name
TA_addition
Start_day
Start_time
End_day
End_time
Duration
measured_TA
TA_std
measured_DIC
DIC_std
calculated_DIC
calculated_CaCO3_precipitate
Li-COR CO2 analyzer
Apollo LI-5300A
Metrohm 805 Dosimat
theme
None, User defined
experiment id
treatment
date
time of day
time_elapsed
total alkalinity (TA)
dissolved inorganic Carbon
Calcium Carbonate
featureType
BCO-DMO Standard Parameters
CO2 Analyzer
Inorganic Carbon Analyzer
Metrohm 805 Dosimat
instrument
BCO-DMO Standard Instruments
AE2320
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.
OCE-PRF: Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis
https://osprey.bco-dmo.org/project/955330
OCE-PRF: Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis
<p><em>NSF Award Abstract:</em><br />
OCE-PRF Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis The goal of the project is to investigate dissolution of calcium carbonate (CaCO3) in sediments below the seafloor and determine its importance to the chemistry of seawater. This project uses sediment samples and chemical data collected from different parts of the ocean during the past five decades by scientific ocean drilling programs. Sediment dissolution of carbonate can lessen the impact of ocean acidification, the process that causes the pH of the ocean to decrease due to the uptake of carbon dioxide (CO2) from the atmosphere. Ocean acidification threatens the survival of marine organisms, such as oysters, clams, and coral reefs, which could alter marine food chains and food supply to humans. By improving understanding of carbonate dissolution in the ocean, results from this project will enable better predictions of the effects of ocean acidification on marine organisms. This will advance the progress of science and contribute to the knowledge that can inform public policy. In addition, understanding carbonate sediment dissolution serves other important purposes. For example, dissolution can create small spaces between sediments that may get filled with groundwater once sediments convert to rocks over millions of years. Thus, understanding the occurrence and spatial distribution of spaces within rocks may help determine the volume and movement of groundwater in subsurface aquifers. This project provides support for a postdoctoral research fellow and research training opportunities for students through the Summer Student Fellowship and Woods Hole-wide Partnership Education Programs at the Woods Hole Oceanographic Institution.</p>
<p>Carbonate mineral dissolution is an integral part of the alkalinity and carbon cycles in the ocean and is expected to play an increasingly significant role in mediating changes in ocean chemistry as atmospheric CO2 continues to rise. The goal of this project is to provide thermodynamic constraints necessary for quantifying carbonate sediment dissolution in marine diagenetic environments. Specifically, the CaCO3 saturation state of pore fluids will be calculated in 365 globally distributed sites from previous scientific ocean drilling expeditions using a specially developed Pitzer ion activity model which is particularly useful for calculating activity coefficients in high ionic strength solutions such as those that characterize most diagenetic environments. These calculations will be substantiated with geochemical and textural analyses of sediment samples from four representative sites to identify the specific diagenetic processes (e.g., dissolution, precipitation, and recrystallization) and document the conditions responsible for their occurrence and prevalence. The immediate advantage of calculating the saturation state of pore fluids is that such data can be used to estimate carbonate sediment dissolution below the seafloor and quantify its contribution to the alkalinity and carbon cycles, which will lead to more accurate predictions of the consequences of ocean acidification. Another benefit of the global saturation state dataset is that it will improve our understanding of authigenic carbonate precipitation and its link to the carbon cycle over Earth history, which has been proposed as a significant sink for carbon. Furthermore, by complementing the thermodynamic calculations with textural and geochemical analyses, this project will parse out various diagenetic processes and identify the sedimentological and geochemical conditions responsible for their occurrence. Such knowledge is crucial for evaluating the impact of diagenesis on the carbonate-hosted paleoenvironmental proxies. Collectively, this project will pave the way towards a mechanistic understanding of carbonate diagenesis. This will provide important constraints on the oceanic alkalinity cycle, carbon burial rates, and geochemical proxies, which ultimately help us better understand the future of our ocean system in the context of climate change.</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>
Marine CaCO3 and ocean chemistry
largerWorkCitation
project
eng; USA
oceans
-64.1667
-64.1667
31.6667
31.6667
2023-09-06
2023-09-11
0
BCO-DMO catalogue of parameters from Carbonate chemistry data for shipboard ocean alkalinity enhancement (OAE) experiments in the North Atlantic on R/V Atlantic Explorer cruise AE2320 in September 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/964901.rdf
Name: Experiment_name
Units: unitless
Description: <p>name of the experiment (A through D)</p>
http://lod.bco-dmo.org/id/dataset-parameter/964902.rdf
Name: TA_addition
Units: micromoles (umol)
Description: <p>the amount of alkalinity added in micromoles</p>
http://lod.bco-dmo.org/id/dataset-parameter/964903.rdf
Name: Start_day
Units: unitless
Description: <p>experiment start date</p>
http://lod.bco-dmo.org/id/dataset-parameter/964904.rdf
Name: Start_time
Units: unitless
Description: <p>experiment start time</p>
http://lod.bco-dmo.org/id/dataset-parameter/964905.rdf
Name: End_day
Units: unitless
Description: <p>experiment end date</p>
http://lod.bco-dmo.org/id/dataset-parameter/964906.rdf
Name: End_time
Units: unitless
Description: <p>experiment end time</p>
http://lod.bco-dmo.org/id/dataset-parameter/964907.rdf
Name: Duration
Units: hours (h)
Description: <p>experiment duration in hours</p>
http://lod.bco-dmo.org/id/dataset-parameter/964908.rdf
Name: measured_TA
Units: micromoles per kilogram (umol/kg)
Description: <p>measured TA</p>
http://lod.bco-dmo.org/id/dataset-parameter/964909.rdf
Name: TA_std
Units: micromoles per kilogram (umol/kg)
Description: <p>standard deviation of TA</p>
http://lod.bco-dmo.org/id/dataset-parameter/964910.rdf
Name: measured_DIC
Units: micromoles per kilogram (umol/kg)
Description: <p>measured DIC</p>
http://lod.bco-dmo.org/id/dataset-parameter/964911.rdf
Name: DIC_std
Units: micromoles per kilogram (umol/kg)
Description: <p>standard deviation of DIC</p>
http://lod.bco-dmo.org/id/dataset-parameter/964912.rdf
Name: calculated_DIC
Units: micromoles per kilogram (umol/kg)
Description: <p>calculated DIC from TA assuming that precipitation of CaCO3 (TA:DIC of 2:1)</p>
http://lod.bco-dmo.org/id/dataset-parameter/964913.rdf
Name: calculated_CaCO3_precipitate
Units: milligrams per kilogram (mg/kg)
Description: <p>amount of CaCO3 precipitated calculated from changes in TA</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
5797
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/d5e54cc6-9127-4a64-bcd6-639e99ce4ab2/content
download
https://doi.org/10.26008/1912/bco-dmo.963736.1
download
onLine
dataset
<p>Experiments involved the addition of NaOH solution prepared by weighing ACS grade NaOH in the lab prior to the cruise (R/V Atlantic Explorer AE2320) in a plastic Falcon tube that was capped and sealed with parafilm tape. During the cruise, DI water was added to make up stock NaOH solutions with a final concentration of 1 M. The NaOH solution was pipetted into the seawater filled bags through the Luer-fitted stopcock. Because NaOH contributes only alkalinity but not DIC, seawater in the experiments was out of equilibrium with the atmosphere, which was intended to simulate conditions immediately following alkalinity addition to seawater during OAE deployments.</p>
<p>In total, 5 experiments were conducted. The first experiment (experiment A) was a control with no alkalinity addition. In the second, third, and fourth experiments (B, C, and D), alkalinity was enhanced by 500, 1000, and 2000 micromoles per kilogram (µmol/kg) respectively. The fifth experiment (E) represents a set of "sacrificial" time series experiments whereby 9 bags were prepared similar to other experiments and alkalinity was enhanced by 1000 µmol/kg in each one of them, but each bag was sequentially opened and filtered in order to evaluate the precipitate mineralogy through time. In experiment E, water samples for TA and DIC measurements were taken only at the end of the experiment. The experiments were run for approximately 5 days.</p>
<p>Two separate 12-milliliter (mL) seawater samples were taken from bags through time, one for DIC and one for TA. Each of these samples was subsequently modified in order to test recently proposed best practices for carbonate chemistry sampling techniques (Schulz et al., 2023). These proposed techniques were designed to retain the original DIC and TA values at the time of sampling while decreasing Ω in the sample container to avoid mineral precipitation during sample storage. For DIC samples, adding an acid to a sample in a completely sealed vessel with no headspace neutralizes a proportion of the previously added alkalinity and thus decreases Ω while retaining all the DIC inside the vial. Similarly, for TA samples, bubbling CO2 into the sample increases the DIC, and thus decreases Ω without changing the TA. As such, Ω can be lowered in both samples to prevent mineral precipitation during sample storage in a way that allows for the accurate determination of DIC and TA (Schulz et al., 2023). We note that these techniques only work for conservative carbonate system parameters (i.e. DIC and TA), and not for non-conservative parameters such as pCO2 or pH.</p>
<p>The 12 mL aliquot taken for DIC was passed through a 0.2 micrometer (µm) filter into a gas-tight borosilicate vial (CHROMONE, NJ, USA), poisoned with 2.4 microliters (µL) of saturated HgCl2, and then acidified by adding a pre-calculated volume of 0.075 M HCl using a glass syringe through the plastic vial septum to titrate the initially added alkalinity. The amount of HCl added was 80, 160, 400, and 160 µl for samples taken from experiments B, C, D, and E, respectively. The 12 mL TA aliquot was filtered (0.2 µm filter), and then bubbled with pure CO2 using a nylon tubing with a stainless steel needle for 30 seconds to increase its DIC without changing TA, followed by poisoning with HgCl2. A gas regulator was used to maintain a constant CO2 flow rate and to prevent over-bubbling. The DIC and TA samples were returned to the lab where they were kept in cool and dark conditions until analysis, which took place within 2 months.</p>
<p>TA was determined using an open-system Gran titration on weighed 5 mL samples in duplicate using a Metrohm 805 Dosimat, with a 1 mL burette, and an 855 robotic Titrosampler. An 0.04 M HCl titrant was used to first acidify the sample to a pH of 3.9 before continuing to a pH of 3.25, dosing at 0.02 mL increments. The analyses were calibrated using in-house seawater standards that were run every 15 samples, to assess titrant and electrode drifts throughout the day. A nonlinear least-squares method was used to determine TA as outlined in the Best Practices guide (Dickson et al., 2007).</p>
<p>DIC was determined using an Apollo LI-5300A connected to a Li-COR CO2 analyzer, with CO2 extracted from a 1.5 mL sample volume by adding 0.8 mL of 3% phosphoric acid. Once opened, the sample lines were inserted to the base of the vial and sealed with parafilm tape to limit gas exchange. Before each analysis, 0.75 mL of sample and 0.8 mL of acid is drawn into the sample syringe to flush out any prior remnants from the system. After the flush, the 1.5 mL sample is drawn into the calibrated syringe and injected into the reaction chamber, where resulting CO2 is carried by a zero CO2 air stream to the Li-COR CO2 analyzer.<sub> </sub>Samples were run in triplicates. The instrument was calibrated twice daily against an in-house seawater standard that were intercalibrated against seawater Certified Reference Materials (Dickson batch #187).</p>
<p>The saturation state with respect to aragonite (Ω<sub>A</sub>) throughout the experiments was calculated using PyCO2 1.8.1 (Humphreys et al., 2022), the Python version of the original CO2SYS program (Lewis et al., 1998) using the carbonic acid dissociation constants of Mehrbach et al. (1973) refitted by Dickson and Millero (1987). The Ω<sub>A</sub> calculations used a corrected concentration of Ca to account for changes induced by CaCO3 precipitation.</p>
Specified by the Principal Investigator(s)
<p>The rate of mineral precipitation was calculated from the changes in TA through time for our expeirments as well as those of Moras et al. (2022). For comparison, rate data from the study of Mucci et al. (1989) who conducted similar mineral precipitation experiments.</p>
Specified by the Principal Investigator(s)
- Imported sheet 1 of original file "Hashim et al OAE resaerch data_carbonate chemistry.xlsx" into the BCO-DMO system.
- Flagged "NA" as a missing data identifier (missing data are blank/empty in the final CSV file).
- Renamed fields to comply with BCO-DMO naming conventions.
- Converted date columns to YYYY-MM-DD format.
- Saved the final file as "963736_v1_carbonate_chemistry.csv".
- Converted sheet 2 of original file "Hashim et al OAE resaerch data_carbonate chemistry.xlsx" to CSV format and saved as "963736_v1_precip_rate_vs_omega.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
Li-COR CO2 analyzer
Li-COR CO2 analyzer
PI Supplied Instrument Name: Li-COR CO2 analyzer PI Supplied Instrument Description:Apollo LI-5300A connected to a Li-COR CO2 analyzer Instrument Name: CO2 Analyzer Instrument Short Name:CO2 Analyzer Instrument Description: Measures atmospheric carbon dioxide (CO2) concentration. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/382/
Apollo LI-5300A
Apollo LI-5300A
PI Supplied Instrument Name: Apollo LI-5300A PI Supplied Instrument Description:Apollo LI-5300A connected to a Li-COR CO2 analyzer Instrument Name: Inorganic Carbon Analyzer Instrument Short Name: Instrument Description: Instruments measuring carbonate in sediments and inorganic carbon (including DIC) in the water column.
Metrohm 805 Dosimat
Metrohm 805 Dosimat
PI Supplied Instrument Name: Metrohm 805 Dosimat PI Supplied Instrument Description:TA was determined using an open-system Gran titration on weighed 5 mL samples in duplicate using a Metrohm 805 Dosimat, with a 1 mL burette, and an 855 robotic Titrosampler. Instrument Name: Metrohm 805 Dosimat Instrument Short Name:Metrohm 805 Instrument Description: The Metrohm 805 Dosimat is a dispensing instrument for titrating and dosing operations in the laboratory. The 805 Dosimat is controlled by Touch control or PC control software. The instrument controls the dosing of liquids, which are attached via an exchange unit. Metrohm recommends using the Metrohm 806 Exchange units which come with 1, 5, 10, 20, or 50 milliliter (mL) dosing cylinders. The instrument can read and overwrite data from the exchange unit. It has a resolution of 20,000 steps per cylinder volume and a dosing/filling time of 18 seconds.
The 805 Dosimat and the corresponding 806 Exchange Unit are suitable as a buret not only for simply dosing auxiliary solutions but also for titrations. Additional information is available from the instrument manufacturer: https://www.metrohm.com/en_au/products/2/8050/28050010.html
Cruise: AE2320
AE2320
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel
AE2320
Benjamin A.S. Van Mooy
Woods Hole Oceanographic Institution
R/V Atlantic Explorer
Community Standard Description
International Council for the Exploration of the Sea
R/V Atlantic Explorer
vessel