http://lod.bco-dmo.org/id/dataset/1006705
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
2026-08-31
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Shell dissolution rates of Mytilus trossulus and Mytilus californianus from Penn Cove, WA, and Carmet Beach, CA, collected January 2020–December 2023
2026-08-31
publication
2026-08-31
revision
Woods Hole Oceanographic Institution (WHOI BCO-DMO)
2026-09-02
publication
https://doi.org/10.26008/1912/bco-dmo.1006705.1
Brian Gaylord
University of California-Davis
principalInvestigator
Tessa M. Hill
University of California-Davis
principalInvestigator
Mazie A. Lewis
University of California - Davis: Bodega Marine Laboratory
principalInvestigator
Aaron Takeo Ninokawa
University of California-Davis
principalInvestigator
Alisha Saley
University of California-Davis
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: Carlson, R., Lewis, M. A., Ninokawa, A. T., Saley, A., Hill, T. M., Gaylord, B. (2026) Shell dissolution rates of Mytilus trossulus and Mytilus californianus from Penn Cove, WA, and Carmet Beach, CA, collected January 2020–December 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-08-31 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1006705.1 [access date]
Shell dissolution rates 2020-2023 Dataset Description: Methods and Sampling: <p>Naturally settled <em>M. californianus</em>&nbsp;(urn:lsid:marinespecies.org:taxname:367837) were manually collected from Carmet Beach, CA, USA between January 2020 and April 2022. Mussels were dissected immediately upon arrival at Bodega Marine Laboratory (BML), CA (&lt;0.5 h transit time) to remove all body tissue. Remaining organic materials (byssal threads, epibionts) were removed by drying shells in an oven for 24 h at 60°C. <em>M. trossulus</em>&nbsp;(urn:lsid:marinespecies.org:taxname:140482) of 20–75 mm length (target length consistent with <em>M. californianus</em> shells) were collected from Penn Cove Shellfish Farm in Penn Cove, WA, USA in September and December of 2023. Mussels from Penn Cove were maintained in a moist, cool and insulated environment during shipment to BML (&lt; 1 day), and were dissected immediately upon arrival at the lab using methods described above.</p>
<p>Abiotic dissolution experiments were conducted on mussel shells between March 2020 and March 2024. All mussel shells were incubated in seawater manipulated to a target aragonite saturation state of Ω<sub>aragonite</sub> = 0–9 (actual Ω<sub>aragonite</sub> = 0.05–9.03). To separate contributions of the inner or outer shell surface to dissolution, we coated the inside of a subset of shells of each species with a clear, silicone waterproof sealant (Loctite), applying a single, thin layer to the nacre. For the incubations, we first added ambient seawater to a 1 L mixing vessel, then added variable doses of sodium hydroxide (NaOH) and Hydrochloric acid (HCl) to manipulate pH and Ω<sub>aragonite</sub>. We mixed the treatment water thoroughly and subsampled 150 ml of this water to characterize chemical conditions before incubation (described below). The remaining 850 mL of treatment water was inverted into a glass incubation jar containing a mussel shell and the jar was sealed immediately and placed in a dark incubation chamber. We removed mussel shells after a target of 42−45 h, though 25% of incubations occurred in tandem with prior experiments and had an incubation period of 108−115 h; we accounted for this difference by normalizing abiotic dissolution by time (dissolution rate). After incubation, a 150 mL subsample was again extracted from jars and used to measure chemical conditions after incubation. The treatment water mass and shell mass were recorded, with water mass derived using the equation (total mass = jar mass + shell mass +water mass).</p>
<p>Before and after incubation, we measured oxygen, temperature, salinity, total alkalinity and pH in each incubation vessel. The pH probe was used for routine measurements, while the Shimadzu spectrophotometer provided more precise pH measurements using m-cresol purple dye. Spectrophotometric measurements were conducted at incubation temperature periodically throughout the experiment and used to correct the probe measurements.&nbsp;Ammonia was measured before incubation from one of four carboys used to dispense ambient seawater for treatments (triplicate ammonia samples per carboy) and after incubation from each incubation vessel. Before and after incubation, our 150 mL subsamples were preserved in duplicate, using opaque bottles for alkalinity titration, which occurred within 24 h according to methods described in Ninokawa et al.<em> </em>(2024).&nbsp;TA was measured in triplicate, and the standard deviation among the three replicate titrations was calculated for each TA sample. Incubations were discarded if the standard deviation among the triplicate titrations exceeded 10 µmol kg⁻¹, resulting in 45 unsealed and 27 sealed <em>M. trossulus</em> shells and 46 unsealed and 25 sealed <em>M. californianus</em> shells used for analysis. Though waste excretion was not expected for abiotic shells, we measured ammonia to account for any biologically associated changes in alkalinity (i.e. microbial activity in water or on shells) using a salicylate spectrophotometric assay (Ninokawa et al. 2024).&nbsp;</p>
<p>Sealed <em>M. californianus</em> shells were tested during a separate experiment by Saley &amp; Gaylord (2025) using the same analytical methods but targeting a narrow range of Ω<sub>aragonite </sub>&lt; 1 and using approximately 300 mL of water. Therefore, in statistical analyses focused on comparisons across groups, our full dataset was subsampled to Ω<sub>aragonite </sub>&lt; 1 for consistency. We also normalized dissolution (in µmol kg<sup>−1</sup>) by water mass, multiplying alkalinity change by kg treatment water before finding dissolution rate per shell mass (µmol CaCO<sub>3</sub> hr<sup>−1</sup> g<sup>−1</sup>) across all treatments. Note that shell length but not mass was measured by Saley &amp; Gaylord (2025); we therefore derived shell mass for this group based on the relationship between length and mass in a separate dataset of 558 <em>M</em>. <em>californianus</em> mussels initially measured for Ninokawa et al. (2024).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2129942 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2129942
completed
Brian Gaylord
University of California-Davis
707-875-1940
Bodega Marine Laboratory & Department of Evolution and Ecology 2099 Westshore Road, P.O. Box 247
Bodega Bay
CA
94923
USA
bpgaylord@ucdavis.edu
pointOfContact
Tessa M. Hill
University of California-Davis
P.O. Box 247 2099 Westshore Road
Bodega Bay
CA
94923
USA
tmhill@ucdavis.edu
pointOfContact
Mazie A. Lewis
University of California - Davis: Bodega Marine Laboratory
eallewis@ucdavis.edu
pointOfContact
Aaron Takeo Ninokawa
University of California-Davis
315-565-3076
217 Jahn Laboratory
Syracuse
NY
13210
USA
atninoka@esf.edu
pointOfContact
Alisha Saley
University of California-Davis
amsaley@ucdavis.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
shell_number
treatment
species
paint_treatment
G
OmegaAragonite
duration
shell_wt
shell_length
Horiba Laqua PC 1100 conductivity probe
856 Conductivity Module
oven
800 Dosino
PreSens Microx 4 micro-optode
Shimadzu Spectrophotometer
Metrohm 855 Robotic Titrosampler
theme
None, User defined
sample identification
treatment
species scientific name (binomial)
No BCO-DMO term
Aragonite Saturation State
incubation time or duration
weight
length
featureType
BCO-DMO Standard Parameters
Conductivity Meter
Conductivity Meter
Drying Oven
Metrohm 800 Dosino dosing drive
Optode
Spectrophotometer
Titrator
instrument
BCO-DMO Standard Instruments
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.
Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry
https://osprey.bco-dmo.org/project/886711
Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry
<p><em>NSF Award Abstract:</em><br />
This research is exploring the capacity of coastal organisms to cope with alterations in seawater chemistry driven by both freshwater inputs and absorption of carbon dioxide into the world's oceans (ocean acidification). The project focuses on calcification responses and behavioral impairments of shoreline animals under altered seawater chemistry, and forefronts a common mussel species (the California mussel), and a common snail (the black turban snail), each abundant on rocky shores along the west coast of North America. The target species operate as exemplar organisms for characterizing the responses of marine invertebrates more generally. Methods involve experimental decoupling of multiple components of the carbonate system of seawater to isolate drivers that are difficult to separate otherwise. Broader impacts include transfer of scientific information to policy-makers, including legislators, as well as training and skill-set development of future generations of scientists and citizens. One Ph.D. student is supported, as are UC Davis undergraduates conducting mentored research. The project also provides research internships for undergraduates from a local community college (Santa Rosa Junior College), many of whom are from underrepresented groups. The latter project component substantially bolsters an ongoing program at Bodega Marine Laboratory that includes efforts in diversity, equity, and inclusion. Data and interpretations from the project are feeding into an existing educational program that links to local K-12 schools and reaches ~10,000 members of the public each year.</p>
<p>Overall, the research of the project is dissecting drivers of calcification and behavioral disruption in key shoreline invertebrates, across present-day and future carbonate system conditions appropriate to coastal marine environments. Efforts are exploring the extent to which calcification depends on one versus multiple parameters of the seawater carbonate system. In particular, existing conceptual models emphasize the importance of calcium carbonate saturation state (Ω) and/or the ratio of bicarbonate to hydrogen ion concentrations ([HCO3-]/[H+]), and the project is examining these mechanisms as well as the possibility that more than one driver acts simultaneously. It is doing so both in bivalves and in gastropods to test for generality across mollusks. The project is additionally examining whether pH is the only carbonate system factor contributing to known patterns of behavioral impairment in marine invertebrates. Leading explanations for debilitating behaviors induced by ocean acidification involve altered ion channel function, but discussion in the literature continues, and studies that explicitly decouple the carbonate system are necessary.</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>
OA decoupling
largerWorkCitation
project
eng; USA
biota
oceans
-123.0763912
-122.6732249
38.3743603
48.2398215
2020-01-13
2024-03-26
California coast, USA
0
BCO-DMO catalogue of parameters from Shell dissolution rates of Mytilus trossulus and Mytilus californianus from Penn Cove, WA, and Carmet Beach, CA, collected January 2020–December 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/1006731.rdf
Name: shell_number
Units: unitless
Description: <p>Unique ID assigned to each shell for tracking purposes</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006732.rdf
Name: treatment
Units: unitless
Description: <p>Unpainted shells were labeled as shell.trossulus or shell.californianus, depending on species. Painted shells were labeled as shell.trossulus.painted or shell.californianus.painted</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006733.rdf
Name: species
Units: unitless
Description: <p>Species of marine mussel: <em>Mytilus californianus</em> or <em>Mytilus trossulus</em></p>
http://lod.bco-dmo.org/id/dataset-parameter/1006734.rdf
Name: paint_treatment
Units: unitless
Description: <p>Whether the shell was painted as part of the treatment: painted or unpainted</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006735.rdf
Name: G
Units: umol/hr/g
Description: <p>Rate of abiotic dissolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006736.rdf
Name: OmegaAragonite
Units: unitless
Description: <p>Aragonite saturation calculated with seacarb in R</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006737.rdf
Name: duration
Units: hours
Description: <p>Length of incubation time</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006738.rdf
Name: shell_wt
Units: g
Description: <p>Weight of shell</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006739.rdf
Name: shell_length
Units: mm
Description: <p>Length of shell</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://doi.org/10.26008/1912/bco-dmo.1006705.1
download
onLine
dataset
<p>Naturally settled <em>M. californianus</em>&nbsp;(urn:lsid:marinespecies.org:taxname:367837) were manually collected from Carmet Beach, CA, USA between January 2020 and April 2022. Mussels were dissected immediately upon arrival at Bodega Marine Laboratory (BML), CA (&lt;0.5 h transit time) to remove all body tissue. Remaining organic materials (byssal threads, epibionts) were removed by drying shells in an oven for 24 h at 60°C. <em>M. trossulus</em>&nbsp;(urn:lsid:marinespecies.org:taxname:140482) of 20–75 mm length (target length consistent with <em>M. californianus</em> shells) were collected from Penn Cove Shellfish Farm in Penn Cove, WA, USA in September and December of 2023. Mussels from Penn Cove were maintained in a moist, cool and insulated environment during shipment to BML (&lt; 1 day), and were dissected immediately upon arrival at the lab using methods described above.</p>
<p>Abiotic dissolution experiments were conducted on mussel shells between March 2020 and March 2024. All mussel shells were incubated in seawater manipulated to a target aragonite saturation state of Ω<sub>aragonite</sub> = 0–9 (actual Ω<sub>aragonite</sub> = 0.05–9.03). To separate contributions of the inner or outer shell surface to dissolution, we coated the inside of a subset of shells of each species with a clear, silicone waterproof sealant (Loctite), applying a single, thin layer to the nacre. For the incubations, we first added ambient seawater to a 1 L mixing vessel, then added variable doses of sodium hydroxide (NaOH) and Hydrochloric acid (HCl) to manipulate pH and Ω<sub>aragonite</sub>. We mixed the treatment water thoroughly and subsampled 150 ml of this water to characterize chemical conditions before incubation (described below). The remaining 850 mL of treatment water was inverted into a glass incubation jar containing a mussel shell and the jar was sealed immediately and placed in a dark incubation chamber. We removed mussel shells after a target of 42−45 h, though 25% of incubations occurred in tandem with prior experiments and had an incubation period of 108−115 h; we accounted for this difference by normalizing abiotic dissolution by time (dissolution rate). After incubation, a 150 mL subsample was again extracted from jars and used to measure chemical conditions after incubation. The treatment water mass and shell mass were recorded, with water mass derived using the equation (total mass = jar mass + shell mass +water mass).</p>
<p>Before and after incubation, we measured oxygen, temperature, salinity, total alkalinity and pH in each incubation vessel. The pH probe was used for routine measurements, while the Shimadzu spectrophotometer provided more precise pH measurements using m-cresol purple dye. Spectrophotometric measurements were conducted at incubation temperature periodically throughout the experiment and used to correct the probe measurements.&nbsp;Ammonia was measured before incubation from one of four carboys used to dispense ambient seawater for treatments (triplicate ammonia samples per carboy) and after incubation from each incubation vessel. Before and after incubation, our 150 mL subsamples were preserved in duplicate, using opaque bottles for alkalinity titration, which occurred within 24 h according to methods described in Ninokawa et al.<em> </em>(2024).&nbsp;TA was measured in triplicate, and the standard deviation among the three replicate titrations was calculated for each TA sample. Incubations were discarded if the standard deviation among the triplicate titrations exceeded 10 µmol kg⁻¹, resulting in 45 unsealed and 27 sealed <em>M. trossulus</em> shells and 46 unsealed and 25 sealed <em>M. californianus</em> shells used for analysis. Though waste excretion was not expected for abiotic shells, we measured ammonia to account for any biologically associated changes in alkalinity (i.e. microbial activity in water or on shells) using a salicylate spectrophotometric assay (Ninokawa et al. 2024).&nbsp;</p>
<p>Sealed <em>M. californianus</em> shells were tested during a separate experiment by Saley &amp; Gaylord (2025) using the same analytical methods but targeting a narrow range of Ω<sub>aragonite </sub>&lt; 1 and using approximately 300 mL of water. Therefore, in statistical analyses focused on comparisons across groups, our full dataset was subsampled to Ω<sub>aragonite </sub>&lt; 1 for consistency. We also normalized dissolution (in µmol kg<sup>−1</sup>) by water mass, multiplying alkalinity change by kg treatment water before finding dissolution rate per shell mass (µmol CaCO<sub>3</sub> hr<sup>−1</sup> g<sup>−1</sup>) across all treatments. Note that shell length but not mass was measured by Saley &amp; Gaylord (2025); we therefore derived shell mass for this group based on the relationship between length and mass in a separate dataset of 558 <em>M</em>. <em>californianus</em> mussels initially measured for Ninokawa et al. (2024).</p>
Specified by the Principal Investigator(s)
<p>We calculated abiotic dissolution rate using the ammonia-corrected alkalinity anomaly technique, dividing CaCO<sub>3</sub> dissolution by incubation time and dry shell mass (Gazeau et al. 2015). We used chemical measurements to determine the carbonate chemistry of each incubation including Ω<sub>aragonite</sub> and Ω<sub>calcite</sub> using the package <em>seacarb</em> v 3.3.3&nbsp; (Orr et al., 2003) in R v 4.5.0 (R Core Team, 2025) with constants from Lueker et al. (2000).</p>
Specified by the Principal Investigator(s)
This section documents curation actions performed prior to publication review with the submitter, and additional information relevant to understanding and reusing this dataset. It distinguishes changes made to the submitted (meta)data from unresolved issues and/or enhancements that improve future reuse and interoperability.
CURATION ACTIONS PERFORMED ON DATA
- Loaded abiotic_dissolution_Mtrossulus_Mcalifornianus.csv, header row 1, declared "", "nd", and "NA" as missing value sentinels (needed since shell.length used "NA" for missing entries)
- Renamed columns shell.number, shell.wt, shell.length to shell_number, shell_wt, shell_length to normalize dot-separated names to underscore-separated, to conform with BCO-DMO parameter guidance
- Computed new species column: set to "Mytilus californianus" if treatment matched regex containing "californianus", "Mytilus trossulus" if treatment matched "trossulus" in order to provide more explicit labeling of treatment/species combinations
- Computed new paint_treatment column: default value "unpainted", set to "painted" if treatment matched regex containing "painted" in order to provide more explicit labeling of treatment/species combinations
- Reordered columns to: shell_number, treatment, species, paint_treatment, G, OmegaAragonite, duration, shell_wt, shell_length
- Output as 1006705_v1_abiotic_dissolution_mytilus.csv
CURATION ACTIONS PERFORMED ON METADATA
- BCO-DMO's standard metadata entry and text formatting steps were performed.
- Scientific names in the data were checked using World Register of Marine Species (WoRMS) Taxon Match. All scientific names in the data are valid and accepted names as of 2026-08-31.
- Adjusted location fields information from Penn Cove, Washington (38 N 122 W) to Penn Cove, Washington (48 N 122 W).
- Added citations for software listed.
ISSUES POTENTIALLY IMPACTING REUSE
- N/A
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
Horiba Laqua PC 1100 conductivity probe
Horiba Laqua PC 1100 conductivity probe
PI Supplied Instrument Name: Horiba Laqua PC 1100 conductivity probe PI Supplied Instrument Description:Oxygen and temperature were measured using a PreSens Microx 4 micro-optode; salinity with a Horiba Laqua PC 1100 conductivity probe; and pH with a Horiba Laqua PC 1100 instrument. The Horiba LAQUA PC1100 was used for routine pH measurements. Probe measurements were corrected using periodic spectrophotometric pH measurements. Instrument Name: Conductivity Meter Instrument Short Name:Conductivity Meter Instrument Description: Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.
856 Conductivity Module
856 Conductivity Module
PI Supplied Instrument Name: 856 Conductivity Module PI Supplied Instrument Description:Total alkalinity was measured by a Metrohm 855 Robotic Titrosampler, an 800 Dosino, and an 856 Conductivity Module. Instrument Name: Conductivity Meter Instrument Short Name:Conductivity Meter Instrument Description: Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.
oven
oven
PI Supplied Instrument Name: oven PI Supplied Instrument Description:Remaining organic materials (byssal threads, epibionts) were removed by drying shells in an oven for 24 h at 60°C. Instrument Name: Drying Oven Instrument Short Name: Instrument Description: a heated chamber for drying
800 Dosino
800 Dosino
PI Supplied Instrument Name: 800 Dosino PI Supplied Instrument Description:Total alkalinity was measured by a Metrohm 855 Robotic Titrosampler, an 800 Dosino, and an 856 Conductivity Module. Instrument Name: Metrohm 800 Dosino dosing drive Instrument Short Name:Metrohm 800 Dosino Instrument Description: A dosing drive which can be used with a number of different Metrohm dosing devices or Metrohm titrators for simple dosing, titrations, complex automation and liquid handling tasks such as sample transfers or pipetting. This instrument uses a push rod to deliver liquid, via cylinders of variable sizes, to the attached dosing unit. The 800 Dosino can be used with cylinder sizes: 2 mL, 5 mL, 10 mL, 20 mL, or 50 mL.
PreSens Microx 4 micro-optode
PreSens Microx 4 micro-optode
PI Supplied Instrument Name: PreSens Microx 4 micro-optode PI Supplied Instrument Description:Oxygen and temperature were measured using a PreSens Microx 4 micro-optode; salinity with a Horiba Laqua PC 1100 conductivity probe; and pH with a Horiba Laqua PC 1100 instrument. Instrument Name: Optode Instrument Short Name: Instrument Description: An optode or optrode is an optical sensor device that optically measures a specific substance usually with the aid of a chemical transducer.
Shimadzu Spectrophotometer
Shimadzu Spectrophotometer
PI Supplied Instrument Name: Shimadzu Spectrophotometer PI Supplied Instrument Description:The Shimadzu spectrophotometer was used for ammonia analyses and for periodic spectrophotometric pH measurements using m-cresol purple dye. Spectrophotometric pH was measured at incubation temperature and used to correct routine pH probe measurements. Instrument Name: Spectrophotometer Instrument Short Name:Spectrophotometer Instrument Description: An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/
Metrohm 855 Robotic Titrosampler
Metrohm 855 Robotic Titrosampler
PI Supplied Instrument Name: Metrohm 855 Robotic Titrosampler PI Supplied Instrument Description:Total alkalinity was measured by a Metrohm 855 Robotic Titrosampler, an 800 Dosino, and an 856 Conductivity Module. Instrument Name: Titrator Instrument Short Name:Titrator Instrument Description: Titrators are instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12/