http://lod.bco-dmo.org/id/dataset/856902
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
2021-07-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Environmental data from experimental aquaria during a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity at the Sitka Sound Science Center in 2017
2021-07-30
publication
2021-07-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-10-14
publication
https://doi.org/10.26008/1912/bco-dmo.856902.1
Kristy J. Kroeker
University of California-Santa Cruz
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: Bell, L. E., Kroeker, K. J. (2021) Environmental data from experimental aquaria during a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity at the Sitka Sound Science Center in 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-07-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.856902.1 [access date]
Environmental data from experimental aquaria (“tanks”) during a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity. Dataset Description: <p>Environmental data from experimental aquaria (“tanks”) during a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity.</p>
<p>&nbsp;</p> Methods and Sampling: <p><strong>Methodology:&nbsp;</strong></p>
<p><strong>Sampling and analytical procedures: </strong>To test the response of the coralline algae Crusticorallina spp. and Bossiella orbigniana to future OA scenarios, we used an 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center to simulate three static pH<sub>T</sub> levels (current summer = 8.0, future summer/current winter = 7.7, future winter = 7.4) under two seasonal light regimes simulated with full-spectrum aquarium lights (AI Prime HD) (summer = PPFD 55μmol m<sup>-2</sup> s<sup>-1</sup>, 13h d<sup>-1</sup>, winter = PPFD 40μmol m<sup>-2</sup> s<sup>-1</sup>, 6h d<sup>-1</sup>). We had a total of 3 aquaria for each of the 6 treatment combinations. A full description of the pH control for this system can be found in Kroeker et al. 2021, but in short: pH was regulated using a relay system that controlled mixing of pre-equilibrated low-pH seawater (formed by bubbling pure CO<sub>2 </sub>gas into seawater: pH6.0) and ambient pH seawater into 9 header buckets (n=3 headers per pH treatment) that then flowed into the experimental aquaria. Each header bucket was equipped with a pH sensor (DuraFET, Honeywell) communicating with a controller (UDA 2152, Honeywell) to regulate flow of the low pH water through solenoid valves to maintain pre-programmed pH setpoints. Experimental pH levels were chosen to reflect current seasonal minimums of coastal pH measured at Harris Is. (57.032N, 135.277W) from 2016-2017, as well as end-of-century projections for Gulf of Alaska pH levels based on RCP 8.5 (-0.3 pH<sub>T</sub> from current levels). Experimental light regimes were defined using seasonal averages for day length and measured irradiance level at 10m depth at Harris Is.</p>
<p>Within each pH level and light treatment combination, half of the individual Crusticorallina spp. and B. orbigniana were randomly assigned to be paired in close proximity with the fleshy red alga Cryptopleura ruprechtiana (n=6 species treatment<sup>-1</sup>). All algal individuals were collected on Aug 5, 2017 at Harris Is. Total experimental duration was 45d (Aug 7-Sept 21, 2017). To monitor treatment conditions, we used a handheld meter (YSI) to take daily temperature readings in the replicate aquaria and measure salinity of incoming seawater daily just upstream of our experimental system. Additionally, discrete water samples were collected from replicate aquaria at four timepoints (Aug 18, 22, 25, and Sept 15) for determination of pH (total scale) and total alkalinity (TA). Discrete samples were collected without aeration in amber glass bottles, immediately poisoned with saturated HgCl<sub>2</sub> (0.025% volume<sup>-1</sup>), and capped to prevent air exchange.</p>
<p>Discrete water samples for laboratory measurements of pH and/or TA were transported to UCSC for analysis within 8 months of collection. We measured pH spectrophotometrically (Shimadzu, UV-1800) using m-cresol purple dye following best practices (Dickson et al. 2017), with an average standard error of ± 0.0013 pH units among sample triplicates. TA measurements were performed using open cell titration (Metrohm, 905 Titrandro) and corrected against certified reference materials of CO<sub>2</sub> in seawater (Dickson laboratory, Scripps Institution of Oceanography), with an average standard error of ±0.933μmol kg<sup>-1</sup> SW<sup>-1</sup> among sample triplicates. To calculate pH<sub>T</sub> in the replicate aquaria at the time of water sampling, we used our measurements of spectrophotometric pH, TA, temperature, and salinity, as well as the dissociation constants as inputs to the program CO2SYS. This dataset reflects all of the above-described data, including final carbonate chemistry calculations from CO2SYS.</p>
<p><strong>Problem report: </strong>&nbsp;</p>
<p>Discrete water samples had to be stored and shipped from Southeast Alaska to Santa Cruz, CA for analysis, and some samples were broken in transit and unusable. Additionally, we recognize that the delay between collection and laboratory analysis of water sample spec pH and TA may have resulted in a measurable amount of drift in these parameters, but we were unable to quantify any drift that may have occurred and thus these values are uncorrected. Lastly, calculated parameters for certain samples did not follow expected relationships (e.g., among spec pH and pCO2) and thus were flagged for potentially poor quality, which may have been caused by biological contamination in bottle samples.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1752600 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1752600
completed
Kristy J. Kroeker
University of California-Santa Cruz
831-566-8253
100 Shaffer Road
Santa Cruz
CA
95060
USA
kkroeker@ucsc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
header
tank_rep
YSI_timestamp_AKST
YSI_timestamp_UTC
pH
light
YSI_DO
YSI_pH
YSI_sal
YSI_temp
titrator_TA
spec_pH
CO2SYS_pH
CO2SYS_fCO2
CO2SYS_pCO2
CO2SYS_HCO3
CO2SYS_CO3
CO2SYS_CO2
CO2SYS_B
CO2SYS_OH
CO2SYS_CaOMEGA
CO2SYS_ArgOMEGA
quality_flag
18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center
YSI handheld meter
Honeywell DuraFET and UDA 2152
Metrohm 905 Titrandro Titrator
Shimadzu UV-1800 spectrophotometer
theme
None, User defined
replicate
Date and time
pH
treatment
dissolved Oxygen
salinity
water temperature at measurement depth
total alkalinity (TA)
fugacity of CO2
Partial pressure of CO2
bicarbonate concentration [HCO3]-
Carbonate concentration [CO3]2-
carbon dioxide
Boron
No BCO-DMO term
Calcite Saturation State
Aragonite Saturation State
quality flag
featureType
BCO-DMO Standard Parameters
Aquarium
Discrete water sampler
pH Sensor
Titrator
UV Spectrophotometer-Shimadzu
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.
CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem
https://osprey.bco-dmo.org/project/756735
CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem
<p><em>NSF Award Abstract:</em><br />
High latitude kelp forests support a wealth of ecologically and economically important species, buffer coastlines from high-energy storms, and play a critical role in the marine carbon cycle by sequestering and storing large amounts of carbon. Understanding how energy fluxes and consumer-resource interactions vary in these kelp communities is critical for defining robust management strategies that help maintain these valuable ecosystem services. In this integrated research and education program, the project team will investigate how consumer populations respond to variability in temperature, carbonate chemistry and resource quality to influence the food webs and ecosystem stability of kelp forests. A comprehensive suite of studies conducted at the northern range limit for giant kelp (Macrocystis pyrifera) in SE Alaska will examine how kelp communities respond to variable environmental conditions arising from seasonal variability and changing ocean temperature and acidification conditions. As part of this project, undergraduate and high school students will receive comprehensive training through (1) an immersive field-based class in Sitka Sound, Alaska, (2) intensive, mentored research internships, and (3) experiential training in science communication and public outreach that will include a variety of opportunities to disseminate research findings through podcasts, public lectures and radio broadcasts.</p>
<p>Consumer-resource interactions structure food webs and govern ecosystem stability, yet our understanding of how these important interactions may change under future climatic conditions is hampered by the complexity of direct and indirect effects of multiple stressors within and between trophic levels. For example, environmentally mediated changes in nutritional quality and chemical deterrence of primary producers have the potential to alter herbivory rates and energy fluxes between primary producers and consumers, with implications for ecosystem stability. Moreover, the effects of global change on primary producers are likely to depend on other limiting resources, such as light and nutrients, which vary seasonally in dynamic, temperate and high latitude ecosystems. In marine ecosystems at high latitude, climate models predict that ocean acidification will be most pronounced during the winter months, when primary production is limited by light. This project is built around the hypothesis that there could be a mismatch in the energetic demands of primary consumers caused by warming and ocean acidification and resource availability and quality during winter months, with cascading effects on trophic structure and ecosystem stability in the future. Through complementary lab and field experiments, the project team will determine 1) how temperature and carbonate chemistry combine to affect primary consumer bioenergetics across a diversity of species and 2) the indirect effects of ocean acidification and warming on primary consumers via environmentally mediated changes in the availability, nutritional quality and palatability of primary producers across seasons. Using the data from the laboratory and field experiments, the project team will 3) construct a model of the emergent effects of warming and ocean acidification on trophic structure and ecosystem stability in seasonally dynamic, high latitude environments.</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>
High latitude kelp dynamics
largerWorkCitation
project
eng; USA
oceans
-135.277
-135.277
57.032
57.032
2017-08-18
2017-09-15
SE Alaskan coastal waters
0
BCO-DMO catalogue of parameters from Environmental data from experimental aquaria during a laboratory experiment testing the effects of pH, light availability and biotic interaction on coralline algae calcification and productivity at the Sitka Sound Science Center in 2017
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/857118.rdf
Name: header
Units: unitless
Description: <p>ID of experimental header bucket</p>
http://lod.bco-dmo.org/id/dataset-parameter/857119.rdf
Name: tank_rep
Units: unitless
Description: <p>alphabetic ID of experimental tank replicate (B or C)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857120.rdf
Name: YSI_timestamp_AKST
Units: unitless
Description: <p>datetime (AKST) of YSI and water sample collection; format: YYYY-MM-DD H:M</p>
http://lod.bco-dmo.org/id/dataset-parameter/857121.rdf
Name: YSI_timestamp_UTC
Units: unitless
Description: <p>datetime (AKST) of YSI and water sample collection; format: YYYY-MM-DDT%H:MZ</p>
http://lod.bco-dmo.org/id/dataset-parameter/857122.rdf
Name: pH
Units: unitless
Description: <p>experimental pH treatment level</p>
http://lod.bco-dmo.org/id/dataset-parameter/857123.rdf
Name: light
Units: unitless
Description: <p>experimental light regime treatment (winter or summer)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857124.rdf
Name: YSI_DO
Units: mg/L
Description: <p>YSI measured dissolved oxygen</p>
http://lod.bco-dmo.org/id/dataset-parameter/857125.rdf
Name: YSI_pH
Units: unitless
Description: <p>YSI measured pH (calibrated to FW standards)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857126.rdf
Name: YSI_sal
Units: parts per thousand (ppt)
Description: <p>YSI measured salinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/857127.rdf
Name: YSI_temp
Units: degrees C
Description: <p>YSI measured temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/857128.rdf
Name: titrator_TA
Units: µmol kg-1
Description: <p>mean total alkalinity from triplicate sample measurement</p>
http://lod.bco-dmo.org/id/dataset-parameter/857129.rdf
Name: spec_pH
Units: unitless
Description: <p>mean spec pH from triplicate sample measurement</p>
http://lod.bco-dmo.org/id/dataset-parameter/857130.rdf
Name: CO2SYS_pH
Units: unitless
Description: <p>calculated pH</p>
http://lod.bco-dmo.org/id/dataset-parameter/857131.rdf
Name: CO2SYS_fCO2
Units: µatm
Description: <p>calculated fugacity of carbon dioxide</p>
http://lod.bco-dmo.org/id/dataset-parameter/857132.rdf
Name: CO2SYS_pCO2
Units: µatm
Description: <p>calculated partial pressure of carbon dioxide</p>
http://lod.bco-dmo.org/id/dataset-parameter/857133.rdf
Name: CO2SYS_HCO3
Units: µmol/kgSW
Description: <p>calculated bicarbonate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/857134.rdf
Name: CO2SYS_CO3
Units: µmol/kgSW
Description: <p>calculated carbonate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/857135.rdf
Name: CO2SYS_CO2
Units: µmol/kgSW
Description: <p>calculated carbon diozide concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/857136.rdf
Name: CO2SYS_B
Units: µmol/kgSW
Description: <p>calculated boron concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/857137.rdf
Name: CO2SYS_OH
Units: µmol/kgSW
Description: <p>calculated hydroxide concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/857138.rdf
Name: CO2SYS_CaOMEGA
Units: unitless
Description: <p>calculated calcite saturation state (Ω)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857139.rdf
Name: CO2SYS_ArgOMEGA
Units: unitless
Description: <p>calculated aragonite saturated state (Ω)</p>
http://lod.bco-dmo.org/id/dataset-parameter/857140.rdf
Name: quality_flag
Units: unitless
Description: <p>indicator of data quality (n = no flag - quality good; m = potential flag; y = bad data)</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
9456
https://darchive.mblwhoilibrary.org/bitstream/1912/27622/1/dataset-856902_coralline-algae-experiment-treatment-conditions__v1.tsv
download
https://doi.org/10.26008/1912/bco-dmo.856902.1
download
onLine
dataset
<p><strong>Methodology:&nbsp;</strong></p>
<p><strong>Sampling and analytical procedures: </strong>To test the response of the coralline algae Crusticorallina spp. and Bossiella orbigniana to future OA scenarios, we used an 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center to simulate three static pH<sub>T</sub> levels (current summer = 8.0, future summer/current winter = 7.7, future winter = 7.4) under two seasonal light regimes simulated with full-spectrum aquarium lights (AI Prime HD) (summer = PPFD 55μmol m<sup>-2</sup> s<sup>-1</sup>, 13h d<sup>-1</sup>, winter = PPFD 40μmol m<sup>-2</sup> s<sup>-1</sup>, 6h d<sup>-1</sup>). We had a total of 3 aquaria for each of the 6 treatment combinations. A full description of the pH control for this system can be found in Kroeker et al. 2021, but in short: pH was regulated using a relay system that controlled mixing of pre-equilibrated low-pH seawater (formed by bubbling pure CO<sub>2 </sub>gas into seawater: pH6.0) and ambient pH seawater into 9 header buckets (n=3 headers per pH treatment) that then flowed into the experimental aquaria. Each header bucket was equipped with a pH sensor (DuraFET, Honeywell) communicating with a controller (UDA 2152, Honeywell) to regulate flow of the low pH water through solenoid valves to maintain pre-programmed pH setpoints. Experimental pH levels were chosen to reflect current seasonal minimums of coastal pH measured at Harris Is. (57.032N, 135.277W) from 2016-2017, as well as end-of-century projections for Gulf of Alaska pH levels based on RCP 8.5 (-0.3 pH<sub>T</sub> from current levels). Experimental light regimes were defined using seasonal averages for day length and measured irradiance level at 10m depth at Harris Is.</p>
<p>Within each pH level and light treatment combination, half of the individual Crusticorallina spp. and B. orbigniana were randomly assigned to be paired in close proximity with the fleshy red alga Cryptopleura ruprechtiana (n=6 species treatment<sup>-1</sup>). All algal individuals were collected on Aug 5, 2017 at Harris Is. Total experimental duration was 45d (Aug 7-Sept 21, 2017). To monitor treatment conditions, we used a handheld meter (YSI) to take daily temperature readings in the replicate aquaria and measure salinity of incoming seawater daily just upstream of our experimental system. Additionally, discrete water samples were collected from replicate aquaria at four timepoints (Aug 18, 22, 25, and Sept 15) for determination of pH (total scale) and total alkalinity (TA). Discrete samples were collected without aeration in amber glass bottles, immediately poisoned with saturated HgCl<sub>2</sub> (0.025% volume<sup>-1</sup>), and capped to prevent air exchange.</p>
<p>Discrete water samples for laboratory measurements of pH and/or TA were transported to UCSC for analysis within 8 months of collection. We measured pH spectrophotometrically (Shimadzu, UV-1800) using m-cresol purple dye following best practices (Dickson et al. 2017), with an average standard error of ± 0.0013 pH units among sample triplicates. TA measurements were performed using open cell titration (Metrohm, 905 Titrandro) and corrected against certified reference materials of CO<sub>2</sub> in seawater (Dickson laboratory, Scripps Institution of Oceanography), with an average standard error of ±0.933μmol kg<sup>-1</sup> SW<sup>-1</sup> among sample triplicates. To calculate pH<sub>T</sub> in the replicate aquaria at the time of water sampling, we used our measurements of spectrophotometric pH, TA, temperature, and salinity, as well as the dissociation constants as inputs to the program CO2SYS. This dataset reflects all of the above-described data, including final carbonate chemistry calculations from CO2SYS.</p>
<p><strong>Problem report: </strong>&nbsp;</p>
<p>Discrete water samples had to be stored and shipped from Southeast Alaska to Santa Cruz, CA for analysis, and some samples were broken in transit and unusable. Additionally, we recognize that the delay between collection and laboratory analysis of water sample spec pH and TA may have resulted in a measurable amount of drift in these parameters, but we were unable to quantify any drift that may have occurred and thus these values are uncorrected. Lastly, calculated parameters for certain samples did not follow expected relationships (e.g., among spec pH and pCO2) and thus were flagged for potentially poor quality, which may have been caused by biological contamination in bottle samples.</p>
Specified by the Principal Investigator(s)
<p><strong>Data processing notes from researcher:</strong></p>
<p>All columns with prefix “CO2SYS_” were calculated using the program CO2SYS using prior column data as inputs.</p>
<p><strong>BCO-DMO processing notes:</strong></p>
<p>Renamed field tank.rep to tank_rep in order to meet BCO-DMO field naming conventions</p>
<p>Converted datatime to ISO 8061 standard</p>
<p>Added UTC formatted datetime</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
18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center
18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center
PI Supplied Instrument Name: 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center PI Supplied Instrument Description:To test the response of the coralline algae Crusticorallina spp. and Bossiella orbigniana to future OA scenarios, we used an 18-aquaria indoor experimental system with flow-through seawater at the Sitka Sound Science Center to simulate three static pHT levels (current summer = 8.0, future summer/current winter = 7.7, future winter = 7.4) under two seasonal light regimes simulated with full-spectrum aquarium lights (AI Prime HD) (summer = PPFD 55μmol m-2 s-1, 13h d-1, winter = PPFD 40μmol m-2 s-1, 6h d-1). We had a total of 3 aquaria for each of the 6 treatment combinations. Instrument Name: Aquarium Instrument Short Name:Aquarium Instrument Description: Aquarium - a vivarium consisting of at least one transparent side in which water-dwelling plants or animals are kept
YSI handheld meter
YSI handheld meter
PI Supplied Instrument Name: YSI handheld meter PI Supplied Instrument Description:To monitor treatment conditions, we used a handheld meter (YSI) to take daily temperature readings in the replicate aquaria and measure salinity of incoming seawater daily just upstream of our experimental system. YSI handheld meter used to measure dissolved oxygen, pH, salinity, and temperature. Instrument Name: Discrete water sampler Instrument Short Name: Instrument Description: A device that collects an in-situ discrete water sample from any depth and returns it to the surface without contamination by the waters through which it passes, such as a water bottle.
Honeywell DuraFET and UDA 2152
Honeywell DuraFET and UDA 2152
PI Supplied Instrument Name: Honeywell DuraFET and UDA 2152 PI Supplied Instrument Description:Each header bucket was equipped with a pH sensor (DuraFET, Honeywell) communicating with a controller (UDA 2152, Honeywell) to regulate flow of the low pH water through solenoid valves to maintain pre-programmed pH setpoints. Instrument Name: pH Sensor Instrument Short Name:pH Sensor Instrument Description: An instrument that measures the hydrogen ion activity in solutions.
The overall concentration of hydrogen ions is inversely related to its pH. The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+).
Metrohm 905 Titrandro Titrator
Metrohm 905 Titrandro Titrator
PI Supplied Instrument Name: Metrohm 905 Titrandro Titrator PI Supplied Instrument Description:Total alkalinity (TA )measurements were performed using open cell titration and corrected against certified reference materials of CO2 in seawater (Dickson laboratory, Scripps Institution of Oceanography), with an average standard error of ±0.933μmol kg-1 SW-1 among sample triplicates. 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/
Shimadzu UV-1800 spectrophotometer
Shimadzu UV-1800 spectrophotometer
PI Supplied Instrument Name: Shimadzu UV-1800 spectrophotometer PI Supplied Instrument Description:We measured pH spectrophotometrically (Shimadzu, UV-1800) using m-cresol purple dye following best practices (Dickson et al. 2017), with an average standard error of ± 0.0013 pH units among sample triplicates. Instrument Name: UV Spectrophotometer-Shimadzu Instrument Short Name:UV Spectrophotometer-Shimadzu Instrument Description: The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/