http://lod.bco-dmo.org/id/dataset/738494
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
2018-06-13
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Table 2: Carbonate data and nutrients measured during Calanus finmarchicus and Meganyctiphanes norvegica egg hatching success experiments, 2011-2012
2018-06-13
publication
2018-06-13
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-12-04
publication
https://doi.org/10.1575/1912/bco-dmo.738494.1
John P Christensen
Green Eyes LLC
principalInvestigator
Jeffrey A. Runge
Gulf of Maine Research Institute
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: Christensen, J., Runge, J. (2018) Table 2: Carbonate data and nutrients measured during Calanus finmarchicus and Meganyctiphanes norvegica egg hatching success experiments, 2011-2012. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-06-13 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.738494.1 [access date]
Table 2 - Carbonate data and nutrients during egg experiments Dataset Description: <p>This dataset presents the carbonate system and nutrients measurements during Calanus finmarchicus and Meganyctiphanes norvegica egg hatching success experiments, 2011-2012. Results are published in Preziosi et al (2017), Table 2.</p> Methods and Sampling: <p>Total Alkalinity:&nbsp; Alkalinity was determined using an open cell titration with HCl (Dickson et al., 2007).&nbsp; The pH meter was a Corning model 109 which had been adapted so that the millivolt out was logged by computer through a 14 bit A to D converter.&nbsp; The electrode was an Orion Ross ultra semi-micro glass electrode model 8103-BNUWP.&nbsp; The pH electrode was standardized with accurate pH buffers.&nbsp; The tris buffer ( 2-amino-2-hydroxymethyl-1,3-propanediol) had a pH of about 8.09 depending on temperature.&nbsp; The AMP buffer (2-aminopyridine) had a pH of about 6.79 depending on temperature.&nbsp; Both were dissolved in artificial seawater at S = 35 (Dickson et al., 2007, SOP-6a).&nbsp; Samples and standards were titrated with a 0.15 M HCl solution in 0.45 M NaCl and the temperature was measured to the nearest 0.01C using a NIST calibrated platinum thermometer.&nbsp; The alkalinity standards generally were precise alkalinity/total carbon dioxide seawater standards from Scripps Institute of Oceanography (SIO), but early experiments also used a phosphate buffer standard comprised of an equal molar mixture of KH2PO4&nbsp;and Na2HPO4&nbsp;-7 H2O in 0.70 M NaCl.&nbsp; This phosphate standard was cross calibrated with the SIO standards.&nbsp; The procedure used generally gave the precision of several replicate standard titrations of 0.06% (standard error of the mean as percent of the mean value).&nbsp; Alkalinities were determined by the fitting procedure described in Dickson et al., 2007 (SOP-3b).</p>
<p>Total Carbon Dioxide:&nbsp; These concentrations were determined by acid stripping a 1.113 ml volume of water sample or TCO2&nbsp;standard, trapping the expelled CO2, and then injecting it into a Shimadzu Model GC-8A gas chromatograph with a thermal conductivity detector (Christensen, 2008).&nbsp; Two standards were employed, ones made from prebaked and freshly made Na2CO3, and the previously mentioned SIO total carbon dioxide seawater standards.&nbsp; This analytical system obtained a precision of about 0.06% (standard error of the mean as percent of the mean).&nbsp; However, in the results listed in this report, precision was less, averaging about 0.25% (standard error of the mean as percent of the mean) because sample analysis time was speeded up causing slightly less efficient trapping of the sample's CO2.&nbsp;</p>
<p>Salinity and Nutrients:&nbsp; Salinity was determined using an Autosal 8400A conductivity salinometer with IAPSO standard seawater standards.&nbsp; Replicate determinations of a single sample were made until two consecutive readings of conductivity matched within +/- 0.002 ppt.&nbsp; Nutrients were determined by autoanalyzer using the methods for nitrate and nitrite of Armstrong et al. (1967) and Pavlou (1972), for ammonium of Koroleff (1970) and Slawyk and MacIsaac (1972), for dissolved inorganic phosphate (Drummond and Maher, 1995), and dissolved silicate (Armstrong et al., 1967).&nbsp; Concentrations were measured in mol L-1&nbsp;and converted to mol kg-1&nbsp;based on the sample's sigma-t value computed from the sample's salinity and the laboratory temperature during analysis.</p>
<p>Calculation of Carbonate System Parameters:&nbsp; Carbonate system parameters, include total pH, were calculated from the measured chemistry of the water samples using the carbonate equilibrium model, CO2SYS (DOE, 1994; Lewis and Wallace, 1995).&nbsp; This program employs the equilibrium coefficients of Roy et al. (1993) for carbonate coefficients, K1 and K2, of Weiss (1974) for carbon dioxide, K0, of Dickson (1990a) for borate, of Dickson and Riley (1979) for fluoride, of Dickson (1990b) for sulfate, and of Millero (1995) for phosphate (kp1, kp2, kp3) and silicate.&nbsp; Seawater density at atmospheric pressure was that of UNESCO (1981).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1041081 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1041081
completed
John P Christensen
Green Eyes LLC
207-725-0681
74 Orion Street Suite 1
Brunswick
ME
04011
USA
jchriste@newenglandoceanlab.org
pointOfContact
Jeffrey A. Runge
Gulf of Maine Research Institute
207-772-2321
350 Commercial Street
Portland
ME
04101
USA
jrunge@gmri.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
SAMPLING_DATE
EXPERIMENT
EVENT
TIME_elapsed
TANK
TEMP
SAL
ALKALIN
TCO2
NO3_NO2
NH4
PO4
SI
PHTTL
XCO2
OMCA
OMAR
Autosal 8400A conductivity salinometer
Corning model 109
Shimadzu Model GC-8A gas chromatograph
theme
None, User defined
date
experiment id
event
time_elapsed
sample identification
water temperature at measurement depth
salinity
total alkalinity (TA)
total Carbon Dioxide in seawater
nitrate plus nitrite
Ammonium
reactive phosphorus (PO4)
Silicate, Si(OH)4, silicic acid
pH
Calcite Saturation State
Aragonite Saturation State
featureType
BCO-DMO Standard Parameters
Autosal salinometer
Benchtop pH Meter
Gas Chromatograph
Nutrient Autoanalyzer
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.
Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503477
Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES): Ocean Acidification (formerly CRI-OA)
NSF Climate Research Investment (CRI) activities that were initiated in 2010 are now included under Science, Engineering and Education for Sustainability NSF-Wide Investment (SEES). SEES is a portfolio of activities that highlights NSF's unique role in helping society address the challenge(s) of achieving sustainability. Detailed information about the SEES program is available from NSF (https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504707).
In recognition of the need for basic research concerning the nature, extent and impact of ocean acidification on oceanic environments in the past, present and future, the goal of the SEES: OA program is to understand (a) the chemistry and physical chemistry of ocean acidification; (b) how ocean acidification interacts with processes at the organismal level; and (c) how the earth system history informs our understanding of the effects of ocean acidification on the present day and future ocean.
Solicitations issued under this program:
NSF 10-530, FY 2010-FY2011
NSF 12-500, FY 2012
NSF 12-600, FY 2013
NSF 13-586, FY 2014
NSF 13-586 was the final solicitation that will be released for this program.
PI Meetings:
1st U.S. Ocean Acidification PI Meeting(March 22-24, 2011, Woods Hole, MA)
2nd U.S. Ocean Acidification PI Meeting(Sept. 18-20, 2013, Washington, DC)
3rd U.S. Ocean Acidification PI Meeting (June 9-11, 2015, Woods Hole, MA – Tentative)
NSF media releases for the Ocean Acidification Program:
Press Release 10-186 NSF Awards Grants to Study Effects of Ocean Acidification
Discovery Blue Mussels "Hang On" Along Rocky Shores: For How Long?
Discovery nsf.gov - National Science Foundation (NSF) Discoveries - Trouble in Paradise: Ocean Acidification This Way Comes - US National Science Foundation (NSF)
Press Release 12-179 nsf.gov - National Science Foundation (NSF) News - Ocean Acidification: Finding New Answers Through National Science Foundation Research Grants - US National Science Foundation (NSF)
Press Release 13-102 World Oceans Month Brings Mixed News for Oysters
Press Release 13-108 nsf.gov - National Science Foundation (NSF) News - Natural Underwater Springs Show How Coral Reefs Respond to Ocean Acidification - US National Science Foundation (NSF)
Press Release 13-148 Ocean acidification: Making new discoveries through National Science Foundation research grants
Press Release 13-148 - Video nsf.gov - News - Video - NSF Ocean Sciences Division Director David Conover answers questions about ocean acidification. - US National Science Foundation (NSF)
Press Release 14-010 nsf.gov - National Science Foundation (NSF) News - Palau's coral reefs surprisingly resistant to ocean acidification - US National Science Foundation (NSF)
Press Release 14-116 nsf.gov - National Science Foundation (NSF) News - Ocean Acidification: NSF awards $11.4 million in new grants to study effects on marine ecosystems - US National Science Foundation (NSF)
SEES-OA
largerWorkCitation
program
Ocean Carbon and Biogeochemistry
http://us-ocb.org/
Ocean Carbon and Biogeochemistry
The Ocean Carbon and Biogeochemistry (OCB) program focuses on the ocean's role as a component of the global Earth system, bringing together research in geochemistry, ocean physics, and ecology that inform on and advance our understanding of ocean biogeochemistry. The overall program goals are to promote, plan, and coordinate collaborative, multidisciplinary research opportunities within the U.S. research community and with international partners. Important OCB-related activities currently include: the Ocean Carbon and Climate Change (OCCC) and the North American Carbon Program (NACP); U.S. contributions to IMBER, SOLAS, CARBOOCEAN; and numerous U.S. single-investigator and medium-size research projects funded by U.S. federal agencies including NASA, NOAA, and NSF.
The scientific mission of OCB is to study the evolving role of the ocean in the global carbon cycle, in the face of environmental variability and change through studies of marine biogeochemical cycles and associated ecosystems.
The overarching OCB science themes include improved understanding and prediction of: 1) oceanic uptake and release of atmospheric CO2 and other greenhouse gases and 2) environmental sensitivities of biogeochemical cycles, marine ecosystems, and interactions between the two.
The OCB Research Priorities (updated January 2012) include: ocean acidification; terrestrial/coastal carbon fluxes and exchanges; climate sensitivities of and change in ecosystem structure and associated impacts on biogeochemical cycles; mesopelagic ecological and biogeochemical interactions; benthic-pelagic feedbacks on biogeochemical cycles; ocean carbon uptake and storage; and expanding low-oxygen conditions in the coastal and open oceans.
OCB
largerWorkCitation
program
Ocean Acidification-Category 1- Impact of ocean acidification on survival of early life stages of planktonic copepods in the genus Calanus in the northern
https://osprey.bco-dmo.org/project/2184
Ocean Acidification-Category 1- Impact of ocean acidification on survival of early life stages of planktonic copepods in the genus Calanus in the northern
<p><em>The project description is a modification of the original NSF award abstract.</em></p>
<p>This research project is part of the larger NSF funded CRI-OA collaborative research initiative and was funded as an Ocean Acidification-Category 1, 2010 award. While attention concerning impacts of predicted acidification of the world's oceans has focused on calcifying organisms, non-calcifying plankton may also be vulnerable. In this project, the investigator will evaluate the potential for impacts of ocean acidification on the reproductive success of three species of planktonic copepods in the genus Calanus that are prominent in high latitude oceans. <em>C. finmarchicus</em> dominates the mesozooplankton biomass across much of the coastal and deep North Atlantic Ocean. <em>C. glacialis</em> and the larger <em>C. hyperboreus</em> are among the most abundant planktonic copepods in the Arctic Ocean. Previous research showed that hatching success of <em>C. finmarchicus</em> eggs was severely inhibited by increased CO2 and lower pH in seawater, but only tested at an extreme level. Preliminary results in the investigator's laboratory indicate that hatching success of <em>C. finmarchicus</em> is substantially reduced at increased seawater CO2 concentrations corresponding to pH levels between 7.9 and 7.5. Predictions of likely decline of surface pH levels to 7.7-7.8 over the next century raise questions about impacts on Calanus population dynamics if these preliminary results are confirmed. <em>C. finmarchicus</em>, for example, is presently at the southern edge of its range in the Gulf of Maine. The combination of higher surface layer temperature and lower pH may inhibit reproductive success during the late summer/fall bloom, which the PI hypothesize is critical to sustain the overwintering stock in this region. The investigators will collect <em>C. finmarchicus</em> females from the Gulf of Maine and, with the assistance of Canadian colleagues, <em>C. glacialis</em> and <em>C. hyperboreus</em> females from the deep lower St. Lawrence Estuary. They will conduct laboratory experiments in which hatching success, development and growth of Calanus nauplius stages are measured in controls of natural seawater and at a series of treatments in which CO2 concentrations, pH and temperature are rigorously controlled to represent possible future states of the northern ocean. The investigators will measure present surface and deep pCO2 and pH across the Gulf of Maine, including its deep basins, during a research cruise. The study will evaluate the hypothesis that predicted levels of CO2 increase in the northern ocean will impact population dynamics of the Calanus species. Using the results from the research cruise and a recently developed 1-D, Individual-Based life cycle model, the PI will explore in detail scenarios of impact of higher temperature and lower surface and deep pH on population dynamics of <em>C. finmarchicus</em> in the Gulf of Maine.</p>
<p>The lipid-rich Calanus species are considered key intermediary links between primary production and higher trophic levels in North Atlantic and Arctic Ocean food webs. Impacts of higher surface temperature and lower pH on reproductive success may potentially lead to profound changes in energy transfer and structure of pelagic ecosystems in the northern oceans. In the Gulf of Maine, <em>C. finmarchicus</em> serves as primary prey for herring, sand lance, and mackerel, as well as the endangered northern right whale, warranting thorough evaluation of ocean acidification effects on its population dynamics.</p>
OA Calanus Survival
largerWorkCitation
project
eng; USA
oceans
-69.501
-69.501
43.7474
43.7474
2011-05-26
2012-08-01
Gulf of Maine
0
BCO-DMO catalogue of parameters from Table 2: Carbonate data and nutrients measured during Calanus finmarchicus and Meganyctiphanes norvegica egg hatching success experiments, 2011-2012
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/738509.rdf
Name: SAMPLING_DATE
Units: unitless
Description: <p>Date of sampling formatted as yymmdd</p>
http://lod.bco-dmo.org/id/dataset-parameter/738510.rdf
Name: EXPERIMENT
Units: unitless
Description: <p>Number of the experiment</p>
http://lod.bco-dmo.org/id/dataset-parameter/738511.rdf
Name: EVENT
Units: unitless
Description: <p>Number of the sampling event</p>
http://lod.bco-dmo.org/id/dataset-parameter/738512.rdf
Name: TIME_elapsed
Units: hours
Description: <p>Time from internment of eggs</p>
http://lod.bco-dmo.org/id/dataset-parameter/738513.rdf
Name: TANK
Units: unitless
Description: <p>Number of the tank</p>
http://lod.bco-dmo.org/id/dataset-parameter/738514.rdf
Name: TEMP
Units: degrees Celsius
Description: <p>Tank temperature</p>
http://lod.bco-dmo.org/id/dataset-parameter/738515.rdf
Name: SAL
Units: parts per thousand (ppt)
Description: <p>Salinity in the tank</p>
http://lod.bco-dmo.org/id/dataset-parameter/738516.rdf
Name: ALKALIN
Units: micromol/kilogram
Description: <p>Total alkalinity in the tank</p>
http://lod.bco-dmo.org/id/dataset-parameter/738517.rdf
Name: TCO2
Units: micromol/kilogram
Description: <p>Total CO2 concentration in the tank</p>
http://lod.bco-dmo.org/id/dataset-parameter/738518.rdf
Name: NO3_NO2
Units: micromol/kilogram
Description: <p>Tank's nitrate + nitrite concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/738519.rdf
Name: NH4
Units: micromol/kilogram
Description: <p>Tank's dissolved ammonium concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/738520.rdf
Name: PO4
Units: micromol/kilogram
Description: <p>Tank's dissolved phosphate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/738521.rdf
Name: SI
Units: micromol/kilogram
Description: <p>Tank's dissolved silicate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/738522.rdf
Name: PHTTL
Units: pH units
Description: <p>Total pH in the tank (calculated)</p>
http://lod.bco-dmo.org/id/dataset-parameter/738523.rdf
Name: XCO2
Units: parts per million (ppm) in dry gas
Description: <p>CO2 gas concentration (calculated)</p>
http://lod.bco-dmo.org/id/dataset-parameter/738524.rdf
Name: OMCA
Units: unitless
Description: <p>Degree of saturation for calcite</p>
http://lod.bco-dmo.org/id/dataset-parameter/738525.rdf
Name: OMAR
Units: unitless
Description: <p>Degree of saturation for aragonite</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
14148
https://darchive.mblwhoilibrary.org/bitstream/1912/24936/1/dataset-738494_table-2-carbonate-data-and-nutrients-during-egg-experiments__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.738494.1
download
onLine
dataset
<p>Total Alkalinity:&nbsp; Alkalinity was determined using an open cell titration with HCl (Dickson et al., 2007).&nbsp; The pH meter was a Corning model 109 which had been adapted so that the millivolt out was logged by computer through a 14 bit A to D converter.&nbsp; The electrode was an Orion Ross ultra semi-micro glass electrode model 8103-BNUWP.&nbsp; The pH electrode was standardized with accurate pH buffers.&nbsp; The tris buffer ( 2-amino-2-hydroxymethyl-1,3-propanediol) had a pH of about 8.09 depending on temperature.&nbsp; The AMP buffer (2-aminopyridine) had a pH of about 6.79 depending on temperature.&nbsp; Both were dissolved in artificial seawater at S = 35 (Dickson et al., 2007, SOP-6a).&nbsp; Samples and standards were titrated with a 0.15 M HCl solution in 0.45 M NaCl and the temperature was measured to the nearest 0.01C using a NIST calibrated platinum thermometer.&nbsp; The alkalinity standards generally were precise alkalinity/total carbon dioxide seawater standards from Scripps Institute of Oceanography (SIO), but early experiments also used a phosphate buffer standard comprised of an equal molar mixture of KH2PO4&nbsp;and Na2HPO4&nbsp;-7 H2O in 0.70 M NaCl.&nbsp; This phosphate standard was cross calibrated with the SIO standards.&nbsp; The procedure used generally gave the precision of several replicate standard titrations of 0.06% (standard error of the mean as percent of the mean value).&nbsp; Alkalinities were determined by the fitting procedure described in Dickson et al., 2007 (SOP-3b).</p>
<p>Total Carbon Dioxide:&nbsp; These concentrations were determined by acid stripping a 1.113 ml volume of water sample or TCO2&nbsp;standard, trapping the expelled CO2, and then injecting it into a Shimadzu Model GC-8A gas chromatograph with a thermal conductivity detector (Christensen, 2008).&nbsp; Two standards were employed, ones made from prebaked and freshly made Na2CO3, and the previously mentioned SIO total carbon dioxide seawater standards.&nbsp; This analytical system obtained a precision of about 0.06% (standard error of the mean as percent of the mean).&nbsp; However, in the results listed in this report, precision was less, averaging about 0.25% (standard error of the mean as percent of the mean) because sample analysis time was speeded up causing slightly less efficient trapping of the sample's CO2.&nbsp;</p>
<p>Salinity and Nutrients:&nbsp; Salinity was determined using an Autosal 8400A conductivity salinometer with IAPSO standard seawater standards.&nbsp; Replicate determinations of a single sample were made until two consecutive readings of conductivity matched within +/- 0.002 ppt.&nbsp; Nutrients were determined by autoanalyzer using the methods for nitrate and nitrite of Armstrong et al. (1967) and Pavlou (1972), for ammonium of Koroleff (1970) and Slawyk and MacIsaac (1972), for dissolved inorganic phosphate (Drummond and Maher, 1995), and dissolved silicate (Armstrong et al., 1967).&nbsp; Concentrations were measured in mol L-1&nbsp;and converted to mol kg-1&nbsp;based on the sample's sigma-t value computed from the sample's salinity and the laboratory temperature during analysis.</p>
<p>Calculation of Carbonate System Parameters:&nbsp; Carbonate system parameters, include total pH, were calculated from the measured chemistry of the water samples using the carbonate equilibrium model, CO2SYS (DOE, 1994; Lewis and Wallace, 1995).&nbsp; This program employs the equilibrium coefficients of Roy et al. (1993) for carbonate coefficients, K1 and K2, of Weiss (1974) for carbon dioxide, K0, of Dickson (1990a) for borate, of Dickson and Riley (1979) for fluoride, of Dickson (1990b) for sulfate, and of Millero (1995) for phosphate (kp1, kp2, kp3) and silicate.&nbsp; Seawater density at atmospheric pressure was that of UNESCO (1981).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing Notes:<br />
- added conventional header with dataset name, PI name, version date<br />
- modified parameter names to conform with BCO-DMO naming conventions<br />
- hid separator rows (all -99), and duplicate columns</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
Autosal 8400A conductivity salinometer
Autosal 8400A conductivity salinometer
PI Supplied Instrument Name: Autosal 8400A conductivity salinometer PI Supplied Instrument Description:Used to measure salinity, with IAPSO seawater standards. Instrument Name: Autosal salinometer Instrument Short Name:salinometer Instrument Description: The salinometer is an instrument for measuring the salinity of a water sample. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB30/
Corning model 109
Corning model 109
PI Supplied Instrument Name: Corning model 109 PI Supplied Instrument Description:Adapted so that the millivolt out was logged by computer through a 14 bit A to D converter. The electrode was an Orion Ross ultra semi-micro glass electrode model 8103-BNUWP. Instrument Name: Benchtop pH Meter Instrument Short Name:Benchtop pH Meter Instrument Description: An instrument consisting of an electronic voltmeter and pH-responsive electrode that gives a direct conversion of voltage differences to differences of pH at the measurement temperature. (McGraw-Hill Dictionary of Scientific and Technical Terms)
This instrument does not map to the NERC instrument vocabulary term for 'pH Sensor' which measures values in the water column. Benchtop models are typically employed for stationary lab applications.
Shimadzu Model GC-8A gas chromatograph
Shimadzu Model GC-8A gas chromatograph
PI Supplied Instrument Name: Shimadzu Model GC-8A gas chromatograph PI Supplied Instrument Description:Used to measure Total CO2, determined by acid stripping a 1.113 ml volume of water sample or TCO2 standard, trapping the expelled CO2, and then injecting it into the chromatograph had a thermal conductivity detector. Instrument Name: Gas Chromatograph Instrument Short Name:Gas Chromatograph Instrument Description: Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB02/
PI Supplied Instrument Name: Instrument Name: Nutrient Autoanalyzer Instrument Short Name:Nutrient Autoanalyzer Instrument Description: Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/