http://lod.bco-dmo.org/id/dataset/3769
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
2012-11-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Results from experiments on Pseudo-nitzschia fraudulenta growth and domic acid productionunder varying CO2 and silicate levels (PhytoTM_in_HighCO2 project)
2012-11-02
publication
2012-11-02
revision
BCO-DMO Linked Data URI
2012-11-02
creation
http://lod.bco-dmo.org/id/dataset/3769
Feixue Fu
University of Southern California
principalInvestigator
David A. Hutchins
University of Southern California
principalInvestigator
Sergio A. Sanudo-Wilhelmy
University of Southern California
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: Fu, F., Hutchins, D. A., Sanudo-Wilhelmy, S. A. (2012) Results from experiments on Pseudo-nitzschia fraudulenta growth and domic acid productionunder varying CO2 and silicate levels (PhytoTM_in_HighCO2 project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 02 Nov 2012) Version Date 2012-11-02 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/3769 [access date]
P. fraudulenta growth and domic acid production experiments under varying CO2 and silicate levels. Dataset Description: <p>Experimental data measuring domoic acid (DA) production and growth rate of the diatom <em>Pseudo-nitzschia fraudulenta </em>under changing pCO2 and silicate conditions. Growth under projected future CO2 levels (765 ppm) was tested in addition to modern (360 ppm) and pre-industrial (200 ppm) levels, under silicate replete and limited conditions.<br />
<br />
Data and methods are described in:<br />
Tatters AO, Fu F-X, Hutchins DA (2012) High CO2 and Silicate Limitation Synergistically Increase the Toxicity of Pseudo-nitzschia fraudulenta. PLoS ONE 7(2): e32116. doi:<a href="http://dx.doi.org/10.1371/journal.pone.0032116" target="_blank">10.1371/journal.pone.0032116</a></p> Methods and Sampling: <p>All methods below are described in Tatters et al. 2012<strong>.<br />
<br />
Culture, Media, and Sampling</strong><br />
<em>Pseudo-nitzschia fraudulenta</em> was isolated from public nearshore water collected at 34.08 N, 119.05 W in Ventura County, California in March, 2010. The culture was grown at 16 degrees C on a 12-h light:12-h dark cycle in modified f/2 enriched seawater growth media (Guillard 1975) under 90 photons per square meter per second of cool white fluorescent illumination. Silicate (Si(OH)4) final concentrations in the medium were 10.6 uM for the Si(OH)4-limited treatment and 106.1 uM for the nutrient replete treatment. Dissolved CO2 concentrations were controlled by gentle bubbling with commercially prepared air/CO2 mixtures (Praxair Gas).</p>
<p><strong>Cell Counts and Growth Rates</strong><br />
Steady state semi-continuous culture methodology was employed to maintain cultures in exponential state and specific growth rates were calculated as the equation:<br />
&nbsp;&nbsp;&nbsp; u = (lnNb - lnNa) / (tb - ta)<br />
where Na and Nb are the average cell density at times ta (directly after a dilution) and tb (directly before the next day's dilution). Growth rate as determined by bi-weekly microscopic cell counts and in vivo fluorescence determined the dilution rate of each bottle. Cells of <em>P. fraudulenta</em> preserved in acidified Lugol's solution were vortexed and enumerated by direct counts using an Accu-Scope 3032 inverted microscope according to the Utermohl method (1931). A minimum of 300 cells were counted to guarantee a 95% confidence interval with +/- 11.5% accuracy (Guillard 1973). Cultures were acclimated for a period of three months to the respective experimental conditions prior to splitting into triplicates, which were then further acclimated for one month (5 to 17 cell divisions) prior to final sampling.</p>
<p><strong>Domoic acidy by high performance liquid chromatography</strong><br />
High performance liquid chromatography with ultraviolet detection (HPLC-UV) of domoic acid (DA) was performed using a SCL-10ADVP controlled system (Shimadzu). The UV detector was programmed for sample and reference wavelengths of 242 and 280 nm respectively and the system was operated by EZ START software version 7.4 SP1 (Shimadzu). Cellular concentrations of domoic acid were determined according to Mafra et al., (2009) with slight modifications (Mafra et al 2009). Culture subsamples of 10 to 20 ml were carefully measured and cells were collected by gentle filtration on 25 mm GF/F filters (Whatman). The filters were stored in the dark at -20 degrees C. Filters were subsequently subject to sonication in 10% aqueous methanol for 2 min. at 40W in a water bath. The cell extracts were then clarified by centrifugation at 3000 x g for 10 min at 4 degrees C. The pellet was discarded and the clarified extracts were transferred to 300 ul polyspring inserts (National Scientific) placed inside clean 2.0 ml Target DPTM vials (National Scientific). Prior to analysis, all samples were treated with 0.15% trifluoroacetic acid (TFA).<br />
<br />
The chromatographic separation was carried out on a reversed phase Luna C18 (2) column (3 um, 2x100 mm, Phenomenex) at 25 degrees C with a mobile phase system consisting of water with 0.1% TFA (A), and acetonitrile (MeCN) with 0.1% TFA (B). The elution gradient began with a 10–35% B transition over 10 min, then was held at 35% B until 15 min, followed by a subsequent decrease to 10% B at 16 min, and held at 10% B. The flow rate was 0.2 ml per min and the injection volume 5 to 10 ul. Quantification of domoic acid was determined using certified reference material CRM-domoic acid-e obtained from the National Resource Council, Canada at a range of concentrations. Calibration curves of CRM-domoic acid-e were determined by linear regressions (r squared values=0.99) for each sample treatment. Interpolation from the standard curves was used to calculate the amount of compound injected from the peak areas of each sample under the same experimental conditions. Domoic acid per cell concentrations were determined by the ratio of reconstituted volume (300 ul) to the volume injected (5 to 10 ul) and dividing by the total cell count in the original sample. Reported values represent means of the results (n= 3). Domoic acid production rates were calculated by multiplying the growth rate by toxin per cell.</p>
<p><strong>Carbonate Buffer System analysis</strong><br />
Dissolved inorganic carbon analysis was performed using a CM5230 CO2 coulometer (UIC). pH was determined on freshly collected samples using a calibrated Orion 5-star plus pH meter using an NBS buffer system with three-point calibration. The pCO2 in the experimental media was calculated from these two parameters using CO2SYS software. For clarity, pCO2 treatments in the cultures are referred to in the data and text (Tatters et al. 2012) using rounded-off values of 200 ppm, pre-industrial atmospheric levels; 360 ppm, modern atmospheric levels: and 765 ppm, projected year 2100 levels.</p>
<p><strong>Carbonate buffer system parameters:</strong></p>
<p>&nbsp;</p>
<table border="1" cellpadding="2" cellspacing="0">
<tbody>
<tr>
<td>Treatment</td>
<td>pH</td>
<td>DIC (umol/kg)</td>
<td>Calculated pCO2 (ppm)</td>
</tr>
<tr>
<td>190 ppm</td>
<td>8.43</td>
<td>1965</td>
<td>198</td>
</tr>
<tr>
<td>380 ppm</td>
<td>8.23</td>
<td>2107</td>
<td>357</td>
</tr>
<tr>
<td>750 ppm</td>
<td>7.95</td>
<td>2249</td>
<td>764</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>Chlorophyll a, POC, PON</strong>, <strong>and Biogenic Silica</strong><br />
For chlorophyll a (Chl a) measurements, samples were filtered in duplicate onto 25 mm GF/F filters. Five ml of 90% acetone was later added and each vial was allowed to extract overnight in the dark at -20 degrees C. After 24 hours, Chl a was determined using a Turner Designs 10-AU fluorometer. For particulate organic carbon (POC) and nitrogen (PON), sample volumes of 20 ml were collected onto pre-combusted (450 degrees C for 5 h) GF/F glass fiber filters, stored at -20 degrees C, and dried at 55 degrees C before analysis. Molar POC and PON content was analyzed using a 4010 Costech Elemental Combustion System calibrated with methionine and atropine as reference materials. For measurement of biogenic silica, sample volumes of 20 ml were collected onto 0.6 uM polycarbonate filters until analysis. Cellular biogenic silica (BSi) was measured according to Brzezinski and Nelson (1995).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-0850730 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0850730
completed
Feixue Fu
University of Southern California
2137403188
Department of Biology, MC 0371, University of Southern California 3616 Trousdale Pkwy
Los Angeles
CA
90089
USA
ffu@usc.edu
pointOfContact
David A. Hutchins
University of Southern California
213-740-5616
Department of Biological Sciences 3616 Trousdale Parkway, AHF 20
Los Angeles
CA
90089
USA
dahutch@usc.edu
pointOfContact
Sergio A. Sanudo-Wilhelmy
University of Southern California
213-821-1302
3616 Trousdale Pkwy Dept. of Biological Sciences, AHF 206, Mail Code: 0371
Los Angeles
CA
90089
USA
sanudo@usc.edu
pointOfContact
asNeeded
Dataset Version: 02 Nov 2012
Unknown
condition
pCO2
replicate
BSi
POC
PON
POP
DIC
pH
DA_per_cell
DA_rate
chl_per_cell
growth_rate
counts
Benchtop pH Meter
CHN Elemental Analyzer
CO2 Coulometer
High Performance Liquid Chromatograph
Turner Designs Fluorometer -10-AU
theme
None, User defined
No BCO-DMO term
replicate
biogenic silica concentration
particulate organic Carbon
particulate organic Nitrogen
dissolved inorganic Carbon
pH
count
featureType
BCO-DMO Standard Parameters
Benchtop pH Meter
CHN Elemental Analyzer
CO2 Coulometer
High-Performance Liquid Chromatograph
Turner Designs Fluorometer 10-AU
instrument
BCO-DMO Standard Instruments
nearshore_sampling_Fu
lab_Fu
service
Deployment Activity
Coast of Ventura County CA
Los Angeles, CA
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Changing Phytoplankton Trace Metal Requirements in a High CO2 Ocean
https://osprey.bco-dmo.org/project/2241
Changing Phytoplankton Trace Metal Requirements in a High CO2 Ocean
<p>This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The award is also associated with the NSF Integrative Computing Education and Research (ICER) initiative.</p>
<p>Over the past two decades, the fundamental importance of iron and other bioactive trace metals in structuring marine food webs and biogeochemical cycles has been realized. Even more recently, over the past several years, the international ocean science community has begun to mobilize in an urgent effort to understand the ecosystem-level consequences of rising anthropogenic CO2 and acidification of the global ocean. This project examines the intersection of these two major research themes, by asking the question:<b> How will the trace element requirements of marine phytoplankton change in response to future increases in atmospheric pCO2?</b></p>
<p>Preliminary data generated by the investigators suggests that changing pCO2 can indeed profoundly affect the cellular quotas of Fe, Mo, Zn, Cd, Co and Mn in both prokaryotic and eukaryotic phytoplankton. Trace metals play critical roles as enzymatic co-factors for processes that are closely linked to the availability of CO2 such as carbon and nitrogen fixation, photosynthetic electron transport, and nutrient acquisition. Therefore, it is important to develop methods to quantitatively predict how algal metal requirements will change in tomorrow's rapidly changing ocean.</p>
<p>The investigators will take a three-pronged approach to addressing this overarching question:<br />
(1) Laboratory experiments will measure the trace metal quotas of steady-state cultures of key phytoplankton functional groups like diatoms, coccolithophores, Phaeocystis, and diazotrophic and pico-cyanobacteria while varying pCO2 both alone, and together with other limiting factors such as iron, temperature, and light.<br />
(2) Field work in the Southern California bight will provide measurements in trace metal stoichiometry of natural phytoplankton communities over a seasonal cycle in relation to pCO2 and other environmental variables -- this region is already experiencing some of the largest increases in acidic upwelled water along the entire West Coast.<br />
(3) This observational and correlative study will be coupled with manipulative experiments at the USC Catalina Island facility in which trace metal quotas of the same natural phytoplankton communities can be measured in relation to pCO2 shifts under controlled incubation conditions.</p>
<p>Together, these three complementary approaches will enable the investigators to determine over a variety of temporal and spatial scales how phytoplankton-driven trace element biogeochemistry is likely to change in a future high-CO2 ocean.</p>
PhytoTM_in_HighCO2
largerWorkCitation
project
eng; USA
oceans
Coast of Ventura County CA; Los Angeles, CA
2012-11-02
Laboratory
0
BCO-DMO catalogue of parameters from Results from experiments on Pseudo-nitzschia fraudulenta growth and domic acid productionunder varying CO2 and silicate levels (PhytoTM_in_HighCO2 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
http://lod.bco-dmo.org/id/dataset-parameter/30486.rdf
Name: condition
Units: text
Description: <p>Si availability. Replete = 106.1 uM Si; Limited = 10.6 uM Si.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30487.rdf
Name: pCO2
Units: ppm
Description: <p>Carbon dioxide partial pressure (see Acquisition Description).</p>
http://lod.bco-dmo.org/id/dataset-parameter/30488.rdf
Name: replicate
Units: text
Description: <p>Replicate indentifier (e.g. 190A, 190B, and 190C are three replicates of the 190 ppm treatment.)</p>
http://lod.bco-dmo.org/id/dataset-parameter/30489.rdf
Name: BSi
Units: umol/L
Description: <p>Cellular biogenic Silica.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30490.rdf
Name: POC
Units: umol/L
Description: <p>Particulate organic Carbon concentration.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30491.rdf
Name: PON
Units: umol/L
Description: <p>Particulate organic Nitrogen concentration.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30492.rdf
Name: POP
Units: umol/L
Description: <p>Particulate organic Phosphate concentration.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30493.rdf
Name: DIC
Units: umol/kg
Description: <p>Dissolved inorganic Carbon in umol per kilogram seawater.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30494.rdf
Name: pH
Units: unitless; pH scale
Description: <p>pH.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30495.rdf
Name: DA_per_cell
Units: pg per cell
Description: <p>Total domoic acid content per cell.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30496.rdf
Name: DA_rate
Units: pg per cell per day
Description: <p>Domoic acid production rate. Calculated by multiplying the growth rate by toxin (DA) per cell.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30497.rdf
Name: chl_per_cell
Units: pg
Description: <p>Chl-a per cell.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30498.rdf
Name: growth_rate
Units: growth rate per day
Description: <p>Specific growth rate.</p>
http://lod.bco-dmo.org/id/dataset-parameter/30499.rdf
Name: counts
Units: per mL
Description: <p>Number of cells.</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
2050
https://datadocs.bco-dmo.org/file/6YYMwZQhG13J3w/P_fraudulenta_exp.csv
P_fraudulenta_exp.csv
Primary data file for dataset ID 3769
download
https://osprey.bco-dmo.org/dataset/3769/data/download
download
onLine
dataset
<p>All methods below are described in Tatters et al. 2012<strong>.<br />
<br />
Culture, Media, and Sampling</strong><br />
<em>Pseudo-nitzschia fraudulenta</em> was isolated from public nearshore water collected at 34.08 N, 119.05 W in Ventura County, California in March, 2010. The culture was grown at 16 degrees C on a 12-h light:12-h dark cycle in modified f/2 enriched seawater growth media (Guillard 1975) under 90 photons per square meter per second of cool white fluorescent illumination. Silicate (Si(OH)4) final concentrations in the medium were 10.6 uM for the Si(OH)4-limited treatment and 106.1 uM for the nutrient replete treatment. Dissolved CO2 concentrations were controlled by gentle bubbling with commercially prepared air/CO2 mixtures (Praxair Gas).</p>
<p><strong>Cell Counts and Growth Rates</strong><br />
Steady state semi-continuous culture methodology was employed to maintain cultures in exponential state and specific growth rates were calculated as the equation:<br />
&nbsp;&nbsp;&nbsp; u = (lnNb - lnNa) / (tb - ta)<br />
where Na and Nb are the average cell density at times ta (directly after a dilution) and tb (directly before the next day's dilution). Growth rate as determined by bi-weekly microscopic cell counts and in vivo fluorescence determined the dilution rate of each bottle. Cells of <em>P. fraudulenta</em> preserved in acidified Lugol's solution were vortexed and enumerated by direct counts using an Accu-Scope 3032 inverted microscope according to the Utermohl method (1931). A minimum of 300 cells were counted to guarantee a 95% confidence interval with +/- 11.5% accuracy (Guillard 1973). Cultures were acclimated for a period of three months to the respective experimental conditions prior to splitting into triplicates, which were then further acclimated for one month (5 to 17 cell divisions) prior to final sampling.</p>
<p><strong>Domoic acidy by high performance liquid chromatography</strong><br />
High performance liquid chromatography with ultraviolet detection (HPLC-UV) of domoic acid (DA) was performed using a SCL-10ADVP controlled system (Shimadzu). The UV detector was programmed for sample and reference wavelengths of 242 and 280 nm respectively and the system was operated by EZ START software version 7.4 SP1 (Shimadzu). Cellular concentrations of domoic acid were determined according to Mafra et al., (2009) with slight modifications (Mafra et al 2009). Culture subsamples of 10 to 20 ml were carefully measured and cells were collected by gentle filtration on 25 mm GF/F filters (Whatman). The filters were stored in the dark at -20 degrees C. Filters were subsequently subject to sonication in 10% aqueous methanol for 2 min. at 40W in a water bath. The cell extracts were then clarified by centrifugation at 3000 x g for 10 min at 4 degrees C. The pellet was discarded and the clarified extracts were transferred to 300 ul polyspring inserts (National Scientific) placed inside clean 2.0 ml Target DPTM vials (National Scientific). Prior to analysis, all samples were treated with 0.15% trifluoroacetic acid (TFA).<br />
<br />
The chromatographic separation was carried out on a reversed phase Luna C18 (2) column (3 um, 2x100 mm, Phenomenex) at 25 degrees C with a mobile phase system consisting of water with 0.1% TFA (A), and acetonitrile (MeCN) with 0.1% TFA (B). The elution gradient began with a 10–35% B transition over 10 min, then was held at 35% B until 15 min, followed by a subsequent decrease to 10% B at 16 min, and held at 10% B. The flow rate was 0.2 ml per min and the injection volume 5 to 10 ul. Quantification of domoic acid was determined using certified reference material CRM-domoic acid-e obtained from the National Resource Council, Canada at a range of concentrations. Calibration curves of CRM-domoic acid-e were determined by linear regressions (r squared values=0.99) for each sample treatment. Interpolation from the standard curves was used to calculate the amount of compound injected from the peak areas of each sample under the same experimental conditions. Domoic acid per cell concentrations were determined by the ratio of reconstituted volume (300 ul) to the volume injected (5 to 10 ul) and dividing by the total cell count in the original sample. Reported values represent means of the results (n= 3). Domoic acid production rates were calculated by multiplying the growth rate by toxin per cell.</p>
<p><strong>Carbonate Buffer System analysis</strong><br />
Dissolved inorganic carbon analysis was performed using a CM5230 CO2 coulometer (UIC). pH was determined on freshly collected samples using a calibrated Orion 5-star plus pH meter using an NBS buffer system with three-point calibration. The pCO2 in the experimental media was calculated from these two parameters using CO2SYS software. For clarity, pCO2 treatments in the cultures are referred to in the data and text (Tatters et al. 2012) using rounded-off values of 200 ppm, pre-industrial atmospheric levels; 360 ppm, modern atmospheric levels: and 765 ppm, projected year 2100 levels.</p>
<p><strong>Carbonate buffer system parameters:</strong></p>
<p>&nbsp;</p>
<table border="1" cellpadding="2" cellspacing="0">
<tbody>
<tr>
<td>Treatment</td>
<td>pH</td>
<td>DIC (umol/kg)</td>
<td>Calculated pCO2 (ppm)</td>
</tr>
<tr>
<td>190 ppm</td>
<td>8.43</td>
<td>1965</td>
<td>198</td>
</tr>
<tr>
<td>380 ppm</td>
<td>8.23</td>
<td>2107</td>
<td>357</td>
</tr>
<tr>
<td>750 ppm</td>
<td>7.95</td>
<td>2249</td>
<td>764</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<p><strong>Chlorophyll a, POC, PON</strong>, <strong>and Biogenic Silica</strong><br />
For chlorophyll a (Chl a) measurements, samples were filtered in duplicate onto 25 mm GF/F filters. Five ml of 90% acetone was later added and each vial was allowed to extract overnight in the dark at -20 degrees C. After 24 hours, Chl a was determined using a Turner Designs 10-AU fluorometer. For particulate organic carbon (POC) and nitrogen (PON), sample volumes of 20 ml were collected onto pre-combusted (450 degrees C for 5 h) GF/F glass fiber filters, stored at -20 degrees C, and dried at 55 degrees C before analysis. Molar POC and PON content was analyzed using a 4010 Costech Elemental Combustion System calibrated with methionine and atropine as reference materials. For measurement of biogenic silica, sample volumes of 20 ml were collected onto 0.6 uM polycarbonate filters until analysis. Cellular biogenic silica (BSi) was measured according to Brzezinski and Nelson (1995).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO merged data submitted as 2 separate tables into one dataset. Parameter names were changed to conform with BCO-DMO conventions.</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
Benchtop pH Meter
Benchtop pH Meter
PI Supplied Instrument Name: Benchtop pH Meter PI Supplied Instrument Description:pH of the carbonate buffer system was determined on freshly collected samples using a calibrated Orion 5-star plus pH meter. 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.
CHN Elemental Analyzer
CHN Elemental Analyzer
PI Supplied Instrument Name: CHN Elemental Analyzer PI Supplied Instrument Description:Molar POC and PON were analyzed using a 4010 Costech elemental analyzer (combustion system). Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
CO2 Coulometer
CO2 Coulometer
PI Supplied Instrument Name: CO2 Coulometer PI Supplied Instrument Description:DIC analysis was perfomed using a CM5230 CO2 coulometer manufactured by UIC, Inc. Instrument Name: CO2 Coulometer Instrument Short Name:CO2 coulometer Instrument Description: A CO2 coulometer semi-automatically controls the sample handling and extraction of CO2 from seawater samples. Samples are acidified and the CO2 gas is bubbled into a titration cell where CO2 is converted to hydroxyethylcarbonic acid which is then automatically titrated with a coulometrically-generated base to a colorimetric endpoint. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB12
High Performance Liquid Chromatograph
High Performance Liquid Chromatograph
PI Supplied Instrument Name: High Performance Liquid Chromatograph PI Supplied Instrument Description:High performance liquid chromatography with ultraviolet detection (HPLC-UV) of domoic acid was performed using a Shimadzu SCL-10ADVP controlled system. Instrument Name: High-Performance Liquid Chromatograph Instrument Short Name:HPLC Instrument Description: A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB11/
Turner Designs Fluorometer -10-AU
Turner Designs Fluorometer -10-AU
PI Supplied Instrument Name: Turner Designs Fluorometer -10-AU PI Supplied Instrument Description:Turner Designs 10-AU fluorometer was used to determine chl-a. Instrument Name: Turner Designs Fluorometer 10-AU Instrument Short Name:Turner Fluorometer 10-AU Instrument Description: The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA). Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/
Deployment: nearshore_sampling_Fu
nearshore_sampling_Fu
Ventura_County_shore
shoreside
nearshore_sampling_Fu
Feixue Fu
University of Southern California
Deployment: lab_Fu
lab_Fu
USC
laboratory
lab_Fu
Feixue Fu
University of Southern California
Ventura_County_shore
shoreside