http://lod.bco-dmo.org/id/dataset/660050
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
2016-09-28
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Experimental data on growth rates of Pleurochrysis carterae analyzed at Bigelow Laboratory from 2013. (OA Copes Coccoliths project)
2016-09-28
publication
2016-09-28
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-04-24
publication
https://doi.org/10.1575/1912/bco-dmo.660050.1
William M. Balch
Bigelow Laboratory for Ocean Sciences
principalInvestigator
David Fields
Bigelow Laboratory for Ocean Sciences
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: Balch, W., Fields, D. (2016) Experimental data on growth rates of Pleurochrysis carterae analyzed at Bigelow Laboratory from 2013. (OA Copes Coccoliths project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2016-09-28 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.660050.1 [access date]
Experimental data on growth rates of Pleurochrysis carterae Dataset Description: <p>Experimental results describing the growth rate of&nbsp;<em>Pleurochrysis carterae&nbsp;</em>(NCMA strain 645). It was isolated from&nbsp;41.525 degrees North, 70.6736 degrees West (Woods Hole, Massachusetts USA), but has been maintained in culture since 1958.</p> Methods and Sampling: <p><strong>Cultures:&nbsp;</strong><em>Pleurochrysis</em>&nbsp;<em>carterae</em>&nbsp;cultures were maintained in exponential growth phase under axenic conditions in semi-continuous batch culture using L1-Si media prepared on 0.2 um-filtered, UV-sterilized, autoclaved seawater.&nbsp; Cultures were acclimated to one of three&nbsp;pCO2&nbsp;treatments for &gt; 9 generations before experiments were performed.&nbsp; Cultures were maintained in an incubator at 16.5 +/- 0.5 degrees C and 470 umol photons/m-2/s&nbsp;PAR on a 14-10 light-dark cycle.</p>
<p><strong>pCO2&nbsp;Treatments: </strong>Carbonate chemistry was manipulated by bubbling cultures and prepared media with 500 mL/min&nbsp;with 0.2 um-filtered 280, 380, or 750 ppm&nbsp;pCO2&nbsp;air.&nbsp; The&nbsp;pCO2&nbsp;levels of the treatment air were established using two mass flow controllers (Aalborg, Orangeburg, NY, USA) for each treatment to precisely mix in-house compressed air and pure CO2&nbsp;(Maine Oxy, Auburn, ME, USA).&nbsp; The in-house compressed air was stripped of CO2&nbsp;to less than 10 ppm CO2&nbsp;using a Puregas VCD CO2&nbsp;Adsorber (Puregas, LLC, Broomfield, CO, USA).&nbsp; The&nbsp;pCO2&nbsp;of the gas mixtures was stable to +/- 8 ppm.&nbsp;&nbsp;pCO2&nbsp;values of the cultures may be different than the target levels due to biological activity.</p>
<p><strong>Growth rate measurements:&nbsp;</strong> At the same time each day, the cell density of each&nbsp;pCO2&nbsp;treatment culture was measured in order to calculate the growth rate.&nbsp; The data analyzed represent three consecutive growth cycles.</p>
<p><strong>Cell density:&nbsp;</strong>Culture density was measured using a Moxi Z mini automated cell counter (ORFLO Technologies, Ketchum, ID, USA), which has a coefficient of variation of 4%.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1220068 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1220068
completed
William M. Balch
Bigelow Laboratory for Ocean Sciences
207-315-2567
60 Bigelow Drive
East Boothbay
ME
04544
USA
bbalch@bigelow.org
pointOfContact
David Fields
Bigelow Laboratory for Ocean Sciences
207-315-2567
60 Bigelow Dr.
East Boothbay
ME
04544
USA
dfields@bigelow.org
pointOfContact
asNeeded
Dataset Version: 1
Unknown
pCO2_treatment
day
growth_cycle
cell_density
ln_cellDensity
linest_slope
linest_intercept
growthRate
mean_growthRate
stdev_growthRate
Moxi Z Automated Cell Counter
Puregas VCD CO2 Adsorber
Aalborg Mass Flow Controller
theme
None, User defined
treatment
day of month
growth
cell_concentration
No BCO-DMO term
standard deviation
featureType
BCO-DMO Standard Parameters
Automated Cell Counter
CO2 Adsorber
Mass Flow Controller
instrument
BCO-DMO Standard Instruments
Balch_2013
service
Deployment Activity
Bigelow Laboratory
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.
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
Effects of ocean acidification on Emiliania huxleyi and Calanus finmarchicus; insights into the oceanic alkalinity and biological carbon pumps
https://osprey.bco-dmo.org/project/514415
Effects of ocean acidification on Emiliania huxleyi and Calanus finmarchicus; insights into the oceanic alkalinity and biological carbon pumps
<p><em>(Extracted from the NSF award abstract)</em></p>
<p>Ocean acidification is one of the most pressing marine science issues of our time, with potential biological impacts spanning all marine phyla and potential societal impacts affecting man's relationship to the sea. Rising levels of atmospheric pCO2 are increasing the acidity of the world oceans. It is generally held that average surface ocean pH has already declined by 0.1 pH units relative to the pre-industrial level (Orr et al., 2005), and is projected to decrease 0.3 to 0.46 units by the end of this century, depending on CO2 emission scenarios (Caldeira and Wickett, 2005). The overall goal of this research is to parameterize how changes in pCO2 levels could alter the biological and alkalinity pumps of the world ocean. Specifically, the direct and indirect effects of ocean acidification will be examined within a simple, controlled predator/prey system containing a single prey phytoplankton species (the coccolithophore, Emiliania huxleyi) and a single predator (the oceanic metazoan grazer, Calanus finmarchicus). The experiments are designed to elucidate both direct effects (i.e. effects of ocean acidification on the individual organisms only) and interactive effects (i.e. effects on the combined predator/prey system). Interactive experiments with phytoplankton prey and zooplankton predator are a critical starting point for predicting the overall impact of ocean acidification in marine ecosystems. To meet these goals, a state-of-the-art facility will be constructed with growth chambers that are calibrated and have highly-controlled pH and alkalinity levels. The strength of this approach lies in meticulous calibration and redundant measurements that will be made to ensure that conditions within the chambers are well described and tightly monitored for DIC levels. Growth and calcification rates in coccolithophores and the developmental rates, morphological and behavioral effects on copepods will be measured. The PIC and POC in the algae and the excreted fecal pellets will be monitored for changes in the PIC/POC ratio, a key parameter for modeling feedback mechanisms for rising pCO2 levels. In addition, 14C experiments are planned to measure calcification rates in coccolithophores and dissolution rates as a result of grazing. These key experiments will verify closure in the mass balance of PIC, allowing the determination of actual dissolution rates of PIC within the guts of copepod grazers.</p>
OA_Copes_Coccoliths
largerWorkCitation
project
eng; USA
oceans
Bigelow Laboratory
2013-01-01
2013-12-31
Laboratory experiments; East Boothbay, Maine
0
BCO-DMO catalogue of parameters from Experimental data on growth rates of Pleurochrysis carterae analyzed at Bigelow Laboratory from 2013. (OA Copes Coccoliths 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/660120.rdf
Name: pCO2_treatment
Units: ppm
Description: <p>The independent variable; one of three pCO2 levels (280 ppm, 380 ppm, or 750 ppm). These treatment levels are nominal values as they represent the target pCO2 for each treatment.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660121.rdf
Name: day
Units: unitless
Description: <p>The day the measurement was taken (since cultures were started).</p>
http://lod.bco-dmo.org/id/dataset-parameter/660122.rdf
Name: growth_cycle
Units: unitless
Description: <p>These data come from three consecutive growth cycles.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660123.rdf
Name: cell_density
Units: cell per milliliter cells/mL
Description: <p>Cell density of the culture as measured by the Moxi Z Automated Cell Counter.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660124.rdf
Name: ln_cellDensity
Units: ln(cells/mL)
Description: <p>The natural log of the cell density.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660125.rdf
Name: linest_slope
Units: (ln(cells/mL))/day
Description: <p>The slope resulting from the excel function LINEST which calculates the statistics for a line by using the 'least squares' method to calculate a straight line that best fits the data. One line is calculated for each growth cycle and the slope represents the growth rate of the algae during that growth cycle. In this case the line was calculated from ln(cell density) and day.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660126.rdf
Name: linest_intercept
Units: unitless
Description: <p>The intercept resulting from the excel function LINEST which calculates the statistics for a line by using the 'least squares' method to calculate a straight line that best fits the data. One line is calculated for each growth cycle.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660127.rdf
Name: growthRate
Units: u/day
Description: <p>The growth rate for the given growth cycle. This is the slope of the line fit to the ln(cell density) and day data. One growth rate is calculated for each growth cycle.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660128.rdf
Name: mean_growthRate
Units: u/day
Description: <p>The average growth rate from the three growth cycles.</p>
http://lod.bco-dmo.org/id/dataset-parameter/660129.rdf
Name: stdev_growthRate
Units: day-1
Description: <p>The standard deviation of the growth rates from the three growth cycles.</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
1360
https://darchive.mblwhoilibrary.org/bitstream/1912/24071/1/dataset-660050_growth-rate-pleurochrysis-carterae__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.660050.1
download
onLine
dataset
<p><strong>Cultures:&nbsp;</strong><em>Pleurochrysis</em>&nbsp;<em>carterae</em>&nbsp;cultures were maintained in exponential growth phase under axenic conditions in semi-continuous batch culture using L1-Si media prepared on 0.2 um-filtered, UV-sterilized, autoclaved seawater.&nbsp; Cultures were acclimated to one of three&nbsp;pCO2&nbsp;treatments for &gt; 9 generations before experiments were performed.&nbsp; Cultures were maintained in an incubator at 16.5 +/- 0.5 degrees C and 470 umol photons/m-2/s&nbsp;PAR on a 14-10 light-dark cycle.</p>
<p><strong>pCO2&nbsp;Treatments: </strong>Carbonate chemistry was manipulated by bubbling cultures and prepared media with 500 mL/min&nbsp;with 0.2 um-filtered 280, 380, or 750 ppm&nbsp;pCO2&nbsp;air.&nbsp; The&nbsp;pCO2&nbsp;levels of the treatment air were established using two mass flow controllers (Aalborg, Orangeburg, NY, USA) for each treatment to precisely mix in-house compressed air and pure CO2&nbsp;(Maine Oxy, Auburn, ME, USA).&nbsp; The in-house compressed air was stripped of CO2&nbsp;to less than 10 ppm CO2&nbsp;using a Puregas VCD CO2&nbsp;Adsorber (Puregas, LLC, Broomfield, CO, USA).&nbsp; The&nbsp;pCO2&nbsp;of the gas mixtures was stable to +/- 8 ppm.&nbsp;&nbsp;pCO2&nbsp;values of the cultures may be different than the target levels due to biological activity.</p>
<p><strong>Growth rate measurements:&nbsp;</strong> At the same time each day, the cell density of each&nbsp;pCO2&nbsp;treatment culture was measured in order to calculate the growth rate.&nbsp; The data analyzed represent three consecutive growth cycles.</p>
<p><strong>Cell density:&nbsp;</strong>Culture density was measured using a Moxi Z mini automated cell counter (ORFLO Technologies, Ketchum, ID, USA), which has a coefficient of variation of 4%.</p>
Specified by the Principal Investigator(s)
<p><strong>Growth Rate:&nbsp; </strong>Growth rate (u) with units d-1&nbsp;(per day) was calculated using the Excel function LINEST, which calculates the statistics for a line by using the ‘least squares’ method to calculate a straight line that best fits the data. &nbsp;</p>
<p>The equation for the line is:&nbsp; y =&nbsp;mx&nbsp;+ b. &nbsp; &nbsp;</p>
<p>The syntax is:&nbsp; LINEST(known_y’s, [known_x’s], [const], [stats])</p>
<p>In this case, the ‘known_y’s’ were the ln(cell density); the ‘known_x’s’ were the days of the growth cycle; [const] was set to ‘TRUE’ which calculates the intercept (b) instead of forcing it to zero; and [stats] was set to ‘TRUE’ in order to return the regression statistics of the line.</p>
<p>The slope of the line represents the growth rate for the given growth cycle and is analogous to using the standard growth rate equation, except that it incorporates all data points during the growth cycle, not simply the first (0) and last (n) data points.</p>
<p><strong>DMO notes:</strong><br />
- added underscores and removed spaces and units from column names<br />
- changed column names to comply with BCO-DMO standards.<br />
- replaced all "na" with "nd"</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
Moxi Z Automated Cell Counter
Moxi Z Automated Cell Counter
PI Supplied Instrument Name: Moxi Z Automated Cell Counter PI Supplied Instrument Description:Measures culture density Instrument Name: Automated Cell Counter Instrument Short Name:ACC Instrument Description: An instrument that determines the numbers, types or viability of cells present in a sample.
Puregas VCD CO2 Adsorber
Puregas VCD CO2 Adsorber
PI Supplied Instrument Name: Puregas VCD CO2 Adsorber PI Supplied Instrument Description:Instrument stripped compressed air of CO2 Instrument Name: CO2 Adsorber Instrument Short Name:CO2 Adsorber Instrument Description: CO2 Adsorber - an instrument designed to remove CO2 and moisture from compressed air.
Aalborg Mass Flow Controller
Aalborg Mass Flow Controller
PI Supplied Instrument Name: Aalborg Mass Flow Controller PI Supplied Instrument Description:Indicate and control set flow rates of gases. Manufactured in Orangeburg, NY USA. Instrument Name: Mass Flow Controller Instrument Short Name:MFC Instrument Description: Mass Flow Controller (MFC) - A device used to measure and control the flow of fluids and gases
Deployment: Balch_2013
Balch_2013
lab Bigelow
laboratory
Balch_2013
William M. Balch
Bigelow Laboratory for Ocean Sciences
lab Bigelow
laboratory