http://lod.bco-dmo.org/id/dataset/732464
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
2018-03-28
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Carbonate chemistry over a time course with Ulva in pH drift experiments (Seaweed OA Resilience project)
2018-03-22
publication
2018-03-22
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-06-03
publication
https://doi.org/10.1575/1912/bco-dmo.732464.1
Janet E. Kubler
California State University Northridge
principalInvestigator
Steve Dudgeon
California State University Northridge
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: Kubler, J., Dudgeon, S. (2018) Carbonate chemistry over a time course with Ulva in pH drift experiments (Seaweed OA Resilience project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-03-22 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.732464.1 [access date]
Carbonate Chemistry over a time course with Ulva in pH drift experiments Dataset Description: <p>Seawater samples were collected from a pH drift experiment with Ulva lactuca to test the mechanism of carbon acquisition by the alga and the effect on carbonate chemistry parameters reported in these datasets. This dataset reports the pH, dissolved inorganic carbon (DIC), carbon diaoxide (CO2), bicarbonate and carbonate concentrations of seawater at initial and 24 hour times from pH drift experiment that used Ulva lactuca grown in closed culture pots at varying pCO2 levels.</p>
<p><strong>Related Datasets:</strong><br />
<a href="https://www.bco-dmo.org/dataset/732177">Ulva: Carbonate chemistry pCO2</a>: Carbonate chemistry of Ulva lactuca culture pots testing the effects of pCO2 variability (Seaweed OA Resilience project)<br />
<a href="https://www.bco-dmo.org/dataset/732438">Ulva: Chl a</a>: Chlorophyll a per unit biomass in Ulva lactuca under ocean acidification (OA) conditions (Seaweed OA Resilience project)<br />
<a href="https://www.bco-dmo.org/dataset/732564">Ulva: CHN and stable isotopes</a>: Stable isotope ratios and mass of carbon and nitrogen in Ulva cells under ocean acidification conditions (Seaweed OA Resilience project)<br />
<a href="https://www.bco-dmo.org/dataset/732600">Ulva: Growth</a>: Growth rates of Ulva exposed to different average and variability of pCO2 (Seaweed OA Resilience project)<br />
<a href="https://www.bco-dmo.org/dataset/732493">Ulva: pH and temperature time-series</a>: Time-series at 10 minute sampling interval of pH and temperature in Ulva culture pots (Seaweed OA Resilience project)<br />
<a href="https://www.bco-dmo.org/dataset/732625">Ulva: Photosynthesis and respiration</a>: Rates of photosynthesis and respiration by Ulva exposed to different average and variability of pCO2 (Seaweed OA Resilience project)<br />
<a href="https://www.bco-dmo.org/dataset/732587">Ulva: seawater delta13C</a>: Stable isotope ratio and concentration of carbon in seawater from Ulva OA experiments (Seaweed OA Resilience project)</p> Methods and Sampling: <p>Samples were collected at 0 (initial) and 24 hours and parameters of carbonate chemistry were measured (DIC,CO2, HCO3,CO3-described below). pH drift assay experiments consisted of 2 independent variables; inhibitor treatment and algal presence, with 4 and 2 levels, respectively for each independent variable. The inhibitor treatments included: seawater only (control), Acetazolamide (A), 4,4’-Diisothiocyano-2,2’-stilbenedisulfonic acid (DIDS), and Ethoxyzolamide (E). Algae were either present or absent (control) in a vial. Two replicate water samples were collected from each of 10 experimental culture pots of algae grown for 3 weeks at different combinations of average and standard deviations of pCO2 level during each of 3 experimental trials and assayed after 24 hours with or without the presence of Ulva and combinations of inhibitor treatments. In addition, 3 different levels of pCO2 in seawater generated independently of the seawater in algal culture that represented the range of pCO2 levels assayed across the entire experiment were assayed over the same 24 hour period.</p>
<p>Carbonate chemistry parameters were measured by sampling pH and total alkalinity (TA) of water samples. pH was determined using the m-cresol indicator dye method in a spectrophotometer (Dickson et al. 2007). TA samples were analyzed by potentiometric titration coupled to a pH electrode calibrated using certified reference material (CRM) from the Dickson laboratory at Scripps Oceanographic Institute and the pH electrode calibrated using TRIS buffer (Dickson et al. 2007). TA and carbonate parameters were calculated from potentiometric titration data and spectrophotometric pH data.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1316198 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1316198
completed
Janet E. Kubler
California State University Northridge
(818) 677-7322
Dept. of Biology, CSU-Northridge 18111 Nordhoff Street
Northridge
CA
91330-8303
USA
janet.kubler@csun.edu
pointOfContact
Steve Dudgeon
California State University Northridge
(818) 677-7322
Dept. of Biology, CSU-Northridge 18111 Nordhoff Street
Northridge
CA
91330-8303
USA
steve.dudgeon@csun.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Label
pCO2_avg
pCO2_sd
Sal_in
Temp_in
ALK
pH_t0
pH_t24
DIC_t0
DIC_t24
CO2_t0
CO2_t24
HCO3_t0
HCO3_t24
CO3_t0
CO3_t24
Temperature control chiller: Aqua Logic Cyclone Chiller
Qubit Systems Mass Flow Controllers (MFC)
Thermo Fisher Orion Star 329 pH, temperature and dissolved oxygen meter
Mettler Toledo T50 equipped with Rondolino
Shimadzu UV-2450 UV-visible spectrophotometer
theme
None, User defined
sample identification
Partial pressure of CO2
salinity
water temperature at measurement depth
total alkalinity (TA)
pH
dissolved inorganic Carbon
total Carbon Dioxide in seawater
bicarbonate concentration [HCO3]-
Carbonate concentration [CO3]2-
featureType
BCO-DMO Standard Parameters
Aquarium chiller
Mass Flow Controller
Multi Parameter Bench Meter
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.
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 Acidification: Scope for Resilience to Ocean Acidification in Macroalgae
https://osprey.bco-dmo.org/project/2275
Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae
<p>Benthic macroalgae contribute to intensely productive near shore ecosystems and little is known about the potential effects of ocean acidification on non-calcifying macroalgae. Kübler and Dudgeon will test hypotheses about two macroalgae, <em>Ulva</em> spp. and <em>Plocamium cartilagineum</em>, which, for different reasons, are hypothesized to be more productive and undergo ecological expansions under predicted changes in ocean chemistry. They have designed laboratory culture-based experiments to quantify the scope for response to ocean acidification in <em>Plocamium</em>, which relies solely on diffusive uptake of CO2, and populations of<em> Ulva</em> spp., which have an inducible concentrating mechanism (CCM). The investigators will culture these algae in media equilibrated at 8 different pCO2 levels ranging from 380 to 940 ppm to address three key hypotheses. The first is that macroalgae (such as Plocamium cartilagineum) that are not able to acquire inorganic carbon in changed form will benefit, in terms of photosynthetic and growth rates, from ocean acidification. There is little existing data to support this common assumption. The second hypothesis is that enhanced growth of Ulva sp. under OA will result from the energetic savings from down regulating the CCM, rather than from enhanced photosynthesis per se. Their approach will detect existing genetic variation for adaptive plasticity. The third key hypothesis to be addressed in short-term culture experiments is that there will be a significant interaction between ocean acidification and nitrogen limited growth of<em> Ulva</em> spp., which are indicator species of eutrophication. Kübler and Dudgeon will be able to quantify the individual effects of ocean acidification and nitrogenous nutrient addition on <em>Ulva</em> spp. and also, the synergistic effects, which will inevitably apply in many highly productive, shallow coastal areas. The three hypotheses being addressed have been broadly identified as urgent needs in our growing understanding of the impacts of ocean acidification.</p>
Seaweed OA Resilience
largerWorkCitation
project
eng; USA
biota
oceans
-119
-118
33
34
2015-05-11
2015-07-27
Temperate coastal waters of the USA (30 - 45 N latitude, -66 to -88 W and -117 to -125 W longitude)
0
BCO-DMO catalogue of parameters from Carbonate chemistry over a time course with Ulva in pH drift experiments (Seaweed OA Resilience 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/732476.rdf
Name: Label
Units: unitless
Description: <p>Trial number-pot number.frozen tissue replicate</p>
http://lod.bco-dmo.org/id/dataset-parameter/732477.rdf
Name: pCO2_avg
Units: microatmospheres (µatm)
Description: <p>Average pCO2 partial pressure in seawater tanks</p>
http://lod.bco-dmo.org/id/dataset-parameter/732478.rdf
Name: pCO2_sd
Units: microatmospheres (µatm)
Description: <p>Variability of pCO2 partial pressure - standard deviation</p>
http://lod.bco-dmo.org/id/dataset-parameter/732479.rdf
Name: Sal_in
Units: parts per thousand (ppt)
Description: <p>Salinity in situ</p>
http://lod.bco-dmo.org/id/dataset-parameter/732480.rdf
Name: Temp_in
Units: degrees Celsius
Description: <p>Temperature in situ</p>
http://lod.bco-dmo.org/id/dataset-parameter/732481.rdf
Name: ALK
Units: micromoles/kilogram
Description: <p>Total Alkalinity measured</p>
http://lod.bco-dmo.org/id/dataset-parameter/732482.rdf
Name: pH_t0
Units: unitless
Description: <p>initial pH of vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/732483.rdf
Name: pH_t24
Units: unitless
Description: <p>pH of vial after 24 hours</p>
http://lod.bco-dmo.org/id/dataset-parameter/732484.rdf
Name: DIC_t0
Units: micromoles/kilogram (µmol/kg)
Description: <p>initial dissolved inorganic carbon in vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/732485.rdf
Name: DIC_t24
Units: micromoles/kilogram (µmol/kg)
Description: <p>Dissolved inorganic carbon after 24 hours</p>
http://lod.bco-dmo.org/id/dataset-parameter/732486.rdf
Name: CO2_t0
Units: micromoles/kilogram (µmol/kg)
Description: <p>Initial value of CO2 in vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/732487.rdf
Name: CO2_t24
Units: micromoles/kilogram (µmol/kg)
Description: <p>CO2 in vial after 24 hours</p>
http://lod.bco-dmo.org/id/dataset-parameter/732488.rdf
Name: HCO3_t0
Units: micromoles/kilogram (µmol/kg)
Description: <p>Initial bicarbonate in vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/732489.rdf
Name: HCO3_t24
Units: micromoles/kilogram (µmol/kg)
Description: <p>Bicarbonate in vial after 24 hours</p>
http://lod.bco-dmo.org/id/dataset-parameter/732490.rdf
Name: CO3_t0
Units: micromoles/kilogram (µmol/kg)
Description: <p>Initial carbonate in vial</p>
http://lod.bco-dmo.org/id/dataset-parameter/732491.rdf
Name: CO3_t24
Units: micromoles/kilogram (µmol/kg)
Description: <p>Carbonate in vial after 24 hours</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
45702
https://darchive.mblwhoilibrary.org/bitstream/1912/24185/1/dataset-732464_ulva-ph-drift__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.732464.1
download
onLine
dataset
<p>Samples were collected at 0 (initial) and 24 hours and parameters of carbonate chemistry were measured (DIC,CO2, HCO3,CO3-described below). pH drift assay experiments consisted of 2 independent variables; inhibitor treatment and algal presence, with 4 and 2 levels, respectively for each independent variable. The inhibitor treatments included: seawater only (control), Acetazolamide (A), 4,4’-Diisothiocyano-2,2’-stilbenedisulfonic acid (DIDS), and Ethoxyzolamide (E). Algae were either present or absent (control) in a vial. Two replicate water samples were collected from each of 10 experimental culture pots of algae grown for 3 weeks at different combinations of average and standard deviations of pCO2 level during each of 3 experimental trials and assayed after 24 hours with or without the presence of Ulva and combinations of inhibitor treatments. In addition, 3 different levels of pCO2 in seawater generated independently of the seawater in algal culture that represented the range of pCO2 levels assayed across the entire experiment were assayed over the same 24 hour period.</p>
<p>Carbonate chemistry parameters were measured by sampling pH and total alkalinity (TA) of water samples. pH was determined using the m-cresol indicator dye method in a spectrophotometer (Dickson et al. 2007). TA samples were analyzed by potentiometric titration coupled to a pH electrode calibrated using certified reference material (CRM) from the Dickson laboratory at Scripps Oceanographic Institute and the pH electrode calibrated using TRIS buffer (Dickson et al. 2007). TA and carbonate parameters were calculated from potentiometric titration data and spectrophotometric pH data.</p>
Specified by the Principal Investigator(s)
- added a conventional header with dataset name and description, PI names, version date
- modified parameter names to conform with BCO-DMO naming conventions
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Temperature control chiller: Aqua Logic Cyclone Chiller
Temperature control chiller: Aqua Logic Cyclone Chiller
PI Supplied Instrument Name: Temperature control chiller: Aqua Logic Cyclone Chiller Instrument Name: Aquarium chiller Instrument Short Name:Aquarium chiller Instrument Description: Immersible or in-line liquid cooling device, usually with temperature control.
Qubit Systems Mass Flow Controllers (MFC)
Qubit Systems Mass Flow Controllers (MFC)
PI Supplied Instrument Name: Qubit Systems Mass Flow Controllers (MFC) PI Supplied Instrument Description:Settings: Nitrogen, 1 L/min; Oxygen, 250 ml/min; CO2, 2 ml/min. 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
Thermo Fisher Orion Star 329 pH, temperature and dissolved oxygen meter
Thermo Fisher Orion Star 329 pH, temperature and dissolved oxygen meter
PI Supplied Instrument Name: Thermo Fisher Orion Star 329 pH, temperature and dissolved oxygen meter PI Supplied Instrument Description:Used to measure salinity and temperature Instrument Name: Multi Parameter Bench Meter Instrument Short Name:Multi Parameter Bench Meter Instrument Description: An analytical instrument that can measure multiple parameters, such as pH, EC, TDS, DO and Temperature with one device.
Mettler Toledo T50 equipped with Rondolino
Mettler Toledo T50 equipped with Rondolino
PI Supplied Instrument Name: Mettler Toledo T50 equipped with Rondolino PI Supplied Instrument Description:Used to measure total alkalinity. 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-2450 UV-visible spectrophotometer
Shimadzu UV-2450 UV-visible spectrophotometer
PI Supplied Instrument Name: Shimadzu UV-2450 UV-visible spectrophotometer PI Supplied Instrument Description:Used to measure pH in total scale at 25C. 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/