http://lod.bco-dmo.org/id/dataset/745865
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
2018-09-11
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Chemical analysis from sediment core pore water samples collected in the northern Gulf of Mexico, May 2017
2018-10-15
publication
2018-10-15
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-03-20
publication
https://doi.org/10.1575/1912/bco-dmo.745865.1
David J. Burdige
Old Dominion University
principalInvestigator
Matthew H. Long
Woods Hole Oceanographic Institution
principalInvestigator
Richard C. Zimmerman
Old Dominion University
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: Burdige, D., Long, M., Zimmerman, R. (2018) Chemical analysis from sediment core pore water samples collected in the northern Gulf of Mexico, May 2017. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-10-15 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.745865.1 [access date]
GoM pore water analysis Dataset Description: <p>This dataset includes results of analysis on sediment cores collected from the northern Gulf of Mexico in May 2017 -&nbsp;initial pH, alkalinity, sulfate, DIC, Fe, NH4, sulfide, and DOC.</p> Methods and Sampling: <p>Sediment cores were collected by divers, sealed in the field with rubber stoppers and returned to the lab for processing. Pore waters were collected by inserting rhizon samplers (Seeberg-Elverfeldt et al., 2005) through pre-drilled holes in the core tubes. Samples were collected in gas-tight glass syringes and filtered through 0.45 µm nylon filters into storage vials. Alkalinity samples were titrated within 12hr of collection; other samples were returned to the lab for analysis, using techniques routinely used in my lab: alkalinity and initial pH - Hu and Burdige (2008); sulfate, DIC, ammonium and DOC - Burdige and Komada (2011), Komada et al. (2016); sulfide - Cline (1969), Abdulla et al. (in prep.).</p>
<p>Alkalinity and initial pH were determined by Gran Titration using a Metrohm automatic titrator (model 785 DMP Titrino) combined with a Cole-Parmer pH electrode, calibrated using pH 4.00, 7.00 and 10.00 NIST-traceable buffers (Hu and Burdige, 2008).&nbsp; Sulfate was determined by ion chromatography and conductivity detection with a Thermo-Fisher Dionex ICS-5000 ion chromatograph, while DOC was determined by high temperature combustion using a Shimadzu TOC-V total carbon analyzer (Burdige and Komada, 2011; Komada et al. 2016).&nbsp; Ammonium and DIC were determined by FIA analysis using a home-built system consisting of a Rainin Rabbit peristaltic pump and a Dionex CDM-II conductivity detector (Hall and Aller, 1992; Lustwerk and Burdige, 1995).&nbsp; Total dissolved sulfide was determined spectrophotometrically with an Ocean Optics USB400 UV-Vis spectrophotometer (Cline, 1969; Abdulla et al., in prep.); Total dissolved iron was also determined spectrophotometrically by the ferrozine method using the same spectrophotometer&nbsp; (Viollier et al., 2000).</p>
<p>Note:&nbsp;"ns" stands for "samples not collected for this analysis".</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1635403
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1633951 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1633951
completed
David J. Burdige
Old Dominion University
757-683-4930
Dept. of Ocean, Earth and Atmospheric Sciences
Norfolk
VA
23529
USA
dburdige@odu.edu
pointOfContact
Matthew H. Long
Woods Hole Oceanographic Institution
508-289-2798
Department of Marine Chemistry and Geochemistry MS #25, 266 Woods Hole Rd.
Woods Hole
MA
02543
USA
mlong@whoi.edu
pointOfContact
Richard C. Zimmerman
Old Dominion University
757-683-5991
Department of Ocean, Earth and Atmospheric Sciences Old Dominion University
Norfolk
VA
23529
USA
rzimmerm@odu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
site
Core
Depth_cm
Initial_pH
Alkalinity_mM
Sulfate_mM
Sulfate_stdev
DIC_mM
Fe_uM
NH4_uM
Sulfide_uM
DOC_uM
lat
lon
Dionex CDM-II conductivity detector
Thermo-Fisher Dionex ICS-5000 ion chromatograph
Ocean Optics USB400 UV-Vis spectrophotometer
Metrohm automatic titrator (model 785 DMP Titrino)
Shimadzu TOC-V total carbon analyzer
theme
None, User defined
site
core id
depth core
pH
total alkalinity (TA)
sulfate
dissolved inorganic Carbon
Iron
Ammonium
sulfide
dissolved organic Carbon
latitude
longitude
featureType
BCO-DMO Standard Parameters
Conductivity Meter
Ion Chromatograph
Spectrophotometer
Titrator
Total Organic Carbon Analyzer
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.
Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2
https://osprey.bco-dmo.org/project/648649
Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2
<p>NSF abstract:</p>
<p>This research will develop a quantitative understanding of the factors controlling carbon cycling in seagrass meadows that will improve our ability to quantify their potential as blue carbon sinks and predict their future response to climate change, including sea level rise, ocean warming and ocean acidification. This project will advance a new generation of bio-optical-geochemical models and tools (ECHOES) that have the potential to be transform our ability to measure and predict carbon dynamics in shallow water systems.</p>
<p>This study will utilize cutting-edge methods for evaluating oxygen and carbon exchange (Eulerian and eddy covariance techniques) combined with biomass, sedimentary, and water column measurements to develop and test numerical models that can be scaled up to quantify the dynamics of carbon cycling and sequestration in seagrass meadows in temperate and tropical environments of the West Atlantic continental margin that encompass both siliciclastic and carbonate sediments. The comparative analysis across latitudinal and geochemical gradients will address the relative contributions of different species and geochemical processes to better constrain the role of seagrass carbon sequestration to global biogeochemical cycles. Specifically the research will quantify: (i) the relationship between C stocks and standing biomass for different species with different life histories and structural complexity, (ii) the influence of above- and below-ground metabolism on carbon exchange, and (iii) the influence of sediment type (siliciclastic vs. carbonate) on Blue Carbon storage. Seagrass biomass, growth rates, carbon content and isotope composition (above- and below-ground), organic carbon deposition and export will be measured. Sedimentation rates and isotopic composition of PIC, POC, and iron sulfide precipitates, as well as porewater concentrations of dissolved sulfide, CO2, alkalinity and salinity will be determined in order to develop a bio-optical-geochemical model that will predict the impact of seagrass metabolism on sediment geochemical processes that control carbon cycling in shallow waters. Model predictions will be validated against direct measurements of DIC and O2 exchange in seagrass meadows, enabling us to scale-up the density-dependent processes to predict the impacts of seagrass distribution and density on carbon cycling and sequestration across the submarine landscape.</p>
<p>Status, as of 09 June 2016: This project has been recommended for funding by NSF's Division of Ocean Sciences.</p>
Seagrass Blue Carbon
largerWorkCitation
project
eng; USA
oceans
-84.552
-84.456
29.853
29.907
2017-07-11
2017-07-20
Chesapeake Bay, Northern Gulf of Mexico, and Bahamas Banks
0
BCO-DMO catalogue of parameters from Chemical analysis from sediment core pore water samples collected in the northern Gulf of Mexico, May 2017
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/745889.rdf
Name: site
Units: unitless
Description: <p>sample collection site identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/745890.rdf
Name: Core
Units: unitless
Description: <p>core number</p>
http://lod.bco-dmo.org/id/dataset-parameter/745891.rdf
Name: Depth_cm
Units: centimeters
Description: <p>depth in the core (relative to the sediment surface)</p>
http://lod.bco-dmo.org/id/dataset-parameter/745892.rdf
Name: Initial_pH
Units: NBS scale
Description: <p>initial pH determined during alkalinity titrations</p>
http://lod.bco-dmo.org/id/dataset-parameter/745893.rdf
Name: Alkalinity_mM
Units: milliMoles
Description: <p>pore water alkalinity</p>
http://lod.bco-dmo.org/id/dataset-parameter/745894.rdf
Name: Sulfate_mM
Units: milliMoles
Description: <p>pore water sulfate</p>
http://lod.bco-dmo.org/id/dataset-parameter/745895.rdf
Name: Sulfate_stdev
Units: milliMoles
Description: <p>standard deviation of sulfate concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/745896.rdf
Name: DIC_mM
Units: milliMoles
Description: <p>pore water dissolved inorganic carbon</p>
http://lod.bco-dmo.org/id/dataset-parameter/745897.rdf
Name: Fe_uM
Units: microMoles
Description: <p>pore water dissolved iron</p>
http://lod.bco-dmo.org/id/dataset-parameter/745898.rdf
Name: NH4_uM
Units: microMoles
Description: <p>pore water dissolved ammonium</p>
http://lod.bco-dmo.org/id/dataset-parameter/745899.rdf
Name: Sulfide_uM
Units: microMoles
Description: <p>pore water total dissolved sulfide</p>
http://lod.bco-dmo.org/id/dataset-parameter/745900.rdf
Name: DOC_uM
Units: microMoles
Description: <p>pore water dissolved organic carbon</p>
http://lod.bco-dmo.org/id/dataset-parameter/745928.rdf
Name: lat
Units: decimal degrees
Description: <p>latitude; north is positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/745929.rdf
Name: lon
Units: decimal degrees
Description: <p>longitude; east is positive</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
10531
https://darchive.mblwhoilibrary.org/bitstream/1912/23890/1/dataset-745865_gulf-mexico-pore-water-analysis__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.745865.1
download
onLine
dataset
<p>Sediment cores were collected by divers, sealed in the field with rubber stoppers and returned to the lab for processing. Pore waters were collected by inserting rhizon samplers (Seeberg-Elverfeldt et al., 2005) through pre-drilled holes in the core tubes. Samples were collected in gas-tight glass syringes and filtered through 0.45 µm nylon filters into storage vials. Alkalinity samples were titrated within 12hr of collection; other samples were returned to the lab for analysis, using techniques routinely used in my lab: alkalinity and initial pH - Hu and Burdige (2008); sulfate, DIC, ammonium and DOC - Burdige and Komada (2011), Komada et al. (2016); sulfide - Cline (1969), Abdulla et al. (in prep.).</p>
<p>Alkalinity and initial pH were determined by Gran Titration using a Metrohm automatic titrator (model 785 DMP Titrino) combined with a Cole-Parmer pH electrode, calibrated using pH 4.00, 7.00 and 10.00 NIST-traceable buffers (Hu and Burdige, 2008).&nbsp; Sulfate was determined by ion chromatography and conductivity detection with a Thermo-Fisher Dionex ICS-5000 ion chromatograph, while DOC was determined by high temperature combustion using a Shimadzu TOC-V total carbon analyzer (Burdige and Komada, 2011; Komada et al. 2016).&nbsp; Ammonium and DIC were determined by FIA analysis using a home-built system consisting of a Rainin Rabbit peristaltic pump and a Dionex CDM-II conductivity detector (Hall and Aller, 1992; Lustwerk and Burdige, 1995).&nbsp; Total dissolved sulfide was determined spectrophotometrically with an Ocean Optics USB400 UV-Vis spectrophotometer (Cline, 1969; Abdulla et al., in prep.); Total dissolved iron was also determined spectrophotometrically by the ferrozine method using the same spectrophotometer&nbsp; (Viollier et al., 2000).</p>
<p>Note:&nbsp;"ns" stands for "samples not collected for this analysis".</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 />
- added columns for site, lat, and lon<br />
-&nbsp;changed Spidercrab Bay core id's from SC* to SP*</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
Dionex CDM-II conductivity detector
Dionex CDM-II conductivity detector
PI Supplied Instrument Name: Dionex CDM-II conductivity detector PI Supplied Instrument Description:Used to measure ammonium and dissolved inorganic carbon. Instrument Name: Conductivity Meter Instrument Short Name:Conductivity Meter Instrument Description: Conductivity Meter - An electrical conductivity meter (EC meter) measures the electrical conductivity in a solution. Commonly used in hydroponics, aquaculture and freshwater systems to monitor the amount of nutrients, salts or impurities in the water.
Thermo-Fisher Dionex ICS-5000 ion chromatograph
Thermo-Fisher Dionex ICS-5000 ion chromatograph
PI Supplied Instrument Name: Thermo-Fisher Dionex ICS-5000 ion chromatograph PI Supplied Instrument Description:Used to measure sulfate. Instrument Name: Ion Chromatograph Instrument Short Name:Ion Chromatograph Instrument Description: Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. (from http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic.html)
Ocean Optics USB400 UV-Vis spectrophotometer
Ocean Optics USB400 UV-Vis spectrophotometer
PI Supplied Instrument Name: Ocean Optics USB400 UV-Vis spectrophotometer PI Supplied Instrument Description:Used to measure total dissolved sulfide and total dissolved iron. Instrument Name: Spectrophotometer Instrument Short Name:Spectrophotometer Instrument Description: An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/
Metrohm automatic titrator (model 785 DMP Titrino)
Metrohm automatic titrator (model 785 DMP Titrino)
PI Supplied Instrument Name: Metrohm automatic titrator (model 785 DMP Titrino) PI Supplied Instrument Description:Used to measure alkalinity and initial pH. 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 TOC-V total carbon analyzer
Shimadzu TOC-V total carbon analyzer
PI Supplied Instrument Name: Shimadzu TOC-V total carbon analyzer PI Supplied Instrument Description:Used to measure dissolved organic carbon. Instrument Name: Total Organic Carbon Analyzer Instrument Short Name:TOC analyzer Instrument Description: A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/