http://lod.bco-dmo.org/id/dataset/745816
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
2018-09-10
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Sediment core sample metadata collected July 2017 in the back barrier island bays on Virginia’s Eastern Shore
2018-09-06
publication
2018-09-06
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-03-20
publication
https://doi.org/10.1575/1912/bco-dmo.745816.1
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: Zimmerman, R. (2018) Sediment core sample metadata collected July 2017 in the back barrier island bays on Virginia’s Eastern Shore. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-09-06 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.745816.1 [access date]
Eastern Shore, VA core metadata Dataset Description: <p>This dataset includes metadata on sediment cores collected during July 2017 in the back barrier island bays on Virginia’s Eastern Shore - location, date and time of sample collection and processing, and which analyses were performed on each core.</p> Methods and Sampling: <p>Sediment cores were collected by divers, sealed in the filed 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.&nbsp; Samples were collected in gas-tight glass syringes and filtered through 0.45 µm nylon filters into storage vials.&nbsp; Alkalinity samples were titrated within 12hr of collection; other samples were returned to the lab for analysis, using techniques routinely used in my lab.</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>Oxygen profiles in the cores were collected with polarographic microelectrodes (Luther et al., 2008) using a DLK 70 WebPstat electrochemical analyzer (AIS, Inc.) and a computer-controlled micro-profiler.</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: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=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
lat
lon
core
date_processed
PW
Ox
phi
Pb210
sol
Shimadzu TOC-V total carbon analyzer
Thermo-Fisher Dionex ICS-5000 ion chromatograph
Metrohm automatic titrator (model 785 DMP Titrino)
Ocean Optics USB400 UV-Vis spectrophotometer
Dionex CDM-II conductivity detector
theme
None, User defined
site
latitude
longitude
core id
date_local
flag
featureType
BCO-DMO Standard Parameters
Total Organic Carbon Analyzer
Ion Chromatograph
Automatic titrator
Spectrophotometer
Conductivity Meter
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://www.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
-75.835
-75.798
37.266
37.344
2017-07-12
2017-07-21
Chesapeake Bay, Northern Gulf of Mexico, and Bahamas Banks
0
BCO-DMO catalogue of parameters from Sediment core sample metadata collected July 2017 in the back barrier island bays on Virginia’s Eastern Shore
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/745825.rdf
Name: site
Units: unitless
Description: sample collection site identifier
http://lod.bco-dmo.org/id/dataset-parameter/745826.rdf
Name: lat
Units: decimal degrees
Description: latitude; north is positive
http://lod.bco-dmo.org/id/dataset-parameter/745827.rdf
Name: lon
Units: decimal degrees
Description: longitude; east is positive
http://lod.bco-dmo.org/id/dataset-parameter/745828.rdf
Name: core
Units: unitless
Description: core designator
http://lod.bco-dmo.org/id/dataset-parameter/745830.rdf
Name: date_processed
Units: unitless
Description: local date and time processed formatted as YYYY-MM-DDTHH:MM:SS (ISO 8601:2004E )
http://lod.bco-dmo.org/id/dataset-parameter/745831.rdf
Name: PW
Units: unitless
Description: pore water collection and analysis (alkalinity; pH; sulfate; DIC; DOC sulfide; ammonium; Fe) was performed
http://lod.bco-dmo.org/id/dataset-parameter/745832.rdf
Name: Ox
Units: unitless
Description: polarographic O2 microsensor analysis was performed
http://lod.bco-dmo.org/id/dataset-parameter/745833.rdf
Name: phi
Units: unitless
Description: sediment porosity was measured
http://lod.bco-dmo.org/id/dataset-parameter/745834.rdf
Name: Pb210
Units: unitless
Description: 210Pb analyses were performed
http://lod.bco-dmo.org/id/dataset-parameter/745835.rdf
Name: sol
Units: unitless
Description: solids were frozen from later analysis (TOC; Fe speciation; etc.)
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
1233
https://darchive.mblwhoilibrary.org/bitstream/1912/23891/1/dataset-745816_eastern-shore-sediment-core-metadata__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.745816.1
download
onLine
dataset
<p>Sediment cores were collected by divers, sealed in the filed 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.&nbsp; Samples were collected in gas-tight glass syringes and filtered through 0.45 µm nylon filters into storage vials.&nbsp; Alkalinity samples were titrated within 12hr of collection; other samples were returned to the lab for analysis, using techniques routinely used in my lab.</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>Oxygen profiles in the cores were collected with polarographic microelectrodes (Luther et al., 2008) using a DLK 70 WebPstat electrochemical analyzer (AIS, Inc.) and a computer-controlled micro-profiler.</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 />
- reformatted collection date and time from m/d/yyyy H:MM to YYYY-MM-DDTHH:MM:SS (ISO 8601:2004€ )<br />
- replaced empty cell with - to distinguish them from x (all cells must be non-empty in our current system</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
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/
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)
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: Automatic titrator Instrument Short Name:Automatic titrator Instrument Description: 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/
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/
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.