Chemical analysis from sediment core bottom water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (NCEI Accession 0291934)
This dataset contains chemical data collected in the North Atlantic Ocean from 2017-07-12 to 2017-07-21. These data include dissolved inorganic Carbon, dissolved organic Carbon, pH, sulfate, and total alkalinity. The instruments used to collect these data include Automatic titrator, Conductivity Meter, Ion Chromatograph, and Total Organic Carbon Analyzer. These data were collected by Dr David J. Burdige and Dr Richard C. Zimmerman of Old Dominion University and Dr Matthew Long of Woods Hole Oceanographic Institution as part of the "Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2 (Seagrass Blue Carbon)" project. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) submitted these data to NCEI on 2019-03-20.
The following is the text of the dataset description provided by BCO-DMO:
Eastern Shore bottom water analysis
Dataset Description:
This dataset includes results of analysis on sediment core bottom water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 - initial pH, alkalinity, sulfate, DIC, and DOC.
The following is the text of the dataset description provided by BCO-DMO:
Eastern Shore bottom water analysis
Dataset Description:
This dataset includes results of analysis on sediment core bottom water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 - initial pH, alkalinity, sulfate, DIC, and DOC.
Dataset Citation
- Cite as: Burdige, David J.; Long, Matthew H.; Zimmerman, Richard C. (2024). Chemical analysis from sediment core bottom water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (NCEI Accession 0291934). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0291934. Accessed [date].
Dataset Identifiers
ISO 19115-2 Metadata
gov.noaa.nodc:0291934
Download Data |
|
Distribution Formats |
|
Ordering Instructions | Contact NCEI for other distribution options and instructions. |
Distributor |
NOAA National Centers for Environmental Information +1-301-713-3277 NCEI.Info@noaa.gov |
Dataset Point of Contact |
NOAA National Centers for Environmental Information ncei.info@noaa.gov |
Time Period | 2017-07-12 to 2017-07-21 |
Spatial Bounding Box Coordinates |
West: -75.835
East: -75.798
South: 37.266
North: 37.344
|
Spatial Coverage Map |
General Documentation |
|
Associated Resources |
|
Publication Dates |
|
Data Presentation Form | Digital table - digital representation of facts or figures systematically displayed, especially in columns |
Dataset Progress Status | Complete - production of the data has been completed Historical archive - data has been stored in an offline storage facility |
Data Update Frequency | As needed |
Supplemental Information | Acquisition Description: 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.). 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). Sulfate was determined by ion chromatography and conductivity detection with a Thermo-Fisher Dionex ICS-5000 ion chromatograph. DOC was determined by high-temperature combustion using a Shimadzu TOC-V total carbon analyzer (Burdige and Komada, 2011; Komada et al. 2016). DIC was 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). |
Purpose | This dataset is available to the public for a wide variety of uses including scientific research and analysis. |
Use Limitations |
|
Dataset Citation |
|
Cited Authors | |
Principal Investigators | |
Contributors | |
Resource Providers | |
Points of Contact | |
Publishers | |
Acknowledgments |
Theme keywords |
NODC DATA TYPES THESAURUS
NODC OBSERVATION TYPES THESAURUS
WMO_CategoryCode
|
Data Center keywords | NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords |
Instrument keywords |
NODC INSTRUMENT TYPES THESAURUS
BCO-DMO Standard Instruments
Global Change Master Directory (GCMD) Instrument Keywords
|
Place keywords | NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords |
Project keywords |
BCO-DMO Standard Projects
Provider Funding Award Information
|
Keywords | NCEI ACCESSION NUMBER |
Use Constraints |
|
Data License | |
Access Constraints |
|
Fees |
|
Lineage information for: dataset | |
---|---|
Processing Steps |
|
Output Datasets |
|
Acquisition Information (collection) | |
---|---|
Instrument |
|
Last Modified: 2024-05-31T15:27:35Z
For questions about the information on this page, please email: ncei.info@noaa.gov
For questions about the information on this page, please email: ncei.info@noaa.gov