Dataset: Inter-comparison 2016: SuperCO2 pCO2

Name: A pCO2 time series from a SuperCO2 benchtop instrument during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
Published: 2022-03-01
Keywords: oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.870401.1

Temporal Extent: 2016-08-16 - 2016-08-27

Project:

A new tool for ocean carbon cycle and ocean acidification studies (Bermuda Biochem Timeseries)

Principal Investigator:

Michael DeGrandpre (University of Montana)

Co-Principal Investigator:

Todd R. Martz (University of California-San Diego, UCSD-SIO)

Student:

Qipei Shangguan (University of Montana)

Contact:

Qipei Shangguan (University of Montana)

BCO-DMO Data Manager:

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2022-03-01

Restricted:

Validated:

Yes

Current State:

Final no updates expected

A pCO2 time series from a SuperCO2 benchtop instrument during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016

Abstract:

This dataset contains pCO2 time series recorded by a benchtop instrumentation, SuperCO2. Data was averaged to a 15-min interval. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022).

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Archival Copy

Version Date	Archive	Persistent Identifier (PID)	Date PID Issued
2022-03-01	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.870401.1	2022-03-11

Methods & Sampling

A benchtop instrumentation (Sunburst Sensors, LLC) measured for pCO2 every 4 second. Raw data was averaged to a 15-min interval as shown in the dataset.

Data Processing Description

Sensor data was processed by a custom written Matlab script. MATLAB scripts convert raw data, which are optical intensities or voltages along with temperature and salinity, into their respective carbonate parameters.

BCO-DMO Data Manager Processing Notes:
* Data from source file "2016 SuperCO2.xlsx" Sheet1 were imported into the BCO-DMO data system.
* Parameters (column names) renamed to comply with BCO-DMO naming conventions. See https://www.bco-dmo.org/page/bco-dmo-data-processing-conventions

Data Files

File
super_pco2.csv (Comma Separated Values (.csv), 25.82 KB) MD5:11a98ad1f977ecbe59ef71e3baa8548b Primary data file for dataset ID 870401

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1459255

Deployments

None available yet

Instruments

pCO2 Sensor

Supplied Name: SuperCO2

Supplied Description:

SuperCO2 benchtop instrumentation (Sunburst Sensors, LLC)

Instrument Type

Generic Name: pCO2 Sensor

Generic Description:

A sensor that measures the partial pressure of CO2 in water (pCO2)

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
time	Timestamp with time zone (UTC) in ISO 8601 format YYYY-MM-DDThh:mmZ Format: %Y-%m-%dT%H:%MZ	unitless	ISO_DateTime_UTC
Super_CO2	CO2 partial pressure from a benchtop instrument SuperCO2	microatmospheres (uatm)	pCO2

Status message

Database

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Dataset: Inter-comparison 2016: SuperCO2 pCO2