BCO-DMO BlogDataset: Inter-comparison 2016: SuperCO2 pCO2
Data Citation:
Shangguan, Q., DeGrandpre, M., Martz, T. R. (2022) 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. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-01 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.870401.1 [access date]
Terms of Use
This dataset is licensed under Creative Commons Attribution 4.0.
If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.
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:
1
Version Date:
2022-03-01
Restricted:
No
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).
©2024 Biological and Chemical Oceanography Data Management Office.
