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A biological ocean data reformatting effort.

Kimberlee Baldry1, Robert Johnson2, Peter G Strutton3,4,5

  • 1Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia. kimberlee.baldry@ga.gov.au.

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|February 16, 2024
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Summary
This summary is machine-generated.

A new BIOlogical ocean data reforMATting Effort (BIO-MATE) creates accessible subsurface bio-physical data aggregates. This open-source R software reformats oceanographic voyage data for improved long-term change documentation and model validation.

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Area of Science:

  • Oceanography
  • Marine Biology
  • Data Science

Background:

  • Biological ocean data from ships are crucial for understanding long-term changes, validating satellite algorithms, and assessing models.
  • Existing aggregated data products often lack subsurface data, physical parameters, or comprehensive biological information.

Purpose of the Study:

  • To introduce the first version of the BIOlogical ocean data reforMATting Effort (BIO-MATE).
  • To address the gap in accessible subsurface bio-physical data aggregates.
  • To provide a reproducible method for data reformatting.

Main Methods:

  • Utilized open-source R software for data reformatting.
  • Processed openly sourced, published datasets from oceanographic voyages.
  • Integrated biological and physical data from various sensors and analyses (underway, profiling, pigment, particulate organic carbon).

Main Results:

  • Developed an interoperable BIO-MATE data product containing reformatted biological and physical data.
  • Ensured easy access and usability of the aggregated data.
  • Facilitated the application of QA/QC protocols for diverse applications.

Conclusions:

  • BIO-MATE establishes a reproducible framework for creating subsurface bio-physical data aggregates.
  • The BIO-MATE data product enhances the utility of historical oceanographic data.
  • This effort supports a wider range of oceanographic research, from surface to subsurface studies.