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Data Methodology

Here we present Matlab scripts to extract samples and construct time-series for common zooplankton and phytoplankton taxa in the CPR-BEAMS dataset

Matlab scripts

Scripts to Extract Data and Generate Time-Series

The scripts are available via GitHub:
lws050721/CPR-BEAMS: Example MATLAB scripts for working with CPR-BEAMS data via BCO-DMO

 

Functions of the Scripts:

Data Reader with Area Restriction

  1. Extract and map the locations of available samples within a specified area and range of dates from the CPR-BEAMS resource on BCO-DMO.
  2. Extract abundance data for specified taxa from the CPR-BEAMS resource on BCO-DMO.
  3. Return a monthly time-series for the abundance of a specified taxon within an example area and range of dates:
    • Highlight missing samples.
    • Backfill missing data using the local median value for any given month.

Data Reader and Gridder

  1. Grid the data and produce localized seasonal abundance profiles for representative example taxa.
  2. Grid the data and produce localized monthly abundance time-series for representative example taxa.
  3. Grid the data and produce localized monthly abundance time-series for representative example taxa:
    • Highlight missing samples.
    • Backfill missing data using the local median value for any given month.

Contact:
For questions, clarifications, or assistance with the scripts or the CPR-BEAMS data resource, please contact Lawrence Sheppard. He can provide support on:

  • Understanding how to use the scripts to extract and analyze data.
  • Troubleshooting issues with data extraction, mapping, or time-series generation.
  • Customizing the scripts for specific research needs or datasets.
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