The following python notebook shows how you can programmatically download and work with the QC algorithm results from the OOI synchronous API. It also demonstrates how QC results and annotations can be displayed on an interactive graph.

Deciphering OOI Data Quality Flags Example

For more information on QC flags, please check out the Quality Control information page, as well as the knowledge base article on how to Interpret QC Variables and Results.

This example was developed by Friedrich Knuth and the Rutgers OOI Data Team, for the 2018 OOI Early Career Data Workshops held at Rutgers University.