Pioneer MAB Storm – New Python Notebook Activity

A new example Python notebook activity

As part of the OOI Data Labs 2.0 project, one of our key goals is to create a new series of Python notebook-based lab activities to help professors and undergraduate students use NSF OOI data, especially in the classroom.

We’re still in the prototyping phase. However, at our recent Wilmington workshop, we presented an example activity highlighting how to access and use NSF OOI data from the new Pioneer Mid Atlantic Bight (MAB) Array, which many of you may be interested in checking out.

This “quickstart” activity demonstrates how to pull data from the new OOI Erddap data server, which is much easier to use than the original data portal.  Using different plot types, it also illustrates how students can graph several weather and seawater datasets, like winds, waves, and turbidity. Ultimately, the graphs in the activity show how a storm impacted the ocean around the new MAB array just after it was deployed in early April.

• You can view the Pioneer MAB Storm – Python QuickStart notebook on GitHub.
• You can also use open and run the notebook on Google Collab.

This is just one (early) example of how real-time coding activities could be adapted for undergraduate students. We plan to create several more activities in the coming months, and we look forward to hearing from the community about how to improve this new resource.

So we hope you’ll give this notebook a try and let us (especially Sage) know what you think!