Welcome back to Python Tuesday!
The OOI dataset is not exactly the easiest dataset to work with. But a significant reason for this is that the dataset contains over a thousand individual instruments in the system and 36 different instrument types (and that’s not even counting engineering data streams). So no system with such a high level of complexity would be trivial to use.
The good new is the even though deciphering the OOI dataset can sometimes be a soup of Reference Designators, stream names, methods, and parameters (here’s a quick guide to all that), once you’ve figured out the dataset you want to play with, actually requesting it from the OOI Data Portal is relatively straightforward with a little bit of code.
This example is an updated and simplified version of the earlier Quickstart Guides we put together. I encourage you to check those out if you’re interested in the Matlab or R examples.
So let’s dive into how to use the OOI API to request some Pioneer data with today’s example notebook.