OOI Data Python Notebooks
The Ocean Observatories Initiative and other Ocean Observing Systems provide a great opportunity to involve students in data analysis. While online interactive widgets, like our Data Explorations, provide an easy entry point for students to use and learn from data, to gain a deeper understanding of oceanographic processes (let alone data analysis), it’s important that students also have an opportunity to interact with real data using code – as many of today’s oceanographers do.
The Ocean Data Labs project is working with the community to develop prototype lessons and activities that use coding notebooks to engage students in data, and we hope to share more of those soon. But for now, you can check out the following notebooks we developed for our REU this past summer.
- 2020 Data Labs REU
Data Processing Examples
In the processes of developing our Data Explorations and training for other workshops, we have developed a number of Python notebooks that demonstrate how to access, process, and visualization data from the OOI. We encourage you to check out these examples, and use them to develop your own lessons and activities to share wit the community.
- 2019 Data Lab Workshops – Includes several tutorials and over 2 dozen notebooks that show how the datasets used in our Data Explorations were processed.
- Data Lab Nugget Notebooks – A new collection of notebooks that show how the processed data in our Data Lab Nuggets was created.
- Data Lab Blog Examples – A collection of code examples from our blog. If you’re interested in processing OOI data, you should checkout:
- 2018 Early Career Data Workshops – Includes workshop tutorials, example scripts, and over 3 dozen Data Review notebooks compiled by participants.