Entries by


Modeling Seasonal Data

Welcome to Python P-Tuesday! In this new series of posts, I hope to bring you a number of Python examples that can help you and your students learn some of the ins-and-outs of using Python for Oceanographic data analysis, especially when it comes to working with OOI data. Many of the examples will come from […]


March 2020 Community News

In this issue: Spring Webinars – Register Now Ocean Sciences 2020 – Recap and Resources New Video: Data as a Tool Implementation Stipends Available OOI Data Labs+ Webinar Spring Series Continues We hope you have benefited from our previous webinars, either by joining live or viewing the online recordings. Our upcoming sessions focus on Teaching […]

Ocean Sciences 2020 Recap

Last week, the Data Labs team and many members of our growing community attended the 2020 Ocean Sciences meeting in San Diego. If you haven’t had a chance to go, Ocean Sciences is a meeting that’s jam packed with thousands of science talks, and dozens of workshop and town halls. You’re basically talking and learning […]

Ocean Sciences 2020

Will you be attending Ocean Sciences in San Diego this year? If so, we hope you’ll check out the following talks and posters by OOI Data Labs community members. All of these feature Data Explorations developed as part of the Data Labs project, as well as other activities that use OOI data in the classroom […]

February 2020 Community Newsletter

In this issue: Spring Webinars Begin February 6th Ocean Sciences Meeting – Workshop and Session Updates OOI Data Labs Online Lab Manual in development OOI Data Labs+ Webinars: Spring Series begins on February 6th Our 2019-2020 webinar series has been a great success so far, with sessions led by various members of our community on […]

December 2019 Community Newsletter

Ocean Sciences Workshop Announced Data Labs: Using OOI Data to Engage Students in Oceanography Sunday, February 16, 2020 8:30am – 4:00pm We will be at Ocean Sciences 2020 in San Diego to present another NSF-sponsored workshop on the integration of Ocean Observing Initiative (OOI) data into undergraduate teaching of oceanography themes and concepts. We are […]


Discrete vs. Continuous Data

There are two key benefits of ocean serving systems: they collect data over long time periods, and in high-resolution. Many oceanographic experiments rely on a single cruise or mooring deployment. But when a location is designated as part of an observing system, it becomes semi-permeant with multiple moorings succeeding each other. This allows scientist to […]

August 2019 Community Newsletter

Here’s a quick snapshot of what’s in this Data Labs project update: Updates from our June & July Workshops New Data Explorations in Development Ocean Sciences 2020 – Call for Abstracts Project EDDIE Module Development Workshop Updates from our June & July Workshops It’s been a busy summer for the OOI Data Labs team and […]


Caution… Real Data Ahead!

I love diving into data and discovering new things about the ocean, and we’ve been doing quite a bit of that lately*. But one of the things that really amazes me about the OOI dataset, is that you don’t have to dig far to find some really cool things – and perhaps some new science […]

May 2019 Community Newsletter

Next Up: Our June OOI Data Lab Workshop We’re excited about our next Data Lab Development workshop starting on June 1st, here on our “home campus” in New Brunswick, NJ. Ten professors, representing community colleges, primary undergraduate institutions, and research universities from across the country will join us at the Rutgers University Inn. We still […]

Our first Ocean Data Labs workshop is in the books!

Congratulations to our first OOI Data Lab workshop cohort! In March, we welcomed 20 professors from universities, community colleges, and primary undergraduate institutions to the Chauncey Center in Princeton, NJ, for our first weeklong development workshop. At the workshop, which was supported by the National Science Foundation, we partnered with professors to develop, test, refine, […]

Scattering Data to See Correlations

The most popular data visualizations in oceanography are probably timeseries plots and maps.  But I suspect a strong third is the scatterplot. While a timeseries plot can show how a variable changes in time, and maps can show variation in space, a scatterplot clearly visualizes how two variables vary with each other. In an earlier […]