A new example Python notebook activity As you may have heard, the seafloor at the Axial Seamount volcano continues to uplift, and is about to pass the level it reached during the last eruption in 2015. In addition, earthquake activity has increased throughout the fall. Both indicators point to a likely eruption in the near future. […]
A new example Python notebook activity Have you ever wanted to play with profiler data from the NSF OOI? For simple exploration, the OOI Data Explorer is a great way to browse and quickly plot profiler data. (There are currently over 5,800 profiling datasets in the system!) You can use the site to select specific instruments, […]
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 […]
Will you be attending the Ocean Sciences Meeting in New Orleans this year? If so, we hope you’ll check out the following talks and posters by OOI Data Labs community members. All of these will feature first-hand accounts from faculty who have used the OOI Lab Manual or OOI Data Explorations in their classrooms. We […]
On Wednesday, February 21st, we will host a “mini” workshop for professors interested in learning about the Ocean Observatories Initiative (OOI) and how they can utilize OOI data to support the teaching of oceanographic concepts and data literacy to undergraduate students. The workshop will introduce faculty to the community-developed collection of OOI Data Explorations and the online OOI Lab Manual. Participants will learn how these resources can be integrated […]
It’s official! You may have seen the news on the newly redesigned OOI website (which is looking great!), or the recent article on our site: Undergraduates Discover New Ways of Exploring the Ocean… with Data. But in case you missed those, we’re happy to announce, the OOI Data Labs project has been renewed! Well, technically, it’s a new project, but […]
Silke Severmann, associate professor in the Department of Marine and Coastal Sciences, teaches the introductory course in oceanography at Rutgers. Her role in this first-year seminar is to introduce students to the application of technologies used in ocean observing systems. She helps undergraduates understand the relationships among the biological, physical, chemical and geological features of […]
I’ve long touted the advantages of using NDBC data for introducing students to programming and data analysis, with an oceanographically focused dataset. In particular, their DODS Server makes it fairly easy to access decades of data from hundreds of stations using the xarray library and a few lines of code in Python. Apparently, people have been listening. […]
Early on in our OOI Data Labs project planning, we had a big question: Of all the data collected by the OOI, which datasets would really engage students? The OOI has over a thousand instruments deployed across several Arrays, and all of those instruments are tasked with supporting a range of science questions, from the […]
Back in the early days of the OOI, I was part of a small team of designers and developers who were tasked with building tools to support undergraduate education. Our vision consisted of an OOI Ocean Education Portal that included an integrated, and arguably cutting-edge, suite of tools. This Education Cyberinfrastructure included a Data Visualization Builder, Concept […]
Last year was a tumultuous one for the history books, to put it mildly. And while many of us already trying to forget the year that was 2020, the Ocean Data Labs community actually has a lot to be proud of. Of course, from an educational perspective, the biggest disruption of the past year was […]
Data portals are great for navigating and finding useful datasets. But sometimes, the easiest way to access data is with a bit of code, especially when you want to make your own graphs or do a bit of custom processing (like the above example). For about 3 years, I’ve been using Python notebooks to grab […]
