Entries by Sage Lichtenwalner

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Show Your Stripes

About a year ago, I ran across the cool new site for the #ShowYourStripes campaign. On the site, you can download a customized climate anomaly graph for any country or state.  Spoiler alert: they’re all trending from blue towards red as the global climate warms, but there is quite a bit of variability from place to […]

June 2020 Community News

In this issue: Data Labs Summer Update Ready to Use Datasets for Educational Activities NSF Letter on Data Proposals Virtual OceanHackWeek 2020 Data Labs Summer Update It’s been a while since our last note, but like all of you, we’ve been busy! Over the past 3 months, the Data Labs team, in partnership with Rutgers RIOS […]

Summer Weekend Reads

It’s officially summer, and that means it’s time for some summer weekend reading! Here are a few suggestions that popped up in my inbox and blog feed over the past few weeks.  The topics range from undergraduate research to ocean data, visualization and the OOI – all things I know our community loves to learn […]

Data Labs at the OOI Facilities Board

Earlier this month, Janice and I presented an update on the Data Labs project to the OOI Facilities Board during their (virtual) spring meeting. It’s always nice to have an opportunity to reflect on your accomplishments. It’s been almost 2 years since we began this 2-year project (now stretched to 3), and it’s been an […]

Identifying Dataset Sample Rates

Today’s example is rather simple, but it answers a common question I’ve heard… What is the sample rate of my dataset? For many ocean observatory datasets, the rates are usually pretty well defined and constant in time. For example, most NDBC offshore buoys are sampled hourly, while CMAN and NOS Water Level stations record every […]

Merging Datasets For the Win (and export)

If you find yourself with multiple datasets that you need to analyze or plot together, you will probably need to merge them. A merged dataset is handy because all of the data points line up with the same index or timestamp, which allows you to quickly compare variables, calculate correlations or create scatterplots. Because OOI […]

Access the Ocean with OOI

Have you been looking for a good (and quick) video introduction of the OOI to show your students? In case you haven’t seen this video yet, it’s a nice option to consider. This video, Access the Ocean, was produced back in the fall of 2018 by the Consortium of Ocean Leadership, as one of their […]

Data requests the easy way with the OOI API

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 […]

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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 […]

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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 […]