Community Data Tools

Here, we have compiled tools that community members have built to access, analyze, and visualize datasets. We hope you find them helpful in advancing your efforts to use OOI data in your work.

These data analysis and visualization tools have been compiled and are maintained by community members. Should you have a question about a specific tool, please reach out to the tool creator directly. If you need further help or a have a tool you’d like to share, please reach out to the HelpDesk.

Data Analysis and Visualization Tools

Four-Part Series on How to Use Data Explorer

In eight minutes or less per session, you can learn how to find and visualize time-series, glider, or profiler data and compare time-series data.

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OOI Data Tools on GitHub

Many in the OOI community use GitHub to work together to host and review code, manage projects, and build software together. This is a good place to begin to integrate OOI data into your scientific investigations.

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OOIPY: A Python Toolbox

OOI community members Felix Schwock, John Ragland, Matthew Munson, and Shima Abadi created a Python toolobx design to aid in the scientific analysis of OOI data. It allows users to access OOI broadband and low frequency hydrophone data, compute spectograms and power spectral density (PSD) estimates using the Bartlett/Welch method, and visualize spectrograms and PSD estimates.

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