The OOICloud Project is working to make data from the Ocean Observatories Initiative (OOI) publically available in the cloud and accessible through a Pangeo interface. A primary goal is to provide these data to the scientific community using a cloud-performant object storage model, and to provide large-scale remote compute capabilities for research investigations.
With a generous gift from the Microsoft AI for Earth program, OOICloud resides in the Azure Cloud, and currently contains all of the data from the OOI HD video camera deployed at a hydrothermal vent in the caldera of Axial Volcano, a submarine volcano on the Juan de Fuca Ridge.
OOICloud will begin incorporating other OOI datasets in the coming year, starting with data from the geodetic instruments and the echosounders.
Anyone who joins the OOICloud GitHub organization can log in to the OOICloud Pangeo and start working with OOI HD video data! Here are the steps for getting started:
- Join the OOICloud GitHub org. Request an invitation by sending an email to [email protected] and include your GitHub username.
- Log in to ooi.pangeo.io using your GitHub credentials. Choose a minimal machine until you determine that you need more compute power.
- Open a terminal window in Jupyterlab and clone the examples repo:
git clone https://github.com/ooicloud/ooi-pangeo.git
- Run one of the examples in notebooks/camhd! The image_sliders notebook is a fun one.