<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/3b0b4fc2a29b48fb97efb7817cb3360d&quot; frameborder=&quot;0&quot; width=&quot;1270&quot; height=&quot;952&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>952</height><width>1270</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>952</thumbnail_height><thumbnail_width>1270</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3b0b4fc2a29b48fb97efb7817cb3360d-f396b4ca842405fb.gif</thumbnail_url><duration>297.696</duration><title>Accessing Arraylake data via Python and Xarray</title><description>In this video, I walk you through the basics of connecting to the EarthMover platform from Python and using X-Ray for data exploration and plotting. We start by accessing the EarthMover web application to find our dataset, specifically the &quot;earth mover public/era five surface AWS&quot; repository. I demonstrate how to log in, retrieve the repository, and open it using X-Ray, allowing us to interact with the data seamlessly. I also show how to plot a specific variable, total column water vapor, for a given time. I encourage you to explore the dataset further and consider how you might analyze it in various ways.</description></oembed>