<?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/be1b841f268048979b05c5aa29a6a3dd&quot; frameborder=&quot;0&quot; width=&quot;1166&quot; height=&quot;874&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>874</height><width>1166</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>874</thumbnail_height><thumbnail_width>1166</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/be1b841f268048979b05c5aa29a6a3dd-7c9aa9162d6010ca.gif</thumbnail_url><duration>1098.794</duration><title>Jumpstart HETDEX Data Access with JupyterHub</title><description>This Loom explains how to access HETDEX public data using the HETDEX JupyterHub and an LLM-enabled workflow. It shows where to find public data release instructions, then notes that the JupyterHub requires a TACC account via university affiliation and sign-up, with a temporary work directory and read-only data. It describes an IFU index file that maps coordinates to data cubes and highlights example cube dimensions: 51 by 51 arcseconds spatially at 0.5 arcseconds resolution and 2 angstrom spectral resolution spanning 3470 to 5540 angstroms. The author demonstrates using Claude via a terminal login flow to read the provided context file, access the environment, and generate AGN spectra and 3D views, while mentioning JupyterHub limits of 2 cores and 10 GB memory.</description></oembed>