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update vrelab docs
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docs/workspaces/programming/vre-lab.qmd

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This VRE Lab workspace hosts a [JupyterLab](https://jupyterlab.readthedocs.io/en/latest/) environment that provides [Jupyter notebooks](https://jupyter.org/) alongside a number of useful applications accessible through the browser. This catalog item can easily be extended with additional applications to suit your research needs.
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VRE Lab workspace is also available with a **Desktop** interface. Select Ubuntu Desktop as the flavor when [creating your workspace](../../../manuals/creating.qmd) and you can access it from the JupyterLab environment.
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VRE Lab workspace is also available with a **Desktop** interface. Select Ubuntu Desktop as the flavor when [creating your workspace](../../manuals/creating.qmd) and you can access it from the JupyterLab environment.
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The Desktop option is particularly useful for GUI applications, 3D visualization tasks, and when combined with GPU workspaces (**VRE Lab GPU** catalog item), provides GPU-accelerated rendering for 3D analysis and extensive data processing from the desktop environment.
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- **Python tools**: Additional tools for managing Python environments (includes `uv`, `poetry`, and `conda`).
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- **Custom Packages UU**: Automatically install dependencies for Python, R, Julia, or Conda projects from Git repositories, Zenodo, Dataverse, or DOI links.
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::: {.callout-tip}
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## Custom Packages UU
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If you select "Custom Packages UU", you can provide a comma-separated list of project identifiers (e.g., GitHub URLs, Zenodo links, or DOIs) in the workspace parameters. These projects will be saved to `/local-share` with their dependencies installed in separate environments.
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:::{.callout-tip collapse="true"}
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## How to Use Custom Packages UU
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{{< include ../partials/_custom-packages.qmd >}}
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:::
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Simply check the boxes for the components you need, then continue with workspace creation. You can always install additional software later using sudo rights from the terminal.

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