html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3564#issuecomment-1438976297,https://api.github.com/repos/pydata/xarray/issues/3564,1438976297,IC_kwDOAMm_X85VxQkp,7991816,2023-02-21T19:18:26Z,2023-02-21T19:18:26Z,NONE,"> In case it's helpful for inspiration, we took a similar approach with the MNE-Python package (neuro electrophysiology package):
> 
> https://mne.tools/stable/index.html
> 
> Maybe there are at least 3 levels in there, actually:
> 
>     * **Examples** - short vignettes that highlight one very specific piece of functionality, key-words for the example should be `ctrl-f`able in the title
> 
>     * **Tutorials** - in-depth guides through a common part of workflow that xarray wishes to enable, with more explanation and detail
> 
>     * **Domain use-cases** - examples of how xarray can facilitate use-cases in particular fields. Probably cover at a high-level many of the steps that multiple tutorials cover in-depth. More for ""inspiration and buy-in"" than in-depth learning.
> 
> 
> Does that make sense?

@choldgraf seems like this page is down (https://predictablynoisy.com/xarray-explore-ieeg). Are these examples available elsewhere?

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