-
Notifications
You must be signed in to change notification settings - Fork 115
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Use Pooch to download tutorial data #188
Comments
Agreed 👍 |
Noting here that we will use Zenodo to store the YASA tutorial data. I remembered that Pooch has a nice DOIDownloader class that integrates well with Zenodo to automatically pull metadata about all the files. It's a simpler implementation this way. Plus I just noticed that YASA also gets archived on Zenodo -- sweet :) @raphaelvallat, I'll create a new YASA tutorial data repository on Zenodo and add you as admin or whatever the highest privileges are. |
Placing a list here of all the YASA data files to grab and put on Zenodo. If anyone notices a file I'm missing, please let me know in this thread. From documentation quickstart page, there is a full-night PSG recording with corresponding hypnogram:
From notebooks folder on GitHub repository:
|
All data files are up on a new Zenodo repository here: https://doi.org/10.5281/zenodo.14564284 All filenames are the same except I removed some of the prefixes (e.g., @raphaelvallat I added you as another owner/admin on that Zenodo repository. Feel free to change anything around. Any file changes will bump a version, changing metadata will not (either are fine). |
Accessing/downloading datasets for YASA tutorials would be much easier with Pooch.
OSF orZenodo repository and remove from GitHub.fetchers.py
module to access downloadersPooch has very simple and clear documentation for this, and a great resource to work off of is Ensaio.
I'm afraid that some version of this will need to be implemented in
v0.7
. It feels necessary for me to make the tutorial notebooks for the newevaluation
module, since those will require larger datasets to show their purpose. (therefore kind of blocking #166)**In the future it would be cool to access larger datasets here, like for full analyses rather than demos. It doesn't require any storage. A major benefit would be if YASA performed some standardization step, handling the various formats that people share their PSG data in. But given all the complexities that come with that, this feature should be reserved for a dedicated contributor later on (if interested in implementation at all).
The text was updated successfully, but these errors were encountered: