Example Datasets for SleepEEGpy: a Python-based software integration package to organize preprocessing, analysis, and visualization of sleep EEG data

This dataset includes three high-density sleep EEG recordings of healthy participants, downsampled to 250 Hz and stored in FIF format:

1. Nap recording of a young adult participant
2. Overnight recording of a young adult participant
3. Overnight recording of an older adult participant

Additionally, the dataset includes three text files for each recording:

• bad_channels.txt: Indexes of noisy channels
• annotations.txt: Onset and duration of noisy temporal intervals
• staging.txt: Sleep staging vector

The corresponding package can be found on GitHub.