MODA is a large open-source dataset of high quality, human-scored sleep spindles (5342 spindles, from 180 subjects) that was produced by the Massive Online Data Annotation project. Sleep spindles were detected as a consensus of a number of human-expert scorers. With a median number of 5 experts scoring every EEG segment, MODA offers sleep spindle annotations of a quality unseen in previous datasets.
The dataset was described and introduced in the following publication:
Lacourse, K., Yetton, B., Mednick, S. et al. Massive online data annotation, crowdsourcing to generate high quality sleep spindle annotations from EEG data. Sci Data 7, 190 (2020). https://doi.org/10.1038/s41597-020-0533-4