We’re very pleased to release the raw EEG data, pre-processing parameters and stimulus details for our EEG story-listening experiment. The data comprise 49 human electroencephalography (EEG) datasets collected in our lab. The data were recorded with 61 active electrodes and a Brain Products actiCHamp amplifier at 500 Hz (0.1 to 200 hz band). Participants listened passively to a 12.4 m audiobook recording of the first chapter of Alice’s Adventures in Wonderland (librivox.org) and after which they completed a short 8-question comprehension questionnaire. The raw data are stored as MATLAB data structures created by the Fieldtrip toolbox (version 20170322, available at http://fieldtriptoolbox.org/)
These data are used in the soon-to-appear publication:
Brennan, J. R., & Hale, J. T. (To appear). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE
These are the same data used for the analysis in our 2018 ACL paper.
The data and other information are released under the Creative Commons By Attribution License 4.0. That means that anyone can use these data to replicate/remix/build our work as long as you give appropriate credit. So have fun and let us know what you find!
Here is the recommended citation for the data:
Brennan, J.R. (2018). EEG Datasets for Naturalistic Listening to “”Alice in Wonderland”” [Data set]. University of Michigan Deep Blue Data Repository.
https://doi.org/10.7302/Z29C6VNH