This dataset contains the raw EEG data collected in a study investigating the neural signatures of extensive training. Specifically, 30 subjects performed a simple stimulus-action association task in which they learned to respond with one out of two key presses to a stimulus presented on screen. In each block, four different stimuli were presented, meaning that half of the stimuli was associated with a right response (press 'j') and the other half was associated with a left response (press 'f'). To investigate distinct timescale, stimuli repeated both within experimental blocks (each stimulus 8 times), and one set of stimuli repeated across experimental blocks (8/16 blocks contained the same four stimuli). This dataset contains the raw EEG data collected using a BioSemi 64 channel setup. Also, six external electrodes were used to measure eye activity (left and right mastoid; lateral canthi of both eyes; above and below left eye). The electrodes were placed using the 10-20 system, and this system contained a posterior CMS-DLR electrode combination. The SUBID.npy files contain the behavioral data of the experiment phase (512 trials; i.e. exercise phase data is not included).The SUBID.bdf files contain EEG data of the experiment phase (512 trials; no data was collected during the exercise phase). Finally, the files titled "theta_alpha_beta_behavioural" are used in the analysis and plotting scripts (see GitHub).

Paper describing this dataset: https://doi.org/10.1111/ejn.15320 Scripts used to analyse the data can be found on GitHub: https://github.com/phuycke/alpha_theta_timescales This study was funded by grant numbers G0F3818N and 1102519N by Research Foundation Flanders (Belgium, Europe)