File "meta_data_UKArchiveReShare.xlsx" including demographic and session data:
- gender
- age
- NBO administered
- NBO completed
- questionnaire data available


Folder "NBO_data", including for each participant:

1. .mat file with EEG variables
- EEGraw_all = EEG raw data for each block (eeg = eeg data; eeg_t = eeg timing info; t_mark = marker timing info)
- ERPs_all = ERP data for each block
- Output = for each block alternative output measures (not used for BO; incl. Nc latency, Nc peak amplitude, Nc mean amplitude across the standard time window) and the percentage of trials included in the ERP (perc_good)

2. Plots of Nc for each block (including the output measure and the percentage of trials included in the ERP)

3. folder including python BO output
- log.txt: Nc output value per iteration (x = stimulus space coordinate; maximum obtained by the algorithm = coordinate of stimulus that elicited the maximum value -- of note, this sometimes differs from the point that the model PREDICTS to elicit the maximum value)
- figures: updated Gaussian process model after each iteration, and utility function indicating next stimulus to sample
- optimizer.joblib: predicted objective function


Folder "questionnaire_data", including for each participant responses to:
- Vineland Adaptive Behaviour Scales (Parent/Caregiver Form; VABS)
- Infant Behaviour Questionnaire (IBQ)
- Positive and Negative Affect Schedule (PANAS-SF)
- Maternal Mood Checklist (MMCL)
- IT-HOME-derived questions (HOME), for questions see "IT-HOME-derived_questions.txt"