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General Info: inst-comp-eeg

This dataset contains EEG recordings from participants performing a novel instruction-following task and an accompanying 1-back localizer task, designed to investigate how complex task instructions are represented and implemented in the brain. Each participant completed a single session including 16 blocks of the main instruction-following task, requiring integration or selection of visual features across sequential instruction screens, and 8 blocks of a localizer task. The dataset is intended to support research on instruction-based cognitive control and rule representation.

Participants: 41
Channels: 63 (10-10)
Citations: 5
Size: 57.7 GB
Version: v1.0.0
Updated: Aug 19, 2026

Discover datasets

BigP3BCI Study S1 — 9x8 face/house paradigm (10 healthy subjects)

BigP3BCI Study M — 9x8 adaptive/checkerboard (21 ALS subjects)

Music Listening- Genre EEG dataset (MUSIN-G)

Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study G)

Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study P)

Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study C)

BigP3BCI Study F — 6x6 multi-paradigm, 3 sessions (10 healthy subjects)

ERP paradigm of the Mobile BCI dataset

General Info: inst-comp-eeg

Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study S2)