nm000120 NEMAR-native dataset
Oikonomou2016 – SSVEP MAMEM 2 dataset
A 256-channel EEG dataset from 11 healthy subjects performing a steady-state visually evoked potential (SSVEP) brain-computer interface task. Subjects focused attention on flickering visual stimuli at five different frequencies (6.66, 7.50, 8.57, 10.00, 12.00 Hz) to select commands. The dataset includes 1,104 trials acquired at 250 Hz sampling rate and was used to systematically evaluate state-of-the-art signal processing algorithms for SSVEP-based BCIs, achieving 74.42% mean accuracy with optimized configurations.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.