NEMAR copy of ds007655
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Each OpenNeuro pull is a NEMAR major bump
(vN.0.0); intermediate versions are NEMAR-side fixes.
MorseEEG-ATP
MorseEEG-ATP is a multitask electroencephalography dataset comprising synchronously recorded EEG and behavioral data from 32 healthy adult participants performing auditory discrimination tasks using Morse code stimuli. The dataset addresses auditory temporal processing and temporal pattern discrimination across two tasks (dot-count and first-last match) and three presentation-rate conditions (15, 30, and 40 characters per minute). Raw 62-channel EEG recordings sampled at 600 Hz are provided alongside minimally preprocessed derivatives, trial-aligned event annotations, behavioral measures, and analysis scripts in BIDS-compatible format. Technical validation is provided through behavioral performance, event-related potential responses, and listening-related measures as described in the accompanying Scientific Data publication. Note: Data quality issues including corrupted channels for sub-13 (channel 56), sub-14 (channel 56), and sub-15 (channel 43) have been addressed through interpolation in the preprocessed derivatives.
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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.