MNE Sample MEG Auditory: Magnetoencephalography Data from Auditory Stimulation

Magnetoencephalography (MEG) data from an auditory stimulation experiment recorded using 305 sensors. The dataset includes a design matrix and separate measurements for left and right auditory stimulation. It was generated using the MNE-Python library and is shared under a BSD license by MNE contributors.

Use Cases

• Training source localization models based on the provided forward operator (gain matrix).
• Analyzing brain response patterns to left versus right auditory stimuli.
• Developing denoising or feature extraction methods for MEG time-series data from 305 sensors.

Strengths

• Data is structured with a clear separation for left and right auditory stimulation conditions.
• Includes a forward operator (gain matrix) for source localization tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

MNE contributors via OpenML.

Collection Method

Generated from an auditory stimulation experiment using MNE-Python scripts.