Phonological Acceptability Judgments: MEG/EEG, MRI, and Behavioral Data
by Gow, David / Harvard Dataverse·Updated 1mo ago
Available on 1 platform
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Description
Raw MEG/EEG data, T1-MRI scans, experiment stimuli, behavioral data, trigger codes, and analysis code from a phonological acceptability judgments study. The dataset was contributed by David Gow and hosted on Harvard Dataverse. It was last updated on June 9, 2026.
Use Cases
Decoding neural activity patterns based on raw MEG/EEG data.
Correlating brain structure with function based on T1-MRI data.
Analyzing participant responses based on behavioral data.
Replicating or extending decoding analyses based on the provided code.
Strengths
Includes raw neuroimaging data (MEG/EEG) and structural scans (T1-MRI), which are less commonly shared.
Contains the full experimental pipeline, including stimuli, trigger codes, and analysis code for reproducibility.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and dataset scale are unknown, which may limit suitability assessment.
Provenance
Source
Harvard Dataverse
Collection Method
Collected from a controlled experiment on phonological acceptability judgments.
Freshness
Last updated 2026-06-09 19:28:19; freshness should be verified.
License is unknown; terms of use must be verified before download and application.