{
  "Name": "Gwilliams et al. 2023 — Introducing MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing",
  "BIDSVersion": "1.9.0",
  "DatasetType": "raw",
  "License": "CC0",
  "Authors": [
    "Laura Gwilliams",
    "Graham Flick",
    "Alec Marantz",
    "Liina Pylkkänen",
    "David Poeppel",
    "Jean-Rémi King"
  ],
  "HowToAcknowledge": "Please cite: Gwilliams, L., Flick, G., Marantz, A., Pylkkänen, L., Poeppel, D., & King, J.-R. (2023). Introducing MEG-MASC: a high-quality MEG dataset of story comprehension. Scientific Data, 10, 862. https://doi.org/10.1038/s41597-023-02752-5",
  "Funding": [
    "FrontCog grant ANR-17-EURE-0017 (J.-R. King)",
    "Abu Dhabi Research Institute (G1001) (A. Marantz, L. Pylkkänen)",
    "Dingwall Foundation (L. Gwilliams)"
  ],
  "ReferencesAndLinks": [
    "https://osf.io/ag3kj/",
    "https://doi.org/10.1038/s41597-023-02752-5",
    "https://www.nature.com/articles/s41597-023-02752-5"
  ],
  "DatasetDOI": "10.82901/nemar.nm000229",
  "SourceDatasets": [
    {
      "URL": "https://osf.io/ag3kj/"
    },
    {
      "DOI": "doi:10.1038/s41597-023-02752-5"
    }
  ],
  "GeneratedBy": [
    {
      "Name": "Original BIDS dataset",
      "Description": "Dataset published as a BIDS-MEG release by the authors. Minor fixes applied during ingestion to satisfy BIDS validator: (1) repaired broken participants.json (syntax errors), (2) replaced 'male'/'female'/'right'/'left' in participants.tsv with M/F/R/L to match Levels, (3) removed orphan anat references from 6 scans.tsv files (MRI files not included in the OSF download), (4) added missing recommended sidecar fields verified against the paper.",
      "CodeURL": "https://osf.io/ag3kj/"
    }
  ],
  "HEDVersion": "8.2.0",
  "Version": "1.0.1"
}