{
  "Name": "He et al. 2025 — VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.2.0",
  "DatasetType": "raw",
  "License": "CC BY 4.0",
  "Authors": [
    "Tianyu He",
    "Mingyi Wei",
    "Ruicong Wang",
    "Renzhi Wang",
    "Shiwei Du",
    "Siqi Cai",
    "Wei Tao",
    "Haizhou Li"
  ],
  "HowToAcknowledge": "Please cite: He, T. et al. (2025). VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language. Scientific Data, 12, 657. https://doi.org/10.1038/s41597-025-04741-2",
  "Funding": [
    "National Natural Science Foundation of China",
    "Shenzhen Science and Technology Innovation Program"
  ],
  "EthicsApprovals": [
    "Ethics Committee of South China Hospital, Shenzhen University (HNLS20231229003-A)"
  ],
  "ReferencesAndLinks": [
    "https://doi.org/10.1038/s41597-025-04741-2",
    "https://zenodo.org/records/14696348",
    "https://tianyu-h42.github.io/sEEG_speechDecoding/"
  ],
  "DatasetDOI": "10.82901/nemar.nm000251",
  "GeneratedBy": [
    {
      "Name": "convert_vocalmind.py (EEGDash)",
      "Description": "Converted Original_sEEG CSV files (raw 1000 Hz) to BIDS-iEEG BrainVision format. Per-trial CSV files are concatenated per speech-mode/task-type with events.tsv marking each stimulus onset.",
      "CodeURL": "https://github.com/bruaristimunha/EEGDash"
    }
  ],
  "SourceDatasets": [
    {
      "URL": "https://zenodo.org/records/14696348",
      "DOI": "doi:10.5281/zenodo.14696348"
    },
    {
      "DOI": "doi:10.1038/s41597-025-04741-2"
    }
  ],
  "Version": "1.0.0"
}