{
  "Name": "Motor Imagery dataset from Cho et al 2017",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "Hohyun Cho",
    "Minkyu Ahn",
    "Sangtae Ahn",
    "Moonyoung Kwon",
    "Sung Chan Jun"
  ],
  "Funding": [
    "GIST Research Institute (GRI) grant funded by the GIST in 2017",
    "Institute for Information & Communication Technology Promotion (IITP) grant funded by the Korea government (No. 2017-0-00451)"
  ],
  "EthicsApprovals": [
    "Institutional Review Board of Gwangju Institute of Science and Technology"
  ],
  "ReferencesAndLinks": [
    "http://dx.doi.org/10.5524/100295",
    "10.1093/gigascience/gix034"
  ],
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.5.0"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.5524/100295",
      "URL": "http://dx.doi.org/10.5524/100295"
    }
  ],
  "Keywords": [
    "motor imagery",
    "EEG",
    "brain-computer interface",
    "performance variation",
    "subject-to-subject transfer"
  ],
  "PublicationYear": 2017,
  "DatasetDOI": "10.82901/nemar.nm000245",
  "Version": "1.0.2"
}