{
  "Name": "BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark",
  "BIDSVersion": "1.7.0",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "[Unspecified1]",
    "[Unspecified2]"
  ],
  "ReferencesAndLinks": [
    "https://beetl.ai/data",
    "10.48550/arXiv.2202.12950"
  ],
  "Keywords": [
    "machine learning",
    "transfer learning",
    "domain adaptation",
    "Brain-Computer-Interfaces",
    "EEG",
    "neuroscience",
    "NeurIPS2021",
    "motor imagery",
    "cross-dataset",
    "subject independence"
  ],
  "DatasetDOI": "10.82901/nemar.nm000220",
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.2.0"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "doi:10.48550/arXiv.2202.12950"
    }
  ],
  "PublicationYear": 2022,
  "Version": "1.0.6"
}