{
  "Name": "Multi-session longitudinal motor imagery EEG dataset (Kumar et al. 2024)",
  "BIDSVersion": "1.9.0",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "Satyam Kumar",
    "Hussein Alawieh",
    "Frigyes Samuel Racz",
    "Rawan Fakhreddine",
    "Jose del R. Millan"
  ],
  "Funding": [
    "Coleman Fung Foundation",
    "Sinclair Foundation"
  ],
  "EthicsApprovals": [
    "The University of Texas at Austin (Protocol 2020-03-0073)"
  ],
  "ReferencesAndLinks": [
    "https://zenodo.org/records/10694880",
    "10.1093/pnasnexus/pgae076"
  ],
  "Keywords": [
    "motor imagery",
    "brain-computer interface",
    "EEG",
    "transfer learning",
    "domain adaptation",
    "Riemannian geometry",
    "longitudinal training",
    "BCI skill acquisition"
  ],
  "DatasetDOI": "10.82901/nemar.nm000177",
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.5.0dev0"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.1093/pnasnexus/pgae076",
      "URL": "https://zenodo.org/records/10694880"
    },
    {
      "DOI": "doi:10.1093/pnasnexus/pgae076"
    }
  ],
  "PublicationYear": 2024,
  "Version": "1.0.4"
}