{
  "Name": "BNCI 2025-002 Continuous 2D Trajectory Decoding dataset",
  "BIDSVersion": "1.9.0",
  "Version": "1.0.3",
  "HEDVersion": "8.4.0",
  "DatasetType": "derivative",
  "License": "CC-BY-4.0",
  "Authors": [
    "Hannah S Pulferer",
    "Brynja Ásgeirsdóttir",
    "Valeria Mondini",
    "Andreea I Sburlea",
    "Gernot R Müller-Putz"
  ],
  "Funding": [
    "European Research Council ERC-CoG 2015 681231 'Feel Your Reach'",
    "NTU-TUG joint PhD program"
  ],
  "EthicsApprovals": [
    "Medical University of Graz, votum number 32–583 ex 19/20"
  ],
  "ReferencesAndLinks": [
    "https://github.com/sccn/labstreaminglayer"
  ],
  "GeneratedBy": [
    {
      "CodeURL": "https://github.com/NeuroTechX/moabb",
      "Name": "moabb",
      "Description": "Mother of All BCI Benchmarks",
      "Version": "1.5.0"
    }
  ],
  "SourceDatasets": [
    {
      "DOI": "10.1088/1741-2552/ac689f",
      "URL": "https://github.com/sccn/labstreaminglayer"
    }
  ],
  "Keywords": [
    "electroencephalography",
    "trajectory decoding",
    "learning effects",
    "source localization",
    "motor control",
    "neuroplasticity",
    "brain-computer interface"
  ],
  "PublicationYear": 2022,
  "DatasetDOI": "10.82901/nemar.nm000170"
}