{
  "Name": "EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding",
  "BIDSVersion": "1.6.0",
  "DatasetType": "raw",
  "License": "CC0",
  "Authors": [
    "Xin XU",
    "Xinke SHEN",
    "Xuyang CHEN",
    "Qingzhu ZHANG",
    "Sitian WANG",
    "Yihan LI",
    "Zongsheng LI",
    "Dan ZHANG",
    "Mingming ZHANG",
    "Quanying LIU"
  ],
  "DatasetDOI": "10.82901/nemar.on005540",
  "Acknowledgements": "We would like to thank Dr. Xin Hu for providing the video materials of the FACED dataset. This work was supported by the National Key R\\&D Program of China (2021YFF1200804), Shenzhen Excellent Youth Project (RCYX20231211090405003), Shenzhen Science and Technology Innovation Committee (RCBS20231211090748082, KJZD20230923115221044, 2022410129,  KCXFZ20201221173400001).",
  "Funding": [
    "the National Key R&D Program of China (2021YFF1200804)",
    "Shenzhen Excellent Youth Project (RCYX20231211090405003)",
    "Shenzhen Science and Technology Innovation Committee (RCBS20231211090748082, KJZD20230923115221044, 2022410129, KCXFZ20201221173400001)",
    "SUSTech Undergraduate Innovation and Entrepreneurship Training Program(2024S07)"
  ],
  "EthicsApprovals": [
    "the Medical Ethics Committee of Southern University of Science and Technology (Project No.20220174)"
  ],
  "ReferencesAndLinks": [
    "Chen, J. et al. A Large Finer-grained Affective Computing EEG Dataset. Sci. Data 10, 740, 10.1038/s41597-023-02650-w (2023)",
    "Nummenmaa, L., Glerean, E., Hari, R. & Hietanen, J. K. Bodily maps of emotions. Proc. Natl. Acad. Sci. 111, 646–651, 10.1073/pnas.1321664111 (2014). https://www.pnas.org/doi/pdf/10.1073/pnas.1321664111"
  ],
  "SourceDatasets": [
    {
      "DOI": "doi:10.18112/openneuro.ds005540.v1.0.7"
    }
  ],
  "Version": "1.0.0"
}