{
  "Name": "PES - Pandemic Emergency Scenario",
  "BIDSVersion": "1.7.0",
  "DatasetType": "raw",
  "Authors": [
    "Tasos Papastylianou",
    "Rodrigo Ramele",
    "Luca Citi",
    "Caterina Cinel",
    "Riccardo Poli"
  ],
  "Acknowledgements": "This research was supported by the Defence Science and Technology Laboratory (Dstl) on behalf of the UK Ministry of Defence (MOD) via funding from US/UK DoD Bilateral Academic Research Initiative (BARI). ",
  "License": "CC0",
  "EthicsApprovals": [
    "The study complied at all times with the Declaration of Helsinki ethical guidelines for research involving human subjects; formal ethical approval was granted by the Ministry of Defence Research Ethics Committee MoDREC - Application No: 983/MoDREC/19 first approved on 5th September 2019, with revisions (ver. 3) approved on the 3rd of June 2021."
  ],
  "ReferencesAndLinks": [
    "https://www.essex.ac.uk/research-projects/adaptive-joint-cognitive-systems",
    "https://www.defense.gov/News/Releases/Release/Article/1644263/dod-announces-bari-award-for-us-uk-collaboration-on-human-machine-teaming/"
  ],
  "Funding": [
    "UK Ministry of Defence (MOD) via funding from US/UK DoD BARI"
  ],
  "DatasetDOI": "10.82901/nemar.on004477",
  "SourceDatasets": [
    {
      "DOI": "doi:10.18112/openneuro.ds004477.v1.0.2"
    }
  ],
  "Version": "1.0.0"
}