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    <responseDate>2026-10-13T17:04:01Z</responseDate>
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    <identifier>10.57760/sciencedb.43781</identifier>
    <datestamp>2026-07-28T17:00:31Z</datestamp>
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  <dc:date>2026-07-28</dc:date>
  <dc:title>Standard EEG-fNIRS Artifact Benchmark: simultaneous EEG-fNIRS recordings of 12 standardized artifact tasks</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.43781</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset provides simultaneous electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recordings from eight healthy adults, intended as an open benchmark for artifact-removal methods. EEG was recorded with a 32-channel BioSemi system at 1000 Hz using the international 10-20 montage; fNIRS was recorded concurrently with a NIRx NIRScout system (16 channels, 760 and 850 nm) at 11 Hz. Each session begins with a resting baseline and includes twelve standardized artifact-generating tasks spanning ocular, myogenic, motion, and physiological classes. Recordings are raw and unprocessed, with time-stamped task markers for each trial. Files follow a sub-&amp;lt;ID&amp;gt;_trial-&amp;lt;NN&amp;gt;_&amp;lt;modality&amp;gt; naming convention. Full documentation of the structure, marker vocabulary, and recording parameters is included. The dataset accompanies the BiCAR study on bidirectional EEG-fNIRS artifact removal.</dc:description>
  <dc:subject>EEG; fNIRS; simultaneous EEG-fNIRS; artifact removal; benchmark dataset; motion artifact; brain-computer interface; multimodal neuroimaging</dc:subject>
  <dc:creator>朱玮玥</dc:creator>
  <dc:creator>李文豪</dc:creator>
  <dc:creator>房林</dc:creator>
  <dc:creator>吴凯</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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