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    <identifier>10.57760/sciencedb.00zuj</identifier>
    <datestamp>2026-08-20T16:35:56Z</datestamp>
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  <dc:date>2026-08-20</dc:date>
  <dc:title>EEG dataset of rapid visual anomaly detection</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.00zuj</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The EEG amplifier used was a NeuroHub system from Neuracle, with a sampling rate of 1000 Hz. Synchronization between the recorded EEG signals and the experimental paradigm was achieved by sending triggers to the recording device. The EEG cap, tag device, data terminal, stimulus device, and recording device were connected within the same local area network. EEG data containing trigger information were transmitted to the recording device in packets via TCP/IP protocol. The experiment employed 64 channels arranged according to the international 10-20 system.</dc:description>
  <dc:subject>EEG; RSVP; anomaly detection</dc:subject>
  <dc:creator>Zhikai Xing</dc:creator>
  <dc:creator>Jieshan Li</dc:creator>
  <dc:creator>Zhong Liu</dc:creator>
  <dc:creator>Chun Yang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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