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    <responseDate>2026-10-14T21:53:18Z</responseDate>
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    <identifier>10.57760/sciencedb.27618</identifier>
    <datestamp>2026-06-25T11:06:36Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-06-25</dc:date>
  <dc:title>A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27618</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>High-density intracranial recordings during naturalistic language processing are critical for advancing models of speech perception. However, open, well-annotated high-density ECoG resources for tonal languages such as Mandarin remain scarce. We present a publicly available high-density ECoG dataset from four participants undergoing awake craniotomy who listened to continuous, sentence-level Mandarin drawn from the Annotated Speech Corpus of Chinese Discourse (ASCCD). Signals were recorded with 128&amp;ndash;256-channel subdural grids and synchronized with the audio; ECoG signals were down-sampled to 400&amp;thinsp;Hz, filtered in the high-gamma range (70&amp;ndash;150&amp;thinsp;Hz), and used to derive high-gamma amplitude. The release follows BIDS-iEEG and is distributed as NWB files, with derivatives including high-gamma amplitude; word- and syllable-level alignments; Pinyin; lexical tone and stress tiers; prosodic break indices; mel-spectrograms; F0 and formants; and electrode localization on individual anatomy with projections to MNI space. This resource supports fine-grained investigations of lexical tone, syllabic structure, and higher-level linguistic representations during naturalistic listening.</dc:description>
  <dc:subject>neural encoding; cognitive neuroscience; ECoG; Mandarin; speech perception</dc:subject>
  <dc:creator>Haobo Zhang</dc:creator>
  <dc:creator>Daohan Zhang</dc:creator>
  <dc:creator>Jinsong Wu</dc:creator>
  <dc:creator>Yuanning Li</dc:creator>
  <dc:creator>Junfeng Lu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1038/s41597-026-07619-z</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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