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Data · dataset · 2026

A Fine-grained Spatiotemporal ECoG Dataset during Speech Perception in Tonal Language

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High-density intracranial recordings during naturalistic language processing are critical for advancing models of speech perception.

Description

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 128–256-channel subdural grids and synchronized with the audio; ECoG signals were down-sampled to 400 Hz, filtered in the high-gamma range (70–150 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.

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This resource supports fine-grained investigations of lexical tone, syllabic structure, and higher-level linguistic representations during naturalistic listening.

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Catalogue records · 1

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Inferred from text
Audio 75% · Psycholinguistics 80%
Provenance · 1 source records, 13 field assertions
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ScienceDB10.57760/sciencedb.2761812 d agoJSON v1
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