2026-10-10T17:08:36Z https://www.scidb.cn/oai

10.57760/sciencedb.43127 2026-07-20T10:28:11Z

2026-07-20 An sEEG dataset of natural Mandarin narrative comprehension doi:10.57760/sciencedb.43127 en Speech comprehension relies on neural populations spanning multiple brain areas, and investigations of the functional specialization and temporal dynamics of these populations require techniques with high spatial and temporal resolution. Here, we introduce a large stereo-electroencephalography (sEEG) dataset of 19 participants with 2,882 electrode contacts while listening to an 80-minute Mandarin Chinese audiobook. Alongside the recordings, we provide features of the speech materials, spanning acoustic metrics, segmentation boundaries, and lexical properties. We validate the recordings with event-related responses and multivariate temporal response function analyses, and provide detailed tutorials for raw-data preprocessing and the validation analyses. This large-scale dataset serves as a benchmark for studying natural Mandarin Chinese speech comprehension, from fine-grained spatiotemporal neural mechanisms to cross-language comparisons. cognitive neuroscience; natural speech; sEEG Zhenxiong Jie Jiajie Zou Dengchang Wu Di Chen Yuehui Ma Xing Zhang Nai Ding Max Wolpert Kang Wang PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank