Source-reconstructed cortical MEG time series for "Shannon observables: A scalable approach to information decomposition"

Parcellated source-reconstructed resting-state MEG time series for 54 participants from the NIMH Healthy Research Volunteer Dataset (OpenNeuro ds005752), using a 62-region DKT cortical atlas. This dataset accompanies the study “Shannon observables: A scalable approach to information decomposition” (preprint version: “Shannon invariants: A scalable approach to information decomposition”, arXiv:2504.15779). See the README for file structure, provenance, and processing details.本数据集包含来自美国国立精神卫生研究所（National Institute of Mental Health, NIMH）健康研究志愿者数据集（OpenNeuro ds005752）的54名参与者的经分区源重构静息态脑磁图（Magnetoencephalography, MEG）时间序列，采用62脑区DKT皮层图谱（DKT cortical atlas）进行脑区划分。本数据集配套于研究论文《香农可观测变量：一种可扩展的信息分解方法》，其预印本版本为《香农不变量：一种可扩展的信息分解方法》，arXiv编号为2504.15779。有关文件结构、数据溯源与处理细节，请参阅自述文件（README）。