Fidelity weighting subjects dataset

Files for Fidelity weighting publication<br> These files were used to create analysis and plots associated with code and article Fidelity weighting. For code and more information go to https://github.com/sanrou/fidelityweighting. Files consist of 41 subject folders that have forward operator, inverse operator, source parcellation identity, and source fidelity files. File format is .npy (numpy Python file).本数据集文件为保真度加权（Fidelity weighting）学术论文的配套研究文件。本批次文件用于生成与保真度加权相关的代码及学术论文配套的分析结果与可视化图表。如需获取相关代码及更多信息，请访问：https://github.com/sanrou/fidelityweighting。数据集包含41个受试者文件夹，每个文件夹内均包含前向算子（forward operator）、逆算子（inverse operator）、源分区标识（source parcellation identity）以及源保真度（source fidelity）文件。文件格式为.npy（Python NumPy 格式文件）。