16 channel Three speaker dynamic switch cEEGrid Auditory Attention Decoding Dataset Nanjing University
收藏资源简介:
The preprocessed EEG data are stored in .npy format, each trial a file, with the naming 'dataset-001-subject-xxx-trial-yyy' The metadata to describe each trial is stored in a single pickle file, in which a dict with key 'dataset-001-subject-xxx-trial-yyy' to the corresponding values The original audio stimuli and the raw trial info are provided in .wav files and .mat files. You shall derive the enveloep from the .wav files, with the stimuli file name specified in the raw trial info. Alternatively, you may contact us for transfering the original stimuli, alongside with the processed envelope and mel spectrogram through Internet or ship a hard disk to you. In the later case, you shall pay the ship fee and provided an unpacked brand new hard disk with at least 250GB to us. The processed stimuli file (compressed) is approximately 200GB (that is to say, uploading to zenodo is almost impossible, and transfering through Internet is also time-consuming, depend on the network status). The EEG data is preprocessed, and other information is well formatted. Anyone with basic MATLAB and Python programming skill and common knowledge of EEG can directly look up files to find out trial infomation. If you struggle to find out some, please first take a care look or ask experienced persons around you for help. If still cannot find, please feel free to contact us. Furhter information about data collection and preprocessing will be available once preprint is ready. We strongly recommend you using our developed python package, SuperHugeAAD, and SuperPrepare, to start your AAD pipeline immediately. EEG data of some subjects are not provided and reserved for other purpose. These data will be published in future, and is temporarily unavailable in any cases.
预处理后的脑电图(EEG)数据以.npy格式存储,每个试次对应一个独立文件,命名格式为`dataset-001-subject-xxx-trial-yyy`。 用于描述每个试次的元数据存储于单个pickle格式文件中,该文件内包含以`dataset-001-subject-xxx-trial-yyy`为键、对应实验信息为值的字典。 原始听觉刺激素材与原始试次信息分别以.wav格式文件和.mat格式文件提供。您可从.wav文件中提取包络(envelope),具体刺激文件名可从原始试次信息中获取。 此外,您也可联系我们获取原始刺激素材,或通过互联网传输已处理完成的包络与梅尔频谱图(mel spectrogram),亦可选择寄送硬盘至我方。若选择寄送硬盘,需承担运输费用,并向我方提供一块容量不低于250GB的全新未拆封硬盘。已压缩的处理后刺激素材大小约为200GB——这意味着几乎无法将其上传至Zenodo,且通过互联网传输耗时较长,具体时长取决于网络状况。 本次提供的脑电图(EEG)数据均已完成预处理,其余信息亦格式规整。具备基础MATLAB与Python编程能力,且掌握脑电图领域通用知识的研究者,可直接查阅文件获取试次相关信息。若在检索过程中遇到困难,请先仔细核查相关文件,或向身边的资深从业者求助;若仍无法解决,欢迎随时联系我们。 关于数据采集与预处理的更多细节,将在预印本上线后公开。 我们强烈推荐使用我们开发的Python工具包SuperHugeAAD与SuperPrepare,快速启动您的AAD分析流程。 部分受试者的脑电图(EEG)数据未予提供,留作他用。此类数据将在后续公开,目前任何情况下均无法获取。



