EEGDash/nm000170

BNCI 2025-002连续2D轨迹解码数据集是一个用于视觉运动解码研究的脑电图（EEG）数据集。数据集包含10名受试者的90次记录，每次记录包含60个通道，采样率为200Hz，总时长为28.2小时，磁盘占用空间为3.4GB。数据集采用CC-BY-4.0许可，可以通过EEGDash工具加载，支持PyTorch和braindecode框架。数据集的主要应用领域包括脑机接口（BCI）、神经科学等。The BNCI 2025-002 Continuous 2D Trajectory Decoding dataset is an EEG dataset designed for visual motor decoding research. It includes 90 recordings from 10 subjects, each with 60 channels sampled at 200Hz, totaling 28.2 hours of data and occupying 3.4GB of disk space. The dataset is licensed under CC-BY-4.0 and can be loaded via the EEGDash tool, supporting PyTorch and braindecode frameworks. Its primary application areas include brain-computer interface (BCI) and neuroscience.