EEGDash/nm000272

romani-bf2025-erp - NEMAR数据集是一个用于脑电图（EEG）研究的数据集，专注于视觉注意力的实验范式。数据集包含22名受试者的1022条记录，每条记录有8个通道，采样率为250Hz，总时长为6.3小时。数据集的任务类别为other，大小类别为1K<n<10K。数据集可以通过EEGDash工具加载，支持PyTorch和braindecode格式。实验模态为视觉，范式类型为注意力，但部分信息如许可证、人口统计等未知。

The romani-bf2025-erp - NEMAR Dataset is a dataset for EEG (electroencephalography) research, focusing on visual attention paradigms. It includes 1022 recordings from 22 subjects, each with 8 channels and a sampling rate of 250Hz, totaling 6.3 hours. The dataset falls under the other task category and the 1K<n<10K size category. It can be loaded via the EEGDash tool, supporting PyTorch and braindecode formats. The experimental modality is visual, and the paradigm type is attention, though some details like license and population statistics are unknown.