EEGDash/ds006222

--- pretty_name: "MultisensoryFlickerHealthyYoungAdults_AllSubjectsRawData" license: cc0-1.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - multisensory - attention size_categories: - n<1K task_categories: - other --- # MultisensoryFlickerHealthyYoungAdults_AllSubjectsRawData **Dataset ID:** `ds006222` _Attokaren2025_ > **At a glance:** EEG · Multisensory attention · healthy · 69 subjects · 70 recordings · CC0 ## Load this dataset This repo is a **pointer**. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); [EEGDash](https://github.com/eegdash/EEGDash) streams it on demand and returns a PyTorch / braindecode dataset. ```python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds006222", cache_dir="./cache") print(len(ds), "recordings") ``` If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly: ```python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006222") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 69 | | **Recordings** | 70 | | **Tasks (count)** | 1 | | **Channels** | 40 (×70) | | **Sampling rate (Hz)** | 512 (×70) | | **Total duration (h)** | 52.8 | | **Size on disk** | 14.7 GB | | **Recording type** | EEG | | **Experimental modality** | Multisensory | | **Paradigm type** | Attention | | **Population** | Healthy | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds006222.v1.0.1](https://doi.org/10.18112/openneuro.ds006222.v1.0.1) - **OpenNeuro:** [ds006222](https://openneuro.org/datasets/ds006222) - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) - **Docs:** <https://eegdash.org> - **Code:** <https://github.com/eegdash/EEGDash> --- _Auto-generated from [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) and the [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds006222). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._--- pretty_name: "健康青年成人多感官闪烁实验全受试者原始数据集（MultisensoryFlickerHealthyYoungAdults_AllSubjectsRawData）" license: "CC0 1.0通用公共领域授权" tags: - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口（brain-computer-interface） - PyTorch - 多感官 - 注意 size_categories: - 样本量少于1000 task_categories: - 其他 --- # 健康青年成人多感官闪烁实验全受试者原始数据集 **数据集编号**：`ds006222` *Attokaren等人，2025年* > **概览**：脑电图（EEG）·多感官注意·健康人群·69名受试者·70次记录·CC0授权 ## 加载此数据集 本仓库仅为**索引指针**。原始脑电图（EEG）数据存储于其标准源地址（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取该数据，并返回 PyTorch / braindecode 格式的数据集。 python # pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds006222", cache_dir="./cache") print(len(ds), "recordings") 若该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub，你也可以直接拉取： python from braindecode.datasets import BaseConcatDataset ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006222") ## 数据集元数据 | | | |---|---| | **受试者数量** | 69 | | **记录次数** | 70 | | **任务数** | 1 | | **通道数** | 40（共70次记录） | | **采样率（赫兹）** | 512（共70次记录） | | **总时长（小时）** | 52.8 | | **磁盘占用** | 14.7 GB | | **记录类型** | 脑电图（EEG） | | **实验模态** | 多感官 | | **范式类型** | 注意 | | **研究人群** | 健康人群 | | **数据来源** | OpenNeuro | | **许可证** | CC0 | ## 相关链接 - **DOI**：[10.18112/openneuro.ds006222.v1.0.1](https://doi.org/10.18112/openneuro.ds006222.v1.0.1) - **OpenNeuro**：[ds006222](https://openneuro.org/datasets/ds006222) - **浏览700+数据集**：[EEGDash 数据集目录](https://huggingface.co/spaces/EEGDash/catalog) - **官方文档**：<https://eegdash.org> - **源代码**：<https://github.com/eegdash/EEGDash> --- *本文件由 [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) 与 [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds006222) 自动生成。请勿手动编辑此文件 —— 请更新上游源数据并重新运行 `scripts/push_metadata_stubs.py` 脚本。*