EEGDash/ds005508

--- pretty_name: "Healthy Brain Network (HBN) EEG - Release 4" license: cc-by-sa-4.0 tags: - eeg - neuroscience - eegdash - brain-computer-interface - pytorch - visual - clinical-intervention - development size_categories: - 1K<n<10K task_categories: - other --- # Healthy Brain Network (HBN) EEG - Release 4 **Dataset ID:** `ds005508` _Shirazi2024_R4_ **Canonical aliases:** `HBN_r4` > **At a glance:** EEG · Visual clinical/intervention · development · 324 subjects · 3342 recordings · CC-BY-SA 4.0 ## 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="ds005508", cache_dir="./cache") print(len(ds), "recordings") ``` You can also load it by canonical alias — these are registered classes in `eegdash.dataset`: ```python from eegdash.dataset import HBN_r4 ds = HBN_r4(cache_dir="./cache") ``` 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/ds005508") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 324 | | **Recordings** | 3342 | | **Tasks (count)** | 10 | | **Channels** | 129 (×3342) | | **Sampling rate (Hz)** | 500 (×3342) | | **Total duration (h)** | 261.8 | | **Size on disk** | 229.8 GB | | **Recording type** | EEG | | **Experimental modality** | Visual | | **Paradigm type** | Clinical/Intervention | | **Population** | Development | | **Source** | openneuro | | **License** | CC-BY-SA 4.0 | | **NEMAR citations** | 1.0 | ## Links - **DOI:** [10.18112/openneuro.ds005508.v1.0.1](https://doi.org/10.18112/openneuro.ds005508.v1.0.1) - **OpenNeuro:** [ds005508](https://openneuro.org/datasets/ds005508) - **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/ds005508). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._**数据集展示名**：健康大脑网络（Healthy Brain Network, HBN）脑电图（EEG）数据集——第4版 **授权协议**：CC BY-SA 4.0 **标签**： - 脑电图（EEG） - 神经科学 - EEGDash - 脑机接口 - PyTorch - 视觉研究 - 临床干预 - 发育研究 **数据规模分类**：1000 < 样本量 < 10000 **任务分类**：其他 # 健康大脑网络（Healthy Brain Network, HBN）脑电图（EEG）数据集——第4版 **数据集标识符**：`ds005508` *Shirazi2024_R4* **标准别名**：`HBN_r4` > **概览**：脑电图（EEG）·视觉临床/干预研究·发育队列·324名受试者·3342条记录·CC-BY-SA 4.0协议 ## 加载此数据集 本仓库仅为**索引指针**。原始脑电图数据存储于其官方数据源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 支持按需流式读取数据，并返回PyTorch / braindecode格式的数据集。 python # 安装依赖：pip install eegdash from eegdash import EEGDashDataset ds = EEGDashDataset(dataset="ds005508", cache_dir="./cache") print(len(ds), "recordings") 你也可以通过标准别名加载数据集——这些类已在`eegdash.dataset`中完成注册： python from eegdash.dataset import HBN_r4 ds = HBN_r4(cache_dir="./cache") 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/ds005508") ## 数据集元数据 | 元数据项 | 详情 | |---|---| | **受试者数量** | 324 | | **记录条数** | 3342 | | **任务（数量）** | 10 | | **通道数** | 129（共3342条记录） | | **采样率（Hz）** | 500（共3342条记录） | | **总时长（h）** | 261.8 | | **磁盘占用容量** | 229.8 GB | | **记录类型** | 脑电图（EEG） | | **实验模态** | 视觉 | | **实验范式类型** | 临床/干预 | | **研究人群** | 发育人群 | | **数据来源** | OpenNeuro | | **授权协议** | CC-BY-SA 4.0 | | **NEMAR引用量** | 1.0 | ## 相关链接 - **DOI**：[10.18112/openneuro.ds005508.v1.0.1](https://doi.org/10.18112/openneuro.ds005508.v1.0.1) - **OpenNeuro平台**：[ds005508](https://openneuro.org/datasets/ds005508) - **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> - **代码仓库**：<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/ds005508)自动生成。请勿手动编辑此文件，请更新上游数据源后重新运行`scripts/push_metadata_stubs.py`。*