EEGDash/ds005516

---
pretty_name: "Healthy Brain Network (HBN) EEG - Release 11"
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 11

**Dataset ID:** `ds005516`

_Shirazi2024_R11_

**Canonical aliases:** `HBN_r11`

> **At a glance:** EEG · Visual clinical/intervention · development · 430 subjects · 3397 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="ds005516", 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_r11
ds = HBN_r11(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/ds005516")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 430 |
| **Recordings** | 3397 |
| **Tasks (count)** | 8 |
| **Channels** | 129 (×3397) |
| **Sampling rate (Hz)** | 500 (×3397) |
| **Total duration (h)** | 250.5 |
| **Size on disk** | 219.2 GB |
| **Recording type** | EEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Clinical/Intervention |
| **Population** | Development |
| **Source** | openneuro |
| **License** | CC-BY-SA 4.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005516.v1.0.1](https://doi.org/10.18112/openneuro.ds005516.v1.0.1)
- **OpenNeuro:** [ds005516](https://openneuro.org/datasets/ds005516)
- **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/ds005516). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
pretty_name: "健康脑网络（Healthy Brain Network, HBN）脑电图数据集——第11版"
license: 知识共享署名-相同方式共享4.0（CC-BY-SA 4.0）
tags:
- 脑电图（electroencephalogram, EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
- 视觉
- 临床干预
- 发育科学
size_categories:
- 1K<n<10K
task_categories:
- 其他
---

# 健康脑网络（HBN）脑电图数据集——第11版

**数据集ID:** `ds005516`

_Shirazi2024_R11_

**标准别名:** `HBN_r11`

> **快速概览:** EEG · 视觉临床/干预 · 发育队列 · 430名受试者 · 3397条记录 · CC-BY-SA 4.0

## 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源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载并返回PyTorch / braindecode格式数据集。

python
# 安装eegdash库
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005516", cache_dir="./cache")
print(len(ds), "条记录")

你也可以通过标准别名加载——这些别名已在`eegdash.dataset`中注册为类：

python
from eegdash.dataset import HBN_r11
ds = HBN_r11(cache_dir="./cache")

若该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub（HF Hub），你也可以直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005516")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 430 |
| **记录条数** | 3397 |
| **任务（数量）** | 8 |
| **通道数** | 129（共3397条记录） |
| **采样率（赫兹）** | 500（每条记录均为该采样率） |
| **总时长（小时）** | 250.5 |
| **磁盘占用** | 219.2 GB |
| **记录类型** | EEG |
| **实验模态** | 视觉 |
| **范式类型** | 临床/干预 |
| **研究人群** | 发育队列 |
| **数据来源** | openneuro |
| **授权协议** | CC-BY-SA 4.0 |

## 相关链接

- **DOI:** [10.18112/openneuro.ds005516.v1.0.1](https://doi.org/10.18112/openneuro.ds005516.v1.0.1)
- **OpenNeuro:** [ds005516](https://openneuro.org/datasets/ds005516)
- **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/ds005516)自动生成，请勿手动编辑此文件——请更新上游数据源并重新运行`scripts/push_metadata_stubs.py`以完成更新。_