EEGDash/ds007526

---
pretty_name: "PD-EEG: Resting-State & Walking EEG in Parkinson's Disease"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- motor
- clinical-intervention
- parkinson's
size_categories:
- n<1K
task_categories:
- other
---

# PD-EEG: Resting-State & Walking EEG in Parkinson's Disease

**Dataset ID:** `ds007526`

_Katzir2026_

**Canonical aliases:** `PD_EEG` · `PDEEG`

> **At a glance:** EEG · Motor clinical/intervention · parkinson's · 144 subjects · 277 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="ds007526", 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 PD_EEG
ds = PD_EEG(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/ds007526")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 144 |
| **Recordings** | 277 |
| **Tasks (count)** | 2 |
| **Channels** | 65 (×277) |
| **Sampling rate (Hz)** | 250 (×277) |
| **Total duration (h)** | 19.5 |
| **Size on disk** | 4.3 GB |
| **Recording type** | EEG |
| **Experimental modality** | Motor |
| **Paradigm type** | Clinical/Intervention |
| **Population** | Parkinson's |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds007526.v1.0.0](https://doi.org/10.18112/openneuro.ds007526.v1.0.0)
- **OpenNeuro:** [ds007526](https://openneuro.org/datasets/ds007526)
- **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/ds007526). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
pretty_name: "PD-EEG：帕金森病患者静息态与行走状态脑电图(Electroencephalogram, EEG)数据集"
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
- PyTorch
- 运动相关
- 临床干预
- 帕金森病
size_categories:
- 样本量小于1000
task_categories:
- 其他
---

# PD-EEG：帕金森病患者静息态与行走状态脑电图数据集

**数据集编号：** `ds007526`

_Katzir等人，2026年_

**标准别名：** `PD_EEG` · `PDEEG`

> **快速概览：** 脑电图(EEG)、运动相关临床/干预研究、帕金森病、144名受试者、277条记录、CC0许可证

## 数据集加载

本仓库仅为**索引指针**，原始脑电图(EEG)数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 支持按需流式加载并返回PyTorch / Braindecode格式的数据集。

python
# 安装eegdash库
pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds007526", cache_dir="./cache")
print(len(ds), "条记录")

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 PD_EEG
ds = PD_EEG(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/ds007526")

## 数据集元数据

| 元数据项 | 内容 |
|---|---|
| **受试者人数** | 144 |
| **记录条数** | 277 |
| **任务类型（数量）** | 2 |
| **通道数** | 65条（共277条记录） |
| **采样率（赫兹）** | 250Hz（共277条记录） |
| **总时长（小时）** | 19.5 |
| **磁盘占用空间** | 4.3 GB |
| **记录类型** | 脑电图(EEG) |
| **实验模态** | 运动相关 |
| **范式类型** | 临床/干预研究 |
| **研究人群** | 帕金森病患者 |
| **数据来源** | OpenNeuro |
| **许可证** | CC0 1.0通用公共领域授权 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds007526.v1.0.0](https://doi.org/10.18112/openneuro.ds007526.v1.0.0)
- **OpenNeuro平台链接：** [ds007526](https://openneuro.org/datasets/ds007526)
- **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/ds007526)自动生成。请勿手动编辑本文件，请更新上游数据源后重新运行`scripts/push_metadata_stubs.py`脚本以更新本文件。