EEGDash/ds005342

---
pretty_name: "EEG data offline and online during motor imagery for standing and sitting"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
---

# EEG data offline and online during motor imagery for standing and sitting

**Dataset ID:** `ds005342`

_TrianaGuzman2024_

> **At a glance:** EEG · 32 subjects · 32 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="ds005342", 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/ds005342")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 32 |
| **Recordings** | 32 |
| **Tasks (count)** | 1 |
| **Channels** | 17 (×32) |
| **Sampling rate (Hz)** | 250 (×32) |
| **Total duration (h)** | 33.0 |
| **Size on disk** | 2.0 GB |
| **Recording type** | EEG |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 1.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005342.v1.0.3](https://doi.org/10.18112/openneuro.ds005342.v1.0.3)
- **OpenNeuro:** [ds005342](https://openneuro.org/datasets/ds005342)
- **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/ds005342). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "用于站立与坐姿运动想象的离线及在线脑电（EEG）数据集"
license: CC0 1.0
tags:
- 脑电（EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
size_categories:
- 样本量小于1000
task_categories:
- 其他

# 用于站立与坐姿运动想象的离线及在线脑电（EEG）数据集

**数据集编号：** `ds005342`

_TrianaGuzman等人，2024_

> **概览：** 脑电（EEG） · 32名受试者 · 32次记录 · CC0协议

## 加载该数据集

本仓库仅为**索引指针**。原始脑电（EEG）数据存储于其标准源地址（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据，并返回PyTorch / braindecode格式的数据集。

python
# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005342", 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/ds005342")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 32 |
| **记录次数** | 32 |
| **任务（数量）** | 1 |
| **通道数** | 17（×32） |
| **采样率（Hz）** | 250（×32） |
| **总时长（小时）** | 33.0 |
| **磁盘占用大小** | 2.0 GB |
| **记录类型** | 脑电（EEG） |
| **数据来源** | OpenNeuro |
| **许可协议** | CC0 1.0 |
| **NEMAR引用量** | 1.0 |

## 相关链接

- **数字对象标识符（DOI）：** [10.18112/openneuro.ds005342.v1.0.3](https://doi.org/10.18112/openneuro.ds005342.v1.0.3)
- **OpenNeuro平台：** [ds005342](https://openneuro.org/datasets/ds005342)
- **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>

---

_本内容由 [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) 与 [EEGDash 应用程序编程接口（API）](https://data.eegdash.org/api/eegdash/datasets/summary/ds005342) 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` 脚本以更新内容。_