EEGDash/nm000137

---
pretty_name: "Classical motor imagery dataset with left hand, right hand, and rest"
license: cc-by-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- motor
size_categories:
- n<1K
task_categories:
- other
---

# Classical motor imagery dataset with left hand, right hand, and rest

**Dataset ID:** `nm000137`

_Kaya2018_

> **At a glance:** EEG · Visual motor · healthy · 7 subjects · 17 recordings · CC-BY-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="nm000137", 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/nm000137")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 7 |
| **Recordings** | 17 |
| **Tasks (count)** | 1 |
| **Channels** | 19 (×17) |
| **Sampling rate (Hz)** | 200 (×17) |
| **Total duration (h)** | 15.7 |
| **Size on disk** | 623.4 MB |
| **Recording type** | EEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Motor |
| **Population** | Healthy |
| **Source** | nemar |
| **License** | CC-BY-4.0 |

## Links

- **NEMAR:** [nm000137](https://nemar.org/dataexplorer/detail?dataset_id=nm000137)
- **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/nm000137). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
pretty_name: "左手、右手与静息态经典运动想象数据集"
license: cc-by-4.0
tags:
- 脑电图（EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
- 视觉
- 运动
size_categories:
- 样本量<1000
task_categories:
- 其他
---

# 左手、右手与静息态经典运动想象数据集

**数据集编号：** `nm000137`

*Kaya等人2018年研究*

> **概览：** 脑电图（EEG）、视觉运动范式、健康受试者、7名受试者、17份记录、CC-BY-4.0许可证

## 加载此数据集

本仓库仅为**索引指针**。原始脑电图（EEG）数据存储于其标准来源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取该数据集，并返回适配PyTorch与braindecode的数据集格式。

python
# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="nm000137", cache_dir="./cache")
print(len(ds), "recordings")

若该数据集已以braindecode的Zarr格式镜像至Hugging Face Hub（HF Hub），亦可直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/nm000137")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 7 |
| **记录份数** | 17 |
| **任务类型（数量）** | 1 |
| **电极通道数** | 19（共17份记录） |
| **采样率（Hz）** | 200（共17份记录） |
| **总时长（小时）** | 15.7 |
| **磁盘占用空间** | 623.4 MB |
| **记录类型** | 脑电图（EEG） |
| **实验模态** | 视觉 |
| **范式类型** | 运动 |
| **受试人群** | 健康人群 |
| **数据来源** | NEMAR |
| **许可证** | CC-BY-4.0 |

## 相关链接

- **NEMAR平台：** [nm000137](https://nemar.org/dataexplorer/detail?dataset_id=nm000137)
- **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/nm000137) 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` 以完成更新。*