EEGDash/nm000122

---
pretty_name: "Chen2017 – Single-flicker online SSVEP BCI dataset"
license: cc-by-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- perception
size_categories:
- n<1K
task_categories:
- other
---

# Chen2017 – Single-flicker online SSVEP BCI dataset

**Dataset ID:** `nm000122`

_Chen2017_

> **At a glance:** EEG · Visual perception · healthy · 12 subjects · 12 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="nm000122", 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/nm000122")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 12 |
| **Recordings** | 12 |
| **Tasks (count)** | 1 |
| **Channels** | 32 (×12) |
| **Sampling rate (Hz)** | 512 (×12) |
| **Total duration (h)** | 3.3 |
| **Size on disk** | 741.9 MB |
| **Recording type** | EEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Perception |
| **Population** | Healthy |
| **Source** | nemar |
| **License** | CC BY 4.0 |

## Links

- **NEMAR:** [nm000122](https://nemar.org/dataexplorer/detail?dataset_id=nm000122)
- **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/nm000122). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
数据集显示名："Chen2017 – 单闪烁在线稳态视觉诱发电位（Steady-State Visual Evoked Potential，SSVEP）脑机接口（Brain-Computer Interface，BCI）数据集"
许可证：CC BY 4.0
标签：
- 脑电图（electroencephalogram，EEG）
- 神经科学
- EEGDash
- 脑机接口（Brain-Computer Interface，BCI）
- PyTorch
- 视觉
- 感知
样本量类别：
- 少于1000条
任务类别：
- 其他
---

# Chen2017 – 单闪烁在线稳态视觉诱发电位脑机接口数据集

**数据集ID：** `nm000122`

_Chen2017_

> **概览：** 脑电图 · 视觉感知 · 健康受试者 · 12名受试者 · 12次记录 · CC BY 4.0

## 加载此数据集

本仓库为**指针仓库**。原始脑电图数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取并返回 PyTorch / braindecode 数据集。

python
# 安装依赖：pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="nm000122", cache_dir="./cache")
print(len(ds), "条记录")

如果该数据集已以braindecode的Zarr格式镜像至Hugging Face Hub，也可直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/nm000122")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 12 |
| **记录次数** | 12 |
| **任务（数量）** | 1 |
| **通道数** | 32（共12次记录） |
| **采样率（赫兹）** | 512（共12次记录） |
| **总时长（小时）** | 3.3 |
| **磁盘占用大小** | 741.9 MB |
| **记录类型** | 脑电图 |
| **实验模态** | 视觉 |
| **范式类型** | 感知 |
| **人群属性** | 健康人群 |
| **数据来源** | NEMAR |
| **许可证** | CC BY 4.0 |

## 相关链接

- **NEMAR：** [nm000122](https://nemar.org/dataexplorer/detail?dataset_id=nm000122)
- **浏览700+数据集：** [EEGDash 数据集目录](https://huggingface.co/spaces/EEGDash/catalog)
- **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) 及 [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/nm000122) 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`。