EEGDash/ds005841

---
pretty_name: "EEG Experiment measuring ERPs in VR"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- perception
size_categories:
- n<1K
task_categories:
- other
---

# EEG Experiment measuring ERPs in VR

**Dataset ID:** `ds005841`

_Karakashevska2025_

> **At a glance:** EEG · Visual perception · healthy · 48 subjects · 288 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="ds005841", 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/ds005841")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 48 |
| **Recordings** | 288 |
| **Tasks (count)** | 6 |
| **Channels** | 73 (×1) |
| **Sampling rate (Hz)** | 512 (×288) |
| **Total duration (h)** | 21.6 |
| **Size on disk** | 7.3 GB |
| **Recording type** | EEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Perception |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds005841.v1.0.0](https://doi.org/10.18112/openneuro.ds005841.v1.0.0)
- **OpenNeuro:** [ds005841](https://openneuro.org/datasets/ds005841)
- **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/ds005841). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
显示名称: "虚拟现实中事件相关电位（Event-Related Potentials, ERP）测量的脑电图实验"
许可证: cc0-1.0
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
规模类别:
- 样本量少于1000
任务类别:
- 其他
---

# 虚拟现实中事件相关电位（ERP）测量的脑电图实验

**数据集编号:** `ds005841`

_Karakashevska 2025_

> **概览:** EEG · 视觉感知 · 健康人群 · 48名被试 · 288条记录 · CC0

## 加载该数据集

本仓库为**索引指针**。原始脑电图数据存储于其官方源地址（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据，并返回适配PyTorch / braindecode的数据集对象。

python
# 安装eegdash库
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005841", cache_dir="./cache")
print(len(ds), "条记录")

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

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005841")

## 数据集元数据

| | |
|---|---|
| **被试数量** | 48 |
| **记录条数** | 288 |
| **任务（数量）** | 6 |
| **电极通道数** | 73（×1） |
| **采样率（Hz）** | 512（×288） |
| **总时长（小时）** | 21.6 |
| **磁盘占用大小** | 7.3 GB |
| **记录类型** | EEG |
| **实验模态** | 视觉 |
| **范式类型** | 感知 |
| **研究人群** | 健康人群 |
| **数据来源** | OpenNeuro |
| **许可证** | CC0 |

## 相关链接

- **DOI:** [10.18112/openneuro.ds005841.v1.0.0](https://doi.org/10.18112/openneuro.ds005841.v1.0.0)
- **OpenNeuro:** [ds005841](https://openneuro.org/datasets/ds005841)
- 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) 与 [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds005841) 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。_