EEGDash/ds005628

---
pretty_name: "Dataset of Visual and Audiovisual Stimuli in Virtual Reality from the Edzna Archaeological Site"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- multisensory
- attention
size_categories:
- n<1K
task_categories:
- other
---

# Dataset of Visual and Audiovisual Stimuli in Virtual Reality from the Edzna Archaeological Site

**Dataset ID:** `ds005628`

_RosadoAiza2024_

> **At a glance:** EEG · Multisensory attention · healthy · 102 subjects · 306 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="ds005628", 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/ds005628")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 102 |
| **Recordings** | 306 |
| **Tasks (count)** | 1 |
| **Channels** | 8 (×306) |
| **Sampling rate (Hz)** | 250 (×306) |
| **Total duration (h)** | 21.0 |
| **Size on disk** | 633.7 MB |
| **Recording type** | EEG |
| **Experimental modality** | Multisensory |
| **Paradigm type** | Attention |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds005628.v1.0.0](https://doi.org/10.18112/openneuro.ds005628.v1.0.0)
- **OpenNeuro:** [ds005628](https://openneuro.org/datasets/ds005628)
- **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/ds005628). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "来自埃德兹纳考古遗址的虚拟现实视觉与视听刺激数据集"
license: "cc0-1.0"
tags:
- "eeg（脑电图，Electroencephalogram）"
- "neuroscience（神经科学）"
- "eegdash"
- "brain-computer-interface（脑机接口）"
- "pytorch"
- "multisensory（多感官）"
- "attention（注意力）"
size_categories:
- "n<1K（记录数少于1000条）"
task_categories:
- "other（其他）"

# 来自埃德兹纳考古遗址的虚拟现实视觉与视听刺激数据集

**数据集ID：** `ds005628`

_RosadoAiza，2024年_

> **概览：** 脑电图（EEG）·多感官注意力·健康受试人群·102名受试者·306条记录·CC0协议

## 数据集加载方式

本仓库为**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) 可按需流式加载该数据集，并返回适配PyTorch / braindecode的数据集格式。

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

ds = EEGDashDataset(dataset="ds005628", 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），则可直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005628")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 102 |
| **记录条数** | 306 |
| **任务（数量）** | 1 |
| **通道数** | 8（×306） |
| **采样率（Hz）** | 250（×306） |
| **总时长（小时）** | 21.0 |
| **磁盘占用大小** | 633.7 MB |
| **记录类型** | 脑电图（EEG） |
| **实验模态** | 多感官 |
| **实验范式类型** | 注意力 |
| **受试人群** | 健康人群 |
| **数据来源** | OpenNeuro |
| **授权协议** | CC0 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds005628.v1.0.0](https://doi.org/10.18112/openneuro.ds005628.v1.0.0)
- **OpenNeuro：** [ds005628](https://openneuro.org/datasets/ds005628)
- **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 API](https://data.eegdash.org/api/eegdash/datasets/summary/ds005628)自动生成。请勿手动编辑本文件——请更新上游数据源并重新运行`scripts/push_metadata_stubs.py`脚本以更新元数据。_