EEGDash/ds007463

---
pretty_name: "Very-High-Density Diffuse Optical Tomography System Validation Dataset"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- perception
size_categories:
- n<1K
task_categories:
- other
---

# Very-High-Density Diffuse Optical Tomography System Validation Dataset

**Dataset ID:** `ds007463`

_Fogarty2026_Very_

**Canonical aliases:** `Fogarty2025`

> **At a glance:** FNIRS · Visual perception · healthy · 8 subjects · 88 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="ds007463", cache_dir="./cache")
print(len(ds), "recordings")
```

You can also load it by canonical alias — these are registered classes in `eegdash.dataset`:

```python
from eegdash.dataset import Fogarty2025
ds = Fogarty2025(cache_dir="./cache")
```

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/ds007463")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 8 |
| **Recordings** | 88 |
| **Tasks (count)** | 14 |
| **Channels** | 19086 (×14), 19426 (×11), 21518 (×11), 19620 (×11), 19528 (×11), 19908 (×10), 20218 (×10), 20874 (×10) |
| **Sampling rate (Hz)** | 7.8125 (×88) |
| **Total duration (h)** | 18.9 |
| **Size on disk** | 69.3 GB |
| **Recording type** | FNIRS |
| **Experimental modality** | Visual |
| **Paradigm type** | Perception |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds007463.v1.1.1](https://doi.org/10.18112/openneuro.ds007463.v1.1.1)
- **OpenNeuro:** [ds007463](https://openneuro.org/datasets/ds007463)
- **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/ds007463). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "超高密度漫射光学层析成像系统验证数据集"
license: cc0-1.0
tags:
- 脑电图（Electroencephalogram, EEG）
- 神经科学
- EEGDash
- 脑机接口
- PyTorch
- 视觉
- 感知
size_categories:
- 样本量小于1000
task_categories:
- 其他任务类别

# 超高密度漫射光学层析成像系统验证数据集

**数据集ID:** `ds007463`

_Fogarty2026_Very_

**规范别名:** `Fogarty2025`

> **概览:** 功能性近红外光谱（FNIRS） · 视觉感知 · 健康受试者 · 8名受试者 · 88次记录 · CC0

## 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规范数据源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式传输该数据并返回PyTorch / braindecode格式的数据集。

python
# 安装eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds007463", cache_dir="./cache")
print(len(ds), "次记录")

您也可以通过规范别名加载该数据集 —— 这些是`eegdash.dataset`中已注册的类：

python
from eegdash.dataset import Fogarty2025
ds = Fogarty2025(cache_dir="./cache")

若该数据集已按照braindecode的Zarr布局镜像至Hugging Face Hub，您也可以直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds007463")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 8 |
| **记录次数** | 88 |
| **任务（计数）** | 14 |
| **通道数** | 19086（×14）、19426（×11）、21518（×11）、19620（×11）、19528（×11）、19908（×10）、20218（×10）、20874（×10） |
| **采样率（赫兹）** | 7.8125（×88） |
| **总时长（小时）** | 18.9 |
| **磁盘占用大小** | 69.3 GB |
| **记录类型** | 功能性近红外光谱（FNIRS） |
| **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 |
| **授权协议** | CC0 |

## 相关链接

- **DOI:** [10.18112/openneuro.ds007463.v1.1.1](https://doi.org/10.18112/openneuro.ds007463.v1.1.1)
- **OpenNeuro平台:** [ds007463](https://openneuro.org/datasets/ds007463)
- **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>
- **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/ds007463) 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`。