EEGDash/ds005291

---
pretty_name: "65 By ANT"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- tactile
- perception
size_categories:
- n<1K
task_categories:
- other
---

# 65 By ANT

**Dataset ID:** `ds005291`

_Xiangyue2024_65_ANT_

> **At a glance:** EEG · Tactile perception · healthy · 65 subjects · 65 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="ds005291", 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/ds005291")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 65 |
| **Recordings** | 65 |
| **Tasks (count)** | 1 |
| **Channels** | 32 (×65) |
| **Sampling rate (Hz)** | 1000 (×65) |
| **Total duration (h)** | 47.7 |
| **Size on disk** | 20.5 GB |
| **Recording type** | EEG |
| **Experimental modality** | Tactile |
| **Paradigm type** | Perception |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds005291.v1.0.0](https://doi.org/10.18112/openneuro.ds005291.v1.0.0)
- **OpenNeuro:** [ds005291](https://openneuro.org/datasets/ds005291)
- **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/ds005291). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
pretty_name: "65 By ANT"
license: "CC0 1.0 协议"
tags:
- 脑电图(EEG)
- 神经科学(Neuroscience)
- EEGDash
- 脑机接口(Brain-Computer Interface)
- PyTorch
- 触觉(Tactile)
- 感知(Perception)
size_categories:
- 样本数少于1000
task_categories:
- 其他
---

# 65 By ANT

**数据集编号：** `ds005291`

_Xiangyue2024_65_ANT_

> **概览：** 脑电图(EEG) · 触觉感知 · 健康人群 · 65名被试 · 65条记录 · CC0 1.0 协议

## 加载此数据集

本仓库为**索引指针**。原始脑电图(EEG)数据存储于其标准源地址（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据并返回PyTorch / braindecode格式的数据集。

python
# 安装eegdash库
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005291", 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），你也可以直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005291")

## 数据集元数据

| 元数据项 | 详情 |
|---|---|
| **被试数量** | 65 |
| **记录条数** | 65 |
| **任务数** | 1 |
| **通道数** | 32（共65组） |
| **采样率（Hz）** | 1000（共65组） |
| **总时长（小时）** | 47.7 |
| **磁盘占用** | 20.5 GB |
| **记录类型** | 脑电图(EEG) |
| **实验模态** | 触觉(Tactile) |
| **范式类型** | 感知(Perception) |
| **人群特征** | 健康人群 |
| **数据来源** | OpenNeuro |
| **许可协议** | CC0 1.0 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds005291.v1.0.0](https://doi.org/10.18112/openneuro.ds005291.v1.0.0)
- **OpenNeuro平台地址：** [ds005291](https://openneuro.org/datasets/ds005291)
- **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/ds005291)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`脚本以更新内容。