EEGDash/ds006317

---
pretty_name: "Chisco-2.0"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- unknown
- motor
size_categories:
- n<1K
task_categories:
- other
---

# Chisco-2.0

**Dataset ID:** `ds006317`

_Zhang2025_Chisco_2_0_

**Canonical aliases:** `Chisco2_0` · `Chisco20` · `CHISCO20`

> **At a glance:** EEG · Unknown motor · healthy · 2 subjects · 64 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="ds006317", 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 Chisco2_0
ds = Chisco2_0(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/ds006317")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 2 |
| **Recordings** | 64 |
| **Tasks (count)** | 2 |
| **Channels** | 127 (×64) |
| **Sampling rate (Hz)** | 1000 (×64) |
| **Total duration (h)** | 62.1 |
| **Size on disk** | 52.9 GB |
| **Recording type** | EEG |
| **Experimental modality** | Unknown |
| **Paradigm type** | Motor |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds006317.v1.1.0](https://doi.org/10.18112/openneuro.ds006317.v1.1.0)
- **OpenNeuro:** [ds006317](https://openneuro.org/datasets/ds006317)
- **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/ds006317). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "Chisco-2.0"
license: CC0 1.0通用公共领域授权
tags:
- 脑电图（EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
- 未知
- 运动相关
size_categories:
- 样本数<1000
task_categories:
- 其他

# Chisco-2.0

**数据集标识符:** `ds006317`

*Zhang等，2025，Chisco 2.0*

**标准别名:** `Chisco2_0` · `Chisco20` · `CHISCO20`

> 【概览】：脑电图（EEG）、未知运动范式、健康受试人群、2名受试者、64条记录、CC0许可证

## 加载本数据集

本仓库为**索引指针**，原始脑电图数据存储于其官方数据源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载并返回PyTorch / braindecode格式的数据集。

python
# 安装eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds006317", cache_dir="./cache")
print(len(ds), "recordings")

你也可以通过标准别名加载本数据集——这些类已在`eegdash.dataset`中完成注册：

python
from eegdash.dataset import Chisco2_0
ds = Chisco2_0(cache_dir="./cache")

若数据集已按照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/ds006317")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 2 |
| **记录条数** | 64 |
| **任务类型（数量）** | 2 |
| **通道数** | 127 (×64) |
| **采样率（Hz）** | 1000 (×64) |
| **总时长（小时）** | 62.1 |
| **磁盘占用** | 52.9 GB |
| **记录类型** | 脑电图（EEG） |
| **实验模态** | 未知 |
| **范式类型** | 运动相关 |
| **受试人群** | 健康人群 |
| **数据来源** | OpenNeuro |
| **许可证** | CC0 |

## 相关链接

- **DOI:** [10.18112/openneuro.ds006317.v1.1.0](https://doi.org/10.18112/openneuro.ds006317.v1.1.0)
- **OpenNeuro:** [ds006317](https://openneuro.org/datasets/ds006317)
- **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/ds006317)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。*