EEGDash/ds006095

---
pretty_name: "Mind in Motion Older Adults Walking Over Uneven Terrain"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- motor
size_categories:
- 1K<n<10K
task_categories:
- other
---

# Mind in Motion Older Adults Walking Over Uneven Terrain

**Dataset ID:** `ds006095`

_Liu2025_Mind_Motion_Older_

> **At a glance:** EEG · Motor motor · healthy · 71 subjects · 1182 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="ds006095", 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/ds006095")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 71 |
| **Recordings** | 1182 |
| **Tasks (count)** | 9 |
| **Channels** | 284 (×1053), 310 (×115), 336 (×14) |
| **Sampling rate (Hz)** | 500 (×1182) |
| **Total duration (h)** | 61.1 |
| **Size on disk** | 129.8 GB |
| **Recording type** | EEG |
| **Experimental modality** | Motor |
| **Paradigm type** | Motor |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds006095.v1.0.0](https://doi.org/10.18112/openneuro.ds006095.v1.0.0)
- **OpenNeuro:** [ds006095](https://openneuro.org/datasets/ds006095)
- **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/ds006095). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "行走于不平坦地形的老年群体心智运动数据集"
license: cc0-1.0
tags:
- 脑电图（EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
- 运动相关
size_categories:
- 1K<n<10K
task_categories:
- 其他

# 行走于不平坦地形的老年群体心智运动数据集

**数据集编号**：`ds006095`

_Liu2025_Mind_Motion_Older_

> **概览**：脑电图（EEG）、运动相关、健康人群、71名受试者、1182条记录、CC0许可

## 数据集加载方式

本仓库仅为**索引指针**。原始脑电图（EEG）数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式读取该数据集，并返回适配PyTorch / braindecode的数据集格式。

python
# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds006095", cache_dir="./cache")
print(len(ds), "recordings")

若该数据集已按照braindecode的Zarr格式镜像至Hugging Face Hub，亦可直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006095")

## 数据集元数据

| 元数据项 | 详情 |
|---|---|
| **受试者人数** | 71 |
| **有效记录数** | 1182 |
| **任务类型（数量）** | 9 |
| **电极通道数** | 284（×1053）、310（×115）、336（×14） |
| **采样率（Hz）** | 500（×1182） |
| **总时长（小时）** | 61.1 |
| **磁盘占用大小** | 129.8 GB |
| **记录类型** | 脑电图（EEG） |
| **实验模态** | 运动相关 |
| **实验范式类型** | 运动相关 |
| **受试人群** | 健康人群 |
| **数据来源** | OpenNeuro |
| **许可协议** | CC0 |

## 相关链接

- **数字对象标识符（DOI）**：[10.18112/openneuro.ds006095.v1.0.0](https://doi.org/10.18112/openneuro.ds006095.v1.0.0)
- **OpenNeuro平台链接**：[ds006095](https://openneuro.org/datasets/ds006095)
- **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/ds006095) 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` 脚本以更新元数据。