EEGDash/ds005114

---
pretty_name: "EEG: DPX Cog Ctl Task in Acute Mild TBI"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
---

# EEG: DPX Cog Ctl Task in Acute Mild TBI

**Dataset ID:** `ds005114`

_Cavanagh2024_

> **At a glance:** EEG · 91 subjects · 223 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="ds005114", 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/ds005114")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 91 |
| **Recordings** | 223 |
| **Tasks (count)** | 1 |
| **Channels** | 65 (×217), 64 (×6) |
| **Sampling rate (Hz)** | 500 (×223) |
| **Total duration (h)** | 125.7 |
| **Size on disk** | 55.9 GB |
| **Recording type** | EEG |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 0.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005114.v1.0.0](https://doi.org/10.18112/openneuro.ds005114.v1.0.0)
- **OpenNeuro:** [ds005114](https://openneuro.org/datasets/ds005114)
- **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/ds005114). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "脑电图（EEG）：急性轻度创伤性脑损伤中的DPX认知控制任务"
license: cc0-1.0
tags:
- 脑电图（EEG）
- 神经科学（neuroscience）
- eegdash
- 脑机接口（brain-computer-interface）
- PyTorch（pytorch）
size_categories:
- n<1K
task_categories:
- other

# 脑电图（EEG）：急性轻度创伤性脑损伤中的DPX认知控制任务

**数据集编号：** `ds005114`

_卡瓦纳等，2024年_

> **概览：** 脑电图（EEG）· 91名受试者 · 223条记录 · CC0协议

## 加载该数据集

本仓库为**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) 支持按需流式加载并返回PyTorch / braindecode格式的数据集。

python
# 安装eegdash库
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005114", cache_dir="./cache")
print(len(ds), "recordings")

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

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005114")

## 数据集元数据

| 指标 | 详情 |
|---|---|
| **受试者数量** | 91 |
| **记录条数** | 223 |
| **任务数量** | 1 |
| **通道数** | 65（×217）、64（×6） |
| **采样率（Hz）** | 500（×223） |
| **总时长（小时）** | 125.7 |
| **磁盘占用空间** | 55.9 GB |
| **记录类型** | 脑电图（EEG） |
| **数据来源** | OpenNeuro |
| **授权协议** | CC0 |
| **NEMAR引用量** | 0.0 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds005114.v1.0.0](https://doi.org/10.18112/openneuro.ds005114.v1.0.0)
- **OpenNeuro平台：** [ds005114](https://openneuro.org/datasets/ds005114)
- **浏览700+数据集：** [EEGDash数据集目录](https://huggingface.co/spaces/EEGDash/catalog)
- **文档地址：** <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)及[EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds005114)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`以更新元数据。