EEGDash/ds005571

---
pretty_name: "Expectation of Conflict Stimuli"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- unknown
- attention
size_categories:
- n<1K
task_categories:
- other
---

# Expectation of Conflict Stimuli

**Dataset ID:** `ds005571`

_MartinezMolina2024_

> **At a glance:** EEG · Unknown attention · healthy · 24 subjects · 45 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="ds005571", 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/ds005571")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 24 |
| **Recordings** | 45 |
| **Tasks (count)** | 2 |
| **Channels** | 66 (×41), 67 (×4) |
| **Sampling rate (Hz)** | 5000 (×45) |
| **Total duration (h)** | 28.2 |
| **Size on disk** | 63.3 GB |
| **Recording type** | EEG |
| **Experimental modality** | Unknown |
| **Paradigm type** | Attention |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 1.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005571.v1.0.1](https://doi.org/10.18112/openneuro.ds005571.v1.0.1)
- **OpenNeuro:** [ds005571](https://openneuro.org/datasets/ds005571)
- **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/ds005571). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
pretty_name: "冲突刺激预期（Expectation of Conflict Stimuli）"
license: "cc0-1.0"
tags:
- 脑电图(EEG)
- 神经科学
- eegdash
- 脑机接口(brain-computer-interface)
- PyTorch
- 未知
- 注意力
size_categories:
- n<1K
task_categories:
- 其他
---

# 冲突刺激预期数据集

**Dataset ID:** `ds005571`

_MartinezMolina2024_

> **概览：** 脑电图(EEG) · 未知注意力范式 · 健康受试人群 · 24名受试者 · 45次记录 · CC0协议

## 数据集加载

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

python
# 安装eegdash库
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005571", cache_dir="./cache")
print(len(ds), "次记录")

若该数据集已按照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/ds005571")

## 数据集元数据

| 元数据项 | 详细信息 |
|---|---|
| **受试者数量** | 24 |
| **记录次数** | 45 |
| **任务（数量）** | 2 |
| **电极通道数** | 66（41次记录）、67（4次记录） |
| **采样率（Hz）** | 5000（共45次记录） |
| **总时长（小时）** | 28.2 |
| **磁盘占用大小** | 63.3 GB |
| **记录类型** | 脑电图(EEG) |
| **实验模态** | 未知 |
| **范式类型** | 注意力 |
| **受试人群** | 健康人群 |
| **数据来源** | OpenNeuro |
| **授权协议** | CC0 |
| **NEMAR引用量** | 1.0 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds005571.v1.0.1](https://doi.org/10.18112/openneuro.ds005571.v1.0.1)
- **OpenNeuro：** [ds005571](https://openneuro.org/datasets/ds005571)
- **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：** <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/ds005571) 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。