EEGDash/ds005079

---
pretty_name: "The Effects of Directed Therapeutic Intent on Live and Damaged Cells"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
---

# The Effects of Directed Therapeutic Intent on Live and Damaged Cells

**Dataset ID:** `ds005079`

_Cohen2024_

> **At a glance:** EEG · 1 subjects · 60 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="ds005079", 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/ds005079")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 1 |
| **Recordings** | 60 |
| **Tasks (count)** | 15 |
| **Channels** | 65 (×60) |
| **Sampling rate (Hz)** | 500 (×60) |
| **Total duration (h)** | 3.8 |
| **Size on disk** | 1.7 GB |
| **Recording type** | EEG |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 1.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005079.v2.0.0](https://doi.org/10.18112/openneuro.ds005079.v2.0.0)
- **OpenNeuro:** [ds005079](https://openneuro.org/datasets/ds005079)
- **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/ds005079). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

pretty_name: "定向治疗意图对活细胞与受损细胞的影响"
license: "CC0 1.0"
tags:
- 脑电图（EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
size_categories: "样本规模：少于1000条记录"
task_categories: "其他"

# 定向治疗意图对活细胞与受损细胞的影响

**数据集ID：** `ds005079`

_Cohen等人，2024年_

> **概览：** 脑电图（EEG） · 1名受试者 · 60条记录 · CC0许可证

## 加载该数据集
本仓库为**索引指针**，原始脑电图数据存储于其标准源地址（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
# 执行pip安装eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005079", cache_dir="./cache")
print(len(ds), "条记录")

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

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005079")

## 数据集元数据

| 元数据项 | 详情 |
|---|---|
| **受试者数量** | 1 |
| **记录条数** | 60 |
| **任务（数量）** | 15 |
| **通道数** | 65（×60） |
| **采样率（Hz）** | 500（×60） |
| **总时长（小时）** | 3.8 |
| **磁盘占用大小** | 1.7 GB |
| **记录类型** | 脑电图（EEG） |
| **来源** | OpenNeuro |
| **许可证** | CC0 |
| **NEMAR引用量** | 1.0 |

## 相关链接
- **数字对象标识符（DOI）：** [10.18112/openneuro.ds005079.v2.0.0](https://doi.org/10.18112/openneuro.ds005079.v2.0.0)
- **OpenNeuro平台：** [ds005079](https://openneuro.org/datasets/ds005079)
- **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/ds005079)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。