EEGDash/ds007118

---
pretty_name: "iEEG_comprehensive_HFA_model_part1"
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- sleep
size_categories:
- n<1K
task_categories:
- other
---

# iEEG_comprehensive_HFA_model_part1

**Dataset ID:** `ds007118`

_Hatano2025_part1_

**Canonical aliases:** `Hatano`

> **At a glance:** IEEG · Sleep sleep · unknown · 65 subjects · 82 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="ds007118", 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 Hatano
ds = Hatano(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/ds007118")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 65 |
| **Recordings** | 82 |
| **Tasks (count)** | 1 |
| **Channels** | 128 (×21), 112 (×17), 124 (×6), 102 (×5), 108 (×4), 120 (×4), 68 (×3), 116 (×3), 138 (×3), 118 (×3), 106 (×2), 144 (×2), 64 (×2), 122 (×1), 114 (×1), 74 (×1), 94 (×1), 36 (×1), 132 (×1), 58 (×1) |
| **Sampling rate (Hz)** | 1000 (×82) |
| **Total duration (h)** | 44.2 |
| **Size on disk** | 33.8 GB |
| **Recording type** | IEEG |
| **Experimental modality** | Sleep |
| **Paradigm type** | Sleep |
| **Population** | Unknown |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds007118.v1.0.0](https://doi.org/10.18112/openneuro.ds007118.v1.0.0)
- **OpenNeuro:** [ds007118](https://openneuro.org/datasets/ds007118)
- **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/ds007118). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

# iEEG综合HFA模型_part1

**数据集ID：** `ds007118`

*Hatano2025_part1*

**规范别名：** `Hatano`

> **概览：** 颅内脑电图（intracranial EEG，iEEG）、睡眠、未知人群、65名受试者、82段记录、CC0协议

## 加载该数据集

本仓库为**指针仓库**。原始颅内脑电图数据存储于其官方源（OpenNeuro / NEMAR）；[EEGDash](https://github.com/eegdash/EEGDash) 可按需流式加载该数据集并返回PyTorch / braindecode格式的数据集对象。

python
# 安装依赖：pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds007118", cache_dir="./cache")
print(len(ds), "段记录")

你也可以通过规范别名加载该数据集——这些别名已在`eegdash.dataset`中注册为类：

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

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

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds007118")

## 数据集元数据

| | |
|---|---|
| **受试者数量** | 65 |
| **记录段数量** | 82 |
| **任务（计数）** | 1 |
| **通道数** | 128 (×21), 112 (×17), 124 (×6), 102 (×5), 108 (×4), 120 (×4), 68 (×3), 116 (×3), 138 (×3), 118 (×3), 106 (×2), 144 (×2), 64 (×2), 122 (×1), 114 (×1), 74 (×1), 94 (×1), 36 (×1), 132 (×1), 58 (×1) |
| **采样率（Hz）** | 1000 (×82) |
| **总时长（小时）** | 44.2 |
| **磁盘占用大小** | 33.8 GB |
| **记录类型** | 颅内脑电图（iEEG） |
| **实验模态** | 睡眠 |
| **实验范式类型** | 睡眠 |
| **受试人群** | 未知 |
| **数据来源** | OpenNeuro |
| **许可证** | CC0 1.0协议 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds007118.v1.0.0](https://doi.org/10.18112/openneuro.ds007118.v1.0.0)
- **OpenNeuro页面：** [ds007118](https://openneuro.org/datasets/ds007118)
- **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/ds007118)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。