EEGDash/ds006576

---
pretty_name: "The role of REM sleep in neural differentiation of memories in the hippocampus"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- sleep
size_categories:
- n<1K
task_categories:
- other
---

# The role of REM sleep in neural differentiation of memories in the hippocampus

**Dataset ID:** `ds006576`

_McDevitt2025_

> **At a glance:** EEG · Sleep sleep · healthy · 57 subjects · 57 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="ds006576", 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/ds006576")
```

## Dataset metadata

| | |
|---|---|
| **Subjects** | 57 |
| **Recordings** | 57 |
| **Tasks (count)** | 1 |
| **Channels** | 73 (×57) |
| **Sampling rate (Hz)** | 512 (×57) |
| **Total duration (h)** | 97.7 |
| **Size on disk** | 553.9 GB |
| **Recording type** | EEG |
| **Experimental modality** | Sleep |
| **Paradigm type** | Sleep |
| **Population** | Healthy |
| **Source** | openneuro |
| **License** | CC0 |

## Links

- **DOI:** [10.18112/openneuro.ds006576.v1.0.3](https://doi.org/10.18112/openneuro.ds006576.v1.0.3)
- **OpenNeuro:** [ds006576](https://openneuro.org/datasets/ds006576)
- **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/ds006576). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

---
数据集展示名: "快速眼动睡眠（REM sleep）在海马体记忆神经分化中的作用"
授权协议: cc0-1.0
标签:
- 脑电图（EEG）
- 神经科学
- EEGDash
- 脑机接口（brain-computer-interface）
- PyTorch
- 睡眠
数据集大小类别:
- 记录数少于1000
任务类别:
- 其他
---

# 快速眼动睡眠（REM sleep）在海马体记忆神经分化中的作用

**数据集ID：** `ds006576`

_McDevitt2025_

> **概览：** 脑电图（EEG） · 睡眠 · 健康受试者 · 57名受试者 · 57条记录 · CC0

## 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格式数据集。

python
# 安装eegdash库
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds006576", cache_dir="./cache")
print(len(ds), "recordings")

若该数据集已以braindecode的Zarr格式镜像至Hugging Face Hub（HF Hub），亦可直接拉取：

python
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006576")

## 数据集元数据

| 指标 | 数值 |
|---|---|
| **受试者数量** | 57 |
| **记录条数** | 57 |
| **任务（数量）** | 1 |
| **通道数** | 73（×57） |
| **采样率（赫兹）** | 512（×57） |
| **总时长（小时）** | 97.7 |
| **磁盘占用** | 553.9 GB |
| **记录类型** | 脑电图（EEG） |
| **实验模态** | 睡眠 |
| **范式类型** | 睡眠 |
| **受试人群** | 健康人群 |
| **数据来源** | OpenNeuro |
| **授权协议** | CC0 |

## 相关链接

- **DOI：** [10.18112/openneuro.ds006576.v1.0.3](https://doi.org/10.18112/openneuro.ds006576.v1.0.3)
- **OpenNeuro页面：** [ds006576](https://openneuro.org/datasets/ds006576)
- **浏览700+数据集：** [EEGDash数据集目录](https://huggingface.co/spaces/EEGDash/catalog)
- **文档：** <https://eegdash.org>
- **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/ds006576) 自动生成。请勿手动编辑此文件 —— 请更新上游源并重新运行 `scripts/push_metadata_stubs.py` 脚本以更新内容。_