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ds004902 / README.md
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Metadata stub for ds004902
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---
pretty_name: "A Resting-state EEG Dataset for Sleep Deprivation"
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- resting-state
- eyesclosed
- eyesopen
size_categories:
- n<1K
task_categories:
- other
authors:
- "Chuqin Xiang"
- "Xinrui Fan"
- "Duo Bai"
- "Ke Lv"
- "Xu Lei"
---
# A Resting-state EEG Dataset for Sleep Deprivation
**Dataset ID:** `ds004902`
_Xiang2023_
> **At a glance:** EEG · Resting State resting state · healthy · 71 subjects · 218 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="ds004902", 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/ds004902")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 71 |
| **Age range** | 17–23 yrs, mean 20.0 |
| **Recordings** | 218 |
| **Tasks (count)** | 2 |
| **Sessions** | 2 |
| **Channels** | 61 (×218) |
| **Sampling rate (Hz)** | 500 (×215), 5000 (×3) |
| **Total duration (h)** | 18.1 |
| **Size on disk** | 8.3 GB |
| **Recording type** | EEG |
| **Experimental modality** | Resting State |
| **Paradigm type** | Resting state |
| **Population** | Healthy |
| **BIDS version** | 1.8.0 |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 3 |
## Tasks
- `eyesclosed`
- `eyesopen`
## Upstream README
_Verbatim from the dataset's authors — the canonical description._
# General information
The dataset provides resting-state EEG data (eyes open,partially eyes closed) from 71 participants who underwent two experiments involving normal sleep (NS---session1) and sleep deprivation(SD---session2) .The dataset also provides information on participants' sleepiness and mood states.
(Please note here Session 1 (NS) and Session 2 (SD) is not the time order, the time order is counterbalanced across participants and is listed in metadata.)
# Dataset
## Presentation
The data collection was initiated in March 2019 and was terminated in December 2020. The detailed description of the dataset is currently under working by Chuqin Xiang,Xinrui Fan,Duo Bai,Ke Lv and Xu Lei, and will submit to Scientific Data for publication.
#### EEG acquisition
* EEG system (Brain Products GmbH, Steing- rabenstr, Germany, 61 electrodes)
* Sampling frequency: 500Hz
* Impedances were kept below 5k
## Contact
* If you have any questions or comments, please contact:
* Xu Lei: xlei@swu.edu.cn
## Article
Xiang, C., Fan, X., Bai, D. et al. A resting-state EEG dataset for sleep deprivation. Sci Data 11, 427 (2024). https://doi.org/10.1038/s41597-024-03268-2
## People
### Authors
- Chuqin Xiang
- Xinrui Fan
- Duo Bai
- Ke Lv
- Xu Lei _(senior)_
### Contact
- Chuqin Xiang
- XINRUI FAN
## Links
- **DOI:** [10.18112/openneuro.ds004902.v1.0.8](https://doi.org/10.18112/openneuro.ds004902.v1.0.8)
- **OpenNeuro:** [ds004902](https://openneuro.org/datasets/ds004902)
- **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog)
- **Docs:** <https://eegdash.org>
- **Code:** <https://github.com/eegdash/EEGDash>
## Provenance
- **Backend:** `s3``s3://openneuro.org/ds004902`
- **Exact size:** 8,898,598,868 bytes (8.3 GB)
- **Ingested:** 2026-04-06
- **Stats computed:** 2026-04-04
---
_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/ds004902). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._