dataset_id stringclasses 1
value | title stringclasses 1
value | source stringclasses 1
value | source_url stringclasses 1
value | doi stringclasses 1
value | license stringclasses 1
value | loader dict | catalog stringclasses 1
value | generated_by stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|
ds004902 | A Resting-state EEG Dataset for Sleep Deprivation | openneuro | https://openneuro.org/datasets/ds004902 | 10.18112/openneuro.ds004902.v1.0.8 | CC0 | {
"library": "eegdash",
"class": "EEGDashDataset",
"kwargs": {
"dataset": "ds004902"
}
} | https://huggingface.co/spaces/EEGDash/catalog | huggingface-space/scripts/push_metadata_stubs.py |
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 streams it on demand and returns a PyTorch / braindecode dataset.
# 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:
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
eyesclosedeyesopen
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
- OpenNeuro: ds004902
- Browse 700+ datasets: 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 and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.
- Downloads last month
- 31