DS004148#

A test-retest resting and cognitive state EEG dataset

Access recordings and metadata through EEGDash.

Citation: Yulin Wang, Wei Duan, Debo Dong, Lihong Ding, Xu Lei (2022). A test-retest resting and cognitive state EEG dataset. 10.18112/openneuro.ds004148.v1.0.1

Modality: eeg Subjects: 60 Recordings: 5585 License: CC0 Source: openneuro Citations: 12.0

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS004148

dataset = DS004148(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS004148(cache_dir="./data", subject="01")

Advanced query

dataset = DS004148(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

for rec in dataset:
    print(rec.subject, rec.raw.info['sfreq'])

If you use this dataset in your research, please cite the original authors.

BibTeX

@dataset{ds004148,
  title = {A test-retest resting and cognitive state EEG dataset},
  author = {Yulin Wang and Wei Duan and Debo Dong and Lihong Ding and Xu Lei},
  doi = {10.18112/openneuro.ds004148.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds004148.v1.0.1},
}

About This Dataset#

General information

This dataset contains resting(eyes closed, eyes open) and cognitive(subtraction, music, memory) state EEG recordings with 60 participants during three experimental sessions together with sleep, emotion, mental health, and mind-wandering related measures

Dataset

View full README

General information

This dataset contains resting(eyes closed, eyes open) and cognitive(subtraction, music, memory) state EEG recordings with 60 participants during three experimental sessions together with sleep, emotion, mental health, and mind-wandering related measures

Dataset

Presentation

The data collection was initiated in September 2019 and was terminated in April 2021. The detailed description of the dataset is currently under working by Yulin Wang, and will submit to Scientific Data for publication.

EEG acquisition

  • EEG system (Brain Products GmbH, Steing- rabenstr, Germany, 64 electrodes)

  • Sampling frequency: 500Hz

  • Impedances were kept below 5k

Contact

Dataset Information#

Dataset ID

DS004148

Title

A test-retest resting and cognitive state EEG dataset

Year

2022

Authors

Yulin Wang, Wei Duan, Debo Dong, Lihong Ding, Xu Lei

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds004148.v1.0.1

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds004148,
  title = {A test-retest resting and cognitive state EEG dataset},
  author = {Yulin Wang and Wei Duan and Debo Dong and Lihong Ding and Xu Lei},
  doi = {10.18112/openneuro.ds004148.v1.0.1},
  url = {https://doi.org/10.18112/openneuro.ds004148.v1.0.1},
}

Found an issue with this dataset?

If you encounter any problems with this dataset (missing files, incorrect metadata, loading errors, etc.), please let us know!

Report an Issue on GitHub

Technical Details#

Subjects & recordings

  • Subjects: 60

  • Recordings: 5585

  • Tasks: 5

Channels & sampling rate

  • Channels: 61 (1599), 60 (200), 64

  • Sampling rate (Hz): 500.0

  • Duration (hours): 0.0

Tags

  • Pathology: Healthy

  • Modality: Other

  • Type: Other

Files & format

  • Size on disk: 30.7 GB

  • File count: 5585

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds004148.v1.0.1

Provenance

API Reference#

Use the DS004148 class to access this dataset programmatically.

class eegdash.dataset.DS004148(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds004148. Modality: eeg; Experiment type: Other; Subject type: Healthy. Subjects: 60; recordings: 900; tasks: 5.

Parameters:

  • cache_dir (str | Path) – Directory where data are cached locally.

  • query (dict | None) – Additional MongoDB-style filters to AND with the dataset selection. Must not contain the key dataset.

  • s3_bucket (str | None) – Base S3 bucket used to locate the data.

  • **kwargs (dict) – Additional keyword arguments forwarded to EEGDashDataset.

data_dir#

Local dataset cache directory (cache_dir / dataset_id).

Type:

Path

query#

Merged query with the dataset filter applied.

Type:

dict

records#

Metadata records used to build the dataset, if pre-fetched.

Type:

list[dict] | None

Notes

Each item is a recording; recording-level metadata are available via dataset.description. query supports MongoDB-style filters on fields in ALLOWED_QUERY_FIELDS and is combined with the dataset filter. Dataset-specific caveats are not provided in the summary metadata.

References

OpenNeuro dataset: https://openneuro.org/datasets/ds004148 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds004148

Examples

>>> from eegdash.dataset import DS004148
>>> dataset = DS004148(cache_dir="./data")
>>> recording = dataset[0]
>>> raw = recording.load()
__init__(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#
save(path, overwrite=False)[source]#

Save the dataset to disk.

Parameters:

  • path (str or Path) – Destination file path.

  • overwrite (bool, default False) – If True, overwrite existing file.

Return type:

None

See Also#