DS004367: eeg dataset, 40 subjects#

Meta-rdk: Raw EEG data

Access recordings and metadata through EEGDash.

Citation: Martin Rouy, Matthieu Roger, Dorian Goueytes, Michael Pereira, Paul Roux, Nathan Faivre (2022). Meta-rdk: Raw EEG data. 10.18112/openneuro.ds004367.v1.0.2

Modality: eeg Subjects: 40 Recordings: 40 License: CC0 Source: openneuro Citations: 1.0

Metadata: Complete (90%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS004367

dataset = DS004367(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS004367(cache_dir="./data", subject="01")

Advanced query

dataset = DS004367(
    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{ds004367,
  title = {Meta-rdk: Raw EEG data},
  author = {Martin Rouy and Matthieu Roger and Dorian Goueytes and Michael Pereira and Paul Roux and Nathan Faivre},
  doi = {10.18112/openneuro.ds004367.v1.0.2},
  url = {https://doi.org/10.18112/openneuro.ds004367.v1.0.2},
}

About This Dataset#

No README content is available for this dataset.

Dataset Information#

Dataset ID

DS004367

Title

Meta-rdk: Raw EEG data

Author (year)

Rouy2022_Meta

Canonical

—

Importable as

DS004367, Rouy2022_Meta

Year

2022

Authors

Martin Rouy, Matthieu Roger, Dorian Goueytes, Michael Pereira, Paul Roux, Nathan Faivre

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds004367.v1.0.2

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds004367,
  title = {Meta-rdk: Raw EEG data},
  author = {Martin Rouy and Matthieu Roger and Dorian Goueytes and Michael Pereira and Paul Roux and Nathan Faivre},
  doi = {10.18112/openneuro.ds004367.v1.0.2},
  url = {https://doi.org/10.18112/openneuro.ds004367.v1.0.2},
}

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: 40

  • Recordings: 40

  • Tasks: 1

Channels & sampling rate

  • Channels: 68

  • Sampling rate (Hz): 1200.0

  • Duration (hours): 24.809597685185185

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: 28.0 GB

  • File count: 40

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds004367.v1.0.2

Provenance

API Reference#

Use the DS004367 class to access this dataset programmatically.

class eegdash.dataset.DS004367(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

Meta-rdk: Raw EEG data

Study:

ds004367 (OpenNeuro)

Author (year):

Rouy2022_Meta

Canonical:

—

Also importable as: DS004367, Rouy2022_Meta.

Modality: eeg. Subjects: 40; recordings: 40; tasks: 1.

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/ds004367 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds004367 DOI: https://doi.org/10.18112/openneuro.ds004367.v1.0.2 NEMAR citation count: 1

Examples

>>> from eegdash.dataset import DS004367
>>> dataset = DS004367(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#