DS006547#

Visual EEG Study (BrainVision → BIDS)

Access recordings and metadata through EEGDash.

Citation: Sanaz Ghaffari, Arian Yavari, Sara Bonyadian, Arsalan Ghofrani, Russell Butler (2025). Visual EEG Study (BrainVision → BIDS). 10.18112/openneuro.ds006547.v1.0.0

Modality: eeg Subjects: 31 Recordings: 161 License: CC0 Source: openneuro

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS006547

dataset = DS006547(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS006547(cache_dir="./data", subject="01")

Advanced query

dataset = DS006547(
    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{ds006547,
  title = {Visual EEG Study (BrainVision → BIDS)},
  author = {Sanaz Ghaffari and Arian Yavari and Sara Bonyadian and Arsalan Ghofrani and Russell Butler},
  doi = {10.18112/openneuro.ds006547.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds006547.v1.0.0},
}

About This Dataset#

This dataset contains high-density EEG recordings collected during a visual stimulation task. Files are organized according to the EEG-BIDS specification. Raw data are BrainVision (.vhdr/.vmrk/.eeg). Task: visual Session: ses-01

Provenance: Converted from c:/shared/raw_eeg with this helper script. No acquisition-time filters applied (offline preprocessing not included here).

Dataset Information#

Dataset ID

DS006547

Title

Visual EEG Study (BrainVision → BIDS)

Year

2025

Authors

Sanaz Ghaffari, Arian Yavari, Sara Bonyadian, Arsalan Ghofrani, Russell Butler

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds006547.v1.0.0

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds006547,
  title = {Visual EEG Study (BrainVision → BIDS)},
  author = {Sanaz Ghaffari and Arian Yavari and Sara Bonyadian and Arsalan Ghofrani and Russell Butler},
  doi = {10.18112/openneuro.ds006547.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds006547.v1.0.0},
}

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: 31

  • Recordings: 161

  • Tasks: 1

Channels & sampling rate

  • Channels: 64

  • Sampling rate (Hz): 500.0

  • Duration (hours): 0.0

Tags

  • Pathology: Not specified

  • Modality: Visual

  • Type: Perception

Files & format

  • Size on disk: 17.6 GB

  • File count: 161

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds006547.v1.0.0

Provenance

API Reference#

Use the DS006547 class to access this dataset programmatically.

class eegdash.dataset.DS006547(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds006547. Modality: eeg; Experiment type: Perception; Subject type: Unknown. Subjects: 31; recordings: 31; 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/ds006547 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds006547

Examples

>>> from eegdash.dataset import DS006547
>>> dataset = DS006547(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#