DS005841#

EEG Experiment measuring ERPs in VR

Access recordings and metadata through EEGDash.

Citation: Elena Karakashevska, Alexis Makin, Michael Batterley (2025). EEG Experiment measuring ERPs in VR. 10.18112/openneuro.ds005841.v1.0.0

Modality: eeg Subjects: 48 Recordings: 870 License: CC0 Source: openneuro

Metadata: Complete (90%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS005841

dataset = DS005841(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS005841(cache_dir="./data", subject="01")

Advanced query

dataset = DS005841(
    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{ds005841,
  title = {EEG Experiment measuring ERPs in VR},
  author = {Elena Karakashevska and Alexis Makin and Michael Batterley},
  doi = {10.18112/openneuro.ds005841.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005841.v1.0.0},
}

About This Dataset#

EEG Experiment Measuring ERPs in VR

This dataset contains EEG recordings from a study investigating event-related potentials (ERPs) during different visual tasks in virtual reality.

Study Design

  • Participants: 48 participants

  • Tasks: - Lumfront - Lumperp - Regfront - Regperp - Signalscreen - Signalvr

  • Modality: EEG (512 Hz sampling rate)

Dataset Organization

The dataset follows the BIDS specification (version 1.6.0). Each subject folder contains EEG recordings and associated metadata.

Funding and Acknowledgements

This study was supported by a doctoral studentship awarded to EK. We thank the participants for their time.

Dataset Information#

Dataset ID

DS005841

Title

EEG Experiment measuring ERPs in VR

Year

2025

Authors

Elena Karakashevska, Alexis Makin, Michael Batterley

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds005841.v1.0.0

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds005841,
  title = {EEG Experiment measuring ERPs in VR},
  author = {Elena Karakashevska and Alexis Makin and Michael Batterley},
  doi = {10.18112/openneuro.ds005841.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005841.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: 48

  • Recordings: 870

  • Tasks: 6

Channels & sampling rate

  • Channels: Varies

  • Sampling rate (Hz): 512.0

  • Duration (hours): 0.0

Tags

  • Pathology: Healthy

  • Modality: Visual

  • Type: Perception

Files & format

  • Size on disk: 7.3 GB

  • File count: 870

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds005841.v1.0.0

Provenance

API Reference#

Use the DS005841 class to access this dataset programmatically.

class eegdash.dataset.DS005841(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds005841. Modality: eeg; Experiment type: Perception; Subject type: Healthy. Subjects: 48; recordings: 288; tasks: 6.

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/ds005841 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds005841

Examples

>>> from eegdash.dataset import DS005841
>>> dataset = DS005841(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#