DS003688#

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

Access recordings and metadata through EEGDash.

Citation: Julia Berezutskaya, Mariska J. Vansteensel, Erik J. Aarnoutse, Zachary V. Freudenburg, Giovanni Piantoni, Mariana P. Branco, Nick F. Ramsey (2021). Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film. 10.18112/openneuro.ds003688.v1.0.7

Modality: ieeg Subjects: 63 Recordings: 1355 License: CC0 Source: openneuro Citations: 9.0

Metadata: Complete (100%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS003688

dataset = DS003688(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Query & Filter

Filter by subject

dataset = DS003688(cache_dir="./data", subject="01")

Advanced query

dataset = DS003688(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Iterate recordings

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

Cite This Dataset

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

BibTeX

@dataset{ds003688,
  title = {Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film},
  author = {Julia Berezutskaya and Mariska J. Vansteensel and Erik J. Aarnoutse and Zachary V. Freudenburg and Giovanni Piantoni and Mariana P. Branco and Nick F. Ramsey},
  doi = {10.18112/openneuro.ds003688.v1.0.7},
  url = {https://doi.org/10.18112/openneuro.ds003688.v1.0.7},
}

About This Dataset#

Open iEEG-fMRI dataset from stimulation with a short audiovisual film

Full description of the data in our dataset paper: https://www.nature.com/articles/s41597-022-01173-0

Video description of the dataset: https://www.youtube.com/watch?v=C14cWM1CvrE&t=13s

UMC Utrecht Team https://www.nick-ramsey.eu/

Dataset Information#

Dataset ID	`DS003688`
Title	Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
Year	2021
Authors	Julia Berezutskaya, Mariska J. Vansteensel, Erik J. Aarnoutse, Zachary V. Freudenburg, Giovanni Piantoni, Mariana P. Branco, Nick F. Ramsey
License	CC0
Citation / DOI	doi:10.18112/openneuro.ds003688.v1.0.7
Source links	OpenNeuro \| NeMAR \| Source URL

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: 63
Recordings: 1355
Tasks: 2

Channels & sampling rate

Channels: 74 (12), 62 (10), 109 (10), 107 (8), 85 (8), 125 (8), 72 (8), 88 (8), 71 (6), 115 (6), 67 (6), 95 (6), 84 (6), 76 (6), 118 (6), 81 (6), 111 (6), 112 (4), 100 (4), 121 (4), 116 (4), 122 (4), 86 (4), 75 (4), 80 (4), 126 (4), 87 (4), 102 (4), 60 (4), 110 (4), 113 (4), 89 (4), 128 (4), 64 (4), 177 (4), 54 (4), 65 (2), 69 (2), 97 (2), 92 (2), 91 (2), 94 (2)
Sampling rate (Hz): 512.0 (142), 2048.0 (64), 2000.0 (8)
Duration (hours): 0.0

API Reference#

Use the DS003688 class to access this dataset programmatically.

class eegdash.dataset.DS003688(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds003688. Modality: ieeg; Experiment type: Perception; Subject type: Epilepsy. Subjects: 51; recordings: 107; tasks: 2.

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/ds003688 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds003688

Examples

>>> from eegdash.dataset import DS003688
>>> dataset = DS003688(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