DS006377#

InclusionStudy

Access recordings and metadata through EEGDash.

Citation: Meryem A. Yücel, Jessica E. Anderson, De’Ja Rogers, Parisa Hajirahimi, Parya Farzam, Yuanyuan Gao, Rini I. Kaplan, Emily J. Braun, Nishaat Mukadam, Sudan Duwadi, Laura Carlton, David Beeler, Lindsay K. Butler, Erin Carpenter, Jaimie Girnis, John Wilson, Vaibhav Tripathi, Yiwen Zhang, Bettina Sorger, Alexander von Lühmann, David C. Somers, Alice Cronin-Golomb, Swathi Kiran, Terry D. Ellis, David A. Boas (2025). InclusionStudy. 10.18112/openneuro.ds006377.v1.0.2

Modality: fnirs Subjects: 115 Recordings: 690 License: CC0 Source: openneuro

Metadata: Complete (90%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS006377

dataset = DS006377(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 = DS006377(cache_dir="./data", subject="01")

Advanced query

dataset = DS006377(
    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{ds006377,
  title = {InclusionStudy},
  author = {Meryem A. Yücel and Jessica E. Anderson and De'Ja Rogers and Parisa Hajirahimi and Parya Farzam and Yuanyuan Gao and Rini I. Kaplan and Emily J. Braun and Nishaat Mukadam and Sudan Duwadi and Laura Carlton and David Beeler and Lindsay K. Butler and Erin Carpenter and Jaimie Girnis and John Wilson and Vaibhav Tripathi and Yiwen Zhang and Bettina Sorger and Alexander von Lühmann and David C. Somers and Alice Cronin-Golomb and Swathi Kiran and Terry D. Ellis and David A. Boas},
  doi = {10.18112/openneuro.ds006377.v1.0.2},
  url = {https://doi.org/10.18112/openneuro.ds006377.v1.0.2},
}

About This Dataset#

No README content is available for this dataset.

Dataset Information#

Dataset ID	`DS006377`
Title	InclusionStudy
Year	2025
Authors	Meryem A. Yücel, Jessica E. Anderson, De’Ja Rogers, Parisa Hajirahimi, Parya Farzam, Yuanyuan Gao, Rini I. Kaplan, Emily J. Braun, Nishaat Mukadam, Sudan Duwadi, Laura Carlton, David Beeler, Lindsay K. Butler, Erin Carpenter, Jaimie Girnis, John Wilson, Vaibhav Tripathi, Yiwen Zhang, Bettina Sorger, Alexander von Lühmann, David C. Somers, Alice Cronin-Golomb, Swathi Kiran, Terry D. Ellis, David A. Boas
License	CC0
Citation / DOI	doi:10.18112/openneuro.ds006377.v1.0.2
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: 115
Recordings: 690
Tasks: 6

Channels & sampling rate

Channels: 52
Sampling rate (Hz): 10.172526041666666 (643), 10.172526041666664 (24), 10.172526041666668 (21), 10.172526043256445 (2)
Duration (hours): 0.0

API Reference#

Use the DS006377 class to access this dataset programmatically.

class eegdash.dataset.DS006377(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds006377. Modality: fnirs; Experiment type: Unknown; Subject type: Unknown. Subjects: 116; recordings: 3952; 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/ds006377 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds006377

Examples

>>> from eegdash.dataset import DS006377
>>> dataset = DS006377(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