eegdash.dataset.DS006377#

InclusionStudy (OpenNeuro ds006377). Access recordings and metadata through EEGDash.

Modality: [‘fnirs’] Tasks: 0 License: CC0 Subjects: 0 Recordings: 0 Source: openneuro

Dataset Information#

Dataset ID

DS006377

Title

InclusionStudy

Year

Unknown

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
Copy-paste 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},
}

Highlights#

Subjects & recordings

  • Subjects: 0

  • Recordings: 0

  • Tasks: 0

Channels & sampling rate

  • Channels: Unknown

  • Sampling rate (Hz): Unknown

  • Duration (hours): 0

Tasks & conditions

  • Tasks: 0

  • Experiment type: Unknown

  • Subject type: Unknown

Files & format

  • Size on disk: Unknown

  • File count: Unknown

  • Format: Unknown

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds006377.v1.0.2

Provenance

Quickstart#

Install

pip install eegdash

Load a recording

from eegdash.dataset import DS006377

dataset = DS006377(cache_dir="./data")
recording = dataset[0]
raw = recording.load()

Filter/query

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

dataset = DS006377(
    cache_dir="./data",
    query={"subject": {"$in": ["01", "02"]}},
)

Quality & caveats#

  • No dataset-specific caveats are listed in the available metadata.

API#

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: fNIRS. 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 DOI: https://doi.org/10.18112/openneuro.ds006377.v1.0.2

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

See Also#