DS005083: ieeg dataset, 61 subjects#

Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy

Access recordings and metadata through EEGDash.

Citation: Peter H Yang, Nathan Wulfekammer, Amanda V. Jenson, Elliot Neal, Stuart Tomko, John Zempel, Peter Brunner, Sean D McEvoy, Matthew D Smyth, Jarod L Roland (—). Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy. 10.18112/openneuro.ds005083.v1.0.0

Modality: ieeg Subjects: 61 Recordings: 1357 License: CC0 Source: openneuro

Metadata: Complete (90%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS005083

dataset = DS005083(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS005083(cache_dir="./data", subject="01")

Advanced query

dataset = DS005083(
    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{ds005083,
  title = {Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy},
  author = {Peter H Yang and Nathan Wulfekammer and Amanda V. Jenson and Elliot Neal and Stuart Tomko and John Zempel and Peter Brunner and Sean D McEvoy and Matthew D Smyth and Jarod L Roland},
  doi = {10.18112/openneuro.ds005083.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005083.v1.0.0},
}

About This Dataset#

BIDS iEEG dataset for the SEEG electrode data used for analysis in the manuscript title “Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy.” All coordinates are recorded in the individual native post-operative CT imaging space. There was no alignment to other imaging modalities or standardized atlases.

Dataset Information#

Dataset ID

DS005083

Title

Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy

Author (year)

Yang2024

Canonical

—

Importable as

DS005083, Yang2024

Year

—

Authors

Peter H Yang, Nathan Wulfekammer, Amanda V. Jenson, Elliot Neal, Stuart Tomko, John Zempel, Peter Brunner, Sean D McEvoy, Matthew D Smyth, Jarod L Roland

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds005083.v1.0.0

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds005083,
  title = {Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy},
  author = {Peter H Yang and Nathan Wulfekammer and Amanda V. Jenson and Elliot Neal and Stuart Tomko and John Zempel and Peter Brunner and Sean D McEvoy and Matthew D Smyth and Jarod L Roland},
  doi = {10.18112/openneuro.ds005083.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005083.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: 61

  • Recordings: 1357

  • Tasks: 3

Channels & sampling rate

  • Channels: 105 (2), 114 (2), 150, 102, 99, 62, 98, 148, 166, 138, 124, 129, 61, 117, 83, 230, 144, 95, 100, 134, 132, 112, 73, 123, 93, 152, 65, 103

  • Sampling rate (Hz): Varies

  • Duration (hours): Not calculated

Tags

  • Pathology: Surgery

  • Modality: —

  • Type: Clinical/Intervention

Files & format

  • Size on disk: 281.7 KB

  • File count: 1357

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds005083.v1.0.0

Provenance

API Reference#

Use the DS005083 class to access this dataset programmatically.

class eegdash.dataset.DS005083(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

Safety and Accuracy of Stereoelectroencephalography for Pediatric Patients with Prior Craniotomy

Study:

ds005083 (OpenNeuro)

Author (year):

Yang2024

Canonical:

—

Also importable as: DS005083, Yang2024.

Modality: ieeg; Experiment type: Clinical/Intervention; Subject type: Surgery. Subjects: 61; recordings: 1357; tasks: 3.

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/ds005083 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds005083 DOI: https://doi.org/10.18112/openneuro.ds005083.v1.0.0

Examples

>>> from eegdash.dataset import DS005083
>>> dataset = DS005083(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#