DS002094#

Single-pulse open-loop TMS-EEG dataset

Access recordings and metadata through EEGDash.

Citation: Unknown (2019). Single-pulse open-loop TMS-EEG dataset.

Modality: eeg Subjects: 20 Recordings: 282 License: CC0 Source: openneuro Citations: 30.0

Metadata: Good (70%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS002094

dataset = DS002094(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS002094(cache_dir="./data", subject="01")

Advanced query

dataset = DS002094(
    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{ds002094,
  title = {Single-pulse open-loop TMS-EEG dataset},
}

About This Dataset#

No README content is available for this dataset.

Dataset Information#

Dataset ID

DS002094

Title

Single-pulse open-loop TMS-EEG dataset

Year

2019

Authors

Unknown

License

CC0

Citation / DOI

Unknown

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: 20

  • Recordings: 282

  • Tasks: 3

Channels & sampling rate

  • Channels: 30

  • Sampling rate (Hz): 5000.0

  • Duration (hours): 0.0

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: 39.4 GB

  • File count: 282

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: —

Provenance

API Reference#

Use the DS002094 class to access this dataset programmatically.

class eegdash.dataset.DS002094(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds002094. Modality: eeg; Experiment type: Resting state. Subjects: 20; recordings: 43; 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/ds002094 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds002094

Examples

>>> from eegdash.dataset import DS002094
>>> dataset = DS002094(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#