DS005473#

29 By BP

Access recordings and metadata through EEGDash.

Citation: Zhao Xiangyue, Zhou Jingyao, Zhang Libo, Duan Haoqing, Wei Shiyu, Bi Yanzhi, Hu Li (2024). 29 By BP. 10.18112/openneuro.ds005473.v1.0.0

Modality: eeg Subjects: 29 Recordings: 412 License: CC0 Source: openneuro

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS005473

dataset = DS005473(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS005473(cache_dir="./data", subject="01")

Advanced query

dataset = DS005473(
    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{ds005473,
  title = {29 By BP},
  author = {Zhao Xiangyue and Zhou Jingyao and Zhang Libo and Duan Haoqing and Wei Shiyu and Bi Yanzhi and Hu Li},
  doi = {10.18112/openneuro.ds005473.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005473.v1.0.0},
}

About This Dataset#

1.Study introduction:

2.Participant task information(description of the experiment):

3.Participant instructions(as exact as possible):

4.References and links: Hu L, Cai MM, Xiao P, Luo F, Iannetti GD. Human brain responses to concomitant stimulation of A�� and C nociceptors. J Neurosci. 2014 Aug 20;34(34):11439-51. doi: 10.1523/JNEUROSCI.1355-14.2014. PMID: 25143623; PMCID: PMC6615513. 5.Comments:

Dataset Information#

Dataset ID

DS005473

Title

29 By BP

Year

2024

Authors

Zhao Xiangyue, Zhou Jingyao, Zhang Libo, Duan Haoqing, Wei Shiyu, Bi Yanzhi, Hu Li

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds005473.v1.0.0

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds005473,
  title = {29 By BP},
  author = {Zhao Xiangyue and Zhou Jingyao and Zhang Libo and Duan Haoqing and Wei Shiyu and Bi Yanzhi and Hu Li},
  doi = {10.18112/openneuro.ds005473.v1.0.0},
  url = {https://doi.org/10.18112/openneuro.ds005473.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: 29

  • Recordings: 412

  • Tasks: 1

Channels & sampling rate

  • Channels: 64 (58), 63 (58)

  • Sampling rate (Hz): 1000.0

  • Duration (hours): 0.0

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: 6.2 GB

  • File count: 412

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds005473.v1.0.0

Provenance

API Reference#

Use the DS005473 class to access this dataset programmatically.

class eegdash.dataset.DS005473(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds005473. Modality: eeg; Experiment type: Unknown; Subject type: Unknown. Subjects: 29; recordings: 58; tasks: 1.

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/ds005473 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds005473

Examples

>>> from eegdash.dataset import DS005473
>>> dataset = DS005473(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#