DS004306#

EEG Semantic Imagination and Perception Dataset

Access recordings and metadata through EEGDash.

Citation: Holly Wilson, Mohammad Golbabaee, Michael Proulx, Eamonn O’Neill (2022). EEG Semantic Imagination and Perception Dataset. 10.18112/openneuro.ds004306.v1.0.2

Modality: eeg Subjects: 12 Recordings: 514 License: CC0 Source: openneuro Citations: 1.0

Metadata: Complete (100%)

Quickstart#

Get Started

Install

pip install eegdash

Access the data

from eegdash.dataset import DS004306

dataset = DS004306(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 = DS004306(cache_dir="./data", subject="01")

Advanced query

dataset = DS004306(
    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{ds004306,
  title = {EEG Semantic Imagination and Perception Dataset},
  author = {Holly Wilson and Mohammad Golbabaee and Michael Proulx and Eamonn O'Neill},
  doi = {10.18112/openneuro.ds004306.v1.0.2},
  url = {https://doi.org/10.18112/openneuro.ds004306.v1.0.2},
}

About This Dataset#

This dataset consists of electroencephalography (EEG) signals acquired with a 124 EEG ANT-Neuro device.

Participants and Sessions

There are 13 participants included, ten performed one session and three performed two sessions. All participants had normal or corrected vision and hearing, apart from sub-16.

Task

The task consisted of imagining and perceiving stimuli from three modalities; visual pictorial, visual orthographic (writing) or auditory. Each of the stimuli belonged to one of three categories: guitar, flower and penguin. These categories were selected based on being semantically dissimilar to one another, and because there were all of 2 syllables.

Dataset Versions

The dataset provided consists of the raw EEG data, a pre-processed version, and an epoched version.

Dataset Information#

Dataset ID	`DS004306`
Title	EEG Semantic Imagination and Perception Dataset
Year	2022
Authors	Holly Wilson, Mohammad Golbabaee, Michael Proulx, Eamonn O’Neill
License	CC0
Citation / DOI	doi:10.18112/openneuro.ds004306.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: 12
Recordings: 514
Tasks: 1

Channels & sampling rate

Channels: 124 (15), 128 (15)
Sampling rate (Hz): 1024.0
Duration (hours): 0.0

API Reference#

Use the DS004306 class to access this dataset programmatically.

class eegdash.dataset.DS004306(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds004306. Modality: eeg; Experiment type: Perception; Subject type: Healthy. Subjects: 12; recordings: 15; 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/ds004306 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds004306

Examples

>>> from eegdash.dataset import DS004306
>>> dataset = DS004306(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