DS003751#

Dataset on Emotion with Naturalistic Stimuli (DENS)

Access recordings and metadata through EEGDash.

Citation: Sudhakar Mishra, Md. Asif, Uma Shanker Tiwary, Narayanan Srinivasan (2021). Dataset on Emotion with Naturalistic Stimuli (DENS). 10.18112/openneuro.ds003751.v1.0.6

Modality: eeg Subjects: 40 Recordings: 200 License: CC0 Source: openneuro Citations: 7.0

Metadata: Complete (100%)

Quickstart#

Install

pip install eegdash

Access the data

from eegdash.dataset import DS003751

dataset = DS003751(cache_dir="./data")
# Get the raw object of the first recording
raw = dataset.datasets[0].raw
print(raw.info)

Filter by subject

dataset = DS003751(cache_dir="./data", subject="01")

Advanced query

dataset = DS003751(
    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{ds003751,
  title = {Dataset on Emotion with Naturalistic Stimuli (DENS)},
  author = {Sudhakar Mishra and Md. Asif and Uma Shanker Tiwary and Narayanan Srinivasan},
  doi = {10.18112/openneuro.ds003751.v1.0.6},
  url = {https://doi.org/10.18112/openneuro.ds003751.v1.0.6},
}

About This Dataset#

Overview

This is the “Emotion” dataset. The Dataset is recorded with naturalistic paradigm

In brief, it contains EEG, ECG and EMG data for 40 subjects emotionally stimulated using naturalistic emotion stimuli. The stimuli are multimedia videos providing context to understand the situated conceptualization of emotions. For details, see the Details about the experiment section.

View full README

Overview

This is the “Emotion” dataset. The Dataset is recorded with naturalistic paradigm

In brief, it contains EEG, ECG and EMG data for 40 subjects emotionally stimulated using naturalistic emotion stimuli. The stimuli are multimedia videos providing context to understand the situated conceptualization of emotions. For details, see the Details about the experiment section.

Citing this dataset

Please cite as follows: Sudhakar Mishra and Md. Asif and Uma Shanker Tiwary and Narayanan Srinivasan(2023). Dataset on Emotion with Naturalistic Stimuli (DENS). OpenNeuro. [Dataset] doi: https://doi.org/10.18112/openneuro.ds003751.v1.0.5

For more information, see the dataset_description.json file.

License

This eeg_emotion dataset is made available under the Open Database License: See the LICENSE file. A human readable information can be found at:

https://opendatacommons.org/licenses/odbl/summary/

Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

Dataset Description

Dataset_description file described the metadata for the dataset. Participants related details are described in participants.json and participants.tsv files. Each subject directory contains two directories- beh and eeg. A tsv file inside beh folder having entries about the feedbacks given by subject on self-assessment scales-valence, arousal, dominance, liking, familiarity, relevance and emotion category. In addition, it contains the information about the time-stamp of mouse click and other details. The eeg folder inside subject directory contains the raw eeg data in .set & .fdt format along with the information about task events in _task-emotion_events.tsv file. The stimuli directory contains stimuli which were used during the experiment. In addition, feedback excel sheet participant_details.xlsx filled by participants is also added. The code directory contains the python code for data collection, python code for data validation and matlab file for pre-processing the raw data.

Dataset Information#

Dataset ID

DS003751

Title

Dataset on Emotion with Naturalistic Stimuli (DENS)

Year

2021

Authors

Sudhakar Mishra, Md. Asif, Uma Shanker Tiwary, Narayanan Srinivasan

License

CC0

Citation / DOI

doi:10.18112/openneuro.ds003751.v1.0.6

Source links

OpenNeuro | NeMAR | Source URL
Copy-paste BibTeX
@dataset{ds003751,
  title = {Dataset on Emotion with Naturalistic Stimuli (DENS)},
  author = {Sudhakar Mishra and Md. Asif and Uma Shanker Tiwary and Narayanan Srinivasan},
  doi = {10.18112/openneuro.ds003751.v1.0.6},
  url = {https://doi.org/10.18112/openneuro.ds003751.v1.0.6},
}

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: 40

  • Recordings: 200

  • Tasks: 1

Channels & sampling rate

  • Channels: 131

  • Sampling rate (Hz): 250.0

  • Duration (hours): 0.0

Tags

  • Pathology: Not specified

  • Modality: —

  • Type: —

Files & format

  • Size on disk: 4.7 GB

  • File count: 200

  • Format: BIDS

License & citation

  • License: CC0

  • DOI: doi:10.18112/openneuro.ds003751.v1.0.6

Provenance

API Reference#

Use the DS003751 class to access this dataset programmatically.

class eegdash.dataset.DS003751(cache_dir: str, query: dict | None = None, s3_bucket: str | None = None, **kwargs)[source]#

Bases: EEGDashDataset

OpenNeuro dataset ds003751. Modality: eeg; Experiment type: Affect; Subject type: Healthy. Subjects: 38; recordings: 38; 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/ds003751 NeMAR dataset: https://nemar.org/dataexplorer/detail?dataset_id=ds003751

Examples

>>> from eegdash.dataset import DS003751
>>> dataset = DS003751(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#