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Multimodal EEG, ECG, and video dataset of yoga practitioners during concentration and mind-wandering tasks.

Overview

Authors: Alexey Kashevnik1, Eduard Glekler1, Elena Artemenko2, Ivan Brak3,4, Irina Shoshina3, Vladimir Romaniuk1
  1. SPC RAS, 14 Line V.O. 39, 199178 St. Petersburg, Russia
  2. HSE University, Social and Cognitive Informatics Lab, Sedova st. 55/2, St. Petersburg, 192148 Russia
  3. MISIS University of Science and Technology, Leninsky pr. 4-1, 119049 Moscow, Russia
  4. RUDN University, Miklukho-Maklaya str.6, 117198 Moscow, Russia
Institutions: Russian Academy of Sciences (Russia); National Research University Higher School of Economics (Russia); National University of Science and Technology (Russia); Peoples' Friendship University of Russia (Russia)
Journal: Scientific data, volume 13, issue 1, article 850
Dates: received 3 July 2025; accepted 1 April 2026; published online 10 April 2026
Type: Data paper · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41597-026-07209-z · PMID 41963380 · PMCID PMC13243609 · OpenAlex W7153213204
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), other (modality), human (organism)
Methods: Physiology & signal measures
Keywords: Neurophysiology, Consciousness
MeSH: Attention*, Electrocardiography*, Electroencephalography*, Yoga*, Humans, Video Recording (* major topic)
Topic: Mindfulness and Compassion Interventions (Clinical Psychology, Psychology), according to OpenAlex
Citations: not cited yet (Europe PMC); 23 references in the paper

Abstract

We present a multimodal dataset containing electroencephalography (EEG), electrocardiography (ECG), and video recordings from 49 participants. Each participant completed a single session lasting approximately 45 minutes. During each session they performed five tasks: resting state, inward concentration (focusing on the center of the forehead), outward concentration (visual search), and mind-wandering. EEG data were recorded from 64 channels at 2048 Hz; ECG and frontal video were collected simultaneously. The dataset includes 49 validated recordings: 25 from experienced yoga practitioners and 24 from individuals without prior experience in yoga or other self-regulation practices. The recordings are synchronized and structured for convenient use in cross-modal analyses. This dataset may support research in attention, concentration, meditation, affective computing, and multimodal signal integration. All data are anonymized and organized for easy access and reuse.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

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Data

Datasets cited

Data availability

The dataset is available in Hugging Face repository: https://huggingface.co/datasets/alexeykashevnik/EEGMeditation.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 2 keywords, 6 MeSH terms, 11 references.

Cite

This paper

Kashevnik, A., Glekler, E., Artemenko, E., Brak, I., Shoshina, I., & Romaniuk, V. (2026). Multimodal EEG, ECG, and video dataset of yoga practitioners during concentration and mind-wandering tasks. Scientific data, 13(1), 850. https://doi.org/10.1038/s41597-026-07209-z

BibTeX

@article{kashevnik2026multimodal,
author = {Kashevnik, Alexey and Glekler, Eduard and Artemenko, Elena and Brak, Ivan and Shoshina, Irina and Romaniuk, Vladimir},
title = {{Multimodal EEG, ECG, and video dataset of yoga practitioners during concentration and mind-wandering tasks}},
journal = {Scientific data},
year = {2026},
month = apr,
volume = {13},
number = {1},
pages = {850},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07209-z},
url = {https://doi.org/10.1038/s41597-026-07209-z},
pmid = {41963380},
pmcid = {PMC13243609}
}

RIS

TY - JOUR
AU - Kashevnik, Alexey
AU - Glekler, Eduard
AU - Artemenko, Elena
AU - Brak, Ivan
AU - Shoshina, Irina
AU - Romaniuk, Vladimir
TI - Multimodal EEG, ECG, and video dataset of yoga practitioners during concentration and mind-wandering tasks
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/04/10
VL - 13
IS - 1
SP - 850
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07209-z
UR - https://doi.org/10.1038/s41597-026-07209-z
LA - en
ER -

CSL-JSON

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