OSCR

EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy Individuals.

Overview

Authors: Shantanu Sarkar1, Kevin Nathan1, Atilla Kilicarslan1, David Eguren1, Robert Grossman2, Jose L. Contreras-Vidal1
ORCID iDs: Shantanu Sarkar, Jose L. Contreras-Vidal
  1. IUCRC BRAIN, Cullen College of Engineering, University of Houston,Houston, TX USA
  2. Department of Neurosurgery, Houston Methodist Research Institute,Houston, TX USA
Institutions: University of Houston (United States); Houston Methodist (United States)
Journal: Scientific data, volume 13, issue 1, article 1253
Dates: received 28 April 2025; accepted 15 May 2026; published online 1 June 2026
Type: Data paper · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41597-026-07476-w · PMID 42225660 · PMCID PMC13527075 · OpenAlex W7163083104
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), human (organism), healthy (population), methods / tools (subfield)
Methods: Spectral & time-frequency, Connectivity, Smoothing, state filtering, decompositions, Machine learning
Keywords: Neural decoding, Brain-machine interface, Research data
MeSH: Brain-Computer Interfaces*, Electroencephalography*, Exoskeleton Device*, Walking*, Electrooculography, Female, Healthy Volunteers, Humans, Longitudinal Studies, Posture (* major topic)
Journal subjects: Data Descriptor
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: UH-Methodist Graduate Fellowship for Translational Research NSF IUCRC BRAIN Center Award #2137255
Citations: cited by 1 paper (Europe PMC); 55 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41597-026-07476-w.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41597-026-07476-w.

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, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 3 keywords, 10 MeSH terms, 1 funder, 51 references.

Cite

This paper

Sarkar, S., Nathan, K., Kilicarslan, A., Eguren, D., Grossman, R., & Contreras-Vidal, J. L. (2026). EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy Individuals. Scientific data, 13(1), 1253. https://doi.org/10.1038/s41597-026-07476-w

BibTeX

@article{sarkar2026eeg,
author = {Sarkar, Shantanu and Nathan, Kevin and Kilicarslan, Atilla and Eguren, David and Grossman, Robert and Contreras-Vidal, Jose L.},
title = {{EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy Individuals}},
journal = {Scientific data},
year = {2026},
month = jun,
volume = {13},
number = {1},
pages = {1253},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07476-w},
url = {https://doi.org/10.1038/s41597-026-07476-w},
pmid = {42225660},
pmcid = {PMC13527075}
}

RIS

TY - JOUR
AU - Sarkar, Shantanu
AU - Nathan, Kevin
AU - Kilicarslan, Atilla
AU - Eguren, David
AU - Grossman, Robert
AU - Contreras-Vidal, Jose L.
TI - EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy Individuals
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/06/01
VL - 13
IS - 1
SP - 1253
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07476-w
UR - https://doi.org/10.1038/s41597-026-07476-w
LA - en
ER -

CSL-JSON

{
"id": "10.1038/s41597-026-07476-w",
"type": "article-journal",
"title": "EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy Individuals",
"container-title": "Scientific data",
"author": [
{
"family": "Sarkar",
"given": "Shantanu"
},
{
"family": "Nathan",
"given": "Kevin"
},
{
"family": "Kilicarslan",
"given": "Atilla"
},
{
"family": "Eguren",
"given": "David"
},
{
"family": "Grossman",
"given": "Robert"
},
{
"family": "Contreras-Vidal",
"given": "Jose L."
}
],
"container-title-short": "Sci Data",
"volume": "13",
"issue": "1",
"page": "1253",
"DOI": "10.1038/s41597-026-07476-w",
"PMID": "42225660",
"PMCID": "PMC13527075",
"ISSN": "2052-4463",
"publisher": "Nature Publishing Group",
"URL": "https://doi.org/10.1038/s41597-026-07476-w",
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
1
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.3390/s26082440 [code]
Suppressing Non-Stationary Motion Artefacts in Mobile EEG Using Generalized Eigenvalue Decomposition.
Journal: Sensors (Basel, Switzerland)
In common: methods / tools, EEG, 2 references
[2] doi:10.1038/s41597-026-07244-w [code]
An Open Non-Invasive EEG Dataset for Spontaneous Auditory Attention Switch Decoding.
Journal: Scientific data
In common: methods / tools, EEG, 2 references
[3] doi:10.3390/s26092728
SE-Driven Dynamic Convolution for Adaptive EEG-Based Driver Fatigue Detection Across Spectral, Spatial, and Temporal Domains.
Journal: Sensors (Basel, Switzerland)
In common: methods / tools, EEG, 1 reference
[4] doi:10.1038/s41598-026-41745-3
Integrating attractor dynamics and connectivity features for EEG-based dementia classification.
Journal: Scientific reports
In common: EEG, 2 references
[5] doi:10.1038/s41598-026-68506-6
Frequency-aware transformer networks for robust and generalizable EEG-based seizure detection.
Journal: Scientific reports
In common: methods / tools, EEG, 1 reference
[6] doi:10.1038/s41597-026-07807-x [code]
A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery.
Journal: Scientific data
In common: methods / tools, EEG, 1 reference
[7] doi:10.1038/s41597-026-07787-y
A multi-paradigm and longitudinal EEG dataset including the "sixth-finger" and "affected-hand" motor imagery of stroke patients.
Journal: Scientific data
In common: methods / tools, EEG, 1 reference
[8] doi:10.1038/s41598-026-56070-y [code]
SSDLabeler: realistic semi-synthetic data generation for multi-label artifact classification in EEG.
Journal: Scientific reports
In common: EEG, 2 references
[9] doi:10.7554/elife.103956 [code]
Human brain-wide activation of sleep rhythms.
Journal: eLife
In common: healthy, EEG, 1 reference
[10] doi:10.1038/s41398-026-04157-5 [code]
Association of glymphatic function with 40-Hz neural oscillations, systemic metabolic markers, and cognitive performance in healthy aging adults: An EEG and MRI study.
Journal: Translational psychiatry
In common: healthy, EEG, 1 reference

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.