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EEG-based brain-computer interface (BCI) dataset for directional word recognition.

Code ↔ Paper

1 match between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 1 match
  1. [1] § Methods › Experimental paradigm ↔ utils/labels.py, lines 10–43 · score 0.56 · abajo, adelante, arriba, atr, derecha, izquierda

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Python · 43 lines · 2.1 KB · no license · 1 match

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It can be read at the source: utils/labels.py.

Overview

Authors: D. V. Kostulin1, P. D. Shaposhnikov1, A.Kh. Ekizyan1, I. G. Shevchenko1, D. G. Shaposhnikov1, I. V. Shcherban1, V. N. Kiroy1
  1. Research Center of Neurotechnologies, Southern Federal University,Prospekt Stachki 194 avenue, Rostov-on-Don, 344090 Russia
Institutions: Southern Federal University (Russia)
Journal: Scientific data, volume 13, issue 1, article 1195
Dates: received 18 February 2026; accepted 30 June 2026; published online 17 August 2026
Type: Data paper · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41597-026-07809-9 · PMID 42608413 · PMCID PMC13482365 · OpenAlex W7138857732
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), other (modality), human (organism), methods / tools (subfield)
Methods: Spectral & time-frequency, Preprocessing, Smoothing, state filtering, decompositions, Physiology & signal measures
MeSH: Brain-Computer Interfaces*, Electroencephalography*, Electromyography, Humans, Machine Learning (* major topic)
Journal subjects: Data Descriptor
Citations: cited by 1 paper (Europe PMC); 33 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.

Repository

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

AvedikEkiz/inner-speech-bci

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: 649ec92cfeec7e9868bf8c9ac0ee6444cdb3c067, 26 August 2026
Languages: Python (3), Jupyter (1)
Size: 7 files, 4 scripts
Software Heritage: not archived
Found in: “Code availability”
Holds: README, environment (requirements.txt), 1 notebook
Not found: license file, CITATION.cff, tests, continuous integration, documentation
Tools: pandas (3 files), MNE-Python (2 files), NumPy (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
5 files, not copied: shown from their source

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At the source: github.com/AvedikEkiz/inner-speech-bci

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:

Read it in the paper: doi.org/10.1038/s41597-026-07809-9.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 4 scripts, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

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/s41597-026-07809-9.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 5 MeSH terms, 26 references.

Cite

This paper

Kostulin, D. V., Shaposhnikov, P. D., Ekizyan, A., Shevchenko, I. G., Shaposhnikov, D. G., Shcherban, I. V., & Kiroy, V. N. (2026). EEG-based brain-computer interface (BCI) dataset for directional word recognition. Scientific data, 13(1), 1195. https://doi.org/10.1038/s41597-026-07809-9

BibTeX

@article{kostulin2026eeg,
author = {Kostulin, D. V. and Shaposhnikov, P. D. and Ekizyan, A.Kh. and Shevchenko, I. G. and Shaposhnikov, D. G. and Shcherban, I. V. and Kiroy, V. N.},
title = {{EEG-based brain-computer interface (BCI) dataset for directional word recognition}},
journal = {Scientific data},
year = {2026},
month = aug,
volume = {13},
number = {1},
pages = {1195},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07809-9},
url = {https://doi.org/10.1038/s41597-026-07809-9},
pmid = {42608413},
pmcid = {PMC13482365}
}

RIS

TY - JOUR
AU - Kostulin, D. V.
AU - Shaposhnikov, P. D.
AU - Ekizyan, A.Kh.
AU - Shevchenko, I. G.
AU - Shaposhnikov, D. G.
AU - Shcherban, I. V.
AU - Kiroy, V. N.
TI - EEG-based brain-computer interface (BCI) dataset for directional word recognition
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/08/17
VL - 13
IS - 1
SP - 1195
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07809-9
UR - https://doi.org/10.1038/s41597-026-07809-9
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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