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

Code ↔ Paper

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

Paper

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The authors' code

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

  1. import pandas as pd
  3. INFORMATIVE = frozenset({
  4. 'BACK1', 'BACK2', 'DOWN1', 'DOWN2', 'FORWARD1', 'FORWARD2',
  5. 'LEFT1', 'LEFT2', 'NEXT1', 'NEXT2', 'RIGHT1', 'RIGHT2', 'UP1', 'UP2',
  6. })
  8. SERVICE = frozenset({'GO', 'GZ'})
  10. # Subjects whose recording used an alternative paradigm:
  11. # one marker covered multiple repetitions (~1 s epochs cut post-hoc).
  12. ATYPICAL = frozenset({
  13. ('Russian', 'sub1'),
  14. ('Russian', 'sub3'),
  15. ('Russian', 'sub5'),
  16. ('Russian', 'sub6'),
  17. ('Russian', 'sub10'),
  18. })
  20. _ROWS = [
  21. # label id_ru id_es english russian spanish speech_type
  22. ('BACK1', 1, 1, 'back', 'назад', 'atrás', 'overt'),
  23. ('BACK2', 2, 2, 'back', 'назад', 'atrás', 'inner'),
  24. ('DOWN1', 3, 3, 'down', 'вниз', 'abajo', 'overt'),
  25. ('DOWN2', 4, 4, 'down', 'вниз', 'abajo', 'inner'),
  26. ('FORWARD1', 5, 5, 'forward', 'вперёд', 'adelante', 'overt'),
  27. ('FORWARD2', 6, 6, 'forward', 'вперёд', 'adelante', 'inner'),
  28. ('GO', 7, 7, 'go', 'старт', 'inicio', 'service: block start'),
  29. ('GZ', 8, 8, 'rest', 'покой', 'descanso', 'service: rest/baseline'),
  30. ('LEFT1', 9, 9, 'left', 'влево', 'izquierda', 'overt'),
  31. ('LEFT2', 10, 10, 'left', 'влево', 'izquierda', 'inner'),
  32. ('NEXT1', 11, None, 'next', 'дальше', '—', 'overt (RU only)'),
  33. ('NEXT2', 12, None, 'next', 'дальше', '—', 'inner (RU only)'),
  34. ('RIGHT1', 13, 11, 'right', 'вправо', 'derecha', 'overt'),
  35. ('RIGHT2', 14, 12, 'right', 'вправо', 'derecha', 'inner'),
  36. ('UP1', 15, 13, 'up', 'вверх', 'arriba', 'overt'),
  37. ('UP2', 16, 14, 'up', 'вверх', 'arriba', 'inner'),
  38. ]
  40. LABEL_INFO = pd.DataFrame(
  41. _ROWS,
  42. columns=['label', 'id_russian', 'id_spanish', 'english', 'russian', 'spanish', 'speech_type'],
  43. ).set_index('label')

labels.py at commit 649ec92, no license · at the source

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
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

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  • 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);
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Data

Datasets cited

Data availability statement

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  • 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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"container-title": "Scientific data",
"author": [
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"family": "Kostulin",
"given": "D. V."
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"issued": {
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