Discover datasets

62 results for "matrix speller" · page 4 of 7 · ranked by relevance

License

License filtering isn't available while searching — clear the search box to filter by license.

Participants

Features

Has HED annotation
Has Zarr viewer
Zarr viewer verified
Has data quality Phase 3

Zarr filters aren't available while searching — clear the search box to filter by them.

Channels & montage

Channel density Electrode system

Channel and montage filters apply while browsing — clear the search box to use them.

Sort

Results are ranked by relevance while searching.

Reset

nm000326
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study C)

EEG

…within_subject BCI Application --------------- Applications: speller Environment: laboratory Online feedback: True Tags…

Participants

19

Channels

32 (10-10)

HED

v8.4.0

Size

4.11 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000301
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study D)

EEG

…within_subject BCI Application --------------- Applications: speller Environment: laboratory Online feedback: True Tags…

Participants

17

Channels

32 (10-10)

HED

v8.4.0

Size

2.41 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000303
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study O)

EEG

…within_subject BCI Application --------------- Applications: speller Environment: laboratory Online feedback: True Tags…

Participants

18

Channels

32 (10-10)

HED

v8.4.0

Size

3.23 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000336
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study R)

EEG

…within_subject BCI Application --------------- Applications: speller Environment: laboratory Online feedback: True Tags…

Participants

20

Channels

32 (10-10)

HED

v8.4.0

Size

6.59 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000321
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study Q)

EEG

…within_subject BCI Application --------------- Applications: speller Environment: laboratory Online feedback: True Tags…

Participants

36

Channels

32 (10-10)

HED

v8.4.0

Size

3.70 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000313
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study S2)

EEG

…within_subject BCI Application --------------- Applications: speller Environment: laboratory Online feedback: True Tags…

Participants

24

Channels

32 (10-10)

HED

v8.4.0

Size

3.74 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
nm000188
BNCI 2014-009 P300 dataset

EEG

…P300 Speller (overt attention) and GeoSpell (covert attention). 36 alphanumeric characters presented…

Participants

10

Channels

16 (10-10)

Citations

79

HED

v8.4.0

Size

247 MB

Version

v1.0.2

Updated

Aug 18, 2026

by P Aricò et al.
on002761
memoryreplay

MEG

…a specified 6 × 6 transition matrix by taking the Frobenius inner product…

Participants

25

Citations

13

Size

204 GB

Version

v1.0.0

Updated

Jul 10, 2026

by G. Elliott Wimmer et al. OpenNeuro ds002761
on003190
Assesment of the visual stimuli properties in P300 paradigm

EEG

…data stream in a 2D matrix where rows correspond to channels and…

Participants

19

Channels

9 (10-10)

Citations

3

Size

1.27 GB

Version

v1.0.0

Updated

Jul 22, 2026

by Omar Mendoza-Montoya et al. OpenNeuro ds003190
nm000189
BNCI 2015-003 P300 dataset

EEG

…Auditory BCI speller using spatial cues (AMUSE paradigm) allowing purely auditory communication…

Participants

10

Channels

8 (10-10)

Citations

81

HED

v8.4.0

Size

74.4 MB

Version

v1.0.3

Updated

Aug 18, 2026

by Martijn Schreuder et al.