on004587
IllusionGameEEG_data
BEH EEG Zarr
…if they end with inwards vs. outwards pointing arrows (*context*). The first…
- Participants
- 103
- Channels
- 59 (10-10)
- Size
- 219 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
Discover datasets
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- on005932
PWIe
EEG Zarr…Prime "distractor" words were presented before the picture for 200 ms and…
- Participants
- 29
- Channels
- 32 (10-10)
- Size
- 2.28 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on003688
Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
ANAT FUNC iEEG Zarr…dataset from stimulation with a short audiovisual film Full description of the…
- Participants
- 63
- Citations
- 10
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on007720
BCI-FIT: A customization protocol for communication brain-computer interface systems.
EEG Zarr…All target words were five letters long, and phrases were drawn randomly…
- Participants
- 5
- Channels
- 7 (10-10)
- Size
- 2.17 GB
- Version
- v1.0.0
- Updated
- Jun 19, 2026
- nm000398
Wakeful and sleep-like states in subdural ECoG (Pahwa et al., 2015): 4 patients, 64-channel grids
iEEG…12.1 vs 11.6; A_wake1: 15.0 vs 27.7…
- Participants
- 4
- Size
- 8.79 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000163
c-VEP and Burst-VEP dataset from Castillos et al. (2023)
EEG Zarr…This study introduces Burst c-VEP, an innovative variant involving short bursts…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 160 MB
- Version
- v1.0.0
- Updated
- May 11, 2026
- nm000344
Castillos et al. 2023, Burst c-VEP, 100% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr…This study introduces Burst c-VEP, an innovative variant involving short bursts…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000342
Castillos et al. 2023, m-sequence c-VEP, 40% amplitude depth: Burst c-VEP Based BCI: Optimizing stimulus design for enhanced classification with minimal calibration data and improved user experience
EEG Zarr…burst vs m-sequence × 100% vs 40% amplitude depth. Participants seated comfortably…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 19
- HED
- v8.4.0
- Size
- 340 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRS[
EEG Zarr…Copy spell seven predefined words of five characters each by focusing attention…
- Participants
- 8
- Channels
- 8 (10-10)
- Citations
- 89
- HED
- v8.4.0
- Size
- 241 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026