on004483
ABSeqMEG
MEG Zarr
…We tested this theory by probing working memory for 16-item sequences…
- Participants
- 19
- Citations
- 26
- Size
- 23.4 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
Discover datasets
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- nm000239
P-ary m-sequence-based c-VEP dataset from Martínez-Cagigal et al. (2023)
EEG Zarr…Non-binary m-sequences for more comfortable brain-computer interfaces based on…
- Participants
- 16
- Channels
- 16 (10-05)
- Citations
- 28
- HED
- v8.4.0
- Size
- 1.71 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026
- nm000346
Castillos et al. 2023, m-sequence 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…The full amplitude burst c-VEP sequences exhibited higher accuracy, ranging from…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 18
- HED
- v8.4.0
- Size
- 352 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000240
Checkerboard m-sequence-based c-VEP dataset from
EEG ZarrAn EEG dataset of code-modulated visual evoked potentials (c-VEP) elicited by checkerboard-pattern m-sequence stimuli, recorded from 16 healthy participants with 16 channels at 256 Hz. It was collected to evaluate how the spatial frequency of visual stimuli affects the performance and user experience of c-VEP-based brain-computer interfaces. Each stimulus condition is stored as a separate session, with three runs per session (two for training, one for testing). The data are distributed in BIDS format via MOABB.
- Participants
- 16
- Channels
- 16 (10-05)
- Citations
- 5
- HED
- v8.4.0
- Size
- 1.38 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026
- on005429
Auditory oddball comparison (Optimum-1, Learning-oddball, and the local–global paradigm)
EEG Zarr…The code used to run these sequences is included in the paradigms…
- Participants
- 15
- Channels
- 64 (10-10)
- Size
- 16.5 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on003922
Multisensory Correlation Detector
ANAT MEG Zarr…Importantly, the same audiovisual sequences were used in both tasks in order…
- Participants
- 14
- Citations
- 28
- Size
- 75.7 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on003694
MEGMEM
MEG ZarrMEGMEM is a magnetoencephalography (MEG) dataset of human episodic memory, released alongside a study of how neocortical alpha/beta and hippocampal theta/gamma activity contribute to memory. The dataset is organized in BIDS format and is mirrored on NEMAR from OpenNeuro (ds003694).
- Participants
- 28
- Citations
- 3
- Size
- 218 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on007471
Joint agency EEG dataset
BEH EEG Zarr…8 tone sequences - 4 musical duets - 4 constant pitch sequences - 5 joint…
- Participants
- 32
- Citations
- 1
- Size
- 8.06 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000155
MUniverse Caillet et al 2023
EMG ZarrA BIDS-formatted dataset of high-density surface EMG (HDsEMG) recordings from the right tibialis anterior of six healthy male participants. Four 64-channel grids (256 electrodes) recorded trapezoidal isometric dorsiflexion contractions at 30% and 50% of maximal voluntary contraction, together with force signals. The dataset supports studies of electrode grid design and motor unit identification.
- Participants
- 6
- Size
- 448 MB
- Version
- v1.0.1
- Updated
- Jun 1, 2026
- nm000196
c-VEP dataset from Thielen et al. (2015)
EEG Zarr…Visual stimulation with pseudo-random bit-sequences evokes specific Broad-Band Visually…
- Participants
- 12
- Channels
- 64 (10-10)
- Citations
- 74
- HED
- v8.4.0
- Size
- 11.0 GB
- Version
- v1.0.4
- Updated
- Oct 8, 2026