on007648
CrossModal Study
EEG Zarr
…https://orcid.org/0000-0002-3461-038X ## Overview #Project Name "CrossModal Study…
- Participants
- 22
- Channels
- 63 (10-10)
- Citations
- 2
- Size
- 7.18 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
Discover datasets
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- on007663
CrossModal Study
MEG Zarr…https://orcid.org/0000-0002-3461-038X ## Overview #Project Name "CrossModal Study…
- Participants
- 27
- Citations
- 1
- Size
- 132 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000475
s500-generic-44: Crossmodal face-name person-identity frequency tagging, SEEG of the left ventral temporal cortex (Volfart et al., 2020) (derivative)
iEEG…Crossmodal face-name person-identity frequency tagging, SEEG of the left ventral…
- Participants
- 3
- Size
- 1.24 GB
- Version
- v1.0.0
- Updated
- Oct 13, 2026
- nm000389
Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings (Siebenhuehner et al., 2020): SEEG and MEG connectomes (derivative)
iEEG MEGThis derivative dataset repackages the public Dryad release accompanying Siebenhühner et al. (2020). It provides per-subject connectivity matrices computed from 10-minute resting-state SEEG (59 epilepsy patients) and MEG (19 healthy participants, plus a 10-participant eyes-open/eyes-closed cohort) recordings. The matrices cover phase synchrony (PLV, wPLI), cross-frequency phase synchrony, phase-amplitude coupling and amplitude-envelope coupling, each with surrogate values. Supporting files, neuropsychological scores and figure plot data are also included. Raw recordings are not included.
- Participants
- 84
- Size
- 13.1 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000291
Pan2023: Cross-session motor imagery dataset from Pan et al. 2023
EEGA cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.
- Participants
- 14
- Channels
- 28 (10-10)
- HED
- v8.4.0
- Size
- 1018 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000122
Chen2017 – Single-flicker online SSVEP BCI dataset
EEG Zarr…DFG TRR169/B1/Z2 Crossmodal Learning; Landesforschungsfoerderung Hamburg CROSS FV25 - **Ethics approval…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 52
- HED
- v8.4.0
- Size
- 10.9 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on007629
ROAMM
BEH EEG ZarrROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
- Participants
- 1
- Channels
- 64 (10-10)
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000300
Pan2025: Cross-session motor imagery dataset from Pan et al. 2025
EEGA cross-session motor imagery EEG dataset from 10 healthy participants who performed cued left- versus right-hand motor imagery across two sessions. Recordings used 28 EEG channels sampled at 250 Hz with a Neuroscan SynAmps2 amplifier, with roughly 180 trials per session. In session 2, test trials included online feedback. The data were re-released in BIDS format via MOABB for brain-computer interface research.
- Participants
- 10
- Channels
- 28 (10-10)
- HED
- v8.4.0
- Size
- 1.01 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on004574
Cross-modal Oddball Task.
BEH EEG ZarrEEG dataset from 146 participants (98 with Parkinson's disease and 48 controls) performing a cross-modal oddball task collected between 2017 and 2021. Each trial presented simultaneous visual and auditory pre-cues, either standard or oddball, followed by a directional arrow GO cue requiring a response. The dataset supports investigation of midfrontal neural activity and cognitive dysfunction in Parkinson's disease.
- Participants
- 146
- Channels
- 63 (10-10)
- Citations
- 4
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on007221
Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset
EEG ZarrThis dataset contains EEG recordings from motor imagery (left- and right-hand) tasks collected in different recording environments. The main dataset covers 84 healthy participants in a shielded laboratory and a simulated hospital environment, and is intended to study how environmental variability affects EEG-based brain-computer interface performance. A small supplementary dataset from 3 participants recorded in a space station environment extends the collection to a non-terrestrial, microgravity setting. Multiple paradigms are included: Graz, SSMVEP-MI, and hybrid video conditions.
- Participants
- 84
- Channels
- 69 (10-10)
- Size
- 144 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026