on004446
The BMI-HDEEG dataset 2
EEG
[
- Citations
- 10
- Size
- 29.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "model interpretability" · page 6 of 10 · ranked by relevance
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- nm000167
Motor imagery dataset from Ma et al. 2020
EEG Zarr verifiedThis dataset contains 62-channel EEG recordings from 25 healthy, right-handed subjects performing kinesthetic motor imagery of the right hand versus right elbow, a within-limb discrimination paradigm. Each subject completed 15 sessions over 3 days, yielding 600 trials total, designed to study brain-computer interface (BCI) decoding of different joint movements from the same limb. The dataset supports research into motor rehabilitation and prosthetic control applications using EEG-based BCI systems.
- Participants
- 25
- Channels
- 62 (10-10)
- Citations
- 52
- HED
- v8.4.0
- Size
- 53.8 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on004598
LFP during linear track in 6-month old TgF344-AD rats
EEG[
- Size
- 26.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004980
EEG data set for a architectural affordances task
EEGThis dataset contains EEG recordings collected during an architectural affordances task, in which participants engaged with environments designed to elicit perception of action possibilities. The data are intended to support research on the neural correlates of spatial cognition and embodied perception of architectural environments.
- Participants
- 17
- Channels
- 64 (other)
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG Zarr verified…Key research objectives: - Generic models that work across users without calibration - Discrete…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- on002791
DataSet1
EEGThis dataset is a mirror of OpenNeuro ds002791, containing EEG recordings and associated metadata. The dataset includes raw EEG data in standard formats (.eeg, .vhdr, .vmrk) along with BIDS-compliant documentation and participant information in TSV format.
- Participants
- 23
- Channels
- 256 (egi-geodesic)
- Citations
- 4
- Size
- 47.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004706
Spatial memory and non-invasive closed-loop stimulus timing
BEH EEG…After collecting sufficient training data, classifier models predict recall in closed-loop…
- Participants
- 34
- Channels
- 128 (biosemi)
- Citations
- 5
- Size
- 1.30 TB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006104
EEG dataset for speech decoding
EEGThis dataset comprises EEG recordings from 24 participants across two related studies (2019 and 2021) investigating phoneme discrimination during concurrent transcranial magnetic stimulation (TMS) of motor and speech-related cortical regions. Participants listened to speech sounds—including single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords)—and responded via button press, enabling exploration of articulation and coarticulation effects on neural speech decoding. The dataset supports research into cortical mechanisms underlying speech perception and motor cortex involvement in phoneme processing.
- Participants
- 24
- Channels
- 61 (10-10)
- Citations
- 6
- Size
- 83.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003922
Multisensory Correlation Detector
ANAT MEG…by a time-resolved encoding model. *Nature Communications*. http://doi.org/10…
- Participants
- 14
- Citations
- 27
- Size
- 75.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000182
Multicenter iEEG dataset for classification of graphoelements and artifactual signals (MAYO)
iEEGA multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
- Participants
- 24
- Size
- 15.0 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026