on004703
sEEG Passive listening to natural speech
ANAT iEEG
…of training set for commercial machine learning applications. These data may not…
- Participants
- 10
- Size
- 13.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "support vector machine" · page 5 of 10 · ranked by relevance
-
- on005207
Surrey cEEGrid sleep data set
EEG…The data set was previously described in the paper 'Machine-learning-derived…
- Participants
- 20
- Channels
- 6 (other)
- Citations
- 94
- Size
- 69.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC…https://github.com/LTU-Machine-Learning/Inner_Speech_EEG_FMRI Publication available…
- Participants
- 4
- Channels
- 64 (10-10)
- Citations
- 27
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006142
Essex EEG Movie Memory dataset
EEG…Association for Computing Machinery, New York, NY, USA, 178–186. https://doi…
- Participants
- 27
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on008465
NeuralEcho MACS high-density communication-related EEG dataset
EEG…EEGLAB preprocessing derivatives and subject-level machine-learning exports are under derivatives…
- Participants
- 30
- Channels
- 124 (10-05)
- Size
- 181 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- nm000263
Visual object ERP EEG dataset (Kaneshiro et al. 2015)
EEGA high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
- Participants
- 10
- Channels
- 124 (egi-geodesic)
- Citations
- 93
- HED
- v8.4.0
- Size
- 3.40 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000277
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study G)
EEG[
- HED
- v8.4.0
- Size
- 1.62 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004276
Auditory single word recognition in MEG
BEH MEGThis dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
- Participants
- 19
- Citations
- 1
- Size
- 11.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEG[
- HED
- v8.4.0
- Size
- 1.49 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026