on006126
TDCS Modulation of Visual Cortex in Motor Imagery
EEG
Imported from OpenNeuro ds006126
- Participants
- 6
- Channels
- 3 (other)
- Size
- 1.08 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "translational neuroscience" · page 9 of 10 · ranked by relevance
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- nm000329
Brandl et al. 2020 — Motor Imagery Under Distraction: An Open Access BCI Dataset
EEG…Frontiers in Neuroscience, 14, 566147. https://doi.org/10.3389/fnins.2020…
- Participants
- 16
- Channels
- 63 (10-05)
- Citations
- 12
- HED
- v8.4.0
- Size
- 61.6 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on006647
Poetry Assessment EEG Dataset 2
EEGThis dataset comprises 64-channel EEG recordings and behavioral ratings from 4 participants (P105, P141, P142, P146; anonymized as sub-001 to sub-004 in BIDS format) who evaluated 210 short English-language texts (70 Haiku, 70 Senryu, and 70 control texts) on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. IMPORTANT: These 4 participants were EXCLUDED from primary analyses due to segmented EEG recordings acquired in multiple sessions and subsequently concatenated during preprocessing, which introduced potential artifacts. This is a companion dataset to Poetry Assessment EEG Dataset 1 (47 participants with validated continuous recordings used in primary analyses). Poetry Assessment EEG Dataset 2 is included for completeness and transparency, enabling users to apply their own quality control pipelines if desired. The dataset includes resting-state EEG (trigger codes: 65285, 65286 for pre-experiment; 65287, 65288 for post-experiment), trial-by-trial behavioral ratings, and psychometric responses (PANAS, Openness, Curiosity, VVIQ, AVIQ, MAAS, AReA), enabling investigation of neural correlates of aesthetic and creative cognition during poetic language processing. All preprocessing steps, event markers, and metadata structures were applied identically across both Poetry Assessment EEG datasets.
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG…Yahya Shirazi, SCCN (Swartz Center for Computational Neuroscience), INC (Institute for Neural…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Jul 10, 2026
- nm000271
Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)
EEGA multi-paradigm EEG dataset comprising scalp electroencephalography recordings from 28 participants performing and imagining upper-limb rehabilitation exercises. This dataset is designed to support research on motor imagery and rehabilitation brain-computer interfaces (BCI) for upper-limb motor function recovery and assessment.
- Participants
- 28
- Citations
- 2
- Size
- 3.46 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEGNeuroMorph is a high-temporal resolution magnetoencephalography (MEG) dataset comprising recordings from 24 subjects totaling over 17 hours of data acquired using a KIT/Yokogawa system with 208 magnetometer channels. The dataset is designed to support morpheme-based linguistic analysis and investigation of language and cognitive processes through visual presentation paradigms, providing a resource for studying neural mechanisms of language processing at fine temporal resolution.
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006890
Longitudinal Multitask Wireless ECoG Data from Two Fully Implanted Macaca fuscata
iEEG…to facilitate reproducible research in neuroscience. Keywords: wireless subdural ECoG, iEEG, Macaca…
- Participants
- 2
- Size
- 41.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006848
AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits
BEH EEGThis dataset comprises 64-channel EEG recordings with concurrent ECG and PPG measurements from 30 healthy young adults during resting state and a verbal working memory task. Participants performed digit span recall under four presentation modes (simultaneous, fast sequential, fast sequential with delay, and slow sequential), enabling investigation of neural oscillations and peripheral physiological responses during working memory encoding, maintenance, and retrieval. The dataset includes behavioral accuracy measures and trial-by-trial performance metrics.
- Participants
- 30
- Channels
- 63 (10-10)
- Size
- 41.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006839
EEG recordings during sham neurofeedback in virtual reality
EEG[
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEGThe Podcast ECoG dataset provides intracranial electrophysiological recordings from 9 participants with 1,330 electrodes during natural story listening. This dataset combines high spatiotemporal resolution human electrocorticography with a naturalistic language comprehension paradigm, including raw and preprocessed high-gamma data, auditory stimuli, word-level transcripts, and linguistic features from acoustic properties to large language model embeddings. The resource includes tutorials and serves as both a pedagogical tool and foundation for investigating neural mechanisms of narrative comprehension.
- Participants
- 9
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026