nm000112
FACED - Finer-grained Affective Computing EEG Dataset
EEG Zarr verified
- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 97
- Size
- 31.4 GB
- Version
- v1.1.3
- Updated
- Jul 10, 2026
Discover datasets
100 results for "cue reactivity" · page 6 of 10 · ranked by relevance
-
- on007738
Whole-Head Cocktail Party fNIRS
NIRS…Subjects orient their eyes to the cue; ~15-17 s later a…
- Participants
- 38
- Size
- 37.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000252
Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)
EEG…The study employed a motor imagery paradigm with auditory and visual cues…
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 1.27 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on007663
CrossModal Study
MEG…auditory cue --> auditory target 2. visual cue --> visual target Block 2 1…
- Participants
- 27
- Citations
- 2
- Size
- 132 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on008062
EEG and hedonic responses to sonic-seasoning soundscapes
EEGThis dataset contains EEG recordings and hedonic (liking) ratings collected from participants exposed to sonic-seasoning soundscapes (jungle and deconstruct), alongside eyes-open and eyes-closed resting calibration baselines. Data were recorded with EPOC X consumer-grade EEG hardware and include behavioral survey responses and stimulus audio files. The dataset supports research on crossmodal sensory perception and the influence of auditory soundscapes on hedonic evaluation.
- Participants
- 30
- Channels
- 14 (10-10)
- Size
- 23.4 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEHThe Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
- Size
- 880 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003822
EEG: Probabilistic Learning with Affective Feedback: Exp #1
EEGThis EEG dataset comprises recordings from 25 college-age participants performing a reinforcement learning task with affective feedback, collected in 2018 at the Clinical Research Center Laboratory (CRCL) at the University of New Mexico. The study investigates the reward positivity component of the event-related potential and its sensitivity to affective liking during probabilistic learning. The dataset includes raw EEG data, behavioral task parameters, and analysis scripts supporting the published findings in Cognitive, Affective, & Behavioral Neuroscience.
- Participants
- 25
- Channels
- 66 (10-10)
- Size
- 5.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005586
Electroencephalographic responses to the number of objects in partially occluded and uncovered scenes
EEGThis dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.
- Participants
- 23
- Channels
- 60 (10-10)
- Size
- 28.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004152
Drum Trainer
BEH EEGThis dataset contains behavioral and EEG data from twenty-one participants who learned to perform two drumming sequences (AABA and AAABAA) at three tempos (60, 100, and 150 bpm) using keyboard responses. Trial-by-trial visual feedback indicated timing accuracy relative to an adaptive response window, allowing investigation of motor learning and timing control. The dataset includes detailed event coding for stimulus conditions and feedback types across trials.
- Participants
- 21
- Channels
- 31 (10-10)
- Citations
- 1
- Size
- 4.77 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000137
Classical motor imagery dataset with left hand, right hand, and rest
EEG Zarr verified…visual arrow cue - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous - **Mode…
- Participants
- 7
- Channels
- 19 (10-20)
- Citations
- 81
- HED
- v8.4.0
- Size
- 1.20 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026