on007463
Very-High-Density Diffuse Optical Tomography System Validation Dataset
ANAT FUNC NIRS
…Imaging Neuroscience 2025; 3 IMAG.a.54. doi: https://doi.org/10…
- Participants
- 8
- Size
- 237 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "affective neuroscience" · page 5 of 10 · ranked by relevance
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- on006648
Poetry Assessment EEG Dataset 1
EEGThis dataset comprises 64-channel EEG recordings and behavioural ratings from 47 participants who read and evaluated 210 short English-language texts, including Haiku, Senryu, and non-poetic Control texts. Each text was rated on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. The dataset supports research into the neural and cognitive processes underlying aesthetic and creative engagement with poetic language, and includes resting-state EEG segments recorded before and after the experimental session.
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006963
Motor Control Processes Moderate Visual Working Memory Gating Dataset
EEG…The Journal of Neuroscience, 45(47), e0673252025. https://doi.org/10.1523…
- Participants
- 32
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 52.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007012
FOODEEG: An open dataset of human electroencephalographic and behavioural responses to food images
BEH EEGFOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
- Participants
- 117
- Size
- 91.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004843
T16
EEG[
- HED
- v8.1.0
- Size
- 7.66 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005815
A Human EEG Dataset for Multisensory Perception and Mental Imagery
EEGThe YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006801
Resting-state EEG before and after different study methods
EEG…The RECAP-EEG dataset may contribute to research in cognitive neuroscience and…
- Participants
- 21
- Channels
- 31
- Citations
- 1
- Size
- 1.32 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEGThe Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
- Participants
- 29
- Channels
- 64 (10-10)
- Size
- 7.44 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004851
HID
EEG[
- Citations
- 2
- Size
- 56.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005929
Motion-Yucel2014
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005929-blue…
- Participants
- 7
- Size
- 68.5 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026