on005415
Numbers
ANAT BEH iEEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005415-blue…
- Participants
- 13
- Size
- 13.4 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
100 results for "affective processing" · page 6 of 10 · ranked by relevance
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- on006647
Poetry Assessment EEG Dataset 2
EEGThis dataset comprises 64-channel EEG recordings and behavioral ratings from 4 participants (P105, P141, P142, P146) 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. Poetry Assessment EEG Dataset 2 is a subset of a larger 51-participant study; these 4 participants were excluded from primary analyses because their EEG recordings were acquired in segments due to session interruptions and subsequently concatenated during preprocessing. The dataset includes resting-state EEG, trial-by-trial behavioral ratings, and psychometric responses (PANAS, Openness, Curiosity, VVIQ, AVIQ, MAAS, AReA), and is provided for completeness and transparency to enable users to apply their own quality control pipelines.
- Participants
- 4
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on004262
Continuous Feedback Processing
BEH EEG…82901/nemar.on004262) # Continuous Feedback Processing Twenty-one participants learned to predict…
- Participants
- 21
- Size
- 3.47 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEGThis derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.
- Participants
- 28
- Size
- 301 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- nm000148
Motor imagery BCI dataset with pupillometry augmentation
EEG- Participants
- 30
- Size
- 975 MB
- Version
- v1.0.0
- Updated
- May 25, 2026
- on004212
THINGS-MEG
ANAT MEG…object representations visual and semantic processing of objects requires a broad, comprehensive…
- Participants
- 5
- Size
- 1.03 TB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on003838
EEG, pupillometry, ECG and photoplethysmography, and behavioral data in the digit span task and rest
BEH EEGThis dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
- Participants
- 86
- Citations
- 54
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on005691
SpinalExpect_Invasive
iEEG…The goal was to reveal whether temporal expectation influences initial sensory processing…
- Participants
- 8
- Size
- 722 MB
- Updated
- Jun 27, 2026
- on003690
EEG, ECG and pupil data from young and older adults: rest and auditory cued reaction time tasks
EEGThis dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.
- Participants
- 75
- Citations
- 29
- Size
- 21.5 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on006563
Dimension-based attention modulates early visual processing
EEG…and Müller, H.J. (2010), Dimension-based attention modulates early visual processing…
- Participants
- 12
- Size
- 5.63 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026