on005410
Semantic_conditioning
EEG Zarr
…Contingency awareness shapes neural responses in fear conditioning. https://doi.org/10…
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
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- on007114
SUBEMOcondEEG1
BEH EEG Zarr…The task consisted of a fear conditioning paradigm with a Pre-Conditioning…
- Participants
- 28
- Channels
- 68 (10-10)
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEG ZarrThis dataset contains raw and processed magnetoencephalography (MEG) recordings from a study of model-based aversive learning in humans. The study examines how learning about aversive outcomes is supported by preferential reactivation of task states. Raw data are provided as .fif files, alongside derived processed data.
- Participants
- 28
- Citations
- 3
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on003753
EEG: Probabilistic Learning with Affective Feedback: Exp #2
EEG ZarrEEG recordings from 25 college-age participants performing a probabilistic reinforcement learning task with affective feedback (Experiment 2). The dataset was collected to examine how the Reward Positivity (RewP) event-related potential is sensitive to affective liking of feedback stimuli. Data were acquired circa 2019 at the University of New Mexico.
- Participants
- 25
- Channels
- 66 (10-10)
- Size
- 4.62 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on005540
EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
BEH EEG Zarr…joy, inspiration, tenderness, fear, disgust, sadness, and neutral emotion. The emotional experience…
- Participants
- 60
- Channels
- 64
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on004295
Reward gain and punishment avoidance reversal learning
EEG ZarrEEG recordings from participants performing two reversal learning tasks that differ in reinforcer type: monetary reward versus avoidance of an aversive loud white noise burst. In the reward task, positive feedback meant a gain of 10 cents and negative feedback meant no gain. In the punishment task, positive feedback meant the noise burst was successfully avoided and negative feedback meant the noise was delivered. Noise intensity was titrated per participant to match the motivational value of the 10 cent reward.
- Participants
- 26
- Channels
- 66 (10-10)
- Citations
- 10
- Size
- 31.5 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- nm000112
FACED - Finer-grained Affective Computing EEG Dataset
EEG Zarr…The dataset includes four negative emotions (anger, fear, disgust, sadness) from Ekman…
- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 94
- Size
- 31.4 GB
- Version
- v1.1.3
- Updated
- May 29, 2026
- on003822
EEG: Probabilistic Learning with Affective Feedback: Exp #1
EEG ZarrEEG recordings from 25 college-aged participants performing a probabilistic reinforcement learning task with affective feedback. Data were collected around 2018 in the CRCL at the University of New Mexico to examine how the Reward Positivity is influenced by affective liking of feedback. Additional scripts are included to clarify stimulus triggers and support secondary analyses.
- Participants
- 25
- Channels
- 66 (10-10)
- Size
- 5.82 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEG Zarr…Subjects were presented with dynamic visual sequences of fearful faces (aversive condition…
- Participants
- 9
- Citations
- 24
- Size
- 297 MB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on006502
Skill learning and consolidation in healthy humans
ANAT MEG ZarrA longitudinal MEG dataset investigating brain activity during early skill learning, overnight consolidation, and longer-term retention in 31 healthy right-handed adults. Participants performed a sequential finger tapping task with the non-dominant left hand across up to three MEG sessions (initial training, about 24 hours later, and about 30 days later), with resting-state scans before and after practice. Anatomical MRI, behavioral responses, eye tracking and pupillometry, and forearm EMG were also recorded and synchronized with MEG.
- Participants
- 31
- Size
- 95.8 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026