Discover datasets

EEG dataset from a reinforcement learning task (probabilistic selection task, PST) performed by 50 healthy controls after either a sad or neutral mood manipulation (25 per group). The task has a training phase and a testing phase, and the mood induction took place separately beforehand. Data were collected between 2019 and 2021 at the Cognitive Rhythms and Computation Lab, University of New Mexico.

Participants

50

Channels

66 (10-10)

Citations

1

Size

9.81 GB

Version

v1.0.0

Updated

Jun 24, 2026

…Beck Depression Inventory-II total score, cognitive-affective subscale score, and somatic…

Participants

69

Channels

64 (10-10)

Citations

1

Size

34.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

EEG dataset from a reinforcement learning study of 50 healthy controls, 25 tested after a sad mood manipulation and 25 after a happy mood manipulation. Participants completed a probabilistic selection task with training and testing phases. The task was adapted from a Parkinsonism reinforcement learning paradigm, and the mood manipulation was delivered before each training block.

Participants

50

Channels

66 (10-10)

Citations

1

Size

18.3 GB

Version

v1.0.0

Updated

Jun 24, 2026

…and eye diseases; psychiatric and affective disorders; head injuries, head surgery, and…

Participants

608

Channels

64 (10-10)

Size

74.1 GB

Version

v1.0.0

Updated

Jun 14, 2026

…Early response Add 80: On time response Add 100: Late response Add…

Participants

21

Channels

31 (10-10)

Citations

2

Size

4.77 GB

Version

v1.0.0

Updated

Jun 23, 2026

EEG dataset from forty participants who read an interactive story containing decision points. On each trial participants saw an item, made a yes/no decision, and received correct or incorrect feedback. The design compares a narrative condition, with story context at item onset and after feedback, against a nonnarrative condition with no such context. It is intended for studying how narrative context affects reward and feedback processing.

Participants

40

Channels

32

Size

2.85 GB

Version

v1.0.0

Updated

Jun 19, 2026

…Therefore, there are many trials with no response_accuracy or response_times…

Participants

69

Channels

64 (other)

Citations

4

Size

650 GB

Version

v1.0.0

Updated

Jun 29, 2026

High-density EEG recorded from resting, eyes-closed participants who used voice-guided imagery to enter 15 distinct emotional states, including positive states such as joy and negative states such as sadness and anger. Participants pressed a button when they began to feel the target emotion and again when the feeling waned, with relaxation instructions between the imagery periods. The dataset supports research on EEG-based emotion recognition and brain state dynamics during emotion imagination.

Participants

34

Channels

224 (biosemi)

Citations

73

Size

36.0 GB

Version

v1.0.0

Updated

Jun 21, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005776-blue…

Participants

11

Size

1.20 GB

Version

v1.0.0

Updated

Jun 18, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004774-blue…

Participants

14

Size

30.2 GB

Version

v1.0.0

Updated

Jun 25, 2026