Discover datasets

This dataset contains continuous EEG, ECG, and EDA recordings from 63 participants who viewed and rated Streetview images of urban environments across nine subjective scales (e.g., valence, safety, beauty). The study aims to investigate how urban environmental features influence subjective appraisal and neural responses such as stimulus-locked ERPs. Data were collected in 2024 at the BeMoBIL lab, TU Berlin.

Participants

63

Channels

66 (other)

Citations

3

Size

34.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.

Participants

30

Channels

63 (10-10)

Citations

5

Size

41.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG and hand kinematics data recorded during an intention-action conflict paradigm, in which participants performed hand movements while cognitive intention and executed action were experimentally manipulated. The data are intended to support research into the neural and behavioral correlates of intention-action conflict. Data were organized into BIDS format for public sharing and analysis.

Participants

15

Channels

26 (10-10)

Citations

1

Size

7.42 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises 32-channel EEG recordings collected during a sham neurofeedback experiment conducted in a virtual reality environment. Participants underwent four conditions—positive feedback, negative feedback, control, and resting-state (eyes open/closed)—designed to examine how feedback valence influences alpha-band activity during an attentional task. The data were originally recorded in NeuroScan .cnt format and converted to BIDS using MNE-BIDS.

Participants

36

Channels

29 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings collected using a Visual Attribute-Specific Contextual Trajectory Paradigm, designed to investigate visual attention and perceptual processing of moving stimuli. It provides raw electrophysiological data intended to support research into contextual and attribute-specific visual trajectory processing in humans.

Participants

35

Citations

1

Size

11.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings collected as part of the NeuroTechs project examining STEM skills. Data were acquired using the Unicorn EEG device and converted to BIDS format, with signal values expressed in microvolts. The dataset is intended to support research on neural correlates of STEM-related cognitive processes.

Participants

63

Channels

8 (10-10)

Size

1.39 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 24 pairs of participants who performed a collaborative 4-way categorisation task based on rules they agreed upon together, along with pre- and post-test sessions using the same stimuli. The study investigates whether collaborative rule learning promotes alignment of neural information between interacting brains, contributing to research on interbrain synchrony and social cognition.

Participants

24

Citations

3

Size

62.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

The RECAP-EEG dataset provides resting-state electroencephalography recordings from 21 neurotypical undergraduate students collected before and after different study interventions (active retrieval practice, passive review, and control conditions) at the Federal University of Paraíba, Brazil. The dataset aims to support research into the neural correlates of learning, retrieval practice, and educational neuroscience. Recordings include pre- and post-intervention resting-state EEG with eyes-open and eyes-closed blocks.

Participants

21

Channels

31

Citations

1

Size

1.32 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 30 participants who performed a Multiple Object Monitoring (MOM) task, designed to investigate attentional tracking of multiple moving objects. The data were collected to examine the neural correlates underlying dynamic attention allocation and object monitoring processes. The dataset is intended for use in cognitive neuroscience research on visual attention and working memory.

Participants

30

Size

11.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains 64-channel EEG recordings from 62 participants (31 pairs) who played a competitive, computerised version of the Rock-Paper-Scissors game across 480 games. The study investigates the neural correlates of competitive decision-making during real-time social interaction. This dataset supports research on neural decoding of strategic choices in a dyadic competitive context.

Participants

31

Channels

64

Citations

6

Size

78.0 GB

Version

v1.0.0

Updated

Aug 19, 2026