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A longitudinal wireless subdural electrocorticography (ECoG) dataset from two fully implanted macaque monkeys (Macaca fuscata), organized in BIDS-iEEG format. The dataset comprises multiple recording sessions acquired weekly using an inductively powered wireless implant during rest and task-based conditions (pressing, reaching, listening, and sensorimotor tasks). This resource enables reproducible research in primate neurophysiology and brain-computer interface development. The dataset was independently curated and reorganized from in-house raw recordings (.bin files) using a custom BIDS converter. The original in-house raw recordings that served as the source for this BIDS-organized dataset are not publicly released. While a related version exists on OpenNeuro (ds006890), this dataset represents an independently maintained BIDS reorganization of the original in-house recordings.

Participants

2

Citations

4

Size

41.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains 64-channel EEG recordings and behavioral ratings from 148 healthy adults performing an Emotion Processing and Regulation task using static emotional images. The study examines discrepancies between self-reported and neurophysiological socio-affective responses in relation to loneliness, using a factorial design manipulating stimulus content (social/non-social) and regulation instructions (watch-neutral, watch-negative, reappraise-negative). Participants rated arousal and valence after viewing each stimulus, enabling analysis of the relationship between subjective and physiological emotional responses.

Participants

148

Channels

69 (10-10)

Size

118 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG and behavioral recordings from a study examining the effects of transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex on emotion processing and regulation in lonely individuals. 120 participants completed two sessions (sham and active stimulation) involving an emotion regulation task with static social and non-social images, rated on arousal and valence. The dataset includes raw EEG, behavioral ratings, and derived ERP data, along with questionnaires assessing side effects and blinding effectiveness.

Participants

120

Channels

37 (10-10)

Size

53.6 GB

Version

v1.0.0

Updated

Aug 19, 2026

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