Discover datasets

This dataset presents multimodal simultaneous fMRI/EEG data collected from participants performing an auditory category learning task, alongside resting-state fMRI scans. Each dataset includes 63-channel EEG with additional ECG, EOG, facial EMG, and skin conductance recordings, a physiological file capturing respiration and finger-pulse signals, and structural MRI (T1-weighted and PD-weighted UTE) scans for anatomical reference and electrode localization. Collected at the Combinatorial NeuroImaging core facility of the Leibniz Institute for Neurobiology, the data support research into multi-dimensional auditory category learning and its neural correlates.

Participants

34

Channels

72 (10-10)

Citations

9

Size

6.43 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset presents a case study examining the physiological effects of directed therapeutic intent, as practiced by a self-identified energy medicine practitioner, on live versus damaged (irradiated) cell cultures. Using a double-blind, randomized design, the practitioner underwent 60 sessions total (40 with live cells, 10 with medium only, and 10 with dead/x-rayed cells), each structured into baseline, treatment, and control segments while physiological recordings were obtained. The study aimed to investigate potential correlations between practitioner physiology and cellular outcomes under controlled conditions.

Participants

1

Channels

65 (10-10)

Size

1.68 GB

Version

v1.0.0

Updated

Aug 19, 2026

An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.

Participants

29

Channels

64 (10-10)

Size

16.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Finally, a memory test was performed the next day on the 2…

Participants

18

Channels

64 (10-10)

Citations

2

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

ROAMM is a large-scale multimodal dataset combining simultaneous EEG and eye-tracking recordings collected during naturalistic reading, with span-level mind-wandering annotations from 44 participants. It provides a benchmark for mind-wandering detection and EEG-to-text decoding, supporting research on attention-related degradation in language decoding from brain activity during naturalistic reading.

Participants

1

Channels

64 (10-10)

Citations

2

Size

46.6 GB

Version

v1.0.0

Updated

Aug 18, 2026

…multi-source interference task (MSIT) and Sternberg’s memory task * Blood tests…

Participants

79

Citations

36

Size

240 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

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006768-blue…

Participants

30

Size

11.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises repeated-awakening EEG recordings collected during propofol sedation, designed to explore dream experiences and consciousness dynamics under anesthesia. EEG data were acquired across wakefulness (eyes open/closed) and multiple sedation and awakening conditions, including sessions with transcranial magnetic stimulation. The study aims to evaluate whether EEG complexity measures can capture subjective dream reports elicited through repeated awakenings during propofol-induced sedation.

Participants

21

Channels

65 (10-10)

Citations

23

Size

77.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 16 participants viewing object images presented in eight different 2-D rotations, using rapid visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of rotation-tolerant object representations and the time course of high-level visual object processing. EEG data are formatted according to the BIDS standard.

Participants

16

Size

18.3 GB

Version

v1.0.0

Updated

Aug 19, 2026