Discover datasets

The Flankers-NEAR dataset comprises event-related potential (ERP) recordings collected during a visual word recognition task with flanker manipulation. Participants viewed four-letter words and pseudowords presented with varying flanker conditions (no flanker, identical flankers, or different flankers) while their neural responses were recorded. This dataset provides neurophysiological evidence for understanding how contextual linguistic information modulates word recognition processes.

Participants

60

Channels

32 (10-10)

Size

3.57 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalogram (EEG) recordings from 127 young adults (18-30 years) collected during standardized cognitive tasks designed to assess perception, cognition, and action. Participants completed tasks from the Event-Related Potentials Compendium of Open Resources and Experiments (ERP CORE) or adapted variants thereof. The dataset integrates neurophysiological measures with comprehensive socioeconomic indicators spanning childhood and adulthood, including family SES, educational attainment, income, food security, and neighborhood characteristics, as well as ADHD symptom screening. This resource enables investigation of the relationship between socioeconomic context and neural electrophysiology in a diverse young adult population.

Participants

127

Channels

27

Size

10.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A raw electrophysiological dataset containing long-term potentiation (LTP) delay repetition free recall task recordings. This dataset provides neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and sharing of electrophysiological measurements collected during cognitive tasks involving memory encoding and retrieval.

Participants

33

Channels

128 (biosemi)

Size

284 GB

Version

vv1.0.0

Updated

Jul 10, 2026

The Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging resource combines high spatial resolution from fMRI with high temporal resolution from EEG and MEG to investigate neural mechanisms of object recognition in natural scenes, providing a unique opportunity to examine brain activity patterns across both stimuli and subjects.

Participants

19

Channels

62 (10-10)

Size

24.3 GB

Version

vv1.0.0

Updated

Jul 22, 2026

MULTI-CLARID is a multimodal neuroimaging dataset combining simultaneous fMRI and EEG recordings from participants performing an auditory category learning task and resting-state fMRI. The dataset includes 64-channel EEG (63 head channels plus ECG) with physiological monitoring (EOG, facial EMG, skin conductance), structural MRI (T1-weighted and PD-weighted UTE), and behavioral measures. This resource enables investigation of neural mechanisms underlying category learning and brain functional connectivity. Data were acquired at the Combinatorial NeuroImaging (CNI) core facility of the Leibniz Institute for Neurobiology (LIN) Magdeburg.

Participants

34

Channels

72 (10-10)

Size

6.43 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains non-invasive spinal cord recordings from 30 healthy young subjects performing an auditory-somatosensory expectation task. Participants received electric median nerve stimulations preceded by auditory cues at either fixed (1100 ms) or variable (100-2100 ms) intervals, while counting rare double-stimulus trials. The study investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using high-frequency electrophysiological recordings from three electrode rings positioned around the cervical spine.

Participants

30

Channels

24 (other)

Size

92.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using invasive electrophysiological recordings. Eight patients with neuropathic pain and implanted cervical epidural electrodes performed an auditory-cued median nerve stimulation task under two conditions: fixed (1100 ms) or variable (100-2100 ms) cue-to-stimulus intervals. Participants counted rare double-stimulus trials (80 ms interstimulus interval) within ~5 minute blocks. The study tests the hypothesis that predictive timing signals influence early somatosensory processing at the spinal level. Recordings were obtained from epidural electrode contacts placed alongside the dorsal cervical spinal cord.

Participants

8

Size

722 MB

Updated

Jul 10, 2026

This dataset comprises electrocorticography (ECoG) recordings from 20 C57BL/6 mice exposed to combinations of diagnostic ultrasound (tDUS) and visual stimuli to investigate how transcranially delivered ultrasound modulates visual cortex responses. Recordings from visual and somatosensory cortices were collected at 20 kS/s during three experimental conditions: light-only, ultrasound-only, and combined ultrasound with light stimulation. The study demonstrates that tDUS enhances exogenously induced brain activity when combined with visual stimuli, with implications for understanding ultrasound-mediated neuromodulation.

Participants

20

Size

8.28 GB

Version

vv1.0.0

Updated

Jul 10, 2026

PerceiveImagine is an electroencephalography dataset capturing neural activity during visual perception and imagery tasks. Participants viewed images for 6 seconds following a prompt, then closed their eyes and imagined the same images for 6 seconds. The dataset comprises raw EEG recordings designed to investigate neural correlates of visual perception and mental imagery.

Participants

3

Channels

65 (10-10)

Size

4.23 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A stereoelectroencephalography (SEEG) dataset containing resting state recordings from two patients with epilepsy. The dataset includes raw recordings acquired using Sinovation SDE-08 medical-grade depth electrodes with standardized specifications. This resource provides intracranial electrophysiological data suitable for investigating epileptic activity and brain network dynamics at high spatial resolution.

Participants

2

Size

709 MB

Version

vv1.0.0

Updated

Jul 10, 2026