Discover datasets

This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.

Participants

21

Channels

64 (10-10)

Size

36.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises consolidated cEEGrid recordings from two attended speaker paradigm studies involving 36 participants (15 from Jaeger et al. 2020 and 21 from Holtze et al. 2021). Participants performed a dichotic listening task with competing audiobooks while instructed to attend to either the left or right speaker. The pooled dataset includes recordings under omnidirectional and beamforming acoustic conditions, providing a resource for investigating neural correlates of selective auditory attention using high-density EEG.

Participants

36

Channels

18 (other)

Citations

38

Size

6.03 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 24 healthy participants performing a multisensory detection task designed to investigate the dynamics of neural activity during selective attention and sensory processing. Participants detected audiovisual targets embedded in simultaneous noise, enabling investigation of modality-specific attention mechanisms and their relationship to electrophysiological spectral properties.

Participants

24

Channels

64 (10-10)

Citations

82

Size

23.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 128-channel EEG recordings from 19 patients with psychosis and 24 healthy controls performing the Ultimatum Game at Fribourg University. Participants engaged in both proposer and responder roles across three blocks of 30 trials each, providing neurophysiological insights into decision-making and social cognition in schizophrenia spectrum disorders.

Participants

43

Channels

128

Size

22.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from participants performing alternating meditation and active thinking tasks. Data were collected at the Meditation Research Institute in Rishikesh, India, with participants completing four blocks of either breath-counting meditation, tradition-specific meditation, or active thinking tasks with eyes closed. The dataset supports investigation of neural correlates of meditative states versus cognitively engaged thinking.

Participants

98

Channels

64 (10-10)

Citations

2

Size

54.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings from two independently collected samples of healthy controls and first-episode psychosis (FEP) individuals. EEG data were acquired using a 60-channel low-impedance 10-10 system cap during 5-minute resting periods. The second sample excludes subjects overlapping with the first acquisition to avoid redundancy. Clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures are provided in the phenotype directory.

Participants

61

Channels

61 (10-10)

Citations

10

Size

12.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings from individuals with first-episode psychosis (FEP) and healthy controls, collected using a 60-channel 10-10 system montage. This is the first of two independently collected samples, containing 5-minute resting EEG recordings acquired with an Elekta Neuromag Vectorview system, accompanied by comprehensive clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures. This resource enables investigation of cortical network abnormalities and neurophysiological markers associated with early psychotic illness.

Participants

82

Channels

61 (10-10)

Citations

13

Size

6.15 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks while viewing static images of objects with varying capacities for movement and aliveness. The study investigates how the human brain represents movement as a fundamental organizational principle in visual object processing, independent of animacy. This is Experiment 3 (EEG: movement) from a multi-experiment study. Raw EEG data in BrainVision format, preprocessed derivatives in EEGlab and cosmoMVPA formats, analysis scripts, stimuli, and decoding results are provided. Note: Analysis code requires both Experiment 2 and Experiment 3 datasets to be downloaded for full replication of analyses.

Participants

24

Citations

2

Size

80.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks in Experiment 1 of a study investigating how the brain represents object movement and aliveness. Participants classified static images of objects with varying capacities for movement (moving/non-moving) and animacy (alive/not alive) as either alive or capable of movement. The study demonstrates that movement capacity is a significant organizational principle in visual object representation, independent of animacy.

Participants

24

Citations

15

Size

82.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

A multicenter interictal intracranial electroencephalography (iEEG) dataset from patients with epilepsy, comprising de-identified recordings from six clinical centers: the National Institutes of Health, Johns Hopkins Hospital, University of Miami Florida Jackson Memorial Hospital, Kansas University Medical Center, University of Pittsburgh Medical Center, and Cleveland Clinic (with data from the latter three centers restricted due to institutional data sharing limitations). The dataset includes annotations of sleep and awake states and features processed derivatives including source-sink connectivity analysis and high-frequency oscillation detection. This resource supports investigation of electrophysiological markers of the epileptogenic zone.

Participants

39

Citations

5

Size

5.14 GB

Version

v1.0.0

Updated

Jul 10, 2026