Discover datasets

This dataset comprises electroencephalography (EEG) recordings from a Dot Probe Continuous Performance Task administered to control subjects and individuals with sub-acute mild traumatic brain injury (mTBI). Participants were assessed at multiple timepoints: within 3-14 days post-injury (Session 1), approximately 2 months post-injury (Session 2), and approximately 4 months post-injury (Session 3). The dataset includes behavioral and electrophysiological measures of attention and cognitive control relevant to understanding post-injury recovery trajectories.

Participants

91

Channels

65 (10-10)

Citations

25

Size

56.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

FACE-DEC is an OPM-MEG dataset containing neuroimaging data acquired during face processing tasks. The dataset includes raw magnetoencephalography recordings, preprocessing pipelines, decoding analyses, representational similarity analysis (RSA), and statistical comparisons. Analyses were conducted at the whole-brain and sensor levels without individual structural MRI or facial point cloud data. This study was approved by the Institutional Review Board of Peking University. For correspondence, contact [email protected].

Participants

21

Size

27.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from human infants viewing 200 object images presented in rapid visual streams. The study investigates neural responses to visual object categories in developing brains, providing insights into early visual processing and object recognition mechanisms in infancy. Raw EEG data are accompanied by preprocessing scripts and representational similarity analysis code for reproducible analysis.

Participants

42

Size

12.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG recordings from participants performing a modified Sternberg working memory task with varying set sizes (3, 6, 9, 12, and 15 Russian consonant letters). The study investigates neural correlates of working memory load and cognitive difficulty, with participants' Raven Progressive Standard Matrices scores provided for cognitive ability assessment. The dataset includes 200 trials per participant organized in difficulty blocks with standardized encoding, retention, and retrieval phases.

Participants

48

Channels

63 (10-10)

Size

14.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset investigates proactive selective attention mechanisms across different competitive contexts using neuroimaging data. The study examines how individuals modulate attentional resources in anticipation of task demands within varying levels of competition, providing insights into the neural correlates of goal-directed attention and performance optimization.

Participants

36

Channels

63 (10-10)

Size

68.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This EEG dataset investigates the neural dynamics of visual object coding across cerebral hemispheres using rapid serial visual presentation. Participants viewed object and word stimuli presented at 5 Hz to the left visual field, right visual field, or central location while performing an orthogonal red target detection task. The dataset provides insights into how visual information is processed and integrated within and across hemispheric regions during peripheral and central vision.

Participants

20

Size

58.8 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electroencephalography (iEEG) recordings from stereoelectroencephalography (SEEG) electrode implantations in pediatric patients with a history of prior craniotomy. The data includes electrode coordinates localized in individual native post-operative CT imaging space without alignment to standardized atlases, supporting clinical and research investigations into the safety and accuracy of SEEG procedures in this specialized patient population.

Participants

60

Size

355 KB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset documents a double-blind case study examining the physiological effects of directed therapeutic intent on live and damaged cells. A self-described practitioner of energy medicine participated in 40 sessions over 10 days, with concurrent collection of physiological data. The study employed randomized cell presentation across three distinct conditions: live cells (40 sessions), dead/x-rayed cells (10 sessions), or medium only/no cells (10 sessions), under conditions of experimenter and practitioner blinding. Each session consisted of five segments: 2-minute baseline (no cells present), 5-minute treatment (practitioner still), 5-minute treatment (movement allowed), 5-minute treatment (practitioner still), and 2-minute post-treatment baseline. Matched control samples were processed by a sham therapist in a separate location to account for temporal and equipment effects.

Participants

1

Channels

65 (10-10)

Size

1.68 GB

Version

v1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset examines how heuristics in risky decision-making relate to preferential representation of decision-relevant information. Participants completed a risky decision-making task across multiple scanner runs, with event timing recorded via photodiode and synchronized to MEG recordings. The dataset includes raw MEG data, event timing information, and preprocessed epoched data for both a localizer task and the main choice task, supporting investigation of neural correlates of decision heuristics and information processing biases.

Participants

21

Size

431 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates learning task conducted across multiple clinical sites. Participants studied word pairs, performed distractor arithmetic tasks, and completed cued recall tests while neural activity was recorded. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information and standardized voltage scaling across multiple recording systems.

Participants

72

Size

167 GB

Version

v1.0.0

Updated

Jul 10, 2026