Discover datasets

This dataset comprises EEG recordings from twelve participants performing three learning tasks with varying reward contingencies. Participants learned cue-response mappings for colored shape stimuli with feedback validity manipulated across conditions (50% for low-value cues, 80% for high-value cues). The study investigates how average task value influences learning and neural processing during reinforcement learning.

Participants

12

Citations

3

Size

4.00 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with detailed behavioral events and iEEG recordings, providing a resource for investigating neural mechanisms of spatial memory and navigation.

Participants

58

Size

106 GB

Version

v1.0.0

Updated

Jun 27, 2026

A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.

Participants

21

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates memory task with open-loop electrical brain stimulation applied during encoding or retrieval phases. Participants studied word pairs, performed a distractor task, and completed cued recall, with stimulation delivered to hippocampal and entorhinal cortex electrodes on randomly assigned lists. The dataset enables investigation of how targeted electrical stimulation affects memory encoding and retrieval processes.

Participants

20

Size

26.3 GB

Version

v1.0.0

Updated

Jun 27, 2026

Imported from OpenNeuro ds003645

Participants

18

Citations

83

Size

54.5 GB

Version

v1.0.0

Updated

May 16, 2026

Beetl2021-A is a preprocessed motor imagery EEG dataset from the BEETL Competition Task 2 (NeurIPS 2021), comprising data from 3 healthy subjects collected during an online racing game (Cybathlon2020IC). The dataset contains 63-channel EEG recordings at 500 Hz with four-class motor imagery tasks (rest, left hand, right hand, feet) and serves as a benchmark for evaluating transfer learning and domain adaptation methods across heterogeneous EEG datasets and subjects. This dataset is part of a larger competition focused on advancing transfer learning for subject independence and cross-dataset generalization in brain-computer interfacing.

Participants

3

Size

216 MB

Version

v1.0.1

Updated

Jun 23, 2026

This dataset comprises EEG recordings from three experiments investigating the effects of selective attention on auditory brainstem and cortical responses to natural speech. Participants listened to audiobook narrations under different stimulus configurations (diotic, dichotic, and passive listening conditions) while EEG was recorded from both cortical (32-channel active montage) and subcortical (passive bipolar montage) electrode arrays. The study examines whether selective attention modulates the auditory brainstem response to natural speech stimuli.

Participants

66

Size

103 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset comprises 64-channel EEG recordings and behavioral ratings from 4 participants (P105, P141, P142, P146) who evaluated 210 short English-language texts (70 Haiku, 70 Senryu, and 70 control texts) on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. Poetry Assessment EEG Dataset 2 is a subset of a larger 51-participant study; these 4 participants were excluded from primary analyses because their EEG recordings were acquired in segments due to session interruptions and subsequently concatenated during preprocessing. The dataset includes resting-state EEG, trial-by-trial behavioral ratings, and psychometric responses (PANAS, Openness, Curiosity, VVIQ, AVIQ, MAAS, AReA), and is provided for completeness and transparency to enable users to apply their own quality control pipelines.

Participants

4

Size

4.29 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset comprises multimodal neuroimaging and electrophysiological recordings from 53 healthy volunteers (aged 18-31) performing a probability decision-making task under conditions of risk and ambiguity. Data include structural MRI (T1w, T2w, DWI), task-based fMRI, and concurrent EEG recordings during transcranial magnetic stimulation applied to parietal regions and the vertex. The dataset enables investigation of neural mechanisms underlying decision-making under uncertainty, with particular focus on parietal cortex function and its interactions with distributed brain networks.

Participants

53

Citations

17

Size

36.5 GB

Version

v1.0.0

Updated

Jun 25, 2026