Discover datasets

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

This dataset comprises 64-channel EEG recordings and behavioural ratings from 47 participants who read and evaluated 210 short English-language texts, including Haiku, Senryu, and non-poetic Control texts. Each text was rated on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. The dataset supports research into the neural and cognitive processes underlying aesthetic and creative engagement with poetic language, and includes resting-state EEG segments recorded before and after the experimental session.

Participants

47

Channels

64 (10-10)

Size

45.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 53 participants performing a bilateral change-detection task designed to examine how perceptual grouping by color repetition influences distinct stages of visual working memory processing. Event-related potential markers (N2pc, CDA, N2, FN400) are used to temporally isolate encoding, maintenance, comparison, and decision-making stages. The dataset was collected at Louisiana State University and is structured according to the BIDS-EEG standard.

Participants

53

Channels

64 (10-10)

Size

269 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from a visual working memory task presented in virtual reality, where participants remembered object details cued by either a social (avatar) or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.

Participants

47

Channels

59 (10-10)

Citations

5

Size

60.9 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 comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.

Participants

15

Channels

19 (10-20)

Citations

2

Size

11.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from a visual working memory task administered under a double-blind, placebo-controlled Cabergoline (1.25 mg) drug challenge. Thirty healthy participants (27 completers) were tested across two sessions, with drug order counterbalanced. The data were collected circa 2012-2013 at the Laboratory for Neural Computation & Cognition at Brown University, with the EEG data previously unpublished.

Participants

27

Channels

64 (10-10)

Citations

1

Size

8.96 GB

Version

v1.0.0

Updated

Sep 14, 2026

This dataset contains intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task with open-loop brain stimulation during encoding. Participants learned object locations through guided navigation and subsequently recalled them during self-navigation test phases. The study employed electrical stimulation of hippocampal and entorhinal cortex electrodes during learning trials, with stimulation parameters systematically varied across counterbalanced trial blocks to investigate the effects of targeted brain stimulation on spatial memory encoding. This dataset is an open-loop stimulation variant of the YC1 dataset (ds005522).

Participants

22

Size

69.7 GB

Version

v1.0.0

Updated

Jul 10, 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 counterbalanced trial blocking and provides both monopolar and bipolar iEEG recordings with anatomical coordinates.

Participants

58

Citations

1

Size

107 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.

Participants

34

Channels

63 (10-10)

Citations

1

Size

61.2 GB

Version

v1.0.0

Updated

Aug 19, 2026