Discover datasets

This dataset comprises scalp EEG recordings from 23 healthy young adults performing a modified Sternberg working memory task. Participants selectively memorized sequences of letters while ignoring distractors, maintained them during a delay period, and responded to probe letters via button press. The study investigates source-resolved EEG brain dynamics underlying working memory encoding, maintenance, and retrieval processes, with auditory feedback provided for response accuracy.

Participants

23

Channels

69 (10-10)

HED

v8.0.0

Size

5.80 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Assessment of population well-being with the Mental Health Quotient: validation study…

Participants

2000

Channels

50 (other)

Size

16.1 GB

Version

v1.0.0

Updated

Jul 10, 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)

Size

60.9 GB

Version

v1.0.0

Updated

Jul 10, 2026

…sessions together with sleep, emotion, mental health, and mind-wandering related measures…

Participants

60

Channels

61 (10-10)

Size

93.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This multimodal dataset comprises synchronized EEG, ECG, and pupillometry recordings from 18 participants performing an n-back working memory task with four difficulty levels (1-back through 4-back). The study employed a combined mobile EEG+ECG system and Pupil Labs eye tracker synchronized via Lab Streaming Layer, capturing cognitive workload modulation across task difficulty. Raw XDF recordings were converted to BIDS format with EEG in BrainVision format, pupil data exported as TSV files, and task events aligned to EEG start time. The dataset includes 19-channel EEG at 250 Hz, 3-lead ECG, and asynchronous pupil tracking, with detailed task event annotations and participant exclusion metadata.

Participants

18

Channels

19 (10-20)

Size

2.13 GB

Version

v1.0.0

Updated

Jul 10, 2026

…EEG signals were recorded during these mental articulation tasks. The dataset is…

Participants

15

Channels

64 (10-10)

Size

585 MB

Version

v1.0.0

Updated

Jul 10, 2026

The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.

Size

880 MB

Version

v1.0.0

Updated

Jul 10, 2026

…neuroergonomics, mental_workload_estimation - **Environment**: laboratory ## Tags - **Pathology**: Healthy - **Modality**: Cognitive - **Type…

Participants

15

Citations

56

HED

v8.4.0

Size

1.22 GB

Version

v1.0.0

Updated

Jul 10, 2026

Participants

10

Channels

60 (10-10)

HED

v8.4.0

Size

1.60 GB

Version

v1.0.0

Updated

Jul 10, 2026

…8.0 s - **Tasks**: right_hand_MI, left_hand_MI, resting_state…

Participants

87

Channels

27 (10-10)

Citations

35

HED

v8.4.0

Size

8.83 GB

Version

v1.0.2

Updated

Jul 10, 2026