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Imported from OpenNeuro ds003800

Participants

13

Size

364 MB

Version

v1.0.0

Updated

May 23, 2026

Grupos Pre and Post bids

Participants

55

Size

626 MB

Updated

Jun 6, 2026

Grupos Pre and Post bids

Participants

55

Size

626 MB

Updated

Jun 6, 2026

# README ##Contact person [email protected], ORCID: https://orcid.org/0000-0002-3461-038X ## Overview #Project Name "CrossModal Study" ##Task Participants received cues to prepare for the target (auditory or visual). Between cue and target were 3 seconds of task-irrelevant waiting time. For the duration of this interval, the fixation cross was frequency-tagged at 36 Hz and an amplitude modulated 40 Hz tone was played. The target was either a gabor-patch or a short tone. Partic

Participants

27

Size

98.2 GB

Updated

Jun 6, 2026

MorseEEG-ATP: a multitask EEG dataset for auditory temporal processing and listening ability assessment using Morse code =================================== Introduction ------------ MorseEEG-ATP is a publicly available multitask electroencephalography (EEG) dataset for studying auditory temporal processing and listening ability assessment using Morse code (MC) stimuli. Auditory temporal processing refers to the ability of the auditory system to perceive, encode, and integrate the temporal str

Participants

32

Size

10.2 GB

Updated

Jun 6, 2026

# README ##Contact person [email protected], ORCID: https://orcid.org/0000-0002-3461-038X ## Overview #Project Name "CrossModal Study" ##Task Participants received cues to prepare for the target (auditory, visual or non-specific). Between cue and target were 3 seconds of task-irrelevant waiting time. For the duration of this interval, the fixation cross was frequency-tagged at 36 Hz and an amplitude modulated 40 Hz tone was played. The target was either a gabor-patch or a shor

Participants

22

Size

7.03 GB

Updated

Jun 6, 2026

# Different Doors Forty participants selected one of two doors, then received feedback indicating either a monetary gain or loss. Blocks lasted 20 trials and, unbeknownst to participants, were of two types. In learnable blocks, one of the doors was better because choosing it was associated with a 60% likelihood of a win. The other door only paid out 10% of the time. In unlearnable blocks, outcomes were not yoked to participant actions but were instead drawn from the learnable blocks and present

Participants

40

Size

3.34 GB

Updated

Jun 6, 2026

MEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.

Participants

27

Size

99.3 GB

Version

v1.0.1

Updated

Jun 3, 2026

fNIRS finger tapping with lateralized auditory cues. 5 subjects, 56 NIRS channels (8 sources, 16 detectors incl. 8 short), NIRx NIRScout, 7.8 Hz, SNIRF format. 3 conditions x 30 trials. Zenodo DOI: 10.5281/zenodo.6575155

Participants

5

Size

47.4 MB

Version

v1.0.0

Updated

Jun 1, 2026

# Dataset of Emotion Recognition Using Validated Video Stimuli with Large-scale Behavioral Survey and MEG Recordings ## General Description This dataset was developed as part of research focused on brain signal-based emotion recognition by capturing high-fidelity Magnetoencephalography (MEG) signals during induced different emotional states. The dataset is organized into three primary components: 1. **Phenotype (Online Survey)**: Stored within the 'phenotype' directory, this component contain

Participants

23

Size

88.8 GB

Updated

Jun 6, 2026