on008062
EEG and hedonic responses to sonic-seasoning soundscapes
EEG
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- Size
- 23.4 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "crossmodal attention" · page 3 of 10 · ranked by relevance
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- on004574
Cross-modal Oddball Task.
BEH EEGThis dataset contains EEG recordings from 146 subjects, including 98 individuals with Parkinson's disease and 48 controls, collected between 2017 and 2021. Participants performed a cross-modal oddball task involving a primary directional response cue preceded by visual and auditory pre-cues, designed to probe cognitive processing in Parkinson's disease. EEG data were recorded using a 64-channel BrainVision system.
- Participants
- 146
- Channels
- 63 (10-10)
- Citations
- 8
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000122
Chen2017 – Single-flicker online SSVEP BCI dataset
EEG…DFG TRR169/B1/Z2 Crossmodal Learning; Landesforschungsfoerderung Hamburg CROSS FV25 - **Ethics approval…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 52
- HED
- v8.4.0
- Size
- 10.9 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005586
Electroencephalographic responses to the number of objects in partially occluded and uncovered scenes
EEGThis dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.
- Participants
- 23
- Channels
- 60 (10-10)
- Size
- 28.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004043
The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes
EEG…Undivided attention: The temporal effects of attention dissociated from decision, memory, and…
- Participants
- 20
- Citations
- 1
- Size
- 30.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004519
Internal selective attention is delayed by competition between endogenous and exogenous factors
EEG…data files from "Internal selective attention is delayed by competition between endogenous…
- Participants
- 40
- Channels
- 62 (10-10)
- Citations
- 2
- Size
- 12.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction
BEH EEGThis dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.
- Participants
- 23
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 6.12 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNCThis dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 41
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004010
MAVIS
EEG…EEG activity during varying selective attention and the processing of sensory stimuli…
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 82
- Size
- 23.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000311
Multimodal upper-limb MI/ME EEG (Jeong et al. 2020)
EEGA multimodal EEG dataset comprising motor imagery and motor execution data from 25 healthy subjects performing 11 intuitive upper-limb movement tasks (6 reaching, 3 grasping, 2 wrist twisting) across 3 sessions. The dataset includes 71-channel EEG recordings (60 EEG, 4 EOG, 7 EMG channels) sampled at 1000 Hz with synchronized behavioral annotations, designed for brain-computer interface research and motor control applications. This is a BIDS-formatted derivative dataset converted from the original Jeong et al. 2020 publication using MOABB (Mother of All BCI Benchmarks).
- Participants
- 25
- Channels
- 71 (10-10)
- Citations
- 82
- HED
- v8.4.0
- Size
- 326 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026