ds007216
A multi-session simultaneous EEG-fMRI dataset with online experience sampling
EEG MRI
- Participants
- 24
Discover datasets
100 results for "working memory training" · page 9 of 10 · ranked by relevance
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- on003574
Reward biases spontaneous neural reactivation during sleep
ANAT EEG FUNC…Finally, a memory test was performed the next day on the 2…
- Citations
- 2
- Size
- 17.8 GB
- Updated
- Jun 22, 2026
- nm000214
c-VEP dataset from Thielen et al. (2021)
EEG…offline - **Training/test split**: False - **Instructions**: Participants maintained fixation at the target…
- Citations
- 5
- Size
- 1.26 GB
- Updated
- Jun 3, 2026
- on004317
Mood Manipulation and PST, Experiment 2
EEG…Mood Manipulation occurs during task before each training block. Task included in…
- Citations
- 1
- Size
- 18.3 GB
- Updated
- Jun 24, 2026
- ds006940
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals
EEG MOTION…Each participant completed nine sessions over several weeks, structured into training and…
- Participants
- 7
- nm000271
Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)
EEGA multi-paradigm EEG dataset comprising scalp electroencephalography recordings from 28 participants performing and imagining upper-limb rehabilitation exercises. This dataset is designed to support research on motor imagery and rehabilitation brain-computer interfaces (BCI) for upper-limb motor function recovery and assessment.
- Citations
- 1
- Size
- 3.46 GB
- Updated
- Jun 17, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
BEH EEG…Each subject completed 4 separate sessions; each session contained: - 5 training runs…
- Size
- 159 GB
- Updated
- May 16, 2026
- ds005688
visStim
EEG- Participants
- 20
- ds007788
Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals
EEG MOTION…a brain–machine interface (BMI) training study involving seven healthy adult participants…
- Participants
- 7
- on004105
BCIT Auditory Cueing
EEGThe BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.
- Size
- 20.4 GB
- Updated
- Jun 23, 2026