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Our dataset contains high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, T1 structural MR images, and video data from 25 participants playing real-world table tennis. Participants played 60 minutes of table tennis (in total) with a ball machine and a human player, with an additional 10 minutes of standing baseline. For 17 of the participants, we also include video data of all trials. The Adobe Premiere project files (l

Participants

25

Size

34.6 GB

Updated

Jun 6, 2026

This dataset contains the EEG resting state-closed eyes recordings from 88 subjects in total. Participants: 36 of them were diagnosed with Alzheimer's disease (AD group), 23 were diagnosed with Frontotemporal Dementia (FTD group) and 29 were healthy subjects (CN group). Cognitive and neuropsychological state was evaluated by the international Mini-Mental State Examination (MMSE). MMSE score ranges from 0 to 30, with lower MMSE indicating more severe cognitive decline. The duration of the diseas

Participants

88

Size

2.64 GB

Updated

Jun 6, 2026

Participants

48

Size

59.4 GB

Updated

Jun 6, 2026

Experiment: PES is a complex and strategic decision-making "Pandemic" Experiment. In this experiment, users were shown a map that gives a description of the spread of a pandemic emergency situation in various locations within the map. Resources (in terms, medicines, personnels) are allocated to few cities in the beginning. The user must allocate more resources to new cities that are displayed on the map. The user must keep in mind that the resources are limited and handing over all resources co

Participants

9

Size

22.3 GB

Updated

Jun 6, 2026

Welcome to our dataset! Here we present stereoelectroencephalography data from a forced two-choice response task collected in the epilepsy monitoring unit at Oregon Health & Science University. The data was analyzed in collaboration with the University of Oregon. The accompanying paper the first reference below. References ---------- Rockhill, A. P., Mantovani, A., Stedelin, B., Nerison, C. S., Raslan, A. M., & Swann, N. C. (2022). Stereo-EEG recordings extend known distributions of canonical

Participants

8

Size

6.30 GB

Updated

Jun 6, 2026

An EEG + motion capture data set, analyzed and published in "Gramann, K., Hohlefeld, F. U., Gehrke, L., & Klug, M. (2021). Human cortical dynamics during full-body heading changes. Scientific Reports, 11(1), 18186". Used as a BIDS-example data set for EEG + motion : https://github.com/bids-standard/bids-examples/tree/master/motion_spotrotation Overview -------- This is the "Spot rotation" dataset. It contains EEG and motion data collected from 20 subjects collected at the Berlin Mobile Brain-B

Participants

20

Size

59.1 GB

Updated

Jun 6, 2026

# Basis Profile Curve identification in the human ventral temporal cortex This dataset contains intracranial EEG recordings from five patients during single pulse electrical stimulation as described in: * Huang, H., Gregg, N. M., Valencia, G. O., Brinkmann, B. H., Lundstrom, B. N., Worrell, G. A., ... & Hermes, D. (2023). Electrical stimulation of temporal and limbic circuitry produces distinct responses in human ventral temporal cortex. Journal of Neuroscience. DOI: https://doi.org/10.1523/J

Participants

5

Size

10.9 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

56

Size

38.2 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

22

Size

20.7 GB

Updated

Jun 6, 2026

Data Descriptor Article Iwama, S., Morishige, M., Kodama, M. et al. High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing. Sci Data 10, 385 (2023). https://doi.org/10.1038/s41597-023-02260-6 Sample code https://github.com/Junichi-Ushiba-Laboratory/pj-hd-smrbmi

Participants

30

Size

29.2 GB

Updated

Jun 6, 2026