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Our dataset contains high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction force from all participants walking over uneven terrain and at different speeds. Participants completed two trials for each condition for three minutes and a seated rest trial for three minutes. Please refer to our publication for more detail. Digitized electrode locations (txt) are included in each subject folder.

Participants

71

Size

130 GB

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36

Size

67.8 GB

Participants

5

Size

1.08 GB

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1

Size

800 MB

Participants

166

Size

11.9 GB

EEG dataset for speech decoding ============================ Dataset Overview --------------- This dataset contains EEG recordings from a phoneme discrimination task with TMS. The data were collected during two related studies in 2019 and 2021. Study 1 (2019, Session 01): - 8 participants (P01-P08) - Focus on CV and VC phoneme pairs - 2 blocks: CV pairs and VC pairs - TMS targeted to LipM1 (-56, -8, 46) and TongueM1 (-60, -10, 25) Study 2 (2021, Session 02): - 16 participants (S01-S16) - Exp

Participants

24

Size

43.0 GB

### Participants Thirty participants (17 females, mean age=23.17±2.31 years) were recruited for the fMRI experiment at Shanghai International Studies University, Shanghai, China. An additional thirty participants (16 females, mean age=22.67±1.99 years) were recruited from the West China Hospital of Sichuan University, Chengdu, China. All participants were right-handed, had normal or corrected-to-normal vision, and reported no history of neurological disorders. Before the experiment, all particip

Participants

60

Size

35.6 GB

References ---------- Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896 Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., De

Participants

33

Size

284 GB

# iEEG Dataset: Theta-synchronized Stimulation of Human Hippocampal Networks ## Information This folder contains intracranial EEG (iEEG) data from **7 participants** undergoing closed-loop stimulation as part of a study on hippocampal network connectivity, as used in the following publication: **Kragel et al., 2025, Nature Communications:** *“Closed-loop control of theta oscillations enhances human hippocampal network connectivity”* For questions or further information, contact: - **J

Participants

7

Size

9.63 GB

This dataset includes simultaneous recordings of electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and diffusion-weighted imaging (DWI) from 28 participants aged 19 to 42 years. The fMRI and DWI data were acquired using a 3T MRI scanner (Siemens Magnetom Prisma), and the EEG was recorded using 64 channels (Brain Product BrainCap MR with Multirodes). The following tasks were performed: resting state (eyes open and closed), checkerboard (15Hz), gradCPT, and imagery task.

Participants

28

Size

172 GB