Discover datasets

MNE-somato-data-bids ==================== This dataset contains the MNE-somato-data in BIDS format. The conversion can be reproduced through the Python script stored in the `/code` directory of this dataset. See the README in that directory. The `/derivatives` directory contains the outputs of running the FreeSurfer pipeline `recon-all` on the MRI data with no additional commandline options (only defaults were used): $ recon-all -i sub-01\_T1w.nii.gz -s 01 -all After the `recon-all` call, t

Participants

1

Size

334 MB

Updated

Jun 6, 2026

# Brainstorm - Auditory Cortex Mapping Dataset ## License This dataset (MEG and MRI data) was collected by Jonathan Cote of the Neuroplasticity and Sensory Biomarking Lab, Montreal Neurological Institute, McGill University, Canada. Its purpose is to serve as a data example to be used with our MEG-based auditory cortex mapping technique. It is presently released in the Public Domain, and is not subject to copyright in any jurisdiction. We would appreciate though that you reference this d

Participants

1

Size

13.2 GB

Updated

Jun 6, 2026

--- version 1.0.0 --- initial release Raw iEEG data + pre and post surgery MRI No DOI to data No reference to the published study (still in press)

Participants

6

Size

11.0 GB

Updated

Jun 6, 2026

Data collection took place at the Meditation Research Institute (MRI) in Rishikesh, India under the supervision of Arnaud Delorme, PhD. The project was approved by the local MRI Indian ethical committee and the ethical committee of the University of California San Diego (IRB project # 090731). Participants sat either on a blanket on the floor or on a chair for both experimental periods depending on their personal preference. They were asked to keep their eyes closed and all lighting in the room

Participants

13

Size

2.26 GB

Updated

Jun 6, 2026

This free walking experiment consists of 19 participants. Subjects walked two different routes outdoors Each route was walked twice. Once while pressing buttons in a self-paced manner. The article (see Reference) contains all methodological details - Nadine Jacobsen (March, 2020)

Participants

19

Size

7.82 GB

Updated

Jun 6, 2026

Fragility Multi-Center Retrospective Study ------------------------------------------ This dataset was updated and prepared for release as part of a manuscript by Bernabei & Li et al. (in preparation). A subset of the data has been featured in [1]. Summary ------------- iEEG and EEG data from 5 centers is organized in our study with a total of 100 subjects. We publish 4 centers' dataset here due to data sharing issues. Acquisitions include ECoG and SEEG. Each run specifies a different snaps

Participants

35

Size

10.3 GB

Updated

Jun 6, 2026

**PARADIGM:** The study uses the method of guided imagery to induce resting, eyes-closed participants using voice-guided imagination to enter distinct 15 emotion states during acquisition of high-density EEG data. During the study, participants listen to 15 voice recordings that each suggest imagining a scenario in which they have experienced -- or would experience the named target emotion. Some target emotions have positive valence (e.g., joy, happiness), others negative valence (e.g., sadn

Participants

34

Size

36.0 GB

Updated

Jun 6, 2026

Participants

13

Size

59.8 GB

Updated

Jun 6, 2026

## Audio-Visual Attention Shift Experiment **Project name:** [Sensory processing in aging] **Years the project ran:** 2007-2008 **Brief overview of experiment task:** The purpose of this Auditory-Visual Attention Shift study was to explore the effects of aging on selective attending and responding to auditory and visual stimulus differences using an interleaved dual-oddball audio-visual task design. EEG and EOG channels were acquired. **Data collection.** Scalp EEG data were collected fr

Participants

49

Size

7.70 GB

Updated

Jun 6, 2026

This dataset is a part of the data used for the study: 'Kandemir, A.L., Litvak, V., Florin, E., 2020. The comparative performance of DBS artefact rejection methods for MEG recordings, NeuroImage, 2020, https://doi.org/10.1016/j.neuroimage.2020.117057.' Please use the latest version of the dataset. For detailed information about measurement protocol please refer to https://doi.org/10.1016/j.neuroimage.2020.117057. Additional information about CTF Phantom measurement is provided below.

Participants

2

Size

20.1 GB

Updated

Jun 6, 2026