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Generated from raw data by MNE-BIDS (Appelhoff et al., 2019) and custom code to join to behavioural data, stimulus information, and metadata. ## Notes on the Data For full details on this dataset, see our preprint: Taylor et al. (2024) https://doi.org/10.1101/2024.11.11.622929 General notes: * An issue during recording meant that sub-05 completed the first block without data being saved. The experiment was restarted from the beginning for this participant. This participant was not included i

Participants

16

Size

10.9 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 Holdgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S., Davi

Participants

24

Size

13.8 GB

Participants

21

Size

77.3 GB

Participants

29

Size

63.3 GB

Welcome to the numbers dataset. These data were collected using stereoelectroencephalography recordings of epilepsy patients while they were waiting on the epilepsy monitoring unit to have seizures at Oregon Health & Science University. They were shown auditory and visual numbers that were symbolic (Arabic + spoken) or non-symbolic (dots + beeps).

Participants

13

Size

7.46 GB

**Passing Viewing Task** 23 participants took part in this study in return for a monetary incentive at University of Marburg. Participants performed a passive viewing task in a dimly lit room. The visual scene consisted of a game board, game pieces and a mesh as an occluder. Each trial started with a fixation cross presentation for one second plus the duration of the drift correction procedure. The game board and occluder were presented for two seconds, while game pieces only appeared

Participants

23

Size

28.3 GB

This dataset was curated for publication as part of the manuscript in Kanno et al. (in preparation). It contains iEEGs collected from 106 individuals during auditory naming task. The available Matlab code can be found at https://github.com/a8k8nn0/TractographyAtlas. The iEEG coordinate system employed in this dataset is MNI305.

Participants

106

Size

40.0 GB

Data collection took place at the NeuroCognition Laboratory (NCL) in San Diego, California under the supervision of Dr. Phillip Holcomb. This project followed the San Diego State University’s IRB guidelines. Participants sat in a comfortable chair in a darkened sound attenuated room throughout the experiment. They were given a gamepad for button pressing. They were instructed to watch the LCD video monitor that was at a viewing distance of 150cm. Participants were presented with 300 prime-ta

Participants

24

Size

2.62 GB

README Seventeen adult participants completed a learning task and a resting-state condition during MEG recording (4D NeuroImaging system with 248 magnetometer channels). Current dataset: OpenNeuro MEG Dataset ds005261 (Gloups_MEG, https://openneuro.org/datasets/ds005261/versions/2.0.0; see Todorović et al., in revision). The same participants performed an identical learning task during fMRI scanning. Related dataset: OpenNeuro fMRI Dataset ds004597 (Gloups, https://openneuro.org/datasets/ds

Participants

17

Size

137 GB

Participants

159

Size

371 GB