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# A multi-session simultaneous EEG-fMRI dataset with online experience sampling Here we introduce a multi-session dataset that includes simultaneous EEG-fMRI with online measures of continuous behavior and spontaneous mental experience. Data components, organized in Brain Imaging Dataset Structure (BIDS) format, include simultaneous EEG-fMRI recordings with carbon wire loop sensors embedded in EEG caps for artifact removal, electrocardiogram (ECG), behavioral task responses, experience sampling

Participants

24

Size

105 GB

Updated

Jun 6, 2026

References BIDS --------------- 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., Philli

Participants

100

Size

11.0 GB

Updated

Jun 6, 2026

This dataset was generated from LSL/XDF recordings. Converted to BIDS with instructions and code [presented here](https://github.com/LMBooth/QT-nback_study/tree/main/conversion_package) - Original recordings are stored under sourcedata/xdf/ as .xdf files (non-BIDS). - EEG was converted to BrainVision format (.vhdr/.eeg/.vmrk) under each sub-*/eeg/. - *_events.tsv was generated from marker streams and then aligned so onset is relative to the EEG start time. - Marker streams include task markers

Participants

18

Size

422 MB

Updated

Jun 6, 2026

# Dataset Description This dataset contains the EEG data accompanying the study **"Adaptive recruitment of cortex-wide recurrence for visual object recognition"** (Link to preprint: https://www.biorxiv.org/content/10.1101/2025.10.17.682937v2). Please cite the above paper if you use this data. --- ## Dataset Overview - 34 participants, each with 1 session --- ## Experimental Design The EEG experiment used a stimulus set of 242 images (121 “challenge” and 121 “control” images) derived from

Participants

34

Size

60.9 GB

Updated

Jun 6, 2026

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

65

Size

33.0 GB

Updated

Jun 6, 2026

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

103

Size

32.6 GB

Updated

Jun 6, 2026

This dataset contains intracranial EEG data recorded during non-REM sleep and used in Hatano et al. (in press). Authors: Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano Funding: National Institutes of Health (NIH; NS064033 to E.A.); Uehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.;

Participants

65

Size

33.8 GB

Updated

Jun 6, 2026

Dataset of long-term iEEG invasively recorded in epilepsy patients implanted with responsive neurostimulation system (RNS) ---------- We provided a long-term intracranial electroencephalography (iEEG) dataset of 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices. The dataset was constituted by iEEG data recorded from bilateral epileptic lesion areas. Each recording contains 90 seconds of dual-channel iEEG around each stimulation, 60 seconds before the start of the sti

Participants

8

Size

498 MB

Updated

Jun 6, 2026

Each trial began with a fixation dot presented for a jittered intertrial interval (ITI) between 600 and 1000 ms. The first memory screen (1000 ms) showed two objects on one lateral side that participants were instructed to memorize (indicated by a wedge cue), and two objects on the opposite side to balance visual input. Depending on the block condition, the to-be-memorized objects on the first screen could be studied (learned in the learning phase) or novel/unstudied. After a 1400 ms interstimul

Participants

41

Size

11.3 GB

Updated

Jun 6, 2026

Participants

3

Size

13.9 GB

Updated

Jun 6, 2026