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# BIDS example with HED-SCORE schema library annotations The HED schema library for the Standardized Computer-based Organized Reporting of EEG (SCORE) can be used to add annotations for BIDS datasets. The annotations are machine readable and validated with the BIDS and HED validators. This example is related to the following preprint: Dora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Brian Nils Lundstrom, Christine Rogers, Stefan Rampp, Seyed Yahya Shirazi, D

Participants

1

Size

32.0 MB

Updated

Jun 6, 2026

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., D

Participants

30

Size

23.0 GB

Updated

Jun 6, 2026

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., D

Participants

36

Size

31.1 GB

Updated

Jun 6, 2026

Each trial began with a space key press, followed by a fixation dot for 500–650 ms. Then, 2 or 6 lateral objects appeared for 1250 ms. A central cue indicated which object(s) to memorize. The other side had irrelevant objects for visual balance. After a 1000 ms delay, half the blocks showed 4 distractors (dual task), where participants identified a same-category object among them. The other half showed only fixation (single task). A colored dot gave feedback on dual task accuracy. Then, a

Participants

56

Size

40.1 GB

Updated

Jun 6, 2026

# Mouse Sleep Staging Validation dataset (MSSV) This dataset contains EEG recordings with sleep scores from 92 healthy mice. The recordings and sleep scores were collected from five different labs: - Department of Biomedical and Neuromotor Sciences, Università di Bologna, Italy. - Center for Translational Neuroscience, University of Copenhagen, Denmark. - Department of Neuroscience, University of Copenhagen, Denmark. - Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital

Participants

92

Size

6.08 GB

Updated

Jun 6, 2026

This dataset is a imagined speech dataset with two participants, identified as sub-01 to sub-02. The dataset includes raw data in edf formats. Information also can be found in https://github.com/baoyudu/How-Far-to-NISN . 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 electrophysiolo

Participants

2

Size

52.9 GB

Updated

Jun 6, 2026

This dataset consists of 6-hour long EEG recordings in wildtype (WT) and rats Syngap+/Δ−GAP (HET) rats (male, 12-16 weeks old) starting at zeitgeber time (ZT) 3 to 9 (under a 12 light hr:12 dark hr schedule with lights on at 07:00 am). Associated with each rat is two 6-hour recording files, expect for those which only underwent one recording session (S7020, , S7025, S7030, S7031, S7032, 39, S7040, S7041). Recordings were acquired with an OpenEphys acquisition system (OpenEphys, Portugal) and hea

Participants

24

Size

107 GB

Updated

Jun 6, 2026

# README ## Authors César E. Corona-González, Claudia Rebeca De Stefano-Ramos, Juan Pablo Rosado-Aíza, Fabiola R Gómez-Velázquez, David I. Ibarra-Zarate, Luz María Alonso-Valerdi ## Contact person César E. Corona-González https://orcid.org/0000-0002-7680-29

Participants

76

Size

2.71 GB

Updated

Jun 6, 2026

# MetaRDK Goueytes, D., Gigyer, L., Rouy, M., Hoffmann, D., Minotti, L., Kahane, P., Pereira, M., and Faivre, N. A functional overlap between evidence accumulation, confidence, and changes of mind in the human cortex. ## Overview ### Overview of the task MetaRDK is a project aiming to understand the neural correlates of decision making and decision making-related metacognition. Epileptic patient with pharmacology intractable epilepsy performed a perceptual decision making task associated wit

Participants

22

Size

663 KB

Updated

Jun 6, 2026

This dataset, used in the analysis reported by Kochi et al., (2025), contains intracranial EEG recordings from 119 individuals who performed an auditory‑naming task. Electrode coordinates are provided in MNI‑305 space. Each EDF file is tagged for the auditory naming task with the following event codes: 401 – stimulus onset 402 – stimulus offset 501 – response onset Reference: Ryuzaburo Kochi, Aya Kanno, Hiroshi Uda, Keisuke Hatano, Hidenori Endo, Michael Cools, Robert Rothermel, Aimee

Participants

119

Size

43.9 GB

Updated

Jun 6, 2026