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#### Overview This synchronized multimodal neuroimaging dataset for studying brain language processing (SMN4Lang) contains: 1. fMRI and MEG data collected on the same 12 participant while they were listening to 6 hours of naturalistic stories; 2. high-resolution structural (T1, T2), diffusion MRI and resting-state fMRI data for each participant; 3. rich linguistic annotations for the stimuli, including word frequencies, part-of-speech tags, syntactic tree structures, time-aligned characters a

Participants

12

Size

631 GB

Within this study cEEGrid data from two previous studies were pooled. 15 participants from Jaeger et al. (2020) and 21 from Holtze et al. (2021) were included. Participants performed a two-competing speaker paradigm in both original studies. Participants were instructed to either attend to the left or right audio book. The paradigm consisted of six (Jaeger et al. 2020) or five (Holtze et al. 2021) 10-minute blocks of audio book presentation. In Jaeger et al. (2020) both audio books were al

Participants

36

Size

6.03 GB

Participants

29

Size

7.39 GB

Experiment Details Human electroencephalography recordings from 80 participants. Participants first provided their attitudes about a set of sociopolitical issues, then view photographs of protests that were ostensibly about those same issues. Prior to each photo, they saw a pie chart indicating social support for the issue (low, medium, or high). After each photo, they indicated their support for the protestors. Other data and analysis scripts can be found on OSF (DOI 10.17605/OSF.IO/32DAS) or

Participants

80

Size

101 GB

Experiment Details Human electroencephalography recordings from 20 participants. Participants viewed rapid sequences of overlaid oriented grating pairs while detecting a “target” grating of a particular orientation. We manipulated attention, one grating was attended and the other ignored (cued by colour), and temporal expectation, with stimulus onset timing either predictable or not. Experiment length: 1 hour More information: https://doi.org/10.17605/OSF.IO/5B8K6 (OSF repository with more

Participants

20

Size

15.4 GB

This group contains 13 participants that went through a thorough screening and did 2 sessions (different days) each. Experiment design corresponded in alternating (5 minutes) blocs of trance channeling and resting state (3 periods per session for each condition).

Participants

13

Size

11.6 GB

This dataset consists of raw 18-channel EEG and functional near infrareds(fNIRS) from 7 human paticipants with orthopedic Impairment during motor imagery(MI). The participants performed a series of MI-related trials across three sessions. These sessions comprised 40 trials, of which four different MI tasks were presented in random order (e.g., Reach → Twist → Lift → Reach → Grasp → Grasp → Twist → Reach → Lift → Reach). Each trial began with 3 s of fixation cross. The monitor then displayed a 4

Participants

7

Size

617 MB

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.,

Participants

13

Size

1021 GB

Introduction This EEG dataset contains the electrophysiological signal from sixty-two obese and non-obese preteens during a delayed-verification math task. The stimuli were designed and administered using E-Prime software (Version 2) at Arkansas Children Nutrition Center (ACNC), Little Rock, Arkansas. The University of Arkansas for Medical Sciences (UAMS) approved the study protocol. This research was supported by USDA/Agricultural Research Service Project 6026-51000-012-06S. Raw data file

Participants

62

Size

17.3 GB

Grootswagers T.*, Robinson A.K.*, Carlson T.A. (2019). The representational dynamics of visual objects in rapid serial visual processing streams. NeuroImage, 188, 668-679 https://doi.org/10.1016/j.neuroimage.2018.12.046 See also https://osf.io/a7knv/

Participants

16

Size

10.6 GB