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Neural Encoding Models of Olfaction (NEMO) dataset

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https://zenodo.org/record/7636721
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This dataset constitutes files from a precision fMRI imaging experiment in which 18 hours of fMRI data/subject were collected from 3 human subjects (S1-3). In this experiment, 160 monomolecular odors were presented in 4 sets of 40 odors. Each set was presented in 3 different scanning sessions, and the dataset was collected over 12 separate sessions. Each session was further conducted over four runs. Each odor was presented 27-30 for each subject. Ratings of odors to perceptual ratings were also acquired during the scanning sessions. For S2 and S3, additional perceptual ratings were acquired outside the scanner. The dataset consists of zip files of .nii images, behavioral ratings, breathing/respiratory data, and uncompressed and defaced T1 images for each subject. File Description: s<>_imaging.zip: *nii files containing unprocessed BOLD data while odors were presented. <> Corresponds to the 3 subjects S01, S02, S03. It also contains whole brain images useful in coregistering the BOLD data to anatomical T1. s<>_behavior.zip: Unprocessed Matlab (.mat) datasets of odors delivered during the scans. Each file also contains perceptual ratings in response to odors. The time series for the raw behavioral data is not in alignment with BOLD data. For S2 and S3, additional ratings acquired outside the scanner are in the folder . s<>_breathing.zip: Unprocessed breathing/sniffing data in .mat format. It also contains information to align behavioral and scanning time series. s<>_defaced.nii: Defaced anatomical T1 images for each subject. For a detailed description of data acquisition, scanning parameters, and the experimental design, please refer to the publication. For scripts to analyze this dataset and further documentation, please refer to the GitHub repository. To download this dataset, please submit a guest access request below.To see how  to file a guest access please see: Guest Access Help Github: https://github.com/viveksgr/NEMO_scriptsAll queries must be directed to:Vivek Sagar at sgr.vivek@gmail.com
创建时间:
2024-02-23
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