Neural Encoding Models of Olfaction (NEMO) dataset

<p>This dataset constitutes files from&nbsp;a precision fMRI imaging experiment in which 18&nbsp;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&nbsp;the dataset was collected over 12 separate sessions. Each session was further conducted over four runs. Each odor&nbsp;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.</p> <p>The dataset consists of zip files of .nii images, behavioral ratings, breathing/respiratory&nbsp;data, and uncompressed and defaced T1 images for each subject.</p> <p>File Description:</p> <ol> <li>s&lt;&gt;_imaging.zip: *nii files containing unprocessed BOLD data while odors were presented. &lt;&gt; Corresponds to the 3 subjects S01, S02, S03. It also contains whole brain images useful in coregistering the BOLD data to anatomical T1.</li> <li>s&lt;&gt;_behavior.zip: <ol> <li>Unprocessed Matlab (.mat)&nbsp;datasets of odors delivered during the scans. Each file also contains perceptual ratings in response to&nbsp;odors. The time series for the raw behavioral data is not in alignment with BOLD data.</li> <li>For S2 and S3, additional ratings acquired outside the scanner are in the folder &lt;behavior_task&gt;.</li> </ol> </li> <li>s&lt;&gt;_breathing.zip: Unprocessed breathing/sniffing data in .mat format. It also contains information to align behavioral and scanning time series.</li> <li>s&lt;&gt;_defaced.nii: Defaced anatomical T1 images for each subject.</li> </ol> <p>For a detailed description of data acquisition, scanning parameters,&nbsp;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.<br>To see how&nbsp; to file a guest access please see: <a href="https://help.zenodo.org/docs/share/access-requests/request-access/#guest">Guest Access Help</a></p> <p>Github: https://github.com/viveksgr/NEMO_scripts<br>All queries must be directed to:<br>Vivek Sagar at sgr.vivek@gmail.com</p>