Published February 18, 2023 | Version 1.0.0
Dataset Restricted

Neural Encoding Models of Olfaction (NEMO) dataset

Authors/Creators

  • 1. Northwestern University, Chicago
  • 2. Rhodes College, Memphis
  • 3. University of Pennsylvania, Philadelphia
  • 4. National Institute on Drug Abuse Intramural Research Program, Baltimore

Description

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:

  1. 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.
  2. s<>_behavior.zip:
    1. 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.
    2. For S2 and S3, additional ratings acquired outside the scanner are in the folder <behavior_task>.
  3. s<>_breathing.zip: Unprocessed breathing/sniffing data in .mat format. It also contains information to align behavioral and scanning time series.
  4. 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_scripts
All queries must be directed to:
Vivek Sagar at sgr.vivek@gmail.com

Files

Restricted

The record is publicly accessible, but files are restricted. <a href="https://zenodo.org/account/settings/login?next=https://zenodo.org/records/7636722">Log in</a> to check if you have access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

To download this dataset, please submit an access request, agreeing to the following conditions. 

Conditions of use:

  1. The dataset can not be used to identify any personal information about the subjects.
  2. The dataset can only be used for research and academic purposes. 
  3. The dataset must be referenced using the Zenodo DOI and the associated journal article. 
  4. The dataset cannot be transferred to other users beyond those listed in the request. A separate access request must be filed for each user.
  5. Upon access, the dataset must be stored by the user with appropriate safety measures to avoid any unauthorized access.

You are currently not logged in. Do you have an account? Log in here

Additional details

Related works

Is published in
Publication: 10.1038/s41593-023-01414-4 (DOI)