This README.txt file was generated on 20230209 by Leila Wehbe # # General instructions for completing README: # For sections that are non-applicable, mark as N/A (do not delete any sections). # Please leave all commented sections in README (do not delete any text). # ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: # # Authors: Include contact information for at least the # first author and corresponding author (if not the same), # specifically email address, phone number (optional, but preferred), and institution. # Contact information for all authors is preferred. # 2. Author Information First Author Contact Information Name: Nidhi Jain Institution: Carnegie Mellon University Address: 5000 Forbes Avenue, Pittsburgh, PA 15213 Email: nidhij1@andrew.cmu.edu Phone Number: N/A Corresponding Author Contact Information Name: Leila Wehbe Institution: Carnegie Mellon University Address: 5000 Forbes Avenue, Pittsburgh, PA 15213 Email: lwehbe@cmu.edu Phone Number: 412-999-2829 Author Contact Information (if applicable) Name: Michael Tarr Institution: Carnegie Mellon University Address: 5000 Forbes Avenue, Pittsburgh, PA 15213 Email: michaeltarr@cmu.edu Phone Number: N/A --------------------- DATA & FILE OVERVIEW --------------------- # # Directory of Files in Dataset: List and define the different # files included in the dataset. This serves as its table of # contents. # Directory of Files: A. Filename: S/stimuli/BW_.csv Short description: csv file containing the name of each stimulus image and the onset time. B. Filename: S/rBW_.nii Short description: nifti file containing the motion corrected fMRI data for one run of the localizer experiment C. Filename: N/A Short description: N/A Additional Notes on File Relationships, Context, or Content (for example, if a user wants to reuse and/or cite your data, what information would you want them to know?): This data is created by running a functional localizer to identify a visual food selective region. Each run of the experiment is paired with a csv file that indicates the onset of each image in order to enable data analysis. The code to run the analysis is available on github: - https://github.com/brainML/food4thought This data is part of the following paper: - Jain, N., Wang, A., Henderson, M. M., Lin, R., Prince, J. S., Tarr, M. J., & Wehbe, L. (2023). Food for thought: selectivity for food in human ventral visual cortex. Communications Biology. # # File Naming Convention: Define your File Naming Convention # (FNC), the framework used for naming your files systematically # to describe what they contain, which could be combined with the # Directory of Files. # File Naming Convention: stimulus files: S/stimuli/BW_.csv fMRI files: S/rBW_.nii # # Data Description: A data description, dictionary, or codebook # defines the variables and abbreviations used in a dataset. This # information can be included in the README file, in a separate # file, or as part of the data file. If it is in a separate file # or in the data file, explain where this information is located # and ensure that it is accessible without specialized software. # (We recommend using plain text files or tabular plain text CSV # files exported from spreadsheet software.) # ----------------------------------------- DATA DESCRIPTION FOR: [FILENAME] ----------------------------------------- 1. Number of variables: fMRI data has a large number of dimensions. 2. Number of cases/rows: The number of dimensions depends on an individual's anatomy. 3. Missing data codes: Code/symbol N/A Definition N/A Code/symbol N/A Definition N/A 4. Variable List # # Example. Name: Wall Type # Description: The type of materials present in the wall type for housing surveys collected in the project. # 1 = Brick # 2 = Concrete blocks # 3 = Clay # 4 = Steel panels A. Name: header of data Description: this is a part of the nifti format and contains information useful for reading an fMRI data file. Value labels if appropriate B. Name: fMRI data Description: this is a 4D matrix (time * space) that records the activity across the brain in time. Value labels if appropriate -------------------------- METHODOLOGICAL INFORMATION -------------------------- # # Software: If specialized software(s) generated your data or # are necessary to interpret it, please provide for each (if # applicable): software name, version, system requirements, # and developer. #If you developed the software, please provide (if applicable): #A copy of the software’s binary executable compatible with the system requirements described above. #A source snapshot or distribution if the source code is not stored in a publicly available online repository. #All software source components, including pointers to source(s) for third-party components (if any) 1. Software-specific information: Name: food4thought python package Version: 1 System Requirements: python 3 Open Source? (Y/N): Y (if available and applicable) Executable URL: Source Repository URL: https://github.com/brainML/food4thought Developer: Product URL: Software source components: Additional Notes(such as, will this software not run on certain operating systems?): N/A # # Equipment: If specialized equipment generated your data, # please provide for each (if applicable): equipment name, # manufacturer, model, and calibration information. Be sure # to include specialized file format information in the data # dictionary. # 2. Equipment-specific information: Manufacturer: Siemens Model: Prisma (if applicable) Embedded Software / Firmware Name: Embedded Software / Firmware Version: Additional Notes: # # Dates of Data Collection: List the dates and/or times of # data collection. # 3. Date of data collection (single date, range, approximate date) : 20220818-20220826