Published January 25, 2022 | Version v3
Software Open

SmellTracker figure code and data

  • 1. Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
  • 2. Bezalel Academy of Fine Arts and Design, Department of Fine Arts, Jerusalem, Israel
  • 3. Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel and Department of Otolaryngology- Head & Neck Surgery, Edith Wolfson Medical Center, Holon, Israel
  • 4. Department of Otolaryngology- Head & Neck Surgery, Edith Wolfson Medical Center, Holon, Israel and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
  • 5. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
  • 6. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden and Department of Psychology, Stockholm University, Stockholm, Sweden
  • 7. Psychological institute, Oslo university, Oslo, Norway
  • 8. Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Japan
  • 9. Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
  • 10. Department of Agriculture, Food, Environment and Forestry, University of Florence, Italy
  • 11. Rhinology and Skull Base Surgery Unit. Otorhinolaryngology Department. Ramón y Cajal University Hospital. Madrid, Spain
  • 12. Lyon Neuroscience Research Center, CNRS - INSERM - University Claude Bernard of Lyon, Lyon, France
  • 13. Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands
  • 14. Smell and Taste Clinic, Department of Otorhinolaryngology, TU Dresden, Dresden, Germany
  • 15. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden and Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA

Description

This repository contains the code needed to generate the figures based on the smelltracker data.


The code is organized as follows.
Each sub-folder corresponds to a figure which appears in the paper.
In each sub-folder there is a code file. All figures except for figure one are
coded in MATLAB and use the statistics toolbox. Figure 1 is coded in python 3 using JupyterLab.

All run times are under 5 minutes.

Notes

code and data for figure 1c are omitted since the data contains location details which are omitted in order to not (partially) identify participants.

Files

SmelltrackerFigureCodeAndData.zip

Files (32.1 MB)

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