Published June 16, 2022
| Version v1
Dataset
Open
Alternation emerges as a multi-modal strategy for turbulent odor navigation - Dataset
- 1. Department of Civil, Chemical and Mechanical Engineering, University of Genova, Italy
- 2. NSF-Simons Center for Mathematical and Statistical Analysis of Biology, 8 Harvard University, Cambridge, United States
- 3. Laboratoire de physique de l'École Normale Supérieure
Description
Dataset from 3D direct numerical simulation of odor evolution in a turbulent channel flow.
The dataset contains two .mat files with nose (z ~ 50 cm) and ground (z = 0) level 2D slices;
coordinates.mat with the coordinates in X and Y directions;
and a Jupyter Notebook file (Read_nose_ground_dataset) to read and plot the 2D fields.
Files
Read_nose_ground_dataset.ipynb
Files
(13.6 GB)
Additional details
Related works
- Is cited by
- Preprint: 10.1101/2021.12.14.472675 (DOI)