Published June 16, 2022
| Version v2
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.
Updated on May 20th 2025
3D velocity data have been added to the dataset.
Files
Read_nose_ground_dataset.ipynb
Files
(28.3 GB)
| Name | Size | Download all |
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md5:1e264919fb96574ecfb1981eaccc7d20
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5.4 kB | Download |
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md5:e818f512f63e4cbbc8412fa9cec586d2
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5.5 GB | Download |
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md5:ce1b58a649b011acadb90c80c1e9a62e
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3.8 GB | Download |
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md5:5e674b6a30890f2de0dc720809baa936
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6.8 GB | Download |
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md5:ce390644cf1b075fac06360a6dbe1881
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6.8 GB | Download |
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md5:19183c88b76d2b62da6a3d94ceb5ffcf
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28.0 MB | Preview Download |
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md5:5df74ba35a3438a811ab73e30e2ec830
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890 Bytes | Download |
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md5:b005bbf4f51c60baabb68ebe7b73a553
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5.4 GB | Download |
Additional details
Related works
- Is described by
- Journal article: 10.7554/eLife.72196 (DOI)
- Is supplement to
- Journal article: 10.7554/eLife.76989 (DOI)