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Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Alternation emerges as a multi-modal strategy for turbulent odor navigation - Dataset

Authors: Rigolli Nicola; Reddy Gautam; Seminara Agnese; Vergassola Massimo;

Alternation emerges as a multi-modal strategy for turbulent odor navigation - Dataset

Abstract

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 20253D velocity data have been added to the dataset.

Keywords

olfactory navigation, odor, turbulence

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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