1_Taconet_2023_ReadMe.txt

This file is part of "Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability".

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File Citation
Taconet, Paul; Soma, Diloma Dieudonné; Zogo, Barnabas; Mouline, Karine; Simard, Frédéric; Koffi Amanan, Alphonsine; Dabiré, Roch Kounbobr; Pennetier, Cédric; Moiroux, Nicolas, 2023, "Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", https://doi.org/10.23708/LV8GEW, DataSuds, V5; 1_Taconet_2023_ReadMe.txt [fileName]
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Dataset Citation
Taconet, Paul; Soma, Diloma Dieudonné; Zogo, Barnabas; Mouline, Karine; Simard, Frédéric; Koffi Amanan, Alphonsine; Dabiré, Roch Kounbobr; Pennetier, Cédric; Moiroux, Nicolas, 2023, "Data and code for: Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to adress their fine-scale spatiotemporal heterogeneity, drivers, and predictability", https://doi.org/10.23708/LV8GEW, DataSuds, V5
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This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

Data and documentations
Creative Commons License
Data and documentations are licensed under a Creative Commons Attribution 4.0 International License.
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R script (Taconet_2023_R_script_data_analysis.R) is licensed under the GNU General Public License v3.0.
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