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Karina-AriasCalluari/Temperature-in-beehives: Temperature-in-beehives

Authors: Karina Arias Calluari;

Karina-AriasCalluari/Temperature-in-beehives: Temperature-in-beehives

Abstract

This repository contains the implementation of a methodology to diagnose the status of a beehive based on its thermoregulatory capacity[1]. The Jupyter notebooks in the root file of the repository allow you to explore our results: Tutorials: Simple tutorials to explore the methodologies 1 and 2 for a stable and unstable hive. Results_Hives_2016: Results after processing six hives monitored from November 2016 to September 2017 under Methods 1 and 2. Results_Hives_2020: Results after processing 16 hives monitored from January 2020 to March 2020 under Methods 1 and 2, where three of the hives eventually collapsed. Computational_methods_hives_20XX: Computation and processing of Methods 1 and 2 for two hive sets. [1] "Assessing Honey Bee Colony Health Using Temperature Time Series", by Karina Arias-Calluari, Theotime Colin, Tanya Latty, Mary Myerscough, and Eduardo G. Altmann

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
0
Average
Average
Average