A high-throughput and sensitive method for food preference assays in the Argentine ant

The main dataset and R Markdown file can be found at https://zenodo.org/records/10953784 This addition was added following a reviewer’s suggestion and includes a post-hoc lateralisation test.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-22
DOI
https://doi.org/10.5281/zenodo.14204094
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

A high-throughput and sensitive method for food preference assays in the Argentine ant

Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
article

A high-throughput and sensitive method for food preference assays in the Argentine ant

article en

Abstract

The main dataset and R Markdown file can be found at https://zenodo.org/records/10953784 This addition was added following a reviewer’s suggestion and includes a post-hoc lateralisation test.

Zenodo (CERN European Organization for Nuclear Research)
University of Regensburg (DE)
Zero hunger
Openalex Percentile: Top 58%
Biomedical Text Mining and Ontologies
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A high-throughput and sensitive method for food preference assays in the Argentine ant · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS