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Dataset . 2023
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ZENODO
Dataset . 2023
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Seafood mislabelling in Australia

Authors: Cundy, Megan E.; Santana-Garcon, Julia; McLennan, Alexander G.; Ayad, Marcelle; Bayer, Philipp E.; Cooper, Madalyn; Corrigan, Shannon; +2 Authors

Seafood mislabelling in Australia

Abstract

Input data for the Cundy et al. paper: Seafood label quality and mislabelling rates hamper consumer choices for sustainability in Australia. Includes .fasta files used to create a forward and reverse sequence consensus as well as .xlsx files with the various inputs into the processing script.

These data are currently under review and a processing script will be published in a linked GitHub repository on publication of the study.

Related Organizations
Keywords

Mislabelling, Seafood, Genomics

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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.
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