Data from: Intensive environmental sampling and whole genome sequence-based characterization of Listeria in small and medium sized dairy plants reveal opportunities for simplified and size-appropriate environmental monitoring strategies

Collections
Food Science Research
Author
Bolten, Samantha
Lott, Timothy T.
Ralyea, Robert D.
Gianforte, Anika
Trmcic, Aljosa
Orsi, Renato H.
Martin, Nicole H.
Wiedmann, Martin
Description
Please cite as:
Samantha Bolten, Timothy T. Lott, Robert D. Ralyea, Anika Gianforte, Aljosa Trmcic, Renato H. Orsi, Nicole H. Martin, Martin Wiedmann. (2023) Data from: Intensive environmental sampling and whole genome sequence-based characterization of Listeria in small and medium sized dairy plants reveal opportunities for simplified and size-appropriate environmental monitoring strategies. [dataset] Cornell University eCommons Repository. https://doi.org/10.7298/ah3b-ew05
Sponsorship
This research was supported by the New York Dairy Promotion Order grant (Albany, NY, Award Number: #C012388) awarded to M. Wiedmann and N. H. Martin.
Date Issued
2023
Keywords
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Related Publication(s)
Bolten, S., Lott, T.T., Ralyea, R.D., Gianforte, A., Trmcic, A., Orsi, R.H., Martin, N.H. and Wiedmann, M. (2024). Intensive environmental sampling and whole genome sequence-based characterization of Listeria in small and medium sized dairy facilities reveal opportunities for simplified and size-appropriate environmental monitoring strategies. Journal of Food Protection, 87(4),100254. https://doi.org/10.1016/j.jfp.2024.100254
Link(s) to Related Publication(s)
Rights
CC0 1.0 Universal
Rights URI
Type
dataset
Accessibility Hazard
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