Predictive modeling of human norovirus and Escherichia coli inactivation in preharvest agricultural water (dataset and code)

Fuente: Zenodo
Salvato in:
Dettagli Bibliografici
Autore principale: Montazeri, Naim
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866902164239024128
author Montazeri, Naim
author_facet Montazeri, Naim
contents <p>This archive contains the data and Quarto-rendered analysis report associated with a study investigating the persistence of enteric pathogens in preharvest agricultural water. All analyses were conducted in R using Quarto for reproducible reporting. Variables are documented in the README file.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15765653
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Predictive modeling of human norovirus and Escherichia coli inactivation in preharvest agricultural water (dataset and code)
Montazeri, Naim
Agriculture
Agriculture
Enteric pathogens
Food Safety
Food Safety/methods
Norovirus
Modelling
Virology
Water
Sanitation
<p>This archive contains the data and Quarto-rendered analysis report associated with a study investigating the persistence of enteric pathogens in preharvest agricultural water. All analyses were conducted in R using Quarto for reproducible reporting. Variables are documented in the README file.</p>
title Predictive modeling of human norovirus and Escherichia coli inactivation in preharvest agricultural water (dataset and code)
topic Agriculture
Agriculture
Enteric pathogens
Food Safety
Food Safety/methods
Norovirus
Modelling
Virology
Water
Sanitation
url https://doi.org/10.5281/zenodo.15765653