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| Format: | Recurso digital |
| Sprache: | Englisch |
| Veröffentlicht: |
Zenodo
2025
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| Online-Zugang: | https://doi.org/10.5281/zenodo.15765653 |
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| _version_ | 1866902164239024128 |
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| 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 |