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Green-et-al.-2021-Datasets

The data presented here were used in Green et al. 2021 and Weller et al. (2020). If you download and use a given dataset cite Green at al. (2021) and Weller et al. (2020).

These data were also used in Weller et al. (2024) and Weller et al. (2022). Paired pathogen data were described in Weller et al. (2020).

Citation:

Green H, Wilder M, Wiedmann M and Weller D (2021) Integrative Survey of 68 Non-overlapping Upstate New York Watersheds Reveals Stream Features Associated With Aquatic Fecal Contamination. Front. Microbiol. 12:684533. doi: 10.3389/fmicb.2021.684533. https://www.frontiersin.org/articles/10.3389/fmicb.2021.684533/full

Weller, D., A. Belias, H. Green, S. Roof, and M. Wiedmann. 2020. Landscape, water quality, and weather factors associated with an increased likelihood of foodborne pathogen contamination of New York streams used to source water for produce production. Frontiers in Sustainable Food Systems. (3) 124. https://www.frontiersin.org/articles/10.3389/fsufs.2019.00124/full

Weller, D. L., T. M. T. Love, D. E. Weller, C. Murphy, B. Rahm, and M. Wiedmann. 2022. Structural equation models suggest that on-farm non-crop vegetation removal is not associated with improved food safety outcomes but is linked to impaired water quality. Applied and Environmental Microbiology (88): e0160022.https://journals.asm.org/doi/full/10.1128/aem.01600-22?af=R

Weller, D., C. Murphy, T. Love, M. Danyluk, and L. Strawn. 2024. Methodological differences between studies confound one-size-fits-all approaches to managing surface waterways for food and water safety. Applied and Environmental Microbiology. In-press. https://journals.asm.org/doi/10.1128/aem.01835-23

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