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Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013

Dates

Publication Date
Start Date
2011-07-18
End Date
2013-07-01

Citation

Corsi, S.R., Dila, D.K., Lenaker, P.L., Baldwin, A.K., Bootsma, M.J., and McLellan, S.L., 2018, Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013: U.S. Geological Survey data release, https://doi.org/10.5066/F7VX0DRH.

Summary

Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variables for these models are included in the data file and input files provided. These include sampling dates and times, rainfall depth, percent of watershed underlain by tile drainage, cattle population (for the ruminant marker model) and human population (for the human marker models). Sample collection and laboratory analyses methods are fully [...]

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Attached Files

Click on title to download individual files attached to this item.

Ancillary.zip
“Ancillary.zip”
445 Bytes application/zip
Model.zip
“Model.zip”
19.39 KB application/zip
Output.zip
“Output.zip”
1.09 KB application/zip
Source.zip
“Source.zip”
3.92 KB application/zip
dataArchiveFile.csv
“dataArchiveFile.csv”
18.01 KB text/csv
readme.txt
“readme.txt”
3.82 KB text/plain

Purpose

The models describe major factors that are associated with variability of human and ruminant marker flux in the eight sampled Great Lakes tributaries.

Map

Communities

  • USGS Data Release Products
  • Upper Midwest Water Science Center

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Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7VX0DRH

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