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Dataset: Microplastic addition has no detectable effect on ecosystem metabolism or diel dinitrogen flux in a large in-lake mesocosm experiment under oligotrophic conditions

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Hoellein, Timothy

Summary

Researchers conducted a large in-lake mesocosm experiment at the Experimental Lakes Area in Ontario, Canada to test whether microplastic addition affects ecosystem metabolism or diel dinitrogen flux under oligotrophic conditions. The dataset and R code support the conclusion that microplastics had no detectable effect on these ecosystem-level processes under low-nutrient conditions.

This dataset and R code are relevant to the following: Data location and timeframe: All data were collected in 2021 in Lake 378 at the Experimental Lakes Area in Ontario, Canada Study Title: Microplastic addition has no detectable effect on ecosystem metabolism or diel dinitrogen flux in a large in-lake mesocosm experiment under oligotrophic conditions Authors: Raul Lazcano et al. Overarching project: The "pELAstic" project: A series of experimental additions of microplastics to Lake 378 at ELA, including pelagic mesocosms, littoral mesocosms, and the whole lake. Organization: The published datasets and code are divided into 5 folders. Folders 1 and 2 have the data and code to calculate ecosystem metabolism in the mesocosms and at the whole-lake scale Folder 3 has the data and code to calculate N2 flux in the mesocosms and whole-lake scale Folder 3 also has the data and code to compare the N2 dynamics across mescocosms and between lake habitats (epilimnion and hypolimnion) Folder 4 has the data and code for generalized linear mixed models (GLMM) to compare dissolved oyxgen, temperature, and metabolsim among mesocosms Folder 5 has the data and code for GLMM to compare metabolism and N2 dynamics between the mesocosms and the whole-lake level. Additional context: For the R code files in each folder, the code begins with a heading describing the contents Within the code, directions are noted throughout to describe steps for figure composition and statistical analysis To generate the summary stats tables in the manuscript and supplemental information The output from Rstudio was pasted into excel, and the table formatting completed within excel

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