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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Dataset: Calculation of pCO2 based on chemical variables

Research datakeyboard_double_arrow_right Dataset 29 Apr 2022Publisher:Zenodo
Authors: Couturier Mathilde; Prairie Y.T.; Paterson, A.M.; Emilson, E.J.S.; del Giorgio, P.A.;

doi: 10.5281/zenodo.6506243 , 10.5281/zenodo.6506244

Dataset: Calculation of pCO2 based on chemical variables

Abstract

The dataset contains the supplementary data generated and analyzed in the manuscript “Long term trends in pCO2 in lake surface water following rebrowning” by Couturier et al. The dataset includes 1) chemical variables (water temperature, pCO2, DIC, pH and Alkalinity) needed to estimate pCO2, 2) estimated pCO2 with different corrections (i.e., pH and organic alkalinity) and pairs parameters (i.e. DIC/pH and Alk/pH). The data were collected in 70 lakes (some repeatedly) located in Ontario, Canada in 2018 and 2019.

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