Reanalysis shows there is not an extreme decline effect in fish ocean acidification studies - PLoS Biology

This data record is a reanalysis of data related to the publication "Meta-analysis reveals an extreme “decline effect” in the impacts of ocean acidification on fish behavior" by Jeff C. Clements, Josefin Sundin, Timothy D. Clark, Fredrik Jutfelt (2022) https://doi.org/10.1371/journal.pbio....

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Bibliographic Details
Other Authors: Philip Laing Munday (hasCollector)
Format: Dataset
Language:unknown
Published: James Cook University
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Online Access:https://researchdata.edu.au/reanalysis-shows-an-plos-biology/2032077
https://research.jcu.edu.au/data/published/f0bc6d0007bc11edb783f55a514556ce
https://doi.org/10.25903/jw8m-9007
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Summary:This data record is a reanalysis of data related to the publication "Meta-analysis reveals an extreme “decline effect” in the impacts of ocean acidification on fish behavior" by Jeff C. Clements, Josefin Sundin, Timothy D. Clark, Fredrik Jutfelt (2022) https://doi.org/10.1371/journal.pbio.3001511 . The data record includes 5 x R markdown files. 1) Rerun of the original analysis relating to the Clements et al. publication, 2) New analysis of the corrected and complete data set, 3) New analysis of the corrected and complete data using 0.1 to replace zeros in percentage and 0.01 to replace zeros in proportional data, 4) New analysis of the corrected and complete data using 1 to replace zeros in percentage data and 0.01 to replace zeros in proportional data, 5) New analysis of the corrected and complete data using 0.1 to replace zeros in percentage and 0.01 to replace zeros in proportional data, as well as the removal of publications in the original analysis that use levels of CO2 below 800 µatm. The excel data file relating to 1) Rerun of the original analysis is available with the original publication. There are 4 data files in this repository that match to R markdown files 2-5. Software/equipment used to create/collect the data: Microsoft Excel Software/equipment used to manipulate/analyse the data: R Version 4.1.0 and RStudio Version 2022.07.0