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{"references": ["Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne,Heloise (2016). seacarb: Seawater Carbonate Chemistry. R package version 3.0.14. http://CRAN.R-project.org/package=seacarb", "Chang, Winston; Cheng, Joe; Allaire, JJ; Xie, Yihui; McPherson, Jonathan (2016). shiny: Web Application Framework for R. R package version 0.13.2. http://CRAN.R-project.org/package=shiny", "Wickham H. (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York.", "R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. http://www.R-project.org/"]}
Interactively calculate carbonate chemistry using the seacarb and shiny libraries in the open-source R computing platform. Features include: Plot - visualize carbonate chemistry. Propagate errors through Monte Carlo simulation. Downloadable plots. Upload - upload data and calculate carbonate chemistry from 2 carbonate chemistry parameters. Processed - QA/QC on processed data from the Upload tab. Visualize results and query points.
carbon, carbonate chemistry, seacarb
carbon, carbonate chemistry, seacarb
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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