Articles | Volume 37, issue 2
https://doi.org/10.5194/jm-37-519-2018
https://doi.org/10.5194/jm-37-519-2018
Research article
 | 
04 Dec 2018
Research article |  | 04 Dec 2018

Reproducibility of species recognition in modern planktonic foraminifera and its implications for analyses of community structure

Nadia Al-Sabouni, Isabel S. Fenton, Richard J. Telford, and Michal Kučera

Data sets

Dataset: Al Sabouni et al Reproducibility I. Fenton https://doi.org/10.5519/0090655

Model code and software

Dataset: Al Sabouni et al Reproducibility I. Fenton https://doi.org/10.5519/0090655

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Short summary
In this study we investigate consistency in species-level identifications and whether disagreements are predictable. Overall, 21 researchers from across the globe identified sets of 300 specimens or digital images of planktonic foraminifera. Digital identifications tended to be more disparate. Participants trained by the same person often had more similar identifications. Disagreements hardly affected transfer-function temperature estimates but produced larger differences in diversity metrics.