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Censored data are seldom taken into account in Species SensitivityDistribution (SSD) analysis. However, they are found in virtually every datasetand sometimes represent the better part of the data. Stringent recommendationson data quality often lead to discard a lot of this meaningful data, oftenresulting in datasets of reduced size, which lack representativeness of anyrealistic community. However, it is reasonably simple to include censored datainto SSD by using an extension of the standard maximum likelihood method. Inthis paper, we detail this approach based on the use of the R-package\emph{fitdistrplus}, dedicated to the fit of parametric probabilitydistributions. In particular, we introduce the new web-tool MOSAIC$\_$SSD tofit an SSD on datasets containing any kind of data, censored or not.MOSAIC$\_$SSD allows predicting any Hazardous Concentration (HC) and providesin addition bootstrap confidence intervals on the prediction. In the end,taking examples from published data, we illustrate the added value of includingcensored data in SSD.

MOSAIC_SSD: a new web-tool for the Species Sensitivity Distribution, allowing to include censored data by maximum likelihood