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• Concentration ratios (CR_wo-media) are used in most radioecological models to predict radionuclide activity concentrations in wildlife from those in environmental media. 
• This simplistic approach amalgamates the various factors influencing transfer within a single generic value and, as a result, comparisons of model predictions with site-specific measurements can vary by orders of magnitude.  To improve model predictions, the development of ‘condition-specific’ CR_wo-media values has been proposed (e.g. for a specific habitat).  However, the underlying datasets for most CR_wo-media value databases, such as the wildlife transfer database

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• developed within the IAEA EMRAS II programme, include summarised data. This presents challenges for the calculation and subsequent statistical evaluation of condition-specific CR_wo-media values.  A further complication is the common use of arithmetic summary statistics to summarise data in source references, even though CR_wo-media values generally tend towards a lognormal distribution and should be summarised using geometric statistics.  In this paper, we propose a statistically-defensible and robust method for reconstructing underlying datasets to calculate condition-specific CR_wo-media values from summarised data and deriving appropriate summary statistics.