Data for: High contrast markings can negate the benefits of transparent camouflage

Transparency is, in theory, the ultimate form of concealment allowing for perfect background matching camouflage regardless of the environment. In nature, despite some remarkable examples of highly transparent organisms, physiological constraints mean that transparency is often partial or imperfect. This raises the question of how deviation from true transparency may affect detectability and how camouflage functions. Indeed, it has recently been suggested that partial transparency may function as disruptive camouflage as adjacent transparent and opaque patches differentially blend into the background. Differential blending may therefore offer a route by which obligate opaque structures may be concealed. The glass frogs (Centrolenidae) are a classic example of transparency with ventral skin that allows for a view of the internal organs. However, although the ventral skin is transparent, and the frogs appear translucent, the internal organs are still largely opaque. Here we performed visu..., , # Data for: High contrast markings can negate the benefits of transparent camouflage Dataset DOI: [10.5061/dryad.xd2547dw6](https://doi.org/10.5061/dryad.xd2547dw6) ## Description of the data and file structure Here we include all the raw data from Yeager et al.*High contrast markings can negate the benefits of transparent camouflage*. This includes the raw survival data collected in the field, the RAW image files used in the visual modelling, and the processed colour and pattern contrast data derived from the RAW images. The survival data (MashpiFrogs_SurvivalData.csv) includes the timings of all predation events recorded during the field experiment. The images files (MashpiFrogs_ModelPhotos.zip) include all images used to quantify model colouration and patterning (n = 20 / treatment). Each model was photographed twice, once in the human visible (VIS) and once in the ultraviolet (UV). The colour contrast data (MashpiFrogs_COLdata.csv) includes the processed visual modelling dat..., ,