  There is a growing interest in product aesthetics analytics and design.
However, the lack of available large-scale data that covers various variables
and information is one of the biggest challenges faced by analysts and
researchers. In this paper, we present our multidisciplinary initiative of
developing a comprehensive automotive dataset from different online sources and
formats. Specifically, the created dataset contains 1.4 million images from 899
car models and their corresponding model specifications and sales information
over more than ten years in the UK market. Our work makes significant
contributions to: (i) research and applications in the automotive industry;
(ii) big data creation and sharing; (iii) database design; and (iv) data
fusion. Apart from our motivation, technical details and data structure, we
further present three simple examples to demonstrate how our data can be used
in business research and applications.
