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In the last years, there is a trend towards network and multimedia applications to be implemented in portable devices. These applications usually contain complex dynamic data structures. The appropriate selection of the dynamic data type (DDT) combination of an application affects the performance and the energy consumption of the whole system. Thus, DDT exploration methodology is used to perform tradeoffs between design factors, such as performance and energy consumption. In this paper we provide a new approach to the DDT exploration procedure, based on a new library of DDTs which remedies the limitations of an existing and allows the DDT optimization of a wide range of application domains. Using the new library, we performed DDT exploration in network and multimedia benchmarks and achieved performance and energy consumption improvements up to 85% and 43% respectively.