  The growth rate of the number of scientific publications is constantly
increasing, creating important challenges in the identification of valuable
research and in various scholarly data management applications, in general. In
this context, measures which can effectively quantify the scientific impact
could be invaluable. In this work, we present BIP! DB, an open dataset that
contains a variety of impact measures calculated for a large collection of more
than 100 million scientific publications from various disciplines.
