Developing new ideas and algorithms or comparing new findings in the field of requirements engineering and management implies a dataset to work with. Collecting the required data is time consuming, tedious, and may involve unforeseen difficulties. The need for datasets often forces re-searchers to collect data themselves in order to evaluate their findings. However, comparing results with other publications is especially difficult on proprietary datasets. A big obstacle is the reproduction of a previously used dataset, which may include subtle preprocessing steps not explicitly mentioned by the original authors. Providing a predefined dataset avoids these problems. It establishes a common baseline and enables direct comparison for benchmarking. This paper provides a well defined dataset consisting of seven open source software projects. It contains a large number of typed development artifacts and links between them. Enriched with additional metadata, such as time stamps, versions, and component information, the dataset allows answering a broad range of research questions.