Complex and heterogeneous software systems need to be monitored as their full behavior often only emerges at runtime, e.g., when interacting with other systems or the environment. Software monitoring approaches observe and check properties or quality attributes of software systems during operation. Such approaches have been developed in diverse communities and for various kinds of systems and purposes. For instance, requirements monitoring aims to check at runtime whether a software system adheres to its requirements, while resource or performance monitoring collects information about the consumption of computing resources by the monitored system. Many venues publish research on software monitoring, often using diverse terminology, focusing on different monitoring aspects and phases. The lack of a comprehensive overview of existing research often leads to re-inventing the wheel. We provide a domain model to structure and systematize the field of software monitoring, starting with requirements and resource monitoring. For more information on the domain model, please refer to the authors' publication lists. In this dataset we provide details on 47 approaches we analyzed with the model to assess its coverage. Please note that this is version 1.1 from January 30, 2019 and a more recent version might be available (link on top of dataset).