What explains variation in patterns of violence across time and space? Documenting patterns is critical for the study of political violence and the formation of related policy aimed at reducing its occurrence. However, there is little consistency in how “patterns of violence” is conceptualized or applied. I organize and integrate data from some of the most widely used conflict databases along the following dimensions - target, force, and magnitude and generate a novel patterns of violence (POV) dataset. The dataset catalogs 340,810 unique events for 1,591 actors in 33 civil wars in 26 countries. I demonstrate how this configuration, scaled across different spatial and temporal levels of analysis for different actors, can identify unique trends and heterogeneities in violence.