This expanded deployment of ground sensors may enable the coupling of ground and column observations. Algorithms for detecting emission events that couple ground and column observations could be developed using learning and testing datasets based on simulations similar to those conducted in this work, but large numbers of events would need to be simulated. To begin to address this need, an expanded dataset for the Eagle Ford production region has been created. The dataset includes column loadings and ground concentrations (1-hour temporal resolution, 1.33 km horizontal spatial resolution) due to routine emissions, column loadings, and ground concentrations due to emission events. These data sets can serve as a testing platform for emission event detection algorithms and measurement needs.