Although automation has benefits for commercial aviation, it has led to undesirable consequences. One approach to understanding errors is the development and examination of cognitive models of the flying task. However, the construction of these models requires knowledge about the processes pilots use when they fly and how they acquire readings from their flight instruments. We explored this issue by collecting data from pilots interacting with a Boeing 747-400 desktop simulator. Eye track data provided information about where pilots were looking. This report describes the data obtained and provides suggestions for what these data mean in light of cognitive models.