Results/Conclusions We developed SPAN using extensible building blocks that can be integrated to meet specific scientific requirements. As an open-source and flexible data acquisition architecture, not tied to a particular sensor brand or application, SPAN works with several commonly used data loggers in conjunction with analog, digital, and complex sensors (e.g. imagers and robotic sensors). SPAN allows real-time data access, and provides various options for long haul communication, including cellular and satellite links. This real-time communication enables field scientists to reconfigure sensors remotely and to monitor their status. SPAN offers intuitive user interfaces to configure, control, and monitor deployments from a lab desktop, or in the field, using a laptop or PDA. As such, the system facilitates sensor calibration and system tuning in the field. We employed a deployment driven design, build, and test approach in close collaboration with scientists, who provide requirements and technology verification to drive the design. SPAN has been used for diverse scientific applications throughout the world: from studying mercury cycling in rice paddies in China, to ecological research in the neotropical rainforests of Costa Rica, to monitoring the contamination of salt lakes in Argentina. In this poster we describe the SPAN architecture, experiences working with different scientific applications, and lessons learned from the deployments.