A prototype Environmental Information System (EIS) that couples sensor measurements with end-to-end cyberinfrastructure is being created to demonstrate how observatory data can be used to improve understanding of hypoxia. Hypoxia is a common estuarine phenomenon that occurs when dissolved oxygen concentrations fall below 2 mg/L, and has resulted in about a ten-fold reduction in benthic standing stock and diversity in Corpus Christi Bay (CC Bay), Texas. In this project, an interdisciplinary team of hydrologists, environmental engineers, and biologists are collaborating to improve understanding of hypoxia by: (1) creating an Environmental Data Access System for CC Bay data archives, leveraging CUAHSI Hydrologic Information System (HIS) Web service developments to create data services that automatically ingest observed data in both national and local remote data archives; (2) developing an Environmental Modeling System for CC Bay hypoxia, combining numerical hydrodynamic, dissolved oxygen, and oxygen demand models with data mining using hierarchical machine learning algorithms; and (3) demonstrating the effectiveness of the EIS for supporting adaptive hypoxia sampling and collaborative research using the CyberCollaboratory. This paper will summarize current progress and plans for the project.