This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.

The Buffer Options for the Bay website integrates the key findings of Great Bay Reserve's 2015 Integrated Assessment project and is designed to help agencies, non-profits, and communities working on buffers in New Hampshire.

This paper details findings presented at the U.S.-Iran Symposium on Wetlands in March 2016 about the increasing watershed influence and hypo-salinity in Los Penasquitos Lagoon.

This 2017 article appeared in the journal Ecology, and presents findings from a study assessing the individual and synergistic effects of air temperature and salinity on Olympia oyster mortality across temporal patterns that accurately reflect the natural environment.

This 2016 journal article was published in Proceedings of the Royal Society B. The study highlights how extreme precipitation events in 2011 may have contributed to near 100% mass mortality of wild oysters in northern San Francisco Bay.

This journal article was published in Estuaries and Coasts in 2016, and decribes a study of how seasonal changes in temperature and salinity impact larval Olympia oyster recruitment across a range of sites and time intervals.

This model was developed by the Hudson River Sustainable Shorelines project team and can be used to understand the energy regimes impacting shorelines and to help identify suitable shoreline stabilization alternatives for sites along the Hudson River.

This dataset is a compilation of observed ice data statistics from United States Coast Guard daily ice reports along the tidal Hudson River during ice season and it includes linked aerial photographs as well as complete record data charts for river stretches and choke points.

This geodatabase contains a shoreline inventory for the tidal Hudson River shoreline from the Tappan Zee Bridge north to Troy, New York.

This article provides a comprehensive summary of what is known about the ecological functioning of the shore zone in freshwater ecosystems.