Seventeen projects involving 27 reserves across the nation and totaling more than $2 million have been recommended for support by NOAA’s National Estuarine Research Reserve System (NERRS) Science Collaborative.

This resource includes links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.

These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.

This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.

These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.

Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.

This dataset compiles salt marsh monitoring from four New England NERRs from 2010 to 2018, as part of a catalyst project to sythesize and identify regional trends in salt marsh data in the reserve system.

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

Eleven projects have been recommended for funding by the National Oceanic and Atmospheric Administration ’s National Estuarine Research Reserve System (NERRS) Science Collaborative.