These explainer videos, developed as part of a 2017 collaborative research project, help explain the motivation for the project, the approach, and the decision support tool and its application.

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.

This data resource includes eDNA sequences, fish species summary tables, and DNA extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and Heʻeia National Estuarine Research Reserves.

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.

To foster greater engagement in science learning among deaf and hard of hearing K-12 students and increase the number of deaf people entering science professions, The Learning Center for the Deaf, Boston University, and three national estuarine research reserves in New England collaborated to dev

These American Sign Language video modules address Watersheds, Water Quality, Water Quality Monitoring, Estuary Values, and Sea Level Rise, teaching important concepts as well as new scientific vocabulary in sign language.