This collection of graphics was developed to support the project's outreach and communications efforts and is being made available for use by others.

This data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.

The majority of plastic marine debris originates from the land and storm drains are one common entry point. Plastic trash easily slips through the drain and ends up in our waterways.

These datasets are from an intensive field sampling in and adjacent to aquaculture operations in North Carolina, concentrating on wild shellfish resources and the physical and chemical environment, to assess ecosystem services and potential impacts of the oyster farms.

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.

This tool provides a framework for discussing a range of criteria when evaluating locations for shellfish aquaculture.

This slide deck summarizes findings from a collaborative research that looked at the ecological impacts and ecosystem service benefits of oyster farms in North Carolina.

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.

This curriculum was developed as part of a 2018 Science Transfer project to share knowledge and lessons learned about managing conflict in collaborative science.