This resource includes two related databases that include a range of water quality parameters measured at stormwater outfalls in Beaufort, NC.

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.

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.

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.

These sediment and hydrodynamic data were collected as part of the 2016-2020 collaborative research project Improved Understanding of Sediment Dynamics for the Coos Estuary that produced a new bathymetric dataset for Coos Bay and a hydrodynamic model characterizing sediment distribution and circulation in the estuary.

Degradation of coastal habitats has led to major declines in oyster reefs and coastal wetlands. Coastal restoration efforts are critical to restoring these habitats, but they often include little to no monitoring and evaluation of success.

This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.

The Communities, Lands & Waterways Data Source is an encyclopedic compilation of all available data describing the socioeconomic and environmental conditions in the Coos Bay area.

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.