Through a 2020 catalyst project, university, reserve, and restoration practitioners partnered to understand social perceptions of saltmarsh restoration in Oregon to identify ways to better incorporate socially relevant information in restoration metrics, increase outreac

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.

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.

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.

These tidal wetland carbon stocks and environmental driver data were collected as part of the 2016-2019 collaborative research Pacific Northwest Carbon Stocks and Blue Carbon Database Project.

These datasets and statistical analysis codes model surge barrier effects on the Hudson River estuary, developed as part of the 2018 catalyst project Assessing the Physical Effects of Storm Surge Barriers on the Harbor and Hudson River Estuary.

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.

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.

These datasets contain sediment core samples from dam impoundments on tributaries to the Hudson River and tidal wetland complexes in the Hudson River estuary, collected as part of the 2016-2020 collaborative research project Dams and Sediment on the Hudson (DaSH).