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.

This geodatabase of groundwater on the Kenai Peninsula, Alaska, can be used as a foundation for decision-making to determine the locations of aquifers and predict groundwater discharge to streams.

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.

This how-to guide describes how to synthesize salt marsh monitoring data from the National Estuarine Research Reserve System.

This how-to guide describes how to integrate plant cover data from two common methods of estimating marsh plant cover.

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).

This dam sediment estimation tool, developed through the Dams and Sediment in the Hudson (DaSH) project, supports dam removal planning for the Lower Hudson River valley.

This stakeholder engagement plan outlines an approach to strengthen stakeholder networks and advance blue carbon conversations in the Kenai Lowlands, Alaska.

This focus group template is part of a training and facilitation toolkit, developed to help coastal leaders use the Alaska Fisheries Resilience Index to promote coastal resilience.