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 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 resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2020 webinar Restoring Native Oysters on North America's West Coast.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the February 2020 webinar Resilience Dialogues: Strategies for Conflict Management in Collaborative Science.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2019 webinar Accelerating Collective Learning and Action for Enhanced Climate Resilience.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2019 webinar New Research to Inform Living Shoreline Design, Placement and Monitoring.

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.

This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.

These slides summarize a webinar given by Susi Moser on January 10, 2018 on the Successful Adaptation Indicators and Metrics project, which focuses on measuring the success of climate adaptation.

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.