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Resources

Resources

A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.

Displaying 1 - 10 of 15
Case Study |
Case study: Orchestrating large-scale stakeholder workshops
GUIDE CASE STUDY: Interactive workshops engaging stakeholders require time and effort to plan and implement. This project team at the Hudson River NERR held a day-long workshop to share project results and products with approximately 50 stakeholders including engineers, landscape architects, state permitting officials, and researchers.
Case Study |
Case Study: Communicating project goals with logic models
GUIDE CASE STUDY: A logic model can clearly and concisely communicate your project’s goals, objectives, resources, and outcomes to the larger team and your stakeholders. The Our Coast, Our Future project team developed a logic model so that the stakeholders they had engaged in the process could see how the project fit into the complex and dynamic coastal management situation in California.
Data |
Model Input and Output Data used to Assess the Storm Buffering Capacity of Piermont Marsh, NY

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.

Data |
Environmental DNA Sequences and Extractions from Six Reserves

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.

Case Study |
Best Practices for Conflict Management in Collaborative Science

These four case studies give examples of four best practices for conflict management in collaborative science. They were developed as part of the Resilience Dialogues project to share lessons learned about effective collaboration from within the National Estuarine Research Reserve System.

Data |
Thin-Layer Sediment Placement in Coastal Marshes Monitoring and Experimental Data
About this Project

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.

Data |
Datasets and Modeling: Analysis of Surge Barrier Effects on the Hudson River Estuary

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.

Data |
Field Observations and Model Simulations for the Dams and Sediment in the Hudson Project

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).

Case Study |
Resilience Metrics Case Studies

These case studies, part of a Resilience Metrics toolkit, show how particular communities have defined and tracked their progress on climate adaptation goals.

Data |
Ecological and physical performance measures of four built sustainable shorelines along the Hudson River, New York

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.