A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.

These facilitation guides and job aids, part of a Resilience Metrics toolkit, provide tools and activities for each step of the process to develop and track metrics of adaptation 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.

This "edutainment" packet, developed by a 2016 Science Transfer team, is an outreach tool that describes threats to water quality along the Mississippi-Alabama coastline and helps end users understand how they can they can take actionable steps to improve local water quality.

This tool is a novel approach to compare the resilience of different marshes to sea level rise.

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

These talking points, developed by a 2015 Science Transfer project team, can help you communicate the importance of blue carbon and estuaries to different audiences.

This manual was developed as part of the Hudson River Sustainable Shorelines Project and describes simple, low-cost, representative methods for evaluating the function and integrity of ecologically enhanced shoreline projects.

This tool, developed for the 2011 Hudson River Sustainable Shorelines project, can be used to provide a rough quantification of site attributes known to affect biota and ecological processes in the shore zone.

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.