This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the June 2019 webinar Exploring Applications of Ecosystem Service Conceptual Models for Coastal Habitats.

This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the May 2019 webinar Human and Environmental Well-being in Alaska's Kachemak Bay Watershed: An Ecosystem Services Assessment.

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.

These slides summarize a webinar given by Maggie Pletta of the Delaware Reserve on March 12, 2019, about the development of new, innovative visitor displays at three reserves, partnering with students at the University of Delaware to produce gesture-controlled, educational computer games.

These slides summarize a webinar given byAlison Watts of the University of New Hampshire and Bree Yednock of the South Slough Reserve on February 14, 2019, featuring results from a pilot eDNA monitoring program being developed and tested at several National Estuarine Research Reserve (NERR) sites in New England and Oregon.

These slides summarize a webinar given by James Arnott of the University of Michigan on January 23, 2019 about his research based on examining 120 past NERRS funded projects and interviewing 40 of their participants.

This geodatabase contains GIS layers that illustrate the distribution of existing wetlands and identify locations where restoration is likely to have the greatest positive environmental impact in Douglas County, WI.

The Communities, Lands & Waterways Data Source is an encyclopedic compilation of all available data describing the socioeconomic and environmental conditions in the Coos Bay area.

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