This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.

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.

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.

This story map and K-12 activity invites students to explore coastal marsh vulnerability to sea level rise and a collaborative experiment to enhance marsh resilience at the Chesapeake Bay National Estuarine Research Reserve in Virginia.

This webinar was originally presented on February 20, 2020 as part of the Restoration Webinar Series, hosted by the National Oceanic and Atmospheric Administration and U.S. Fish & Wildlife Service's National Conservation Training Center. Presenters: Kerstin Wasson, Beth Watson, and Kenny Raposa

This video showcases an expo about classroom-tested science lesson plans created for the Virginia Scientists and Educators Alliance (VA SEA) by science graduate students. The VA SEA Project is currently supported by the Chesapeake Bay National Estuarine Research Reserve, Virginia Sea Grant, and the VIMS Marine Advisory Program.

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

This webinar series, hosted by Restore America's Estuaries, includes webinars delivered by the project team from the "Establishing a Blue Carbon Network for the Gulf Coast" project about blue carbon needs and opportunities on the Gulf Coast.