This is a Senior Honors Thesis written by Kinsey Fischer, an advisee of Rachel Noble. This study was conducted as part of a 2016 - 2020 collaborative research project about stormwater impacts in Beaufort, North Carolina.

This 2019 report describes the findings of a University of Michigan SEAS Master's project which provides insights for KBNERR regarding current ecosystem services valued in Kachemak Bay using a socio-cultural, place-based, ecosystem services framework.

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 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 dissertation was written by PhD student working at Hudson River Reserve on a project that assessed the buffering services of a coastal marsh in New York.

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

This thesis, written as part of a 2016 Collaborative Research project, describes a quantitative microbial assessment of stormwater in Beaufort, North Carolina.

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.

This dataset is a compilation of observed ice data statistics from United States Coast Guard daily ice reports along the tidal Hudson River during ice season and it includes linked aerial photographs as well as complete record data charts for river stretches and choke points.