These data encompass the nearshore fish surveys conducted by the Kachemak Bay Reserve as part of a 2020 catalyst project that expanded research collaborations and completed proof of concept activities to catalyze future research on the mechanisms of paralytic shellfish toxin transfer from forage fish to upper trophic populations.

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.

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.

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.

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).

This Master's thesis examines sediment accumulation in two disparate coastal environments, including the Hudson River Reserve, as part of a larger research project about marsh formation and resilience, sediment movement, and the potential impact of dam removals.

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 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.