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).
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Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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Mangroves and other habitats in Rookery Bay National Estuarine Research Reserve have been changing as a result of chronic stressors and severe hurricanes in recent years.
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Degradation of coastal habitats has led to major declines in oyster reefs and coastal wetlands. Coastal restoration efforts are critical to restoring these habitats, but they often include little to no monitoring and evaluation of success.
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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.
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This thesis represents the first study to examine a full individual energy budget for the triploid Eastern oyster, Crassostrea virginica, with implications for shellfish aquaculture in the southeastern United States.
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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.
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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.
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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.
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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.
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This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.