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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This project overview describes a 2018 Catalyst project that facilitated the development of a collaborative research agenda to study the ecological and physical impacts of storm surge barriers on the Hudson River Estuary.
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This resource contains the webinar recording as well as the presenter slides and Q&A responses from the September 2020 webinar Dams and Sediment in the Hudson.
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This guidance report from New York State ’s Department of Environmental Conservation and Department of State provides an overview of natural resilience measures and how they can reduce risk of flooding and erosion.
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This project overview describes the Dams and Sediment in the Hudson collaborative research project that assessed how sediment released by dam removals would affect the Hudson River estuary and provide practical tools to regulators and practitioners.
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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.
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Slides and a video recording are available from a final stakholder meeting for a study that examined the buffering capacity of a shoreline marsh along Hudson River estuary.
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This webinar, conducted June 30, 2020, presents research findings from the 2018-2020 catalyst project Assessing the Physical Effects of Storm Surge Barriers on the Harbor and Hudson River Estuary.
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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).