This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project.
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A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project related to sediment trapped behind dams and sediment supply in the Hudson River estuary
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This factsheet summarizes findings from the Dams and Sediment in the Hudson collaborative research project related to tidal wetlands in the Hudson River estuary.
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This summary brochure describes thin-layer placement (TLP) as a strategy for marsh resilience, and National Estuarine Research Reserve System research and recommendations for TLP use.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the February 2020 webinar Resilience Dialogues: Strategies for Conflict Management in Collaborative Science.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the December 2019 webinar Leveraging NERRS System-Wide Monitoring Program Data for Wetland Research and Management.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the September 2019 webinar Accelerating Collective Learning and Action for Enhanced Climate Resilience.
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This resource contains the presenter slides, Q&A responses, recording, and presenter bios from the April 2019 webinar New Research to Inform Living Shoreline Design, Placement and Monitoring.
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These slides summarize a webinar given by Maggie Pletta of the Delaware Reserve on March 12, 2019, about the development of new, innovative visitor displays at three reserves, partnering with students at the University of Delaware to produce gesture-controlled, educational computer games.
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These slides summarize a webinar given by Thomas Grothues of the Jacques Cousteau Reserve on September 19, 2018 about methods for analyzing trends in SWMP temperature with missing data.