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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A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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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).
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The collaborative research project, Re-engineering Living Shorelines for High-Energy Coastal Environments, produced four datasets as part of their assessment of living shoreline installations at GTM Reserve in Florida.
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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 code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.
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Eleven projects have been recommended for funding by the National Oceanic and Atmospheric Administration ’s National Estuarine Research Reserve System (NERRS) Science Collaborative.
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Nearly $400,000 will be awarded by NOAA ’s National Estuarine Research Reserve System Science Collaborative, managed by University of Michigan Water Center, to four projects involving 15 reserve sites across the nation.
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NOAA ’s National Estuarine Research Reserve System Science Collaborative, managed by University of Michigan Water Center, is pleased to announce the outcome of the 2017 Science Transfer competition.
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The National Estuarine Research Reserve System (NERRS) Science Collaborative is pleased to announce the results of the 2016 competition for research and integrated assessment proj
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NOAA ’s National Estuarine Research Reserve System Science Collaborative, managed by the University of Michigan Water Center, is pleased to announce the outcome of this year ’s competition