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Resources

Resources

A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.

Displaying 41 - 50 of 215
Multimedia |

These explainer videos, developed as part of a 2017 collaborative research project, help explain the motivation for the project, the approach, and the decision support tool and its application.

Project Overview |

This project overview describes a 2017 Collaborative Research project that explores how oyster aquaculture practices may be used to remediate water quality in Cape Cod, Massachusetts.

Multimedia |

Data |

This resource includes links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.

Journal Article |

This open access article describes an assessment of the storm buffering services provided by Piermont Marsh, New York.

Project Overview |

This project overview describes a 2016 Collaborative Research project that designed and applied predictive models to better understand the buffering services provided by Piermont Marsh on New York's Hudson River.

Journal Article |

This 2020 article which appeared in Estuaries and Coasts describes a study that evaluated rates of gross oxygen production over different time scales in a shallow temperate salt marsh pond as part of a 2017-2020 collaborative research project.

Journal Article |

This 2020 article which appeared in Geomorphology describes a model to predict marsh pond dynamics in New England salt marshes that was developed as part of a 2017-2020 collaborative research project .

Journal Article |

This 2020 article which appeared in the Journal of Geophysical Research: Biogeosciences describes a study that examined pond development and properties in salt marshes in order to better characterize them under different management and sea level rise scenarios as part of a 2017-2020 collaborative research project.

Journal Article |

This 2019 article, which appeared in Nature Geoscience, suggests the importance of the integration of decomposition mechanisms into blue carbon models for predicting soil organic carbon stores. These findings were generated as part of a 2017-2020 collaborative research project.