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Resources

Resources

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

Displaying 11 - 20 of 135
Project Overview |

This project overview describes a 2018 Catalyst project that conducted a collaborative, scientific modeling investigation to improve oyster population sustainability and management on Florida's Atlantic coast.

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.

Data |

This resource includes two related databases that include a range of water quality parameters measured at stormwater outfalls in Beaufort, NC.

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.

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.

Data |

These marsh sustainability and hydrology datasets were collected as part of a 2017 collaborative research project.

Website |

This website, developed as part of a 2017 collaborative research project, describes the Marsh Sustainability and Hydrology project in detail and provides access to the MSH decision support tool.

Data |

This dataset comprises the data collected and produced as part of the 2016 research project Investigating the Interconnectedness of Climate Change, Nuisance Mosquitoes, and Resilience of Coastal Salt Marsh Systems.

Data |

This data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.

Project Overview |

This project overview describes a 2017 Collaborative Research project that is piloting and refining DNA-based monitoring protocols that can be applied to specific issues and species of interest in estuarine ecosystems.