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Resources

Resources

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

Displaying 1 - 10 of 33
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 links to five datasets generated by a collaborative research project that measured nitrogen removal from oyster aquaculture using complement biogeochemistry and genetic methods.

Data |

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

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.

Project Overview |

This project overview describes a 2018 Catalyst project led by Grand Bay Reserve that developed standardized tools to quality-check, analyze, and visualize Surface Elevation Table data.

Data |

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.

Data |

These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.

Data |
About this Project

Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.

Project Overview |

This project overview describes a 2015 Collaborative Research project where Waquoit Bay Reserve is working with end users to test the applicability of a previously-developed model to accurately predict greenhouse gas fluxes across a wide range of coastal wetlands.

Data |

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.