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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 15
Case Study |
GUIDE CASE STUDY: Collaborative science projects are designed to inform and catalyze action, but often those impacts do not develop until after a grant ends. Two project teams working with New England reserves found different ways to support the work of their partners after their grants ended.
Case Study |
GUIDE CASE STUDY: Collaboration with diverse team members and stakeholders can sometimes result in disagreements or contention, as was the experience of the New England Climate Adaptation Project, a regional initiative involving the four New England reserves.
Case Study |
GUIDE CASE STUDY: To be effective, collaborative project teams must include the right skill sets, but it’s also important to include team members who have established relationships with or access to your project’s intended users.
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.

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.

Case Study |

These four case studies give examples of four best practices for conflict management in collaborative science. They were developed as part of the Resilience Dialogues project to share lessons learned about effective collaboration from within the National Estuarine Research Reserve System.

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.

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.