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Resources

Resources

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

Displaying 61 - 70 of 183
Factsheet |

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project.

Factsheet |

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project related to sediment trapped behind dams and sediment supply in the Hudson River estuary

Factsheet |

This factsheet summarizes findings from the Dams and Sediment in the Hudson collaborative research project related to tidal wetlands in the Hudson River estuary.

Report |

This needs assessment of conservation policy stakeholders in the Pacific Northwest identified data needs and barriers for potential blue carbon project partners.

Report |

This report provides foundational science and social context to inform the development of adaptation options for a low-lying road in China Camp State Park, along San Francisco Bay, CA.

Tool |

This stakeholder engagement plan outlines an approach to strengthen stakeholder networks and advance blue carbon conversations in the Kenai Lowlands, Alaska.

Report |

This summary report discusses key points from focus groups with Kachemak Bay, Alaska fishery industry businesses and stakeholders, conducted as part of a project to provide tools to promote coastal resilience.

Tool |

This focus group template is part of a training and facilitation toolkit, developed to help coastal leaders use the Alaska Fisheries Resilience Index to promote coastal resilience.

Report |

This national synthesis report analyzes SET data from 15 National Estuarine Research Reserves across the continental United States, summarizing wetland water level trends over a 19-year period.

Tool |

A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.