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Resources

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

Displaying 31 - 40 of 47
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About this resource

Mangroves and other habitats in Rookery Bay National Estuarine Research Reserve have been changing as a result of chronic stressors and severe hurricanes in recent years.

Data |

The collaborative research project, Re-engineering Living Shorelines for High-Energy Coastal Environments, produced four datasets as part of their assessment of living shoreline installations at GTM Reserve in Florida.

Data |
About this resource

Degradation of coastal habitats has led to major declines in oyster reefs and coastal wetlands. Coastal restoration efforts are critical to restoring these habitats, but they often include little to no monitoring and evaluation of success.

Data |

Three related datasets were generated by the 2015 - 2019 collaborative research project Evaluating Living Shorelines to Inform Regulatory Decision-Making in South Carolina.

K-12 |

This document contains three lesson plans developed as part of a 2016 Collaborative Research project. The lesson plans help students explore the causes and impacts of stormwater discharges.

Data |

This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.

Data |

This geodatabase contains GIS layers that illustrate the distribution of existing wetlands and identify locations where restoration is likely to have the greatest positive environmental impact in Douglas County, WI.

Data |

The Communities, Lands & Waterways Data Source is an encyclopedic compilation of all available data describing the socioeconomic and environmental conditions in the Coos Bay area.

K-12 |

This high school STEM curriculum module, created as part of the project Bringing Wetlands to Market Phase 1: Nitrogen and Coastal Blue Carbon, examine the relationship between climate change impacts and carbon storage in New England salt marsh.

Data |

This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.