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Resources

Resources

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

Displaying 21 - 30 of 82
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.

Factsheet |

This factsheet describes the process of environmental DNA (eDNA) water sampling in estuarine systems, and provides specific methdology recommendations to facilitate detection of invasive species.

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.

Journal Article |

This article, published in Stormwater Magazine in September 2020, describes how an expert panel process helped develop performance curves to assign regulatory credit for restored or constructed buffers as water quality best management practices.

Journal Article |

This journal article summarizes results from an experimental living shoreline installation at GTM Reserve in northeast Florida and reveals who how well the installations dampened boat wakes.

Journal Article |

This article published in Ecological Engineering summarizes findings from a project that installed a series of experimental living shorelines on a particularly high energy shoreline in GTM Reserve, Florida.

Report |

This guidance report from New York State ’s Department of Environmental Conservation and Department of State provides an overview of natural resilience measures and how they can reduce risk of flooding and erosion.

Journal Article |

This article, which appeared in Journal of Coastal Research in 2020, discusses the creation and field performance testing of a low-cost do-it-yourself (DIY) wave gauge.

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.