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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 30
Factsheet |
About the project

Many estuaries have been degraded by nitrogen pollution coming from urban and agricultural run-off, which can lead to algal blooms and eutrophication.

Factsheet |
About the project

A multi-Reserve study explored the feasibility of including high frequency, in situ chlorophyll a monitoring in the National Estuarine Research Reserve System-wide Monitoring Program (NERR SWMP).

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.

K-12 |

This series of field and classroom-based experiments allows middle school students explore the problem of microplastics.

K-12 |

This curriculum resource book, developed by Duke University Maine Lab, describes a series of water quality activities for high school classes, including background material and worksheet handouts.

Project Overview |

This project overview describes the Dams and Sediment in the Hudson collaborative research project that assessed how sediment released by dam removals would affect the Hudson River estuary and provide practical tools to regulators and practitioners.

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.

Project Overview |

This project overview describes a 2017 Collaborative Research project where Kachemak Bay Reserve staff and local partners are developing a conceptual model and geospatial layer that can be used to predict specific locations where groundwater discharge and recharge occur.