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Resources

Resources

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

Displaying 11 - 20 of 32
Tool |

Standardized protocols for sensor-based chlorophyll monitoring are now available for use by staff around the system to implement high frequency chlorophyll monitoring at their reserves.

Tool |

This tool provides an overview of acoustic monitoring in aquatic ecosystems, including sources of sound, metrics for measurement, data collection and analysis, and applications for habitat assessment, stewardship, and education.

Tool |

This guide is designed to be a resource for current and potential oyster growers that want to understand and maximize the water quality benefits of their aquaculture operations.

Data |

This resource includes two related databases that include a range of water quality parameters measured at stormwater outfalls in Beaufort, NC.

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 datasets are from an intensive field sampling in and adjacent to aquaculture operations in North Carolina, concentrating on wild shellfish resources and the physical and chemical environment, to assess ecosystem services and potential impacts of the oyster farms.

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.

Tool |

These resources from a stakeholder visit to the Stariski Creek Meadows headwaters in July 2019 were developed as part of a project to improve groundwater management on the Kenai Peninsula, Alaska.

Tool |

This geodatabase of groundwater on the Kenai Peninsula, Alaska, can be used as a foundation for decision-making to determine the locations of aquifers and predict groundwater discharge to streams.

Data |

These sediment and hydrodynamic data were collected as part of the 2016-2020 collaborative research project Improved Understanding of Sediment Dynamics for the Coos Estuary that produced a new bathymetric dataset for Coos Bay and a hydrodynamic model characterizing sediment distribution and circulation in the estuary.