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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 - 19 of 19
Multimedia |

Project Lead Brandon Puckett (North Carolina National Estuarine Research Reserve) gives an introduction to "Bridging the Gap between Quadrats and Satellites: Assessing Utility of Drone-based Imagery to Enhance Emergent Vegetation Biomonitoring," aka "Drone the SWMP," a catalyst project funded in

Data |
About the project

The 2020-2022 catalyst project  Bridging the gap between quadrats and satellites: assessing utility of drone-based imagery to enhance emergent vegetation biomonitoring conducted a regionally coordinated effort, working in salt marshes an

Data |
About this project

The 2020-2021 catalyst project Refining Techniques for High-Frequency Monitoring of Chlorophyll in the NERRS brought together twelve biogeochemically diverse reserves to compare results from new YSI in situ sensor technology with ex

Multimedia |
Poster presented at the November 2020 NERRS Annual Meeting - Silas Tanner Poster presented at the February 2021 GTMNERR State of the Reserve Sympos
Multimedia |

Project Lead Nikki Dix (Guana Tolomato Matanzas National Estuarine Research Reserve) gives a 5-minute introduction to "Refining Techniques for High-frequency Monitoring of Chlorophyll Alpha in the NERRS," a catalyst project funded in 2020 by the NERRS Science Collaborative.

Multimedia |

This instructional and informational webinar features background information on the 2020 science transfer Storm Stories project, how end-user feedback was incorporated, the tools and products that have been developed through the project, and how reserves can access resources.

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.

Multimedia |

In these two February 2020 webinars, project lead Kim Cressman and her team provide an introduction to newly developed tools for analyzing and communicating about Surface Elevation Table (SET) data.

Data |

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