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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 - 9 of 9
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About the project

As climate change and development threaten the natural and cultural resources of the Guana Peninsula, this 2021 collaborative research project used a combination of archaeological investigations and applied anthropological methods to increase understanding of how people

Data |

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

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This dataset comprises the data collected and produced as part of the 2016 research project Investigating the Interconnectedness of Climate Change, Nuisance Mosquitoes, and Resilience of Coastal Salt Marsh Systems.

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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.

Collections |
This collection features climate resilience and adaptation work completed by project teams from 2015-2018. The collection includes a detailed management brief narrative, an infographic showing how the interconnected nature of the NERRS facilitates collective learning and accelerated action, and a webinar recording from a panel discussion on September 9, 2019.
Collections |
This collection features living shorelines work completed by project teams from 2015-2019. The collection includes a detailed management brief narrative, an infographic showing different shoreline stabilization strategies and how they vary across locations in order to suit the conditions present, and a webinar recording from a panel discussion on April 11, 2019.
Data |

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