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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 |
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

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.

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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.

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These five related carbon storage, greenhouse gas flux and environmental variable datasets were generated by the Bringing Wetlands to Market research team and used to develop a coastal wetland greenhouse gas model for New England.

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These tidal wetland carbon stocks and environmental driver data were collected as part of the 2016-2019 collaborative research Pacific Northwest Carbon Stocks and Blue Carbon Database Project.

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