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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 - 8 of 8
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.

Data |
About this Project

Thin-layer placement (TLP) is an emergent climate adaptation strategy that mimics natural deposition processes in tidal marshes by adding a small amount of sediment on top of marsh in order to maintain elevation relative to sea level rise.

Data |

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.

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.

K-12 |

This collection of K-12 lesson plans, compiled by the Native Olympia Oyster Collaborative, features science, math, engineering, writing, art, and multidisciplinary lessons that invite students to explore various aspects of West coast native oysters.

Data |

The Communities, Lands & Waterways Data Source is an encyclopedic compilation of all available data describing the socioeconomic and environmental conditions in the Coos Bay area.

K-12 |

https://coast.noaa.gov/estuaries/curriculum/dont-shut-your-mouth.htmlThis lesson encourages students to make evidence-based conclusions about the impacts of development, pollution, and climate on the Los Penasquitos Lagoon in southern California.

K-12 |

This art collection is the result of work by 3rd-6th graders and stemmed from a climate resilience workshop hosted by the Tijuana River and Kachemak Bay Reserves as part of a 2015 Science Transfer project