The ability to quickly communicate local environmental changes in the aftermath of hurricanes helps impacted communities better understand storm events and support recovery.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
Displaying 1 - 10 of 20See Keywords and Reserves
This data resource includes marsh vegetation, water level data and modeling outputs from a project that examined how Piermont Marsh in New York buffers the impacts of storms.
See Keywords and Reserves
This dataset contains processed Surface Elevation Table data from five reserves along with metadata, R scripts, reports, and figures, illustrating how SET can be processed, analyzed and visualized.
See Keywords and Reserves
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.
See Keywords and Reserves
This curriculum was developed as part of a 2018 Science Transfer project to share knowledge and lessons learned about managing conflict in collaborative science.
See Keywords and Reserves
These datasets and statistical analysis codes model surge barrier effects on the Hudson River estuary, developed as part of the 2018 catalyst project Assessing the Physical Effects of Storm Surge Barriers on the Harbor and Hudson River Estuary.
See Keywords and Reserves
These datasets contain sediment core samples from dam impoundments on tributaries to the Hudson River and tidal wetland complexes in the Hudson River estuary, collected as part of the 2016-2020 collaborative research project Dams and Sediment on the Hudson (DaSH).
See Keywords and Reserves
This dam sediment estimation tool, developed through the Dams and Sediment in the Hudson (DaSH) project, supports dam removal planning for the Lower Hudson River valley.
See Keywords and Reserves
A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.
See Keywords and Reserves
These coastal hazard risk communication training process agendas can be used to as a model help facilitators develop trainings for coastal decision makers in other communities.