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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 - 10 of 13
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Datasets of Drone-based Imagery to Enhance Emergent Vegetation Biomonitoring
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 |
Dataset: Water Quality Measurements for Stormwater Outfalls into Taylor’s Creek, Beaufort NC

This resource includes two related databases that include a range of water quality parameters measured at stormwater outfalls in Beaufort, NC.

Data |
Model Input and Output Data used to Assess the Storm Buffering Capacity of Piermont Marsh, NY

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.

Data |
Data from an Ecosystem Services Assessment of Shellfish Aquaculture in North Carolina

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.

Data |
Environmental DNA Sequences and Extractions from Six 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.

Data |
Thin-Layer Sediment Placement in Coastal Marshes Monitoring and Experimental 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 |
Datasets and Modeling: Analysis of Surge Barrier Effects on the Hudson River Estuary

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.

Data |
Field Observations and Model Simulations for the Dams and Sediment in the Hudson Project

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).

Data |
Ecological and physical performance measures of four built sustainable shorelines along the Hudson River, New York

This dataset includes a suite of measures of ecological and physical functions of built sustainable shoreline structures at a set of demonstration sites along the Hudson River.

Data |
SWMP Time Series Data Analysis Code

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