This spreadsheet is a useful tool for maintaining various types of green infrastructure, including permeable pavement, green roofs, and rainwater harvesting systems.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This document provides guidance to those wishing to use the Climate Change Vulnerability Assessment Tool for Coastal Habitats ("CCVATCH") - a decision support tool which guides users through a series of questions to calculate numerical climate vulnerability scores for ecological habitats.
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This tool is a novel approach to compare the resilience of different marshes to sea level rise.
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This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.
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This tool contains all the materials needed to organize role playing simulations to help communities explore options for addressing coastal flooding in the southeast.
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This manual was developed as part of the Hudson River Sustainable Shorelines Project and describes simple, low-cost, representative methods for evaluating the function and integrity of ecologically enhanced shoreline projects.
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This tool, developed for the 2011 Hudson River Sustainable Shorelines project, can be used to provide a rough quantification of site attributes known to affect biota and ecological processes in the shore zone.
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This model was developed by the Hudson River Sustainable Shorelines project team and can be used to understand the energy regimes impacting shorelines and to help identify suitable shoreline stabilization alternatives for sites along the Hudson River.
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This dataset is a compilation of observed ice data statistics from United States Coast Guard daily ice reports along the tidal Hudson River during ice season and it includes linked aerial photographs as well as complete record data charts for river stretches and choke points.
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This geodatabase contains a shoreline inventory for the tidal Hudson River shoreline from the Tappan Zee Bridge north to Troy, New York.