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.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This series of field and classroom-based experiments allows middle school students explore the problem of microplastics.
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This lesson plan will introduce high school AP Environmental Science students to the concepts of sunscreen runoff and the implications it can have on nature. Students will apply sunscreen water to classroom plants and then draw conclusions about the ecological impactshttps://sciren.org/.
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This curriculum resource book, developed by Duke University Maine Lab, describes a series of water quality activities for high school classes, including background material and worksheet handouts.
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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 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.
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This factsheet describes the process of environmental DNA (eDNA) water sampling in estuarine systems, and provides specific methdology recommendations to facilitate detection of invasive species.
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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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This factsheet summarizes the results of a project that studied small-scale changes around oyster farms and assessed larger-scale ecosystem-level alterations to provide a local assessment of ecosystem services of shellfish aquaculture.
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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.