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Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced...
Search relevance: 1.00 | Views last month: 22 | Catalog Last Checked: May 05, 2026 at 08:57 PM -
The Waterway Locks dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation...
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These datasets represent a revised national scale estimate of wetland soil carbon stock assessments by improving representation of soil organic carbon densities. This assessment is based on a...
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Inland fishes provide important ecosystem services to communities worldwide and are especially vulnerable to the impacts of climate change. Fish respond to climate change in diverse and nuanced...
Search relevance: 1.00 | Views last month: 4 | Catalog Last Checked: May 05, 2026 at 08:07 PM -
The Navigation Facilities dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation...
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Inland recreational fisheries, found in lakes, rivers, and other landlocked waters, are important to livelihoods, nutrition, leisure, and other societal ecosystem services worldwide. Although...
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The State of Connecticut defines inland wetlands based on soils. The Connecticut Inland Wetlands and Watercourses Act defines wetland soils to include any of the soil types designated as poorly...
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The National Waterway Network Nodes dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of...
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The Dams dataset is a representation of the National Inventory of Dams (NID), maintained and published by the U.S. Army Corps of Engineers, in cooperation with the Association of State Dam Safety...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: May 14, 2026 at 09:56 PM
