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Found 218 dataset(s) matching "everglades".
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The Everglades Depth Estimation Network (EDEN) is an integrated network of water-level gages, interpolation models, web applications, and decision support tools that generates daily water-level...
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Fire in the Everglades National Park (ENP) has historically been influential in shaping the Everglades ecosystem. As a result, ENP has been documenting fire events since 1948, and these data have...
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This dataset contains morphometric and isotopic data for American alligators (Alligator mississippiensis) that were sampled from within four freshwater (FW) wetlands and one estuarine (EST)...
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The Everglades Vulnerability Analysis (EVA) is a series of connected, modular Bayesian networks that predict the response of several Everglades indicators of ecosystem health to changes in...
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The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem health to changes in hydrology...
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Operational ecological forecasting is an emerging field that leverages ecological models in a new, cross-disciplinary way, using a real-time or nearly real-time climate forecast to project...
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Data Release from the High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2018. Data were obtained from field sites located in the Everglades between two canals...
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The Biscayne and Southern Everglades Coastal Transport(BISECT) model combines a three-dimensional groundwater model with a two- dimensional hydrodynamic surface-water model with variable-density...
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The Everglades Depth Estimation Network (EDEN) produces daily depth estimates for the Greater Everglades. This data release includes geospatial data to produce depth estimates for the EDEN from...
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Airborne electromagnetic (AEM) and magnetic survey data, a total of 3065 line-kilometers, were collected during October 2001 in two survey blocks and four repeated lines from an earlier survey....
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The surface elevation table (SET)-marker horizon (MH) approach (SET-MH, together) is a method for quantifying surface elevation change through measurements of surface and subsurface processes that...
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Timeseries data from 'FL Everglades City 5 NE' (ncei-uscrn-fl_everglades_city_5_)
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Flow and transport of sediment and phosphorus through the low-gradient wetlands of the Everglades, FL were characterized using hydrologic, biological, geomorphic, and biogeochemical data as inputs...
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This dataset contains four comma-delimited files collected to evaluate the utility of GPS biologging tags for studying the spatial ecology of large constricting snakes. The first file contains the...
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Environmental DNA water samples were collected in the Greater Everglades Ecosystem between May 20-22, 2019 and analyzed to estimate Burmese python (Python bivittatus) occurrence. Twenty-eight...
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Due to their position at the land-sea interface, coastal wetlands are sensitive to sea-level rise and many other aspects of global change. Small changes in coastal wetland surface elevation can...
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Data were collected between 2010 and 2022 in a research area of the Everglades known as the Decompartmentalization Physical Model (DPM), a wetland area in the central Everglades that includes...
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Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. The models of particular interest to the South Florida Water...
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The U.S. Geological Survey (USGS) conducts baseline and storm-response photography missions to document and understand the changes in the vulnerability of the Nation's coasts to extreme storms. On...
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Burmese Pythons are an invasive reptilian species that has spread throughout southern Florida. Mercury (Hg) concentration in python tail muscles were examined across the Great Everglades region in...
