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Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the southern coast of North Carolina from Cape Lookout to Cape Fear (NCsouth) The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, Fewer tags Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the northern coast of North Carolina from the Virginia border to Cape Hatteras (NCnorth) The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, Fewer tags VA Bias_Feature – Feature class containing Virginia proxy-datum bias information to be used in the Digital Shoreline Analysis System. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, CSC, Coastal Services Center, Coastal and Marine Geology Program, All tags... DSAS, Digital Shoreline Analysis System, Endpoint Rate, Linear Regression Rate, NOAA, National Oceanic and Atmospheric Administration, PDB, Shoreline Change Rate, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line offsets, high water line uncertainty, lidar uncertainty, oceans, proxy-datum bias, shoreline accretion, Fewer tags Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the central coast of North Carolina from Cape Hatteras to Cape Lookout (NCcentral) The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, Fewer tags SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, CSC, Coastal Services Center, Coastal and Marine Geology Program, All tags... Coastal and Marine Hazards and Resources Program, DSAS, Digital Shoreline Analysis System, NOAA, National Oceanic and Atmospheric Administration, PDB, South Carolina, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, oceans, proxy-datum bias, shoreline accretion, Fewer tags MA Bias Feature – Feature class containing Massachusetts proxy-datum bias information to be used in the Digital Shoreline Analysis System. The Digital Shoreline Analysis System (DSAS) is a freely available software application that works within the Environmental Systems Research Institute (ESRI) Geographic Information System (ArcGIS) software. DSAS computes rate-of-change statistics for a time series of shoreline vector data. Additionally, the DSAS application is useful for computing rates of change for any boundary-change problem that incorporates a clearly-identified feature position at discrete times, such as glacier limits, river banks, or land use/cover boundaries. The "bias feature" is a shapefile representation the proxy-datum bias (PDB) data previously published in tabular format (Himmelstoss and others 2010, Himmelstoss and others 2018). These... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Boston, Buzzard’s Bay, CMGP, CSC, All tags... Cape Cod Bay, Coastal Services Center, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Endpoint Rate, Linear Regression Rate, Martha’s Vineyard, Massachusetts, NOAA, Nantucket, National Oceanic and Atmospheric Administration, New England, North Shore, Outer Cape, PDB, Shoreline Change Rate, South Cape, South Shore, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, high water line offsets, high water line uncertainty, lidar uncertainty, oceans, proxy-datum bias, Fewer tags Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the western coast of North Carolina from Cape Fear to the South Carolina border (NCwest) The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMHRP, CSC, Coastal Services Center, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, HWL, MHW, NOAA, National Oceanic and Atmospheric Administration, North Carolina, PDB, U.S. Geological Survey, USGS, USGS National Shoreline Change Project, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geoscientificInformation, geospatial datasets, high water line, mean high water, oceans, proxy-datum bias, shoreline accretion, Fewer tags Understanding How Climate Change will Impact Aquatic Food Webs in the Great Lakes This project addressed regional climate change effects on aquatic food webs in the Great Lakes. We sought insights by examining Lake Erie as a representative system with a high level of anthropogenic impacts, strong nutrient gradients, seasonal hypoxia, and spatial overlap of cold- and cool-water fish guilds. In Lake Erie and in large embayments throughout the Great Lakes basin, this situation is a concern for fishery managers, as climate change may exacerbate hypoxia and reduce habitat volume for some species. We examined fish community composition, fine-scale distribution, prey availability, diets, and biochemical tracers for dominant fishes from study areas with medium-high nutrient levels (mesotrophic, Fairport... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Academics & scientific researchers, CSC, Climate Change, Conservation NGOs, All tags... Consevation design, Data Acquisition and Development, Data Management and Integration, Datasets/Database, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, FY 2012, Federal resource managers, Fish, Great Lakes, Hydroacoustics, LCC Network Science Catalog, Lake Erie, Northeast CSC, Northeast Climate Science Center, Policy makers & regulators, Project, Publication, Rivers, Streams and Lakes, State agencies, Tribes, Water and Ice, Wildlife and Plants, climate change impacts, completed, emerald shiner, environment, environment, fish populations, food web dynamics, hypoxia, light stable isotope analysis, rainbow smelt, round goby, white perch, yellow perch, Fewer tags