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Location Folder Show Tree ROOT _ScienceBase Catalog 3DSC Alaska Science Center (ASC) Alkalic Igneous Centers of the Great Plains and Rocky Mountains: Data in Support of Critical Mineral Resource Studies AMMonitor: Remote wildlife monitoring for adaptive management Amphibian Research and Monitoring Initiative More... Filters Date Types (for Date Range) Extensions ArcGIS Service Definition (2) Shapefile (2) Types Citation (3) ArcGIS REST Map Service (2) ArcGIS Service Definition (2) Downloadable (2) Map Service (2) More... Contacts Cynthia D Miller-Corbett National Geospatial Technical Operations Center Core Science Systems Jeffrey Simley U.S. Geological Survey Northwest CASC U.S. Geological Survey Categories Publication (3) Data (2) Data Release - In Progress (2) Tag Types Theme (2) Place (1) Tag Schemes None (2) View Results as: JSON ATOM CSV Browse Folder

Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Gulf of Mexico National Hydrography Dataset Coastline Coastal Mean High Water (MHW) is contoured in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore water bodies. In the National Geospatial Program (NGP), surface water hydrography is maintained in the National Hydrography Dataset (NHD) Flowline Network projects Mean High Water level (MHW) as the linear-referenced 1:24,000-scale resolution NHD Coastline (http://nhd.usgs.gov/). NHDCoastline Geomorphology and associated Risk line-event feature classes that rank the relative risk of horizontal erosion on a scale of 1 to 5 (least to most risk, respectively) have been developed using the Hydrography... Categories: Data, Data Release - In Progress, Publication; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Geomorphology, Gulf, Gulf of Mexico, HEM, Hydro linked data, All tags... Hydrologically linked data, Linear-referenced, Mean High Water, NHD, National Hydrography Dataset, Risk, barrier coast, conterminous US, estuary, intertidal, line-event, Fewer tags Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Pacific Ocean National Hydrography Dataset Coastline Coastal Mean High Water (MHW) is contoured in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore water bodies. In the National Geospatial Program (NGP), surface water hydrography is maintained in the National Hydrography Dataset (NHD) Flowline Network projects Mean High Water level (MHW) as the linear-referenced 1:24,000-scale resolution NHD Coastline (http://nhd.usgs.gov/). NHDCoastline Geomorphology and associated Risk line-event feature classes that rank the relative risk of horizontal erosion on a scale of 1 to 5 (least to most risk, respectively) have been developed using the Hydrography... Categories: Data, Data Release - In Progress, Publication; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Geomorphology, HEM, Hydro linked data, Hydrographically linked data, All tags... Hydrologically linked data, Line event, Linear-referenced, Mean High Water, NHD, National Hydrography Dataset, Oregon, Pacific, Puget Sound, Risk, Strait of Juan de Fuca, Washington, barrier coast, coast, conterminous US, estuary, intertidal, line-event, Fewer tags Northwest CASC Cycle 1 Report (2017-2023) The Northwest Climate Adaptation Science Center (NW CASC) delivers science to help fish, wildlife, water, land and people adapt to a changing climate. The Center combines academic expertise with federal resources to advance climate science development and delivery for managers and policy makers across Washington, Oregon, Idaho and Western Montana. The University of Washington became the host of the NW CASC in August 2017, leading a consortium including Boise State University, University of Montana, Washington State University and Western Washington University. In Year 3 of its first funding cycle, the NW CASC expanded to bring on Oregon State University as its sixth consortium institution. The NW CASC Consortium... Categories: Publication; Types: Citation