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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 Range Past year (5) Past month (3) Past week (0) Past day (0) Custom range... To   Search Extensions ArcGIS Service Definition (3) Budget (1) Project (1) Types ArcGIS REST Map Service (3) ArcGIS Service Definition (3) Downloadable (3) Map Service (3) Contacts U.S. Geological Survey, Woods Hole Field Center North Atlantic Landscape Conservation Cooperative Sawyer Stippa Texas A&M University Corpus Christi, Harte Research Institute Jordan Read More... Categories Project (1) Tag Types Theme (5) Place (5) Water, Coasts and Ice (3) Label (4) Science Themes (3) Category (1) Harvest Set (2) More... Tag Schemes None (5) ISO 19115 Topic Category (3) https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (3) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (4) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (3) ISO 19115 Topic Categories (1) https://www.sciencebase.gov/vocab/category/LCC/Deliverable (1) More... View Results as: JSON ATOM CSV Browse Folder

Wave Height Data for the Gulf of Mexico The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Beach, Beach Erosion, Coastal Geomorphology, Coastal Hazards, All tags... Coastal processes, Erosion, Florida, Gulf Coast, Gulf of Mexico, Gulf of Mexico, Hazards, Louisiana, Misissippi, Sea-Level, Sea-Level Rise, Shoreline, Shoreline Change, Slope, Texas, Tide Range, Wave Height, inundation, sea level rise, sea level trends, tides, waves, wind, Fewer tags Probability of Predicted Elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Atlantic City, Atlantic Ocean, Bayesian network, Boston, CMGP, All tags... Chesapeake Bay, Coastal and Marine Geology Program, Connecticut, Delaware, Esri binary grid, Gridded Raster Dataset, Jersey Shore, Long Island, Maine, Maryland, Massachusetts, New England, New Hampshire, New Jersey, New York, Norfolk, North America, Northeast CASC, Ocean City, Sea-Level Rise and Coasts, U.S. Geological Survey, USGS, United States, Virginia, WHCMSC, Water, Coasts and Ice, Wetlands, Woods Hole Coastal and Marine Science Center, biota, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, landscape change, oceans, probabilistic predictions, sea-level rise, Fewer tags Tidal Range Data for the Gulf of Mexico The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Beach, Beach Erosion, Coastal Geomorphology, Coastal Hazards, All tags... Coastal processes, Erosion, Florida, Gulf Coast, Gulf of Mexico, Gulf of Mexico, Hazards, Louisiana, Misissippi, Sea-Level, Sea-Level Rise, Shoreline, Shoreline Change, Slope, Texas, Tide Range, Wave Height, inundation, sea level rise, sea level trends, tides, waves, wind, Fewer tags National Assessment of Coastal Vulnerability to Sea-Level Rise in the Gulf of Mexico The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama (AL), Beach, Beach Erosion, Coastal Geomorphology, Coastal Hazards, All tags... Erosion, Florida (FL), Gulf Coast, Gulf of Mexico, Gulf of Mexico, Hazards, Louisiana (LA), Mississippi (MS), Sea-Level, Sea-Level Rise, Shoreline, Shoreline Change, Slope, Texas (TX), Tide Range, Wave Height, coastal hazard, hurricane impact, nourishment, sediments, shoreline, shoreline change, Fewer tags Predicted Elevation predicted elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Atlantic City, Atlantic Ocean, Bayesian network, Boston, CMGP, All tags... Chesapeake Bay, Coastal and Marine Geology Program, Connecticut, Delaware, Esri binary grid, Gridded Raster Dataset, Jersey Shore, Long Island, Maine, Maryland, Massachusetts, New England, New Hampshire, New Jersey, New York, Norfolk, North America, Northeast CASC, Ocean City, Sea-Level Rise and Coasts, U.S. Geological Survey, USGS, United States, Virginia, WHCMSC, Water, Coasts and Ice, Wetlands, Woods Hole Coastal and Marine Science Center, biota, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, landscape change, oceans, probabilistic predictions, sea-level rise, Fewer tags iPlover smartphone application Designed by scientists to simplify consistent data collection and management, the iPlover smartphone application gives trained resource managers an easy-to-use platform where they can collect and share data about coastal habitat utilization across a diverse community of field technicians, scientists, and managers. With the click of a button, users can contribute biological and geomorphological data to regional models designed to forecast the habitat outlook for piping plover, and other species that depend upon sandy beach habitat.iPlover app is available for iPhones and Androids on the USGS Mobile Application Directory. The app is free, but users must ask for and receive an approved login to use it. Training is... Categories: Data; Tags: Application, Atlantic Coast, Coastal Geomorphology, LCC Network Science Catalog, Piping Plover, All tags... beach-dependent wildlife, beaches, coastal ecosystems, completed, sea-level rise, shorebirds, Fewer tags Piping Plover Habitat Suitability in a Changing Climate: Science Aided by Smartphones to Understand Habitat Preferences and Future Habitat Availability This multi-faceted project aims to assess nesting habitat for the Federally-listed piping plover (Charadrius melodus) and other beach-dwelling species on Atlantic coastal beaches and to forecast future habitat under accelerating sea level rise. This project engages a broad community of stakeholders along 1500 km of the U.S. Atlantic breeding range from North Carolina to Maine to address a shared problem in species and landscape management and increases collaboration and collective ‘ownership’ of the problem. The project can be divided into three parts: 1) Application development. Using agile software development approaches, a smartphone application called iPlover was conceived, developed and deployed in just a few... Categories: Data, Project; Tags: 2014, Applications and Tools, Conservation Planning, Federal resource managers, Hurricane Sandy, All tags... LCC, LCC Network Science Catalog, NALCC, North Atlantic Landscape Conservation Cooperative, Project, USFWS SA R5 Project, environment, environment, onGoing, Fewer tags Coastal Response Type Probabilities with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Northeast CASC, Powder River, Sea-Level Rise and Coasts, Water, Coasts and Ice, Wetlands, All tags... cross-channel profiles, southeastern montana, Fewer tags