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Temperature (Maximum: July) - 2020-2050 - RCP4.5 - Max Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Temperature (Mean: Dec - Mar) - 2070-2100 - RCP4.5 - Mean Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Temperature (Mean: Dec - Mar) - 2070-2100 - RCP8.5 - Mean Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Temperature (Mean: July - Sep) - 1980-2010 Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Precipitation (Proportion May - Oct) - 2020-2050 - RCP4.5 - Mean Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Precipitation (Proportion May - Oct) - 2020-2050 - RCP8.5 - Mean Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Precipitation (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Mean Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Mean Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term... Categories: Data; Types: Citation, Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, CRS, California, Climate, Colorado, All tags... Greater Sage-Grouse, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Precipitation, Resilience, Resistance, Sagebrush, Science Framework, ScienceFramework, South Dakota, Temperature, USDA, USFS, USGS, Utah, Washington, Western States, Wyoming, environment, geoscientificInformation, Fewer tags Multibeam echo sounder - GeoTIFF grids for processed Reson 7160 seafloor bathymetry data collected during USGS field activities 2017-001-FA and 2017-002-FA In spring and summer 2017, the U.S. Geological Survey’s Gas Hydrates Project conducted two cruises aboard the research vessel Hugh R. Sharp to explore the geology, chemistry, ecology, physics, and oceanography of sea-floor methane seeps and water column gas plumes on the northern U.S. Atlantic margin between the Baltimore and Keller Canyons. Split-beam and multibeam echo sounders and a chirp subbottom profiler were deployed during the cruises to map water column backscatter, sea-floor bathymetry and backscatter, and subsurface stratigraphy associated with known and undiscovered sea-floor methane seeps. The first cruise, known as the Interagency Mission for Methane Research on Seafloor Seeps and designated as field... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: 7160, Accomac Canyon, Atlantic Margin, Atlantic Ocean, CMHRP, All tags... Chincoteague Ridge, Coastal and Marine Hazards and Resources Program, DOE, DOI, Department of Energy, Department of the Interior, GeoTIFF, HRS1704, HRS1713, HYPACK HYSWEEP HSX and 7K formats, IMMeRSS, Interagency Mission for Methane Research on Seafloor Seeps, Keller Canyon, NOAA-OER, Norfolk Canyon, R/V Hugh R. Sharp, Reson, Reson s7k format, U.S. Geological Survey, USGS, United States of America, University of Rochester, WHCMSC, Washington Canyon, Woods Hole Coastal and Marine Science Center, bathymetry, elevation, field activity number 2017-001-FA, field activity number 2017-002-FA, geoscientificInformation, imageryBaseMapsEarthCover, marine geology, marine geophysics, multibeam bathymetry, multibeam echo sounder, multibeam sonar, oceans, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Assawoman Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Assawoman Island, Assawoman Island, Atlantic Ocean, Barrier Island, Bayesian Network, All tags... CMHRP, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Wallops Island, Wallops Island, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Cobb Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Charadrius melodus, All tags... Coastal Habitat, Coastal and Marine Geology Program, Cobb Island, Cobb Island, Delmarva Peninsula, Foraging Ecology, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Piping Plovers, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fisherman Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, Fisherman Island, Fisherman Island, Fisherman Island National Wildlife Refuge, Fisherman Island National Wildlife Refuge, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Ship Shoal Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Charadrius melodus, All tags... Coastal Habitat, Coastal and Marine Geology Program, Delmarva Peninsula, Foraging Ecology, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Piping Plovers, Ship Shoal Island, Ship Shoal Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags DisOcean: Distance to the ocean: Assawoman Island, VA, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Assawoman Island, Assawoman Island, Atlantic Ocean, CMHRP, Coastal Habitat, All tags... Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, GIS, Geographic Information Systems, MHW, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Wallops Island, Wallops Island, Woods Hole Coastal and Marine Science Center, barrier island, environment, geomorphology, geospatial analysis, geospatial datasets, oceans, Fewer tags SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Cedar Island, VA, 2013–2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Barrier Island, CMGP, Cedar Island, Cedar Island, All tags... Coastal Habitat, Coastal and Marine Geology Program, Delmarva Peninsula, GIS, Geographic Information Systems, MHW, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geospatial analysis, geospatial datasets, hazards, image analysis, oceans, scientific interpretation, sea-level change, study areas, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2013–2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado An ESRI TIN data model of the overburden material above the Mahogany bed was needed to perform calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment. Categories: Data, pre-SM502.8; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: CO, Colorado, Earth science, Economic geology, Energy resources, All tags... Eocene Green River Formation, Geology, Mahogany, Mahogany bed, Natural resources, Oil, Oil shale, Oil shale resources, Overburden, Resource assessment, Structure, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), UT, Uinta Basin, United States, Utah, geoscientificInformation, oilshale, uintaoilshale, Fewer tags Raster Dataset Model of the Mahogany Bed Structure in the Uinta Basin, Utah and Colorado An ESRI GRID raster data model of the Mahogany bed structure was needed to perform overburden calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment. Categories: Data, pre-SM502.8; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: CO, Colorado, Earth science, Economic geology, Energy resources, All tags... Eocene Green River Formation, Geology, Mahogany, Mahogany bed, Natural resources, Oil, Oil shale, Oil shale resources, Overburden, Resource assessment, Structure, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), UT, Uinta Basin, United States, Utah, geoscientificInformation, oilshale, uintaoilshale, Fewer tags Backscatter [SWATH]--Offshore Santa Cruz, California This part of DS 781 presents data for the acoustic-backscatter map of Offshore of Santa Cruz map area, California. Backscatter data are provided as a raster file included in "Backscatter_Swath_OffshoreSantaCruz.zip," which is accessible from https://doi.org/10.5066/F7TM785G. These data accompany the pamphlet and map sheets of Cochrane, G.R., Dartnell, P., Johnson, S.Y., Erdey, M.D., Golden, N.E., Greene, H.G., Dieter, B.E., Hartwell, S.R., Ritchie, A.C., Finlayson, D.P., Endris, C.A., Watt, J.T., Davenport, C.W., Sliter, R.W., Maier, K.L., and Krigsman, L.M. (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Santa Cruz, California: U.S. Geological Survey Open-File Report... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Acoustic Reflectivity, Backscatter, Bathymetry, CMHRP, Coastal and Marine Hazards and Resources Program, All tags... Continental/Island Shelf, Geology, Intensity, Marine Nearshore Subtidal, Marine Offshore Subtidal, Northern California Ecoregion, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Rock Substrate, Santa Cruz, Santa Cruz County, State of California, Transform Continental Margin, U.S. Geological Survey, USGS, USGS:5567b7c4e4b0d9246a9f46b9, Unconsolidated Mineral Substrate, distributions, ecosystems, environment, geoscientificInformation, image mosaics, imageryBaseMapsEarthCover, marine geophysics, marine geophysics, multibeam sonar, oceans, physical habitats and geomorphology, sea-floor acoustic reflectivity, sea-floor characteristics, seabed, sidescan sonar, sidescan sonar, sonar methods, Fewer tags BathymetryA [USGS]--Offshore Aptos, California This part of DS 781 presents data for the bathymetry map of Offshore of Aptos map area, California. Bathymetry data are provided as two separate grids depending on mapping agency and processing method. This metadata file refers to the data included in "BathymetryA_USGS_OffshoreAptos.zip" which are accessible from https://doi.org/10.5066/F7K35RQB. These data accompany the pamphlet and map sheets of Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D, Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, r.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M., (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Aptos, CMHRP, Coastal and Marine Hazards and Resources Program, Continental/Island Shelf, Fisheries, All tags... Marine Nearshore Subtidal, Marine Offshore Subtidal, Northern California Ecoregion, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Rock Substrate, Santa Cruz County, Seafloor Topography, State of California, Transform Continental Margin, U.S. Geological Survey, USGS, Unconsolidated Mineral Substrate, bathymetry, bathymetry and elevation, bathymetry measurement, distributions, environment, geoscientificInformation, imageryBaseMapsEarthCover, marine geophysics, marine geophysics, oceans, seabed, sidescan sonar, sonar methods, Fewer tags « 1 ... 3 4 5 6 7 ... 24 »