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Filters Date Range Past year (2) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (21) Raster (3) Types Map Service (22) OGC WFS Layer (22) Downloadable (21) Shapefile (21) GeoTIFF (3) Raster (3) OGC WMS Service (2) Contacts Sara L Zeigler U.S. Geological Survey - ScienceBase U.S. Geological Survey Kathryn M Weber Woods Hole Coastal and Marine Science Center More... Categories Data (22) pre-SM502.8 (4) Tag Types Place (22) Theme (22) Harvest Set (5) USGS Scientific Topic Keyword (1) Tag Schemes U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (6) None (12) none (8) USGS Oil and Gas Assessment Units (NOGA-2000) (4) USGS Thesaurus (15) Central Energy Resources Team Keyword Thesaurus (4) Augmented FIPS 10-4 and FIPS 6-4, version 1.0 (3) More... View Results as: JSON ATOM CSV

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, 2010 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 Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2010 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Armoring, Coastal Habitat, All tags... Coastal Hazards, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Human Development, Long Beach Island, Long Beach Island, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Edwin B. Forsythe NWR, NJ, 2012 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Hazards, Coastal and Marine Geology Program, All tags... Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Boundary The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Appalachian Basin Province is located in the eastern United States, encompassing all or parts of the counties in Alabama, Georgia, Kentucky, Maryland, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The main population centers within the study area are Birmingham, Alabama; Buffalo,... Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags... 50670301 = Lower Paleozoic Carbonates in Thrust Belt, 50670302 = Knox Unconformity, 50670303 = Black River-Trenton Hydrothermal Dolomite, 50670304 = Lockport Dolomite, 50670361 = Clinton-Medina Basin Center, 50670362 = Clinton-Medina Transitional Northeast, 50670363 = Clinton-Medina Transitional, 50670364 = Tuscarora Basin Center, 506704 = Devonian Shale-Middle and Upper Paleozoic, 50670401 = Oriskany Sandstone-Structural, 50670402 = Oriskany Sandstone-Stratigraphic, 50670403 = Greenbrier Limestone, 50670404 = Mississippian Sandstones, 50670461 = Greater Big Sandy, 50670462 = Northwestern Ohio Shale, 50670463 = Devonian Siltstone and Shale, 50670464 = Marcellus Shale, 50670465 = Catskill Sandstones and Siltstone, 50670466 = Berea Sandstone, 506705 = Carboniferous Coal-Bed Gas, 50670581 = Pocahontas Basin, 50670582 = East Dunkard (Folded), 50670583 = West Dunkard (Unfolded), 50670584 = Central Appalachian Shelf, 50670585 = Appalachain Anthracite and Semi-Anthracite, 506706 = Pottsville Coal-Bed Gas, 50670681 = Cahaba Basin, 67 = Appalachian Basin, AL, Appalachian Basin, Coalbed methane resources, Earth Science, Economic geology, Energy Resources, GA, Gas hydrate resources, Geology, KY, MD, Milici, Robert C., NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Petroleum, Province, Resource Assessment, Sedimentary Basin, TN, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, noga2000, nogaappalachian, oilgas, Fewer tags Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2012 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Armoring, Coastal Habitat, All tags... Coastal Hazards, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Human Development, Long Beach Island, Long Beach Island, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, 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 Predicting water temperature in the Delaware River Basin: 1 Waterbody information for 456 river reaches and 2 reservoirs This dataset provides one shapefile of polylines for the 456 river segments in this study, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: DE, Delaware, MD, Maryland, NJ, All tags... NY, New Jersey, New York, PA, Pennsylvania, US, United States, deep learning, environment, forecast, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, streams, temperature, water, water resources, Fewer tags Data to support water quality modeling efforts in the Delaware River Basin: 1) Spatial data for rivers, reservoirs, and monitoring locations This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section provides spatial data files that describe the rivers, reservoirs, and observational data in the Delaware River Basin included in this release. One shapefile of polylines describes the 459 river reaches that define the modeling network, and another shapefile of polygons includes the three reservoirs (Pepacton, Cannonsville, and Neversink) for which data are included in this release. Additionally, a point shapefile contains locations of monitoring sites... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: DE, Delaware, MD, Maryland, NJ, All tags... NY, New Jersey, New York, PA, Pennsylvania, US, United States, environment, inlandWaters, modeling, reservoirs, streams, temperature, water, water quality, water resources, Fewer tags shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Edwin B. Forsythe NWR, NJ, 2010 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, All tags... Edwin B. Forsythe NWR, Long Beach Island, Long Beach Island, NJ, New Jersey,, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, 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, 2012 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 Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates This dataset provides site locations as shapefile points. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, AK, AL, AR, All tags... Aerobic respiration, Alabama, Alaska, Arkansas, CA, CO, CT, California, Carbon, Carbon dioxide, Colorado, Connecticut, DC, DE, Delaware, Dissolved oxygen, District of Columbia, Energy metabolism, FL, Florida, GA, Gas exchange, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NJ, NM, NY, Nebraska, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, Oxygen, PA, PR, Pennsylvania, Photosynthesis, Primary production, Puerto Rico, Rivers, SC, SD, South Carolina, South Dakota, Streams, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, Water courses, West Virginia, Wisconsin, Wyoming, environment, inlandWaters, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Edwin B. Forsythe NWR, NJ, 2010 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Hazards, Coastal and Marine Geology Program, All tags... Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags National Assessment of Oil and Gas Project - East Coast Mesozoic Basins of the Piedmont, Blue Ridge Thrust Belt, Atlantic Coastal Plain, and New England Provinces Assessment Units The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic... Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 507001 Taylorsville Basin, 50700161 Taylorsville Basin, 507002 Richmond Basin, 50700261 Richmond Basin, 507003 Newark Basins, All tags... 50700361 South Newark Basin, 50700362 North Newark Basin, 507004 Deep River Basin, 50700461 Deep River Basin, 507005 South Georgia Basin, 50700561 South Georgia Basin, 507006 Hartford Basin, 50700661 Hartford Basin, 507007 Gettysburg Basin, 50700761 Gettysburg Basin, 507008 Delmarva Basins, 50700861 Delmarva Basins, 507009 Culpeper Basin, 50700961 Culpeper Basin, 507010 Dan River - Danville Basin, 50701061 Dan River - Danville Basin, 507011 Cumberland - Marlboro Basin, 50701161 Cumberland - Marlboro Basin, 507012 Florence Basin, 50701261 Florence Basin, 68 = Blue Ridge Thrust Belt, 69 = Piedmont Province, 70 = Atlantic Coastal Plain Province, 72 = New England Province, Assessment Unit, CT, Coalbed methane resources, DE, Earth Science, Economic geology, Energy Resources, GA, Gas hydrate resources, Geology, MD, ME, Milici, Robert C., NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, Oil, Oil sand resources, Oil shale resources, PA, Resource Assessment, SC, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, VA, geoscientificInformation, oilgas, Fewer tags Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when predicting stream temperature in the Delaware River Basin (DRB). Briefly, we modeled stream temperature in the DRB using two spatially and temporally aware process guided deep learning models (a recurrent graph convolution network - RGCN, and a temporal convolution graph model - Graph WaveNet). The associated manuscript explores how the architectural differences between the two models influence how they learn spatial and temporal relationships, and how those learned relationships influence a model's ability to accurately predict... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: DE, Delaware, Hydrology, MD, Maryland, All tags... NJ, NY, New Jersey, New York, PA, Pennsylvania, US, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, climate change, domain shift, environment, explainable AI (XAI), generalization, hybrid modeling, inlandWaters, machine learning, modeling, process guided deep learning, stream temperature, temperature, water, water resources, Fewer tags National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Total Petroleum Systems The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s). Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags... 50670301 = Lower Paleozoic Carbonates in Thrust Belt, 50670302 = Knox Unconformity, 50670303 = Black River-Trenton Hydrothermal Dolomite, 50670304 = Lockport Dolomite, 50670361 = Clinton-Medina Basin Center, 50670362 = Clinton-Medina Transitional Northeast, 50670363 = Clinton-Medina Transitional, 50670364 = Tuscarora Basin Center, 506704 = Devonian Shale-Middle and Upper Paleozoic, 50670401 = Oriskany Sandstone-Structural, 50670402 = Oriskany Sandstone-Stratigraphic, 50670403 = Greenbrier Limestone, 50670404 = Mississippian Sandstones, 50670461 = Greater Big Sandy, 50670462 = Northwestern Ohio Shale, 50670463 = Devonian Siltstone and Shale, 50670464 = Marcellus Shale, 50670465 = Catskill Sandstones and Siltstone, 50670466 = Berea Sandstone, 506705 = Carboniferous Coal-Bed Gas, 50670581 = Pocahontas Basin, 50670582 = East Dunkard (Folded), 50670583 = West Dunkard (Unfolded), 50670584 = Central Appalachian Shelf, 50670585 = Appalachain Anthracite and Semi-Anthracite, 506706 = Pottsville Coal-Bed Gas, 50670681 = Cahaba Basin, 67 = Appalachian Basin, AL, Appalachian Basin, Coalbed methane resources, Earth Science, Economic geology, Energy Resources, GA, Gas hydrate resources, Geology, KY, MD, Milici, Robert C., NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Resource Assessment, TN, Total Petroleum System, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, noga2000, nogaappalachian, oilgas, Fewer tags National Assessment of Oil and Gas Project Devonian Marcellus Shale of the Appalachian Basin Province (067) Assessment Units The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic... Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506704 = Devonain, Shale-Middle and Upper Paleozoic, 50670467 = Foldbelt Marcellus, 50670468 = Interior Marcellus, 50670469 = Western Margin Marcellus, 67 = Appalachian Basin, All tags... AL, Appalachian Basin, Assessment Unit, Earth Science, Economic geology, Energy Resources, GA, Geology, Higley, D., KY, MD, NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Resource Assessment, TN, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 4, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, noga2000, nogaappalachian, oilgas, Fewer tags Development: Development delineation: 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Armoring, Coastal Habitat, All tags... Coastal Hazards, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Human Development, Long Beach Island, Long Beach Island, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Edwin B. Forsythe NWR, NJ, 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, All tags... Edwin B. Forsythe NWR, Long Beach Island, Long Beach Island, NJ, New Jersey,, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Edwin B. Forsythe NWR, NJ, 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Hazards, Coastal and Marine Geology Program, All tags... Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags 1 Site Information: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin attributes is also supplied. Attributes, observations, and weather forcing data for these basins were used to train and test the stream temperature prediction models of Rahmani et al. (2021b).<\p> Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AL, AR, AZ, Alabama, Arizona, All tags... Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, GA, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags 1 2 »