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Filters Date Range Past year (4) Past month (1) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (38) Raster (7) Types Downloadable (41) Map Service (41) OGC WFS Layer (38) OGC WMS Layer (38) Shapefile (38) More... Contacts U.S. Geological Survey - ScienceBase Woods Hole Coastal and Marine Science Center Sara L Zeigler E. Robert Thieler Emily A. Himmelstoss More... Categories pre-SM502.8 (7) Tag Types Place (54) Theme (54) place (1) LCC End User Type (1) Harvest Set (9) theme (1) USGS Scientific Topic Keyword (1) More... Tag Schemes None (38) 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 (11) USGS Energy Program Petroleum Assessment Units (2) none (14) ISO 19115 Topic Category (44) USGS Oil and Gas Assessment Units (NOGA-2000) (5) USGS Thesaurus (14) More... View Results as: JSON ATOM CSV

Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, 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 Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for central North Carolina (NCcentral) Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Cape Hatteras, Cape Lookout, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, End Point Rate, Erosion, Green Island, Historic Shoreline, Horsepen Point, NC, National Assessment of Shoreline Change Project, North America, North Carolina, Ocracoke Inlet, Ocracoke Island, Portsmouth Island, Shoreline, Short-Term Shoreline Change Rate, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, oceans, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Cape Lookout, NC, 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, CMHRP, Cape Lookout, Cape Lookout, All tags... Cape Lookout National Seashore, Cape Lookout National Seashore, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, MHW, Mean High Water, NC, North America, North Carolina, North Core Islands, Shackleford Banks, South Core Islands, 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 Development: Development delineation: Cape Lookout, NC, 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, CMHRP, Cape Lookout, Cape Lookout, All tags... Cape Lookout National Seashore, Cape Lookout National Seashore, Coastal Armoring, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, Human Development, NC, North America, North Carolina, North Core Islands, Shackleford Banks, South Core Islands, 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 Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes. Categories: Data; Tags: AL, AR, AZ, Alabama, Aquatic Biology, All tags... Arizona, Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, Ecology, FL, Florida, GA, Georgia, Hydrology, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Limnology, Louisiana, 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, USGS Science Data Catalog (SDC), UT, United States, Utah, VA, VT, Vermont, Virginia, WA, WI, WV, WY, Washington, Water Quality, Water Resources, West Virginia, Wisconsin, Wyoming, climate change, deep learning, environment, inlandWaters, machine learning, modeling, reservoirs, surface temperature, temperate lakes, temperature, water, water resources, Fewer tags Shorelines of the southern North Carolina (NCsouth) coastal region used in shoreline change analysis Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Beach, Atlantic Coast, Bald Head Island, Bogue Banks, Browns Inlet, All tags... CERC, CERC map, CMGP, Cape Fear, Carolina Beach, Coastal Engineering Research Center, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Emerald Isle, HWL, High Water Line, Kure Beach, MHW, Mean High Water, NC, NOAA, NOS, National Assessment of Shoreline Change Project, National Ocean Service, National Oceanic and Atmospheric Administration, New River Inlet, North America, North Carolina, Shackleford Banks, Shoreline, Shoreline Change, Topsail Island, U.S. Army Corps of Engineers, U.S. Geological Survey, USACE, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, Wrightsville Beach, environment, geoscientificInformation, oceans, 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 Geologic Provinces of Australia and New Zealand, 2000 (prv3cl) This coverage includes arcs, polygons and polygon labels that describe U.S. Geological Survey defined geologic provinces of the Australia and New Zealand area (Australia, Fiji, New Zealand, Tonga and Vanuatu; and parts of Indonesia, Papua New Guinea and Solomon Islands). Each province has a set of geologic characteristics distinguishing it from surrounding provinces. These characteristics may include the dominant lithologies, the age of the strata, and the structural style. Some provinces include multiple genetically-related basins. Offshore province boundaries are defined by the 2000 meter bathymetric contour. Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AS, Adelaide and Kanmantoo Fold Belts, Province 3901, Akita Basin, Province 3301, Alakol Basin, Province 1169, Alashan Yinshan Fold Belt, Province 3101, All tags... Albany-Fraser Province 3904, Altay-Sayan Folded Region, Province 1219, Altunshan Fold Belt, Province 3102, Amadeus Basin, Province 3903, Arafura Basin-Irian Jaya, Province 3801, Arunta Block, Province 3904, Australia, Australian Arafura Basin, Province 3905, BP, Baikal-Patom Folded Region, Province 1230, Bali Basin, Province 3802, Banda Arc, Province 3803, Bangemall and Nabberu Basins, Province 3906, Baram Delta/Brunei-Sabah Basin, Province 3701, Barito Basin, Province 3804, Bass Basin, Province 3907, Bassian Rise, Province 3908, Bau Waters Basin, Province 3001, Beibuwan Basin, Province 3103, Bellona Plateau, Province 3002, Bicol Shelf Basin, Province 3601, Bijianan Basin, Province 3180, Bintuni/Sulawati Province 3805, Birrindudu Basin and Tanami Block, Province 3909, Bligh Water Basin, Province 3003, Bogdashan Fold Belt, Province 3105, Bohaiwan Basin, Province 3127, Bonaparte Gulf Basin, Province 3910, Bone Basin, Province 3806, Bose Basin, Province 3106, Bowen Basin, Province 3911, Bremer Basin, Province 3912, Browse Basin, Province 3913, Cagayan Basin, Province 3602, Canning Basin, Province 3914, Cape Vogel Basin, Province 3964, Capricorn Basin, Province 3915, Carnarvon Basin, Province 3916, Carpentaria Basin, Province 3917, Celebes Sea, Province 3807, Central Sumatra Basin, Province 3808, Central Vietnam Basin, Province 3501, Challenger Plateau, Province 3918, Chatham Rise, Province 3972, Choybalsan Basin, Province 3203, Chuxiong Basin, Province 3107, Clarence-Moreton Basin, Province 3919, Coen-Yambo Block, Province 3920, Commonwealth of Australia, Cotabato Basin, Province 3603, Cuoqing Lupola Basin, Province 3108, Daly River Basin, Province 3921, Darling Basin, Province 3922, Drummond Fold Belt and Anakie High, Province 3923, Earth Science, East China Sea Basin, Province 3109, East Ili Basin, Province 1164, East Java Basin, Province 3809, East Natuna Basin, Province 3810, East Ontong Java Rise, Province 3014, Economic geology, Erlian Basin, Province 3110, Erlian Uplift, Province 3166, Eromanga Basin, Province 3924, Eucla Basin, Province 3925, FF, Fiji, Fiji Islands, Province 3973, Fiji Ridge, Province 3006, Flores Basin, Province 3811, Galilee Basin, Province 3926, Gas, Gascoyne Block, Province 3927, Gawler Block, Province 3928, Gensan Basin, Province 3401, Geologic Provinces, Geologic map, Geology, Georgina Basin, Province 3929, Gippsland Basin, Province 3930, Gobi Basin, Province 3204, Gorontalo Basin, Province 3812, Great Australian Bight Basin, Province 3931, Great Lake Basin, Province 3208, Great Lake Uplift, Province 3209, Great South Basin, Province 3007, Greater Sarawak Basin, Province 3702, Gyeongsang Basin, Province 3402, Halifax Basin, Province 3932, Halls Creek Province 3933, Halmahera Basin, Province 3813, Halmahera Platform, Province 3814, Heilongjiang Basin, Province 3165, Hikurani Trough, Province 3008, Himalayan, Province 8002, Hodgkinson/Lachlan Fold Belt, Province 3934, Honshu Ridge, Province 3302, Huskan Platform, Province 3403, ID, Independent State of Papua New Guinea, Independent State of Samoa, Indispensable Reef, Province 3015, Indonesia, Ishikari Hidaka Basin, Province 3303, Japan Volcanic Arc/Accreted Terrane, Province 3304, Java/Banda Sea, Province 3815, Jianghan Basin, Province 3112, Jiangnan South Jiangsu Fold Belt, Province 3113, Jiuquan Minle Wuwei Basin, Province 3114, Joban Basin, Province 3305, Junggar Basin, Province 3115, Kanto Basin, Province 3306, Karamay Thrust Belt, Province 3116, Kermadec Ridge, Province 3010, Ketuneau/Sintang Terrane, Province 3816, Khanka Basin, Province 1226, Khorat Platform, Province 3502, Kimberley Basin, Province 3935, Kingdom of Tonga, Korba Bay Basin, Province 3404, Korean Continental Shelf, Province 3406, Korean Craton, Province 3405, Kumukulig Basin, Province 3117, Kunlunshan Fold Belt, Province 3118, Kutei Basin, Province 3817, Lacklan Fold Belt, Province 3936, Lanping Simao Basin, Province 3119, Laura Basin, Province 3937, Leidong Basin, Province 3120, Lhasa Basin, Province 3121, Lhasa Terrane, Province 3122, Longmenshan Dabashan Fold Belt, Province 3168, Lord Howe Rise, Province 3011, Loyalty Island Ridge, Province 3012, Luxi Jiaoliao Uplift, Province 3124, Malakula/Aoba/Banks Basin, Province 3938, Malay Basin, Province 3703, Malay Peninsula, Province 3704, Marion Terrain, Province 3939, Maryborough Basin, Province 3940, McArthur Basin, Province 3945, Mekong/Cuulong/Vung Tau Basin, Province 3503, Melanesia, Melanesia Border Plateau, Province 3013, Melawi Basin, Province 3818, Mellish Reef, Province 3017, Meratus High, Province 3819, Merauke Platform, Province 3820, Middle Amur Basin, Province 1227, Miyazaki Basin, Province 3307, Mohe Basin, Province 3164, Money Shoal Basin, Province 3941, Mongol-Okhotsk Folded Region, Province 3202, Mt. Isa Block, Province 3942, Murray Basin, Province 3943, Musgrave Block, Province 3944, NC, NH, NZ, Nanpanjiang Depression, Province 3125, Nanyang Basin, Province 3126, Natural Gas, Natural Resources, Natural gas resources, New Caledonia, New Caledonia, Province 3018, New England Fold Belt, Province 3946, New Guinea Foreland Basin-Fold Belt, Province 3966, New Guinea Mobile Belt, Province 3967, New Hebrides Arc, Province 3019, New Ireland Basin, Province 3968, New Zealand, New Zealand East Coast Basin, Province 3020, New Zealand Orogenic Belt, Province 3021, Ngalia Basin, Province 3947, Niigata Basin, Province 3308, Norfolk Island Ridge, Province 3022, North Banda Basin, Province 3821, North Sumatra Basin, Province 3822, Northern Irian Jaya Waropen Basin, Province 3823, Northland Basin, Province 3023, Northwest Java Basin, Province 3824, Northwest Shelf, Province 3948, Nyalga Basin, Province 3205, Oceania, Officer Basin, Province 3949, Oil, Oil, Oil sand resources, Oil shale resources, Okinawa Trough, Province 3309, Ordos Basin, Province 3128, Otway Basin, Province 3950, PP, Palawan Shelf, Province 3605, Pamusian Tarakan Basin, Province 3606, Panjang/Cardomomes Basin, Province 3504, Papua New Guinea, Papuan Basin-Shelf Platform, Province 3969, Paterson Province 3951, Pearl River Mouth Basin, Province 3130, Penyu/West Natuna Basin, Province 3825, Perth Basin, Province 3952, Petroleum, Philippine Accretionary Prism, Province 3607, Philippine Magmatic Arc, Province 3608, Pilbara Block, Province 3953, Pine Creek Geosyncline, Province 3954, Qabdu Basin, Province 3137, Qaidam Basin, Province 3131, Qiangtang Tanggula Basin, Province 3132, Qiangtang Terrane, Province 3133, Qilianshan Fold Belt, Province 3134, Qinling Dabieshan Fold Belt, Province 3135, Qiongdongnan Basin, Province 3136, Queensland Plateau, Province 3955, Rajang-Crocker Accretionary Prism, Province 3705, Reed Bank Basin, Province 3609, Republic of Indonesia, Republic of Vanuatu, Republic of the Fiji Islands, Resource Assessment, Rocky Cape Block/Dundas Trough, Province 3956, Russell Basin, Province 3016, Ryukyu Volcanic Arc, Province 3310, Sagara Basin, Province 3311, Saigon Basin, Province 3505, Samoa, Samoa Basin, Province 3024, Sanshui Basin, Province 3139, Sea Of Japan Backarc Basin, Province 3312, Sepik-Ramu Basin, Province 3970, Shanxi Plateau, Province 3140, Shiwan Dashan Basin, Province 3141, Shorland Basin, Province 3004, Sichuan Basin, Province 3142, Sikhote-Alin Folded Region, Province 1224, Sinzi Uplift, Province 3313, Solander-Waiau Basin, Province 3025, Solomon Islands, Province 3005, Songliao Basin, Province 3144, Songpan Ganzi Fold Belt, Province 3143, South Banda Basin, Province 3826, South Bismarck Volcanic Arc, Province 3971, South China Continental Shelf Slope, Province 3181, South China Fold Belt, Province 3146, South China Ocean Basin, Province 3167, South China Sea Platform, Province 3506, South Makassar Basin, Province 3827, South Sumatra Basin, Province 3828, Stuart Shelf, Province 3957, Subei Yellow Sea Basin, Province 3147, Sulawesi Accretionary Prism, Province 3829, Sulawesi Magmatic Arc, Province 3830, Sulongshan Fold Belt, Province 3148, Sulu Arch, Province 3610, Sulu Sea Basin, Province 3611, Sumatra/Java Accretionary Prism, Province 3831, Sumatra/Java Fore-Arc Basins, Province 3832, Sumatra/Java Magmatic Arc, Province 3833, Sumba Province 3834, Sunda Platform, Province 3835, Surat Basin, Province 3958, Sydney Basin, Province 3959, TN, TV, Tagaung Myitkyina Fold Belt, Province 3520, Taihangshan Yanshan Fold Belt, Province 3149, Taikang Hefei Basin, Province 3150, Taiwan Melange Belt, Province 3152, Taiwan Thrust and Fold Belt, Province 3151, Taixinan Basin, Province 3153, Taranaki Basin, Province 3031, Tarim Basin, Province 3154, Tasmania, Tasmania Basin, Province 3960, Temtsag Hailar Basin, Province 3207, Tenasserim-Shan, Province 8006, Tennant Creek Block, Province 3961, Thai Basin, Province 3507, Thailand Mesozoic Basin Belt, Province 3508, Three Kings Rise, Province 3026, Tian Shan Foldbelt, Province 1158, Tokachi Basin, Province 3314, Tonga, Tonga Ridge, Province 3027, Tonle Sap-Phnom Penh Basin, Province 3509, Tottori Basin, Province 3315, Truong Son Fold Belt, Province 3510, Tsushima Basin, Province 3316, Turpan Basin, Province 3156, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), Ulan Bator Basin, Province 3210, Ushumun Basin, Province 3138, Vanikoro Basin, Province 3028, Vanuatu, Victoria River Basin, Province 3962, Visayan, Province 3612, WS, Waikato Basin, Province 3029, Wanganui Basin, Province 3030, Weber Basin, Province 3836, Wiso Basin, Province 3963, Xichang Yunnan Fold Belt, Province 3157, Xisha Trough, Province 3158, Yilgarn Block, Province 3974, Yingehai Basin, Province 3159, Yinshan Da and Xiao Hingganling Uplift, Province 3160, Yitong Graben, Province 3169, Yunnan Guizhou Hubei Fold Belt, Province 3161, Zambalez/Central Luzon Basin, Province 3837, Zaysan Basin, Province 1170, Zhangguangcailing Uplift, Province 3162, asiapacific, environment, geoscientificInformation, oilgas, wep, worldgeologicmaps, Fewer tags National Assessment of Oil and Gas Project - Appalachian Basin (067) Quarter-Mile Cells Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the... Categories: Data, pre-SM502.8; 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, Assessment Unit, Cells, 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, 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, Fewer tags Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for central North Carolina (NCcentral) Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, CMGP, Cape Hatteras, Cape Lookout, All tags... Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Erosion, Green Island, Historic Shoreline, Horsepen Point, Linear Regression Rate, Long-Term Shoreline Change Rate, NC, National Assessment of Shoreline Change Project, North America, North Carolina, Ocracoke Inlet, Ocracoke Island, Portsmouth Island, Shoreline, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, oceans, Fewer tags Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for northern North Carolina (NCnorth) Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Coast, Bodie Island, Buxton, CMGP, All tags... Cape Hatteras, Coastal and Marine Geology Program, Corolla, DSAS, Digital Shoreline Analysis System, Erosion, Hatteras Island, Historic Shoreline, Kitty Hawk, Linear Regression Rate, NC, Nags Head, National Assessment of Shoreline Change Project, North America, North Carolina, Oregon Inlet, Outer Banks, Pea Island, Rodanthe, Shoreline, Short-Term Shoreline Change Rate, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, oceans, Fewer tags Offshore baseline for the southern North Carolina (NCsouth) coastal region generated to calculate shoreline change rates Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Beach, Atlantic Coast, Bald Head Island, Baseline, Bogue Banks, All tags... Browns Inlet, CMGP, Cape Fear, Carolina Beach, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Emerald Isle, Kure Beach, NC, National Assessment of Shoreline Change Project, New River Inlet, North America, North Carolina, Shackleford Banks, Shoreline, Shoreline Change, Topsail Island, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, Wrightsville Beach, environment, geoscientificInformation, oceans, Fewer tags Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for southern North Carolina (NCsouth) Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accretion, Atlantic Beach, Atlantic Coast, Bald Head Island, Bogue Banks, All tags... Browns Inlet, CMGP, Cape Fear, Carolina Beach, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Emerald Isle, End Point Rate, Erosion, Historic Shoreline, Kure Beach, NC, National Assessment of Shoreline Change Project, New River Inlet, North America, North Carolina, Shackleford Banks, Shoreline, Short-Term Shoreline Change Rate, Topsail Island, Transect, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, Wrightsville Beach, environment, geoscientificInformation, oceans, Fewer tags Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, 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 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30. Categories: Data; 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 Estimated Surface-Water Withdrawals for the Coastal Carolinas Focus Area Study by Soil Water Assessment Tool Model Catchment Area, Year, and Water-Use Category, 1983 - 2017 The Cape Fear and Pee Dee River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National Water Census (NWC) in 2016. The objective of the NWC is to place technical information and tools in the hands of stake holders so that they can make decisions on water availability. The USGS South Atlantic Water Science Center, comprised of North Carolina, South Carolina, and Georgia, conducted a 3-year study of water use and availability to provide information related to the competing societal and ecological water needs in the Southeastern Atlantic Coastal Basins of the Carolinas. One task to meet this objective was compiling water withdrawal and return... Categories: Data; Tags: Cape Fear River, Georgetown, SC, HUC4, Jacksonville, NC, NC, All tags... North Carolina, Pee Dee River, SC, SWAT, South Carolina, The Soil and Water Assessment Tool, Waccamaw River, Yadkin River, catchment, modeling, subregion, surface water, water use, water-use category, watershed, Fewer tags DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Cape Lookout, NC, 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, Cape Lookout, All tags... Cape Lookout, Cape Lookout National Seashore, Cape Lookout National Seashore, Charadrius melodus, Coastal Habitat, Coastal and Marine Geology Program, Foraging Ecology, GIS, Geographic Information Systems, MHW, Mean High Water, NC, North America, North Carolina, North Core Islands, Piping Plovers, Shackleford Banks, South Core Islands, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Cape Hatteras, NC, 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, CMHRP, Cape Hatteras, Cape Hatteras, All tags... Cape Hatteras National Seashore, Cape Hatteras National Seashore, Coastal Habitat, Coastal and Marine Hazards and Resources Program, GIS, Geographic Information Systems, MHW, Mean High Water, NC, North America, North Carolina, Ocracoke 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, environment, erosion, geographic information systems, geomorphology, geospatial analysis, geospatial datasets, hazards, image analysis, oceans, scientific interpretation, sea-level change, study areas, Fewer tags Shorelines of the central North Carolina (NCcentral) coastal region used in shoreline change analysis Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CERC, CERC map, CMGP, Cape Hatteras, All tags... Cape Lookout, Coastal Engineering Research Center, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, Green Island, HWL, High Water Line, Horsepen Point, MHW, Mean High Water, NC, NOAA, NOS, National Assessment of Shoreline Change Project, National Ocean Service, National Oceanic and Atmospheric Administration, North America, North Carolina, Ocracoke Inlet, Ocracoke Island, Portsmouth Island, Shoreline, Shoreline Change, U.S. Army Corps of Engineers, U.S. Geological Survey, USACE, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, oceans, Fewer tags Offshore baseline for the northern North Carolina (NCnorth) coastal region generated to calculate shoreline change rates Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project (http://coastal.er.usgs.gov/shoreline-change/), documents changes in shoreline position as a proxy for coastal... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, Bodie Island, Buxton, CMGP, All tags... Cape Hatteras, Coastal and Marine Geology Program, Corolla, DSAS, Digital Shoreline Analysis System, Hatteras Island, Kitty Hawk, NC, Nags Head, National Assessment of Shoreline Change Project, North America, North Carolina, Oregon Inlet, Outer Banks, Pea Island, Rodanthe, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, environment, geoscientificInformation, oceans, Fewer tags 1 2 3 »