Filters: Tags: MD (X) > Categories: Data (X)

Filters Date Range Past year (14) Past month (2) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (17) Raster (5) ArcGIS Service Definition (1) Types Map Service (24) Downloadable (22) OGC WFS Layer (19) OGC WMS Layer (19) Shapefile (17) More... Contacts U.S. Geological Survey - ScienceBase Woods Hole Coastal and Marine Science Center U.S. Geological Survey Samantha K Oliver Ben Gutierrez More... Categories pre-SM502.8 (5) Data Release - In Progress (1) Tag Types Place (41) Theme (41) place (1) USGS Scientific Topic Keyword (5) LCC End User Type (1) Harvest Set (11) theme (1) More... 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 (21) None (15) none (24) USGS Thesaurus (25) USGS Oil and Gas Assessment Units (NOGA-2000) (5) ISO 19115 Topic Category (36) Central Energy Resources Team Keyword Thesaurus (5) 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 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Assateague Island, MD & 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, CMHRP, Chincoteague National Wildlife Refuge, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, MD, Maryland,, North America, 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, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, 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 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags Data to support water quality modeling efforts in the Delaware River Basin: 2) River and Reservoir Observations 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 contains observations related to the amount and quality of water in the Delaware River Basin. Data from a subset of reservoirs in the basin include observed daily depth-resolved water temperature, water levels, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Observations were compiled from a variety of sources, including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream... Categories: Data; 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 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 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 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2008 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, 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 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 ElevMHW: Elevation adjusted to local mean high water: Assateague Island, MD & 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: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, CMHRP, Chincoteague National Wildlife Refuge, Coastal Habitat, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, digital elevation models, elevation, geomorphology, geospatial analysis, geospatial datasets, lidar, oceans, topography, Fewer tags Predicting water temperature in the Delaware River Basin: 4 Model inputs This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and metadata, and reservoir characteristics. Categories: Data; 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 Barrier island geomorphology and seabeach amaranth metrics at 50-m alongshore transects, and 5-m cross-shore points for 2008 — Assateague Island, MD and VA. Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, Mean Lower Low Water, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, 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 Data to support water quality modeling efforts in the Delaware River Basin: 3) Model Driver Data 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 includes model drivers such as gridded weather data (NOAA GEFS and GridMET), and the stream network distance matrix for the Delaware River Basin. Additionally, inputs and outputs from an uncalibrated process-based stream temperature model (PRMS-SNTemp) are included. Categories: Data; 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 Development: Development delineation: Assateague Island, MD & 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, CMHRP, Chincoteague National Wildlife Refuge, Coastal Armoring, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, GIS, Geographic Information Systems, Human Development, MD, Maryland, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, environment, geospatial datasets, land use and land cover, Fewer tags Multistate Aquatic Resources Information System (MARIS) published 20131201 - Maryland fish sampling records 1974-2013 Maryland Department of Natural Resources, Information Technology Service and Inland Fisheries Service developed a data management system referred to as the Geographic Inland Fisheries Survey system (GIFS). The GIFS database contains all parameters typical of fisheries information including date, location, fish species, invertebrate species, habitat, water quality, and tournament details. The information is often oriented to sport fish surveys though not exclusively. MARIS is an internet-based information sharing network that allows multiple states to provide a common set of variables via a single web interface. MARIS is not a “dataset” but rather links specific content of multiple states’ datasets. MARIS does not... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: Abundance (organisms), Allegany County, Maryland, Anne Arundel County, Maryland, Baltimore City, Maryland, Baltimore County, Maryland, All tags... Biological sampling, Calvert County, Maryland, Caroline County, Maryland, Carroll County, Maryland, Cecil County, Maryland, Charles County, Maryland, Dorchester County, Maryland, Frederick County, Maryland, Freshwater fishes, Garrett County, Maryland, Harford County, Maryland, Howard County, Maryland, Inland water environments, Kent County, Maryland, MD, Maryland, Montgomery County, Maryland, Prince George's County, Maryland, Queen Anne's County, Maryland, Somerset County, Maryland, Spatial distribution, Species composition, St. Mary's County, Maryland, Talbot County, Maryland, Washington County, Maryland, Wicomico County, Maryland, Worcester County, Maryland, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Assateague Island, MD & 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, CMHRP, Chincoteague National Wildlife Refuge, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Delmarva Peninsula, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags 1 2 3 »