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Data used to model and map manganese concentrations in groundwater in the Northern Atlantic Coastal Plain (NACP) aquifer system, eastern USA, are documented in this data release. The model predicts manganese concentration within four classes and is based on concentration data from 4492 wells. The well data were compiled from U.S. Geological Survey, U.S. Environmental Protection Agency, Suffolk County Water Authority (Suffolk County, New York), and state agency sources. The four concentration classes are based on guidelines for drinking water quality: below detection (class 1, less than 10 micrograms per liter (ug/L)); detected but less than the aesthetic guideline of 50 ug/L (class 2); greater than the aesthetic...
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The U.S. Geological Survey (USGS) is providing online maps of water-table and potentiometric-surface altitude in the upper glacial, Magothy, Jameco, Lloyd, and North Shore aquifers on Long Island, New York, April–May 2016. Also provided is a depth-to-water map for Long Island, New York, April–May 2016. The USGS makes these maps and geospatial data available as REST Open Map Services (as well as HTTP, JSON, KML, and shapefile), so end-users can consume them on mobile and web clients. A companion report, U.S. Geological Survey Scientific Investigations Map 3398 (Como and others, 2018; https://doi.org/10.3133/sim3398) further describes data collection and map preparation and presents 68x22 in. Portable Document...
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The U.S. Geological Survey (USGS) is providing an online map of potentiometric-surface altitude contours in the Magothy and Jameco aquifers on Long Island, New York, April-May 2013. USGS serves this map and geospatial data as a REST Open Map Service (as well as HTTP, JSON, KML, and shapefile), so end-users can use the map and data on mobile and web clients. A companion report, U.S. Geological Survey Scientific Investigations Map 3326 (Como and others, 2015; http://dx.doi.org/10.3133/sim3326) further describes data collection and map preparation and presents 68x22 in. PDF versions, 4 sheets, scale 1:125,000. This polyline shapefile consists of digital contours that represent the potentiometric-surface...
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The data contained in this data release support USGS Scientific Investigations Report 2020-5023, "Distribution of selected hydrogeologic characteristics of the upper glacial and Magothy aquifers, Long Island, New York" (Walter and Finkelstein, 2020). This data release contains estimates of aquifer texture describing the Long Island aquifer system. These estimates in total can be considered a model of aquifer texture describing unconsolidated sediments in the following principal units: 1) Upper glacial aquifer, 2) Jameco aquifer, 3) Monmouth Greensand confining unit, and 4) Magothy aquifer. The Lloyd aquifer, a major aquifer on Long Island, is not included in the model due to a lack of available data. Aquifer texture...
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This model archive contains files for a set of groundwater flow, particle tracking, and management optimization models that simulate the area around the Navy-Northrop-Grumman contamination plume on Long Island, New York. These models were developed as in insets from the Long Island Regional “parent” Model, from which perimeter boundary conditions were inherited. In addition to input and output files for these models, this archive contains the modeling workflow python code and source data used to build the model. These materials have been included for repeatability and decision transparency.
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Atlantic coast piping plover (Charadrius melodus) nest sites are typically found on low-lying beach and dune systems, which respond rapidly to coastal processes like sediment overwash, inlet formation, and island migration that are sensitive to climate-related changes in storminess and the rate of sea-level rise. Data were obtained to understand piping plover habitat distribution and use along their Atlantic Coast breeding range. A smartphone application called iPlover was developed to collect standardized data on habitat characteristics at piping plover nest locations. The application capitalized on a network of trained monitors that observe piping plovers throughout their U.S. Atlantic coast breeding range as...
Categories: Data; Tags: Assateague Island, Atlantic Margin, CMGP, Cape Cod, Cape Lookout, All tags...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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Surveys of the bathymetry and backscatter intensity of the sea floor south of Long Island, New York, were carried out in November 1998 using a Simrad EM1000 multibeam echosounder mounted on the Canadian Coast Guard ship Frederick G. Creed. The purpose of the multibeam echosounder surveys was to explore the bathymetry and backscatter intensity of the sea floor in several areas off the southern coast of Long Island along the 20-meter isobath. Survey areas offshore of Fire Island Inlet, Moriches Inlet, Shinnecock Inlet, and southwest of Montauk Point were about 1 kilometer (km) wide and 10 km long. The area was mapped by the U.S. Geological Survey with support from the Canadian Hydrographic Service and the University...
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These data are from a 1998 multibeam survey of the sea floor offshore of Shinnecock Inlet, New York. There are five datasets: bathymetry grid, shaded-relief image, backscatter intensity image, shaded-relief colored by backscatter intensity image, and trackline navigation. The bathymetry shows the shape of the sea floor. Of particular interest are the size, shape, and orientation of bed forms that may indicate sediment movement. The shaded-relief image provides a visualization of the bathymetry that accentuates small features that cannot be effectively shown as contours alone. The image of backscatter intensity provides qualitative information on the sediment texture and roughness of the sea floor. The image of shaded-relief...
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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This data set provides locations and values of water quality paramters from a survey conducted on August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Patchogue Bay, NY. During the August 26 survey, 16,487 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
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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...
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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...
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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...
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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...
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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...
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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...
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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...


map background search result map search result map Offshore of Shinnecock Inlet, New York GeoTIFF image of shaded-relief bathymetry of the sea floor southwest of Montauk Point, New York, in 1998 (3-m resolution, Mercator, WGS 84) Potentiometric Surface Contours of the Magothy and Jameco Aquifers, April-May 2013 FSA 10:1 NAIP Imagery m_4609018_ne_15_1_20150709_20151110 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2809644_nw_14_1_20140504_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2809644_sw_14_1_20140504_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909904_nw_14_1_20150928_20151103 3.75 x 3.75 minute JPEG2000 from The National Map Potentiometric Surface Contours of the Magothy and Jameco Aquifers, April-May 2016 August 26, 2016 AUV Survey - Observation Point Data Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Fire Island, NY, 2010–2011 DisOcean: Distance to the ocean: Fire Island, NY, 2012 ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2012 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Fire Island, NY, 2014–2015 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Rockaway Peninsula, NY, 2010 Development: Development delineation: Rockaway Peninsula, NY, 2012 DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Rockaway Peninsula, NY, 2012 Data used to model and map manganese in the Northern Atlantic Coastal Plain aquifer system, eastern USA Aquifer texture data describing the Long Island aquifer system (ver. 3.0, December 2021) MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York FSA 10:1 NAIP Imagery m_2809644_nw_14_1_20140504_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_2809644_sw_14_1_20140504_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3909904_nw_14_1_20150928_20151103 3.75 x 3.75 minute JPEG2000 from The National Map August 26, 2016 AUV Survey - Observation Point Data shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Rockaway Peninsula, NY, 2010 Development: Development delineation: Rockaway Peninsula, NY, 2012 MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Rockaway Peninsula, NY, 2012 Offshore of Shinnecock Inlet, New York SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Fire Island, NY, 2010–2011 DisOcean: Distance to the ocean: Fire Island, NY, 2012 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Fire Island, NY, 2014–2015 ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2012 Potentiometric Surface Contours of the Magothy and Jameco Aquifers, April-May 2016 Potentiometric Surface Contours of the Magothy and Jameco Aquifers, April-May 2013 Aquifer texture data describing the Long Island aquifer system (ver. 3.0, December 2021) Data used to model and map manganese in the Northern Atlantic Coastal Plain aquifer system, eastern USA Table and accompanying photographs for biogeomorphic classification of shorebird nesting sites on the U.S. Atlantic coast from March to September, 2016