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This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 23, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology.
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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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State and local county health departments have detected per- and polyfluoroalkyl substances (PFAS) in groundwater downgradient of airports and military and firefighting training areas in Long Island, New York. However, the occurrence and spatial distribution of PFAS throughout the surficial aquifer is not well established. Shallow groundwater samples were collected in 2018 from two observation well networks; the Sentinel network and Wastewater Treatment Plant groundwater (WTPGW) network. The Sentinel network is an island-wide group of wells screened within the shallow upper glacial (surficial, <100 feet deep) aquifer, which were sampled to assess the occurrence of PFAS in different land-use settings. The WTPGW network...
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This model archive makes available the Soil-Water-Balance (SWB) model (Westenbroek and others, 2010) and input data used to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019 as described in U.S. Geological Survey Scientific Investigations Report 2021-5143. Input data for two SWB simulations are included in the archive. The first simulation uses existing land-use/land-cover datasets to estimate changes in recharge with changing land use from 1900-2019 (referred to as the post-development simulation). The second simulation assumed a forested, undeveloped (pre-development simulation) condition across Long Island for the same period. The same soil coverages...
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This dataset has been archived; it has been superseded by version 1.1 (December 2022) which can be found at https://doi.org/10.5066/P9KODN4C. This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water quality and quality-assurance data from seven sites on two rivers (Carmans River- 5 sites and Peconic River - 2 sites) in the CPB are included. Carmans River sites were sampled four times throughout...
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This data release contains meteorological sensor data (6-minute intervals) collected at Great South Bay at Watch Hill on Fire Island (USGS station number, 01305575), New York, from 2017 to 2022. Measured parameters include: air pressure, air temperature, precipitation, relative humidity, solar radiation, wind direction and speed, and wind-gust direction and speed. Data users are encouraged to review the metadata for information on data quality and screening prior to use.
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This data release contains model simulation results of a particle tracking analysis to delineate areas that provide recharge to surface waters and public-supply wells on Long Island, NY. The analysis partitions the recharge areas based on particle travel times of greater than or less than 10 years to reach the receiving surface water or well. The simulation was performed using a regional-scale numerical model of the Long Island aquifer system (Walter and others, 2020a and 2020b) for average 2005-2015 conditions. The model implements MODFLOW-NWT (Niswonger and others, 2011) to represent steady-state groundwater pumping and aquifer recharge conditions; recharge areas were identified and partitioned using the particle-tracking...
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This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 26, 2016 AUV survey. The raster was generated by using a natural neighbors interplator within a GIS on the empirical data set. This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the interpolated dissolved oxygen surface, an xml file which contains metadata, and a layer file which can be used to import the layer's symbology.
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The Bathymetry surface was created by plotting depths of all data points collected relative to North American Vertical Datum of 1988 (NAVD 88), which was converted using the Vertical Datum Transformation tool created by the National Oceanic and Atmospheric Administration's (NOAA) National Geodetic Survey, Office of Coast Survey, and Center for Operation Oceanographic Products and Services. The elevation of the bathymetric raster surface was interpolated between these points in a GIS using a spline interpolator. A total of 432 points were used for interpolation. The points were used as the input to create a polygon feature class. The Spline tool was applied using the points and polygon to interpolate the bathymetric...
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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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This U.S. Geological Survey (USGS) data release provides surface water quality and groundwater elevation data collected by USGS personnel within the Central Pine Barrens (CPB) Region of Suffolk County, New York, from October 1, 2021 through September 30, 2022. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a comprehensive water resources monitoring program during 2017 to 2023. Water quality and quality assurance data from seven sites on two rivers (Carmans River- five sites and Peconic River- two sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River...
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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 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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This data set provides locations and values of water quality parameters from a survey conducted on August 24, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 24 survey, 17,808 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...


map background search result map search result map Potentiometric Surface Contours of the Lloyd and North Shore Aquifers, April-May 2016 Approximate Regional Groundwater Divide on Long Island, New York, April-May 2016 August 23, 2016 AUV Survey - Dissolved Oxygen Surface August 26, 2016 AUV Survey - Dissolved Oxygen Surface August 24, 2016 AUV Survey - Observation Point Data Bathymetry Raster Surface Occurrence of per- and polyfluoroalkyl substances, Long Island and New York City, New York DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fire Island, NY, 2010 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Fire Island, NY, 2010 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fire Island, NY, 2012 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Fire Island, NY, 2012 ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2014 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Rockaway Peninsula, NY, 2010 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Rockaway Peninsula, NY, 2010–2011 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Rockaway Peninsula, NY, 2012 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York Soil-water-balance model archive for Long Island, NY, 1900-2019 Meteorological Data from Great South Bay at Watch Hill on Fire Island, New York, 2017 to 2022 Simulated Recharge Areas to Surface Waters and Public-Supply Wells with Travel Times Greater Than and Less Than 10 Years For Average 2005-2015 Conditions, Long Island, NY 2022 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York Meteorological Data from Great South Bay at Watch Hill on Fire Island, New York, 2017 to 2022 August 26, 2016 AUV Survey - Dissolved Oxygen Surface August 24, 2016 AUV Survey - Observation Point Data August 23, 2016 AUV Survey - Dissolved Oxygen Surface DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Rockaway Peninsula, NY, 2010 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Rockaway Peninsula, NY, 2012 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Rockaway Peninsula, NY, 2010–2011 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Fire Island, NY, 2012 ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2014 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fire Island, NY, 2010 shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Fire Island, NY, 2010 DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Fire Island, NY, 2012 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York 2022 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York Approximate Regional Groundwater Divide on Long Island, New York, April-May 2016 Potentiometric Surface Contours of the Lloyd and North Shore Aquifers, April-May 2016 Occurrence of per- and polyfluoroalkyl substances, Long Island and New York City, New York Soil-water-balance model archive for Long Island, NY, 1900-2019 Simulated Recharge Areas to Surface Waters and Public-Supply Wells with Travel Times Greater Than and Less Than 10 Years For Average 2005-2015 Conditions, Long Island, NY