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Coastal Groundwater Chemical Data from the North and South Shores of Long Island, New York
Groundwater data were collected in the spring and fall of 2008 from three sites representing different geological settings and biogeochemical conditions within the surficial glacial aquifer of Long Island, NY. Investigations were designed to examine the extent to which average vadose zone thickness in contributing watersheds controlled biogeochemical conditions and processes, including dissolved oxygen concentration (DO), oxidation-reduction potential (Eh), dissolved organic carbon concentration (DOC), and microbial dinitrogen (N2) production. Greatest N2 production was observed at the south shore of Long Island, which is characterized by a thin vadose zone, low DO and Eh, and relatively high DOC. Limited N2 production occurred at the north shore of Long Island, which is characterized by a thick vadose zone, higher DO, higher Eh, and lower DOC. Our results show that vadose zone thickness exerts an important control on the extent of microbial N2 production in aquifers that lack a significant supply of sediment-bound reducing potential. We interpret heterotrophic denitrification to be the primary driver of N2 production in the present study, while acknowledging that anaerobic ammonium oxidation (anammox) likely plays an unquantified role as well.
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Data tables for the Long Island Sound and New York Bight database
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Detailed chemical, station (source and documentation, sample locations), and texture data are provided for sediments in Long Island Sound and New York Bight. The sediment data are provided as spreadsheet (Microsoft Excel) and tab-delimited files on the web site. These data are in the form of sections within the web site, which provides extensive supporting data, interpretive diagrams, and discussion. The data were obtained from a variety of sources: published reports, theses, unpublished data from agencies and organizations in the Long Island Sound and New York Bight area and Federal agencies such as the U.S. Army Corps of Engineers, U.S. Environmental Protection Agency, NOAA, National Status and Trends Benthic Surveillance program, and the U.S. Geological Survey.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
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This data provides an interpolated 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 interpolator 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. During the August 23 survey, 13,910 data points were collected. A subset of 3477 (25%) random points were removed prior to interpolation. The interpolated raster values were compared with the subset to diagnose the accuracy of interplotion. 3076 out of 3477 (88.45) of the points were within 97.5% of the raster value.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 25, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator 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. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 25, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator 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. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated 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 interpolator 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. During the August 26 survey, 10,577 data points were collected in Patchogue Bay. A subset of 2644 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an interpolated 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 interpolator 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. During the August 26 survey, 10,577 data points were collected in Patchogue Bay. A subset of 2644 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
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This data set provides locations and values of water quality parametersters from a survey conducted on August 23, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 23 survey, 13,910 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.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data set provides locations and values of water quality parameters 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.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 24, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator 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. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016
공공데이터포털
This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 24, 2016 AUV survey. The raster was generated by using a natural neighbors interpolator 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. During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.
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