Exposure potential of marsh units to environmental health stressors in north shore Long Island salt marsh complex, New York

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Robert Welk
Originator: Zafer Defne
Originator: Neil K. Ganju
Originator: Daniel K. Jones
Originator: Timothy J. Reilly
Originator: Kimberly C. Aquino
Originator: Chelsea L. Carbo
Originator: Erika E. Kaufhold
Originator: William M. Benzel
Originator: Shawn C. Fisher
Originator: Dale W. Griffin
Originator: Luke R. Iwanowicz
Originator: Keith A. Loftin
Publication_Date: 20200602
Title:
Exposure potential of marsh units to environmental health stressors in north shore Long Island salt marsh complex, New York
Edition: 1.0
Geospatial_Data_Presentation_Form: Vector Digital Data Set (Polygon)
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9UNOMM8
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: https://doi.org/10.5066/P9UNOMM8
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Robert Welk
Originator: Zafer Defne
Originator: Neil Ganju
Publication_Date: 2020
Title: Coastal wetlands of north shore Long Island, New York
Edition: 1.0
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9UNOMM8
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Suggested citation: Welk, R., Defne, Z., and Ganju, N.K., 2020, Coastal wetlands of north shore Long Island, New York: U.S. Geological Survey data release, https://doi.org/10.5066/P9UNOMM8
Online_Linkage: https://doi.org/10.5066/P9UNOMM8
Online_Linkage:
Description:
Abstract:
This data release contains coastal wetland synthesis products for the geographic region of north shore Long Island, New York. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services.

Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the north shore Long Island salt marsh complex. Exposure potential is calculated with the Sediment-bound Contaminant Resiliency and Response (SCoRR) ranking system (Reilly and others, 2015) designed to define baseline and post-event sediment-bound environmental health stressors. Facilities obtained from the Environmental Protection Agency’s (EPA) Toxic Release Inventory (TRI) and Facility Registry Service (FRS) databases were ranked based on their potential contaminant hazard. Ranks were based in part on previous work by Olsen and others (2013), literature reviews, and an expert review panel. A 2000 meter search radius was used to identify nearby ranked facility locations.
Purpose:
Analysis of environmental health stressors is part of a comprehensive assessment to identify the factors and their weights in determining the vulnerability and resiliency of salt marshes. This polygon dataset facilitates quantifying vulnerability to contaminant hazards in the north shore Long Island salt marsh complex.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2020
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -73.7523079
East_Bounding_Coordinate: -72.7695214
North_Bounding_Coordinate: 40.9750166
South_Bounding_Coordinate: 40.7771079
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:5e8509c5e4b01d50927c870e
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: wetland ecosystems
Theme_Keyword: wetland functions
Theme_Keyword: coastal ecosystems
Theme_Keyword: coastal processes
Theme_Keyword: tides (oceanic)
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: salt marsh
Theme_Keyword: toxicology
Theme_Keyword: vegetation
Theme_Keyword: marsh health
Theme_Keyword: estuary
Theme_Keyword: Long-Term Ecological Research
Theme_Keyword: LTER
Theme_Keyword: tidal range
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: inlandWaters
Theme_Keyword: environment
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Ocean
Place_Keyword: United States
Place_Keyword: New York
Place_Keyword: Suffolk County
Place_Keyword: Nassau County
Place_Keyword: Long Island Sound
Access_Constraints: None
Use_Constraints:
The SCoRR ranks in this dataset are defined for scientific research purposes and should not be used as a sole source of reference for any regulations and policy making. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the source of this information.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Robert J Welk
Contact_Position: Hydrologic Technician
Contact_Address:
Address_Type: mailing address
Address: 2045 Route 112
City: Coram
State_or_Province: NY
Postal_Code: 11727
Country: US
Contact_Voice_Telephone: 631-736-0783 x141
Contact_Electronic_Mail_Address: rwelk@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Graphic that shows the exposure potential to environmental health stressors overlaying Esri basemap.
Browse_Graphic_File_Type: PNG
Native_Data_Set_Environment:
Environment as of Metadata Creation: Microsoft 10 Version 6.2 (Build 9200); Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A)
Cross_Reference:
Citation_Information:
Originator: Timothy J. Reilly
Originator: Daniel K. Jones
Originator: Michael J. Focazio
Originator: Kimberly C. Aquino
Originator: Chelsea L. Carbo
Originator: Erika E. Kaufhold
Originator: Elizabeth K. Zinecker
Originator: William M. Benzel
Originator: Shawn C. Fisher
Originator: Dale W. Griffin
Originator: Luke R. Iwanowicz
Originator: Keith A. Loftin
Originator: William B. Schill
Publication_Date: 2015
Title:
Strategy to evaluate persistent contaminant hazards resulting from sea-level rise and storm-derived disturbances-Study design and methodology for station prioritization
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2015-1188-A
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20151188A
Cross_Reference:
Citation_Information:
Originator: Lisa D. Olsen
Originator: Joshua F. Valder
Originator: Janet M. Carter
Originator: John S. Zogorski
Publication_Date: 2013
Title:
Prioritization of Constituents for National- and Regional-Scale Ambient Monitoring of Water and Sediment in the United States
Series_Information:
Series_Name: Scientific Investigations Report
Issue_Identification: 2012-5218
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: http://pubs.usgs.gov/sir/2012/5218/
Cross_Reference:
Citation_Information:
Originator: NOAA
Publication_Date: 2016
Title: VDatum (v3.5)
Edition: version 3.5
Publication_Information:
Publication_Place: Silver Spring, MD
Publisher: NOAA
Online_Linkage: http://vdatum.noaa.gov
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Water-land boundary and marsh unit boundaries are inherited from accuracy of source data and conceptual marsh units. Exposure potential to environmental health stressors is calculated with the SCoRR strategy for a uniform grid with 0.003 degrees (~300 meters) resolution and resampled at a higher resolution of 0.0003 degrees (~30 meters) prior to averaging over each marsh unit.
Logical_Consistency_Report:
By definition, SCoRR ranks cannot be a negative real number. Final values for each marsh unit were verified to be either zero or a positive real number.
Completeness_Report:
The boundaries of this dataset were created by expanding the outline boundaries of polygons created with a 250 meter exterior buffer around the source data, conceptual marsh units.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Horizontal accuracy for the polygon boundaries is inherited from the source layer, conceptual marsh units, and is considered to be +/- 6 meters. The point cloud used for calculating tidal range with VDatum had a 0.0005 arc degree (~50-meter) resolution that was interpolated over a 0.0001 arc degree raster prior to clipping and calculating the mean value for each marsh unit.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2020
Title: Coastal wetlands of north shore Long Island, New York
Geospatial_Data_Presentation_Form: Vector Digital Data Set (Polygon)
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage:
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2020
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: CMU_NSLI
Source_Contribution: Used conceptual marsh units to delineate marsh unit boundaries.
Process_Step:
Process_Description:
This process step and all subsequent process steps were performed in ArcMap (ver. 10.7.1) using tools from ArcToolbox, unless otherwise stated. For complex operations, names of specific tools used are given in CAPITAL letters (any critical parameters used are given in parentheses, separated by a semicolon, immediately after the tool name). The input and output file names are provided in [square brackets] when necessary. Units for length and area calculations are meters (m) and square meters (m^2) unless otherwise stated.
a) CREATE CONSTANT RASTER(Constant value= 1; Output cell size: 0.003 degrees) that surpasses north shore Long Island boundaries, as defined in the conceptual marsh units layer[CMU_NSLI.shp].
b) RASTER TO POINT to generate an array of points [scorr_pts.shp].
c) Export point coordinates to an Excel table [contPts.xls].
Process_Date: 2019
Source_Produced_Citation_Abbreviation: contPts.xls
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Zafer Defne
Contact_Position: Ocean Scientist
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Rd.
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-458-8700 x2254
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: zdefne@usgs.gov
Process_Step:
Process_Description:
This step follows the SCoRR strategy described by Reilly and others, 2015. Apply SCoRR ranks to the gridded array of points [contPts.xls].
a) Generate a list of facilities of concern from EPA's Toxic Release Inventory (TRI) data, and EPA's Facility Registry Service (FRS) data.
TRI data were downloaded from https://www.epa.gov/toxics-release-inventory-tri-program/tri-basic-data-files-calendar-years-1987-2015 using the drop down menu for the year and state of interest. For this work, 2013 data for the state of New York were used. Each facility was assigned a rank value from 1 to 4 indicating its 'perceived contaminant hazard' based on i) a modified version of ranked contaminants from Olsen et al. 2013 (Reilly and others, 2015; Table 1), or ii) paneled expert opinion following methods outlined in Olsen et al. 2013.
FRS data were downloaded from https://www.epa.gov/frs/frs-query for New York. Each facility was assigned a rank value from 1 to 4 based upon a questionnaire administered to the same expert panel mentioned above. Three attribute fields were utilized to assess the perceived contaminant hazard of each FRS facility: environmental program type, environmental interest type, and site type. Each of these fields provides details about regulations, uses, and potential hazards relevant to each facility.
When relevant, historic storm vulnerabilities were used to weight each ranked FRS and TRI facility. Storm vulnerability datasets included Federal Emergency Management Agency's (FEMA) 100-year flood zones, National Oceanic and Atmospheric Administration’s Sea, Lake, and Overland Surges from Hurricanes (NOAA SLOSH) model-based inundation extents for hurricanes of category 1 to 5 in magnitude, and probabilities of storm impacts based on National Weather Service’s International Best Track Archive for Climate Stewardship (NWS IBTrACS) data. Overlay analysis was used to identify all facilities falling within 1 or more of these storm vulnerabilities. Equation 1 in Reilly and others (2015) was used to then weight each facility's perceived contaminant hazard rank based on the number of intersected storm vulnerabilities.

b) Create a shapefile from the point coordinates [contPts.xls] and DEFINE PROJECTION(Coordinate System=WGS 84) as World Geodetic System 1984.
c) GENERATE NEAR TABLE(Input Features=IN_FID; Near Features=NEAR_FID; Search radius= 2000 m) to identify facilities of concern within 2000 meters of each point. Separate tables were generated for the TRI and FRS facilities. These were then recombined later during the inverse distance weighting procedure to arrive at the final rank at each location.
d) Tables are imported into R software package and joined using the fields 'IN_FID' and 'NEAR_FID' to link facility attributes with each location using near table output.
e) SCoRR rank at each location is calculated using the inverse distance-weighted average rank equation (Reilly and others, 2015; Equation 2) within a search radius of 2000 meters, based on the storm vulnerability-weighted potential contaminant hazard rank for each facility, and the distance to the facility location.
Source_Used_Citation_Abbreviation: contPts.xls
Process_Date: 2016
Source_Produced_Citation_Abbreviation: contPts.csv
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Daniel K. Jones
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical address
Address: 2329 Orton Circle
City: Salt Lake City
State_or_Province: UT
Postal_Code: 84119
Country: USA
Contact_Voice_Telephone: 240-620-7822
Contact_Facsimile_Telephone: 801-908-5001
Contact_Electronic_Mail_Address: dkjones@usgs.gov
Process_Step:
Process_Description:
Remaining process steps were performed by Robert Welk, in ArcMap (ver. 10.7.1) using tools from ArcToolbox, unless otherwise stated.
Establish marsh unit boundaries. DISSOLVE(Dissolve Fields= FID_CMU) features in [CMU_NSLI] based on the attribute identification numbers. FID_CMU is the unique identifier for each marsh unit.
Source_Used_Citation_Abbreviation: CMU_NSLI
Source_Produced_Citation_Abbreviation: mu.shp
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Robert Welk
Contact_Position: Hydrologic Technician
Contact_Address:
Address_Type: mailing and physical address
Address: 2045 NY 112
City: Coram
State_or_Province: NY
Postal_Code: 11727
Country: USA
Contact_Voice_Telephone: 631-736-0783 x141
Contact_Electronic_Mail_Address: welk@usgs.gov
Process_Step:
Process_Description:
Create a raster surface dataset from the feature points.
a) Import [contPts.csv] to ArcMap using MAKE XY EVENT LAYER [scorr.shp]. NoData values are converted to zero at this step.
b) Create a raster surface with inverse distance weighting in Spatial Analyst toolbox. IDW.SpatialAnalyst(Output Cell Size=0.0003 degrees; Power=2; Search Radius=Variable; Number of Points=12) to obtain [scorr_idw.tif].
Source_Used_Citation_Abbreviation: contPts.csv
Process_Date: 2020
Source_Produced_Citation_Abbreviation: scorr_idw.tif
Process_Step:
Process_Description:
Clip the raster to marsh boundaries. A buffer zone is created around the marsh boundaries to facilitate alternative interpolation and clipping options in future studies.
a) Create 250 meter buffer around the marsh polygon [mu.shp] to create a clipping mask [mu_buff250m.shp]. BUFFER(Side type= Full; Method=Geodesic; Dissolve type= All).
b) Clip the raster clipping mask. EXTRACT BY MASK to obtain [scorr_NSLI.tif].
Source_Used_Citation_Abbreviation: mu
Source_Used_Citation_Abbreviation: scorr_idw.tif
Process_Date: 2020
Source_Produced_Citation_Abbreviation: scorr_NSLI.tif
Process_Step:
Process_Description:
PROJECT RASTER(Input raster= scorr_NSLI.tif; Output raster= scorr_NSLI.tif; Input coordinate system= GCS_WGS_1984; Output coordinate system= WGS_1984_Web_Mercator_Auxiliary_Sphere; Resampling technique= Nearest; Output cell size= 30 meters) to obtain [scorr_NSLI.tif].
Source_Used_Citation_Abbreviation: scorr_NSLI.tif
Process_Date: 2020
Source_Produced_Citation_Abbreviation: scorr_NSLI.tif
Process_Step:
Process_Description:
Calculate values for each marsh unit. a) Clip the raster with the marsh units polygon by using EXTRACT BY MASK(Cell Size=3 m) to obtain [mu_scorr_idw.tif].
b) ZONAL STATISTICS AS TABLE(Feature Zone Data=[mu]; Value Raster=[mu_scorr_idw.tif]; Output Table=mu_scorr_table; Statistics type=ALL)
c) ADD JOIN(Layer name=[mu]; Input join field=FID_CMU; Join Table=mu_scorr_table; Output join field=FID_CMU) to marsh units layer based on the "FID_CMU" field
d) Export dataset as a shapefile [mu_scorr_NSLI.shp] and keep the 'MIN", 'MAX', "MEAN" and "STD" fields from the join operation.
Source_Used_Citation_Abbreviation: mu
Source_Used_Citation_Abbreviation: scorr_NSLI.tif
Process_Date: 2020
Source_Produced_Citation_Abbreviation: mu_SCoRR_NSLI.shp
Process_Step:
Process_Description:
Added keywords section with USGS persistent identifier as theme keyword.
Process_Date: 20200806
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross
Contact_Position: Marine Geologist
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Contact_Voice_Telephone: 508-548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 1385
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name:
WGS 1984 Web Mercator Auxiliary Sphere (Esri Full Name: WGS_1984_Web_Mercator_Auxiliary_Sphere)
Mercator:
Standard_Parallel: 0.0
Longitude_of_Central_Meridian: 0.0
False_Easting: 0.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.6096
Ordinate_Resolution: 0.6096
Planar_Distance_Units: Meter
Geodetic_Model:
Horizontal_Datum_Name: D_WGS_1984
Ellipsoid_Name: WGS_1984
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: mu_scorr_NSLI
Entity_Type_Definition:
Attribute information associated with the SCoRR ranks projected on to the conceptual marsh units of the north shore Long Island salt marsh complex.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: FID_CMU
Attribute_Definition:
Sequential unique whole numbers that represents the identification number for each conceptual marsh unit.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 37
Range_Domain_Maximum: 1778
Attribute:
Attribute_Label: MIN
Attribute_Definition:
Minimum value of Sediment-bound Contaminant Resiliency and Response (SCoRR) rank within a marsh unit. Values of -9999 indicate that no SCoRR rank is available for the marsh unit.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.242807
Range_Domain_Maximum: 11.325566
Attribute_Units_of_Measure: None
Attribute:
Attribute_Label: MAX
Attribute_Definition:
Maximum value of SCoRR rank within a marsh unit. Values of -9999 indicate that no SCoRR rank is available for the marsh unit.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.267476
Range_Domain_Maximum: 35.177608
Attribute_Units_of_Measure: None
Attribute:
Attribute_Label: MEAN
Attribute_Definition:
Mean value of SCoRR rank within a marsh unit. Values of -9999 indicate that no SCoRR rank is available for the marsh unit.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.246919
Range_Domain_Maximum: 11.325566
Attribute_Units_of_Measure: None
Attribute:
Attribute_Label: STD
Attribute_Definition:
Standard deviation of SCoRR rank within a marsh unit. Values of -9999 indicate that no SCoRR rank is available for the marsh unit.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 4.668032
Attribute_Units_of_Measure: None
Attribute:
Attribute_Label: FLG
Attribute_Definition:
Marsh unit flag indicating anomalous marsh units based on elevation, surface area, and absence of vegetation. FLG values indicate: (-1) no vegetated area in the marsh unit; (-10) marsh unit elevation higher than the 99.8 percentile; (-100) marsh unit elevation less than 0.2 percentile; (-200) greater than 25% of marsh unit has hydroflattened area (and has -9999 as its elevation value); (-1000) marsh unit surface area less than 900 m^2; (-10000) mean tidal range of marsh unit is extrapolated; and (0) no flag. Combination of negative values indicate combination of flags. For example, -1001 indicates no vegetated area and area less than 900 m^2.
Attribute_Definition_Source: USGS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -11201
Range_Domain_Maximum: 0
Attribute_Units_of_Measure: None
Overview_Description:
Entity_and_Attribute_Overview:
In this dataset, exposure potential to environmental health stressors calculated with the SCoRR strategy is interpolated over the salt marsh units in the north shore Long Island salt marsh complex. A higher SCoRR rank indicates higher exposure potential to environmental health stressors. Raster cells that do not have a facility within a 2000 meter proximity are assigned a SCoRR rank of zero prior to clipping to the processing extent. Decimal values in the attribute table are a result of double precision calculations while significant digits are considered in defining the attribute measurement resolutions. Therefore, the smallest unit increment for exposure potential (SCoRR) values can be assumed to be a practical value such as 0.01.
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
mu_SCoRR_NSLI.shp (and other shapefile components), browse graphic (SCoRR.png), and CSDGM metadata in XML format.
Distribution_Liability:
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Not for navigational use.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Version_Number: ArcGIS 10.7.1
Format_Information_Content: This zipped file contains a shapefile and associated metadata.
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link in network resources is to the main page of the data release. The second link points to a landing page with metadata and data. The third link is to download data directly.
Digital_Form:
Digital_Transfer_Information:
Format_Name: WMS
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The link in network resources points to the Web Mapping Services (WMS) end point.
Digital_Form:
Digital_Transfer_Information:
Format_Name: WFS
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The link in network resources points to the Web Feature Services (WFS) end point.
Fees: None. No fees are applicable for obtaining the data set.
Metadata_Reference_Information:
Metadata_Date: 20200806
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey, Northeast Region
Contact_Person: Robert J Welk
Contact_Position: Hydrologic Technician
Contact_Address:
Address_Type: mailing address
Address: 2045 Route 112
City: Coram
State_or_Province: NY
Postal_Code: 11727
Country: US
Contact_Voice_Telephone: 631-736-0783 x141
Contact_Electronic_Mail_Address: rwelk@usgs.gov
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

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