Metadata: Identification_Information: Citation: Citation_Information: Originator: Kate V. Ackerman Originator: Zafer Defne Originator: Neil K. Ganju Originator: Daniel K. Jones Originator: Brennon Peterson Originator: Stephanie Gordon Originator: Brianna Williams Publication_Date: 2024 Title: Exposure potential of marsh units to environmental health stressors in Connecticut salt marshes Edition: 1.0 Geospatial_Data_Presentation_Form: vector digital dataset (polygon) Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96QND48 Publication_Information: Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA Publisher: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program Online_Linkage: https://doi.org/10.5066/P96QND48 Online_Linkage: https://www.sciencebase.gov/catalog/item/65dcf88bd34eb64889e19e89 Larger_Work_Citation: Citation_Information: Originator: Kate V. Ackerman Originator: Zafer Defne Originator: Neil K. Ganju Publication_Date: 2023 Title: Geospatial characterization of salt marshes in Connecticut (ver. 2.0, April 2024 Edition: 2.0 Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96QND48 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Ackerman, K.V., Defne, Z., and Ganju, N.K., 2023, Geospatial characterization of salt marshes in Connecticut (ver. 2.0, April 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P96QND48. Online_Linkage: https://doi.org/10.5066/P96QND48 Online_Linkage: https://www.sciencebase.gov/catalog/item/64c406bdd34e70357a33d413 Description: Abstract: This data release contains coastal wetland synthesis products for the state of Connecticut. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, wave power, and exposure potential to environmental health stressors are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. 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. This project has been funded in part by the United States Environmental Protection Agency under assistance agreement DW-014-92531201-1 to N. Ganju. Purpose: This dataset displays the exposure potential to environmental health stressors in Connecticut salt marshes. Health stressors include natural and anthropogenic contaminants, pathogens, and viruses 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. 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. Exposure potential in Connecticut’s salt marshes was calculated with the Sediment-bound Contaminant Resiliency and Response (SCoRR) ranking system designed to define baseline and post-event sediment-bound environmental health stressors (Reilly and others, 2015). Industrial facilities obtained from the Environmental Protection Agency's (EPA) Toxic Release Inventory (TRI) database were ranked based on their potential contaminant hazard. Ranks were based in part on previous work by Olsen and others (2013) and literature reviews. A 2000-meter search radius was used to identify nearby ranked facility locations. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2024 Currentness_Reference: publication date Status: Progress: Complete Maintenance_and_Update_Frequency: None Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -73.658477 East_Bounding_Coordinate: -71.831904 North_Bounding_Coordinate: 41.532199 South_Bounding_Coordinate: 40.983874 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: oceans Theme_Keyword: inlandWaters Theme_Keyword: environment 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: Theme_Keyword_Thesaurus: None Theme_Keyword: salt marsh Theme_Keyword: toxicology Theme_Keyword: marsh health Theme_Keyword: estuary Theme_Keyword: SCoRR Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:65dcf88bd34eb64889e19e89 Place: Place_Keyword_Thesaurus: Common Geographic Areas Place_Keyword: United States Place_Keyword: Connecticut 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_Person_Primary: Contact_Person: Kate Ackerman Contact_Organization: U.S. Geological Survey Contact_Position: Geologist Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-548-8700 x2331 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: kackerman@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/65dcf88bd34eb64889e19e89/?name=SCoRR_CT_Browse.png&allowOpen=true Browse_Graphic_File_Description: Graphic that shows the exposure potential to environmental health stressors in CT salt marshes. Browse_Graphic_File_Type: PNG Native_Data_Set_Environment: Environment as of Metadata Creation: Microsoft 10; Esri ArcGIS Pro (version 2.8.8) 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/ Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: Water-land boundary and marsh unit boundaries are inherited from accuracy of the 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 boundaries of the source data (conceptual marsh units) with a 250-meter exterior buffer. 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. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Kate V. Ackerman Originator: Zafer Defne Originator: Neil K. Ganju Publication_Date: 2023 Title: Conceptual marsh units of Connecticut salt marshes (in: Geospatial characterization of salt marshes in Connecticut) Edition: 1.0 Geospatial_Data_Presentation_Form: vector digital dataset (polygon) Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96QND48 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: This dataset (Conceptual marsh units of Connecticut salt marshes) is within the larger data release (Geospatial characterization of salt marshes in Connecticut). The first link below is to the conceptual marsh units data and the second link is to the data release. Online_Linkage: https://www.sciencebase.gov/catalog/item/64c40893d34e70357a33d41f Online_Linkage: https://doi.org/10.5066/P96QND48 Type_of_Source_Media: Digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2023 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: CMU_CT Source_Contribution: Conceptual marsh units, generated as part of this data release, were used to delineate marsh unit boundaries. Process_Step: Process_Description: This process step and all subsequent process steps were performed in ArcGIS Pro (ver. 2.8.8), unless otherwise stated. For simple operations the name of the geoprocessing tool used is given in capital letters; for complex operations, the name of the geoprocessing tool used is given in capital letters and 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 unless otherwise stated. a) CREATE CONSTANT RASTER(Constant value= 1; Output cell size: 0.003 degrees) that surpasses the Connecticut marsh unit boundaries by 250 m, as defined in the conceptual marsh units layer [CMU_CT.shp]. b) RASTER TO POINT to generate an array of points [scorr_pts.shp]. c) Export point coordinates to an Excel table [contPts.xlsx]. Process_Date: 2023 Source_Produced_Citation_Abbreviation: contPts.xlsx Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Kate Ackerman Contact_Organization: U.S. Geological Survey Contact_Position: Geologist Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-548-8700 x2331 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: kackerman@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.xlsx]. a) Generate a list of facilities of concern from EPA's Toxic Release Inventory (TRI) data. TRI data were downloaded from https://www.epa.gov/toxics-release-inventory-tri-program/tri-basic-data-files-calendar-years-1987-present using the drop-down menu for the year and state of interest. For this work, 2022 data for the state of Connecticut were used. Each facility was assigned a rank value from 1 to 4 indicating its 'perceived contaminant hazard' based on a modified version of ranked contaminants from Olsen and others (2013) as detailed in Reilly and others (2015; Table 1). b) Create a shapefile from the point coordinates [contPts.xlsx] 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. 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 potential contaminant hazard rank for each facility, and the distance to the facility location. Source_Used_Citation_Abbreviation: contPts.xlsx Process_Date: 2024 Source_Produced_Citation_Abbreviation: scorr.shp 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 Kate Ackerman. Establish marsh unit boundaries. DISSOLVE(Dissolve Fields= FID_CMU) features in [CMU_CT] based on the attribute identification numbers. FID_CMU is the unique identifier for each marsh unit. Source_Used_Citation_Abbreviation: CMU_CT Process_Date: 2024 Source_Produced_Citation_Abbreviation: mu.shp Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Kate Ackerman Contact_Organization: U.S. Geological Survey Contact_Position: Geologist Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-548-8700 x2331 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: kackerman@usgs.gov Process_Step: Process_Description: Create a raster surface dataset from the feature points. a) PROJECT [scorr.shp] to GCS NAD 1983. b) Create a raster surface with inverse distance weighting. IDW (Input point features: [scorr.shp]; Output Cell Size=0.0003 degrees; Power=2; Search Radius=Variable; Number of Points=12) to obtain [scorr_idw.tif]. Source_Used_Citation_Abbreviation: scorr.shp Process_Date: 2024 Source_Produced_Citation_Abbreviation: scorr_idw.tif Process_Step: Process_Description: Clip the raster to marsh unit boundaries, buffered by 250 meters. 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.shp Source_Used_Citation_Abbreviation: scorr_idw.tif Process_Date: 2024 Source_Produced_Citation_Abbreviation: scorr_CT.tif Process_Step: Process_Description: PROJECT RASTER(Input raster= scorr_CT.tif; Output raster= scorr_CT.tif; Input coordinate system= GCS_NAD_1983; Output coordinate system= WGS_1984_Web_Mercator_Auxiliary_Sphere; Resampling technique= Nearest; Output cell size= 30 meters) to obtain [scorr_CT.tif]. Source_Used_Citation_Abbreviation: scorr_CT.tif Process_Date: 2024 Source_Produced_Citation_Abbreviation: scorr_CT.tif Process_Step: Process_Description: Calculate values for each marsh unit. a) Clip the raster [scorr_CT.tif] by 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.shp]; Value Raster=[mu_scorr_idw.tif]; Output Table=mu_scorr_table; Statistics type=ALL) c) JOIN SCoRR fields (Min, Max, Mean, Std) to the marsh units (Layer name=[mu.shp]; Input join field=FID_CMU; Join Table=mu_scorr_table; Output join field=FID_CMU). Source_Used_Citation_Abbreviation: mu.shp Source_Used_Citation_Abbreviation: scorr_CT.tif Process_Date: 2024 Source_Produced_Citation_Abbreviation: mu_SCoRR_CT.shp 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: 2499 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_CT Entity_Type_Definition: Table containing attribute information associated with the dataset. 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: Feature geometry. Marsh units are polygon features. Attribute: Attribute_Label: FID_CMU Attribute_Definition: Unique whole numbers used to identify each conceptual marsh unit. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2498 Attribute: Attribute_Label: MIN Attribute_Definition: Minimum value of Sediment-bound Contaminant Resiliency and Response (SCoRR) rank within a marsh unit. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 33.40678 Attribute_Units_of_Measure: None Attribute: Attribute_Label: MAX Attribute_Definition: Maximum value of SCoRR rank within a marsh unit. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 67.35318 Attribute_Units_of_Measure: None Attribute: Attribute_Label: MEAN Attribute_Definition: Mean value of SCoRR rank within a marsh unit. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 36.12451 Attribute_Units_of_Measure: None Attribute: Attribute_Label: STD Attribute_Definition: Standard deviation of SCoRR rank within a marsh unit. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 11.062928 Attribute_Units_of_Measure: None Attribute: Attribute_Label: FLG Attribute_Definition: Marsh unit flag indicating anomalous marsh units based on absence of vegetation, elevation, surface area and tidal range extrapolation. 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 the 0.2 percentile; (-200) greater than 25 percent of the marsh unit elevation is hydro-flattened; (-1000) marsh unit surface area less than 900 square meters; (-10000) mean tidal range of marsh unit is extrapolated; and (0) no flag. Combination of negative values indicates a combination of flags. For example, -1001 indicates no vegetated area and area less than 900 square meters. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -11200 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 Connecticut salt marshes. 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: USGS 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_CT.zip (ZIP file contains the shapefile mu_SCoRR_CT.shp and the additional shapefile components), a browse graphic (SCoRR_CT_Browse.png), and FGDC CSDGM metadata in xml format. Distribution_Liability: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. 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 Pro 2.8.8 Format_Information_Content: This dataset contains a polygon shapefile and its components and metadata in xml format. Transfer_Size: 8 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://doi.org/10.5066/P96QND48 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/65dcf88bd34eb64889e19e89 Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/65dcf88bd34eb64889e19e89 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: Network_Address: Network_Resource_Name: https://www.sciencebase.gov/catalogMaps/mapping/ows/65dcf88bd34eb64889e19e89?service=wms&request=getcapabilities&version=1.3.0 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: Network_Address: Network_Resource_Name: https://www.sciencebase.gov/catalogMaps/mapping/ows/65dcf88bd34eb64889e19e89?service=wfs&request=getcapabilities&version=1.0.0 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: 20240402 Metadata_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Kate V. Ackerman Contact_Organization: U.S. Geological Survey Contact_Position: Geologist Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-548-8700 x2331 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov Contact_Instructions: The metadata contact email address is a generic address in the event the person is no longer with USGS. Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998