Exposure potential of marsh units to environmental health stressors in Connecticut salt marshes

Metadata also available as - [Questions & Answers] - [Parseable text] - [XML]

Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

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

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P96QND48/mu_SCoRR_CT.html>