Arnell S. Forde 20231101 Vector Digital Dataset (Polyline) Arnell S. Forde Nancy T. DeWitt Emily A. Wei Jennifer L. Miselis 20231101 U.S. Geological Survey data release doi:10.5066/P9PY4RR0 St. Petersburg, Florida U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center https://doi.org/10.5066/P9PY4RR0 From April 29 through May 2, 2022, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on barrier island evolution and sediment transport offshore of Seven Mile Island, New Jersey. Geophysical data were collected as part of the Coastal Sediment Availability and Flux project. This shapefile represents a line dataset of field activity number (FAN) 2022-309-FA chirp tracklines. To aid in the registering of digital chirp seismic reflection data collected during USGS FAN 2022-309-FA. Additional survey and data details are available from the USGS Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/fan_info.php?fan=2022-309-FA and in the Field Activity Collection System (FACS) and geophysical logs, which are included in the download file, 2022-309-FA_logs.zip (Forde and others, 2023). 20220429 20220502 ground condition Complete None planned -74.781167 -74.685219 39.106286 39.008794 USGS Metadata Identifier USGS:53934158-c1e9-4931-acff-a3f7150b15a4 ISO 19115 Topic Category geoscientificInformation oceans location USGS Thesaurus sub-bottom profiling marine geology geology coastal processes navigational data geospatial datasets None trackline barrier island mapping seismic reflection 2022-309-FA chirp Common Geographic Areas New Jersey North Atlantic None The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research. Arnell S. Forde U.S. Geological Survey Geologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA 727-502-8000 aforde@usgs.gov Data collection and processing were performed by Nancy DeWitt, Emily Wei, Jennifer Miselis, and Arnell Forde of the USGS St. Petersburg Coastal and Marine Science Center. Environment as of Metadata Creation: Microsoft Windows 10 Version 6.2 (Build 9200); Environmental Systems Research Institute (Esri) ArcGIS 10.8.2. This dataset is from one field activity with consistent instrument calibrations. A total of 54 seismic lines were collected during this field activity. Both subbottom and bathymetry data were collected aboard a towed seismic sled, which was outfitted with a Spectra Precision SP90M global navigation satellite system antenna (GNSS) receiver (to collect position information) and a single-beam echosounder. Differential positioning was obtained through post-processing the base station (established on National Geodetic Survey benchmark Permanent Identifier JU0450) data to the rover located on the sled. As the subbottom profile data were acquired, the position of the vessel was continuously determined by an SP90M GNSS receiver. Positions from the SP90M were recorded and written to the seismic trace headers every 0.20 seconds. The approximately 18-meter offset between the chirp and GPS antenna has not been accounted for in the comma-delimited American Standard Code for Information Interchange (ASCII) navigation files and trackline map. Navigation files were extracted from the seismic trace headers using Seismic Unix release 44 software, processed with PROJ.5.1.0 software to generate Universal Transverse Mercator (UTM) coordinates from latitude and longitude coordinates (World Geodetic System of 1984, WGS84), and then saved as ASCII text files in comma-separated values (CSV) format. 20220929 Arnell S. Forde U.S. Geological Survey Geologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA 727-502-8000 aforde@usgs.gov The reformatted text files were imported into Esri ArcMap 10.8 software to produce a geographic representation of the subbottom profile tracklines collected within the survey area. The PointsToLine script (located in the ArcToolbox) was used to create a shapefile in which individual chirp shotpoints were connected to form tracklines. 20230405 Arnell S. Forde U.S. Geological Survey Geologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA 727-502-8000 aforde@usgs.gov Vector String 54 0.0197524413 0.0197524413 Decimal degrees WGS_1984 WGS_84 6378137.0 298.257223563 2022-309-FA_trkln.shp Attribute Table Table containing attribute information associated with the dataset. U.S. Geological Survey FID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Coordinates defining the features. Line Trackline name U.S. Geological Survey Line numbers were automatically assigned by the EdgeTech 512i chirp topside unit during data acquisition and are composed of a 3-digit Hypack trackline number and a 4-digit timestamp corresponding to the line's start time. The naming convention used for each subbottom line is as follows: x_env_bp, where 'x' is a 7-digit number indicating a specific trackline (for example, 002_1741) and 'env_bp' denotes that the seismic traces were output as an envelope and a bandpass filter was applied. A transit line (029_2041_transit_env_bp) had its file name manually entered and therefore did not follow the aforementioned convention. Image Graphics Interchange Format (GIF) image name U.S. Geological Survey This attribute field provides the name of the subbottom profile image (.gif) that is associated with each trackline as a hyperlinked GIF; a folder containing all these .gif files, named "images", is included in 2022-309-FA_gis.zip. Navigation files are available as ASCII delimited text files in CSV format. The final navigation files are provided in 2022-309-FA_nav.zip (Forde and others, 2023) and represent the reprojected survey shotpoint navigation, 1,000-shot-interval locations, and start of line files. The entity and attribute information provided here describes the tabular data associated with the shapefile, 2022-309-FA_trkln.shp. Please review the detailed descriptions that are provided (the individual attribute descriptions) for information on the values that appear as fields/table entries of the dataset. The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information. Arnell S. Forde U.S. Geological Survey Geologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA (727) 502-8000 aforde@usgs.gov This publication was prepared by an agency of the United States Government. Although these data were processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Shapefile, MXD, KMZ, GIF 2022-309-FA_gis.zip contains the survey navigation data represented geospatially using a Google Earth KMZ, Esri map document (MXD), shapefiles, and a folder of processed subbottom profile images (accessible via hyperlinks included in the MXD). This metadata record describes the trackline locations provided in 2022-309-FA_trkln.shp, which is one of three Esri shapefiles included in the geographic information system (GIS) data ZIP file. Winzip or 7zip 30.6 https://coastal.er.usgs.gov/data-release/doi-P9PY4RR0/data/2022-309-FA_gis.zip None This shapefile was created for use with Esri ArcGIS 10.8 software. It may also be viewed with Esri public domain software Explorer for ArcGIS, GeoMapApp 3.6.15 (http://www.geomapapp.org, 2023), or other GIS software capable of importing the data. 20230621 Arnell S. Forde U.S. Geological Survey Geologist Mailing and physical

600 4th Street South

St. Petersburg FL 33701 USA (727) 502-8000 aforde@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998