U.S. Geological Survey 20210422 1.0 vector and tabular digital data data release DOI:10.5066/P9C3J33K Woods Hole Coastal and Marine Science Center, Woods Hole, Massachusetts U.S. Geological Survey, Coastal and Marine Hazards and Resources Program https://doi.org/10.5066/P9C3J33K https://www.sciencebase.gov/catalog/item/5f5e36c882ce3550e3bfed9a Seth D. Ackerman Walter A. Barnhardt Charles R. Worley Alex R. Nichols Wayne E. Baldwin Steve Evert 2021 1.0 data release DOI:10.5066/P9C3J33K Reston, VA U.S. Geological Survey Suggested citation: Ackerman, S.D., Barnhardt, W.A., Worley, C.R., Nichols, A.R., Baldwin, W.E., and Evert, S., 2021, High-resolution geophysical and geological data collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activities 2018-001-FA and 2018-049-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P9C3J33K. https://doi.org/10.5066/P9C3J33K https://www.sciencebase.gov/catalog/item/5ea2f05c82cefae35a192715 The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system. This dataset includes the locations and grain-size analysis results of surficial sediments collected with a modified Van Veen grab on the mini-SEABed Observation and Sampling System (SEABOSS) aboard the Research Vessel (R/V) Petrel during USGS field activity 2018-049-FA (October 22-23). The sediments were analyzed at the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center using the HORIBA LA-960 laser diffraction analyzer and sieving of the >= -2-phi fraction. Bottom still images and video were also taken at most sampling sites (see shapefiles 2018-049-FA_photos.shp and 2018-049-FA_VideoLines.shp available from the larger work citation. The sampling data were collected to ground truth (verify) acoustic data collected during USGS field activity 2018-001-FA. The sampling data were collected to ground truth (verify) acoustic data collected during USGS field activity 2018-001-FA. Additional information on the field activities associated with this project are available at https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-001-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-049-FA. 20181022 20181023 ground condition Complete None planned -74.45935057 -74.20287643 39.55655412 39.38759603 None U.S. Geological Survey USGS Woods Hole Coastal and Marine Science Center WHCMSC Coastal and Marine Hazards and Resources Program CMHRP Department of the Interior DOI Stockton University field activity number 2018-001-FA field activity number 2018-049-FA R/V Petrel ground-truth seafloor samples sediment samples sediment data surficial sediment classification stations seafloor sea floor marine geology sediments mini-SEABOSS SEABOSS SEABed Observation and Sampling System Van Veen grab sampler HORIBA LA-960 laser diffraction analyzer gravel sand silt clay CSV shapefile USGS Thesaurus grab sampling grain-size analysis marine geology sea-floor characteristics ISO 19115 Topic Category oceans geoscientificInformation location USGS Metadata Identifier USGS:5f5e36c882ce3550e3bfed9a None United States of America New Jersey Little Egg Inlet Beach Haven Long Beach Island Holgate Forsythe Wildlife Refuge None sea floor seafloor seabed None 2018 None Public domain data from the U.S. Government are freely distributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset. Seth Ackerman U.S. Geological Survey Geologist mailing and physical address

384 Woods Hole Rd.

Woods Hole MA 02543-1598 USA 508-548-8700 x2315 508-457-2310 sackerman@usgs.gov https://www.sciencebase.gov/catalog/file/get/5f5e36c882ce3550e3bfed9a/?name=2018-049-FA_samples_browse.jpg Image of sediment sample locations off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA. JPEG D. Blackwood K. Parolski 2001 1.0 Sea Technology v. 42, no. 2, p. 39-43 Arlington, VA Compass Publications, Inc. F.P. Shepard 1954 Journal of Sedimentary Petrology v. 24, no. 3., p. 151-158 Tulsa, OK Society of Economic Paleontologists and Mineralogists https://doi.org/10.1306/D4269774-2B26-11D7-8648000102C1865D J.S. Schlee J. Webster 1967 Sedimentology v. 8, no. 1., p. 45-53 Amsterdam, The Netherlands Elsevier Publishing Company https://doi.org/10.1111/j.1365-3091.1967.tb01305.x J.S. Schlee 1973 Professional Paper 529-L Reston, VA U.S. Geological Survey https://doi.org/10.3133/pp529L L.J. Poppe K.Y. McMullen S.J. Williams V.F. Paskevich 2014 3.0 Open-File Report 2005-1001 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20051001 All attributes were evaluated during data processing as standard quality control to ensure attributes contain accurate and relevant information and values. Due to rounding, the sum of the aggregate class percentages (e.g., GRAVEL (wt%), GRAVEL_PCT, etc.) and the sum of the phi fraction percentages (e.g., PHI_11, PHI_10, etc.) may not always add up to exactly 100.000%. The sediment samples were all collected with the same modified Van Veen grab sampler mounted on the mini-SEABOSS. This dataset is based on the final Microsoft Excel spreadsheet received after analysis in the Woods Hole Coastal and Marine Science Center's Sediment Analysis Laboratory. These data were checked but no modifications or corrections have been made to the file. All 70 sampling sites were occupied during USGS field activity 2018-049-FA; however, physical sediment samples were only collected at 68 of the 70 sites. There is no sample location for sites 2018-049-FA-026 and 2018-049-FA-047. Sediment samples were only attempted in areas where collecting a sample would not damage the SEABOSS; therefore, no samples were collected in areas with a cobble, boulder, or rocky seabed, as identified in real time using the topside live video feed. Samples were also not attempted if the current was too strong or if the sampler accidentally tripped earlier in the deployment. Each deployment of the sampler is generally considered a unique site; however, three sites (2018-049-FA-005, 2018-049-FA-016, 2018-049-FA-064) had two separate deployments each. The sediment sample locations for these three sites are from the second deployment when a grab sample was successfully collected. Ten samples were randomly selected by the Sediment Lab technician and run as replicates using the laser diffraction analyzer for internal testing purposes. The replicate results are not included in this publication. The R/V Petrel's Differential GPS (DGPS) system supplied navigation for survey 2018-049-FA. The GPS was set to receive fixes at a one-second interval in geographic coordinates (World Geodetic System of 1984 [WGS 84]). The recorded position of each sediment sample location is the position of the GPS antenna on the survey vessel, located on the aft starboard side of the wheelhouse, not the location of the SEABOSS sampler. The antenna was located approximately 3 meters from the deployment point of the sampler. No layback or offset was applied to the recorded position. In addition, the sampler may drift away from the survey vessel when deployed to the sea floor. Based on the various sources of horizontal offsets, a conservative estimate of the horizontal accuracy of the bottom image locations is 5-7 meters. The depths recorded for each sample are approximate and were derived from preliminary bathymetry from the geophysical survey 2018-001-FA. U.S. Geological Survey Unpublished Material tabular digital data disc 20181022 20181023 ground condition of field activity 2018-049-FA: 20181022-20181023 Sediment samples and raw navigation files Bottom imagery was acquired using the mini-SEABOSS. The observations from still and video cameras and the sediment data are used to explore the nature of the sea floor and, in conjunction with high-resolution geophysical data, to make interpretive maps of sedimentary environments and validate acoustic remote sensing data. This configuration of the mini-SEABOSS incorporates a downward-looking SeaViewer HD video camera with a topside feed, two GoPro HERO4 Black cameras recording still images (one was attached to the SEABOSS frame another was extended on a removable pole that was forward of the SEABOSS approximately 1 meter in hopes of getting a clearer, unobstructed view of the seabed), a modified Van Veen sediment grab sampler, and lights to illuminate the seabed for video and photographs. The elements of this particular SEABOSS system are held within a stainless-steel frame that measures 0.9 x 0.9 x 1.25 meters. The frame has two stabilizer fins that orient the system as it drifts over the seabed. Two red lasers were set 20 centimeters apart (both as they are mounted on the SEABOSS frame and as seen in photographs and video on the seabed) for scale measurements. The red laser dots can usually be seen in the imagery depending on the bottom type and distance to the sea floor. The R/V Petrel occupied one of the target stations and the SEABOSS was deployed off the vessel's A-frame on the stern of the ship. The winch operator lowered the sampler until the sea floor was observed in the topside live video feed. The vessel and sampler then drifted with wind and current for up to a few minutes to ensure a decent image with a clear view of the sea floor was acquired. Usually at the end of a short drift, the winch operator lowered the Van Veen sampler until it rested on the sea floor. When the system was raised, the Van Veen sampler closed and collected a sample as it was lifted off the sea floor. The sampler was recovered to the deck of the survey vessel where a subsample was taken for analysis at the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center. The GoPro camera time were set to UTC; calibration photographs with the navigation system indicate that the camera time were off by an average of 5 seconds from the GPS time, so the time offsets were corrected during the geotagging process. During some of the survey, the seabed turbidity made it such that no usable images were able to be acquired. In these cases, brief glimpses of the sea floor may be visible in the coincident video files. Bottom video was recorded from the downward-looking camera directly to hard drives using an Odyssey7 video recorder. The image dimensions of the GoPro photos are 4,000 x 3,000 pixels. The imaged area is most often within 0.5 to 1.25 meters from left to right. DGPS navigation from the R/V Petrel's Hemisphere VS330 GPS receiver was logged to the ship's HYPACK computer (HYPACK version 2017a) and, as a backup, through ArcGIS using the ArcMap GPS extension. The main source of navigation data was the ship's HYPACK files. Seventy stations were occupied aboard the R/V Rafael during USGS survey 2018-049-FA with the mini-SEABOSS (Blackwood and Parolski, 2001). The mini-SEABOSS was equipped with a Van Veen grab sampler, two GoPro HERO4 Black digital cameras, and a downward-looking video camera. Physical sediment samples were collected at 68 of the 70 sampling sites. Sediment samples were only attempted in areas where collecting a sample would not damage the mini-SEABOSS; therefore, no samples were collected in areas with a cobble, boulder, or rocky seabed, as identified in real time using the top-side live video feed. At two sites (2018-049-FA-026 and 2018-049-FA-047), a sample was attempted but was not successfully collected. The sediment sample collection times were recorded in the survey log when the sampler was lifted from the seabed (the Van Veen sampler closed and collected a sample as it was lifted off the sea floor). These manually recorded times would later be used to derive the sample location. Once the sampler was recovered on deck, a subsample was taken for grain-size analysis at the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center. This process step and all subsequent steps were performed by the same person unless otherwise noted. 20181023 Sediment samples Survey log Seth Ackerman U.S. Geological Survey Geologist mailing and physical address

384 Woods Hole Rd.

Woods Hole MA 02543-1598 USA 508-548-8700 x2315 508-457-2310 sackerman@usgs.gov Differential GPS (DGPS) navigation from the ship's receiver was logged through HYPACK navigation software and in ArcGIS using the ArcMap GPS extension. The DGPS was set to receive fixes at a one-second interval in geographic coordinates (WGS 84). Dates and times were recorded in Coordinated Universal Time (UTC). Sediment sample locations were determined by matching the sampling time recorded in the survey log with the time in the navigation logs using the Python Notebook Grabs_LatLong_NJ2018_HYPACK.ipynb. Approximate depth was derived by extracting the depth values from the preliminary bathymetry data collected during USGS field activity 2018-001-FA (2018001FA_Sept2018_4m.tiff) in QGIS (version 3.4) the Point Sampling Tool plugin. 20181113 Survey log Processed HYPACK navigation files Sediment sample submission spreadsheet Samples submitted to the sediment analysis laboratory for grain size analysis using the Horiba laser diffraction unit (LA-960) and sieving of the ≥ -2 phi fraction are assigned unique analysis identifiers (ANALYSIS_ID) and divided into batches of no more than 30 samples. Each batch is entered into a Microsoft Excel data entry spreadsheet (LD Worksheet Template_xxxx.xlsx, where xxxx is the identifier assigned to the sample submission) to record the initial and dried sample weights, as well as the sieved coarse fraction weights. Each batch is also entered into macro-enabled Microsoft Excel data entry spreadsheets (GrainSizeWorksheet_LD1-30_xxxx(batch_yy).xlsm or GrainSizeWorksheet_LD31-600_xxxx(batch_yy).xlsm, where xxxx is the identifier assigned to the sample submission, 'LD1-30' and 'LD31-60' refer to the pre-labeled and weighed glass laser diffraction vials the samples will be run in, and 'batch_yy' refers to the sample batch) to record the measurement data coming from the laser diffraction unit and incorporate the initial, dried, and sieved weights. About 10-15 grams of wet sediment are placed in a pre-weighed beaker and the gross weight is recorded. The sample is wet sieved through a 4 mm (No. 5) sieve. If there is any coarse fraction remaining in the sieve, the coarse material is oven dried at 100°C in a pre-weighed beaker and weighed again when dry. This coarse fraction is dry sieved to determine the individual weights of the -2 to -5 phi fractions, and the weights are recorded in the data entry spreadsheet LD Worksheet Template_xxxx.xlsx. The fine fraction in water is collected in a pre-labeled and weighed glass laser diffraction vial. If there is any coarse fraction remaining in the sieve from wet sieving, this vial is also oven dried at 100°C and weighed when dry. If there is no coarse fraction remaining from wet sieving, the sample can proceed directly to processing for analyses by the Horiba laser diffraction unit (LA-960). Fine fractions ready for analysis by the Horiba laser diffraction unit are rehydrated with distilled water if they've been dry. Fifteen (15) ml of pre-mixed 40 g/l sodium hexametaphosphate [(NaPO3)6] are added to each sample. If the height of the fluid in the laser diffraction vial is less than 5 cm, more distilled water is added to raise the level to no more than 8 cm in the vial. The samples are gently stirred, covered, and allowed to soak for at least 1 hour (for samples that were not dried) up to 24 hours (for samples that were dried). Soaked vials are placed into an ultrasonic bath and run for 10 minutes at a frequency of 37 Hz with a power level of 100. If the samples appear to be fully disaggregated, they are placed into pre-determined autosampler locations, and are run using the Horiba LA-960 for Windows software to get the fine fraction grain size distributions. The fine fraction distribution data are added to the appropriate data entry spreadsheets (GrainSizeWorksheet_LD1-30_xxxx(batch_yy).xlsm or GrainSizeWorksheet_LD31-600_xxxx(batch_yy).xlsm). The spreadsheet is used to calculate a continuous phi class distribution from the original fractions. Sediment samples Sediment sample submission spreadsheet 20190517 Sediment subsamples Laser diffraction data entry spreadsheets Lab Manager U.S. Geological Survey Lab Manager mailing and physical address

384 Woods Hole Rd.

Woods Hole MA 02543-1598 USA 508-548-8700 508-457-2310 Continuous phi class distribution from the original fractions are transposed to the "results" tab in the macro-enabled Microsoft Excel data entry workbook (GrainSizeWorksheet_LD1-30_xxxx(batch_yy).xlsm or GrainSizeWorksheet_LD31-600_xxxx(batch_yy).xlsm, where xxxx is the identifier assigned to the sample submission, 'LD1-30' and 'LD31-60' refer to the pre-labeled and weighed glass laser diffraction vials the samples will be run in, and 'batch_yy' refer to the sample batch). Macros in the workbook ('GS_MoM_Arithmatic,' 'GS_statistics,' and 'sedimentname') are run to calculate grain size classification and statistical analyses and finish processing the data. Sample, navigation, and field identifiers, along with continuous phi class distribution data, grain size classification, and statistical analysis results are copied and pasted into a final Microsoft Excel spreadsheet (xxxx_GS-LD_results.xlsx, where xxxx is the batch number assigned to the sample submission). The processed data are quality control checked and assigned a quality grade based on the examination of the analytical data. Processed data are released to the submitter and incorporated into the laboratory's database. All raw analytical data generated by the samples are archived in the sediment analysis laboratory. Laser diffraction data entry spreadsheets 20190418 Final Microsoft Excel spreadsheet (SA12_GS-LD_results.xlsx) Lab Manager U.S. Geological Survey Lab Manager mailing and physical address

384 Woods Hole Rd.

Woods Hole MA 02543-1598 USA 508-548-8700 508-457-2310 The Microsoft Excel spreadsheet was then saved as a CSV file (2018-049-FA_samples_GS-LD.csv) and opened in QGIS (version 3.8). A simplified shapefile of the sediment analyses was created by removing the attribute fields for STDEV, SKEWNESS, KURTOSIS, MEDIAN and other Method of Moments Statistics [e.g. D10], and the individual phi measurements [e.g., PHI_11] prior to export. Final Microsoft Excel spreadsheet (SA12_GS-LD_results.xlsx) Survey logs 202004 CSV file of sediment grain-size analysis results (2018-049-FA_samples_GS-LD.csv) shapefile of simplified sediment grain-size analysis results (2018-049-FA_samples.shp) Seth Ackerman U.S. Geological Survey Geologist mailing and physical address

384 Woods Hole Rd.

Woods Hole MA 02543-1598 USA 508-548-8700 x2315 508-457-2310 sackerman@usgs.gov Vector Entity point 68 0.000005 0.000005 Decimal degrees D_WGS_1984 WGS_1984 6378137.000000 298.257224 2018-018-FA_samples_GS-LD.csv Comma separated values table containing grain-size analysis results using the HORIBA LA-960 laser diffraction analyzer and sieving of the >= -2-phi fraction for sediment samples collected during USGS survey 2018-049-FA along the southern end of Long Beach Island, NJ in 2018. U.S. Geological Survey ANALYSIS_I An identifier for the sample that is unique to the database. This identifier begins with the assigned multi-letter code GS-, which corresponds to the type of analysis performed on the sample (grain-size analysis), followed by a six-digit number assigned sequentially as samples are registered for analysis. U.S. Geological Survey Character string. SAMPLE_ID The identification value assigned to the sample at the time of collection. This varies from field activity to field activity and the ID can contain any combination of letters and numbers. U.S. Geological Survey Character string. PROJECT Name of project or project number under which samples were taken or data generated; sometimes project name indicates a more specific area. U.S. Geological Survey Character sting. FAN The serial number assigned to the dataset field activity during which the sample was collected. This value is in the format YYYY-XXX-FA where YYYY is the year, XXX is the number assigned to the activity within the year, and FA indicates Field Activity. U.S. Geological Survey Character string. SUBMITTER Name of Principal investigator or chief scientist responsible for data collection, or researcher submitting samples for analysis (usually first initial and last name). U.S. Geological Survey Character string. AREA General geographic area of data collection. Name is general enough to easily locate area on a map. U.S. Geological Survey Character string. SUBMISSION Unique sample submission identifier. This identifier begins with the initials of the submitter, followed by a two-digit number assigned sequentially relative to previous submissions. U.S. Geological Survey Character string. LATITUDE Latitude coordinate, in decimal degrees (WGS 84), of sample location. South latitude is recorded as negative values. U.S. Geological Survey 39.387596 39.556554 decimal degrees LONGITUDE Longitude coordinate, in decimal degrees (WGS 84), of sample location. West longitude is recorded as negative values. U.S. Geological Survey -74.459351 -74.202876 decimal degrees DEPTH_M Approximate depth of water in meters at the sample location derived from a composite bathymetry dataset used by the LISMaRC project. U.S. Geological Survey 2 18.4 meters 1 T_DEPTH Top depth of the sample below the sediment-water interface in centimeters. U.S. Geological Survey 0 0 centimeters B_DEPTH Bottom depth of the sample below the sediment-water interface in centimeters. U.S. Geological Survey 2 2 centimeters DEVICE Device used to collect the sample. U.S. Geological Survey Character string. DATE COLLECTED Calendar date in UTC indicating when the sample was collected in the format MM/DD/YYYY where MM is the numeric month, DD is the day of the month, and YYYY is the year. U.S. Geological Survey Character string. ANALYSIS COMPLETION DATE Calendar date indicating when analyses on the sample were completed in the format MM/DD/YYYY where MM is the numeric month, DD is the day of the month, and YYYY is the year. U.S. Geological Survey Character string. ANALYSIS METHOD Method used to analyze the sample for grain-size distribution. U.S. Geological Survey GS-LD Grain-size analysis using the HORIBA laser diffraction unit and sieving of the >= -2 phi fraction. U.S. Geological Survey WEIGHT WET SAMPLE (g) Weight of initial sample in grams. U.S. Geological Survey 4.3594 24.7073 grams 0.0001 GRAVEL (wt%) Gravel content in percent dry weight of the sample. Gravel consists of particles with nominal diameters greater than 2 mm (-1 phi and larger). U.S. Geological Survey 0.0 30.53267662 weight percent SAND (wt%) Sand content in percent dry weight of the sample. Sand consists of particles with nominal diameters less than 2 mm, but greater than or equal to 0.0625 mm (0 phi through 4 phi, inclusive). U.S. Geological Survey 32.0945 100.00200000000001 weight percent SILT (wt%) Silt content in percent dry weight of the sample. Silt consists of particles with nominal diameters less than 0.0625 mm, but greater than or equal to 0.004 mm (5 phi through 8 phi, inclusive). U.S. Geological Survey 0.0 67.5455 weight percent CLAY (wt%) Clay content in percent dry weight of the sample. Clay consists of particles with nominal diameters less than 0.004 mm (9 phi and smaller). U.S. Geological Survey 0 11.00438629 weight percent CLASSIFICATION (Shepard) Sediment classification based on a rigorous definition (Shepard [1954] as modified by Schlee and Webster [1967], Schlee [1973], and Poppe and others [2005]). In the definitions below, gravel is defined as particles with nominal diameters greater than 2 mm; sand consists of particles with nominal diameters less than 2 mm, but greater than or equal to 0.0625 mm; silt consists of particles with nominal diameters less than 0.0625 mm, but greater than or equal to 0.004 mm; and clay consists of particles with nominal diameters less than 0.004 mm. U.S. Geological Survey gravelly sediment Sediment whose main phase is gravel, but with significant other sediment. Gravel greater than 10 percent. Shepard (1954) as modified by Schlee and Webster (1967), Schlee (1973), and Poppe and others (2005) sand Sediment whose main phase is sand. Shepard (1954) as modified by Schlee and Webster (1967), Schlee (1973), and Poppe and others (2005) sandy silt Sediment whose main phase is silt, but with significant sand. Shepard (1954) as modified by Schlee and Webster (1967), Schlee (1973), and Poppe and others (2005) MEAN (Method of Moments Statistics - Logarithmic [phi]) Average value in the grain-size distribution in phi units. U.S. Geological Survey -0.600646984 4.6877675 phi STDEV (Method of Moments Statistics - Logarithmic [phi]) Standard deviation (root mean square of the deviations) of the grain-size distribution in phi units (sorting). U.S. Geological Survey 0.392708114 3.8946334000000005 phi SKEWNESS (Method of Moments Statistics - Logarithmic [phi]) Skewness (deviation from symmetrical form) of the grain-size distribution in phi units. U.S. Geological Survey -0.9509509190000001 3.92520441 phi KURTOSIS (Method of Moments Statistics - Logarithmic [phi]) Kurtosis (degree of curvature near the mode) of the grain-size distribution in phi units. U.S. Geological Survey 1.70133143 24.32617717 phi D10 (Method of Moments Statistics - Logarithmic [phi]) Diameter at which 10% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey -3.6697438539999996 1.862552292 phi D25 (Method of Moments Statistics - Logarithmic [phi]) Diameter at which 25% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey -3.174359635 2.9164595419999997 phi MEDIAN (D50; Method of Moments Statistics - Logarithmic [phi]) Diameter at which 50% of the sample mass is comprised of sediment particles with a diameter less than this value and 50% is larger; middle point in the grain-size distribution in phi units. U.S. Geological Survey -0.00860687 5.3318150310000005 phi D75 (Method of Moments Statistics - Logarithmic [phi]) Diameter at which 75% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey 0.6318632439999999 6.305708054 phi D90 (Method of Moments Statistics - Logarithmic [phi]) Diameter at which 90% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey 0.9033149009999999 8.211241171000001 phi MEAN (Method of Moments Statistics - Arithmetic [micron]) Average value in the grain-size distribution in microns. U.S. Geological Survey 98.32200037 3856.3704409999996 microns STDEV (Method of Moments Statistics - Arithmetic [micron]) Standard deviation (root mean square of the deviations) of the grain-size distribution in microns (sorting). U.S. Geological Survey 59.68837927 4919.650976 microns 0.01 SKEWNESS (Method of Moments Statistics - Arithmetic [micron]) Skewness (deviation from symmetrical form) of the grain-size distribution in microns. U.S. Geological Survey 0.282273655 18.85191395 microns KURTOSIS (Method of Moments Statistics - Arithmetic [micron]) Kurtosis (degree of curvature near the mode) of the grain-size distribution in microns. U.S. Geological Survey 1.7344376719999999 471.4717274 microns D10 (Method of Moments Statistics - Arithmetic [micron]) Diameter at which 10% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey 3.9705079660000004 599.2129269999999 microns D25 (Method of Moments Statistics - Arithmetic [micron]) Diameter at which 25% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey 14.82946739 789.1625449000001 microns MEDIAN (D50; Method of Moments Statistics - Arithmetic [micron]) Diameter at which 50% of the sample mass is comprised of sediment particles with a diameter less than this value and 50% is larger; middle point in the grain-size distribution in microns. U.S. Geological Survey 25.39032353 1022.823633 microns D75 (Method of Moments Statistics - Arithmetic [micron]) Diameter at which 75% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey 143.60703769999998 9394.877077 microns D90 (Method of Moments Statistics - Arithmetic [micron]) Diameter at which 90% of the sample mass is comprised of sediment particles with a diameter less than this value. U.S. Geological Survey 273.1486475 13357.95083 microns PHI_16 Weight percent of the sample in the 16-phi fraction and smaller (nominal diameter of particles less than 0.00003125 mm); colloid. U.S. Geological Survey 0 0 weight percent 0.001 PHI_15 Weight percent of the sample in the 15-phi fraction (nominal diameter of particles greater than or equal to 0.00003125 mm, but less than 0.0000625 mm); colloid. U.S. Geological Survey 0 0 weight percent 0.001 PHI_14 Weight percent of the sample in the 14-phi fraction (nominal diameter of particles greater than or equal to 0.0000625 mm, but less than 0.000125 mm); colloid. U.S. Geological Survey 0 0 weight percent 0.001 PHI_13 Weight percent of the sample in the 13-phi fraction (nominal diameter of particles greater than or equal to 0.000125 mm, but less than 0.00025 mm); fine clay. U.S. Geological Survey 0 0.193 weight percent 0.001 PHI_12 Weight percent of the sample in the 12-phi fraction (nominal diameter of particles greater than or equal to 0.00025 mm, but less than 0.0005 mm); fine clay. U.S. Geological Survey 0 2.064 weight percent 0.001 PHI_11 Weight percent of the sample in the 11-phi fraction (nominal diameter of particles greater than or equal to 0.0005 mm, but less than 0.001 mm); fine clay. U.S. Geological Survey 0 2.737 weight percent 0.001 PHI_10 Weight percent of the sample in the 10-phi fraction (nominal diameter of particles greater than or equal to 0.001 mm, but less than 0.002 mm); medium clay. U.S. Geological Survey 0 1.179 weight percent 0.001 PHI_9 Weight percent of the sample in the 9-phi fraction (nominal diameter of particles greater than or equal to 0.002 mm, but less than 0.004 mm); coarse clay. U.S. Geological Survey 0 4.831 weight percent 0.001 PHI_8 Weight percent of the sample in the 8-phi fraction (nominal diameter of particles greater than or equal to 0.004 mm, but less than 0.008 mm); very fine silt. U.S. Geological Survey 0 6.537000000000001 weight percent 0.001 PHI_7 Weight percent of the sample in the 7-phi fraction (nominal diameter of particles greater than or equal to 0.008 mm, but less than 0.016 mm); fine silt. U.S. Geological Survey 0 26.594 weight percent 0.001 PHI_6 Weight percent of the sample in the 6-phi fraction (nominal diameter of particles greater than or equal to 0.016 mm, but less than 0.031 mm); medium silt. U.S. Geological Survey 0 25.248 weight percent 0.001 PHI_5 Weight percent of the sample in the 5-phi fraction (nominal diameter of particles greater than or equal to 0.031 mm, but less than 0.0625 mm); coarse silt. U.S. Geological Survey 0 10.763 weight percent 0.001 PHI_4 Weight percent of the sample in the 4-phi fraction (nominal diameters of particles greater than or equal to 0.0625 mm, but less than 0.125 mm); very fine sand. U.S. Geological Survey 0 23.288 weight percent 0.001 PHI_3 Weight percent of the sample in the 3-phi fraction (nominal diameter of particles greater than or equal to 0.125 mm, but less than 0.25 mm); fine sand. U.S. Geological Survey 0 75.438 weight percent 0.001 PHI_2 Weight percent of the sample in the 2-phi fraction (nominal diameter of particles greater than or equal to 0.25 mm, but less than 0.5 mm); medium sand. U.S. Geological Survey 2.844 71.82 weight percent 0.001 PHI_1 Weight percent of the sample in the 1-phi fraction (nominal diameter of particles greater than or equal to 0.5 mm, but less than 1 mm); coarse sand. U.S. Geological Survey 0.0 84.015 weight percent 0.001 PHI_0 Weight percent of the sample in the 0-phi fraction (nominal diameters of particles greater than or equal to 1 mm, but less than 2 mm); very coarse sand. U.S. Geological Survey 0 47.586999999999996 weight percent 0.001 PHI_-1 Weight percent of the sample in the -1-phi fraction (nominal diameter of particles greater than or equal to 2 mm, but less than 4 mm); very fine pebbles (granules). U.S. Geological Survey 0 2.866 weight percent 0.001 PHI_-2 Weight percent of the sample in the -2-phi fraction (nominal diameter of particles greater than or equal to 4 mm, but less than 8 mm); fine pebbles. U.S. Geological Survey 0 18.867 weight percent 0.001 PHI_-3 Weight percent of the sample in the -3-phi fraction (nominal diameter of particles greater than or equal to 8 mm, but less than 16 mm); medium pebbles. U.S. Geological Survey 0 30.280 weight percent 0.001 PHI_-4 Weight percent of the sample in the -4-phi fraction (nominal diameter of particles greater than or equal to 16 mm, but less than 32 mm); coarse pebbles. U.S. Geological Survey 0 0 weight percent 0.001 PHI_-5 Weight percent of the sample in the -5-phi fraction (nominal diameter of particles greater than or equal to 32 mm, but less than 64 mm); very coarse pebbles. U.S. Geological Survey 0 0 weight percent 0.001 PHI_-6 Weight percent of the sample in the -6-phi fraction and larger (nominal diameter of particles greater than or equal to 64 mm); cobbles and boulders. U.S. Geological Survey 0 0 weight percent 0.001 ANALYST Name (usually first, middle, and last initials) of person who performed the grain-size or physical properties analysis. U.S. Geological Survey Character string. QUALITY GRADE Samples are assigned a quality grade based on the examination of the analytical data. Data quality grades may be determined by several factors, and any comments or notes that indicate the data for a particular sample may be suspect are included in the results table for that sample under "comments". Quality grades for sample data that do not have any additional comments are assigned based on the calculated percent difference between the weights of the coarse fraction remaining after wet sieving and the sum of all of the weighed fractions after dry sieving the coarse fraction, indicating an estimated differing amount of material which could skew the calculated grain size results: A = percent differences between 0% and ±1.5%, B = percent differences between ±1.5% and ±3%, C = percent differences between ±3% and ±4.5%, and D = percent differences greater than ±4.5%. U.S. Geological Survey Character string. QA/QC COMMENTS Relevant comments on analytical observations or anomalies that may affect the quality of the data. Entries with no comments are left blank. U.S. Geological Survey Character string. 2018-049-FA_samples.shp Simplified sediment sample analyses in shapefile format created by removing the attribute fields for STDEV, SKEWNESS, KURTOSIS, MEDIAN and other Method of Moments Statistics [e.g. D10], and the individual phi measurements [e.g., PHI_11] from the csv file. Description of the attribute fields remaining in this shapefile are the same as listed for the csv file above. U.S. Geological Survey The shapefile is a simplified version of the CSV file of the laser diffraction analysis results (2018-049-FA_samples_GS-LD.csv) with fewer attribute fields. Specifically, STDEV, SKEWNESS, KURTOSIS, MEDIAN and other Method of Moments Statistics [e.g. D10], the individual phi measurements [e.g., PHI_11], QUALITY_GR and QA/QC_COMM were removed. All the other attributes in the shapefile have the same definitions as the CSV file attributes (see the detailed description section for the 2018-049-FA_samples_GS-LD entity for definitions of the CSV file attributes). The following fields are included in the shapefile: ANALYSIS_I (truncated field name for ANALYSIS_ID), SAMPLE_ID, PROJECT, FAN, SUBMITTER, AREA, SUBMISSION, LATITUDE, LONGITUDE, DEPTH_M, T_DEPTH, B_DEPTH, DEVICE, DATE COLLE (truncated field name for DATE_COLLECTED), ANALYSIS C (truncated field name for ANALYSIS COMPLETION DATE), ANALYSIS M (truncated field name for ANALYSIS METHOD), WEIGHT WET, GRAVEL (wt, SAND (wt %, SILT (wt %, CLAY (wt %, CLASSIFICA (truncated field name for CLASSIFICATION), MEAN, ANALYST, QUALITY GR and QA/QC COMM. If you open the shapefile in ArcGIS software, the field names may be slightly different than described above as the softwares truncate field names differently. ArcGIS will also have two additional attributes, FID and Shape, which have the following descriptions: 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. U.S. Geological Survey U.S. Geological Survey - ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Sea floor grain-size analysis results and locations for sediment samples collected off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA, using a modified Van Veen grab sampler on the USGS SEABOSS: includes a CSV file of the sediment sample locations and analysis results using the HORIBA LA-960 laser diffraction analyzer and sieving of the >= -2-phi fraction (2018-049-FA_samples_GS-LD.csv); a simplified shapefile of the sediment sample locations and analysis results (2018-049-FA_samples.shp); a browse graphic of sediment sample locations (2018-049-FA_samples_browse.jpg); and a Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM) metadata file (2018-049-FA_samples_meta.xml). 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. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the 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. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Comma-delimited text Microsoft Excel (version 16.35) Comma Separated Values (CSV) text file This dataset contains CSV files and a shapefile of locations and grain-size analysis results for sediment samples collected by the U.S. Geological Survey Woods Hole Coastal and Marine Science Center and Stockton University off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA in 2018 and the associated metadata. 0.8 https://www.sciencebase.gov/catalog/item/5f5e36c882ce3550e3bfed9a https://www.sciencebase.gov/catalog/file/get/5f5e36c882ce3550e3bfed9a https://doi.org/10.5066/P9C3J33K The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services. Shapefile QGIS (version 3.10) Shapefile This dataset contains CSV files and a shapefile of locations and grain-size analysis results for sediment samples collected by the U.S. Geological Survey Woods Hole Coastal and Marine Science Center and Stockton University off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA in 2018 and the associated metadata. 0.8 https://www.sciencebase.gov/catalog/item/5f5e36c882ce3550e3bfed9a https://www.sciencebase.gov/catalog/file/get/5f5e36c882ce3550e3bfed9a https://doi.org/10.5066/P9C3J33K The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services. WMS Data from 2018-049-FA_samples.shp provided through a WMS (web mapping service). https://www.sciencebase.gov/catalogMaps/mapping/ows/5f5e36c882ce3550e3bfed9a?service=wms&request=getcapabilities&version=1.3.0 https://www.sciencebase.gov/catalog/item/5f5e36c882ce3550e3bfed9a https://doi.org/10.5066/P9C3J33K The first link in the network resources accesses the data through a mapping service, the second is to the page containing the data, and the third link is to the publication landing page. none This dataset contains data available as a CSV file and a point shapefile. The CSV file can be read with a text editor. The user must have software capable of reading shapefile format to use the point shapefile. 20210422 Seth Ackerman U.S. Geological Survey Geologist mailing and physical address

384 Woods Hole Rd.

Woods Hole MA 02543-1598 USA 508-548-8700 x2315 508-457-2310 sackerman@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time