Katlin Bowman Adamczyk Amy Gartman Jaycee Favela Jacob Tidwell 20250317 comma-delimited text data release DOI:10.5066/P13B46QX Pacific Coastal and Marine Science Center, Santa Cruz, California U.S. Geological Survey https://doi.org/10.5066/P13B46QX https://www.sciencebase.gov/catalog/item/671aab6bd34efed5620fb81a Katlin Bowman Adamczyk Amy Gartman Jaycee Favela Jacob Tidwell 2025 data release DOI:10.5066/P13B46QX Pacific Coastal and Marine Science Center, Santa Cruz, CA U.S. Geological Survey Suggested Citation: Adamczyk, K., Gartman, A., Favela, J., and Tidwell, J., 2025, Computed tomography (CT) scans, photographs, geochemistry, grain-size analysis, X-ray fluorescence (XRF) scans, X-ray diffraction (XRD), magnetic susceptibility, and gamma-ray bulk density data of gravity cores and push cores from the Escanaba Trough (Gorda Ridge): U.S. Geological Survey data release, https://doi.org/10.5066/P13B46QX https://doi.org/10.5066/P13B46QX https://www.sciencebase.gov/catalog/item/67004442d34e80be174aea95 This portion of the data release contains X-ray fluorescence (XRF) data from push cores and gravity cores collected from the Escanaba Trough vent field, Gorda Ridge, in the northeast Pacific Ocean. These data were collected in 2022 (USGS Field Activity 2022-621-FA). The XRF data were collected with the sensor in “geochem" mode and are provided in comma-delimited files (.csv). Data were obtained to characterize downcore geochemical properties of sediments. These data are intended for science researchers, students, policy makers, and the general public. Additional information about the field activity or activities from which these data were derived is available online at: https://cmgds.marine.usgs.gov/fan_info.php?fan=2022-621-FA Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. 20220801 20220808 Time data were compiled to completion of the last process step Complete None planned -127.5362 -127.4076 41.1632 40.6957 ISO 19115 Topic Category oceans geoscientificInformation Data Categories for Marine Planning Nonliving Resources Material Resources Mineral Resources Physical/Chemical Features USGS Thesaurus push coring gravity coring chemical analysis mass spectroscopy geochemistry metallic mineral resources earth sciences marine geology Marine Realms Information Bank (MRIB) keywords sediment geochemistry mineral resources chemical analysis None U.S. Geological Survey USGS Coastal and Marine Hazards and Resources Program CMHRP Pacific Coastal and Marine Science Center PCMSC Global Ocean Mineral Resources USGS Metadata Identifier USGS:671aab6bd34efed5620fb81a Geographic Names Information System (GNIS) Pacific Ocean NGA GEOnet Names Server (GNS) Escanaba Trough Gorda Ridge No access constraints USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey as the originator of the dataset and in products derived from these data. U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

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Santa Cruz CA 95060 831-427-4747 pcmsc_data@usgs.gov https://www.sciencebase.gov/catalog/file/get/671aab6bd34efed5620fb81a?name=XRF.JPG&allowOpen=true Line plots of XRF metal concentrations verses sediment core depth. JPEG Exploring the Seafloor and Oceanic Footprints is an interagency effort involving the National Oceanic and Atmospheric Administration, the U.S. Geological Survey, and the Bureau of Ocean Energy Management. Funding is acknowledged from NOAA Ocean Exploration via its Ocean Exploration Fiscal Year 2019 Funding Opportunity and through the National Oceanographic Partnership Program (NOPP), from the USGS Coastal and Marine Hazards and Resources Enhanced Funding Opportunities, and from the Bureau of Ocean Energy Management through Interagency Agreement M19PG00021 with the United States Geological Survey. Windows 11 Enterprise, Microsoft Excel 365 for enterprise, Geotek MSCL 7.9 No formal attribute accuracy tests were conducted. XRF element concentrations were compared to geochemistry subsample element concentrations (TN403_Geochemistry, published as part of this data release) collected from the same depth intervals. Elements that showed linear agreement at an R-squared value greater than 0.3 are included in this data release. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. The locations of push core samples were determined using ROV Jason’s ultra-short baseline (USBL) navigation. Accuracy for this depth is approximately 6-26 m. The locations of gravity core samples were determined using the R/V Thomas G. Thompson’s GPS navigation, which is accurate to less than 5 m. A formal accuracy assessment of the horizontal positional information in the dataset has not been conducted. For push core samples, the vertical accuracy was determined with ROV Jason’s altimeter, which is accurate to less than 1 m. For gravity core samples, the vertical accuracy was determined with the R/V Thomas G. Thompson’s multibeam bathymetry system. No formal positional accuracy tests were conducted. Adamczyk, Katlin Gartman, Amy Favela, Jaycee Tidwell, Jacob 2025 comma-delimited text online U.S. Geological Survey https://www.sciencebase.gov/catalog/item/679282a3d34e88f5864c49e9 U.S. Geological Survey data release 20220524 20220613 ground condition at time samples were collected TN403_CoreLocations Latitude, longitude, and water depth information for gravity cores and push cores from this same data release Adamczyk, Katlin Gartman, Amy Favela, Jaycee Tidwell, Jacob 2025 https://www.sciencebase.gov/catalog/item/670957a2d34e969edc5a2a9b U.S. Geological Survey data release 20220712 20231129 Time data were compiled to completion of the last process step TN403_Geochemistry Element concentrations for sediment subsamples from this same data release Push core and gravity core samples were collected on the R/V Thomas G. Thompson between May 24, 2022, and June 13, 2022, during the TN403 Escanaba Trough expedition, which was led and staffed by USGS employees. Push cores were pushed into sediment at 37 locations by ROV Jason’s manipulator arm in water depths between 3,201 and 3,301 meters. Gravity cores were collected using a gravity corer at 7 locations in water depths between 3209 and 3304 meters. Gravity cores greater than 60 cm in length were cut into sections onboard the ship and labeled ‘X’ (0-60 cm), ‘Y’ (60-120 cm), and ‘Z’ (>120 cm). All cores were stored upright and refrigerated until return to shore. 20220613 Cores were split into "working" and "archive" halves in the lab. Sediment surfaces were cleaned and smoothed on the "archive" halves of split cores. A four micron-thick ultralene film that is transparent to x-rays was applied to the sediment surface in order to protect the XRF window. Cores were loaded onto the track of a Geotek Multi Sensor Core Logger (MSCL) with an Olympus Delta Professional XRF gun mounted to an arm that moves the XRF sensor vertically on and off the core surface. The XRF sensor was calibrated before each scan using a 316-alloy reference coin. The XRF window is 1x1 cm square and measurements were collected between 0.5 and 2 cm downcore, automated by the motors on the MSCL. The XRF was run in "geochem" mode with two beams at 20 seconds each. Data were processed with Geotek MSCL software and elemental abundances are reported in parts per million (ppm). Geochem mode processes the data as a closed sum compositional dataset, assuming that all components add up to 100 percent. 20220808 Katlin Adamczyk USGS Physical Scientist mailing and physical

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Santa Cruz CA 95060 831-460-7420 kadamczyk@usgs.gov Point Point 2387 0.001 0.001 Decimal degrees D_WGS_1984 WGS_1984 6378137.0 298.257222101 GC01-Y_geochem.csv, GC01-Z_geochem.csv, GC03-X_geochem.csv, GC03-Y_geochem.csv, GC03-Z_geochem.csv, GC04-X_geochem.csv, GC04-Y_geochem.csv, GC04-Z_geochem.csv, GC05-Z_geochem.csv, GC06-X_geochem.csv, GC06-Y_geochem.csv, GC06-Z_geochem.csv, GC08-X_geochem.csv, GC08-Y_geochem.csv, GC08-Z_geochem.csv, GC09-Y_geochem.csv, GC09-Z_geochem.csv, J2-1418-PC03_geochem.csv, J2-1418-PC04_geochem.csv, J2-1418-PC06_geochem.csv, J2-1418-PC08_geochem.csv, J2-1418-PC12_geochem.csv, J2-1418-PC15_geochem.csv, J2-1419-PC01_geochem.csv, J2-1419-PC02_geochem.csv, J2-1419-PC05_geochem.csv, J2-1419-PC08_geochem.csv, J2-1419-PC11_geochem.csv, J2-1419-PC14_geochem.csv, J2-1420-PC01_geochem.csv, J2-1420-PC02_geochem.csv, J2-1420-PC05_geochem.csv, J2-1420-PC08_geochem.csv, J2-1420-PC11_geochem.csv, J2-1420-PC14_geochem.csv, J2-1421-PC01_geochem.csv, J2-1421-PC02_geochem.csv, J2-1421-PC05_geochem.csv, J2-1422-PC01_geochem.csv, J2-1422-PC04_geochem.csv, J2-1422-PC07_geochem.csv, J2-1422-PC10_geochem.csv, J2-1422-PC13_geochem.csv, J2-1424-PC01_geochem.csv, J2-1424-PC04_geochem.csv, J2-1424-PC07_geochem.csv, J2-1424-PC10_geochem.csv, J2-1424-PC13_geochem.csv, J2-1425-PC01_geochem.csv, J2-1426-PC01_geochem.csv, J2-1426-PC04_geochem.csv, J2-1426-PC07_geochem.csv, J2-1426-PC10_geochem.csv, J2-1426-PC13_geochem.csv Comma-separated value (CSV) files containing XRF data. The first row is a header row. The file name corresponds to the core id. TN403_CoreLocations contains the latitude, longitude, and water depth for each core id. Values of -9999 indicate that the XRF measurements are not available. The ranges listed in the following attributes represent the combined range domains for all files. Producer defined core_depth_cm Measured depth below top of core liner producer defined 0.0 150.0 centimeters .1 XRF_TotalCounts The total number of X-ray photons detected by the XRD during a measurement. Values of -9999 indicate that data are not available. producer defined 148281 1012728 counts 1 XRF_Live_Time_sec The total time the XRF was detecting photons during a measurement. This is less than the set 20 second scan time. Values of -9999 indicate that data are not available. producer defined 12 19 seconds 1 Mn_ppm Manganese abundance in parts per million (ppm). Values of -9999 indicate that manganese data are not available. The limit of detection was 5.00-8.00 ppm. producer defined 0 19644.28 parts per million .01 Mn-Error_ppm Estimated error of manganese abundance in parts per million (ppm). Values of -9999 indicate that manganese data are not available. producer defined 5.30 17059.86 parts per million .01 Fe_ppm Iron abundance in parts per million (ppm). Values of -9999 indicate that iron data are not available. The limit of detection was 10.00-20.00 ppm. producer defined 0.00 306663.06 parts per million .01 Fe-Error_ppm Estimated error of iron abundance in parts per million (ppm). Values of -9999 indicate that iron data are not available. producer defined 7.83 5436.75 parts per million .01 Cu_ppm Copper abundance in parts per million (ppm). Values of -9999 indicate that copper data are not available. The limit of detection was 5.00-8.00 ppm. producer defined 9.69 16988.16 parts per million .01 Cu-Error_ppm Estimated error of copper abundance in parts per million (ppm). Values of -9999 indicate that copper data are not available. producer defined 2.56 319.26 parts per million .01 Pb_ppm Lead abundance in parts per million (ppm). Values of -9999 indicate that lead data are not available. The limit of detection was 3.00-5.00 ppm. producer defined 4.51 8148.29 parts per million .01 Pb-Error_ppm Estimated error of lead abundance in parts per million (ppm). Values of -9999 indicate that lead data are not available. producer defined 1.55 170.55 parts per million .01 S_ppm Sulfur abundance in parts per million (ppm). Values of -9999 indicate that sulfur data are not available. The limit of detection for sulfur was not reported. producer defined 112.68 42949.01 parts per million .01 S-Error_ppm Estimated error of sulfur abundance in parts per million (ppm). Values of -9999 indicate that sulfur data are not available. producer defined 33.57 2546.81 parts per million .01 Ca_ppm Calcium abundance in parts per million (ppm). Values of -9999 indicate that calcium data are not available. The limit of detection for calcium was not reported. producer defined 538.32 18364.44 parts per million .01 Ca-Error_ppm Estimated error of calcium abundance in parts per million (ppm). Values of -9999 indicate that calcium data are not available. producer defined 18.39 204.80 parts per million .01 The first line of the csv file is a header line. U.S. Geological Survey U.S. Geological Survey - ScienceBase mailing and physical

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Denver CO 80225 1-888-275-8747 sciencebase@usgs.gov These data are available in .csv format contained in a single file. 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 on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. comma-delimited text Microsoft Excel 16.16.17 for Mac csv files No compression applied .2399 https://www.sciencebase.gov/catalog/file/get/671aab6bd34efed5620fb81a https://www.sciencebase.gov/catalog/item/671aab6bd34efed5620fb81a https://doi.org/10.5066/P13B46QX Data and metadata can be downloaded using the Network_Resource_Name links. The first link is a direct link to download a zipped file of data and metadata. The second link points to a landing page with metadata and data. The third link points to the landing page for the entire data release. None. These data can be viewed with Microsoft Excel or any text reader. 20250317 U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

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Santa Cruz CA 95060 831-427-4747 pcmsc_data@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998