Mercedes D. Erdey 2015 1.0 GeoTiff Data Series DS 781 Reston, VA U.S. Geological Survey https://www.sciencebase.gov/catalog/item/554809bde4b0a658d7955557 Nadine E. Golden 2013 database Data Series DS 781 Reston, VA U.S. Geological Survey https://pubs.usgs.gov/ds/781/ https://cmgds.marine.usgs.gov/data/csmp/OffshorePigeonPoint/data_catalog_OffshorePigeonPoint.html This part of DS 781 presents data for the bathymetric contours for several seafloor maps of the Offshore Pigeon Point map area, California. The vector data file is included in "Contours_OffshorePigeonPoint.zip", which is accessible from https://doi.org/10.5066/F7513W80. These data accompany the pamphlet and map sheets of Cochrane, G.R., Watt, J.T., Dartnell, P., Greene, H.G., Erdey, M.D., Dieter, B.E., Golden, N.E., Johnson, S.Y., Endris, C.A., Hartwell, S.R., Kvitek, R.G., Davenport, C.W., Krigsman, L.M., Ritchie, A.C., Sliter, R.W., Finlayson, D.P., and Maier, K.L. (G.R. Cochrane and S.A. Cochran, eds.), 2015, California State Waters Map Series—Offshore of Pigeon Point, California: U.S. Geological Survey Open-File Report 2015–1232, pamphlet 40 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151232. 10-m interval contours of the Offshore Pigeon Point map area, California, were generated from bathymetry data collected by the U.S. Geological Survey (USGS) and by California State University, Monterey Bay (CSUMB). Mapping was completed between 2006 and 2009 using a combination of a 244-kHz Reson 8101 multibeam echosounder and a 234-kHz SEA SWATHplus bathymetric sidescan-sonar system. The mapping missions collected bathymetry data from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters. Bathymetric contours at 10-m intervals were generated from a modified 2-m bathymetric surface. The original surface was smoothed using the Focal Mean tool in ArcGIS and a circular neighborhood with a radius of 20 to 30 meters (depending on the area). The contours were generated from this smoothed surface using the ArcGIS Spatial Analyst Contour tool. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. The contours were then clipped to the boundary of the map area. These data are not intended for navigational purposes. These data are intended for science researchers, students, policy makers, and the general public. These data can be used with geographic information systems or other software to identify bathymetric features. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the data set in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology. 2006 2009 ground condition Complete As needed -122.48 -122.29 37.23 37.07 USGS Metadata Identifier USGS:554809bde4b0a658d7955557 Global Change Master Directory (GCMD) Bathymetry Seafloor Topography None Seafloor Character Fisheries Ocean Floor Topography U.S. Geological Survey USGS Coastal and Marine Hazards and Resources Program CMHRP Pacific Coastal and Marine Science Center PCMSC ISO 19115 Topic Category geoscientificInformation environment oceans imageryBaseMapsEarthCover Marine Realms Information Bank (MRIB) keywords multibeam echo sounder seabed Data Categories for Marine Planning distributions bathymetry and elevation USGS Thesaurus bathymetry geospatial datasets sea-floor characteristics contouring computational methods geospatial analysis Coastal and Marine Ecological Classification Standard (CMECS) Marine Nearshore Subtidal Marine Offshore Subtidal Transform Continental Margin Continental/Island Shelf Rock Substrate Unconsolidated Mineral Substrate Geographic Names Information System (GNIS) Pacific Ocean State of California Pigeon Point San Mateo County Ano Nuevo Coastal and Marine Ecological Classification Standard (CMECS) Northern California Ecoregion Coastal and Marine Ecological Classification Standard (CMECS) Substrate None 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 and California State University, Monterey Bay, Seafloor Mapping Lab as the originator(s) 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

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-427-4747 pcmsc_data@usgs.gov https://www.sciencebase.gov/catalog/file/get/5547e66ae4b0a658d79520c0?name=Contours_OffshorePigeonPoint.jpg&allowOpen=true Contours derived from bathymetry of offshore Pigeon Point. JPEG Microsoft Windows Server 2008 R2 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 10.0 Guy R. Cochrane Janet T. Watt Peter Dartnell H. Gary Greene Mercedes D. Erdey Bryan E. Dieter Nadine E. Golden Samuel Y. Johnson Charles A. Endris Stephen R. Hartwell Rikk G. Kvitek Clifton W. Davenport Lisa M. Krigsman Andrew C. Ritchie Ray W. Sliter David P. Finlayson Katherine L. Maier 2015 pamphlet and map sheets Open-File Report 2015-1232 Reston, VA U.S. Geological Survey https://doi.org/10.3133/ofr20151232 Not applicable for raster data. Unspecified Complete Estimated to be no less than 2 m, owing to water depth and total propagated uncertainties of the mapping systems, which include sonar system, position and motion compensation system, and navigation, as well as data processing that includes sounding cleaning, gridding, and datum transformations. Estimated to be no less than 20 cm, owing to water depth and total propagated uncertainties of the mapping systems, which include sonar system, position and motion compensation system, and navigation, as well as data processing that includes sounding cleaning, gridding, and datum transformations. During the mapping missions, an Applanix position and motion compensation system (POS/MV) was used to accurately position the vessel during data collection, and it also accounted for vessel motion such as heave, pitch, and roll (position accuracy, +/-2 m; pitch, roll, and heading accuracy, +/-0.02 degrees; heave accuracy, +/-5 percent, or 5 cm) KGPS altitude data (Fugro Pelagos, StarFix HP & XP units; CSUMB, NavCom 2050) were used to account for tide cycle fluctuations and sound velocity profiles were collected with an Applied Microsystems SVPlus sound velocimeter. Soundings were corrected for vessel motion using the Applanix POS/MV data, for variations in water-column sound velocity using the AM SVPlus data, and for variations in water height (tides) using vertical-position data from the KGPS receivers. Final XYZ soundings and bathymetric-surface models were referenced to the World Geodetic System of 1984 (WGS 1984) relative to the North American Vertical Datum of 1988 (NAVD 1988). Bathymetric contours at 10-m intervals were generated from the merged 2-m bathymetric surface. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. Contours were smoothed via a polynomial approximation with exponential kernel (PAEK) algorithm using a tolerance value of 60 m. The contours were then clipped to the boundary of the map area. 2006 Carrie Bretz Seafloor Mapping Lab, California State University Monterey Bay Projects Manager, GIS & Metadata Supervisor mailing and physical address

100 Campus Center, Bldg 13

Seaside CA 93955 USA 831.582.4197 carrie_bretz@csumb.edu During the USGS mapping mission, GPS data with real-time-kinematic corrections were combined with measurements of vessel motion (heave, pitch, and roll) in a CodaOctopus F180 attitude-and-position system to produce a high-precision vessel-attitude packet. This packet was transmitted to the acquisition software in real time and combined with instantaneous sound velocity measurements at the transducer head before each ping. The returned samples were projected to the seafloor using a ray-tracing algorithm that works with previously measured sound-velocity profiles. Statistical filters were applied to discriminate seafloor returns (soundings) from unintended targets in the water column. Finally, the soundings were converted into 2-m-resolution bathymetric-surface-model grids. Bathymetric contours at 10-m intervals were generated from a modified 2-m bathymetric surface. The original surface was smoothed using the Focal Mean tool in ArcGIS and a circular neighborhood with a radius of 20 to 30 meters (depending on the area). The contours were generated from this smoothed surface using the ArcGIS Spatial Analyst Contour tool. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. The contours were then clipped to the boundary of the map area. 2009 Peter Dartnell U.S. Geological Survey, Pacific Coastal and Marine Science Center Physical Scientist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060-5792 USA 831-460-7415 pdartnell@usgs.gov Keywords section of metadata optimized for discovery in USGS Coastal and Marine Geology Data Catalog. 20171005 U.S. Geological Survey Alan O. Allwardt Contractor -- Information Specialist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060 831-460-7551 831-427-4748 aallwardt@usgs.gov Added keywords from Coastal and Marine Ecological Classification Standard (CMECS) to metadata. 20180426 U.S. Geological Survey Alan O. Allwardt Contractor -- Information Specialist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060 831-460-7551 831-427-4748 aallwardt@usgs.gov Corrected author spelling in Larger Work section 20180622 Susan A Cochran U.S. Geological Survey, Pacific Coastal and Marine Science Center Geologist mailing and physical address

2885 Mission Street

Santa Cruz CA 95060-5792 USA (831) 460-7545 scochran@usgs.gov Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed. 20201019 U.S. Geological Survey VeeAnn A. Cross Marine Geologist Mailing and Physical

384 Woods Hole Road

Woods Hole MA 02543-1598 508-548-8700 x2251 508-457-2310 vatnipp@usgs.gov Edits were made to bring the metadata up to current PCMSC standards including standardizing authors' names, adding a doi# link, correcting typos, refining keywords, and using current access and distribution liability statements. Point of Contact and Metadata Contact information sections were changed to static PCMSC contact information. No data were changed. The metadata available from a harvester may supersede metadata bundled within a download file. Users are advised to compare the metadata date of this file to any similar file to ensure they are using the most recent version. 20211101 U.S. Geological Survey Susan A. Cochran Geologist Mailing and Physical

2885 Mission Street

Santa Cruz CA 95060 831-460-7545 scochran@usgs.gov Vector String 49 Universal Transverse Mercator 10 0.9996 -123.00000 0.00000 500000.0 0.00 coordinate pair 2.0 2.0 Meters WGS84 WGS84 6378137.00 298.257223563 Contours_OffshorePacifica.shp The shapefile attributes include FID - Internal Feature Number, SHAPE - feature geometry, VALUE - code for the seafloor character classes, ID - feature ID, and CONTOUR - contour depth value. The shapefile can be added to any ESRI ArcMap project. ESRI FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry ESRI Polyline ID Unique identifier for each contour line. Value of 0 means the line segment has been generated during the smoothing process. ESRI 2 347 Double CONTOUR Contours are lines that connect points of equal depth based on the bathymetry grid. The contour values indicate the depth value the line represents. This makes it easier to identifier features on the seafloor. Contour lines were generated at 10-m intervals, from -10 m to -70 m, then the contours were clipped to the boundary of the map area. Values are negative to indicate depth below sea level. The value of 0 represents a line segment created during the smoothing process. USGS -70 -10 Integer values -10 to -70 representing depth intervals as described above U.S. Geological Survey mailing and physical address

345 Middlefield Rd

Menlo Park CA 94025-3561 USA (650) 329-4309 The .zip file (Contours_OffshorePigeonPoint.zip) includes the .aux, .dbf, .shp, .shx, .sbx, and .sbn files, as well as FGDC-compliant metadata for the bathymetric contour data layer of the Offshore Pigeon Point region of California. 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. shapefile ArcMap (version 10.0, ESRI , 2011) Point, line, and polygon features are in shapefile format and are projected in UTM Zone 10 coordinates, with datum WGS84. The .zip file for a shapefile includes the .aux, .dbf, .shp, .shx, .sbx, and .sbn files, as well as the text (.txt) and XML (.shp.xml) versions of the metadata for the Contours data layer of Offshore Pigeon Point, California. WinZip 1.7 https://www.sciencebase.gov/catalog/file/get/554809bde4b0a658d7955557 https://cmgds.marine.usgs.gov/data/csmp/OffshorePigeonPoint/data_catalog_OffshorePigeonPoint.html https://doi.org/10.3133/ds781 The first link will begin a direct download of the data. The second link is a landing page on which all of the downloadable data for a particular region are listed. The third link is a landing page for the entire data catalog. none The downloadable data file has been compressed with the "zip" command and can be unzipped with Winzip (or other tool) on Windows systems. To utilize these data, the user must have software capable of uncompressing the WinZip file and importing and viewing an Esri ArcMap TIFF. Users should download the ArcGIS Project File, OffshorePigeonPointGIS.mxd.zip, a compressed (with the "zip" command) version of the ArcMap document (.mxd) that has all the data layers loaded in the table of contents for "Offshore Pigeon Point" and has all the data symbolized as on the data release map sheets. Download and save this ArcGIS project file, including all data layers, to the directory the user has created for this GIS. 20211101 U.S. Geological Survey, Pacific Coastal and Marine Science Center PCMSC Science Data Coordinator mailing and physical

2885 Mission Street

Santa Cruz CA 95060-5792 US 831-427-4747 pcmsc_data@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time