Sea-floor videos and location of bottom video tracklines collected in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey, University of Connecticut, and University of New Haven during field activities 2017-056-FA and 2018-018-FA (MP4 video files and polyline shapefile)

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Frequently anticipated questions:


What does this data set describe?

Title:
Sea-floor videos and location of bottom video tracklines collected in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey, University of Connecticut, and University of New Haven during field activities 2017-056-FA and 2018-018-FA (MP4 video files and polyline shapefile)
Abstract:
Two marine geological surveys were conducted in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey (USGS), University of Connecticut, and University of New Haven through the Long Island Sound Mapping and Research Collaborative. Sea-floor images and videos were collected at 210 sampling sites within the survey area, and surficial sediment samples were collected at 179 of the sites. The sediment data and the observations from the images and videos are used to identify sediment texture and sea-floor habitats.
Supplemental_Information:
See the larger work citation to view the geotagged sea-floor images, location of bottom images, and locations and grain-size analysis results of sediment samples collected during the surveys. For more information about these field activities, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2017-056-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-018-FA. These data were collected as part of a larger collaborative project, the Long Island Sound Habitat Mapping Initiative; for more information about this project, see https://lismap.uconn.edu/.
  1. How might this data set be cited?
    U.S. Geological Survey, 20201123, Sea-floor videos and location of bottom video tracklines collected in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey, University of Connecticut, and University of New Haven during field activities 2017-056-FA and 2018-018-FA (MP4 video files and polyline shapefile): data release DOI:10.5066/P9GK29NM, U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center, Woods Hole, Massachusetts.

    Online Links:

    This is part of the following larger work.

    Ackerman, Seth D., Huntley, Emily C., Blackwood, Dann S., Babb, Ivar G., Zajac, Roman N., Conroy, Christian W., Auster, Peter J., Schneeberger, Courtney L., and Walton, Olivia L., 2020, Sea-floor sediment and imagery data collected in Long Island Sound, Connecticut and New York, 2017 and 2018: data release DOI:10.5066/P9GK29NM, U.S. Geological Survey, Reston, VA.

    Online Links:

    Other_Citation_Details:
    Suggested citation: Ackerman, S.D., Huntley, E.C., Blackwood, D.S., Babb, I.G., Zajac, R.N., Conroy, C.W., Auster, P.J., Schneeberger, C.L., and Walton, O.L., 2020, Sea-floor sediment and imagery data collected in Long Island Sound, Connecticut and New York, 2017 and 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9GK29NM.
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -72.430183
    East_Bounding_Coordinate: -71.866847
    North_Bounding_Coordinate: 41.324710
    South_Bounding_Coordinate: 41.193187
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5de9bc9fe4b02caea0eeda3e/?name=2017-056-FA_and_2018-018-FA_videos_browse.jpg (JPEG)
    Map of sea-floor video tracklines in the survey area in Long Island Sound, Connecticut and New York.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 28-Nov-2017
    Ending_Date: 15-May-2018
    Currentness_Reference:
    Data were collected on the following dates: 20171128-20171203 and 20180508-20180515
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: raster and vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • String (218)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.00000001. Longitudes are given to the nearest 0.00000001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.
  7. How does the data set describe geographic features?
    2017-056-FA_and_2018-018-FA_videos
    Bottom video tracklines and bottom videos collected in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 during USGS field activities 2017-056-FA and 2018-018-FA. (Source: U.S. Geological Survey)
    FID
    Internal feature number. (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. (Source: Esri) Coordinates defining the features.
    FIELD_NO
    Site number as assigned in the field. (Source: U.S. Geological Survey) String used to distinguish site numbers.
    LINENAME
    Name of bottom video used to uniquely identify between surveys and video files: e.g., LISMaRC_Fall2017_20171128T125443Z_CLIP0000414.mp4 where LISMaRC_Fall2017 refers to the Long Island Sound Mapping and Research Collaborative survey season and year, 20171128T125443Z refers to the date and start time in the ISO 8601 standard (YYYYMMDD T [time separator] HHMMSS Z [Zulu/UTC time]), and CLIP0000414.mp4 refers to the sequential video number assigned to the video by the camera. (Source: U.S. Geological Survey) String used to distinguish bottom videos.
    STARTTIME
    Start time of the bottom video drift in UTC in the format HH:MM:SS. (Source: U.S. Geological Survey) String used to distinguish UTC start times of the bottom video.
    ENDTIME
    End time of the bottom video drift in UTC in the format HH:MM:SS. (Source: U.S. Geological Survey) String used to distinguish UTC end times of the bottom video.
    JD
    Julian day that the bottom video was collected based on UTC time; Julian day is the integer number representing the interval of time in days since January 1 of the year. (Source: U.S. Geological Survey)
    Range of values
    Minimum:128
    Maximum:337
    Units:Julian days
    Resolution:1
    DATE
    Date based on UTC time that the bottom video was collected in the format YYYYMMDD. (Source: U.S. Geological Survey) String used to distinguish dates.
    YEAR
    Year that the bottom video was collected. (Source: U.S. Geological Survey)
    Range of values
    Minimum:2017
    Maximum:2018
    Units:years
    Resolution:1
    LENGTH_M
    Length in meters of the bottom video trackline. Length was calculated in WGS 84 UTM Zone 18N. (Source: U.S. Geological Survey)
    Range of values
    Minimum:0.3
    Maximum:627.5
    Units:meters
    Resolution:0.1
    CAMERA
    Camera used to collect bottom video. (Source: U.S. Geological Survey) String used to distinguish between different camera models mounted on the sampling system; however, for these surveys, only one camera was used to collect bottom video.
    FA_ID
    Serial number assigned to the field activity during which the bottom video was collected. This value is in the format YYYY-XXX-FA where YYYY is the survey year, XXX is the number assigned to the activity within that year, and FA indicates Field Activity. (Source: U.S. Geological Survey) String used to distinguish field activities by year and ID number.
    DEVICE_ID
    Sampling device used to collect the bottom video. (Source: U.S. Geological Survey) String used to identify the sampling configuration used during the survey.
    VEHICLE_ID
    Vehicle (ship) used to collect data during the field activity. (Source: U.S. Geological Survey) String used to identify the survey vessel.
    COMMENTS
    Comments field with the USGS site number and University of Connecticut's Northeast Underwater Research, Technology and Education Center (NURTEC) site name for the spring 2018 survey. (Source: U.S. Geological Survey) String used to distinguish NURTEC site names for the spring 2018 survey.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    Seth Ackerman
    U.S. Geological Survey
    Geologist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 x2315 (voice)
    508-457-2310 (FAX)
    sackerman@usgs.gov

Why was the data set created?

This dataset provides access to the sea-floor videos and locations of bottom videos acquired with a Kongsberg Simrad OE1365 video camera on the SEABed Observation and Sampling System (SEABOSS) aboard the Research Vessel (R/V) Connecticut during USGS field activities 2017-056-FA (November 28 to December 3, 2017) and 2018-018-FA (May 8 to 15, 2018). These data were collected to explore the nature of the sea floor and to characterize the seabed by identifying sediment texture. Bottom videos serve as a means to visually classify grain size and identify sea-floor habitats, and they are especially important for sample sites where no physical sediment sample was collected.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 15-May-2018 (process 1 of 6)
    Step 1: Collected data.
    Two marine geological surveys were conducted in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018. The R/V Connecticut occupied one of the target sites and the SEABOSS was deployed off the vessel's A-frame on the stern of the ship. The SEABOSS was equipped with a modified Van Veen grab sampler, a Nikon D300 digital still camera with a Photosea strobe, two video cameras (one forward-looking so that a shipboard operator could monitor for proper tow depth and obstacles, and one downward-looking, a Kongsberg Simrad OE1365 in this setup, that overlapped with the field of view of the still camera) with a topside feed, a GoPro HERO4 Black camera recording backup video, and lights to illuminate the sea floor for video and photograph collection. The elements of this particular SEABOSS were held within a stainless-steel frame that measured 1.15 x 1.15 meters. The frame had a stabilizer fin that oriented the system as it drifted 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 sea-floor images and videos depending on the bottom type and distance to the sea floor. A third laser is positioned at an angle so that when it intersects the other lasers, the SEABOSS is at the optimum height (approximately 75 centimeters) off the bottom for a photograph. The winch operator lowered the SEABOSS until the sea floor was observed in the topside live video feed. For those sites that were primarily targeted for a sediment grab, the vessel and SEABOSS 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; for those sites that were targeted for both a video transect of the sea floor and a sediment grab, the vessel was navigated along a planned transect for up to an hour. A scientist monitored the real-time bottom video and acquired bottom photographs at points of interest by remotely triggering the Nikon camera shutter. Bottom video was also recorded during the drift from the downward-looking Kongsberg video camera directly to hard drives using an Odyssey7 video recorder. Then, at most sites the winch operator lowered the Van Veen grab sampler until it rested on the sea floor. When the system was raised, the Van Veen grab 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 grain-size analysis at the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center. A total of 210 sites were occupied aboard the R/V Connecticut with the SEABOSS: 93 sites were occupied in fall 2017 during field activity 2017-056-FA, and 117 sites were occupied in spring 2018 during field activity 2018-018-FA. Bottom videos were acquired at all 210 sites. Person who carried out this activity:
    Seth Ackerman
    U.S. Geological Survey
    Geologist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 x2315 (voice)
    508-457-2310 (FAX)
    sackerman@usgs.gov
    Data sources produced in this process:
    • Original bottom video
    Date: Sep-2018 (process 2 of 6)
    Step 2: Acquired and processed navigation.
    During the surveys, WAAS-enabled GPS navigation from a Garmin GPSMAP 76C receiver was logged through a DataBridge data logger and ArcMap GPS. The GPS was set to receive fixes at a 2-second interval in geographic coordinates (WGS 84). Dates and times were recorded in Coordinated Universal Time (UTC). Log files were saved for each Julian day in text format. An AWK script (parse_gprmc17056.awk for the fall 2017 log files and parse_gprmc18018.awk for the spring 2018 log files) was used to parse the GPRMC navigation string from the log files for each survey and create ASCII Comma Separated Values (CSV) text files. The output files were merged for each survey and then reformatted using an AWK script (nav_time_reformat.awk), creating a processed navigation CSV text file for each sampling survey. Person who carried out this activity:
    Seth Ackerman
    U.S. Geological Survey
    Geologist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 x2315 (voice)
    508-457-2310 (FAX)
    sackerman@usgs.gov
    Data sources produced in this process:
    • Processed DataBridge navigation files
    Date: Dec-2018 (process 3 of 6)
    Step 3: Processed video files.
    A shell script (do_concat_and_TCBurn.sda) was run on the original video files to join the video clips for each site (the Odyssey7 splits clips into less than 4 GB segments) and transcode the video from MOV to MP4 format. The script also created a text file for each survey with the date, start time, and duration of each video recording. The timecode from the videos used to create the text files was unreliable, so the start times in the text files were checked and modified using the GPS time overlay from each video's first frame. The videos were renamed to include LISMaRC (which stands for Long Island Sound Mapping and Research Collaborative), season, year, and date and start time in the ISO 8601 standard (YYYYMMDD T [time separator] HHMMSS Z [Zulu/UTC time]) in the filename. Person who carried out this activity:
    Seth Ackerman
    U.S. Geological Survey
    Geologist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 x2315 (voice)
    508-457-2310 (FAX)
    sackerman@usgs.gov
    Data sources used in this process:
    • Original bottom video
    Data sources produced in this process:
    • Final bottom video
    • Start times/durations text files
    Date: Mar-2019 (process 4 of 6)
    Step 4: Prepared navigation for video trackline script.
    Before creating the video tracklines shapefile, the navigation files were checked for erroneous and missing fixes and prepared for the video trackline script. To prepare the navigation data, first, a column of the original source filename was deleted from each processed navigation CSV text file (DataBridgeNav_GPRMC_ALL.csv for fall 2017 and 2018018_AllDataBridgeNav_parsed.csv for spring 2018) and the time field was formatted to a fixed-length number with six digits in Microsoft Excel 2016 for Mac, which added leading zeros as necessary. Rows with no coordinates were then deleted, and typos in the time and date were corrected as needed. Next, shapefiles were created from each CSV file in Esri ArcGIS (version 10.3.1) and used to identify erroneous fixes, which were deleted from the CSV text files. The shapefiles were also used to identify gaps in the navigation. For the fall 2017 data, missing navigation was interpolated in Esri ArcGIS to get 2-second navigation for site NB32 (clip 448) where the navigation dropped out for 154 seconds on Julian day 333. To do this, a line segment was created between the last and first known fixes around this gap (between GPS times 22:49:38 and 22:52:12). The Construct Points editing tool was used to create 153 evenly spaced points along the line segment so that a point was created for each second. The coordinates of the points were calculated using the Calculate Geometry tool (Property=X Coordinate of Point and Y Coordinate of Point; Use coordinate system of the data source=WGS 1984; Unit=Decimal Degrees). The interpolated points with even seconds were selected and exported as a CSV file (points with even seconds were extracted so that the navigation was interpolated at a 2-second interval), the coordinates were rounded to seven decimal places in Microsoft Excel 2016 for Mac, and the points were added to the processed navigation CSV text file. For the spring 2018 survey, the navigation was also logged using ArcMap GPS, so shapefiles of the ArcMap GPS logs were used to fill in gaps. Any feature from the ArcMap GPS logs not within 0.1 meters of the original navigation was selected, exported, and added to the navigation CSV file. Concurrent fixes were deleted, and any gaps 6 seconds or larger were filled in using data from the ArcMap GPS logs if available (these points intersect other fixes and were not originally exported). Finally, the fields in the navigation CSV text files (now named DataBridgeNav_GPRMC_ALL_for_videos.csv for fall 2017 and 2018018_AllDataBridgeNav_parsed_w_ArcMap_GPS_Logs_for_videos.csv for spring 2018) were reordered and formatted to be used with the video trackline script. This process step and the subsequent process steps were performed by the same person, Emily Huntley. Person who carried out this activity:
    Emily Huntley
    U.S. Geological Survey
    Geographer/Database Specialist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 (voice)
    508-457-2310 (FAX)
    ehuntley@contractor.usgs.gov
    Data sources used in this process:
    • Processed DataBridge navigation files
    • ArcMap GPS navigation files
    Data sources produced in this process:
    • Final navigation files
    Date: Mar-2019 (process 5 of 6)
    Step 5: Created a CSV file of the bottom video trackline points.
    A Jupyter Notebook Python script (Video_trackline_prep_WORKING_v2.ipynb) was run for each survey to create a CSV file of the bottom video trackline points by extracting the navigation data for each video drift using information from the start times/durations text files. The script reads the video start time and duration from the text files, calculates the video end time, extracts the navigation points that fall within those start and end times, and exports the navigation points to a CSV file. Data sources used in this process:
    • Final navigation files
    • Start times/durations text files
    Data sources produced in this process:
    • Bottom video trackline points CSV files
    Date: Sep-2019 (process 6 of 6)
    Step 6: Created the final bottom video tracklines shapefile.
    Point shapefiles were created for each survey using the bottom video trackline points CSV files in Esri ArcGIS (version 10.3.1). The Points to Line tool was then run for each survey with the video trackline points as the input features and the video filenames as the line field to create a polyline shapefile of the video tracklines. Two videos acquired in fall 2017 (clips 424 and 494) were less than 1 second and were not mapped. XTools Pro (version 12.0) for Esri ArcGIS was used to rename, reorganize, and add new fields (Table Operations - Table Restructure) to the polyline shapefiles, including an attribute for the site number of the video trackline (FIELD_NO), start time of the bottom video drift in UTC (STARTTIME), end time of the video drift in UTC (ENDTIME), Julian day of collection (JD), date of collection (DATE), year of collection (YEAR), trackline length in meters (LENGTH_M), camera used (CAMERA), survey ID (FA_ID), sampling device used to collect the video (DEVICE_ID), survey vessel (VEHICLE_ID), and University of Connecticut's NURTEC site name for the spring 2018 survey (COMMENTS). XTools Pro changed some of the bottom video trackline features from singlepart to multipart features if they overlapped or intersected themselves. To correct this, the Spatial Join tool was run for each survey with the original bottom video tracklines shapefile as the input features and the updated tracklines shapefile as the join features using the intersect match option to add the updated attributes to the original singlepart features. Unnecessary fields created when running the Spatial Join tool were deleted (i.e., Join_Count and TARGET_FID). Next, the bottom video tracklines shapefiles for each survey were joined with the trackline points shapefiles to add the start and end times of the video drifts (STARTTIME and ENDTIME, respectively), Julian day of collection (JD), and date of collection (DATE). Then, the trackline length (LENGTH_M) was calculated using the Calculate Geometry tool (Property=Length; Use coordinate system of the data frame=WGS 1984 UTM Zone 18N; Unit=Meters). The bottom video tracklines shapefiles for each survey were then joined with the survey logs to assign the site number (FIELD_NO) of each video trackline and, for the spring 2018 data, NURTEC site name (COMMENTS). Three tracklines from fall 2017 were for videos used for camera calibration (clips 418, 443, and 451) and were removed. The trackline shapefiles for each survey were combined using the Merge tool and reordered using the Sort tool to sort the video tracklines in chronological order (YEAR, JD, and STARTTIME sort fields in ascending order). Finally, the bottom video line names (LINENAME) were updated to match the new video filenames, which include LISMaRC (which stands for Long Island Sound Mapping and Research Collaborative), season, year, and date and start time in the ISO 8601 standard in the filename. Data sources used in this process:
    • Bottom video trackline points CSV files
    • Survey logs
    Data sources produced in this process:
    • Final bottom video tracklines shapefile
  3. What similar or related data should the user be aware of?

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The end time of the video drift used to map the bottom video tracklines (field ENDTIME in the shapefile) was calculated using the video start time and duration. This end time may be off by up to 2 seconds and was not assessed for accuracy by comparing it with the Global Positioning System (GPS) time overlay on the video's last frame (the videos have an overlay of the GPS time, date, latitude, and longitude).
  2. How accurate are the geographic locations?
    Sources of horizontal inaccuracy may be due to the video end time used to create the shapefile or the navigation data. The end time of the video drift used to map the bottom video tracklines (field ENDTIME in the shapefile) was calculated using the video start time and duration, rather than using the GPS time overlay on the video's last frame. The calculated end time may be off by up to 2 seconds and accounts for +/- 1 meter of horizontal uncertainty. Navigation for field activities 2017-056-FA and 2018-018-FA used Wide Area Augmentation System (WAAS)-enabled GPS. The GPS was set to receive fixes at a 2-second interval in geographic coordinates (World Geodetic System of 1984 [WGS 84]), so videos were geolocated using the closest available fix. The recorded position of each point along the video trackline is the position of the GPS antenna on the survey vessel, located on the aft port side of the R/V Connecticut, not the location of the SEABOSS. The antenna was located approximately 5 meters from the SEABOSS deployment location in fall 2017 and 3 meters in spring 2018. No layback or offset was applied to the recorded position. In addition, the SEABOSS 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 video trackline locations is 10 meters. At times the ship was moving so slowly that the resolution of the GPS makes a trackline appear to double back on itself. In fall 2017, the navigation dropped out for 154 seconds on Julian day 333 (November 29) at site NB32 when acquiring video clip 448, so the missing navigation was interpolated using the last and first known fixes around this gap (between GPS times 22:49:38 and 22:52:12).
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This dataset includes bottom videos in MP4 format and a trackline shapefile of the location of the ship for the duration of the video collected during field activities 2017-056-FA and 2018-018-FA. Two hundred ten sites were occupied within the study area, and bottom videos were acquired at all 210 sites. Five videos acquired in fall 2017 are not included in this publication: two of these videos were less than 1 second (clips 424 and 494) and three were used for camera calibration (clips 418, 443, and 451). Each deployment of the SEABOSS is generally considered a unique site. However, five sites (sites SB64_2, 2018-018-024, 2018-018-089, 2018-018-094, and 2018-018-104) had two separate deployments because a sediment grab was not successfully collected during the first deployment; video was not acquired during the second grab attempt at four of these sites (sites SB64_2, 2018-018-024, 2018-018-094, and 2018-018-104). The videos for two sites occupied in fall 2017 (clip 431 from site NB42 and clip 460 from site SB53) were left on once the SEABOSS was recovered, so the videos were clipped to the duration that the camera was within view of the sea floor. The other videos may include up to a minute of sampler retrieval once the SEABOSS was lifted off the sea floor. This dataset includes 218 videos with a total duration of 48 hours 30 minutes and 218 video tracklines with a total length of 41.4 kilometers.
  5. How consistent are the relationships among the observations, including topology?
    All bottom videos were acquired using a Kongsberg Simrad OE1365 video camera on the SEABOSS. Five sites occupied in spring 2018 (sites 2018-018-009, 2018-018-037, 2018-018-066, 2018-018-067, and 2018-018-089) have more than one video clip and trackline. Each deployment of the SEABOSS is generally considered a unique site, so most of these sites have multiple videos from the same deployment due to an error with the video recorder. At one site (site 2018-018-089), however, the videos are from two separate deployments; an oyster shell was stuck in the grab sampler jaws after the first deployment's sediment grab attempt, so the sampler was redeployed and not given a new site number. Gaps in sequential clip numbers exist because calibration videos and videos less than 1 second were not mapped. The clip numbers are not necessarily in chronological order; in fall 2017, the video recorder froze when recording clip 494 at site NB65, so the backup video was later used to generate clip 498 for this site. For the spring 2018 survey, the University of Connecticut's Northeast Underwater Research, Technology and Education Center (NURTEC) assigned different names to the sites, which are available in the comments field (COMMENTS). Some USGS site numbers (FIELD_NO) have the same NURTEC site name (e.g., sites 2018-018-011 and 2018-018-012 are both NURTEC site NB64-T) because the NURTEC site names are based on the target sampling site names. The tracklines may self-intersect or self-overlap; at times the ship was moving so slowly that the resolution of the GPS makes a trackline appear to double back on itself.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
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 originator of the dataset.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO
    USA

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? Sea-floor videos and location of bottom video tracklines collected in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey, University of Connecticut, and University of New Haven during field activities 2017-056-FA and 2018-018-FA. This dataset contains the following files: a shapefile of the bottom video trackline locations (2017-056-FA_and_2018-018-FA_videos.shp); 218 bottom videos from the Kongsberg Simrad OE1365 video camera in eight zip files (mp4_20171128-20171130.zip, mp4_20171201-20171202.zip, mp4_20171203.zip, mp4_20180508.zip, mp4_20180509.zip, mp4_20180510-20180511.zip, mp4_20180512-20180513.zip, and mp4_20180514-20180515.zip); a browse graphic of bottom video trackline locations (2017-056-FA_and_2018-018-FA_videos_browse.jpg); and a Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM) metadata file (2017-056-FA_and_2018-018-FA_videos_meta.xml).
  3. What legal disclaimers am I supposed to read?
    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. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  4. How can I download or order the data?
    • Availability in digital form:
      Data format: This dataset contains a shapefile of bottom video trackline locations and videos of the sea floor collected by the U.S. Geological Survey, University of Connecticut, and University of New Haven in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 and the associated metadata. The transfer size of the shapefile, browse graphic, and associated metadata is 1.4 MB. The MP4 videos are available in eight zip files with a total transfer size of approximately 54.2 GB. in format Shapefile (version Esri ArcGIS 10.3.1) Shapefile Size: 54173
      Network links: https://www.sciencebase.gov/catalog/item/5de9bc9fe4b02caea0eeda3e
      https://doi.org/10.5066/P9GK29NM
      Data format: This dataset contains a shapefile of bottom video trackline locations and videos of the sea floor collected by the U.S. Geological Survey, University of Connecticut, and University of New Haven in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 and the associated metadata. The transfer size of the shapefile, browse graphic, and associated metadata is 1.4 MB. The MP4 videos are available in the following eight zip files with a total transfer size of approximately 54.2 GB: mp4_20171128-20171130.zip, which contains 50 videos collected on November 28-30, 2017 (Julian days 332-334), and has a file size of 8.6 GB; mp4_20171201-20171202.zip, which contains 30 videos collected on December 1-2, 2017 (Julian days 335-336) and has a file size of 6.1 GB; mp4_20171203.zip, which contains 13 videos collected on December 3, 2017 (Julian day 337), and has a file size of 4.1 GB; mp4_20180508.zip, which contains 20 videos collected on May 8, 2018 (Julian day 128), and has a file size of 6.7 GB; mp4_20180509.zip, which contains 13 videos collected on May 9, 2018 (Julian day 129), and has a file size of 7.6 GB; mp4_20180510-20180511.zip, which contains 33 videos collected on May 10-11, 2018 (Julian days 130-131), and has a file size of 8.8 GB; mp4_20180512-20180513.zip, which contains 38 videos collected on May 12-13, 2018 (Julian days 132-133), and has a file size of 7.9 GB; mp4_20180514-20180515.zip, which contains 21 videos collected on May 14-15, 2018 (Julian days 134-135), and has a file size of 4.3 GB. in format MP4 Size: 54173
      Network links: https://www.sciencebase.gov/catalog/item/5de9bc9fe4b02caea0eeda3e
      https://doi.org/10.5066/P9GK29NM
    • Cost to order the data: none

  5. What hardware or software do I need in order to use the data set?
    This dataset contains data available as a polyline shapefile and MP4 video files. The user must have software capable of reading shapefile format to use the polyline shapefile. A video viewer can be used to see the MP4 video files.

Who wrote the metadata?

Dates:
Last modified: 23-Nov-2020
Metadata author:
Emily Huntley
U.S. Geological Survey
Geographer/Database Specialist
384 Woods Hole Rd.
Woods Hole, MA
USA

508-548-8700 (voice)
508-457-2310 (FAX)
ehuntley@contractor.usgs.gov
Metadata standard:
FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9GK29NM/2017-056-FA_and_2018-018-FA_videos_meta.faq.html>
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