In situ seafloor images from the lower Columbia River, Washington and Oregon, 2021
In situ seafloor images were acquired at four sites (SKM, SLG, LDB, WLW) in the lower Columbia River, Washington and Oregon, with an underwater camera system between June 5 and June 8, 2021. Between 248 and 427 digital images of the sediment surface were collected at each site with an underwater camera system that was repeatedly lowered to the seabed along a series of 1 km-long transects oriented along the main navigation channel and spaced about 60 m apart. The camera consisted of a FLIR Blackfly BFS-PGE ... |
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Surface sediment grain diameter measurements from point counts of in situ seafloor images collected in the lower Columbia River, Washington and Oregon, 2021
This dataset contains surface sediment grain diameter measurements from in situ seafloor images collected in the lower Columbia River, Washington and Oregon, in 2021. Surface sediment grain diameters were derived from manual measurements (or "point counts") in a subset of images used to calibrate and validate an automated image processing algorithm to determine surface sediment grain size distributions. For each calibration and validation image that was selected, the long and short axis of 100 grains were ... |
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Surface sediment grain size distributions derived from manual point counts of in situ seafloor images from the lower Columbia River, Washington and Oregon, 2021
This dataset contains surface sediment grain size distributions derived from manual point counts of in situ seafloor images obtained with an underwater camera system in the lower Columbia River, Washington and Oregon, in 2021. The distributions derived from manual point counts were compared with results from an automated image processing technique to calibrate and validate the automated method used to quantify surface sediment grain size distributions in objective images. The surface sediment grain size ... |
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Vessel-mounted acoustic Doppler current profiler (ADCP) data from the lower Columbia River, Washington and Oregon, 2021
This dataset contains water velocity data derived from spatial surveys performed with a vessel-mounted acoustic Doppler current profiler at four sites (SKM, SLG, LDB, WLW) in the lower Columbia River, Washington and Oregon, in 2021. The data are provided in netCDF (.nc) format and compressed into .zip archives for each site. |
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Multichannel Seismic-Reflection and Navigation Data Collected Using Sercel GI Guns and Geometrics GeoEel Digital Streamers During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA
In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echosounder data along the U.S Atlantic margin between North Carolina and New Jersey to determine the distribution of methane gas ... |
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Sonobuoy Seismic and Navigation Data Collected Using Sercel GI Guns and Ultra Electronics Seismic Sonobuoys During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA
In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echo sounder data along the U.S Atlantic margin between North Carolina and New Jersey to determine the distribution of methane gas ... |
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GNSS locations of lakebed images collected near Dollar Point, Lake Tahoe, CA, March 10 and 11, 2021
This text file (2021-607-FA_Image_Locations.txt) provides the GNSS antenna location for underwater images collected near Dollar Point, Lake Tahoe, CA, using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The GNSS antenna location for the time of each image capture is presented with greater precision than is stored in the individual image’s EXIF header due to decimal place limitations of the EXIF format. |
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Overlapping lakebed images collected near Dollar Point, Lake Tahoe, CA, March 10 and 11, 2021
Underwater images were collected near Dollar Point, Lake Tahoe, CA, using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The images are organized in zipped files grouped by survey line. The SQUID-5 system records images as TIFF (.tif) format to maintain the highest resolution and bit depth. Each image includes EXIF metadata, containing GNSS date, time, and latitude and longitude of the GNSS antenna mounted on the towed surface vehicle, copyright, keywords, and ... |
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Bathymetry and seafloor acoustic backscatter of mobile subaqueous sand dunes in the lower Columbia River, Washington and Oregon, 2021
Bathymetry and seafloor acoustic backscatter data were collected at four sites (SKM, SLG, LDB, WLW) using a SWATHPlus interferometric sonar (234 kHz) pole mounted to the R/V Parke Snavely during a June 2021 survey of the lower Columbia River, Washington and Oregon. Each site was surveyed repeatedly between June 5 and June 9, 2021 to quantify bathymetric changes resulting from migration of subaqueous sand dunes. The bathymetry and seafloor acoustic backscatter data from each site are provided as GeoTIFF ... |
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Surface sediment grain size distributions derived from automated image processing of in situ seafloor images from the lower Columbia River, Washington and Oregon, 2021
This dataset contains surface sediment grain size distributions derived from automated image processing of in situ seafloor images obtained with an underwater camera system at four sites (SKM, SLG, LDB, WLW) in the lower Columbia River, Washington and Oregon, in 2021. The surface sediment grain size distribution data are provided in comma-separated text (.csv) format for each site and for data used in calibration and validation of the automated image processing technique. |
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Chirp sub-bottom data collected in 2019 in Whiskeytown Lake, California during USGS field activity 2018-686-FA
These metadata describe high-resolution chirp sub-bottom data collected in May 2019 in Whiskeytown Lake, California. Data were collected and processed by the the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity number 2018-686-FA. The chirp sub-bottom data are provided in SEG-Y format. |
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Chirp sub-bottom data collected in Lake Crescent, Washington during USGS field activity 2019-622-FA
Chirp sub-bottom data were collected by the U.S. Geological Survey in August of 2019 in Lake Crescent, Washington. |
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Acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA
2-m resolution acoustic-backscatter data were collected during a July 2019 SWATHPlus survey of Ozette Lake, Washington. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity number 2019-622-FA. The 2-m acoustic-backscatter data are provided as a GeoTIFF image. |
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Bathymetry data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA
Bathymetry data were collected during a July 2019 SWATHPlus survey of Ozette Lake, Washington. Data were collected and processed by the the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity number 2019-622-FA. The 2-m bathymetry data are provided as a GeoTIFF image. |
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Acoustic-backscatter data for Jenkinson Lake, California collected during USGS field activity 2022-604-FA
Here January 2022 1-m resolution acoustic-backscatter data are provided for Jenkinson Lake, California. Acoustic-backscatter data were collected during three separate SWATHPlus surveys of Jenkinson Lake. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity numbers 2022-604-FA (January 2022), 2022-649-FA (August 2022), and 2023-634-FA (July 2023). Data are provided as a GeoTIFF image. |
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Acoustic-backscatter data for Jenkinson Lake, California collected during USGS field activity 2022-649-FA
Here August 2022 1-m resolution acoustic-backscatter data are provided for Jenkinson Lake, California. Acoustic-backscatter data were collected during three separate SWATHPlus surveys of Jenkinson Lake. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity numbers 2022-604-FA (January 2022), 2022-649-FA (August 2022), and 2023-634-FA (July 2023). Data are provided as a GeoTIFF image. |
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Acoustic-backscatter data for Jenkinson Lake, California collected during USGS field activity 2023-634-FA
Here July 2023 1-m resolution acoustic-backscatter data are provided for Jenkinson Lake, California. Acoustic-backscatter data were collected during three separate SWATHPlus surveys of Jenkinson Lake. Data were collected and processed by the the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity numbers 2022-604-FA (January 2022), 2022-649-FA (August 2022), and 2023-634-FA (July 2023). Data are provided as a GeoTIFF image. |
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Bathymetry data for Jenkinson Lake, California collected during USGS field activity 2022-604-FA
Here January 2022 1-m resolution bathymetry data of Jenkinson Lake, California are provided for the entire lake and 0.5-m resolution bathymetry data are provided for the shallower upper basin. Bathymetry data were collected during three separate SWATHPlus surveys of Jenkinson Lake. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity numbers 2022-604-FA (January 2022), 2022-649-FA (August 2022), and 2023-634-FA ... |
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Bathymetry data for Jenkinson Lake, California collected during USGS field activity 2022-649-FA
Here August 2022 1-m resolution bathymetry data of Jenkinson Lake, California are provided for the entire lake and 0.5-m resolution bathymetry data are provided for the shallower upper basin. Bathymetry data were collected during three separate SWATHPlus surveys of Jenkinson Lake. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity numbers 2022-604-FA (January 2022), 2022-649-FA (August 2022), and 2023-634-FA (July ... |
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Bathymetry data for Jenkinson Lake, California collected during USGS field activity 2023-634-FA
Here July 2023 1-m resolution bathymetry data of Jenkinson Lake, California are provided for the entire lake and 0.5-m resolution bathymetry data are provided for the shallower upper basin. Bathymetry data were collected during three separate SWATHPlus surveys of Jenkinson Lake. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) with fieldwork activity numbers 2022-604-FA (January 2022), 2022-649-FA (August 2022), and 2023-634-FA (July ... |
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Information on sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA
This dataset presents core information such as core IDs, section numbers, lengths, depth intervals, and locations from sediment cores collected in southern Cascadia (offshore northern California) aboard the M/V Bold Horizon in September-October 2019. An inventory of core section CT, MSCL, and photograph scan files available in this data release are listed here. |
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Computed tomography (CT) scans of sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA
This dataset includes computed tomography (CT) scan imagery of sediment cores collected in southern Cascadia (offshore northern California) aboard the M/V Bold Horizon in September-October 2019. |
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Multi-sensor core logger (MSCL) scans of sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA
This dataset includes multi-sensor core logger (MSCL) data of sediment cores collected in southern Cascadia (offshore northern California) aboard the M/V Bold Horizon in September-October 2019. |
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Photographs of sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA
This dataset includes photographs (linescan images) of sediment cores collected in southern Cascadia (offshore northern California) aboard the MV Bold Horizon in September-October 2019. |
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Radiocarbon age data from sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA
This dataset presents radiocarbon data from 87 samples from sediment cores collected in southern Cascadia (offshore northern California) aboard the M/V Bold Horizon in September-October 2019. Sample ages were determined by the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility and the W.M. Keck Carbon Cycle Accelerator Mass Spectrometry (KCCAMS) facility at the University of California, Irvine (UCI). |
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Boomer seismic-reflection and navigation data collected in Ozette Lake, Washington, in 2019.
Boomer seismic-reflection data and associated navigation files were collected in Ozette Lake, Washington, in 2019 for use in regional earthquake hazard assessments relating the Cascadia Subduction Zone. |
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Chirp sub-bottom data collected in Ozette Lake, Washington, in 2019
Chirp seismic reflection data and associated navigation files were collected in Ozette Lake, Washington, in 2019 for use in regional earthquake hazard assessments relating the Cascadia Subduction Zone. Dataset includes both raw and processed chirp data. |
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Computed tomography (CT) scans of cored collected in Ozette Lake, Washington, between 2019 and 2021
Sediment cores were collected in Ozette Lake, Washington, from 2019 to 2021. Cores were scanned using Computed Tomography (CT). These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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Coordinates of sediment cores collected in Ozette Lake Washington, from 2019 to 2021.
Sediment cores and sub-bottom profiles were collected in Ozette Lake, Washington, from 2019 to 2021. These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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Grainsize data from vibracores collected in Ozette Lake, Washington, in 2019
Grainsize data were collected from select sediment cores from Ozette Lake, Washington, in 2019. These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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Multi-sensor core logger (MSCL) data of vibracores and bob-cores collected in Lake Ozette, from 2019 to 2021
This dataset includes multi-sensor core logger (MSCL) data from sediment cores collected in Lake Ozette, Washington. The sediment cores were collected during USGS field activities 2019-622-FA and 2021-641-FA for investigating submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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Photoscans of cores collected in Ozette Lake, Washington, between 2019 and 2021
Seismic-reflection data and cores were collected in Ozette Lake, Washington, from 2019 to 2021. These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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Radiocarbon age data from vibracores collected in Ozette Lake, Washington, in 2019
Seismic reflection data and cores were collected in Ozette Lake, Washington, in 2019. Radiocarbon samples were taken from cores in select locations. These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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X-ray Fluorescence (XRF) scans of vibracores collected in Ozette Lake, Washington, in 2019.
Sediment cores were collected in Ozette Lake, Washington, in 2019, and cores were scanned using X-ray fluorescence (XRF). These data were used to investigate submarine landslide deposits triggered by large Cascadia Subduction Zone earthquakes. |
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