Marine Geoscience Data System

Data DOI: 10.26022/IEDA/330204

Citation:
Chadwick, William, et al., (2021), Near-Bottom AUV Conductivity, Magnetic Field, Navigation, Optical Backscatter, Oxygen, Pressure, Redox Potential, Sound Velocity and Temperature Data from the Axial Seamount, acquired during R/V Thomas G. Thompson expedition TN383 (2020). Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/330204
Title:
Near-Bottom AUV Conductivity, Magnetic Field, Navigation, Optical Backscatter, Oxygen, Pressure, Redox Potential, Sound Velocity and Temperature Data from the Axial Seamount, acquired during R/V Thomas G. Thompson expedition TN383 (2020)
Abstract:
This data set was acquired with a Reson Sound Velocity Sensor,RD Instruments DVL Sound Velocity Sensor,Seapoint Sensors, Inc. Optical Backscatter Sensor,Paroscientific 8B7000-1 Pressure Gauge, Redox Potential Sensor, Ranger Navigation System,iXblue Phins Navigation System,Sea-Bird Electronics SBE-49 FastCAT CTD, 1540 Magnetometer and Aanderaa Data Instruments 4330 Oxygen Optode Sensor on AUV Sentry during R/V Thomas G. Thompson expedition TN383 conducted in 2020 (Chief Scientist: Dr. William Chadwick, Investigators: Dr. William Chadwick, Dr. Scott Nooner, Dr. David Caress). These data files are of Text File (ASCII) format and include Conductivity, Magnetic Field, Navigation, Optical Backscatter, Oxygen, Pressure, Redox Potential, Sound Velocity and Temperature data that were processed after acquisition. Data were acquired as part of the project: Collaborative Research: Advancing Deformation Monitoring Methods at Axial Seamount. Funding was provided by NSF Awards: OCE17-36882, OCE17-36926, OCE17-37019. This data was cited by Fluegel et al., 2022.
Creator(s):
Chadwick, William
Nooner, Scott
Caress, David
Date Available:
2021-04-06
Date Created:
2021-04-06
Data Type(s):
Backscatter:Optical
Chemistry:RedoxPotential:Eh
Conductivity
Magnetic:Field
Navigation
Oxygen
Pressure
Temperature
Velocity:Sound
Resource Type:
Dataset
File Format(s):
text/plain
Funding source(s):
National Science Foundation: 1736882
National Science Foundation: 1736926
National Science Foundation: 1737019
Data Curated by:
Version:
1
Language:
en
License:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0] URI: http://creativecommons.org/licenses/by-nc-sa/3.0/us/

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