AUV magnetic anomaly gridded data from 7m above lake floor (netCDF format) over the Deep Hole hydrothermal vent site for the HD-YLAKE project, Yellowstone Lake
This data set consists of an interpolated grid of magnetic field anomaly over the Deep Hole hydrothermal site in northern Yellowstone Lake collected by an autonomous underwater vehicle (AUV) in July 2016 by Ocean Floor Geophysics Inc. (OFG) (https://www.oceanfloorgeophysics.com/). The grid was generated from data collected approximately 7m above the lake floor complemented with values from the grid of magnetic anomaly at 15m above the lake floor that have been downward continued to 7m height above lake floor. The downward-continued 15m grid values were used in areas outside the 7m survey area. The horizontal grid spacing is 10m. The file is in GMT-compatible netCDF grid format. Details of the grid interpolation and analysis are explained in Bouligand et al., 2020. The lake surface and AUV magnetic data sets were acquired under National Park Service research permit YELL-2016-SCI-7018. Maurice Tivey was supported under NSF IPA grant 1557455 to WHOI and WHOI internal funds. During the course of this study, Claire Bouligand was a visiting scientist at the U.S. Geological Survey in Menlo Park, California, USA and benefited from a delegation to Centre National de la Recherche Scientifique (CNRS) and received funding from CNRS-INSU program SYSTER. The data set was generated as part of the Hydrothermal Dynamics of Yellowstone Lake (HD-YLAKE) project and was supported by National Science Foundation grant EAR-1516361.
Bouligand, Claire
Investigator
UGA
Tivey, Maurice
Investigator
WHOI
Finn, Carol
Investigator
USGS
Morgan, Lisa
Investigator
USGS
Shanks, Pat
Investigator
USGS
Sohn, Robert
Investigator
WHOI
Device Info
Magnetometer
APS:1540
Platform
REMUS 600 (AUV)
SOI
Awards
Data DOI
Quality
2
The data have been processed/modified to a level beyond that of basic quality control (e.g. final processed sonar data, photo-mosaics).
Data Files
References
Acquisition Information
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