Marine Geoscience Data System

Data DOI: 10.26022/IEDA/329674

Citation:
Bouligand, Claire, et al., (2020), AUV data depth and data height grids for the 15m (50m resolution) files (netCDF format), HD-YLAKE project, Yellowstone Lake. Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/329674
Title:
AUV data depth and data height grids for the 15m (50m resolution) files (netCDF format), HD-YLAKE project, Yellowstone Lake
Abstract:
This data set consists of interpolated grids of (a) the depth (data depth) below the lake surface (mean lake surface elevation value is 2358m above sea-level) and (b) altitude (data height) of the autonomous underwater vehicle (AUV) above the lake floor during the magnetic survey over hydrothermal sites in northern Yellowstone Lake. The AUV survey was conducted in July 2016 by Ocean Floor Geophysics Inc. (OFG) (https://www.oceanfloorgeophysics.com/). The data are measured approximately 15m above the lake floor and are interpolated onto a horizontal grid spacing of 50m. The files are 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.
Creator(s):
Bouligand, Claire
Tivey, Maurice
Finn, Carol
Morgan, Lisa
Shanks, Pat
Sohn, Robert
Date Available:
2020-07-10
Date Created:
2020-07-10
Data Type(s):
Elevation:Surface
Resource Type:
Dataset
File Format(s):
application/x-netcdf
Funding source(s):
National Science Foundation: 1516361
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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