Data DOI: 10.26022/IEDA/329854
Citation:
Wilcock, William, et al., (2020), Calibration sheets used with seafloor APG pressure data from trench-perpendicular benchmarks on the Cascadia margin, offshore central Oregon. Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/329854
Title:
Calibration sheets used with seafloor APG pressure data from trench-perpendicular benchmarks on the Cascadia margin, offshore central Oregon
Abstract:
This data set presents the calibration sheets that accompany the Absolute Pressure Gauge (APG) data from a set of seafloor benchmarks running trench-perpendicular on the Cascadia margin, offshore central Oregon, beginning in 2015. The information in the calibration sheets was used to convert the APG pressure and temperature time series data from counts to physical units. The pressure gauge sensors were made by Paroscientific and the platforms were designed and deployed by the University of Washington School of Oceanography and Applied Physics Lab (APL). The sensors were attached to free-fall deployed concrete benchmarks designed to also serve as a platform for the Scripps Institution of Oceanography’s Absolute Self-Calibrated Pressure Recorder (ASCPR), to obtain campaign-style drift-free reference pressures (not included in this data set). APGs collect absolute pressure (PSIA, dbar) and temperature (degrees C) data at a period of 100 seconds, and were deployed with battery packs and data storage sufficient for 10 years of data collection. The calibration sheets are in PDF format. There is one calibration sheet for each sensor. This data set was generated as part of the project called Constraints on Interseismic Deformation Offshore Oregon from Calibrated Continuous Pressure Records. Funding was provided through NSF award OCE15-58477.
Creator(s):
Wilcock, William
MacCready, Parker
Schmidt, David
Roland, Emily
Fredrickson, Erik
Date Available:
2020-10-23
Date Created:
2020-10-23
Data Type(s):
Documentation
Resource Type:
Dataset
File Format(s):
application/pdf
Funding source(s):
National Science Foundation: 1558477
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/
Related Information
IsReferencedBy:
doi: 10.1029/2019JB018053
IsSupplementTo:
doi: 10.26022/IEDA/329853