Supporting Information for "Evidence for a Locally Thinned Lithosphere Associated with Recent Volcanism at Aramaiti Corona, Venus"
View DatasetDescription
e#output##.dat: Data and modeled results containing the topographic profiles and axisymmetric flexure modeling corresponding to figures 3a, 4a, and 5a. Two files for each profile exist corresponding to E = 5, 65 GPa.
Columns are as follows:
- profile #
- distance from beginning of profile (m)
- detrended stereo elevation (m)
- best fit he (km)
- modeled deflection outboard of load (m)
- radial flexural stress (Pa) ------------------------------------------------------------- fig3b_profile5.dat: Data corresponding to figure 3b, he vs RMS misfit for different combinations of r1 and r2 for profile 5. Columns are as follows:
- he (km)
- r1 (km)
- r2 (km)
- RMS misfit (m) ------------------------------------------------------------- fig_4b_all.dat: Data corresponding to figure 4b, he vs RMS misfit for all profiles. Columns are as follows:
- profile #
- he (km)
- RMS misfit (m) ------------------------------------------------------------- swath2_narina_clip.zip: - clip of the stereo-derived topography used for flexural modeling in this study - the zipfile contains a geotiff (geolocated tiff file for use in GIS software) and auxiliary files. - References below. Full documentation of the processing applied is now available at the PDS https://pds-geosciences.wustl.edu/mgn/urn-nasa-pds-magellan_stereo_topography/document/magellan_stereo_topography_description.pdf Herrick, R. R., Stahlke, D. L., & Sharpton, V. L. (2012). Fine‐scale Venusian topography from Magellan stereo data. Eos, Transactions American Geophysical Union, 93(12), 125-126. doi:10.1029/2012EO120002 Herrick, R. R. (2020). MGN RDRS Magellan Stereo-Derived Topography Mosaic (Derived Data). NASA Planetary Data System. doi:10.17189/1519332
Citations (0)
No citations found
Mentions (0)
No mentions found
Metrics Over Time
Publication Details
DOI
Publisher
Zenodo
Subfield
Astronomy and Astrophysics
Field
Physics and Astronomy
Domain
Physical Sciences
Confidence Score
99%
Source
Open Alex