Data and code to accompany the manuscript Early onset of Franciscan subduction

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 26 Jan 2018Publisher:ZenodoFunded by:NSF | Collaborative Research: D..., NSF | Collaborative Research: D...

Authors: Mulcahy, Sean R.; Jesslyn K. Starnes; Day, Howard W.; Coble, Matthew C.; Vervoort, Jeffrey D.;

Code repository: https://github.com/srmulcahy/2018-mulcahy-franciscan/tree/1.0

doi: 10.5281/zenodo.1161276 , 10.5281/zenodo.1161275

Data and code to accompany the manuscript Early onset of Franciscan subduction

- Summary
- Metrics

Abstract

Data, code, and analysis for the manuscript Early onset of Franciscan subduction in Tectonics. Mulcahy, S. R., Starnes, J. K., Day, H. W., Coble, M. A. & Vervoort, J. D. (2018). Early onset of Franciscan subduction. Tectonics, 37. https://doi.org/10.1029/2017TC004753

Related Organizations

University of California, Davis
United States
Washington State University
United States
Stanford University
United States
University of California, Berkeley
United States

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average