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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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CAP22 Tomographic model: Data, Software, Plotting

Authors: Boyce, Alistair;

CAP22 Tomographic model: Data, Software, Plotting

Abstract

CAP22 (Boyce et al., 2023), is an absolute P-wavespeed tomographic model with focus on North American, specifically Canadian and Alaskan, mantle structure, provided with and without crustal correction. Please cite the following work when using this data set: Boyce, A., Liddell, M. V., Pugh, S., Brown, J., McMurchie, E., Parsons, A., Estève, C., Burdick, S., Darbyshire, F. A., Cottaar, S. Bastow, I. D., Schaeffer, A. J., Audet, P., Schutt, D. L., Aster, R. C. (2023). A new P-wave tomographic model (CAP22) for North America: Implications for the subduction and cratonic metasomatic modification history of western Canada and Alaska. Journal of Geophysical Research: Solid Earth, 128, e2022JB025745. https://doi.org/10.1029/2022JB025745 This repository accompanies the publication of the tomographic model on the IRIS-EMC that can be found here: https://ds.iris.edu/ds/products/emc-cap22/ or with the following doi: 10.17611/dp/emc.2023.cap22.1. Please find CAP22 and its related files for a detailed description of the distributed model. The CAP22_TOMO_SHARE.tar repository contains: Raw_data: Hand-picked and processed seismic data (.SAC) from western Canada and Alaskan seismic networks. Original_documentation: Documentation for original distribution of inversion code from MIT global seismology group. Tomography_CAP22: Implementation of MIT inversion algorithm used to produce CAP22 including formatted data. Plotting: Codes and necessary files to reproduce figures in main manuscript. The following authors contributed to this work: A. Boyce: University of Cambridge, Department of Earth Science, Bullard Laboratories, Madingley Road, Cambridge, UK. M. V. Liddell: Centre de recherche Geotop, Université du Québec à Montréal, QC, Canada. S. Pugh: University of Cambridge, Department of Earth Science, Bullard Laboratories, Madingley Road, Cambridge, UK. J. Brown: University of Cambridge, Department of Earth Science, Bullard Laboratories, Madingley Road, Cambridge, UK. E. McMurchie: University of Cambridge, Department of Earth Science, Bullard Laboratories, Madingley Road, Cambridge, UK. A. Parsons: University of Cambridge, Department of Earth Science, Bullard Laboratories, Madingley Road, Cambridge, UK. C. Estève: Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria. S. Burdick: Wayne State University, Geology Department, Detroit, MI, USA. F. A. Darbyshire: Centre de recherche Geotop, Université du Québec à Montréal, QC, Canada. S. Cottaar: University of Cambridge, Department of Earth Science, Bullard Laboratories, Madingley Road, Cambridge, UK. I. D. Bastow: Department of Earth Science and Engineering, Royal School of Mines, Prince Consort Road, Imperial College London, London, UK. A. J. Schaeffer: Geological Survey of Canada Pacific Division, Sidney, BC, Canada. P. Audet: University of Ottawa, Department of Earth and Environmental Sciences, Ottawa, ON, Canada. D. L. Schutt: Colorado State University, Department of Geosciences and Warner College of Natural Resources, Fort Collins, CO, USA. R. C. Aster: Colorado State University, Department of Geosciences and Warner College of Natural Resources, Fort Collins, CO, USA.

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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).
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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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