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Rockhound: Download geophysical models/datasets and load them in Python

Authors: Uieda, Leonardo; Soler, Santiago R.; Pesce, Agustina;

Rockhound: Download geophysical models/datasets and load them in Python

Abstract

{"references": ["Amante, C. and B.W. Eakins, 2009. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, NOAA. doi:10.7289/V5C8276M", "Dziewonski, A.M., and D.L. Anderson. 1981. \"Preliminary reference Earth model.\" Phys. Earth Plan. Int. 25:297-356.", "IRIS DMC (2011), Data Services Products: EMC, A repository of Earth models, doi:10.17611/DP/EMC.1.", "Fretwell, P. et al. (2013). Bedmap2: improved ice bed, surface and thickness datasets for Antarctica. The Cryosphere. doi:10.5194/tc-7-375-2013", "M\u00fcller, R. D., Sdrolias, M., Gaina, C., & Roest, W. R. (2008). Age, spreading rates, and spreading asymmetry of the world's ocean crust. Geochemistry, Geophysics, Geosystems, 9(4). doi:10.1029/2007GC001743"]}

RockHound is a Python library to download geophysical models and datasets (PREM, CRUST1.0, ETOPO1, Slab2, Age of Oceanic Lithosphere) and load them into Python data structures (pandas, numpy, xarray). Many of these models use non-conventional file formats or can be tricky to find on the internet. RockHound knows how to download them if you don't already have them locally, read the file format, and return a nicely formatted data structure. Under the hood, it uses Pooch to manage the downloads.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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