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Ensaio v0.7.0: Practice datasets to probe your code

Authors: Fatiando a Terra Project; Moreira Castro, Yago; Gomez, Mariana; Soler, Santiago Rubén; Uieda, Leonardo;

Ensaio v0.7.0: Practice datasets to probe your code

Abstract

Ensaio (Portuguese for "rehearsal") is a Python package for downloading open-access sample datasets for Geoscience. It taps into the curated collection in github.com/fatiando-data and uses Pooch to manage downloading and caching data. Documentation: https://www.fatiando.org/ensaio Source code: https://github.com/fatiando/ensaio Part of the Fatiando a Terra project. Note: Authors are listed in alphabetical order by last name.

Keywords

data, geophysics

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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!
0
Average
Average
Average