2016
DOI: 10.1002/2016gc006307
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PmagPy: Software package for paleomagnetic data analysis and a bridge to the Magnetics Information Consortium (MagIC) Database

Abstract: The Magnetics Information Consortium (MagIC) database provides an archive with a flexible data model for paleomagnetic and rock magnetic data. The PmagPy software package is a cross-platform and open-source set of tools written in Python for the analysis of paleomagnetic data that serves as one interface to MagIC, accommodating various levels of user expertise. PmagPy facilitates thorough documentation of sampling, measurements, data sets, visualization, and interpretation of paleomagnetic and rock magnetic ex… Show more

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Cited by 236 publications
(230 citation statements)
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“…Subsequently, the samples were progressively step-heated and thermally demagnetized in an ASC thermal specimen demagnetizer (residual fields <10 nT). Following acquisition of the data, principal component analysis (Kirschvink, 1980) was conducted using the PmagPy software package (https:// github.com /PmagPy; Tauxe et al, 2016). All measurement level data as well as interpreted specimen directions are available within the MagIC database (https:// earthref.org /MagIC /doi /10.1130 /L580.1).…”
Section: Paleomagnetism Methodsmentioning
confidence: 99%
“…Subsequently, the samples were progressively step-heated and thermally demagnetized in an ASC thermal specimen demagnetizer (residual fields <10 nT). Following acquisition of the data, principal component analysis (Kirschvink, 1980) was conducted using the PmagPy software package (https:// github.com /PmagPy; Tauxe et al, 2016). All measurement level data as well as interpreted specimen directions are available within the MagIC database (https:// earthref.org /MagIC /doi /10.1130 /L580.1).…”
Section: Paleomagnetism Methodsmentioning
confidence: 99%
“…In all experiments, the field during "in-field cooling" in the oven was 60 μT. Data analysis was done with the Thellier graphical user interface (GUI) program (21), which is part of PmagPy software (22), using the automatic interpretation technique described in detail in Shaar et al (4,23). The acceptance criteria follow Shaar et al (4) and are described with references in SI Appendix.…”
Section: Significancementioning
confidence: 99%
“…by Tauxe et al (2016) were adopted. These criteria are established based on paleointensity study on modern lava flows in Hawaii where the historical field can be reproduced with reasonable accuracy (Cromwell et al, 2015).…”
Section: Compilation Of Published Archeomagnetic Data From Chinamentioning
confidence: 99%