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

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 inte...

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Veröffentlicht in:Geochemistry, geophysics, geosystems : G3 Jg. 17; H. 6; S. 2450 - 2463
Hauptverfasser: Tauxe, L., Shaar, R., Jonestrask, L., Swanson‐Hysell, N. L., Minnett, R., Koppers, A. A. P., Constable, C. G., Jarboe, N., Gaastra, K., Fairchild, L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Washington John Wiley & Sons, Inc 01.06.2016
Schlagworte:
Data analysis
Datasets
Documentation
Geophysics
MagIC database
Magnetic fields
Magnetics Information Consortium
paleomagnetic and rock magnetic database
Paleomagnetism
PmagPy software package
Rocks
Software packages
ISSN:1525-2027, 1525-2027
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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 experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line interface mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested. Key Points PmagPy software provides an interface to interact with Magnetics Information Consortium (MagIC) data PmagPy has tools to support visualization and interpretation across a range of rock and paleomagnetic data types Novices as well as experienced programmers can use PmagPy for data analysis and MagIC database preparation
AbstractList 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 experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line interface mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested. Key Points * PmagPy software provides an interface to interact with Magnetics Information Consortium (MagIC) data * PmagPy has tools to support visualization and interpretation across a range of rock and paleomagnetic data types * Novices as well as experienced programmers can use PmagPy for data analysis and MagIC database preparation
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 experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line interface mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested. Key Points PmagPy software provides an interface to interact with Magnetics Information Consortium (MagIC) data PmagPy has tools to support visualization and interpretation across a range of rock and paleomagnetic data types Novices as well as experienced programmers can use PmagPy for data analysis and MagIC database preparation
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 experimental data. Although not the only route into the MagIC database, PmagPy makes preparation of newly published data sets for contribution to MagIC as a byproduct of normal data analysis and allows manipulation as well as reanalysis of data sets downloaded from MagIC with a single software package. The graphical user interface (GUI), Pmag GUI enables use of much of PmagPy's functionality, but the full capabilities of PmagPy extend well beyond that. Over 400 programs and functions can be called from the command line interface mode, or from within the interactive Jupyter notebooks. Use of PmagPy within a notebook allows for documentation of the workflow from the laboratory to the production of each published figure or data table, making research results fully reproducible. The PmagPy design and its development using GitHub accommodates extensions to its capabilities through development of new tools by the user community. Here we describe the PmagPy software package and illustrate the power of data discovery and reuse through a reanalysis of published paleointensity data which illustrates how the effectiveness of selection criteria can be tested. PmagPy software provides an interface to interact with Magnetics Information Consortium (MagIC) data PmagPy has tools to support visualization and interpretation across a range of rock and paleomagnetic data types Novices as well as experienced programmers can use PmagPy for data analysis and MagIC database preparation
Author Tauxe, L.
Gaastra, K.
Koppers, A. A. P.
Swanson‐Hysell, N. L.
Jonestrask, L.
Minnett, R.
Shaar, R.
Fairchild, L.
Constable, C. G.
Jarboe, N.
Author_xml – sequence: 1
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  surname: Tauxe
  fullname: Tauxe, L.
  organization: Scripps Institution of Oceanography, University of California
– sequence: 2
  givenname: R.
  surname: Shaar
  fullname: Shaar, R.
  organization: Institute of Earth Sciences, Hebrew University of Jerusalem
– sequence: 3
  givenname: L.
  surname: Jonestrask
  fullname: Jonestrask, L.
  organization: Scripps Institution of Oceanography, University of California
– sequence: 4
  givenname: N. L.
  surname: Swanson‐Hysell
  fullname: Swanson‐Hysell, N. L.
  organization: University of California
– sequence: 5
  givenname: R.
  surname: Minnett
  fullname: Minnett, R.
  organization: Cogense, Inc
– sequence: 6
  givenname: A. A. P.
  surname: Koppers
  fullname: Koppers, A. A. P.
  organization: Oregon State University
– sequence: 7
  givenname: C. G.
  surname: Constable
  fullname: Constable, C. G.
  organization: Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California
– sequence: 8
  givenname: N.
  surname: Jarboe
  fullname: Jarboe, N.
  organization: Scripps Institution of Oceanography, University of California
– sequence: 9
  givenname: K.
  surname: Gaastra
  fullname: Gaastra, K.
  organization: University of California
– sequence: 10
  givenname: L.
  surname: Fairchild
  fullname: Fairchild, L.
  organization: University of California
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2016. American Geophysical Union. All Rights Reserved.
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Documentation
Geophysics
MagIC database
Magnetic fields
Magnetics Information Consortium
paleomagnetic and rock magnetic database
Paleomagnetism
PmagPy software package
Rocks
Software packages
Title PmagPy: Software package for paleomagnetic data analysis and a bridge to the Magnetics Information Consortium (MagIC) Database
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