2020
DOI: 10.1029/2019jb018556
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Comment on “New Late Pennsylvanian Paleomagnetic Results From Paraná Basin (Southern Brazil): Is the Recent Giant Gaussian Process Model Valid for the Kiaman Superchron?” by Brandt et al.

Abstract: The late Pennsylvanian glacial rhythmites of the Mafra Formation (Itararé Group) from the Paraná Basin of Southern Brazil, have a complex rock‐magnetic signature. Rock‐magnetic tests imply that both hematite and magnetite in varying grain sizes are responsible for the magnetic remanence. Thermal and alternating field (AF) demagnetization of the natural remanence reveal different behaviors that are attributed to a mixture of remanence‐carrying magnetic minerals and grain sizes, implying a series of magnetic ove… Show more

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Cited by 3 publications
(2 citation statements)
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“…Key information on the reliability of a paleomagnetic pole may be better determined using data distributions. For instance, the common problem of inclination shallowing (e.g., Tauxe & Kent, 2004), as well as suspected remagnetization may be identified from a non‐Fisherian, elongated distribution of VGPs (e.g., Beck, 1999; Bilardello, 2020; Bilardello et al., 2018; Schmidt, 1990). Accurate determination of the shape of such data distributions requires large datasets (e.g., >100 sites; Tauxe et al., 2003; Tauxe & Kent, 2004; Vaes et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Key information on the reliability of a paleomagnetic pole may be better determined using data distributions. For instance, the common problem of inclination shallowing (e.g., Tauxe & Kent, 2004), as well as suspected remagnetization may be identified from a non‐Fisherian, elongated distribution of VGPs (e.g., Beck, 1999; Bilardello, 2020; Bilardello et al., 2018; Schmidt, 1990). Accurate determination of the shape of such data distributions requires large datasets (e.g., >100 sites; Tauxe et al., 2003; Tauxe & Kent, 2004; Vaes et al., 2021).…”
Section: Discussionmentioning
confidence: 99%
“…Key information on the reliability of a paleomagnetic pole may be better determined using data distributions. For instance, the common problem of inclination shallowing (e.g., , as well as suspected remagnetization may be identified from a non-Fisherian, elongated distribution of VGPs (e.g., Beck, 1999;Bilardello, 2020;Bilardello et al, 2018;Schmidt, 1990). Accurate determination of the shape of such data distributions requires large datasets (e.g., >100 sites; Tauxe et al, 2003;Chapter 3).…”
Section: Discussionmentioning
confidence: 99%