Published studies notebooks#
These notebooks are examples of published studies that have used PmagPy within Jupyter notebooks to conduct data analysis and develop data visualizations.
Sapienza et al. 2023 🎯 Paleomagnetic sampling strategy design
JupyterBook with notebooks to evaluate different sampling strategies to estimate paleomagnetic poles and paleosecular variation. (external link to Paleosampling JupyterBook).
Gallo et al. 2023 🛣️ Embracing uncertainty to resolve polar wander
Notebooks that utilizes PmagPy and custom functions build up a site level based apparent polar wander path for North America in the Cenozoic. (external link to Github).
Slotznick et al. 2023 🛶 The paleoenvironment of an oxygenated Mesoproterozoic shoreline
This notebook analyzes and visualizes the results of thermal demagnetization data for paleomagnetic samples collected from the Nonesuch Formation. (external link to Github).
Heslop et al. 2023 🥾 A bootstrap common mean direction test
This notebook shows an example estimation of bootstrap confidence region for a mean direction (external link to Github).
Tauxe et al. 2022 🌍 Pleistocene paleointensity
This notebook examines Pleistocene paleointensity data from Israel, Antarctica, Iceland, and Hawaii to interrogate the geomagnetic field (external link to Github).
Pierce et al. 2022 🧱 Inclination shallowing
This notebook analyzes data from a Mesoproterozoic sandstone and estimates elliptical pole position uncertainty associated with inclination shallowing using the elongation-inclination method (external link to Github).
Rose et al. 2022 🦘 Bayesian paleomagnetic Euler pole
This notebook conducts and plots a paleomagnetic Euler pole analysis for Cenozoic poles from Australia (external link to Github).
Swanson-Hysell, 2021 🇨🇦🇺🇸 Precambrian Laurentia paleomagnetic poles
This notebook develops and visualizes a compilation of paleomagnetic poles for Precambrian Laurentia (external link to Github).
Tauxe et al. 2016 📓 PmagPy Examples
This notebook published with the paper on PmagPy illustrates capabilities of PmagPy through analyzing paleodirectional data, conduct statistical tests, and calculate paleomagnetic poles.
Here are the citations to the above notebooks: [Sapienza et al., 2023], [Gallo et al., 2023], [Slotznick et al., 2023], [Heslop et al., 2023], [Tauxe et al., 2022], [Pierce et al., 2022], [Rose et al., 2022], [Swanson-Hysell, 2021], [Tauxe et al., 2016]