<jupyter_start><jupyter_text>Specimen Directional Uncertainty by <NAME> (<EMAIL>) & <NAME>**<NAME>. & <NAME> (2020). Uncertainty propagation for paleomagnetic directions, *Journal of Geophysical Research*, 125, e2020JB019488.** https://doi.org/10.1029/2020JB019488<jupyter_code>import vMF_Specimens as sm<jupyter_output><empty_output><jupyter_text>Specimen parametersEnter your PCA estimated directions in the form below (one row per specimen):1. **Dec [deg.]** - PCA declination in degrees [value between 0$^\circ$ and 360$^\circ$]. 2. **Inc [deg.]** - PCA inclination in degrees [value between -90$^\circ$ and +90$^\circ$].3. **n** - Number of demagnetization points used in the PCA  [value $>$1].4. **MAD [deg.]** - PCA maximum angular deviation in degrees [value between 0$^\circ$ and 90$^\circ$].5. **Anchored** - Check this option for PCA fits anchored to the origin<jupyter_code>X = {}
X = sm.input_frame(X)<jupyter_output><empty_output><jupyter_text>Process dataOnce your data form is complete, click the ```Process Data``` button.<jupyter_code>pe = sm.LoadedButton(description="Process Data", value=X)
pe.on_click(sm.process)
display(pe)
X = pe.value<jupyter_output><empty_output>
StarcoderdataJupyterStructuredCleanDedup