## 3 Results  
The resultant earthquake catalog has 1544 earthquakes with contributions from multiple agencies. Table 1 describes the seismological agencies and their country of operation. As previously shown, these agencies are typically described by a three or four letter code. Note that BJI and PEK are treated as the same agency, while NEIC, NEIS, and CGS are also treated as the same agency. Table 2 describes the base list and shows the number of events with an assigned M\({}_{\rm W}\) per seismological agency. There are 15 and 14 events in GCMT and ISC-GEM, respectively, with an overlap of five events. These five events shared the same magnitudes. NIED listed 135 events with a reported M\({}_{\rm W}\), however only nine events shared a M\({}_{\rm W,GCMT}\) listing. As a \begin{table}
\begin{tabular}{l l c} \hline \hline
**Code** & **Agency** & **Country** \\ \hline BJI & China Earthquake Networks Center & China \\ CGS & Coast and Geodetic Survey of the United States & U.S.A. \\ EIDC & Experimental International Data Center & U.S.A. \\ GCMT & The Global Centroid Moment Tensor Project & U.S.A. \\ IDC & International Data Centre & Austria \\ ISC & International Seismological Centre & U.K. \\ JMA & Japan Meteorological Agency & Japan \\ KEA & Korea Earthquake Administration & North Korea \\ KMA & Korea Meteorological Agency & South Korea \\ MOS & Geophysical Survey of Russian Academy of Sciences & Russia \\ NIED & National Research Institute for Earth Science and Disaster & Japan \\ NEIC & National Earthquake Information Center & U.S.A. \\ NEIS & National Earthquake Information Service & U.S.A. \\ PEK & Peking & China \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Seismological agencies that supplied relevant earthquake event data for this study. result, there are 149 events with a listed M\({}_{\rm W}\) by ISC-GEM, GCMT, or NIED. Surprisingly, there are only eight and seven events with a reported M\({}_{\rm W}\) by NEIC and JMA, respectively. Table 2 also lists the number of earthquakes listed by ISC-GEM, GCMT, NIED, NEIC, and JMA that share an event listed in GCMT. These data suggest most of the ISC-GEM and NIED data are not listed within the GCMT database. A plot of M\({}_{\rm W}\) versus M\({}_{\rm W,NEIC}\) and M\({}_{\rm W,JMA}\) is presented in Figure 1 to help ascertain how correlated the M\({}_{\rm W}\) data set are. Data compiled from a previous study in Africa is also shown in the background of Figure 1 to show that the dataset are within previous work [20]. Overall, M\({}_{\rm W,NEIC}\) and M\({}_{\rm W,JMA}\) show a general one-to-one relation, but there is some slight scatter. Performing linear and total squares regression on the data set results in:  
\[\rm M_{w,proxy}=1.119~{}M_{W,NEIC}-0.636;\,\sigma_{OLS}=0.166;\,4.6\leq M_{W, NEIC}\leq 6.4 \tag{1a}\] \[\rm M_{w,proxy}=1.158~{}M_{W,NEIC}-0.842;\,\sigma_{TLS}=0.110;\,4.6\leq M_{W, NEIC}\leq 6.4\] (1b) \[\rm M_{w,proxy}=1.000~{}M_{W,JMA}-0.000;\,\sigma_{OLS}=0.045;\,4.1\leq M_{W, JMA}\leq 5.5\] (2a) \[\rm M_{w,proxy}=1.007~{}M_{W,JMA}-0.036;\,\sigma_{TLS}=0.045;\,4.1\leq M_{W, JMA}\leq 5.5 \tag{2b}\]  
With coefficients of determination R\({}^{2}\) = 0.941 and 0.986 for Equations (1) and (2), respectively. The regression coefficients are similar with the \(\sigma_{\rmOLS}\) being greater than \(\sigma_{\rm TLS}\) for both relationships. These relationships also suggest M\({}_{\rm W,JMA}\) is a better indicator of M\({}_{\rm W}\) than M\({}_{\rm W,NEIC}\). \begin{table}
\begin{tabular}{c c c} \hline
**Agencies** & **Number of Events with a M\({}_{\rm w}\)** & **Number of Events with a M\({}_{\rm w,GCMT}\)** \\ \hline GCMT & 15 & 15 \\ ISC-GEM & 14 & 5 \\ NIED & 135 & 9 \\ NEIC & 8 & 7 \\ JMA & 7 & 5 \\ \hline \end{tabular}
\end{table} 
Table 2: Number of events with a listed M\({}_{\rm w}\) categorized by agency. Figure 1: Relationships between M\({}_{\rm w,GCMT}\) and M\({}_{\rm w}\) from ISC-GEM, NIED, NEIC, and JMA. Data by [PERSON] et al.