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Pre-CSRM: An uppermost mantle seismic Pn-velocity in continental China

<p>The&nbsp;uppermost mantle seismic Pn-velocity&nbsp;model is inverted from a new tomographic scheme integrating&nbsp;a&nbsp;combined dataset of 32,427 absolute Pn travel times and 62,431 interstation Pn differential travel times (<a href="https://doi.org/10.1029/2022JB025667">Ma et al., 2023</a>).&nbsp;The model has spatial resolutions of 0.75&deg;&nbsp;&times;&nbsp;0.75&deg;&ndash;1&deg;&nbsp;&times;&nbsp;1&deg; in the north-south seismic belt and 1.5&deg;&nbsp;&times;&nbsp;1.5&deg;&ndash;3&deg;&nbsp;&times;&nbsp;3&deg; in other regions.&nbsp;The combined Pn travel time dataset&nbsp;used for the inversion of the model is selected from <strong>95,878 </strong>Pn travel times manually picked from the recordings of&nbsp;<strong>3,446&nbsp; </strong>seismic stations deployed in and around continental China&nbsp;for a total of <strong>6,787 </strong>seismic events between 1992 and&nbsp;2020. Please click on the <strong><a href="https://doi.org/10.5281/zenodo.8112291">link</a></strong> to download the&nbsp;dataset.</p> <p>中国大陆区域上地幔顶部Pn速度模型是根据整合了32,427个Pn绝对到时和62,431个台站间Pn相对到时的反演方案反演而来。该模型的空间分辨率在南北地震带为0.75&deg;&times;0.75&deg;-1&deg;&times;1&deg;,在其他地区为1.5&deg;&times;1.5&deg;-3&deg;&times;3&deg;。用于模型反演的Pn到时筛选自从部署在中国大陆及其周边地区的<strong>3,446</strong>个地震台站共<strong>6,878</strong>个事件的记录中人工挑选的<strong>95,878</strong>个Pn到时数据库。请点击<strong><a href="https://doi.org/10.5281/zenodo.8112291">链接</a></strong>下载该数据集。</p> <p><strong>Reference</strong>:&nbsp;Ma, J.,&nbsp;Sun, L.,&nbsp;Wang, W.,&nbsp;Wu, J.,&nbsp;Wang, X., &amp;&nbsp;Wen, L.&nbsp;(2023).&nbsp;Uppermost mantle seismic&nbsp;<em>Pn</em>-velocity in continental China and its tectonic implications.&nbsp;<em>Journal of Geophysical Research: Solid Earth</em>,&nbsp;128, e2022JB025667.&nbsp;<a href="https://doi.org/10.1029/2022JB025667">https://doi.org/10.1029/2022JB025667</a></p> <p>If you face any problem or issue when using this model, please feel free to communicate with the corresponding author Jiayu Ma (<a href="mailto:majy18@mail.ustc.edu.cn">majy18@mail.ustc.edu.cn</a> or<a href="mailto: seisbird@gmail.com"> seisbird@gmail.com</a>).</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0