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Dataset . 2023
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ZENODO
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License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
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Pre-CSRM: An uppermost mantle seismic Pn-velocity in continental China

Authors: Ma, Jiayu; Sun, Li; Wang, Weilai; Wu, Jianping; Wang, Xiaoxin; Wen, Lianxing;

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

Abstract

The uppermost mantle seismic Pn-velocity model is inverted from a new tomographic scheme integrating a combined dataset of 32,427 absolute Pn travel times and 62,431 interstation Pn differential travel times (Ma et al., 2023). The model has spatial resolutions of 0.75° × 0.75°–1° × 1° in the north-south seismic belt and 1.5° × 1.5°–3° × 3° in other regions. The combined Pn travel time dataset used for the inversion of the model is selected from 95,878 Pn travel times manually picked from the recordings of 3,446 seismic stations deployed in and around continental China for a total of 6,787 seismic events between 1992 and 2020. Please click on the link to download the dataset. 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°×0.75°-1°×1°,在其他地区为1.5°×1.5°-3°×3°。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3,446个地震台站共6,878个事件的记录中人工挑选的95,878个Pn到时数据库。请点击链接下载该数据集。 Reference: Ma, J., Sun, L., Wang, W., Wu, J., Wang, X., & Wen, L. (2023). Uppermost mantle seismic Pn-velocity in continental China and its tectonic implications. Journal of Geophysical Research: Solid Earth, 128, e2022JB025667. https://doi.org/10.1029/2022JB025667 If you face any problem or issue when using this model, please feel free to communicate with the corresponding author Jiayu Ma (majy18@mail.ustc.edu.cn or seisbird@gmail.com).

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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