
This dataset integrates continuous high-frequency Distributed Acoustic Sensing (DAS) ambient noise data, an inverted 2D shear-wave velocity ($V_s$) structural profile, and independent geodetic/topographic auxiliary products. The data were collected in the Hoh Xil region of the central Qinghai-Tibet Plateau. The primary scientific objective of this study is to characterize subsurface rigidity anomalies associated with mountain permafrost distribution and evaluate its ongoing degradation. By cross-validating depth-dependent $V_s$ structures with multi-year active surface deformation patterns (InSAR), this dataset provides an independent, high-resolution geodetic and geophysical context to investigate permafrost thaws, and their underlying degradation mechanisms.
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
