This data set takes China as the research area, and the data set includes "decimal_ time”, "lat”, "lon”, "time”, "time_ bounds”, "TWSA_ REC" and "uncertainty" 7 parameters in total. Among them, "decimal_ time” corresponds to decimal time. There are 191 months (163 months for grace data, 17 months for grace-fo data, and 11 months for grace-fo interval) from April 2002 to December 2019. We have not made up for the missing data of individual months between grace or grace-fo data; "LAT" corresponds to the latitude range of the data; "lon" corresponds to the longitude range of the data; "time" corresponds to the annual product day of the data from January 1, 2002; and "time" corresponds to the annual product day of the data from January 1, 2002_ Bounds "; corresponding to the product day of the year corresponding to the start date and end date of each data month. “TWSA_ "REC" is the monthly change of China's regional land water reserves from April 2002 to December 2019; "uncertainty" is the uncertainty between the data and CSR rl06 mascon products. Using grace satellite gravity data CSR grace / grace-fo rl06 mascon solutions (version 02), China Daily grid precipitation real-time analysis system (version 1.0) data, and cn05.1 temperature data sets, the precipitation reconstruction model was established, and the seasonal and trend terms of CSR rl06 mascon products were considered to obtain the data set of land water storage change based on precipitation reconstruction in China. The data quality is good as a whole, and the error of most regions in China is within 5cm. This data set complements the more than one year data gap between grace and grace-fo satellites, and provides a complete time series for long-term land water storage change analysis in China. As the CSR rl06 mascon product, the average value between 2004.0000 and 2009.999 is deducted from this data set. Therefore, the data of 164-174 months (i.e. July 2017 to may 2018) of this data set can be directly extracted as the estimation of land water storage change in the intermittent period.
This data comes from the result of teleseismic data, mainly including the velocity and radial anisotropic structures beneath western Tibet. In the process of processing, bandwidth filtering is adopted, and the filtering range is 0.05-2 Hz. Due to the use of teleseismic data, the cross-correlation method is used in the acquisition process to "align" the waveform. The data quality is good, because the extracted data are all from the earthquakes with magnitude greater than 5.0 located in the global seismic catalog, and each event has an obvious take-off point. The data can be used by other seismologists to reconstruct and analyze the underground structures in this area.
This data set is collected from the supplementary information part of the paper: Pei, S.P., Niu, F.L., Ben-Zion, Y., Sun, Q., Liu, Y.B., Xue, X.T., Su,J.R., & Shao, Z.G. (2019). Seismic velocity reduction and accelerated recovery due to earthquakes on the Longmenshan fault. Nature Geoscience. 12. 387-392. doi:10.1038/s41561-019-0347-1. This paper studies the structural evolution process of The Longmenshan fault zone located at a pronounced topographic boundary between the eastern margin of the Tibetan plateau and the western Sichuan basin. With the observations on coseismic velocity reductions and the healing phases, it is found that the healing phase of Wenchuan earthquake fracture zone accelerated significantly in response to the Lushan earthquake. This data set contains 3 tables, table names and content are as follows: Data list: The data name list of the rest tables; t1: Data of the four periods (befor Wenchuan earthquake, after Wenchuan earthquake, before Lushan earthquake, after Lushan earthquake); t2: The average velocities with error in Figure 2 in the paper for Wenchuan earthquake (WCEQ) and Lushan earthquake (LSEQ) area. See attachments for data details: Supplementary information.pdf, Seismic velocity reduction and accelerated recovery due to earthquakes on the Longmenshan fault.pdf.
The dataset partially used in the study of paper 2018GC007986 includes S receiver functions derived from 48 permanent stations and 11 stations of a temporary HY array deployed in the northeastern Tibetan Plateau. The dataset as a zipped file contains one folder, two files including NETibet_SRF.QBN and NETibet_SRF.QHD. A spiking deconvolution in the time domain is used to calculate the P and S receiver functions, all the S receiver functions have been visually inspected to remove the bad traces that obviously different from the majority. The dataset is applied to explore the lithospheric structure and understand the mechanism of northeastern expansion and growth of NE Tibetan Plateau.
High-frequency continuous GPS observation can effectively monitor the kinematics of crustal deformation. The Qilian Mountains region is an important constraint boundary of the northeastern margin of the Qinghai-Tibet Plateau. The study of this region can provide important implications for the dynamic process of the growth and uplift of the Tibetan Plateau and the internal deformation of the Tibetan Plateau. At the local level, it can be discussed whether there is creepage in the Haiyuan fault and the movement mode of the northeastern margin of the Qinghai-Tibet Plateau. The data comes from 26 fixed stations set up by the research group in the Qilian Mountain area. The site selection requirements are strict, and the high-frequency continuous GPS receiver is Provided by trimble, the data quality is good, the data can be applied not only to geodynamic research, but also to related earth science research such as meteorological precipitation.
On Nov. 18 at 06:34 CST time, an M6.9 earthquake occurred at Mainling prefecture, Nyingchi City, Tibet. This earthquake is located close to the northeastern corner where the Indian plate underthrusts beneath the Eurasian plate. Here the crustal shortening and the tectonically rotated deformation are the strongest with respect to other areas along the whole Himalayan orogenic belt. To record the seismic waveforms, we deployed seismic stations. Due to the huge amount of original waveform data, this database include waveforms of earthquakes with magnitudes greater than 3 that occurred between November 18, 2017 and December 31, 2018.
The dataset is the teleseismic waveform data from the Gyirong – Peiku Tso short-period dense seismic array profile. The data can be used to receiver function methods to probe the structure of the crust and upper mantle. The Gyirong – Peiku Tso profile crosses the north-south Gyirong Rift, and the data are derived from 134 short-period seismic stations set up by the subject group along the east-west Gyirong – Peiku Tso profile, with strict site selection and good data quality. This profile provides an important scientific basis for revealing the velocity discontinuity morphology below the Chilung Rift Valley, i.e., the interfacial extension of the Indian continent swooping northward in the crust below the Himalayan zonation, and for further understanding the lateral changes of the MHT interface and the dynamics of the east-west extension of the Tibetan Plateau.
Under the background of global warming, over the past few decades the qinghai-tibet plateau lakes shows obvious extension. At present on the qinghai-tibet plateau lakes area increase sharply , such as water level changes reported by a number of studies, especially in Tibet's largest lakes such as Siling Co, Nam Co, and so on. We take the Nam Co lake as an example, discussed recent decades the non-structural loading force caused by the Nam Co water level rising result in the surrounding lithosphere deformation and the stress variation on the Yadong-Gulu fault zone (normal fault) and analysis of the seismic hazard. In this fragile ecological environment area, the relationship between the land surface processes and the lithosphere can give us some clues, the result of the data including the surface displacement field changes and the stress on the fault.
We compiled the Seismic Zonation Map of Western Asia using the ArcGIS platform through data collecting and digitization. The Seismic Zonation map of Western Asia covers Iran and its surrounding countries and regions. Based on the “Major active faults of Iran” map, the map is replenished with massive published data and depicts the location and nature of the seisogenic faults or active faults and the epicenter of earthquakes with M ≥ 5 from 1960 to 2019. The zonation map shows the mean values of peak ground acceleration (PGA) with 10% probability of being exceeded in 50 years. The two maps can not only be used in the research of active faults and seismic risks in Western Asia, but also will be applied to the seismic safety evaluation for infrastructure construction.
We compiled the Seismotectonic Map of Western Asia using the ArcGIS platform through data collecting and digitization. The seismotectonic map of Western Asia covers Iran and its surrounding countries and regions. Based on the “Major active faults of Iran” map, the seismotectonic map is replenished with massive published data and depicts the location and nature of the seisogenic faults or active faults and the epicenter of earthquakes with M ≥ 5 from 1960 to 2019. The map can not only be used in the research of active faults and seismic risks in Western Asia, but also will be applied to the seismic safety evaluation for infrastructure construction.