Xu, Qiang; Hetzel, Ralf; Hampel, Andrea; Wolff, Reinhard (2021): Compilation of GPS data from NE Tibet [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.927851, In: Xu, Q et al. (2021): Topographic data, 10Be data, and GPS data used in the study on the Danghe Nan Shan thrust fault [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.927853
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
The GPS data compiled from Gan et al. (2007) and Wang & Shen (2020) illustrate the ongoing crustal shortening by thrust faulting along the active mountain ranges in northern Tibet (shown in Figure 4 of Xu et al.).
Supplement to:
Xu, Qiang; Hetzel, Ralf; Hampel, Andrea; Wolff, Reinhard (2021): Slip Rate of the Danghe Nan Shan Thrust Fault from 10 Be Exposure Dating of Folded River Terraces: Implications for the Strain Distribution in Northern Tibet. Tectonics, 40(4), e2020TC006584, https://doi.org/10.1029/2020TC006584
Source:
Gan, Weijun; Zhang, Peizhen; Shen, Zheng‐Kang; Niu, Zhijun; Wang, Min; Wan, Yongge; Zhou, Demin; Cheng, Jia (2007): Present-day crustal motion within the Tibetan Plateau inferred from GPS measurements. Journal of Geophysical Research, 112(B8), https://doi.org/10.1029/2005JB004120
Wang, Min; Shen, Zheng‐Kang (2020): Present‐Day Crustal Deformation of Continental China Derived From GPS and Its Tectonic Implications. Journal of Geophysical Research: Solid Earth, 125(2), https://doi.org/10.1029/2019JB018774
Coverage:
Median Latitude: 39.638750 * Median Longitude: 96.431438 * South-bound Latitude: 38.056000 * West-bound Longitude: 94.258000 * North-bound Latitude: 40.637000 * East-bound Longitude: 98.550000
Event(s):
DNS_GPS * Latitude Start: 38.056000 * Longitude Start: 94.258000 * Latitude End: 40.637000 * Longitude End: 98.550000 * Method/Device: Differential global positioning system (DGPS) (DGPS)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Station label | Station | Wolff, Reinhard | |||
2 | LONGITUDE | Longitude | Wolff, Reinhard | Geocode | ||
3 | LATITUDE | Latitude | Wolff, Reinhard | Geocode | ||
4 | Velocity, east | V E | mm/a | Wolff, Reinhard | ||
5 | Velocity, east, error | V E err | ± | Wolff, Reinhard | ||
6 | Velocity, north | V N | mm/a | Wolff, Reinhard | ||
7 | Velocity, north, error | V N err | ± | Wolff, Reinhard | ||
8 | Velocity, total | V tot | mm/a | Wolff, Reinhard | ||
9 | Azimuth | Azim | deg | Wolff, Reinhard | ||
10 | Reference/source | Reference | Wolff, Reinhard |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
256 data points
Data
1 Station | 2 Longitude | 3 Latitude | 4 V E [mm/a] | 5 V E err [±] | 6 V N [mm/a] | 7 V N err [±] | 8 V tot [mm/a] | 9 Azim [deg] | 10 Reference |
---|---|---|---|---|---|---|---|---|---|
G125 | 96.714 | 40.637 | 3.6 | 0.2 | 3.0 | 0.3 | 4.69 | 50.2 | Wang and Shen (2020) |
G127 | 97.677 | 40.271 | 3.4 | 0.2 | 2.1 | 0.2 | 4.00 | 58.3 | Wang and Shen (2020) |
G128 | 97.085 | 40.286 | 3.1 | 0.2 | 2.9 | 0.2 | 4.24 | 46.9 | Wang and Shen (2020) |
G129 | 97.440 | 40.027 | 3.4 | 0.5 | 3.2 | 0.5 | 4.67 | 46.7 | Wang and Shen (2020) |
G130 | 96.746 | 40.036 | 3.3 | 0.2 | 3.1 | 0.2 | 4.53 | 46.8 | Wang and Shen (2020) |
G131 | 95.712 | 40.080 | 3.2 | 0.2 | 3.7 | 0.2 | 4.89 | 40.9 | Wang and Shen (2020) |
G135 | 98.501 | 39.713 | 2.9 | 0.4 | 2.0 | 0.4 | 3.52 | 55.4 | Wang and Shen (2020) |
G136 | 98.188 | 39.841 | 3.7 | 0.4 | 3.3 | 0.4 | 4.96 | 48.3 | Wang and Shen (2020) |
G137 | 97.921 | 39.854 | 3.3 | 0.2 | 2.2 | 0.2 | 3.97 | 56.3 | Wang and Shen (2020) |
G138 | 97.703 | 39.569 | 3.9 | 0.2 | 3.4 | 0.2 | 5.17 | 48.9 | Wang and Shen (2020) |
G139 | 96.748 | 39.903 | 3.4 | 0.5 | 3.3 | 0.5 | 4.74 | 45.9 | Wang and Shen (2020) |
G144 | 97.997 | 39.186 | 4.3 | 0.3 | 3.6 | 0.3 | 5.61 | 50.1 | Wang and Shen (2020) |
G145 | 95.606 | 39.710 | 4.1 | 0.2 | 4.0 | 0.2 | 5.73 | 45.7 | Wang and Shen (2020) |
G147 | 98.266 | 38.967 | 5.4 | 0.5 | 3.8 | 0.5 | 6.60 | 54.9 | Wang and Shen (2020) |
G162 | 94.555 | 39.716 | 3.5 | 0.2 | 4.7 | 0.2 | 5.86 | 36.7 | Wang and Shen (2020) |
G164 | 94.857 | 39.514 | 4.3 | 0.4 | 5.1 | 0.4 | 6.67 | 40.1 | Wang and Shen (2020) |
G167 | 94.355 | 38.809 | 6.6 | 0.4 | 5.4 | 0.4 | 8.53 | 50.7 | Wang and Shen (2020) |
G169 | 94.998 | 38.056 | 7.4 | 0.5 | 6.0 | 0.5 | 9.53 | 51.0 | Wang and Shen (2020) |
G308 | 98.550 | 39.939 | 3.4 | 0.4 | 1.4 | 0.4 | 3.68 | 67.6 | Wang and Shen (2020) |
G309 | 97.967 | 39.677 | 4.1 | 0.4 | 2.2 | 0.4 | 4.65 | 61.8 | Wang and Shen (2020) |
G311 | 94.327 | 39.615 | 3.7 | 0.4 | 4.4 | 0.4 | 5.75 | 40.1 | Wang and Shen (2020) |
G312 | 94.258 | 39.413 | 5.1 | 0.4 | 5.3 | 0.4 | 7.36 | 43.9 | Wang and Shen (2020) |
G313 | 97.088 | 39.457 | 5.6 | 0.4 | 4.3 | 0.4 | 7.06 | 52.5 | Wang and Shen (2020) |
G314 | 94.311 | 39.158 | 6.6 | 0.4 | 4.9 | 0.4 | 8.22 | 53.4 | Wang and Shen (2020) |
G315 | 95.457 | 39.250 | 6.0 | 0.4 | 4.1 | 0.4 | 7.27 | 55.7 | Wang and Shen (2020) |
G325 | 94.613 | 38.330 | 7.6 | 0.4 | 4.9 | 0.4 | 9.04 | 57.2 | Wang and Shen (2020) |
GA12 | 95.318 | 39.333 | 5.7 | 1.1 | 2.9 | 0.9 | 6.40 | 63.0 | Wang and Shen (2020) |
GA13 | 96.060 | 38.970 | 9.8 | 2.3 | 2.2 | 2.2 | 10.04 | 77.3 | Gan et al. (2007) |
GC24 | 97.012 | 40.285 | 2.4 | 0.9 | 2.6 | 1.0 | 3.54 | 42.7 | Wang and Shen (2020) |
GSAX | 95.761 | 40.516 | 3.9 | 0.3 | 3.4 | 0.3 | 5.17 | 48.9 | Wang and Shen (2020) |
GSJY | 98.215 | 39.808 | 4.3 | 0.3 | 2.5 | 0.3 | 4.97 | 59.8 | Wang and Shen (2020) |
JB28 | 95.800 | 40.514 | 3.3 | 0.3 | 3.2 | 0.2 | 4.60 | 45.9 | Wang and Shen (2020) |