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OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion

+
Feng Liu, Sijie Zhao, Xinyu Gu, Fenghua Ling, Peiqin Zhuang, Rui Su*, Yaxing Li*, Jianping Huang, Lei Bai
+ +### Source of the OpenSWI + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
GroupReferenceDatasetsGeological Feature/Cover RegionModel VariableModel Size
OpenSWI-shallowDeng et al., 2021OpenFWI-FlatVelAFlatvp30,000 x 1 x 70 x 70
OpenFWI-Flat-FaultAFlat + Faultvp54,000 x 1 x 70 x 70
OpenFWI-CurveVelFoldvp30,000 x 1 x 70 x 70
OpenFWI-Fold-FaultFold + Faultvp54,000 x 1 x 70 x 70
OpenFWI-StyleAFieldvp67,000 x 1 x 70 x 70
OpenSWI-deepPasyanos et al., 2014LITHO1.0Globaldepth, vs40,962 x 2 x 96
Xin et al., 2018USTClitho1.0Chinadepth, vs9,125 x 2 x 12
Shen et al., 2013Central-and-Western USCentral and Western USdepth, vs6,803 x 2 x 72
Shen et al., 2016Continental ChinaChinadepth, vs4,516 x 2 x 400
Xie et al., 2018US Upper-MantleAmericandepth, vs3,678 x 2 x 600
Lu et al., 2018EUcrustEuropeandepth, vs43,520 x 2 x 80
Berg et al., 2020AlaskaAlaskadepth, vs19,408 x 2 x 156
Blom et al., 2020; Fichtner et al., 2018; Çubuk-Sabuncu et al., 2017CSEM-EuropeEuropeandepth, vsv, vsh21,931 x 3 x 61
Blom et al., 2020; Fichtner et al., 2018CSEM-EastmedEastern Mediterraneandepth, vsv, vsh12,782 x 3 x 81
Fichtner et al., 2018; Fichtner et al., 2015CSEM-IberianIberian (Western Mediterranean)depth, vsv, vsh9,102 x 3 x 81
Fichtner et al., 2018; Colli et al., 2013CSEM-South AtlanticSouth Atlanticdepth, vsv, vsh7,371 x 3 x 51
Fichtner et al., 2018; Krischer et al., 2018CSEM-North AtlanticNorth Atlanticdepth, vsv, vsh14,541 x 3 x 51
Fichtner et al., 2018; Simutė et al., 2016CSEM-JapanJapanese Islandsdepth, vsv, vsh14,641 x 3 x 61
Fichtner et al., 2018; Fichtner et al., 2010CSEM-AstralasiaAustralasiandepth, vsv, vsh4,131 x 3 x 51
OpenSWI-realFu et al., 2022LongBeachAmericandepth, vs5,297 x 2 x 241
Xiao et al., 2024CSRMContinental Chinadepth, vs12,901 x 2 x 145
+ +--- + +### Details of OpenSWI + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
GroupDatasetsPeriod Range (s)Depth Range and Interval (km)Extracted 1D VelocityAugmented 1D Velocity
OpenSWI-shallowOpenFWI-FlatVelA0.1-10 s0-2.8 km / 0.04 km29,379 x 4 x 701,490,415 x 4 x 70
OpenFWI-Flat-FaultA0.1-10 s0-2.8 km / 0.04 km292,933 x 4 x 702,925,151 x 4 x 70
OpenFWI-CurveVel0.1-10 s0-2.8 km / 0.04 km295,751 x 4 x 702,952,975 x 4 x 70
OpenFWI-Fold-Fault0.1-10 s0-2.8 km / 0.04 km537,751 x 4 x 705,369,692 x 4 x 70
OpenFWI-StyleA0.1-10 s0-2.8 km / 0.04 km2,338,248 x 4 x 709,345,103 x 4 x 70
OpenSWI-deepLITHO1.01-100 s0-300 km / 1.0 km40,959 x 4 x 300245,771 x 4 x 300
USTClitho1.01-100 s0-300 km / 1.0 km9,125 x 4 x 30054,750 x 4 x 300
Central-and-Western US1-100 s0-300 km / 1.0 km6,803 x 4 x 30040,818 x 4 x 300
Continental China1-100 s0-300 km / 1.0 km4,516 x 4 x 30027,096 x 4 x 300
US Upper-Mantle1-100 s0-300 km / 1.0 km3,678 x 4 x 30022,061 x 4 x 300
EUcrust1-100 s0-300 km / 1.0 km43,520 x 4 x 300261,155 x 4 x 300
Alaska1-100 s0-300 km / 1.0 km19,408 x 4 x 300116,448 x 4 x 300
CSEM-Europe1-100 s0-300 km / 1.0 km21,931 x 4 x 300131,586 x 4 x 300
CSEM-Eastmed1-100 s0-300 km / 1.0 km12,782 x 4 x 30076,692 x 4 x 300
CSEM-Iberian1-100 s0-300 km / 1.0 km9,102 x 4 x 30054,612 x 4 x 300
CSEM-South Atlantic1-100 s0-300 km / 1.0 km7,371 x 4 x 30044,226 x 4 x 300
CSEM-North Atlantic1-100 s0-300 km / 1.0 km14,541 x 4 x 30087,246 x 4 x 300
CSEM-Japan1-100 s0-300 km / 1.0 km14,641 x 4 x 30087,846 x 4 x 300
CSEM-Astralasia1-100 s0-300 km / 1.0 km4,131 x 4 x 30024,786 x 4 x 300
OpenSWI-realLongBeach0.263 - 1.666 s0-1.4 km / 0.04 km5,297 x 4 x 35-
CSRM8 - 70 s0-120 km / 1.0 km12,901 x 4 x 120-
+ +--- + +### Reference + +1. **X. Xiao et al.**, "CSRM‐1.0: A China Seismological Reference Model," *JGR Solid Earth*, vol. 129, no. 9, p. e2024JB029520, Sept. 2024, [doi: 10.1029/2024JB029520](https://doi.org/10.1029/2024JB029520). + +2. **L. Fu et al.**, "Improved high‐resolution 3D vs model of Long Beach, CA: Inversion of multimodal dispersion curves from ambient noise of a dense array," *Geophys. Res. Lett.*, vol. 49, no. 4, p. e2021GL097619, Feb. 2022, [doi: 10.1029/2021GL097619](https://doi.org/10.1029/2021GL097619). + +3. **C. Deng et al.**, “OpenFWI: Large-scale multi-structural benchmark datasets for full waveform inversion,” *Neural Information Processing Systems*, Nov. 2021, Accessed: Feb. 29, 2024. [Online]. Available: [https://www.semanticscholar.org/paper/2d13799dcbd0aefb08c379f58cd6004b1376ca33](https://www.semanticscholar.org/paper/2d13799dcbd0aefb08c379f58cd6004b1376ca33) + +4. **N. Blom et al.**, "Seismic waveform tomography of the central and eastern Mediterranean upper mantle," *Solid Earth*, vol. 11, no. 2, pp. 669–690, Apr. 2020, [doi: 10.5194/se-11-669-2020](https://doi.org/10.5194/se-11-669-2020). + +5. **E. M. Berg et al.**, "Shear velocity model of Alaska via joint inversion of Rayleigh wave ellipticity, phase velocities, and receiver functions across the Alaska transportable array," *J. Geophys. Res.: Solid Earth*, vol. 125, no. 2, Feb. 2020, [doi: 10.1029/2019jb018582](https://doi.org/10.1029/2019jb018582). + +6. **H. Xin et al.**, "High‐resolution lithospheric velocity structure of continental China by double‐difference seismic travel‐time tomography," *Seismol. Res. Lett.*, vol. 90, no. 1, pp. 229–241, Jan. 2019, [doi: 10.1785/0220180209](https://doi.org/10.1785/0220180209). + +7. **J. Xie et al.**, "3-D upper-mantle shear velocity model beneath the contiguous United States based on broadband surface wave from ambient seismic noise," *Pure Appl. Geophys.*, vol. 175, no. 10, pp. 3403–3418, Oct. 2018, [doi: 10.1007/s00024-018-1881-2](https://doi.org/10.1007/s00024-018-1881-2). + +8. **Y. Lu et al.**, "High-resolution surface wave tomography of the European crust and uppermost mantle from ambient seismic noise," *Geophys. J. Int.*, vol. 214, no. 2, pp. 1136–1150, Aug. 2018, [doi: 10.1093/gji/ggy188](https://doi.org/10.1093/gji/ggy188). + +9. **L. Krischer et al.**, "Automated large‐scale full seismic waveform inversion for North America and the North Atlantic," *J. Geophys. Res.: Solid Earth*, vol. 123, no. 7, pp. 5902–5928, July 2018, [doi: 10.1029/2017JB015289](https://doi.org/10.1029/2017JB015289). + +10. **A. Fichtner et al.**, "The collaborative seismic earth model: generation 1," *Geophys. Res. Lett.*, vol. 45, no. 9, pp. 4007–4016, May 2018, [doi: 10.1029/2018gl077338](https://doi.org/10.1029/2018gl077338). + +11. **Y. Çubuk-Sabuncu et al.**, "3-D crustal velocity structure of western Turkey: constraints from full-waveform tomography," *Phys. Earth Planet. Inter.*, vol. 270, pp. 90–112, Sept. 2017, [doi: 10.1016/j.pepi.2017.06.014](https://doi.org/10.1016/j.pepi.2017.06.014). + +12. **S. Simutė et al.**, "Full‐waveform inversion of the Japanese islands region," *J. Geophys. Res.: Solid Earth*, vol. 121, no. 5, pp. 3722–3741, May 2016, [doi: 10.1002/2016jb012802](https://doi.org/10.1002/2016jb012802). + +13. **W. Shen et al.**, "A seismic reference model for the crust and uppermost mantle beneath China from surface wave dispersion," *Geophys. J. Int.*, vol. 206, no. 2, pp. 954–979, Aug. 2016, [doi: 10.1093/gji/ggw175](https://doi.org/10.1093/gji/ggw175). + +14. **A. Fichtner and A. Villaseñor**, "Crust and upper mantle of the western Mediterranean – constraints from full-waveform inversion," *Earth Planet. Sci. Lett.*, vol. 428, pp. 52–62, Oct. 2015, [doi: 10.1016/j.epsl.2015.07.038](https://doi.org/10.1016/j.epsl.2015.07.038). + +15. **M. E. Pasyanos et al.**, "LITHO1.0: An updated crust and lithospheric model of the Earth," *JGR Solid Earth*, vol. 119, no. 3, pp. 2153–2173, Mar. 2014, [doi: 10.1002/2013JB010626](https://doi.org/10.1002/2013JB010626). + +16. **W. Shen et al.**, "A 3‐D model of the crust and uppermost mantle beneath the Central and Western US by joint inversion of receiver functions and surface wave dispersion," *JGR Solid Earth*, vol. 118, no. 1, pp. 262–276, Jan. 2013, [doi: 10.1029/2012JB009602](https://doi.org/10.1029/2012JB009602). + +17. **F. Rickers et al.**, "The Iceland–Jan Mayen plume system and its impact on mantle dynamics in the North Atlantic region: evidence from full-waveform inversion," *Earth Planet. Sci. Lett.*, vol. 367, pp. 39–51, Apr. 2013, [doi: 10.1016/j.epsl.2013.02.022](https://doi.org/10.1016/j.epsl.2013.02.022). + +18. **L. Colli et al.**, "Full waveform tomography of the upper mantle in the South Atlantic region: imaging a westward fluxing shallow asthenosphere?," *Tectonophysics*, vol. 604, pp. 26–40, Sept. 2013, [doi: 10.1016/j.tecto.2013.06.015](https://doi.org/10.1016/j.tecto.2013.06.015). + +19. **C. Trabant et al.**, "Data products at the IRIS DMC: stepping stones for research and other applications," *Seismol. Res. Lett.*, vol. 83, no. 5, pp. 846–854, Sept. 2012, [doi: 10.1785/0220120032](https://doi.org/10.1785/0220120032). + +20. **A. Fichtner et al.**, "Full waveform tomography for radially anisotropic structure: new insights into present and past states of the Australasian upper mantle," *Earth Planet. Sci. Lett.*, vol. 290, no. 3–4, pp. 270–280, Feb. 2010, [doi: 10.1016/j.epsl.2009.12.003](https://doi.org/10.1016/j.epsl.2009.12.003). + +21. **A. Fichtner et al.**, "Full seismic waveform tomography for upper-mantle structure in the Australasian region using adjoint methods," *Geophys. J. Int.*, vol. 179, no. 3, pp. 1703–1725, Dec. 2009, [doi: 10.1111/j.1365-246x.2009.04368.x](https://doi.org/10.1111/j.1365-246x.2009.04368.x). diff --git a/Figure/OpenSWI.png b/Figure/OpenSWI.png new file mode 100644 index 0000000000000000000000000000000000000000..f38386cc72413a6bed847e821e9e86c420afc79d --- /dev/null +++ b/Figure/OpenSWI.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b65313fdb0f682cb9bcd1b7003cb11bbf65175ab886475a0e1af988f09a3b9d2 +size 6271895 diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..a0f0a1c4f83dc2fe4f6951a2c7288abe42a675ea --- /dev/null +++ b/README.md @@ -0,0 +1,358 @@ +--- +language: +- en +tags: +- inversion +- seismic +- imaging +- subsurface +size_categories: +- 10B + OpenSWI: + A Massive-Scale Benchmark Dataset for
+ Surface Wave Dispersion Curve Inversion + + +
Feng Liu, Sijie Zhao, Xinyu Gu, Fenghua Ling, Peiqin Zhuang, Yaxing Li*, Rui Su*, Lihua Fang, Jianping Huang, Lei Bai
+ +![](./Figure/OpenSWI.png) + +## 📖 **Overview** + +**OpenSWI** is a comprehensive 1D dataset for surface-wave dispersion curve inversion, specifically designed for both shallow subsurface exploration (\~3 km) and deep geological studies (\~300 km). The dataset contains synthetic data derived from a variety of geological models, as well as real-world observational data, providing an invaluable resource for assessing and enhancing the generalization capabilities of deep learning models. The dataset includes: + +* [**OpenSWI-Shallow**](https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-shallow/0.2-10s-Aug): 1D velocity profiles derived from 2D velocity models (OpenFWI dataset), paired with corresponding surface wave dispersion curves. +* [**OpenSWI-Deep**](https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-deep/1s-100s-Aug): 1D velocity profiles generated from high-resolution 3D geological models, sourced globally and regionally, tailored for deep geological studies. +* [**OpenSWI-Real**](https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-real): AI-ready observational data from Long Beach, USA, and the China Seismological Reference Model Project, with 1D velocity profiles and corresponding surface wave dispersion curves. + +These datasets are ideal for training and evaluating deep learning models focused on surface-wave dispersion curve inversion tasks. + +--- + +## 📊 **OpenSWI Datasets** + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
GroupDatasetsPeriod Range (s)Depth Range and Interval (km)Extracted 1D VelocityAugmented 1D Velocity
OpenSWI-shallowOpenFWI-FlatVelA0.1-10 s0-2.8 km / 0.04 km30,000 x 4 x 701,490,415 x 4 x 70
OpenFWI-Flat-FaultA0.1-10 s0-2.8 km / 0.04 km292,941 x 4 x 702,925,151 x 4 x 70
OpenFWI-CurveVel0.1-10 s0-2.8 km / 0.04 km295,773 x 4 x 702,952,975 x 4 x 70
OpenFWI-Fold-Fault0.1-10 s0-2.8 km / 0.04 km537,774 x 4 x 705,369,692 x 4 x 70
OpenFWI-StyleA0.1-10 s0-2.8 km / 0.04 km2,344,958 x 4 x 709,345,103 x 4 x 70
OpenSWI-deepLITHO1.01-100 s0-300 km / 1.0 km40,959 x 4 x 300245,771 x 4 x 301
USTClitho1.01-100 s0-300 km / 1.0 km9,125 x 4 x 30054,750 x 4 x 301
Central-and-Western US1-100 s0-300 km / 1.0 km6,803 x 4 x 30040,818 x 4 x 301
Continental China1-100 s0-300 km / 1.0 km4,516 x 4 x 30027,096 x 4 x 301
US Upper-Mantle1-100 s0-300 km / 1.0 km3,678 x 4 x 30022,061 x 4 x 301
EUcrust1-100 s0-300 km / 1.0 km43,520 x 4 x 300261,155 x 4 x 301
Alaska1-100 s0-300 km / 1.0 km19,408 x 4 x 300116,448 x 4 x 301
CSEM-Europe1-100 s0-300 km / 1.0 km21,931 x 4 x 300131,586 x 4 x 301
CSEM-Eastmed1-100 s0-300 km / 1.0 km12,782 x 4 x 30076,692 x 4 x 301
CSEM-Iberian1-100 s0-300 km / 1.0 km9,102 x 4 x 30054,612 x 4 x 301
CSEM-South Atlantic1-100 s0-300 km / 1.0 km7,371 x 4 x 30044,226 x 4 x 301
CSEM-North Atlantic1-100 s0-300 km / 1.0 km14,541 x 4 x 30087,246 x 4 x 301
CSEM-Japan1-100 s0-300 km / 1.0 km14,641 x 4 x 30087,846 x 4 x 301
CSEM-Astralasia1-100 s0-300 km / 1.0 km4,131 x 4 x 30024,786 x 4 x 301
OpenSWI-realLongBeach0.263 - 1.666 s0-1.4 km / 0.04 km5,297 x 4 x 35-
CSRM8 - 70 s0-120 km / 1.0 km12,901 x 4 x 120-
+ +> Details of the source of datasets can be found at [OpenSWI](./Datasets/README.md) + +### 🏞️ **OpenSWI-Shallow** + +* **Resource Models**: Includes diverse geological features such as flat layers, faults, folds, and their combinations, representing typical shallow subsurface structures. +* **Profiles**: + + * **~22 million 1D velocity profiles**, each paired with corresponding **Rayleigh wave dispersion curves**. + * The dataset spans a **period range from 0.2 to 10 seconds** and covers **100 sampling points** (including uniform, random, and logarithmic distributions) for each dispersion curve. This variety ensures robust training and evaluation across different geological scenarios. +* **Geological Diversity**: The models include a broad spectrum of real-world shallow subsurface structures, such as: + + * **Flat Layers** + * **Faulted Layers (Flat-Fault)** + * **Folds** + * **Folds with Faults (Fold-Fault)** + * **Real Style (Field)** + +These diverse models make the dataset highly applicable for both synthetic and real-world seismic data inversion tasks. + +--- + +### 🌍 **OpenSWI-Deep** + +* **Resource Models**: Includes over **14 global and regional 3D geological models**, derived from high-resolution seismic data. These models represent deep geological structures, from the crust to the mantle, spanning a variety of tectonic settings and geological environments. +* **Profiles**: + + * **~1.26 million 1D velocity profiles**, derived from the 3D models. + * The profiles span a **period range from 1 to 100 seconds**, covering **300 sampling points** (including uniform, random, and logarithmic distributions) for each dispersion curve. + * These profiles offer high-resolution data suitable for deep geological studies and support advanced seismic inversion techniques. + +* **Geological Diversity**: The 3D models come from various sources, including well-established models such as: + * **LITHO1.0** (Pasyanos et al., 2014) + * **USTClitho1.0** (Xin et al., 2018) + * **Central and Western US Models** (Shen et al., 2013) + * **Continental China** (Shen et al., 2016) + * **US Upper-Mantle Model** (Xie et al., 2018) + * **EUcrust Model** (Lu et al., 2018) + * **Alaska Model** (Berg et al., 2020) + * **CSEM-Europe Model** (Blom et al., 2020; Fichtner et al., 2018; Çubuk-Sabuncu et al., 2017) + * **CSEM Eastern Mediterranean Model** (Blom et al., 2020; Fichtner et al., 2018) + * **CSEM Western Mediterranean Model** (Fichtner et al., 2018; Fichtner et al., 2015) + * **CSEM South Atlantic Model** (Fichtner et al., 2018; Colli et al., 2013) + * **CSEM North Atlantic Model** (Fichtner et al., 2018; Krischer et al., 2018) + * **CSEM Japanese Island Model** (Fichtner et al., 2018； Simutė et al., 2016) + * **CSEM Australasian Model** (Fichtner et al., 2018; Fichtner et al., 2010) + +These models provide a comprehensive representation of both regional and global deep geological structures, enhancing the dataset’s value for training deep learning models on complex inversion tasks. + +--- + +### 🏔️ **OpenSWI-Real** + +* **Long Beach, USA (Fu et al., 2022)**: + + * Contains **5,297 stations**, each with phase velocity dispersion curves. + * The **period range** for the curves is **0.263 to 1.666 seconds**, focusing on shallow subsurface structures. + * This dataset provides real-world observational data for evaluating model performance and generalization in seismic inversion tasks. + +* **China Seismological Reference Model (Xiao et al., 2024)**: + + * Includes **12,901 grid points**, each with phase and group velocity dispersion curves. + * The **period range** for these curves is **8 to 70 seconds**, ideal for studying deeper geological structures. + * Data is sourced from a dense network of seismic stations across mainland China, offering comprehensive coverage for advanced inversion tasks. + +---- + +## 📧 **Contact** + +**Principal Developer** + +[Feng Liu](https://liufeng2317.github.io/) + +🏛️ Affiliations: +- Shanghai Artificial Intelligence Laboratory +- Shanghai Jiao Tong University + +📧 **Contact Information**: +- [![Email](https://img.shields.io/badge/Email-liufeng2317@sjtu.edu.cn-blue?style=flat&logo=gmail)](mailto:liufeng2317@sjtu.edu.cn) +- [![Alt Email](https://img.shields.io/badge/Alt_Email-liufeng1@pjlab.org.cn-blue?style=flat&logo=gmail)](mailto:liufeng1@pjlab.org.cn) + + +---- + +## 📚 **Citation** + +If you use this dataset in your research, please cite: + +```bibtex +@software{liufeng_2025_openswi, + title={OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion}, + author={Feng Liu, Sijie Zhao, Xinyu Gu, Fenghua Ling, Peiqin Zhuang, Yaxing Li, Rui Su, Lihua Fang, Jianping Huang, Lei Bai}, + year={2025}, +} +``` + +---- + + +## 📝 **License** + +Released under the **CC BY 4.0 License**. See the full license in the repository. + + +--- +## 🔍 **Reference** +
+Click to expand related works + +1. **X. Xiao et al.**, "CSRM‐1.0: A China Seismological Reference Model," *JGR Solid Earth*, vol. 129, no. 9, p. e2024JB029520, Sept. 2024, [doi: 10.1029/2024JB029520](https://doi.org/10.1029/2024JB029520). + +2. **L. Fu et al.**, "Improved high‐resolution 3D vs model of Long Beach, CA: Inversion of multimodal dispersion curves from ambient noise of a dense array," *Geophys. Res. Lett.*, vol. 49, no. 4, p. e2021GL097619, Feb. 2022, [doi: 10.1029/2021GL097619](https://doi.org/10.1029/2021GL097619). + +3. **C. Deng et al.**, “OpenFWI: Large-scale multi-structural benchmark datasets for full waveform inversion,” *Neural Information Processing Systems*, Nov. 2021, Accessed: Feb. 29, 2024. [Online]. Available: [https://www.semanticscholar.org/paper/2d13799dcbd0aefb08c379f58cd6004b1376ca33](https://www.semanticscholar.org/paper/2d13799dcbd0aefb08c379f58cd6004b1376ca33) + +4. **N. Blom et al.**, "Seismic waveform tomography of the central and eastern Mediterranean upper mantle," *Solid Earth*, vol. 11, no. 2, pp. 669–690, Apr. 2020, [doi: 10.5194/se-11-669-2020](https://doi.org/10.5194/se-11-669-2020). + +5. **E. M. Berg et al.**, "Shear velocity model of Alaska via joint inversion of Rayleigh wave ellipticity, phase velocities, and receiver functions across the Alaska transportable array," *J. Geophys. Res.: Solid Earth*, vol. 125, no. 2, Feb. 2020, [doi: 10.1029/2019jb018582](https://doi.org/10.1029/2019jb018582). + +6. **H. Xin et al.**, "High‐resolution lithospheric velocity structure of continental China by double‐difference seismic travel‐time tomography," *Seismol. Res. Lett.*, vol. 90, no. 1, pp. 229–241, Jan. 2019, [doi: 10.1785/0220180209](https://doi.org/10.1785/0220180209). + +7. **J. Xie et al.**, "3-D upper-mantle shear velocity model beneath the contiguous United States based on broadband surface wave from ambient seismic noise," *Pure Appl. Geophys.*, vol. 175, no. 10, pp. 3403–3418, Oct. 2018, [doi: 10.1007/s00024-018-1881-2](https://doi.org/10.1007/s00024-018-1881-2). + +8. **Y. Lu et al.**, "High-resolution surface wave tomography of the European crust and uppermost mantle from ambient seismic noise," *Geophys. J. Int.*, vol. 214, no. 2, pp. 1136–1150, Aug. 2018, [doi: 10.1093/gji/ggy188](https://doi.org/10.1093/gji/ggy188). + +9. **L. Krischer et al.**, "Automated large‐scale full seismic waveform inversion for North America and the North Atlantic," *J. Geophys. Res.: Solid Earth*, vol. 123, no. 7, pp. 5902–5928, July 2018, [doi: 10.1029/2017JB015289](https://doi.org/10.1029/2017JB015289). + +10. **A. Fichtner et al.**, "The collaborative seismic earth model: generation 1," *Geophys. Res. Lett.*, vol. 45, no. 9, pp. 4007–4016, May 2018, [doi: 10.1029/2018gl077338](https://doi.org/10.1029/2018gl077338). + +11. **Y. Çubuk-Sabuncu et al.**, "3-D crustal velocity structure of western Turkey: constraints from full-waveform tomography," *Phys. Earth Planet. Inter.*, vol. 270, pp. 90–112, Sept. 2017, [doi: 10.1016/j.pepi.2017.06.014](https://doi.org/10.1016/j.pepi.2017.06.014). + +12. **S. Simutė et al.**, "Full‐waveform inversion of the Japanese islands region," *J. Geophys. Res.: Solid Earth*, vol. 121, no. 5, pp. 3722–3741, May 2016, [doi: 10.1002/2016jb012802](https://doi.org/10.1002/2016jb012802). + +13. **W. Shen et al.**, "A seismic reference model for the crust and uppermost mantle beneath China from surface wave dispersion," *Geophys. J. Int.*, vol. 206, no. 2, pp. 954–979, Aug. 2016, [doi: 10.1093/gji/ggw175](https://doi.org/10.1093/gji/ggw175). + +14. **A. Fichtner and A. Villaseñor**, "Crust and upper mantle of the western Mediterranean – constraints from full-waveform inversion," *Earth Planet. Sci. Lett.*, vol. 428, pp. 52–62, Oct. 2015, [doi: 10.1016/j.epsl.2015.07.038](https://doi.org/10.1016/j.epsl.2015.07.038). + +15. **M. E. Pasyanos et al.**, "LITHO1.0: An updated crust and lithospheric model of the Earth," *JGR Solid Earth*, vol. 119, no. 3, pp. 2153–2173, Mar. 2014, [doi: 10.1002/2013JB010626](https://doi.org/10.1002/2013JB010626). + +16. **W. Shen et al.**, "A 3‐D model of the crust and uppermost mantle beneath the Central and Western US by joint inversion of receiver functions and surface wave dispersion," *JGR Solid Earth*, vol. 118, no. 1, pp. 262–276, Jan. 2013, [doi: 10.1029/2012JB009602](https://doi.org/10.1029/2012JB009602). + +17. **F. Rickers et al.**, "The Iceland–Jan Mayen plume system and its impact on mantle dynamics in the North Atlantic region: evidence from full-waveform inversion," *Earth Planet. Sci. Lett.*, vol. 367, pp. 39–51, Apr. 2013, [doi: 10.1016/j.epsl.2013.02.022](https://doi.org/10.1016/j.epsl.2013.02.022). + +18. **L. Colli et al.**, "Full waveform tomography of the upper mantle in the South Atlantic region: imaging a westward fluxing shallow asthenosphere?," *Tectonophysics*, vol. 604, pp. 26–40, Sept. 2013, [doi: 10.1016/j.tecto.2013.06.015](https://doi.org/10.1016/j.tecto.2013.06.015). + +19. **C. Trabant et al.**, "Data products at the IRIS DMC: stepping stones for research and other applications," *Seismol. Res. Lett.*, vol. 83, no. 5, pp. 846–854, Sept. 2012, [doi: 10.1785/0220120032](https://doi.org/10.1785/0220120032). + +20. **A. Fichtner et al.**, "Full waveform tomography for radially anisotropic structure: new insights into present and past states of the Australasian upper mantle," *Earth Planet. Sci. Lett.*, vol. 290, no. 3–4, pp. 270–280, Feb. 2010, [doi: 10.1016/j.epsl.2009.12.003](https://doi.org/10.1016/j.epsl.2009.12.003). + +21. **A. Fichtner et al.**, "Full seismic waveform tomography for upper-mantle structure in the Australasian region using adjoint methods," *Geophys. J. Int.*, vol. 179, no. 3, pp. 1703–1725, Dec. 2009, [doi: 10.1111/j.1365-246x.2009.04368.x](https://doi.org/10.1111/j.1365-246x.2009.04368.x). + + +
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