add source of OpenSWI-real

.gitattributes

@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
 *.nc filter=lfs diff=lfs merge=lfs -text
+*.mod filter=lfs diff=lfs merge=lfs -text
+*.xlsx filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -7,4 +7,6 @@ Figures/
 Datasets/Original/OpenSWI-deep/LITHO1.0/
 Datasets/Original/OpenSWI-deep/USTClitho1.0/
 Datasets/Original/OpenSWI-deep/Shen2013_USA/
-Datasets/Original/OpenSWI-deep/Shen2016_china/
+Datasets/Original/OpenSWI-deep/Shen2016_china/
+Datasets/Original/OpenSWI-real/CSRM
+Datasets/Original/OpenSWI-real/LongBeach

Datasets/Original/OpenSWI-real/CSRM.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f63d5d24e9e910940a2b6ee693d13b1f2b65799dd17179072891b5dea571ccfb
+size 66539171

Datasets/Original/OpenSWI-real/LongBeach.tar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaa9a0bfa035f09f4b13270576dd5fcc24d346bd765b60aef91842cc6fc77e74
+size 32209106

README.md

@@ -263,6 +263,21 @@ These models provide a comprehensive representation of both regional and global
   * 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-liufeng2317@mail.ustc.edu.cn-blue?style=flat&logo=gmail)](mailto:liufeng1@pjlab.org.cn)
 
 ----
 
@@ -271,7 +286,7 @@ These models provide a comprehensive representation of both regional and global
 If you use this dataset in your research, please cite:
 
 ```bibtex
-@article{liufeng_2025_openswi,
+@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 Lin, Peiqin Zhuang, Rui Su, Yaxing Li, Jianping Huang, Lei Bai},
   year={2025},