update: readme

Datasets-Construction/OpenSWI-deep/homo-thickness-aug/11_USTCLitho1.ipynb

@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -38,6 +38,16 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(9125, 12)"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -68,7 +78,9 @@
     "depths_idx = 10\n",
     "plt.scatter(locs[:,0],locs[:,1],c=vs[:,depths_idx],cmap=\"rainbow\")\n",
     "plt.colorbar()\n",
-    "plt.show()\n"
+    "plt.show()\n",
+    "\n",
+    "vs.shape"
    ]
   },
   {

Datasets-Construction/OpenSWI-deep/homo-thickness-aug/14_Continental_China_Shen2016.ipynb

@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -82,7 +82,7 @@
        "(4527, '100.5_23.mod')"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -96,40 +96,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100.5_44.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100.5_44.5.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/102_47.mod\"\n",
-      "  data = np.loadtxt(os.path.join(data_path,file))\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/102.5_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/102_47.mod\"\n",
+      "  data = np.loadtxt(os.path.join(data_path,file))\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/102.5_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/99.5_46.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/99.5_46.5.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/99.5_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/99.5_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100.5_46.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100.5_46.5.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100.5_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100.5_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/101_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/101_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/101.5_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/101.5_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/113.5_46.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/113.5_46.5.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n",
-      "/tmp/ipykernel_4181180/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0/100_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n"
      ]
     },
@@ -139,7 +133,7 @@
        "((4516, 2), (4516, 400, 2))"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }

Datasets-Construction/OpenSWI-real/CSRM/01_CSRM_Real.ipynb

@@ -892,7 +892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {

Datasets-Construction/OpenSWI-real/LongBeanch/01_longBeach.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -87,7 +87,7 @@
        "((5297, 300, 3), (5297, 300, 3))"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -125,7 +125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -167,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -186,7 +186,7 @@
        "(5297, 300, 3)"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -197,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -214,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -223,7 +223,7 @@
        "(5297, 2)"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -239,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -248,7 +248,7 @@
        "(5297, 200, 4)"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }

README.md

@@ -6,6 +6,8 @@ tags:
 - seismic
 - imaging
 - subsurface
+size_categories:
+- 10B<n<100B
 ---
 
 # 🌍 **OpenSWI: A Massive Surface-Wave Dispersion Curve Inversion Benchmark Dataset**
@@ -122,7 +124,7 @@ These models provide a comprehensive representation of both regional and global
 If you use this dataset in your research, please cite:
 
 ```bibtex
-@article{your_citation,
+@article{liufeng_2025_openswi,
   title={OpenSWI: A Massive Surface-Wave Dispersion Curve Inversion Benchmark Dataset},
   author={Feng Liu, Sijie Zhao},
   year={2025},