update:gitattributes

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+*.nc filter=lfs diff=lfs merge=lfs -text

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/01_CSEM_Eastmed.ipynb

@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -111,7 +111,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-eastmed-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-eastmed-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -236,12 +236,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -922,7 +922,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_Eastmed_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/02_CSEM_Europe.ipynb

@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -104,7 +104,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-europe-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-europe-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -229,12 +229,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -981,12 +981,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_Europe_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/03_US-upper-mantle.ipynb

@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -80,7 +80,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/US-Upper-Mantle-Vs.Xie.Chu.Yang.2018.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/US-Upper-Mantle-Vs.Xie.Chu.Yang.2018.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -160,12 +160,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -929,12 +929,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"US-upper-mantle_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/04_Alaska.ipynb

@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -98,7 +98,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/Alaska.JointInversion-RF+Vph+HV-1.Berg.2020-nc4.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/Alaska.JointInversion-RF+Vph+HV-1.Berg.2020-nc4.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -179,12 +179,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -980,12 +980,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# loc = np.hstack((lon_solid,lat_solid))\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"Alaska_loc.npz\"),\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/05_EUCrust.ipynb

@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -87,7 +87,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/LSP-Eucrust1.0.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/LSP-Eucrust1.0.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -168,12 +168,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -940,12 +940,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"EUCrust_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/06_CSEM_South_Atlantic.ipynb

@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -92,7 +92,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-south-atlantic-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-south-atlantic-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -216,12 +216,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -921,12 +921,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_South_Atlantic_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/07_CSEM_North_Atlantic.ipynb

@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -97,7 +97,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-north-atlantic-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-north-atlantic-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -222,12 +222,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -906,12 +906,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_North_Atlantic_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/08_CSEM_Japan.ipynb

@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -92,7 +92,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-japan-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-japan-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -215,12 +215,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -969,12 +969,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_Japan_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/09_CSEM_lberia.ipynb

@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-iberia-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-iberia-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -218,12 +218,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -923,12 +923,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_lberia_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/10_CSEM_Australasia.ipynb

@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -101,7 +101,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-australasia-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-australasia-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -226,12 +226,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -975,12 +975,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/11_USTCLitho1.ipynb

@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -55,7 +55,7 @@
     "import matplotlib.pyplot as plt\n",
     "import os\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/USTClitho1.0/data/vs\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/USTClitho1.0/data/vs\"\n",
     "data_file_list = sorted(os.listdir(data_path), key=lambda x: int(x.split(\".\")[0].replace(\"Z_vs\", \"\")))\n",
     "\n",
     "depth = []\n",
@@ -92,12 +92,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -818,12 +818,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"USTCLitho1_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/12_LITHO1.ipynb

@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
     "import os \n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_folder =  \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/LITHO1.0/LITHO1.0/litho_model\"\n",
+    "data_folder =  \"../../../Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/litho_model\"\n",
     "data_files = os.listdir(data_folder)\n",
     "data_files.sort(key= lambda x:int(x.replace(\"node\",\"\").replace(\".model\",\"\")))\n",
     "len(data_files),data_files[:10]"
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -97,7 +97,7 @@
    ],
    "source": [
     "# node, latitude, glatitude, longitude\n",
-    "lon_lat_file = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/LITHO1.0/LITHO1.0/Icosahedron_Level7_LatLon_mod.txt\"\n",
+    "lon_lat_file = \"../../../Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/Icosahedron_Level7_LatLon_mod.txt\"\n",
     "loc_data = np.loadtxt(lon_lat_file)\n",
     "loc_data.shape"
    ]
@@ -111,13 +111,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "from scipy.interpolate import interp1d\n",
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *\n",
     "\n",
@@ -875,12 +875,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"LITHO1_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/13_Central_and_Western_US_Shen2013.ipynb

@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -84,7 +84,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2013_USA/WUSA\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/Shen2013_USA/WUSA\"\n",
     "files = os.listdir(data_path)\n",
     "len(files),files[0]"
    ]
@@ -223,12 +223,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -939,12 +939,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"Central_and_Western_US_Shen2013_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Aug/14_Continental_China_Shen2016.ipynb

@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -88,8 +88,7 @@
     }
    ],
    "source": [
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2016_china/China_2015_Vs_v1.0\"\n",
-    "fig_save_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Script/DataPrepare/Figures/07_Shen_2016_china/\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0\"\n",
     "files = os.listdir(data_path)\n",
     "len(files),files[0]"
    ]
@@ -103,27 +102,27 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/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",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/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_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",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/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",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0/102.5_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_v1.0/99.5_46.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/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_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",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0/99.5_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_v1.0/100.5_46.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/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_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",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0/100.5_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_v1.0/101_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0/101_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_v1.0/101.5_47.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0/101.5_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_v1.0/113.5_46.5.mod\"\n",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/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_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",
+      "/tmp/ipykernel_1354068/183684253.py:5: UserWarning: loadtxt: input contained no data: \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/Shen2016_china/China_2015_Vs_v1.0/100_47.mod\"\n",
       "  data = np.loadtxt(os.path.join(data_path,file))\n"
      ]
     },
@@ -240,12 +239,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -956,12 +955,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n",
     "# Save processed data as compressed npz files\n",
     "# np.savez_compressed(os.path.join(save_base_path, \"Continantle_China_Shen2016_loc.npz\"),\n",
     "#                     data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/01_CSEM_Eastmed.ipynb

@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -111,7 +111,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-eastmed-2019.12.01.nc\"\n",
+    "data_path = \"../../..//Datasets/Original/OpenSWI-deep/csem-eastmed-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -159,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -246,7 +246,7 @@
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -589,7 +589,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Eastmed_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/02_CSEM_Europe.ipynb

@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -104,7 +104,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-europe-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-europe-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -233,12 +233,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -573,7 +573,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Europe_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/03_US-upper-mantle.ipynb

@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -80,7 +80,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/US-Upper-Mantle-Vs.Xie.Chu.Yang.2018.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/US-Upper-Mantle-Vs.Xie.Chu.Yang.2018.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -165,12 +165,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -534,7 +534,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"US-upper-mantle_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/04_Alaska.ipynb

@@ -98,7 +98,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/Alaska.JointInversion-RF+Vph+HV-1.Berg.2020-nc4.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/Alaska.JointInversion-RF+Vph+HV-1.Berg.2020-nc4.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -181,12 +181,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -612,12 +612,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"Alaska_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/05_EUCrust1.0.ipynb

@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -87,7 +87,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/LSP-Eucrust1.0.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/LSP-Eucrust1.0.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -171,12 +171,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -568,7 +568,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"EUCrust_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/06_CSEM_South_Atlantic.ipynb

@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -92,7 +92,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-south-atlantic-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-south-atlantic-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -221,12 +221,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -563,7 +563,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_South_Atlantic_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/07_CSEM_North_Atlantic.ipynb

@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -97,7 +97,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-north-atlantic-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-north-atlantic-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -226,12 +226,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -566,7 +566,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_North_Atlantic_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/08_CSEM_Japan.ipynb

@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -92,7 +92,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-japan-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-japan-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -220,12 +220,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -610,7 +610,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Japan_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/09_CSEM_lberia.ipynb

@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -93,7 +93,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-iberia-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-iberia-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -221,12 +221,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -562,7 +562,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_lberia_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/10_CSEM_Australasia.ipynb

@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -101,7 +101,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/csem-australasia-2019.12.01.nc\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-australasia-2019.12.01.nc\"\n",
     "\n",
     "# load the .nc file\n",
     "data = xr.open_dataset(data_path)\n",
@@ -231,12 +231,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -572,7 +572,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/11_USTCLitho1.ipynb

@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -45,7 +45,7 @@
     "import matplotlib.pyplot as plt\n",
     "import os\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/Datasets/SurfaceWave/Global/USTClitho1.0/data/vs\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/USTClitho1.0/data/vs\"\n",
     "data_file_list = sorted(os.listdir(data_path), key=lambda x: int(x.split(\".\")[0].replace(\"Z_vs\", \"\")))\n",
     "\n",
     "depth = []\n",
@@ -84,12 +84,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -495,7 +495,7 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"USTCLitho1_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

Datasets-Construction/OpenSWI-deep/1s-100s-Base/13_Central_and_Western_US-Shen2013.ipynb

@@ -71,7 +71,7 @@
     {
      "data": {
       "text/plain": [
-       "(6803, '235.5_43.75.mod.1')"
+       "(6803, '236.25_40.mod.1')"
       ]
      },
      "execution_count": 1,
@@ -84,7 +84,7 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "data_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/Shen2013_USA/WUSA\"\n",
+    "data_path = \"../../../Datasets/Original/OpenSWI-deep/Shen2013_USA/WUSA\"\n",
     "files = os.listdir(data_path)\n",
     "len(files),files[0]"
    ]
@@ -227,12 +227,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import sys\n",
-    "sys.path.append('/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/')\n",
+    "sys.path.append('../../../')\n",
     "from SWIDP.process_1d_deep import *\n",
     "from SWIDP.dispersion import *"
    ]
@@ -565,12 +565,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-deep/1s-100s-Base\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Base\"\n",
     "# Save processed data as compressed npz files\n",
     "np.savez_compressed(os.path.join(save_base_path, \"Central_and_Western_US_Shen2013_loc.npz\"),\n",
     "                    data=loc.astype(np.float32))\n",

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

@@ -34,8 +34,8 @@
     "import os\n",
     "from scipy.interpolate import interp1d\n",
     "\n",
-    "phase_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/CSRM/PhaseVelocityMaps_CSRM1.0\"\n",
-    "group_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/CSRM/GroupVelocityMaps_CSRM1.0\"\n",
+    "phase_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/CSRM/PhaseVelocityMaps_CSRM1.0\"\n",
+    "group_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/CSRM/GroupVelocityMaps_CSRM1.0\"\n",
     "\n",
     "phase_files = os.listdir(phase_base_path)\n",
     "phase_files.sort(key=lambda x: int(x.split(\".\")[-2].replace(\"s\",\"\")))\n",
@@ -276,7 +276,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "vel_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer/Data/CSRM/CSRM1.0_2024\"\n",
+    "vel_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/Original/OpenSWI-deep/CSRM/CSRM1.0_2024\"\n",
     "\n",
     "vel_files = os.listdir(vel_base_path)\n",
     "vel_files.sort(key=lambda x: float(x.split(\"_\")[1]))"

Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/01_1_OpenFWI-FlatVel-A.ipynb

@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/FlatVel_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/FlatVel_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -619,7 +619,7 @@
    ],
    "source": [
     "\n",
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
+    "save_base_path = \"../../..//Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/01_2_OpenFWI-FlatFault-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/FlatFault_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/FlatFault_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -574,7 +574,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/01_3_OpenFWI-CurveVel-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/CurveVel_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/CurveVel_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -552,7 +552,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/01_4_OpenFWI-CurveFault-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/CurveFault_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/CurveFault_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -584,7 +584,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/01_5_OpenFWI-Style-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/Style_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/Style_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -588,7 +588,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Aug/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Base/01_1_OpenFWI-FlatVel-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/FlatVel_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/FlatVel_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -346,7 +346,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -2031,7 +2031,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Base/01_2_OpenFWI-FlatFault-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/FlatFault_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/FlatFault_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -3349,7 +3349,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Base/01_3_OpenFWI-CurveVel-A.ipynb

@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/CurveVel_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/CurveVel_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -2005,7 +2005,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Base/01_4_OpenFWI-CurveFault-A.ipynb

@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/CurveFault_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/CurveFault_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -3349,7 +3349,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets-Construction/OpenSWI-shallow/0.2-10s-Base/01_5_OpenFWI-Style-A.ipynb

@@ -35,13 +35,13 @@
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import sys\n",
-    "sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/\")\n",
+    "sys.path.append(\"../../../\")\n",
     "from SWIDP.process_1d_shallow import *\n",
     "from SWIDP.dispersion import *\n",
     "from p_tqdm import p_map\n",
     "\n",
     "\n",
-    "data_base_path = \"/home/bingxing2/ailab/group/ai4earth/liufeng/OpenFWI/Style_A/model\"\n",
+    "data_base_path = \"../../../Datasets/Original/OpenSWI-shallow/Style_A/model\"\n",
     "\n",
     "models_list = os.listdir(data_base_path)\n",
     "\n",
@@ -320,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -4077,7 +4077,7 @@
     }
    ],
    "source": [
-    "save_base_path = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/OpenSWI/Datasets/OpenSWI/Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
+    "save_base_path = \"../../../Datasets/OpenSWI-shallow/0.2-10s-Base/\"\n",
     "\n",
     "# Initialize empty lists to store data\n",
     "disp_data_all  = []\n",

Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/._node26.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:980e93d0b3d03a469e10104ef886bf4915df7d5f8eac09221c3b222c4a0454b6
+size 171

Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/litho_model/node1.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3ab974e25c3dd04789083543a691e1debd2f718ffa5e44efba4a8800b116709
+size 13226

Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/litho_model/node10.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4efd7e925454b359736cf5db6fd29997064d3e39ba0d4242c588b9895d835db3
+size 13211

Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/litho_model/node100.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21b4de349b2588725a5cb6f6b80d7d5db1bc0965ab85a50428aa789ea6c6d687
+size 13129

Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/litho_model/node1000.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faf46666a8ce8e6e22d344e1010bf9af3bdb13f895ed6a28ecd18487e8ca6ca9
+size 13047

Datasets/Original/OpenSWI-deep/LITHO1.0/LITHO1.0/litho_model/node10000.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f7d202a7d5c4a835d53aa61115a2f4c091464fdc96dcbd4718e6fb77b102fcb
+size 12950