liufeng
commited on
Commit
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5b6026c
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Parent(s):
5371673
update:readme
Browse files
Datasets-Construction/OpenSWI-real/CSRM/01_CSRM_Real.ipynb
CHANGED
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@@ -809,14 +809,14 @@
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"from cartopy.io.shapereader import Reader\n",
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"import matplotlib as mpl\n",
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"sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer-local/\")\n",
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-
"from
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"\n",
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"# Load custom shapefile for coastlines\n",
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-
"custom_shapefile_path =\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer-local/
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"coastline_feature = ShapelyFeature(Reader(custom_shapefile_path).geometries(), ccrs.PlateCarree())\n",
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"\n",
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"# load the colormap from GMT\n",
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-
"cpt_file = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer-local/
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"cmap = load_cpt(cpt_file,num_colors=20,reverse=True)\n",
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"\n",
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"\n",
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"from cartopy.io.shapereader import Reader\n",
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"import matplotlib as mpl\n",
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"sys.path.append(\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer-local/\")\n",
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+
"from SWInversion.plots import load_cpt\n",
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"\n",
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"# Load custom shapefile for coastlines\n",
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+
"custom_shapefile_path =\"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer-local/SWInversion/plot_source/ne_110m_admin_0_countries/ne_110m_admin_0_countries.shx\"\n",
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"coastline_feature = ShapelyFeature(Reader(custom_shapefile_path).geometries(), ccrs.PlateCarree())\n",
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"\n",
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"# load the colormap from GMT\n",
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+
"cpt_file = \"/home/bingxing2/ailab/scxlab0055/project/04_Inversion/SurfWaveInv/DispFormer-local/SWInversion/plot_source/GMT_panoply.cpt\"\n",
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"cmap = load_cpt(cpt_file,num_colors=20,reverse=True)\n",
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"\n",
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"\n",
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Datasets-Construction/OpenSWI-shallow/0.2-10s-Aug/Data-statistic.ipynb
CHANGED
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}
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],
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"source": [
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"from
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"\n",
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"idx = 1000000\n",
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"\n",
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}
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],
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"source": [
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-
"from
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"new_vel_model_temp = new_vel_model_temp.astype(np.float64)\n",
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"t = generate_mixed_samples(num_samples=100,start=0.5,end=10,uniform_num=30,log_num=30,random_num=40)\n",
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"disp_res = calculate_dispersion(new_vel_model_temp,t=t,dc=0.001)\n",
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}
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],
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"source": [
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"from SWInversion.dispersion import *\n",
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"\n",
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"idx = 1000000\n",
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"\n",
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}
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],
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"source": [
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"from SWInversion.dispersion import *\n",
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"new_vel_model_temp = new_vel_model_temp.astype(np.float64)\n",
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"t = generate_mixed_samples(num_samples=100,start=0.5,end=10,uniform_num=30,log_num=30,random_num=40)\n",
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"disp_res = calculate_dispersion(new_vel_model_temp,t=t,dc=0.001)\n",
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Datasets-Construction/OpenSWI-shallow/0.2-10s-Base/Data-statistic.ipynb
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}
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],
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"source": [
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"from
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"\n",
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"idx = 1000000\n",
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"\n",
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}
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],
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"source": [
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-
"from
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"new_vel_model_temp = new_vel_model_temp.astype(np.float64)\n",
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"t = generate_mixed_samples(num_samples=100,start=0.5,end=10,uniform_num=30,log_num=30,random_num=40)\n",
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"disp_res = calculate_dispersion(new_vel_model_temp,t=t,dc=0.001)\n",
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}
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],
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"source": [
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"from SWInversion.dispersion import *\n",
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"\n",
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"idx = 1000000\n",
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"\n",
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}
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],
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"source": [
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"from SWInversion.dispersion import *\n",
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"new_vel_model_temp = new_vel_model_temp.astype(np.float64)\n",
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"t = generate_mixed_samples(num_samples=100,start=0.5,end=10,uniform_num=30,log_num=30,random_num=40)\n",
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"disp_res = calculate_dispersion(new_vel_model_temp,t=t,dc=0.001)\n",
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Datasets/README.md
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|
| 1 |
+
<h1 align="center">OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion</h1>
|
| 2 |
+
<h5 align="center">Feng Liu, Sijie Zhao, Xinyu Gu, Fenghua Lin, Yaxing Li*, Rui Su*, Jianping Huang, Lei Bai</h5>
|
| 3 |
+
|
| 4 |
+
### Source of the OpenSWI
|
| 5 |
+
|
| 6 |
+
<table>
|
| 7 |
+
<thead>
|
| 8 |
+
<tr>
|
| 9 |
+
<th>Group</th>
|
| 10 |
+
<th>Reference</th>
|
| 11 |
+
<th>Datasets</th>
|
| 12 |
+
<th>Geological Feature/Cover Region</th>
|
| 13 |
+
<th>Model Variable</th>
|
| 14 |
+
<th>Model Size</th>
|
| 15 |
+
</tr>
|
| 16 |
+
</thead>
|
| 17 |
+
<tbody>
|
| 18 |
+
<tr>
|
| 19 |
+
<td rowspan="5">OpenSWI-shallow</td>
|
| 20 |
+
<td rowspan="5">Deng et al., 2021</td>
|
| 21 |
+
<td>OpenFWI-FlatVelA</td>
|
| 22 |
+
<td>Flat</td>
|
| 23 |
+
<td>vp</td>
|
| 24 |
+
<td>30,000 x 1 x 70 x 70</td>
|
| 25 |
+
</tr>
|
| 26 |
+
<tr>
|
| 27 |
+
<td>OpenFWI-Flat-FaultA</td>
|
| 28 |
+
<td>Flat + Fault</td>
|
| 29 |
+
<td>vp</td>
|
| 30 |
+
<td>54,000 x 1 x 70 x 70</td>
|
| 31 |
+
</tr>
|
| 32 |
+
<tr>
|
| 33 |
+
<td>OpenFWI-CurveVel</td>
|
| 34 |
+
<td>Fold</td>
|
| 35 |
+
<td>vp</td>
|
| 36 |
+
<td>30,000 x 1 x 70 x 70</td>
|
| 37 |
+
</tr>
|
| 38 |
+
<tr>
|
| 39 |
+
<td>OpenFWI-Fold-Fault</td>
|
| 40 |
+
<td>Fold + Fault</td>
|
| 41 |
+
<td>vp</td>
|
| 42 |
+
<td>54,000 x 1 x 70 x 70</td>
|
| 43 |
+
</tr>
|
| 44 |
+
<tr>
|
| 45 |
+
<td>OpenFWI-StyleA</td>
|
| 46 |
+
<td>Field</td>
|
| 47 |
+
<td>vp</td>
|
| 48 |
+
<td>67,000 x 1 x 70 x 70</td>
|
| 49 |
+
</tr>
|
| 50 |
+
|
| 51 |
+
<tr>
|
| 52 |
+
<td rowspan="14">OpenSWI-deep</td>
|
| 53 |
+
<td>Pasyanos et al., 2014</td>
|
| 54 |
+
<td>LITHO1.0</td>
|
| 55 |
+
<td>Global</td>
|
| 56 |
+
<td>depth, vs</td>
|
| 57 |
+
<td>40,962 x 2 x 96</td>
|
| 58 |
+
</tr>
|
| 59 |
+
<tr>
|
| 60 |
+
<td>Xin et al., 2018</td>
|
| 61 |
+
<td>USTClitho1.0</td>
|
| 62 |
+
<td>China</td>
|
| 63 |
+
<td>depth, vs</td>
|
| 64 |
+
<td>9,125 x 2 x 12</td>
|
| 65 |
+
</tr>
|
| 66 |
+
<tr>
|
| 67 |
+
<td>Shen et al., 2013</td>
|
| 68 |
+
<td>Central-and-Western US</td>
|
| 69 |
+
<td>Central and Western US</td>
|
| 70 |
+
<td>depth, vs</td>
|
| 71 |
+
<td>6,803 x 2 x 72</td>
|
| 72 |
+
</tr>
|
| 73 |
+
<tr>
|
| 74 |
+
<td>Shen et al., 2016</td>
|
| 75 |
+
<td>Continental China</td>
|
| 76 |
+
<td>China</td>
|
| 77 |
+
<td>depth, vs</td>
|
| 78 |
+
<td>4,516 x 2 x 400</td>
|
| 79 |
+
</tr>
|
| 80 |
+
<tr>
|
| 81 |
+
<td>Xie et al., 2018</td>
|
| 82 |
+
<td>US Upper-Mantle</td>
|
| 83 |
+
<td>American</td>
|
| 84 |
+
<td>depth, vs</td>
|
| 85 |
+
<td>3,678 x 2 x 600</td>
|
| 86 |
+
</tr>
|
| 87 |
+
<tr>
|
| 88 |
+
<td>Lu et al., 2018</td>
|
| 89 |
+
<td>EUcrust</td>
|
| 90 |
+
<td>European</td>
|
| 91 |
+
<td>depth, vs</td>
|
| 92 |
+
<td>43,520 x 2 x 80</td>
|
| 93 |
+
</tr>
|
| 94 |
+
<tr>
|
| 95 |
+
<td>Berg et al., 2020</td>
|
| 96 |
+
<td>Alaska</td>
|
| 97 |
+
<td>Alaska</td>
|
| 98 |
+
<td>depth, vs</td>
|
| 99 |
+
<td>19,408 x 2 x 156</td>
|
| 100 |
+
</tr>
|
| 101 |
+
<tr>
|
| 102 |
+
<td>Blom et al., 2020; Fichtner et al., 2018; Çubuk-Sabuncu et al., 2017</td>
|
| 103 |
+
<td>CSEM-Europe</td>
|
| 104 |
+
<td>European</td>
|
| 105 |
+
<td>depth, vsv, vsh</td>
|
| 106 |
+
<td>21,931 x 3 x 61</td>
|
| 107 |
+
</tr>
|
| 108 |
+
<tr>
|
| 109 |
+
<td>Blom et al., 2020; Fichtner et al., 2018</td>
|
| 110 |
+
<td>CSEM-Eastmed</td>
|
| 111 |
+
<td>Eastern Mediterranean</td>
|
| 112 |
+
<td>depth, vsv, vsh</td>
|
| 113 |
+
<td>12,782 x 3 x 81</td>
|
| 114 |
+
</tr>
|
| 115 |
+
<tr>
|
| 116 |
+
<td>Fichtner et al., 2018; Fichtner et al., 2015</td>
|
| 117 |
+
<td>CSEM-Iberian</td>
|
| 118 |
+
<td>Iberian (Western Mediterranean)</td>
|
| 119 |
+
<td>depth, vsv, vsh</td>
|
| 120 |
+
<td>9,102 x 3 x 81</td>
|
| 121 |
+
</tr>
|
| 122 |
+
<tr>
|
| 123 |
+
<td>Fichtner et al., 2018; Colli et al., 2013</td>
|
| 124 |
+
<td>CSEM-South Atlantic</td>
|
| 125 |
+
<td>South Atlantic</td>
|
| 126 |
+
<td>depth, vsv, vsh</td>
|
| 127 |
+
<td>7,371 x 3 x 51</td>
|
| 128 |
+
</tr>
|
| 129 |
+
<tr>
|
| 130 |
+
<td>Fichtner et al., 2018; Krischer et al., 2018</td>
|
| 131 |
+
<td>CSEM-North Atlantic</td>
|
| 132 |
+
<td>North Atlantic</td>
|
| 133 |
+
<td>depth, vsv, vsh</td>
|
| 134 |
+
<td>14,541 x 3 x 51</td>
|
| 135 |
+
</tr>
|
| 136 |
+
<tr>
|
| 137 |
+
<td>Fichtner et al., 2018; Simutė et al., 2016</td>
|
| 138 |
+
<td>CSEM-Japan</td>
|
| 139 |
+
<td>Japanese Islands</td>
|
| 140 |
+
<td>depth, vsv, vsh</td>
|
| 141 |
+
<td>14,641 x 3 x 61</td>
|
| 142 |
+
</tr>
|
| 143 |
+
<tr>
|
| 144 |
+
<td>Fichtner et al., 2018; Fichtner et al., 2010</td>
|
| 145 |
+
<td>CSEM-Astralasia</td>
|
| 146 |
+
<td>Australasian</td>
|
| 147 |
+
<td>depth, vsv, vsh</td>
|
| 148 |
+
<td>4,131 x 3 x 51</td>
|
| 149 |
+
</tr>
|
| 150 |
+
|
| 151 |
+
<tr>
|
| 152 |
+
<td rowspan="2">OpenSWI-real</td>
|
| 153 |
+
<td>Fu et al., 2022</td>
|
| 154 |
+
<td>LongBeach</td>
|
| 155 |
+
<td>American</td>
|
| 156 |
+
<td>depth, vs</td>
|
| 157 |
+
<td>5,297 x 2 x 241</td>
|
| 158 |
+
</tr>
|
| 159 |
+
<tr>
|
| 160 |
+
<td>Xiao et al., 2024</td>
|
| 161 |
+
<td>CSRM</td>
|
| 162 |
+
<td>Continental China</td>
|
| 163 |
+
<td>depth, vs</td>
|
| 164 |
+
<td>12,901 x 2 x 145</td>
|
| 165 |
+
</tr>
|
| 166 |
+
</tbody>
|
| 167 |
+
</table>
|
| 168 |
+
|
| 169 |
+
---
|
| 170 |
+
|
| 171 |
+
### Details of OpenSWI
|
| 172 |
+
<table>
|
| 173 |
+
<thead>
|
| 174 |
+
<tr>
|
| 175 |
+
<th>Group</th>
|
| 176 |
+
<th>Datasets</th>
|
| 177 |
+
<th>Period Range (s)</th>
|
| 178 |
+
<th>Depth Range and Interval (km)</th>
|
| 179 |
+
<th>Extracted 1D Velocity</th>
|
| 180 |
+
<th>Augmented 1D Velocity</th>
|
| 181 |
+
</tr>
|
| 182 |
+
</thead>
|
| 183 |
+
<tbody>
|
| 184 |
+
|
| 185 |
+
<tr>
|
| 186 |
+
<td rowspan="5">OpenSWI-shallow</td>
|
| 187 |
+
<td>OpenFWI-FlatVelA</td>
|
| 188 |
+
<td>0.1-10 s</td>
|
| 189 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 190 |
+
<td>30,000 x 4 x 70</td>
|
| 191 |
+
<td>1,490,415 x 4 x 70</td>
|
| 192 |
+
</tr>
|
| 193 |
+
<tr>
|
| 194 |
+
<td>OpenFWI-Flat-FaultA</td>
|
| 195 |
+
<td>0.1-10 s</td>
|
| 196 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 197 |
+
<td>292,941 x 4 x 70</td>
|
| 198 |
+
<td>2,925,151 x 4 x 70</td>
|
| 199 |
+
</tr>
|
| 200 |
+
<tr>
|
| 201 |
+
<td>OpenFWI-CurveVel</td>
|
| 202 |
+
<td>0.1-10 s</td>
|
| 203 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 204 |
+
<td>295,773 x 4 x 70</td>
|
| 205 |
+
<td>2,952,975 x 4 x 70</td>
|
| 206 |
+
</tr>
|
| 207 |
+
<tr>
|
| 208 |
+
<td>OpenFWI-Fold-Fault</td>
|
| 209 |
+
<td>0.1-10 s</td>
|
| 210 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 211 |
+
<td>537,774 x 4 x 70</td>
|
| 212 |
+
<td>5,369,692 x 4 x 70</td>
|
| 213 |
+
</tr>
|
| 214 |
+
<tr>
|
| 215 |
+
<td>OpenFWI-StyleA</td>
|
| 216 |
+
<td>0.1-10 s</td>
|
| 217 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 218 |
+
<td>2,344,958 x 4 x 70</td>
|
| 219 |
+
<td>9,345,103 x 4 x 70</td>
|
| 220 |
+
</tr>
|
| 221 |
+
|
| 222 |
+
<tr>
|
| 223 |
+
<td rowspan="14">OpenSWI-deep</td>
|
| 224 |
+
<td>LITHO1.0</td>
|
| 225 |
+
<td>1-100 s</td>
|
| 226 |
+
<td>0-300 km / 1.0 km</td>
|
| 227 |
+
<td>40,959 x 4 x 300</td>
|
| 228 |
+
<td>245,771 x 4 x 70</td>
|
| 229 |
+
</tr>
|
| 230 |
+
<tr>
|
| 231 |
+
<td>USTClitho1.0</td>
|
| 232 |
+
<td>1-100 s</td>
|
| 233 |
+
<td>0-300 km / 1.0 km</td>
|
| 234 |
+
<td>9,125 x 4 x 300</td>
|
| 235 |
+
<td>54,750 x 4 x 70</td>
|
| 236 |
+
</tr>
|
| 237 |
+
<tr>
|
| 238 |
+
<td>Central-and-Western US</td>
|
| 239 |
+
<td>1-100 s</td>
|
| 240 |
+
<td>0-300 km / 1.0 km</td>
|
| 241 |
+
<td>6,803 x 4 x 300</td>
|
| 242 |
+
<td>40,818 x 4 x 70</td>
|
| 243 |
+
</tr>
|
| 244 |
+
<tr>
|
| 245 |
+
<td>Continental China</td>
|
| 246 |
+
<td>1-100 s</td>
|
| 247 |
+
<td>0-300 km / 1.0 km</td>
|
| 248 |
+
<td>4,516 x 4 x 300</td>
|
| 249 |
+
<td>27,096 x 4 x 70</td>
|
| 250 |
+
</tr>
|
| 251 |
+
<tr>
|
| 252 |
+
<td>US Upper-Mantle</td>
|
| 253 |
+
<td>1-100 s</td>
|
| 254 |
+
<td>0-300 km / 1.0 km</td>
|
| 255 |
+
<td>3,678 x 4 x 300</td>
|
| 256 |
+
<td>22,061 x 4 x 70</td>
|
| 257 |
+
</tr>
|
| 258 |
+
<tr>
|
| 259 |
+
<td>EUcrust</td>
|
| 260 |
+
<td>1-100 s</td>
|
| 261 |
+
<td>0-300 km / 1.0 km</td>
|
| 262 |
+
<td>43,520 x 4 x 300</td>
|
| 263 |
+
<td>261,155 x 4 x 70</td>
|
| 264 |
+
</tr>
|
| 265 |
+
<tr>
|
| 266 |
+
<td>Alaska</td>
|
| 267 |
+
<td>1-100 s</td>
|
| 268 |
+
<td>0-300 km / 1.0 km</td>
|
| 269 |
+
<td>19,408 x 4 x 300</td>
|
| 270 |
+
<td>116,448 x 4 x 70</td>
|
| 271 |
+
</tr>
|
| 272 |
+
<tr>
|
| 273 |
+
<td>CSEM-Europe</td>
|
| 274 |
+
<td>1-100 s</td>
|
| 275 |
+
<td>0-300 km / 1.0 km</td>
|
| 276 |
+
<td>21,931 x 4 x 300</td>
|
| 277 |
+
<td>131,586 x 4 x 70</td>
|
| 278 |
+
</tr>
|
| 279 |
+
<tr>
|
| 280 |
+
<td>CSEM-Eastmed</td>
|
| 281 |
+
<td>1-100 s</td>
|
| 282 |
+
<td>0-300 km / 1.0 km</td>
|
| 283 |
+
<td>12,782 x 4 x 300</td>
|
| 284 |
+
<td>76,692 x 4 x 70</td>
|
| 285 |
+
</tr>
|
| 286 |
+
<tr>
|
| 287 |
+
<td>CSEM-Iberian</td>
|
| 288 |
+
<td>1-100 s</td>
|
| 289 |
+
<td>0-300 km / 1.0 km</td>
|
| 290 |
+
<td>9,102 x 4 x 300</td>
|
| 291 |
+
<td>54,612 x 4 x 70</td>
|
| 292 |
+
</tr>
|
| 293 |
+
<tr>
|
| 294 |
+
<td>CSEM-South Atlantic</td>
|
| 295 |
+
<td>1-100 s</td>
|
| 296 |
+
<td>0-300 km / 1.0 km</td>
|
| 297 |
+
<td>7,371 x 4 x 300</td>
|
| 298 |
+
<td>44,226 x 4 x 70</td>
|
| 299 |
+
</tr>
|
| 300 |
+
<tr>
|
| 301 |
+
<td>CSEM-North Atlantic</td>
|
| 302 |
+
<td>1-100 s</td>
|
| 303 |
+
<td>0-300 km / 1.0 km</td>
|
| 304 |
+
<td>14,541 x 4 x 300</td>
|
| 305 |
+
<td>87,246 x 4 x 70</td>
|
| 306 |
+
</tr>
|
| 307 |
+
<tr>
|
| 308 |
+
<td>CSEM-Japan</td>
|
| 309 |
+
<td>1-100 s</td>
|
| 310 |
+
<td>0-300 km / 1.0 km</td>
|
| 311 |
+
<td>14,641 x 4 x 300</td>
|
| 312 |
+
<td>87,846 x 4 x 70</td>
|
| 313 |
+
</tr>
|
| 314 |
+
<tr>
|
| 315 |
+
<td>CSEM-Astralasia</td>
|
| 316 |
+
<td>1-100 s</td>
|
| 317 |
+
<td>0-300 km / 1.0 km</td>
|
| 318 |
+
<td>4,131 x 4 x 300</td>
|
| 319 |
+
<td>24,786 x 4 x 70</td>
|
| 320 |
+
</tr>
|
| 321 |
+
|
| 322 |
+
<tr>
|
| 323 |
+
<td rowspan="2">OpenSWI-real</td>
|
| 324 |
+
<td>LongBeach</td>
|
| 325 |
+
<td>0.263 - 1.666 s</td>
|
| 326 |
+
<td>0-1.4 km / 0.04 km</td>
|
| 327 |
+
<td>5,297 x 4 x 35</td>
|
| 328 |
+
<td>-</td>
|
| 329 |
+
</tr>
|
| 330 |
+
<tr>
|
| 331 |
+
<td>CSRM</td>
|
| 332 |
+
<td>8 - 70 s</td>
|
| 333 |
+
<td>0-120 km / 1.0 km</td>
|
| 334 |
+
<td>12,901 x 4 x 120</td>
|
| 335 |
+
<td>-</td>
|
| 336 |
+
</tr>
|
| 337 |
+
|
| 338 |
+
</tbody>
|
| 339 |
+
</table>
|
| 340 |
+
|
| 341 |
+
---
|
| 342 |
+
|
| 343 |
+
### Reference
|
| 344 |
+
|
| 345 |
+
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).
|
| 346 |
+
|
| 347 |
+
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).
|
| 348 |
+
|
| 349 |
+
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)
|
| 350 |
+
|
| 351 |
+
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).
|
| 352 |
+
|
| 353 |
+
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).
|
| 354 |
+
|
| 355 |
+
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).
|
| 356 |
+
|
| 357 |
+
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).
|
| 358 |
+
|
| 359 |
+
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).
|
| 360 |
+
|
| 361 |
+
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).
|
| 362 |
+
|
| 363 |
+
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).
|
| 364 |
+
|
| 365 |
+
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).
|
| 366 |
+
|
| 367 |
+
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).
|
| 368 |
+
|
| 369 |
+
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).
|
| 370 |
+
|
| 371 |
+
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).
|
| 372 |
+
|
| 373 |
+
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).
|
| 374 |
+
|
| 375 |
+
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).
|
| 376 |
+
|
| 377 |
+
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).
|
| 378 |
+
|
| 379 |
+
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).
|
| 380 |
+
|
| 381 |
+
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).
|
| 382 |
+
|
| 383 |
+
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).
|
| 384 |
+
|
| 385 |
+
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).
|
Figure/Figure1.png
ADDED
|
Git LFS Details
|
README.md
CHANGED
|
@@ -11,7 +11,10 @@ size_categories:
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| 11 |
viewer: false
|
| 12 |
---
|
| 13 |
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| 14 |
-
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| 15 |
|
| 16 |
## 📖 **Overview**
|
| 17 |
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|
@@ -25,7 +28,178 @@ These datasets are ideal for training and evaluating deep learning models focuse
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|
| 25 |
|
| 26 |
---
|
| 27 |
|
| 28 |
-
## 📊 **Datasets**
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| 29 |
|
| 30 |
### 🏞️ **OpenSWI-Shallow**
|
| 31 |
|
|
@@ -89,9 +263,30 @@ These models provide a comprehensive representation of both regional and global
|
|
| 89 |
* The **period range** for these curves is **8 to 70 seconds**, ideal for studying deeper geological structures.
|
| 90 |
* Data is sourced from a dense network of seismic stations across mainland China, offering comprehensive coverage for advanced inversion tasks.
|
| 91 |
|
| 92 |
-
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|
| 93 |
|
| 94 |
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|
| 95 |
## 🔍 **Reference**
|
| 96 |
<details>
|
| 97 |
<summary>Click to expand related works</summary>
|
|
@@ -99,39 +294,44 @@ These models provide a comprehensive representation of both regional and global
|
|
| 99 |
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).
|
| 100 |
|
| 101 |
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).
|
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|
| 102 |
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
4. **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).
|
| 106 |
|
| 107 |
-
|
| 108 |
|
| 109 |
-
|
| 110 |
|
| 111 |
-
|
| 112 |
|
| 113 |
-
|
| 114 |
|
| 115 |
-
|
| 116 |
|
| 117 |
-
|
| 118 |
|
| 119 |
-
|
| 120 |
|
| 121 |
-
|
| 122 |
|
| 123 |
-
|
| 124 |
|
| 125 |
-
|
| 126 |
|
| 127 |
-
|
| 128 |
-
@article{liufeng_2025_openswi,
|
| 129 |
-
title={OpenSWI: A Massive Surface-Wave Dispersion Curve Inversion Benchmark Dataset},
|
| 130 |
-
author={Feng Liu, Sijie Zhao},
|
| 131 |
-
year={2025},
|
| 132 |
-
}
|
| 133 |
-
```
|
| 134 |
|
| 135 |
-
|
| 136 |
|
| 137 |
-
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| 11 |
viewer: false
|
| 12 |
---
|
| 13 |
|
| 14 |
+
<h1 align="center">OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion</h1>
|
| 15 |
+
<h5 align="center"><a href="https://liufeng2317.github.io/">Feng Liu</a>, Sijie Zhao, Xinyu Gu, Fenghua Lin, Yaxing Li*, Rui Su*, Jianping Huang, Lei Bai</h5>
|
| 16 |
+
|
| 17 |
+

|
| 18 |
|
| 19 |
## 📖 **Overview**
|
| 20 |
|
|
|
|
| 28 |
|
| 29 |
---
|
| 30 |
|
| 31 |
+
## 📊 **OpenSWI Datasets**
|
| 32 |
+
|
| 33 |
+
<table>
|
| 34 |
+
<thead>
|
| 35 |
+
<tr>
|
| 36 |
+
<th>Group</th>
|
| 37 |
+
<th>Datasets</th>
|
| 38 |
+
<th>Period Range (s)</th>
|
| 39 |
+
<th>Depth Range and Interval (km)</th>
|
| 40 |
+
<th>Extracted 1D Velocity</th>
|
| 41 |
+
<th>Augmented 1D Velocity</th>
|
| 42 |
+
</tr>
|
| 43 |
+
</thead>
|
| 44 |
+
<tbody>
|
| 45 |
+
|
| 46 |
+
<tr>
|
| 47 |
+
<td rowspan="5"><a href="https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-shallow/0.2-10s-Aug">OpenSWI-shallow</a></td>
|
| 48 |
+
<td>OpenFWI-FlatVelA</td>
|
| 49 |
+
<td>0.1-10 s</td>
|
| 50 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 51 |
+
<td>30,000 x 4 x 70</td>
|
| 52 |
+
<td>1,490,415 x 4 x 70</td>
|
| 53 |
+
</tr>
|
| 54 |
+
<tr>
|
| 55 |
+
<td>OpenFWI-Flat-FaultA</td>
|
| 56 |
+
<td>0.1-10 s</td>
|
| 57 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 58 |
+
<td>292,941 x 4 x 70</td>
|
| 59 |
+
<td>2,925,151 x 4 x 70</td>
|
| 60 |
+
</tr>
|
| 61 |
+
<tr>
|
| 62 |
+
<td>OpenFWI-CurveVel</td>
|
| 63 |
+
<td>0.1-10 s</td>
|
| 64 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 65 |
+
<td>295,773 x 4 x 70</td>
|
| 66 |
+
<td>2,952,975 x 4 x 70</td>
|
| 67 |
+
</tr>
|
| 68 |
+
<tr>
|
| 69 |
+
<td>OpenFWI-Fold-Fault</td>
|
| 70 |
+
<td>0.1-10 s</td>
|
| 71 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 72 |
+
<td>537,774 x 4 x 70</td>
|
| 73 |
+
<td>5,369,692 x 4 x 70</td>
|
| 74 |
+
</tr>
|
| 75 |
+
<tr>
|
| 76 |
+
<td>OpenFWI-StyleA</td>
|
| 77 |
+
<td>0.1-10 s</td>
|
| 78 |
+
<td>0-2.8 km / 0.04 km</td>
|
| 79 |
+
<td>2,344,958 x 4 x 70</td>
|
| 80 |
+
<td>9,345,103 x 4 x 70</td>
|
| 81 |
+
</tr>
|
| 82 |
+
|
| 83 |
+
<tr>
|
| 84 |
+
<td rowspan="14"><a href="https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-deep/homo-thickness-aug">OpenSWI-deep</a></td>
|
| 85 |
+
<td>LITHO1.0</td>
|
| 86 |
+
<td>1-100 s</td>
|
| 87 |
+
<td>0-300 km / 1.0 km</td>
|
| 88 |
+
<td>40,959 x 4 x 300</td>
|
| 89 |
+
<td>245,771 x 4 x 70</td>
|
| 90 |
+
</tr>
|
| 91 |
+
<tr>
|
| 92 |
+
<td>USTClitho1.0</td>
|
| 93 |
+
<td>1-100 s</td>
|
| 94 |
+
<td>0-300 km / 1.0 km</td>
|
| 95 |
+
<td>9,125 x 4 x 300</td>
|
| 96 |
+
<td>54,750 x 4 x 70</td>
|
| 97 |
+
</tr>
|
| 98 |
+
<tr>
|
| 99 |
+
<td>Central-and-Western US</td>
|
| 100 |
+
<td>1-100 s</td>
|
| 101 |
+
<td>0-300 km / 1.0 km</td>
|
| 102 |
+
<td>6,803 x 4 x 300</td>
|
| 103 |
+
<td>40,818 x 4 x 70</td>
|
| 104 |
+
</tr>
|
| 105 |
+
<tr>
|
| 106 |
+
<td>Continental China</td>
|
| 107 |
+
<td>1-100 s</td>
|
| 108 |
+
<td>0-300 km / 1.0 km</td>
|
| 109 |
+
<td>4,516 x 4 x 300</td>
|
| 110 |
+
<td>27,096 x 4 x 70</td>
|
| 111 |
+
</tr>
|
| 112 |
+
<tr>
|
| 113 |
+
<td>US Upper-Mantle</td>
|
| 114 |
+
<td>1-100 s</td>
|
| 115 |
+
<td>0-300 km / 1.0 km</td>
|
| 116 |
+
<td>3,678 x 4 x 300</td>
|
| 117 |
+
<td>22,061 x 4 x 70</td>
|
| 118 |
+
</tr>
|
| 119 |
+
<tr>
|
| 120 |
+
<td>EUcrust</td>
|
| 121 |
+
<td>1-100 s</td>
|
| 122 |
+
<td>0-300 km / 1.0 km</td>
|
| 123 |
+
<td>43,520 x 4 x 300</td>
|
| 124 |
+
<td>261,155 x 4 x 70</td>
|
| 125 |
+
</tr>
|
| 126 |
+
<tr>
|
| 127 |
+
<td>Alaska</td>
|
| 128 |
+
<td>1-100 s</td>
|
| 129 |
+
<td>0-300 km / 1.0 km</td>
|
| 130 |
+
<td>19,408 x 4 x 300</td>
|
| 131 |
+
<td>116,448 x 4 x 70</td>
|
| 132 |
+
</tr>
|
| 133 |
+
<tr>
|
| 134 |
+
<td>CSEM-Europe</td>
|
| 135 |
+
<td>1-100 s</td>
|
| 136 |
+
<td>0-300 km / 1.0 km</td>
|
| 137 |
+
<td>21,931 x 4 x 300</td>
|
| 138 |
+
<td>131,586 x 4 x 70</td>
|
| 139 |
+
</tr>
|
| 140 |
+
<tr>
|
| 141 |
+
<td>CSEM-Eastmed</td>
|
| 142 |
+
<td>1-100 s</td>
|
| 143 |
+
<td>0-300 km / 1.0 km</td>
|
| 144 |
+
<td>12,782 x 4 x 300</td>
|
| 145 |
+
<td>76,692 x 4 x 70</td>
|
| 146 |
+
</tr>
|
| 147 |
+
<tr>
|
| 148 |
+
<td>CSEM-Iberian</td>
|
| 149 |
+
<td>1-100 s</td>
|
| 150 |
+
<td>0-300 km / 1.0 km</td>
|
| 151 |
+
<td>9,102 x 4 x 300</td>
|
| 152 |
+
<td>54,612 x 4 x 70</td>
|
| 153 |
+
</tr>
|
| 154 |
+
<tr>
|
| 155 |
+
<td>CSEM-South Atlantic</td>
|
| 156 |
+
<td>1-100 s</td>
|
| 157 |
+
<td>0-300 km / 1.0 km</td>
|
| 158 |
+
<td>7,371 x 4 x 300</td>
|
| 159 |
+
<td>44,226 x 4 x 70</td>
|
| 160 |
+
</tr>
|
| 161 |
+
<tr>
|
| 162 |
+
<td>CSEM-North Atlantic</td>
|
| 163 |
+
<td>1-100 s</td>
|
| 164 |
+
<td>0-300 km / 1.0 km</td>
|
| 165 |
+
<td>14,541 x 4 x 300</td>
|
| 166 |
+
<td>87,246 x 4 x 70</td>
|
| 167 |
+
</tr>
|
| 168 |
+
<tr>
|
| 169 |
+
<td>CSEM-Japan</td>
|
| 170 |
+
<td>1-100 s</td>
|
| 171 |
+
<td>0-300 km / 1.0 km</td>
|
| 172 |
+
<td>14,641 x 4 x 300</td>
|
| 173 |
+
<td>87,846 x 4 x 70</td>
|
| 174 |
+
</tr>
|
| 175 |
+
<tr>
|
| 176 |
+
<td>CSEM-Astralasia</td>
|
| 177 |
+
<td>1-100 s</td>
|
| 178 |
+
<td>0-300 km / 1.0 km</td>
|
| 179 |
+
<td>4,131 x 4 x 300</td>
|
| 180 |
+
<td>24,786 x 4 x 70</td>
|
| 181 |
+
</tr>
|
| 182 |
+
|
| 183 |
+
<tr>
|
| 184 |
+
<td rowspan="2"><a href="https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-real/">OpenSWI-real</a></td>
|
| 185 |
+
<td><a href="https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-real/LongBeach">LongBeach</a></td>
|
| 186 |
+
<td>0.263 - 1.666 s</td>
|
| 187 |
+
<td>0-1.4 km / 0.04 km</td>
|
| 188 |
+
<td>5,297 x 4 x 35</td>
|
| 189 |
+
<td>-</td>
|
| 190 |
+
</tr>
|
| 191 |
+
<tr>
|
| 192 |
+
<td><a href="https://huggingface.co/datasets/LiuFeng2317/OpenSWI/tree/main/Datasets/OpenSWI-real/CSRM">CSRM</a></td>
|
| 193 |
+
<td>8 - 70 s</td>
|
| 194 |
+
<td>0-120 km / 1.0 km</td>
|
| 195 |
+
<td>12,901 x 4 x 120</td>
|
| 196 |
+
<td>-</td>
|
| 197 |
+
</tr>
|
| 198 |
+
|
| 199 |
+
</tbody>
|
| 200 |
+
</table>
|
| 201 |
+
|
| 202 |
+
> Details of the source of datasets can be found at [OpenSWI](./Datasets/README.md)
|
| 203 |
|
| 204 |
### 🏞️ **OpenSWI-Shallow**
|
| 205 |
|
|
|
|
| 263 |
* The **period range** for these curves is **8 to 70 seconds**, ideal for studying deeper geological structures.
|
| 264 |
* Data is sourced from a dense network of seismic stations across mainland China, offering comprehensive coverage for advanced inversion tasks.
|
| 265 |
|
| 266 |
+
|
| 267 |
+
----
|
| 268 |
+
|
| 269 |
+
## 📚 **Citation**
|
| 270 |
+
|
| 271 |
+
If you use this dataset in your research, please cite:
|
| 272 |
+
|
| 273 |
+
```bibtex
|
| 274 |
+
@article{liufeng_2025_openswi,
|
| 275 |
+
title={OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion},
|
| 276 |
+
author={Feng Liu, Sijie Zhao},
|
| 277 |
+
year={2025},
|
| 278 |
+
}
|
| 279 |
+
```
|
| 280 |
+
|
| 281 |
+
----
|
| 282 |
+
|
| 283 |
+
|
| 284 |
+
## 📝 **License**
|
| 285 |
+
|
| 286 |
+
Released under the **CC BY 4.0 License**. See the full license in the repository.
|
| 287 |
|
| 288 |
|
| 289 |
+
---
|
| 290 |
## 🔍 **Reference**
|
| 291 |
<details>
|
| 292 |
<summary>Click to expand related works</summary>
|
|
|
|
| 294 |
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).
|
| 295 |
|
| 296 |
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).
|
| 297 |
+
|
| 298 |
+
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)
|
| 299 |
+
|
| 300 |
+
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).
|
| 301 |
|
| 302 |
+
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</details>
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