Item talk:Q319531

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     {
       "name": "David R Shelly",
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         "United States Geological Survey"
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     {
       "name": "Dara E Goldberg",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
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     {
       "name": "Kathryn Z Materna",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
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     {
       "name": "Robert J Skoumal",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
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     {
       "name": "Jeanne L Hardebeck",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
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   ],
   "titles": [
     {
       "title": "Supporting Data for \"Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California, earthquake sequence\""
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2024,
   "subjects": [
     {
       "subject": "seismology"
     },
     {
       "subject": "geophysics"
     }
   ],
   "contributors": [],
   "dates": [],
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   "types": {
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   "descriptions": [
     {
       "description": "This data release pertains to the December 20, 2022, Mw 6.4 Ferndale, California, earthquake and complements the following publication: Shelly, D. R., D. E. Goldberg, K. Z. Materna, R. J. Skoumal, J. L. Hardebeck., C. E. Yoon, W. L. Yeck, and P. S. Earle (2024). Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California, earthquake sequence, Science Advances, https://doi.org/10.1126/sciadv.adl1226.\n\nThis page contains:\n(1) Files pertaining to earthquake relocations,\n(2) Files pertaining to postseismic GNSS analysis, and\n(3) Input data and model results from the coseismic finite-fault inversions.\nSee attached ReadMe.txt for details.\nThe dataset includes broadband teleseismic data, regional strong-motion accelerometer data, high-rate Global Navigation Satellite System (GNSS) data, static GNSS offset estimates, and a centroid moment tensor solution in the formats necessary for input to the Wavelet and simulated Annealing SliP (WASP) finite fault inversion code (https://code.usgs.gov/ghsc/neic/algorithms/neic-finitefault). The broadband seismic data in this data release are from globally distributed seismometers from networks G (https://doi.org/10.18715/GEOSCOPE.G), GE (https://doi.org/10.14470/TR560404), GR (https://doi.org/10.25928/mbx6-hr74), GT (https://doi.org/10.7914/SN/GT), II (https://doi.org/10.7914/SN/II), IU (https://doi.org/10.7914/SN/IU), and US (https://doi.org/10.7914/SN/US). Strong-motion accelerometer data are from networks BK (https://doi.org/10.7932/BDSN), NC (https://doi.org/10.7914/SN/NC), and NP (https://doi.org/10.7914/SN/NP). Global Navigation Satellite System (GNSS) data are from the Network of the Americas, operated by the EarthScope Consortium (https://www.unavco.org/nota/).\n\nPlease see Goldberg et al. (2022) for details on NEIC finite fault inversion procedures: Goldberg, D. E., P. Koch, D. Melgar, S. Riquelme, and W. L. Yeck (2022). Beyond the Teleseism: Introducing Regional Seismic and Geodetic Data into Routine USGS Finite-Fault Modeling, Seismol. Res. Lett. 93 (6): 3308\u20133323, https://doi.org/10.1785/0220220047.\n",
       "descriptionType": "Abstract"
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   "created": "2024-02-15T19:45:32Z",
   "registered": "2024-02-15T19:45:32Z",
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   "updated": "2024-02-15T19:45:36Z"
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