Item talk:Q326274

{

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   "doi": "10.5066/p9icqpur",
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     {
       "name": "Patton, John",
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       "givenName": "John",
       "familyName": "Patton",
       "affiliation": [
         "United States Geological Survey"
       ],
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     },
     {
       "name": "Yeck, William L",
       "nameType": "Personal",
       "givenName": "William L",
       "familyName": "Yeck",
       "affiliation": [],
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           "nameIdentifier": "https://orcid.org/0000-0002-2801-8873",
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       ]
     }
   ],
   "titles": [
     {
       "title": "neic-machine-learning"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2020,
   "subjects": [
     {
       "subject": "earthquake, classification, machine learning"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2020",
       "dateType": "Created"
     },
     {
       "date": "2020",
       "dateType": "Issued"
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   "descriptions": [
     {
       "description": "NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking.",
       "descriptionType": "Abstract"
     }
   ],
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   "url": "https://code.usgs.gov/ghsc/neic/algorithms/neic-machine-learning/-/tree/v1.0.0",
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   "created": "2020-07-23T15:20:49Z",
   "registered": "2020-07-23T15:20:52Z",
   "published": null,
   "updated": "2022-06-15T14:50:28Z"
 }

}