Item talk:Q323851

{

 "DOI": {
   "doi": "10.5066/p9wyvej6",
   "identifiers": [],
   "creators": [
     {
       "name": "Dailey, Evan T",
       "nameType": "Personal",
       "givenName": "Evan T",
       "familyName": "Dailey",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-4382-3870",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Hatcher, Gerry",
       "nameType": "Personal",
       "givenName": "Gerry",
       "familyName": "Hatcher",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0001-7705-1509",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "squid5-software"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2020,
   "subjects": [
     {
       "subject": "software, photography, structure-from-motion"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2020",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "COMP",
     "bibtex": "misc",
     "citeproc": "article",
     "schemaOrg": "SoftwareSourceCode",
     "resourceType": "Software",
     "resourceTypeGeneral": "Software"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.3389/fmars.2020.00525",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "This software was developed for and used by the structure-from-motion (SfM) quantitative underwater imaging device with five cameras (SQUID-5) project. The SQUID-5's camera exposure and sensor gain settings are set identically using a program written with the Spinnaker SDK and examples. Another Spinnaker SDK based program was created to collect, format and save image data to long-term-storage with filenames created based on the camera serial number, image count, and timestamp. An instance of this program is launched for each camera during acquisition. The Python script imgView.py is run on the acquisition computer during operations and displays images from each camera with a small time delay for real-time quality control. Preliminary post-processing image file/GPS location information reconciliation is accomplished with another Python script to match images from each camera for every event where there should be images, and any camera that didn't collect an image is flagged; this step is crucial for syncing the images during SfM processing.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://code.usgs.gov/cmgp/squid5-software",
   "contentUrl": null,
   "metadataVersion": 1,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
   "downloadCount": 0,
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   "citationCount": 0,
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   "created": "2020-03-24T21:14:54Z",
   "registered": "2020-03-24T21:14:55Z",
   "published": null,
   "updated": "2023-05-10T16:16:54Z"
 }

}