Item talk:Q327542

{

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   "doi": "10.5066/p90gmhsm",
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       "name": "Stumpf, Richard",
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       "name": "Werdell, Jeremy",
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     {
       "name": "Salls, Wilson",
       "nameType": "Personal",
       "givenName": "Wilson",
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   ],
   "titles": [
     {
       "title": "CyAN Field Integrated Exploratory Lakes Database (CyAN FIELD)"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2019,
   "subjects": [],
   "contributors": [],
   "dates": [
     {
       "date": "2019",
       "dateType": "Issued"
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   "types": {
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   "descriptions": [
     {
       "description": "The Cyanobacteria Assessment Network (CyAN) is a multi-agency project to develop remote sensing technology using satellite data to provide early warnings for cyanobacteria and algal blooms in U.S. lakes and reservoirs. To support remote sensing efforts by CyAN, validating satellite imagery is critical to developing early warning indicators for cyanobacteria and algae blooms. This open access R-script, R-Stuido tool has a Shiny app interface to visualize field and laboratory measurements for parameters relevant to cyanobacteria blooms in U.S. lakes and reservoirs. With automated QA queries, data are checked on a record-to-record basis for inter-parameter agreement and consistency. The user can download select data sets based on map bounds in the product.",
       "descriptionType": "Abstract"
     }
   ],
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   "fundingReferences": [],
   "url": "https://code.usgs.gov/water/stats/cyan/tree/v1.0.0",
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   "created": "2019-10-02T15:32:48Z",
   "registered": "2019-10-02T15:32:49Z",
   "published": null,
   "updated": "2021-11-28T04:26:57Z"
 }

}