Item talk:Q328947

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{

 "id": "10.5066/p9l86og8",
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     {
       "name": "Button, Daniel T",
       "nameType": "Personal",
       "givenName": "Daniel T",
       "familyName": "Button",
       "affiliation": [],
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     {
       "name": "Waite, Ian R",
       "nameType": "Personal",
       "givenName": "Ian R",
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     },
     {
       "name": "Konrad, Christopher P",
       "nameType": "Personal",
       "givenName": "Christopher P",
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     {
       "name": "Nowell, Lisa H",
       "nameType": "Personal",
       "givenName": "Lisa H",
       "familyName": "Nowell",
       "affiliation": [],
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     },
     {
       "name": "Schmidt, Travis S",
       "nameType": "Personal",
       "givenName": "Travis S",
       "familyName": "Schmidt",
       "affiliation": [],
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           "nameIdentifier": "https://orcid.org/0000-0003-1400-0637",
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     },
     {
       "name": "Journey, Celeste A",
       "nameType": "Personal",
       "givenName": "Celeste A",
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       "affiliation": [],
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       "name": "Sheibley, Rich W",
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   "titles": [
     {
       "title": "Water-quality and stream-habitat metrics calculated for the National Water-Quality Assessment Program's Regional Stream Quality Assessment conducted in the southeast United States in support of ecological and habitat stressor models, 2014"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2019,
   "subjects": [
     {
       "subject": "Aquatic Biology,Environmental Health,Water Quality"
     }
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   "contributors": [],
   "dates": [
     {
       "date": "2019",
       "dateType": "Issued"
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       "relatedIdentifier": "https://doi.org/10.1016/j.scitotenv.2018.12.240",
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   "descriptions": [
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       "description": "This data release includes metrics from the Regional Stream Quality Assessment (RSQA) from the Southeast Region for habitat stressors related to water-quality and habitat substrate. The goals of RSQA are to characterize multiple water-quality factors that are stressors to aquatic life -- contaminants, nutrients, sediment, and streamflow alteration -- and to develop a better understanding of the relation of these stressors to ecological conditions in streams throughout the region. In order to characterize water-quality variables and stream-habitat measurements as an aggregation of multiple measurements over a sampling period, and in support of ecological stressor modelling, metrics (summary statistics or indices) were computed from individual results by site using consistent methods over a consistent time frame. Water-quality metrics are based on discrete samples as well as long-term deployed passive samplers.",
       "descriptionType": "Abstract"
     }
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