{
"DOI": {
"doi": "10.5066/p9zpbqvh",
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"name": "Gendaszek, Andrew S",
"nameType": "Personal",
"givenName": "Andrew S",
"familyName": "Gendaszek",
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"nameIdentifier": "https://orcid.org/0000-0002-2373-8986",
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},
{
"name": "Hockman-Wert, David",
"nameType": "Personal",
"givenName": "David",
"familyName": "Hockman-Wert",
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{
"name": "Dunham, Jason",
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"givenName": "Jason",
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{
"name": "Torgersen, Christian",
"nameType": "Personal",
"givenName": "Christian",
"familyName": "Torgersen",
"affiliation": [],
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"schemeUri": "https://orcid.org",
"nameIdentifier": "https://orcid.org/0000-0001-8325-2737",
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],
"titles": [
{
"title": "Stream Temperature and Water Presence Models of Willow/Whitehorse and Willow/Rock Watersheds, Oregon and Nevada"
}
],
"publisher": "U.S. Geological Survey",
"container": {},
"publicationYear": 2020,
"subjects": [
{
"subject": "Ecology, Hydrology"
}
],
"contributors": [],
"dates": [
{
"date": "2020",
"dateType": "Issued"
}
],
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"relatedIdentifier": "10.3390/w12071962",
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"descriptions": [
{
"description": "This data release contains spatial stream network (SSN) objects and R scripts to run SSN models to predict mean monthly stream temperature between May and August and water presence on May 15, June 15, July 15, and August 15 in the Willow/Whitehorse watershed during 2015, 2016, and 2017 and the Willow/Rock watershed during 2016 and 2017. Functions referenced within the script may accessed in the SSN package version 1.1.13. (Ver Hoef et al., 2014). All functions and packages were compiled under R version 3.5.3 (R Development Core Team, 2014). The R script can be executed from any R console (R version 3.5.3) or from the RStudio GUI (version 1.1.463; https://www.rstudio.com/). R scripts to fit water temperature and flow presence SSN models are contained within the file \"WW_WR_SSN_Model_R_Scripts.zip\". SSN objects referenced by these scripts are contained within the file \"WW_WR_SSN_Objects.zip\". R Development Core Team, 2014, R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Ver Hoef, J. M., Peterson, E. E., Clifford, D., & Shah, R.,2014, SSN: An R package for spatial statistical modeling on stream networks. Journal of Statistical Software, 56(3), 1-45. https://doi.org/10.18637/jss.v056.i03",
"descriptionType": "Abstract"
}
],
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"created": "2020-06-19T16:53:48Z",
"registered": "2020-06-19T16:53:50Z",
"published": null,
"updated": "2023-06-06T08:56:32Z"
}
}