Item talk:Q319545: Difference between revisions
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{ | { | ||
" | "DOI": { | ||
"doi": "10.5066/p9tpgi0o", | "doi": "10.5066/p9tpgi0o", | ||
"identifiers": [], | "identifiers": [], | ||
| Line 298: | Line 297: | ||
"published": null, | "published": null, | ||
"updated": "2024-02-15T17:10:12Z" | "updated": "2024-02-15T17:10:12Z" | ||
} | } | ||
} | } | ||
Latest revision as of 22:35, 10 September 2024
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"identifiers": [],
"creators": [
{
"name": "William H Asquith",
"nameType": "Personal",
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{
"name": "Courtney D Killian",
"nameType": "Personal",
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"titles": [
{
"title": "covMRVAgen1, Source code for construction of covariates bound to monthly groundwater levels for purposes of statistical modeling of water levels in the Mississippi River Valley alluvial aquifer"
}
],
"publisher": "U.S. Geological Survey",
"container": {},
"publicationYear": 2022,
"subjects": [
{
"subject": ""
},
{
"subject": "groundwater"
},
{
"subject": "missouri"
},
{
"subject": "water resources"
},
{
"subject": "streamflow"
},
{
"subject": "mississippi"
},
{
"subject": "water levels"
},
{
"subject": "mississippi river valley alluvial aquifer"
},
{
"subject": "mississippi alluvial plain"
},
{
"subject": "louisiana"
},
{
"subject": "arkansas"
},
{
"subject": "mrva"
},
{
"subject": "national hydrogeologic grid"
},
{
"subject": "multiorder hydrologic position"
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{
"subject": "mohp"
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{
"subject": "daymet"
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{
"subject": "climate index"
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"dates": [
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"date": "2022",
"dateType": "Issued"
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"description": "The covMRVAgen1 repository contains R (primarily), Mermaid, Perl, and Python language source code that can be used the construction of input tables of monthly groundwater levels (response variable) and predictor variables (covariates) for statistical modeling of water levels in the Mississippi River Valley alluvial aquifer within the Mississippi Alluvial Plain, south-central United States. The source code is expansive and the repository is deep so as to form logical organization units for workflow intended for practitioner-led, script-by-script operation. The organization is such that the greater workflow is designed to run-out-of-the box so that interested readers can readily evaluate and otherwise test the veracity of the algorithms herein. The repository creates output data structures suitable for statistical investigation and predictive modeling, which are outside the scope of the repository.",
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"created": "2022-05-02T22:42:52Z",
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