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46 lines (46 loc) · 1.29 KB
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[
{
"name": "drb-inland-salinity-ml",
"organization": "U.S. Geological Survey",
"description": "Code repo for Delaware River Basin machine learning models that predict inland salinity.",
"version": "main",
"status": "Development",
"permissions": {
"usageType": "openSource",
"licenses": [
{
"name": "Public Domain, CC0-1.0",
"URL": "https://raw.githubusercontent.com/USGS-R/drb-inland-salinity-ml/main/LICENSE.md"
}
]
},
"homepageURL": "https://github.com/USGS-R/drb-inland-salinity-ml/",
"downloadURL": "https://github.com/USGS-R/drb-inland-salinity-ml/archive/refs/heads/main.zip",
"disclaimerURL": "https://raw.githubusercontent.com/USGS-R/drb-inland-salinity-ml/main/DISCLAIMER.md",
"repositoryURL": "https://github.com/USGS-R/drb-inland-salinity-ml.git",
"vcs": "git",
"laborHours": -1,
"tags": [
"R",
"USGS",
"usg-artificial-intelligence",
"research",
"random forest",
"explainable AI",
"specific conductivity",
"salinity",
"river"
],
"languages": [
"R",
"HTML"
],
"contact": {
"name": "Jared D. Smith",
"email": "jsmith@usgs.gov"
},
"date": {
"metadataLastUpdated": "2023-04-10"
}
}
]