Item talk:Q49493

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ORCID:

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 '@id': https://orcid.org/0000-0002-1818-355X
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     name: Machine Learning Predictions of pH in the Glacial Aquifer System, Northern
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     name: Depth of groundwater used for drinking-water supplies in the United States
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     name: Groundwater-quality and select quality-control data from the National
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     name: National Water-Quality Assessment (NAWQA) Program, Long Island-New Jersey
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 '@type': Person
 affiliation:
   '@id': https://doi.org/10.13039/100000201
   '@type': Organization
   alternateName: U.S. Department of the Interior
   name: U.S. Geological Survey
 familyName: Stackelberg
 givenName: Paul
 mainEntityOfPage: https://orcid.org/0000-0002-1818-355X

OpenAlex:

 created_date: '2023-07-21'
 display_name: Paul E. Stackelberg
 display_name_alternatives:
 - P. E. Stackelberg
 - Paul Stackelberg
 - Paul E. Stackelberg
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 updated_date: '2024-05-16T10:38:25.017026'

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Hydrologist with the Water Resources Mission Area
   additionalType: short description
 - '@type': TextObject
   abstract: Paul Stackelberg is a Hydrologist with the Water Resources Mission Area.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: 'Paul Stackelberg has worked as a hydrologist with the U.S. Geological
     Survey (USGS) since 1988. His research interests have included (1) evaluating
     natural and anthropogenic factors that affect groundwater quality, (2) developing
     statistical models for predicting the occurrence of contaminants in groundwater
     resources, and (3) determining the persistence and fate of pharmaceuticals and
     other wastewater-related compounds in conventional and advanced drinking-water-treatment
     facilities. Currently Paul is leading a team of USGS scientist who are using
     machine learning methods to predict groundwater quality conditions in three
     dimensions throughout select principal aquifers of the United States as well
     as at the depths commonly used for domestic and public supplies at the National
     scale.Education:M.S., Geology, University of Missouri - Columbia.B.S., Geology
     and Mineralology, The Ohio State University, Minor: Computer and Information
     Science.'
   additionalType: personal statement
 email: pestack@usgs.gov
 hasCredential: []
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Water Resources Mission Area
     url: https://www.usgs.gov/mission-areas/water-resources
   roleName: Hydrologist
   startDate: '2024-05-12T15:40:53.967491'
 identifier:
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   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q49493
 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0002-1818-355X
 jobTitle: Hydrologist
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: machine learning
 - '@type': Thing
   additionalType: self-claimed expertise
   name: groundwater quality
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:40:53.964906'
 name: Paul Stackelberg
 url: https://www.usgs.gov/staff-profiles/paul-stackelberg
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