Item talk:Q159951: Difference between revisions

no edit summary
(Updated item talk page content)
No edit summary
Line 1: Line 1:
orcid:
ORCiD:
   meta:
   meta:
     status_code: 200
     status_code: 200
Line 584: Line 584:
         source: null
         source: null
         visibility: public
         visibility: public
usgs_staff_profile:
USGS Staff Profile:
   meta:
   '@context': https://schema.org
    url: https://www.usgs.gov/staff-profiles/leah-e-staub
  '@type': Person
    timestamp: '2024-01-30T22:11:04.335505'
   affiliation: []
    status_code: 200
  description:
   profile:
  - '@type': TextObject
    name: Leah E. Staub
     abstract: Hydrologic Field Assistant with the Maryland-Delaware-D.C. Water Science
    name_qualifier: null
       Center
     titles:
     additionalType: short description
    - Hydrologic Field Assistant
  - '@type': TextObject
    organizations:
     abstract: Leah primarily works in the MD-DE-DC Water Science Center's Sediment
    - !!python/tuple
      Lab, processing both Fluvial and Source samples for Sediment Fingerprinting
      - Maryland-Delaware-D.C. Water Science Center
      analysis. She has also surveyed stream cross sections with total station, provided
       - https://www.usgs.gov/centers/md-de-dc-water
      map products using R, ArcMap, QGIS, and GEE, and assisted with Science Base
     email: lstaub@usgs.gov
      data releases.
    orcid: 0000-0002-1460-6084
     additionalType: staff profile page introductory statement
     intro_statements:
  - '@type': TextObject
    - Leah primarily works in the MD-DE-DC Water Science Center's Sediment Lab, processing
     abstract: 'EducationB.S. in Geography & Environmental Science from University
      both Fluvial and Source samples for Sediment Fingerprinting analysis. She has
      also surveyed stream cross sections with total station, provided map products
      using R, ArcMap, QGIS, and GEE, and assisted with Science Base data releases.
     expertise_terms:
    - Sediment Fingerprinting
    - ArcMap
    - remote sensing
    - ArcPro
    - QGIS
    - R
    - GEE
    professional_experience: []
    education: []
    affiliations: []
    honors: []
    abstracts: []
     personal_statement: 'EducationB.S. in Geography & Environmental Science from University
       of Maryland, Baltimore County, 2020GIScience Certification from University of
       of Maryland, Baltimore County, 2020GIScience Certification from University of
       Maryland, Baltimore County, 2020PublicationsCashman, M.J., Brosnahan, S.M.,
       Maryland, Baltimore County, 2020PublicationsCashman, M.J., Brosnahan, S.M.,
Line 625: Line 608:
       locations over the Potomac River, October 2019: U.S. Geological Survey data
       locations over the Potomac River, October 2019: U.S. Geological Survey data
       release, https://doi.org/10.5066/Q7DP970E.Honors & AwardsUSGS STAR Award 2020'
       release, https://doi.org/10.5066/Q7DP970E.Honors & AwardsUSGS STAR Award 2020'
    additionalType: personal statement
  email: lstaub@usgs.gov
  hasCredential: []
  hasOccupation:
  - '@type': OrganizationalRole
    affiliatedOrganization:
      '@type': Organization
      name: Maryland-Delaware-D.C. Water Science Center
      url: https://www.usgs.gov/centers/md-de-dc-water
    roleName: Hydrologic Field Assistant
    startDate: '2024-05-12T15:17:29.542609'
  identifier:
  - '@type': PropertyValue
    propertyID: GeoKB
    value: https://geokb.wikibase.cloud/entity/Q159951
  - '@type': PropertyValue
    propertyID: ORCID
    value: 0000-0002-1460-6084
  jobTitle: Hydrologic Field Assistant
  knowsAbout:
  - '@type': Thing
    additionalType: self-claimed expertise
    name: Sediment Fingerprinting
  - '@type': Thing
    additionalType: self-claimed expertise
    name: ArcMap
  - '@type': Thing
    additionalType: self-claimed expertise
    name: remote sensing
  - '@type': Thing
    additionalType: self-claimed expertise
    name: ArcPro
  - '@type': Thing
    additionalType: self-claimed expertise
    name: QGIS
  - '@type': Thing
    additionalType: self-claimed expertise
    name: R
  - '@type': Thing
    additionalType: self-claimed expertise
    name: GEE
  memberOf:
    '@type': OrganizationalRole
    member:
      '@type': Organization
      name: U.S. Geological Survey
    name: staff member
    startDate: '2024-05-12T15:17:29.540072'
  name: Leah E. Staub
  url: https://www.usgs.gov/staff-profiles/leah-e-staub