Item talk:Q159951: Difference between revisions

From geokb
(Updated person data cache with ORCID information)
(Updated item talk page content)
Line 586: Line 586:
usgs_staff_profile:
usgs_staff_profile:
   meta:
   meta:
    url: https://www.usgs.gov/staff-profiles/leah-e-staub
    timestamp: '2024-01-30T22:11:04.335505'
     status_code: 200
     status_code: 200
    timestamp: '2023-10-02T16:16:24.278023'
    url: https://www.usgs.gov/staff-profiles/leah-e-staub
   profile:
   profile:
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     name: Leah E. Staub
     affiliations: []
     name_qualifier: null
     education: []
     titles:
    - Hydrologic Field Assistant
    organizations:
    - !!python/tuple
      - Maryland-Delaware-D.C. Water Science Center
      - https://www.usgs.gov/centers/md-de-dc-water
     email: lstaub@usgs.gov
     email: lstaub@usgs.gov
    orcid: 0000-0002-1460-6084
    intro_statements:
    - Leah primarily works in the MD-DE-DC Water Science Center's Sediment Lab, processing
      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:
     expertise_terms:
     - Sediment Fingerprinting
     - Sediment Fingerprinting
Line 602: Line 613:
     - R
     - R
     - GEE
     - GEE
    professional_experience: []
    education: []
    affiliations: []
     honors: []
     honors: []
     intro_statements:
     abstracts: []
    - Leah primarily works in the MD-DE-DC Water Science Center's Sediment Lab, processing
      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.
    name: Leah E. Staub
    name_qualifier: null
    orcid: 0000-0002-1460-6084
    organization_link: https://www.usgs.gov/centers/md-de-dc-water
    organization_name: Maryland-Delaware-D.C. Water Science Center
     personal_statement: 'EducationB.S. in Geography & Environmental Science from University
     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
Line 620: Line 625:
       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'
    professional_experience: []
    title: Hydrologic Field Assistant

Revision as of 05:11, 31 January 2024

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usgs_staff_profile:

 meta:
   url: https://www.usgs.gov/staff-profiles/leah-e-staub
   timestamp: '2024-01-30T22:11:04.335505'
   status_code: 200
 profile:
   name: Leah E. Staub
   name_qualifier: null
   titles:
   - Hydrologic Field Assistant
   organizations:
   - !!python/tuple
     - Maryland-Delaware-D.C. Water Science Center
     - https://www.usgs.gov/centers/md-de-dc-water
   email: lstaub@usgs.gov
   orcid: 0000-0002-1460-6084
   intro_statements:
   - Leah primarily works in the MD-DE-DC Water Science Center's Sediment Lab, processing
     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
     Maryland, Baltimore County, 2020PublicationsCashman, M.J., Brosnahan, S.M.,
     Caldwell, S.H.,Staub, L.E., DeWitt, J., Young, J., Duda, J., and Griese, A.J.,
     2020, Low-altitude aerial imagery from unmanned aerial systems (UAS) at select
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     release, https://doi.org/10.5066/Q7DP970E.Honors & AwardsUSGS STAR Award 2020'