Item talk:Q159951

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Revision as of 15:07, 23 May 2024 by Sky (talk | contribs)

ORCID:

 '@context': http://schema.org
 '@id': https://orcid.org/0000-0002-1460-6084
 '@reverse':
   creator:
   - '@id': https://doi.org/10.5066/p9rjf8c8
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5066/p9rjf8c8
     name: Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization
       of the USGS Federal Priority Streamgage Network
   - '@id': https://doi.org/10.5066/p9bry5cc
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5066/p9bry5cc
     name: Possible Cattle Access Points on Select Streams within the Smith Creek
       Watershed Derived from 2018 NAIP Imagery
   - '@id': https://doi.org/10.5066/p9yfwcn4
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5066/p9yfwcn4
     name: Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints
       within Stony Clove Creek, Catskills, NY from 2017 to 2020
   - '@id': https://doi.org/10.5066/p9cbdi3z
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5066/p9cbdi3z
     name: Possible Cattle Access Points on Steams within the USGS Showcase Watersheds
       Derived from 2018 and 2019 NAIP Imagery
   - '@id': https://doi.org/10.5066/p970eq7d
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5066/p970eq7d
     name: Low-altitude aerial imagery from unmanned aerial systems (UAS) at select
       locations over the Potomac River, October 2019
   - '@id': https://doi.org/10.5066/f7765d7v
     '@type': CreativeWork
     identifier:
       '@type': PropertyValue
       propertyID: doi
       value: 10.5066/f7765d7v
     name: Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified
       Network Routed Upstream Watersheds for the Conterminous United States
 '@type': Person
 affiliation:
   '@id': https://doi.org/10.13039/100000201
   '@type': Organization
   name: 'U.S. Geological Survey '
 alumniOf:
 - '@type': Organization
   identifier:
     '@type': PropertyValue
     propertyID: RINGGOLD
     value: '12265'
   name: University of Maryland Baltimore
 - '@id': grid.420771.7
   '@type': Organization
   name: Howard Community College
 familyName: Staub
 givenName: Leah
 mainEntityOfPage: https://orcid.org/0000-0002-1460-6084

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Hydrologic Field Assistant with the Maryland-Delaware-D.C. Water Science
     Center
   additionalType: short description
 - '@type': TextObject
   abstract: 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.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: '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
     locations over the Potomac River, October 2019: U.S. Geological Survey data
     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