Item talk:Q54803: Difference between revisions

From geokb
(Updated item talk page content)
No edit summary
Line 1: Line 1:
orcid:
ORCiD:
   meta:
   meta:
     status_code: 200
     status_code: 200
Line 630: Line 630:
         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/robert-j-welk
  '@type': Person
    timestamp: '2024-01-31T04:04:38.322738'
   affiliation: []
    status_code: 200
  description:
   profile:
  - '@type': TextObject
    name: Robert J Welk
     abstract: Hydrologic Technician with the New York Water Science Center
    name_qualifier: null
    additionalType: short description
     titles:
  - '@type': TextObject
    - Hydrologic Technician
     abstract: Rob is a Hydrologic Technician for the New York Water Science Center
    organizations:
      in the Coram Office.
    - !!python/tuple
     additionalType: staff profile page introductory statement
      - New York Water Science Center
  - '@type': TextObject
      - https://www.usgs.gov/centers/new-york-water-science-center
     abstract: Rob has been working for the USGS since 2015 and has performed a wide
    email: rwelk@usgs.gov
      variety of job duties including maintenance of real-time continuous tide monitoring
    orcid: 0000-0003-0852-5584
      stations in Long Island embayments, collection of discrete water quality samples,
     intro_statements:
      and geospatial analysis of datasets. More recently Rob has moved toward a project
    - Rob is a Hydrologic Technician for the New York Water Science Center in the
      support role within the NYWSC, providing statistical analysis, visualizations,
      Coram Office.
      and machine learning to facilitate project workflows in a reproducible manner.
     expertise_terms:
      Rob frequently authors and reviews Data Release products and is proficient at
    - Data Science
      creating detailed, accurate, and complete metadata records.
     - GIS
     additionalType: personal statement
    - Machine Learning
  email: rwelk@usgs.gov
    - Data analysis
  hasCredential:
     professional_experience:
  - '@type': EducationalOccupationalCredential
    - USGS a Hydrologic Technician 2015-present.
     name: 'M.S. Data Science and Analytics: CUNY School of Professional Studies, 2022'
    education:
  - '@type': EducationalOccupationalCredential
     - 'M.S. Data Science and Analytics: CUNY School of Professional Studies, 2022'
     name: 'B.E. Earth Science and Environmental Engineering: City College of New York,
     - 'B.E. Earth Science and Environmental Engineering: City College of New York,
       2016'
       2016'
     affiliations: []
  hasOccupation:
     honors: []
  - '@type': OrganizationalRole
     abstracts: []
     affiliatedOrganization:
     personal_statement: Rob has been working for the USGS since 2015 and has performed
      '@type': Organization
      a wide variety of job duties including maintenance of real-time continuous tide
      name: New York Water Science Center
      monitoring stations in Long Island embayments, collection of discrete water
      url: https://www.usgs.gov/centers/new-york-water-science-center
      quality samples, and geospatial analysis of datasets. More recently Rob has
     roleName: Hydrologic Technician
       moved toward a project support role within the NYWSC, providing statistical
    startDate: '2024-05-12T15:56:09.236776'
       analysis, visualizations, and machine learning to facilitate project workflows
  - '@type': Occupation
      in a reproducible manner. Rob frequently authors and reviews Data Release products
     additionalType: self-claimed professional experience
      and is proficient at creating detailed, accurate, and complete metadata records.
     name: USGS a Hydrologic Technician 2015-present.
  identifier:
  - '@type': PropertyValue
    propertyID: GeoKB
    value: https://geokb.wikibase.cloud/entity/Q54803
  - '@type': PropertyValue
    propertyID: ORCID
    value: 0000-0003-0852-5584
  jobTitle: Hydrologic Technician
  knowsAbout:
  - '@type': Thing
    additionalType: self-claimed expertise
    name: Data Science
  - '@type': Thing
    additionalType: self-claimed expertise
    name: GIS
  - '@type': Thing
    additionalType: self-claimed expertise
    name: Machine Learning
  - '@type': Thing
    additionalType: self-claimed expertise
    name: Data analysis
  memberOf:
    '@type': OrganizationalRole
    member:
       '@type': Organization
       name: U.S. Geological Survey
    name: staff member
    startDate: '2024-05-12T15:56:09.234038'
  name: Robert J Welk
  url: https://www.usgs.gov/staff-profiles/robert-j-welk

Revision as of 17:14, 12 May 2024

ORCiD:

 meta:
   status_code: 200
   timestamp: '2023-10-20T09:12:24.754239'
   url: https://orcid.org/0000-0003-0852-5584
 orcid:
   activities:
     works:
       group:
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20215141
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20215141
             external-id-value: 10.3133/sir20215141
         last-modified-date:
           value: 1654622515058
         work-summary:
         - created-date:
             value: 1651423323485
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20215141
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20215141
               external-id-value: 10.3133/sir20215141
           journal-title: null
           last-modified-date:
             value: 1654622515058
           path: /0000-0003-0852-5584/work/112341645
           publication-date:
             day: null
             month: null
             year:
               value: '2022'
           put-code: 112341645
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify contamination sources
                 in Port Jefferson Harbor, Setauket Harbor, and Conscience Bay on
                 Long Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20215141
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20225057
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20225057
             external-id-value: 10.3133/sir20225057
         last-modified-date:
           value: 1664286747757
         work-summary:
         - created-date:
             value: 1656005167345
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20225057
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20225057
               external-id-value: 10.3133/sir20225057
           journal-title: null
           last-modified-date:
             value: 1664286747757
           path: /0000-0003-0852-5584/work/114877425
           publication-date:
             day: null
             month: null
             year:
               value: '2022'
           put-code: 114877425
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify fecal contamination
                 sources in Great South Bay on Long Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20225057
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20225038
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20225038
             external-id-value: 10.3133/sir20225038
         last-modified-date:
           value: 1664288602257
         work-summary:
         - created-date:
             value: 1651423324349
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20225038
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20225038
               external-id-value: 10.3133/sir20225038
           journal-title: null
           last-modified-date:
             value: 1664288602257
           path: /0000-0003-0852-5584/work/112341648
           publication-date:
             day: null
             month: null
             year:
               value: '2022'
           put-code: 112341648
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify fecal contamination
                 sources in Lake Montauk on Long Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20225038
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20225007
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20225007
             external-id-value: 10.3133/sir20225007
         last-modified-date:
           value: 1654622515063
         work-summary:
         - created-date:
             value: 1651423323822
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20225007
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20225007
               external-id-value: 10.3133/sir20225007
           journal-title: null
           last-modified-date:
             value: 1654622515063
           path: /0000-0003-0852-5584/work/112341646
           publication-date:
             day: null
             month: null
             year:
               value: '2022'
           put-code: 112341646
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify fecal contamination
                 sources in Patchogue and Bellport Bays on Long Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20225007
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20225028
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20225028
             external-id-value: 10.3133/sir20225028
         last-modified-date:
           value: 1654622515069
         work-summary:
         - created-date:
             value: 1651423324080
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20225028
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20225028
               external-id-value: 10.3133/sir20225028
           journal-title: null
           last-modified-date:
             value: 1654622515069
           path: /0000-0003-0852-5584/work/112341647
           publication-date:
             day: null
             month: null
             year:
               value: '2022'
           put-code: 112341647
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify fecal contamination
                 sources in Sag Harbor on Long Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20225028
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20225082
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20225082
             external-id-value: 10.3133/sir20225082
         last-modified-date:
           value: 1664286747949
         work-summary:
         - created-date:
             value: 1660243209508
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20225082
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20225082
               external-id-value: 10.3133/sir20225082
           journal-title: null
           last-modified-date:
             value: 1664286747949
           path: /0000-0003-0852-5584/work/117125007
           publication-date:
             day: null
             month: null
             year:
               value: '2022'
           put-code: 117125007
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify fecal contamination
                 sources in South Oyster Bay on Long Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20225082
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20215057
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20215057
             external-id-value: 10.3133/sir20215057
         last-modified-date:
           value: 1654622515046
         work-summary:
         - created-date:
             value: 1651423322949
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20215057
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20215057
               external-id-value: 10.3133/sir20215057
           journal-title: null
           last-modified-date:
             value: 1654622515046
           path: /0000-0003-0852-5584/work/112341643
           publication-date:
             day: null
             month: null
             year:
               value: '2021'
           put-code: 112341643
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: "Bathymetry of New York City\u2019s East of Hudson reservoirs\
                 \ and controlled lakes, 2017 to 2019"
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20215057
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20215033
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20215033
             external-id-value: 10.3133/sir20215033
         last-modified-date:
           value: 1662039438315
         work-summary:
         - created-date:
             value: 1651423322617
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20215033
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20215033
               external-id-value: 10.3133/sir20215033
           journal-title: null
           last-modified-date:
             value: 1662039438315
           path: /0000-0003-0852-5584/work/112341642
           publication-date:
             day: null
             month: null
             year:
               value: '2021'
           put-code: 112341642
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Overview and methodology for a study to identify fecal contamination
                 sources using microbial source tracking in seven embayments on Long
                 Island, New York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20215033
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/sir20215042
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/sir20215042
             external-id-value: 10.3133/sir20215042
         last-modified-date:
           value: 1654622515052
         work-summary:
         - created-date:
             value: 1651423323237
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/sir20215042
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/sir20215042
               external-id-value: 10.3133/sir20215042
           journal-title: null
           last-modified-date:
             value: 1654622515052
           path: /0000-0003-0852-5584/work/112341644
           publication-date:
             day: null
             month: null
             year:
               value: '2021'
           put-code: 112341644
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Using microbial source tracking to identify fecal contamination
                 sources in an embayment in Hempstead Harbor on Long Island, New
                 York
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/sir20215042
           visibility: public
       - external-ids:
           external-id:
           - external-id-normalized:
               transient: true
               value: 10.3133/ofr20171161
             external-id-normalized-error: null
             external-id-relationship: self
             external-id-type: doi
             external-id-url:
               value: https://doi.org/10.3133/ofr20171161
             external-id-value: 10.3133/ofr20171161
         last-modified-date:
           value: 1654622515034
         work-summary:
         - created-date:
             value: 1651423322280
           display-index: '0'
           external-ids:
             external-id:
             - external-id-normalized:
                 transient: true
                 value: 10.3133/ofr20171161
               external-id-normalized-error: null
               external-id-relationship: self
               external-id-type: doi
               external-id-url:
                 value: https://doi.org/10.3133/ofr20171161
               external-id-value: 10.3133/ofr20171161
           journal-title: null
           last-modified-date:
             value: 1654622515034
           path: /0000-0003-0852-5584/work/112341641
           publication-date:
             day: null
             month: null
             year:
               value: '2018'
           put-code: 112341641
           source:
             assertion-origin-client-id: null
             assertion-origin-name: null
             assertion-origin-orcid: null
             source-client-id:
               host: orcid.org
               path: 0000-0001-9884-1913
               uri: https://orcid.org/client/0000-0001-9884-1913
             source-name:
               value: Crossref
             source-orcid: null
           title:
             subtitle: null
             title:
               value: Long Island South Shore Estuary Reserve Coordinated Water Resources
                 Monitoring Strategy
             translated-title: null
           type: report
           url:
             value: https://doi.org/10.3133/ofr20171161
           visibility: public
       last-modified-date:
         value: 1664288602257
       path: /0000-0003-0852-5584/works
   history:
     claimed: true
     completion-date: null
     creation-method: DIRECT
     deactivation-date: null
     last-modified-date:
       value: 1664288602049
     source: null
     submission-date:
       value: 1483720587729
     verified-email: true
     verified-primary-email: true
   person:
     name:
       created-date:
         value: 1483720587962
       credit-name: null
       family-name:
         value: welk
       given-names:
         value: robert
       last-modified-date:
         value: 1483720587962
       path: 0000-0003-0852-5584
       source: null
       visibility: public

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Hydrologic Technician with the New York Water Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: Rob is a Hydrologic Technician for the New York Water Science Center
     in the Coram Office.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: Rob has been working for the USGS since 2015 and has performed a wide
     variety of job duties including maintenance of real-time continuous tide monitoring
     stations in Long Island embayments, collection of discrete water quality samples,
     and geospatial analysis of datasets. More recently Rob has moved toward a project
     support role within the NYWSC, providing statistical analysis, visualizations,
     and machine learning to facilitate project workflows in a reproducible manner.
     Rob frequently authors and reviews Data Release products and is proficient at
     creating detailed, accurate, and complete metadata records.
   additionalType: personal statement
 email: rwelk@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: 'M.S. Data Science and Analytics: CUNY School of Professional Studies, 2022'
 - '@type': EducationalOccupationalCredential
   name: 'B.E. Earth Science and Environmental Engineering: City College of New York,
     2016'
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: New York Water Science Center
     url: https://www.usgs.gov/centers/new-york-water-science-center
   roleName: Hydrologic Technician
   startDate: '2024-05-12T15:56:09.236776'
 - '@type': Occupation
   additionalType: self-claimed professional experience
   name: USGS a Hydrologic Technician 2015-present.
 identifier:
 - '@type': PropertyValue
   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q54803
 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0003-0852-5584
 jobTitle: Hydrologic Technician
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Data Science
 - '@type': Thing
   additionalType: self-claimed expertise
   name: GIS
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Machine Learning
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Data analysis
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:56:09.234038'
 name: Robert J Welk
 url: https://www.usgs.gov/staff-profiles/robert-j-welk