Item talk:Q48529

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Revision as of 17:21, 20 October 2023 by Sky (talk | contribs) (Updated person data cache with ORCID information)

orcid:

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   status_code: 200
   timestamp: '2023-10-20T09:24:53.364062'
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                 country: US
                 region: IN
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               source-name:
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           title:
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             title:
               value: Evaluating the Migration Mortality Hypothesis Using Monarch
                 Tagging Data
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               value: Balancing sampling intensity against spatial coverage for a
                 community science monitoring programme
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                 With Sun Angle?
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usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T16:53:57.643594'
   url: https://www.usgs.gov/staff-profiles/samuel-d-pecoraro
 profile:
   abstracts:
   - Pecoraro, S.D., Arnold, A.J., Geisz, J., and Esselman, P.C. (2022) High-Resolution
     Mapping of Spawning Reefs to Support Conservation in Northern Lake Michigan.
   affiliations: []
   education:
   - M.S. 2014, Ecology, University of Notre Dame
   - B.S.  2010, Environmental Science, University of Notre Dame
   email: specoraro@usgs.gov
   expertise_terms:
   - Spatial Data Analysis
   - Data Visualization
   - Remote Sensing
   - GIS
   - Data Carpentry
   - Acoustics and SONAR
   honors:
   - James W. Moffett Award for the best scientific publication authored by personnel
     of the Great Lakes Science Center (2020).
   intro_statements:
   - "Samuel Pecoraro is an Ecologist at the USGS Great Lakes Science Center\u2019\
     s (GLSC) Lake Michigan Ecological Research Station, located within the Indiana\
     \ Dunes National Park."
   name: Samuel D Pecoraro
   name_qualifier: null
   orcid: 0000-0002-3435-649X
   organization_link: https://www.usgs.gov/centers/great-lakes-science-center
   organization_name: Great Lakes Science Center
   personal_statement: "Sam has worked with USGS since 2016, on landscape ecology\
     \ and spatial data analyses at scales ranging from metapopulation to continental.\
     \  He has experience with acoustic technology first to model Great Lakes substrates\
     \ by repurposing the GLSC\u2019s historic fishery sonar data, and more recently\
     \ to survey and model fish spawning habitat with multibeam data.  Sam has worked\
     \ on mapping the federally threatened Pitcher\u2019s thistle (Cirsium pitcheri),\
     \ which is endemic to The Great Lakes. While with USGS, he has been able to\
     \ study the migration of the iconic monarch butterfly (Danaus plexippus) in\
     \ collaboration with partners. Sam is interested in the ways technology can\
     \ help solve the great ecological challenges; he has been involved in the development\
     \ of the GLSC\u2019s computer vision program, which was created to help meet\
     \ objectives laid out by the Great Lakes Water Quality Agreement and Lakebed\
     \ 2030."
   professional_experience:
   - "(2016 \u2013 present) Ecologist, USGS Great Lakes Science Center"
   - "(2014 \u2013 2015)     Visiting Scholar, Boston University"
   - "(2011 \u2013 2012)     Project Manager, PaleoEcological Observatory Network"
   title: Ecologist