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Aggregated occurrence records of the federally endangered Poweshiek skipperling (Oarisma poweshiek).

Michael W BelitzLillian K HendrickMichael J MonfilsDavid L CuthrellChristopher J MarshallAkito Y KawaharaNeil S CobbJennifer M ZaspelAndrew M HortonStacey L HuberAndrew D WarrenGrace A ForthausAnna K Monfils
Published in: Biodiversity data journal (2018)
This is a validated and comprehensive dataset of occurrence records for the Poweshiek skipperling (Oarisma poweshiek) utilising both observation and specimen-based records. Occurrence data are preserved and available for continued research and conservation projects using standardised Darwin Core formatting where possible. Prior to this project, much of these occurrence records were not mobilised and were being stored in individual institutional databases, researcher datasets and personal records. This dataset aggregates presence data from state conservation agencies, natural heritage programmes, natural history collections, citizen scientists, researchers and the U.S. Fish & Wildlife Service. The data include opportunistic observations and collections, research vouchers, observations collected for population monitoring and observations collected using standardised research methodologies. The aggregated occurrence records underwent cleaning efforts that improved data interoperablitity, removed transcription errors and verified or removed uncertain data. This dataset enhances available information on the spatiotemporal distribution of this Federally Endangered species. As part of this aggregation process, we discovered and verified Poweshiek skipperling occurrence records from two previously unknown states, Nebraska and Ohio.
Keyphrases
  • risk assessment
  • electronic health record
  • big data
  • quality improvement
  • emergency department
  • mental health
  • transcription factor
  • machine learning
  • artificial intelligence
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