Lilac and honeysuckle phenology data 1956-2014

Alyssa H. Rosemartin, Ellen G. Denny, Jake F. Weltzin, R. Lee Marsh, Bruce E. Wilson, Hamed Mehdipoor, Raul Zurita-Milla, Mark D. Schwartz

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The dataset is comprised of leafing and flowering data collected across the continental United States from 1956 to 2014 for purple common lilac (Syringa vulgaris), a cloned lilac cultivar (S. x chinensis 'Red Rothomagensis') and two cloned honeysuckle cultivars (Lonicera tatarica 'Arnold Red' and L. korolkowii 'Zabeli'). Applications of this observational dataset range from detecting regional weather patterns to understanding the impacts of global climate change on the onset of spring at the national scale. While minor changes in methods have occurred over time, and some documentation is lacking, outlier analyses identified fewer than 3% of records as unusually early or late. Lilac and honeysuckle phenology data have proven robust in both model development and climatic research.

Original languageEnglish (US)
Article number150038
JournalScientific Data
Volume2
DOIs
StatePublished - Jul 21 2015

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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