Author

L. Brenskelle

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Ecology· 1 Paleontology· 1 Zoology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:plant (other)· 1 Approach:statistical model· 1

Frequent Co-Authors

N. Barve· 2 shared R. Guralnick· 2 shared A. H. Arino· 1 shared B. McLean· 1 shared B. Stucky· 1 shared D. Li· 1 shared D. Paluh· 1 shared E. Davis· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

N. Barve

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A community-developed extension to Darwin Core for reporting the chronometric age of specimens

L. Brenskelle, J. Wieczorek, E. Davis, K. Emery, N. J. Wallis, M. J. LeFebvre, R. Guralnick

The paper introduces a new Darwin Core extension to standardize reporting of specimen ages from deep time and the evidence supporting these estimates.

bioRxiv · Nov 24, 2021Paleontology

Methods for broad-scale plant phenology assessments using citizen scientists’ photographs

V. Barve, L. Brenskelle, D. Li, B. Stucky, N. Barve, M. Hantak, B. McLean, D. Paluh, J. Oswald, M. Belitz, R. A. Folk, R. P. Guralnick

The paper develops best practices for using iNaturalist citizen science data to assess plant flowering phenology, demonstrating its utility for studying unusual flowering events and integrating data into a global knowledge store.

bioRxiv · Sep 1, 2019Ecology

Research applications of primary biodiversity databases in the digital age

J. Ball-Damerow, L. Brenskelle, N. Barve, P. S. Soltis, P. Sierwald, R. Bieler, R. LaFrance, A. H. Arino, R. Guralnick

This study analyzes the use of biodiversity databases since 2010, finding common applications and highlighting gaps in data quality and integration.

bioRxiv · Apr 10, 2019Zoology