Images and annotated counts for aerial pollen samples from the Barro Colorado Island megaplot, Panama (1994 – 2010)
Citation:
Haselhorst, Derek; Moreno, J. Enrique; Tcheng, David K.; Punyasena, Surangi W. (2022): Images and annotated counts for aerial pollen samples from the Barro Colorado Island megaplot, Panama (1994 – 2010). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2176715_V1
Persistent link for this dataset:
Dataset Description

This dataset includes images and annotated counts for 150 airborne pollen samples from the Center for Tropical Forest Science 50 ha forest dynamics plot on Barro Colorado Island, Panama. Samples were collected once a year from April 1994 to June 2010.

Subject Life Sciences
Keywords aerial pollen traps; automated pollen identification; Barro Colorado Island; convolutional neural networks; Neotropics; palynology; phenology
License CC0
Funder U.S. National Science Foundation (NSF) - Grant: NSF EF-1137396
Corresponding Creator Surangi W. Punyasena
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Related Materials:
   Dataset Haselhorst, D.S.; Moreno, J.E.; Tcheng, D.K.; Punyasena, S.W. (2020): Annotated counts for aerial pollen samples from Lutz tower, Barro Colorado Island, Panama (1995 – 2005). University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-3781410_V1
   Thesis Haselhorst, D.S. (2019): Climatic, environmental, and phenological analyses of diverse lowland neotropical pollen rain data using ecoinformatic and machine learning tools. PhD Dissertation. School of Integrative Biology, Program in Ecology, Evolution, and Conservation Biology, University of Illinois at Urbana-Champaign.
   Article Punyasena, S.W., Haselhorst, D.S., Kong, S., Fowlkes, C.C. and Moreno, J.E. (2022), Automated identification of diverse Neotropical pollen samples using convolutional neural networks. Methods Ecol Evol. Accepted Author Manuscript. https://doi.org/10.1111/2041-210X.13917
   Article Haselhorst, D.S, J.E. Moreno, and S.W. Punyasena (2020): Assessing the influence of vegetation structure and phenological variability on pollen-vegetation relationships using a 15-year Neotropical pollen rain record. Journal of Vegetation Science, 31 (4), 606-615.
Version DOI Comment Publication Date
1 10.13012/B2IDB-2176715_V1 2022-05-20
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update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Life Sciences"]} 2022-06-21T16:44:56Z
update: {"publication_state"=>["metadata embargo", "released"]} 2022-05-20T08:00:16Z
update: {"release_date"=>[Tue, 31 May 2022, Fri, 20 May 2022]} 2022-05-17T18:07:33Z