| Developing an automated iterative near‐term forecasting system for an ecological study EP White, GM Yenni, SD Taylor, EM Christensen, EK Bledsoe, JL Simonis, ... Methods in Ecology and Evolution 10 (3), 332-344, 2019 | 76 | 2019 |
| Forecasting biodiversity in breeding birds using best practices DJ Harris, SD Taylor, EP White PeerJ 6, e4278, 2018 | 58 | 2018 |
| Comparison of large‐scale citizen science data and long‐term study data for phenology modeling SD Taylor, JM Meiners, K Riemer, MC Orr, EP White Ecology 100 (2), e02568, 2019 | 40 | 2019 |
| Automated data‐intensive forecasting of plant phenology throughout the United States SD Taylor, EP White Ecological Applications 30 (1), e02025, 2020 | 39 | 2020 |
| Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework DM Browning, ES Russell, GE Ponce-Campos, N Kaplan, AD Richardson, ... Ecological Indicators 131, 108147, 2021 | 27 | 2021 |
| A Global, Cross-System Meta-Analysis of Polychlorinated Biphenyl Biomagnification KD Prince, SD Taylor, C Angelini Environmental Science & Technology 54 (18), 10989-11001, 2020 | 25 | 2020 |
| The Portal Project: a long-term study of a Chihuahuan desert ecosystem SKM Ernest, GM Yenni, G Allington, E Bledsoe, E Christensen, R Diaz, ... BioRxiv, 332783, 2020 | 20 | 2020 |
| Classification of Daily Crop Phenology in PhenoCams Using Deep Learning and Hidden Markov Models SD Taylor, DM Browning Remote Sensing 14 (2), 286, 2022 | 15 | 2022 |
| Constraints and Opportunities for Detecting Land Surface Phenology in Drylands SD Taylor, DM Browning, RA Baca, F Gao Journal of Remote Sensing 2021, 2021 | 15 | 2021 |
| Estimating flowering transition dates from status-based phenological observations: a test of methods SD Taylor PeerJ 7, e7720, 2019 | 15 | 2019 |
| Rethinking global carbon storage potential of trees. A comment on Bastin et al.(2019) SD Taylor, S Marconi Annals of Forest Science 77 (2), 1-7, 2020 | 10 | 2020 |
| Opportunistically collected photographs can be used to estimate large-scale phenological trends SD Taylor, RP Guralnick bioRxiv, 794396, 2019 | 7 | 2019 |
| pyPhenology: A python framework for plant phenology modelling S David Taylor The Journal of Open Source Software 3, 827, 2018 | 7 | 2018 |
| portalr: an R package for summarizing and using the Portal Project Data E Christensen, G Yenni, H Ye, J Simonis, E Bledsoe, R Diaz, S Taylor, ... Journal of Open Source Software 4 (33), 1098, 2019 | 5 | 2019 |
| Rdataretriever: R Interface to the Data Retriever H Senyondo, DJ McGlinn, P Sharma, DJ Harris, H Ye, SD Taylor, J Ooms, ... Journal of Open Source Software 6 (57), 2800, 2021 | 3 | 2021 |
| NEON NIST data science evaluation challenge: Methods and results of team Shawn S Taylor PeerJ Preprints 6, e26967v1, 2018 | 3 | 2018 |
| Influence of climate forecasts, data assimilation, and uncertainty propagation on the performance of near-term phenology forecasts SD Taylor, EP White bioRxiv, 2020.08. 18.256057, 2020 | 2 | 2020 |
| Multi-scale assessment of a grassland productivity model SD Taylor, DM Browning Biogeosciences 18 (6), 2213-2220, 2021 | 1 | 2021 |
| portalcasting: Supporting automated forecasting of rodent populations JL Simonis, GM Yenni, EK Bledsoe, EM Christensen, H Senyondo, ... Journal of Open Source Software 7 (72), 3220, 2022 | | 2022 |
Ethan WhiteProfessor, University of FloridaVerified email at ufl.edu
