Articles with public access mandates - Ethan WhiteLearn more
Available somewhere: 54
Best practices for scientific computing
G Wilson, DA Aruliah, CT Brown, NP Chue Hong, M Davis, RT Guy, ...
PLoS biology 12 (1), e1001745, 2014
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Iterative near-term ecological forecasting: Needs, opportunities, and challenges
MC Dietze, A Fox, LM Beck-Johnson, JL Betancourt, MB Hooten, ...
Proceedings of the National Academy of Sciences 115 (7), 1424-1432, 2018
Mandates: US National Science Foundation, Gordon and Betty Moore Foundation
BioTIME: A database of biodiversity time series for the Anthropocene
M Dornelas, LH Antao, F Moyes, AE Bates, AE Magurran, D Adam, ...
Global Ecology and Biogeography 27 (7), 760-786, 2018
Mandates: US National Science Foundation, US Department of Agriculture, Gordon and …
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
BG Weinstein, S Marconi, S Bohlman, A Zare, E White
Remote Sensing 11 (11), 1309, 2019
Mandates: US Department of Agriculture, Gordon and Betty Moore Foundation, German …
Cross-site learning in deep learning RGB tree crown detection
BG Weinstein, S Marconi, SA Bohlman, A Zare, EP White
Ecological Informatics 56, 101061, 2020
Mandates: US National Science Foundation, US Department of Agriculture, Gordon and …
Taking species abundance distributions beyond individuals
H Morlon, EP White, RS Etienne, JL Green, A Ostling, D Alonso, ...
Ecology Letters 12 (6), 488-501, 2009
Mandates: John D. and Catherine T. MacArthur Foundation
An extensive comparison of species-abundance distribution models
E Baldridge, DJ Harris, X Xiao, EP White
PeerJ 4, e2823, 2016
Mandates: US National Science Foundation
Skills and knowledge for data-intensive environmental research
SE Hampton, MB Jones, LA Wasser, MP Schildhauer, SR Supp, J Brun, ...
BioScience 67 (6), 546-557, 2017
Mandates: US National Science Foundation, US Department of Energy, Gordon and Betty …
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
Mandates: US National Science Foundation, Gordon and Betty Moore Foundation
A strong test of the maximum entropy theory of ecology
X Xiao, DJ McGlinn, EP White
The American Naturalist 185 (3), E70-E80, 2015
Mandates: John D. and Catherine T. MacArthur Foundation
DeepForest: A Python package for RGB deep learning tree crown delineation
BG Weinstein, S Marconi, M Aubry‐Kientz, G Vincent, H Senyondo, ...
Methods in Ecology and Evolution 11 (12), 1743-1751, 2020
Mandates: US National Science Foundation, Gordon and Betty Moore Foundation
No general relationship between mass and temperature in endothermic species
K Riemer, RP Guralnick, EP White
Elife 7, e27166, 2018
Mandates: US National Science Foundation, Gordon and Betty Moore Foundation
The prevalence and impact of transient species in ecological communities
SJ Snell Taylor, BS Evans, EP White, AH Hurlbert
Ecology 99 (8), 1825-1835, 2018
Mandates: US National Science Foundation, Gordon and Betty Moore Foundation
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh, SJ Graves, ...
Elife 10, e62922, 2021
Mandates: US National Science Foundation, US Department of Agriculture, Gordon and …
Forecasting biodiversity in breeding birds using best practices
DJ Harris, SD Taylor, EP White
PeerJ 6, e4278, 2018
Mandates: Gordon and Betty Moore Foundation
Developing a modern data workflow for regularly updated data
GM Yenni, EM Christensen, EK Bledsoe, SR Supp, RM Diaz, EP White, ...
PLoS Biology 17 (1), e3000125, 2019
Mandates: US National Science Foundation, Gordon and Betty Moore Foundation
A data science challenge for converting airborne remote sensing data into ecological information
S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ...
PeerJ 6, e5843, 2019
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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
Mandates: US National Science Foundation, US Department of Agriculture, Gordon and …
Automated data‐intensive forecasting of plant phenology throughout the United States
SD Taylor, EP White
Ecological Applications 30 (1), e02025, 2020
Mandates: Gordon and Betty Moore Foundation
Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P Brown, Y Zhou
Database 2019, baz085, 2019
Mandates: Cancer Research UK, UK Medical Research Council
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