Publications & manuscripts
Peer-reviewed articles, manuscripts in progress, open-source software, and datasets.
Articles in peer-reviewed journals
Deep learning of fossil pollen morphology reveals 25,000 y of ecological change in East African grasslands. Adaimé, M.-É., Kong, S., Urban, M.A., Punyasena, S.W., Street-Perrott, A., Verschuren, D. Proceedings of the National Academy of Sciences 123: e2607372123.
Linking hierarchical assembly rules and diversity patterns of soil fungi in primary succession. Mori, A., Nishizawa, K., Uchida, M., Naka, M., Masumoto, S., Matsuoka, S., Xu, X., Adaimé, M.-É. Oikos e11817.
Initial results from a Trans-Amazon Drilling Project core from the Acre Basin of Brazil. Fritz, S.C., Sawakuchi, A.O., Noren, A., … Adaimé, M.-É., et al. Scientific Drilling, 35: 127–157.
Pollen morphology, deep learning, phylogenetics, and the evolution of environmental adaptations in Podocarpus. Adaimé, M.-É., Urban, M.A., Kong, S., Jaramillo, C., Punyasena, S.W. New Phytologist, 247: 1460–1473.
Deep learning approaches to the phylogenetic placement of extinct pollen morphotypes. Adaimé, M.-É., Kong, S., Punyasena, S.W. PNAS Nexus, 3(1): pgad419.
Postglacial palaeoenvironmental reconstruction of the Fury and Hecla Strait region (Nunavut) inferred from microfossils and geochemical proxies. Adaïmé, M.-É., Pienitz, R., Legendre, P., Antoniades, D. Journal of Quaternary Science, 37: 944–958.
Remote sensing of lake sediment core particle size using hyperspectral image analysis. Ghanbari, H., Jacques, O., Adaimé, M.-É., Gregory-Eaves, I., Antoniades, D. Remote Sensing, 12: 3850.
Manuscripts in preparation
Deep learning techniques corroborate evidence for earliest C4 grasslands in Early Miocene East Africa. Lloyd, B.A., Adaimé, M.-É., Punyasena, S.W., Gallaher, T.J., Kong, S., Strömberg, C.
Developmental lability or convergent evolution? The complex origin of fruit-like structures in conifers. Khan, R., Adaimé, M.-É., Leslie, A.B., Hill, R.S., Jordan, G.J., Dörken, V.M., Biffin, E.
Millennia of Environmental Change in the Coastal Margin of the Arctic's Last Ice Area. Adaimé, M.-É., Bouchard, F., Antoniades, D., Couture, R.-M., Fortier, D., Vincent, W.F.
Software & data releases
Computational Tools for Quantifying Poaceae Pollen Diversity and Inferring Photosynthetic Pathway (C3 or C4) from Superresolution Images (v2.0.0). Adaimé, M.-É., Kong, S., Punyasena, S.W. Zenodo.
Pollen of Podocarpus (Podocarpaceae) II: Airyscan confocal superresolution images. Punyasena, S.W., Adaimé, M.-É., Jaramillo, C. University of Illinois Urbana-Champaign.
SR-SIM superresolution structured illumination microscopy images of fossil and modern pollen of Poaceae. Punyasena, S.W., Urban, M.A., Adaimé, M.-É., Romero, I.C. University of Illinois Urbana-Champaign.
Integrating Molecular Phylogenetic Data and CNN-Derived Morphology for the Evolutionary Placement of Unknown Pollen Types (v1.0.0). Adaimé, M.-É., Kong, S., Punyasena, S.W. Zenodo.
Pollen of Podocarpus (Podocarpaceae): Airyscan confocal superresolution images. Punyasena, S.W., Urban, M.A., Adaimé, M.-É., Romero, I., Jaramillo, C. University of Illinois Urbana-Champaign.