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	Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications Ma, X., Zhu, X., Xie, Q., Jin, J., Zhou, Y., Luo, Y., … Zhao, Y. (2022). Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications. Global Change Biology, 28(24), 7186-7204. https://doi.org/10.1111/gcb.16436 Detailed Record Published Version
	Finding exceedance locations in a large spatial database using nonparametric regression Moser, G. E., & Ghosh, S. (2021). Finding exceedance locations in a large spatial database using nonparametric regression. Ecological Complexity, 45, 100905 (14 pp.). https://doi.org/10.1016/j.ecocom.2020.100905 Detailed Record Published Version
	sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots Sabatini, F. M., Lenoir, J., Hattab, T., Arnst, E. A., Chytrý, M., Dengler, J., … Bruelheide, H. (2021). sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots. Global Ecology and Biogeography, 30(9), 1740-1764. https://doi.org/10.1111/geb.13346 Detailed Record Published Version
	Global fern and lycophyte richness explained: how regional and local factors shape plot richness Weigand, A., Abrahamczyk, S., Aubin, I., Bita-Nicolae, C., Bruelheide, H., Carvajal-Hernández, C. I., … Kessler, M. (2020). Global fern and lycophyte richness explained: how regional and local factors shape plot richness. Journal of Biogeography, 47(1), 59-71. https://doi.org/10.1111/jbi.13782 Detailed Record Published Version Accepted Version
	A transdisciplinary approach supporting the implementation of a Big Data project in livestock production: an example from the Swiss pig production industry Faverjon, C., Bernstein, A., Grütter, R., Nathues, C., Nathues, H., Sarasua, C., … Berezowski, J. (2019). A transdisciplinary approach supporting the implementation of a Big Data project in livestock production: an example from the Swiss pig production industry. Frontiers in Veterinary Science, 6, 215 (11 pp.). https://doi.org/10.3389/fvets.2019.00215 Detailed Record Published Version