Combining machine learning and SMILEs to classify, better understand, and project changes in ENSO events by N. Maher, N. Maher, T. P. Tabarin, S. Milinski, S. Milinski, S. Milinski

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Improving statistical projections of ocean dynamic sea-level change using pattern recognition techniques by V. Malagón-Santos, A. B. A. Slangen, T. H. J. Hermans, T. H. J. Hermans, S. Dangendorf, M. Marcos, N. Maher, N. Maher, N. Maher

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Large ensemble climate model simulations: introduction, overview, and future prospects for utilising multiple types of large ensemble by N. Maher, S. Milinski, R. Ludwig

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How large does a large ensemble need to be? by S. Milinski, N. Maher, D. Olonscheck

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Two-parton scattering in the high-energy limit: climbing two- and three-Reggeon ladders by G. Falcioni, E. Gardi, N. Maher, C. Milloy, L. Vernazza

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The future of the El Niño–Southern Oscillation: using large ensembles to illuminate time-varying responses and inter-model differences by N. Maher, N. Maher, R. C. J. Wills, R. C. J. Wills, P. DiNezio, J. Klavans, S. Milinski, S. Milinski, S. C. Sanchez, S. Stevenson, M. F. Stuecker, X. Wu

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Impact of COVID-19 on Patients with Intellectual and Developmental Disabilities and Implications for Future Practice by Krystle P. Rapisura, Michael Y. Alanes, Megan N. Maher, Sarah Y. Lu

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D1 dopamine receptor signaling is modulated by the R7 RGS protein EAT-16 and the R7 binding protein RSBP-1 in Caenoerhabditis elegans motor neurons. by Khursheed A Wani, Mary Catanese, Robyn Normantowicz, Muriel Herd, Kathryn N Maher, Daniel L Chase

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Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6 by F. Lehner, F. Lehner, C. Deser, N. Maher, J. Marotzke, E. M. Fischer, L. Brunner, R. Knutti, E. Hawkins

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