@misc{HallSchmidtWaggeetal., author = {Hall, Braeden and Schmidt, Kathleen and Wagge, Jordan and Lewis, Savannah C. and Weissgerber, Sophia C. and Kiunke, Felix and Pfuhl, Gerit and Stieger, Stefan and Tran, Ulrich S. and Barzykowski, Krystian and Bogatyreva, Natalia and Kowal, Marta and Massar, KarlIJn and Pernerstofer, Felizitas and Sorokowski, Piotr and Voracek, Martin and Chartier, Christopher R. and Brandt, Mark J. and Grahe, Jon E. and {\"O}zdoğru, Asil A. and Andreychik, Michael R. and Chen, Sau-Chin and Evans, Thomas R. and Hautekiet, Caro and IJzerman, Hans and Kačm{\´a}r, Pavol and Krafnick, Anthony J. and Musser, Erica D. and Vergauwe, Evie and Werner, Kaitlyn M. and Aczel, Balazs and Arriaga, Patr{\´i}cia and Batres, Carlota and Beaudry, Jennifer L. and Cova, Florian and Ďurbisov{\´a}, Simona and Cramblet Alvarez, Leslie D. and Feldman, Gilad and Godbersen, Hendrik and Gottfried, Jaroslav and Haeffel, Gerald J. and Hartanto, Andree and Isloi, Chris and McFall, Joseph P. and Milyavskaya, Marina and Moreau, David and Nos{\´a}ľov{\´a}, Ester and Papaioannou, Kostas and Ruiz-Fernandez, Susana and Schr{\"o}tter, Jana and Storage, Daniel and Vezirian, Kevin and Volz, Leonhard and Weisberg, Yanna J. and Xiao, Qinyu and Awlia, Dana and Branit, Hannah W. and Dunn, Megan R. and Groyecka-Bernard, Agata and Haneda, Ricky and Kielinska, Julita and Kolle, Caroline and Lubomski, Paweł and Miller, Alexys M. and M{\ae}kel{\ae}, Martin J. and Pantazi, Mytro and Ribeiro, Rafael R. and Ross, Robert M. and Sorokowska, Agnieszka and Aberson, Christopher L. and Vassiliou, Xanthippi Alexi and Baker, Bradley J. and Bognar, Miklos and Cong, Chin Wen and Danvers, Alex F. and Davis, William E. and Dranseika, Vilius and Dumbravă, Andrei and Farmer, Harry and Field, Andy P. and Forscher, Patrick S. and Graton, Aur{\´e}lien and Hajdu, Nandor and Howlett, Peter A. and Kabut, Radosław and Larsen, Emmett M. and Lee, Sean T. H. and Legate, Nicole and Levitan, Carmel A. and Levy, Neil and Lu, Jackson G. and Misiak, Michał and Morariu, Roxana E. and Novak, Jennifer and Pronizius, Ekaterina and Prusova, Irina and Rathnayake, Athulya S. and Romanova, Marina O. and R{\"o}er, Jan P. and Sampaio, Waldir M. and Schild, Christoph and Schulte-Mecklenbeck, Michael and Stephen, Ian D. and Szecsi, Peter and Takacs, Elizabeth and Teeter, Julia N. and Thiele-Evans, Elian H. and Valeiro-Paterlini, Julia and Vilares, Iris and Villafana, Louise and Wang, Ke and Wu, Raymond and {\´A}lvarez-Solas, Sara and Moshontz, Hannah and Buchanan, Erin M.}, title = {Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication of Turri et al. (2015)}, series = {Advances in Methods and Practices in Psychological Science}, volume = {7}, journal = {Advances in Methods and Practices in Psychological Science}, number = {4}, publisher = {SAGE Publications}, issn = {2515-2459}, doi = {10.1177/25152459241267902}, pages = {1 -- 38}, language = {en} } @misc{WangLiangZhangetal., author = {Wang, P. and Liang, O. and Zhang, Wei and Schroeder, Thomas and Xie, Y. H.}, title = {Ultra-Sensitive Graphene-Plasmonic Hybrid Platform for Label-Free Detection}, series = {Advanced Materials}, volume = {25}, journal = {Advanced Materials}, number = {35}, issn = {1521-4095}, pages = {4918 -- 4924}, language = {en} } @misc{ZhangWangPyczaketal., author = {Zhang, Haoyin and Wang, C. P. and Pyczak, Florian and Ebel, Thomas and Liu, X. J.}, title = {A New Kind of Biomedical Ti-Mn-Nb Alloy}, series = {Physica Status Solidi. A, Applications and Materials Science}, volume = {220}, journal = {Physica Status Solidi. A, Applications and Materials Science}, number = {7}, issn = {1862-6300}, doi = {10.1002/pssa.202200348}, language = {en} } @misc{MartreDueriBrownetal., author = {Martre, Pierre and Dueri, Sibylle and Brown, Hamish and Asseng, Senthold and Ewert, Frank and Webber, Heidi and George, Mike and Craigie, Rob and Guarin, Jose Rafael and Pequeno, Diego and Stella, Tommaso and Ahmed, Mukhtar and Alderman, Phillip and Basso, Bruno and Berger, Andres and Bracho Mujica, Gennady and Cammarano, Davide and Chen, Yi and Dumont, Benjamin and Rezaei, Ehsan Eyshi and Fereres, Elias and Ferrise, Roberto and Gaiser, Thomas and Gao, Yujing and Garcia-Vila, Margarita and Gayler, Sebastian and Hochman, Zvi and Hoogenboom, Gerrit and Kersebaum, Kurt C. and Nendel, Claas and Olesen, J{\o}rgen and Padovan, Gloria and Palosuo, Taru and Priesack, Eckart and Pullens, Johannes and Rodr{\´i}guez, Alfredo and R{\"o}tter, Reimund P. and Ruiz Ramos, Margarita and Semenov, Mikhail and Senapati, Nimai and Siebert, Stefan and Srivastava, Amit Kumar and St{\"o}ckle, Claudio and Supit, Iwan and Tao, Fulu and Thorburn, Peter and Wang, Enli and Weber, Tobias and Xiao, Liujun and Zhao, Chuang and Zhao, Jin and Zhao, Zhigan and Zhu, Yan}, title = {Winter wheat experiments to optimize sowing dates and densities in a high-yielding environment in New Zealand: field experiments and AgMIP-Wheat multi-model simulations}, series = {Open Data Journal for Agricultural Research}, volume = {10}, journal = {Open Data Journal for Agricultural Research}, publisher = {Wageningen University and Research}, issn = {2352-6378}, doi = {10.18174/odjar.v10i0.18442}, pages = {14 -- 21}, abstract = {This paper describes the data set that was used to test the accuracy of twenty-nine crop models in simulating the effect of changing sowing dates and sowing densities on wheat productivity for a high-yielding environment in New Zealand. The data includes one winter wheat cultivar (Wakanui) grown during six consecutive years, from 2012-2013 to 2017-2018, at two farms located in Leeston and Wakanui in Canterbury, New Zealand. The simulations were carried out in the framework of the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat). Data include local daily weather data, soil profile characteristics and initial conditions, crop measurements at maturity (grain, stem, chaff and leaf dry weight, ear number and grain number, grain unit dry weight), and at stem elongation and anthesis (total above ground dry biomass, leaf number per stem and leaf area index). Several in-season measurements of the normalized difference vegetation index (NDVI) and the fraction of intercepted photosynthetically active radiation (FIPAR) are also available. The crop model simulations include both daily in-season and end-of-season results from twenty-nine wheat models.}, language = {en} } @misc{WebberCookeWangetal., author = {Webber, H. and Cooke, D. and Wang, C. and Asseng, S. and Martre, P. and Ewert, F. and Kimball, B. and Hoogenboom, G. and Evett, S. and Chanzy, A. and Garrigues, S. and Olioso, A. and Copeland, K.S. and Steiner, J.L. and Cammarano, D. and Chen, Y. and Cr{\´e}peau, M. and Diamantopoulos, E. and Ferrise, R. and Manceau, L. and Gaiser, T. and Gao, Y. and Gayler, S. and Guarin, J.R. and Hunt, T. and J{\´e}go, G. and Padovan, G. and Pattey, E. and Ripoche, D. and Rodr{\´i}guez, A. and Ruiz-Ramos, M. and Shelia, V. and Srivastava, A.K. and Supit, I. and Tao, F. and Thorp, K. and Viswanathan, M. and Weber, T. and White, J.}, title = {Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments}, series = {Field crops research}, volume = {332}, journal = {Field crops research}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0378-4290}, doi = {10.1016/j.fcr.2025.110032}, pages = {1 -- 18}, abstract = {Under climate change and increasingly extreme weather, projections of water demand and drought stress from process-based crop models can inform risk management and adaptation strategies. Previous studies investigating maize crop models demonstrated considerable error in the simulation of water use, and no similar evaluation of wheat crop models exists. The aims of this study were to (1) evaluate wheat crop models' performance in reproducing observed daily evapotranspiration (ET) for Mediterranean and semi-arid environments, and (2) identify factors and processes associated with model error and uncertainty. These were assessed with an ensemble of wheat crop models for two experiments, one conducted in Bushland, Texas, USA (three seasons, deficit and full irrigation) and another in Avignon, France (four rainfed seasons) with winter bread and durum wheat, respectively. Models were calibrated with all observed data for crop growth. The model ensemble median underestimated water use in all environments evaluated, suggesting a systematic bias. The relative error in underestimating daily ET was constant across levels of atmospheric evaporative demand; therefore, the absolute error was greater for days with larger evaporative demand. This implies errors in the soil water balance increase more rapidly under high evaporative demand conditions. Using a potential versus reference crop evapotranspiration approach did not explain relative model performance. However, the sensitivity analysis indicated that simulation of atmospheric evaporative demand terms explained much more uncertainty in seasonal water use than terms related to soil depth or root growth. Errors in simulated leaf area index were associated with errors in daily simulated ET, but the relationship varied with the growth stage. Collectively, the results suggest the need to improve simulation of atmospheric ET demand to avoid underestimating projected impacts of drought or required water resource availability for viable production systems.}, language = {en} }