{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T21:35:44Z","timestamp":1785879344107,"version":"3.56.0"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2024-00342014"],"award-info":[{"award-number":["RS-2024-00342014"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2024-00440787"],"award-info":[{"award-number":["RS-2024-00440787"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2023-00253020"],"award-info":[{"award-number":["RS-2023-00253020"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["RS-2024-00342014"],"award-info":[{"award-number":["RS-2024-00342014"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Wharton data analytics initiative"},{"name":"Chungbuk National University NUDP program"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-05779-3","type":"journal-article","created":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T19:26:18Z","timestamp":1751397978000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Efficient curve fitting with penalized B-splines for oceanographic and ecological applications"],"prefix":"10.1038","volume":"15","author":[{"given":"Kwan-Young","family":"Bak","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong-Young","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ju-Seong","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hee-Jung","family":"Jee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. Jisung","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ja-Yong","family":"Koo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae-Hwan","family":"Jhong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,1]]},"reference":[{"key":"5779_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-6333-3","volume-title":"A Practical Guide to Splines","author":"CD Boor","year":"1978","unstructured":"Boor, C. D. A Practical Guide to Splines (Springer, 1978)."},{"key":"5779_CR2","doi-asserted-by":"crossref","unstructured":"Eilers, P. H.\u00a0C. & Marx, B.\u00a0D. Flexible smoothing with b-splines and penalties. Stat. Sci. (1996).","DOI":"10.1214\/ss\/1038425655"},{"key":"5779_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"RT Trevor Hastie","year":"2009","unstructured":"Trevor Hastie, R. T. & Friedman, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer, 2009)."},{"key":"5779_CR4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511618994","volume-title":"Spline Functions: Basic Theory","author":"LL Schumaker","year":"2007","unstructured":"Schumaker, L. L. Spline Functions: Basic Theory (Cambridge University Press, 2007)."},{"key":"5779_CR5","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970128","volume-title":"Spline Models for Observational Data","author":"G Wahba","year":"1990","unstructured":"Wahba, G. Spline Models for Observational Data (SIAM, 1990)."},{"key":"5779_CR6","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511755453","volume-title":"Semiparametric Regression","author":"MPW David Ruppert","year":"2003","unstructured":"David Ruppert, M. P. W. & Carroll, R. J. Semiparametric Regression (Cambridge University Press, 2003)."},{"key":"5779_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-4473-3","volume-title":"Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach","author":"PJ Green","year":"1994","unstructured":"Green, P. J. & Silverman, B. W. Nonparametric Regression and Generalized Linear Models: A Roughness Penalty Approach (CRC Press, 1994)."},{"key":"5779_CR8","doi-asserted-by":"publisher","DOI":"10.1201\/9781420010404","volume-title":"Generalized Additive Models: An Introduction with R","author":"SN Wood","year":"2006","unstructured":"Wood, S. N. Generalized Additive Models: An Introduction with R (CRC Press, 2006)."},{"key":"5779_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-5369-7","volume-title":"Smoothing Spline ANOVA Models","author":"C Gu","year":"2013","unstructured":"Gu, C. Smoothing Spline ANOVA Models (Springer, 2013)."},{"key":"5779_CR10","doi-asserted-by":"crossref","unstructured":"Leonid I.\u00a0Rudin, S.\u00a0O. & Fatemi, E. Nonlinear total variation based noise removal algorithms. Physica D (1992).","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"5779_CR11","doi-asserted-by":"crossref","unstructured":"Chambolle, A. & Lions, P.-L. Image recovery via total variation minimization and related problems. Numer. Math. (1997).","DOI":"10.1007\/s002110050258"},{"key":"5779_CR12","doi-asserted-by":"crossref","unstructured":"Tibshirani, R. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B (Stat. Methodol.) (1996).","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"5779_CR13","doi-asserted-by":"crossref","unstructured":"Noah Simon, T.\u00a0H., Jerome Friedman & Tibshirani, R. Regularization paths for Cox\u2019s proportional hazards model via coordinate descent. J. Stat. Softw. (2011).","DOI":"10.18637\/jss.v039.i05"},{"key":"5779_CR14","doi-asserted-by":"publisher","DOI":"10.1201\/9781315370279","volume-title":"Generalized Additive Models: An Introduction with R","author":"SN Wood","year":"2017","unstructured":"Wood, S. N. Generalized Additive Models: An Introduction with R 2nd edn. (CRC Press, 2017).","edition":"2"},{"key":"5779_CR15","doi-asserted-by":"crossref","unstructured":"Tibshirani, R.\u00a0J. & Taylor, J. The solution path of the generalized lasso.  Ann. Stat. (2011).","DOI":"10.1214\/11-AOS878"},{"key":"5779_CR16","unstructured":"Arnold, T.\u00a0B. & Tibshirani, R. Efficient implementations of the generalized lasso dual path algorithm. J. Comput. Graph. Stat. (2014)."},{"key":"5779_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd, S. et al. Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3, 1\u2013122 (2011).","journal-title":"Found. Trends Mach. Learn."},{"key":"5779_CR18","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970838","volume-title":"Augmented Lagrangian and Operator-Splitting Methods in Nonlinear Mechanics","author":"R Glowinski","year":"1989","unstructured":"Glowinski, R. & Tallec, P. L. Augmented Lagrangian and Operator-Splitting Methods in Nonlinear Mechanics (SIAM, 1989)."},{"key":"5779_CR19","doi-asserted-by":"crossref","unstructured":"Jerome Friedman, H.\u00a0H., Trevor Hastie & Tibshirani, R. Pathwise coordinate optimization. Ann. Appl. Stat. (2007).","DOI":"10.1214\/07-AOAS131"},{"key":"5779_CR20","doi-asserted-by":"crossref","unstructured":"Sihan Zhou, J.\u00a0L. & Wasserman, L. Time varying undirected graphs. Mach. Learn. (2010).","DOI":"10.1007\/s10994-010-5180-0"},{"key":"5779_CR21","unstructured":"Yuan, M. & Lin, Y. Model selection and estimation in regression with grouped variables. J. R. Stat. Soc. Ser. B (Stat. Methodol.) (2006)."},{"key":"5779_CR22","doi-asserted-by":"crossref","unstructured":"Laurent Jacob, G.\u00a0O. & Vert, J.-P. Group lasso with overlap and graph lasso. In Proceedings of the 26th International Conference on Machine Learning (ICML) (2009).","DOI":"10.1145\/1553374.1553431"},{"key":"5779_CR23","unstructured":"Pablo Sprechmann, A. M.\u00a0B. & Sapiro, G. Learning efficient sparse and low rank models. In IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)."},{"key":"5779_CR24","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970128","volume-title":"Spline Models for Observational Data","author":"G Wahba","year":"1990","unstructured":"Wahba, G. Spline Models for Observational Data (SIAM, 1990)."},{"key":"5779_CR25","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1137\/070690274","volume":"51","author":"S-J Kim","year":"2009","unstructured":"Kim, S.-J., Koh, K., Boyd, S. & Gorinevsky, D. $$\\backslash$$ell_1 trend filtering. SIAM Rev. 51, 339\u2013360 (2009).","journal-title":"SIAM Rev."},{"key":"5779_CR26","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1214\/13-AOS1189","volume":"42","author":"RJ Tibshirani","year":"2014","unstructured":"Tibshirani, R. J. Adaptive piecewise polynomial estimation via trend filtering. Ann. Stat. 42, 285\u2013323. https:\/\/doi.org\/10.1214\/13-AOS1189 (2014).","journal-title":"Ann. Stat."},{"key":"5779_CR27","doi-asserted-by":"crossref","unstructured":"Hastie, T.\u00a0J. Generalized additive models. In Statistical models in S. 249\u2013307 (Routledge, 2017).","DOI":"10.1201\/9780203738535-7"},{"key":"5779_CR28","doi-asserted-by":"publisher","DOI":"10.1201\/b14876","volume-title":"Kernel Smoothing","author":"MP Wand","year":"1994","unstructured":"Wand, M. P. & Jones, M. C. Kernel Smoothing (CRC Press, 1994)."},{"key":"5779_CR29","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1038\/nature06441","volume":"451","author":"SC Riser","year":"2008","unstructured":"Riser, S. C. & Johnson, K. S. Net production of oxygen in the subtropical ocean. Nature 451, 323\u2013325 (2008).","journal-title":"Nature"},{"key":"5779_CR30","doi-asserted-by":"crossref","unstructured":"Lumpkin, R. & Pazos, M. Measuring surface currents with surface velocity program drifters: The instrument, its data, and some recent results. Lagrangian Anal. Predict. Coastal Ocean Dyn. 39 (2007).","DOI":"10.1017\/CBO9780511535901.003"},{"key":"5779_CR31","doi-asserted-by":"crossref","unstructured":"Chelton, D.\u00a0B., Schlax, M.\u00a0G., Samelson, R.\u00a0M. & de Szoeke, R.\u00a0A. Global observations of large oceanic eddies. Geophysi. Res. Lett. 34 (2007).","DOI":"10.1029\/2007GL030812"},{"key":"5779_CR32","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.marpolbul.2011.04.016","volume":"65","author":"N Maximenko","year":"2012","unstructured":"Maximenko, N., Hafner, J. & Niiler, P. Pathways of marine debris derived from trajectories of Lagrangian drifters. Mar. Pollut. Bull. 65, 51\u201362 (2012).","journal-title":"Mar. Pollut. Bull."},{"key":"5779_CR33","volume-title":"The Migration Ecology of Birds","author":"I Newton","year":"2008","unstructured":"Newton, I. The Migration Ecology of Birds (Academic Press, 2008)."},{"key":"5779_CR34","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1128\/MMBR.00014-10","volume":"74","author":"CJ Robinson","year":"2010","unstructured":"Robinson, C. J., Bohannan, B. J. & Young, V. B. From structure to function: The ecology of host-associated microbial communities. Microbiol. Mol. Biol. Rev. 74, 453\u2013476 (2010).","journal-title":"Microbiol. Mol. Biol. Rev."},{"key":"5779_CR35","doi-asserted-by":"crossref","unstructured":"Fiedler, W. Bird ecology as an indicator of climate and global change. In Climate Change. 181\u2013195 (Elsevier, 2009).","DOI":"10.1016\/B978-0-444-53301-2.00009-9"},{"key":"5779_CR36","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1242\/jeb.02629","volume":"210","author":"M Wikelski","year":"2007","unstructured":"Wikelski, M. et al. Going wild: What a global small-animal tracking system could do for experimental biologists. J. Exp. Biol. 210, 181\u2013186 (2007).","journal-title":"J. Exp. Biol."},{"key":"5779_CR37","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1126\/science.aac9180","volume":"350","author":"CA Runge","year":"2015","unstructured":"Runge, C. A. et al. Protected areas and global conservation of migratory birds. Science 350, 1255\u20131258 (2015).","journal-title":"Science"},{"key":"5779_CR38","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/s40462-022-00302-z","volume":"10","author":"B Galtbalt","year":"2022","unstructured":"Galtbalt, B. et al. Differences in on-ground and aloft conditions explain seasonally different migration paths in demoiselle crane. Mov. Ecol. 10, 4. https:\/\/doi.org\/10.1186\/s40462-022-00302-z (2022).","journal-title":"Mov. Ecol."},{"key":"5779_CR39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-59223-2","volume-title":"The NURBS Book","author":"L Piegl","year":"1997","unstructured":"Piegl, L. & Tiller, W. The NURBS Book (Springer, 1997)."},{"key":"5779_CR40","volume-title":"Curves and Surfaces for CAGD: A Practical Guide","author":"G Farin","year":"2002","unstructured":"Farin, G. Curves and Surfaces for CAGD: A Practical Guide 5th edn. (Morgan Kaufmann, 2002).","edition":"5"},{"key":"5779_CR41","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.jspi.2016.12.003","volume":"184","author":"JH Jhong","year":"2017","unstructured":"Jhong, J. H., Koo, J. Y. & Lee, S. W. Penalized b-spline estimator for regression functions using total variation penalty. J. Stat. Plan. Inference 184, 77\u201393. https:\/\/doi.org\/10.1016\/j.jspi.2016.12.003 (2017).","journal-title":"J. Stat. Plan. Inference"},{"key":"5779_CR42","doi-asserted-by":"publisher","first-page":"83","DOI":"10.3182\/20120711-3-BE-2027.00310","volume":"45","author":"B Wahlberg","year":"2012","unstructured":"Wahlberg, B., Boyd, S., Annergren, M. & Wang, Y. An ADMM algorithm for a class of total variation regularized estimation problems. IFAC Proc. Vol. 45, 83\u201388 (2012).","journal-title":"IFAC Proc. Vol."},{"key":"5779_CR43","first-page":"527","volume":"40","author":"Y Xu","year":"2017","unstructured":"Xu, Y., Wu, Y. & Yin, W. A unified alternating direction method of multipliers by majorization minimization. IEEE Trans. Pattern Anal. Mach. Intell. 40, 527\u2013541 (2017).","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"5779_CR44","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1080\/00401706.2017.1345703","volume":"60","author":"Y Gu","year":"2018","unstructured":"Gu, Y., Fan, J., Kong, L., Ma, S. & Zou, H. Admm for high-dimensional sparse penalized quantile regression. Technometrics 60, 319\u2013331 (2018).","journal-title":"Technometrics"},{"key":"5779_CR45","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1561\/2400000003","volume":"1","author":"N Parikh","year":"2014","unstructured":"Parikh, N. & Boyd, S. Proximal algorithms. Found. Trends Optim. 1, 127\u2013239 (2014).","journal-title":"Found. Trends Optim."},{"key":"5779_CR46","first-page":"2297","volume":"12","author":"R Jenatton","year":"2011","unstructured":"Jenatton, R., Mairal, J., Obozinski, G. & Bach, F. Proximal methods for hierarchical sparse coding. J. Mach. Learn. Res. 12, 2297\u20132334 (2011).","journal-title":"J. Mach. Learn. Res."},{"key":"5779_CR47","unstructured":"NOAA\/AOML. Real-time data from global drifter program (2024). Accessed 11 Dec 2024."},{"key":"5779_CR48","doi-asserted-by":"publisher","first-page":"2820","DOI":"10.1175\/2009JPO4169.1","volume":"39","author":"F Ardhuin","year":"2009","unstructured":"Ardhuin, F., Mari\u00e9, L., Rascle, N., Forget, P. & Roland, A. Observation and estimation of Lagrangian, stokes, and Eulerian currents induced by wind and waves at the sea surface. J. Phys. Oceanogr. 39, 2820\u20132838 (2009).","journal-title":"J. Phys. Oceanogr."},{"key":"5779_CR49","doi-asserted-by":"publisher","first-page":"104420","DOI":"10.1016\/j.coastaleng.2023.104420","volume":"187","author":"DP Rijnsdorp","year":"2024","unstructured":"Rijnsdorp, D. P. et al. Including the effect of depth-uniform ambient currents on waves in a non-hydrostatic wave-flow model. Coast. Eng. 187, 104420 (2024).","journal-title":"Coast. Eng."},{"key":"5779_CR50","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1146\/annurev-marine-041911-111611","volume":"4","author":"SC Doney","year":"2012","unstructured":"Doney, S. C. et al. Climate change impacts on marine ecosystems. Annu. Rev. Mar. Sci. 4, 11\u201337 (2012).","journal-title":"Annu. Rev. Mar. Sci."},{"key":"5779_CR51","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1063\/PT.3.4880","volume":"74","author":"N Pizzo","year":"2021","unstructured":"Pizzo, N., Deike, L. & Ayet, A. How does the wind generate waves?. Phys. Today 74, 38\u201343 (2021).","journal-title":"Phys. Today"},{"key":"5779_CR52","doi-asserted-by":"publisher","first-page":"1187473","DOI":"10.3389\/fmars.2023.1187473","volume":"10","author":"S Pathirana","year":"2023","unstructured":"Pathirana, S., Young, I. & Meucci, A. Modelling swell propagation across the pacific. Front. Mar. Sci. 10, 1187473 (2023).","journal-title":"Front. Mar. Sci."},{"key":"5779_CR53","doi-asserted-by":"crossref","unstructured":"Wu, L., Sahl\u00e9e, E., Nilsson, E. & Rutgersson, A. A review of surface swell waves and their role in air-sea interactions. Ocean Model. 102397 (2024).","DOI":"10.1016\/j.ocemod.2024.102397"},{"key":"5779_CR54","doi-asserted-by":"publisher","first-page":"2126","DOI":"10.1175\/1520-0485(2003)033<2126:TIOWOS>2.0.CO;2","volume":"33","author":"W Perrie","year":"2003","unstructured":"Perrie, W., Tang, C., Hu, Y. & DeTracy, B. The impact of waves on surface currents. J. Phys. Oceanogr. 33, 2126\u20132140 (2003).","journal-title":"J. Phys. Oceanogr."},{"key":"5779_CR55","unstructured":"Copernicus Marine Environment Monitoring Service. Global Ocean Physics Analysis and Forecast (2025). Accessed 19 Feb 2025."},{"key":"5779_CR56","doi-asserted-by":"crossref","unstructured":"Akaike, H. Akaike\u2019s information criterion. Int. Encycl. Stat. Sci. 25\u201325 (2011).","DOI":"10.1007\/978-3-642-04898-2_110"},{"key":"5779_CR57","doi-asserted-by":"crossref","unstructured":"Schwarz, G. Estimating the dimension of a model.  Ann. Stat. 461\u2013464 (1978).","DOI":"10.1214\/aos\/1176344136"},{"key":"5779_CR58","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1146\/annurev-marine-122414-033849","volume":"8","author":"T Rossby","year":"2016","unstructured":"Rossby, T. Visualizing and quantifying oceanic motion. Annu. Rev. Mar. Sci. 8, 35\u201357 (2016).","journal-title":"Annu. Rev. Mar. Sci."},{"key":"5779_CR59","volume-title":"Data Analysis Methods in Physical Oceanography","author":"RE Thomson","year":"2014","unstructured":"Thomson, R. E. & Emery, W. J. Data Analysis Methods in Physical Oceanography (Newnes, 2014)."},{"key":"5779_CR60","volume-title":"Encyclopedia of Ocean Sciences","author":"JK Cochran","year":"2019","unstructured":"Cochran, J. K., Bokuniewicz, H. J. & Yager, P. L. Encyclopedia of Ocean Sciences (Academic Press, 2019)."},{"key":"5779_CR61","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1146\/annurev-marine-121211-172315","volume":"5","author":"JD Paduan","year":"2013","unstructured":"Paduan, J. D. & Washburn, L. High-frequency radar observations of ocean surface currents. Annu. Rev. Mar. Sci. 5, 115\u2013136 (2013).","journal-title":"Annu. Rev. Mar. Sci."},{"key":"5779_CR62","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1175\/BAMS-88-8-1197","volume":"88","author":"C Donlon","year":"2007","unstructured":"Donlon, C. et al. The global ocean data assimilation experiment high-resolution sea surface temperature pilot project. Bull. Am. Meteorol. Soc. 88, 1197\u20131214 (2007).","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"5779_CR63","doi-asserted-by":"publisher","first-page":"e2316827121","DOI":"10.1073\/pnas.2316827121","volume":"121","author":"SW Yanco","year":"2024","unstructured":"Yanco, S. W. et al. Migratory birds modulate niche tradeoffs in rhythm with seasons and life history. Proc. Natl. Acad. Sci. 121, e2316827121 (2024).","journal-title":"Proc. Natl. Acad. Sci."},{"key":"5779_CR64","unstructured":"Millington, S. & Batbayar, N. Unraveling the mystery of demoiselle crane migration. In Technical Report. Vol. 48(1). (International Crane Foundation, 2022)."},{"key":"5779_CR65","first-page":"143","volume":"4","author":"Y Kanai","year":"2000","unstructured":"Kanai, Y. et al. Migration of demoiselle cranes in Asia based on satellite tracking and fieldwork. Glob. Environ. Res. 4, 143\u2013153 (2000).","journal-title":"Glob. Environ. Res."},{"key":"5779_CR66","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1134\/S1062359022070068","volume":"49","author":"EI Ilyashenko","year":"2023","unstructured":"Ilyashenko, E. I. et al. Migrations of the demoiselle crane (anthropoides virgo, gruiformes): Remote tracking along flyways and at wintering grounds. Biol. Bull. 49, 863\u2013888. https:\/\/doi.org\/10.1134\/S1062359022070068 (2023).","journal-title":"Biol. Bull."},{"key":"5779_CR67","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1126\/science.1258732","volume":"347","author":"C Bishop","year":"2015","unstructured":"Bishop, C. et al. The roller coaster flight strategy of bar-headed geese conserves energy during Himalayan migrations. Science 347, 250\u2013254. https:\/\/doi.org\/10.1126\/science.1258732 (2015).","journal-title":"Science"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05779-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05779-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05779-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T19:26:28Z","timestamp":1751397988000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-05779-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,1]]},"references-count":67,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["5779"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-05779-3","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,1]]},"assertion":[{"value":"26 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"21958"}}