NEW DATA ON THE AGE AND COMPOSITION OF OPHIOLITES FROM THE KABAK-TAIGA MASSIF (GORNY ALTAI) by V. D. Zindobryi, M. M. Buslov, A. V. Kotlyarov

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Combining satellite and field data reveals Congo's forest types structure, functioning and composition by Juliette Picard, Maïalicah M. Nungi‐Pambu Dembi, Nicolas Barbier, Guillaume Cornu, Pierre Couteron, Eric Forni, Gwili Gibbon, Felix Lim, Pierre Ploton, Robin Pouteau, Paul Tresson, Tom vanLoon, Gaëlle Viennois, Maxime Réjou‐Méchain

“…We also described vegetation type structure and composition (floristic, functional and associated fauna) by linking the map with data from large inventories and derived from satellite images. …”
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Dust impact on photovoltaic modules: Global data, predictive models, emphasis on chemical composition by Hussam Almukhtar, Tek Tjing Lie, Wisam Al-Shohani

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A study on continuous dependence of layered composite materials in binary mixtures on basic data by Yuanfei Li

“…This paper investigates the continuous dependence of solutions to layered composite materials in binary mixtures on perturbation parameters defined in a semi-infinite cylinder. …”
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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

“…This paper proposes SUMMARIA, a XAI support methodology by generating composite (enriched) linguistic summaries of qualitative data. …”
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Long-Term Changes in Composition and Distribution of Bumblebees in Urban Areas by Michołap Paweł, Sikora Aneta, Sikora Marcin, Zając Krzysztof, Kadej Marcin

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Breakdown of the compositional data approach in psychometric Likert scale big data analysis: about the loss of statistical power of two-sample t-tests applied to heavy-tailed big data by René Lehmann, Bodo Vogt

“…Considering psychometric bipolar scale data as compositional data can enhance the statistical power of well-known paired and unpaired two-sample t-tests, supporting managerial decision-making and the development or implementation of health interventions. …”
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Two-stage multiple imputation with a longitudinal composite variable by Xuzhi Wang, Martin G. Larson, Chunyu Liu

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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

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A new data about systematic composition of Thanetian flat terebratulids of South-West Crimea by V. N. Komarov, A. O. Andrukhovich

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Composite Mapping for Peptide‐Based Data Storage with Higher Coding Density and Fewer Synthesis Cycles by Anxun Zhang, Longjie Wang, Xiaowei Zhai, Yao Xiao, Yanchan Wu, Yongxi Zhao, Kai Liu, Ji‐Shen Zheng, Dong Chen

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The composition of bile acids in patients with cholelithiasis according to the data of liquid chromatography with mass spectrometric detection by V. M. Klymenko, D. V. Syvolap, A. G. Kaplaushenko, B. O. Varynskyi

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Dataset on neuropsychological profile and microbiota composition in cognitively unimpaired elderly and Alzheimer's patientsMendeley Data by Luis Heredia, David Mateo, Nerea Carrión, Margarita Torrente

“…Furthermore, it is well known that the gut microbiota exhibits significant variability associated with lifestyle habits, diet, and geographic location, underscoring the critical influence of environmental and cultural factors in shaping its composition. These data are of utmost importance when considering regional and lifestyle-related diversity in microbiome research, as they can help researchers explore personalized therapeutic approaches and enhance participant stratification in future clinical trials.…”
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Addressing data scarcity in deep learning: Leveraging real and artificial datasets to predict compaction of composites by Anatoly Koptelov, Hanna Beketova, Jonathan P.-H. Belnoue, Stephen R. Hallett, Iryna Tretiak

“…Incorporating artificial data together with real data in the training set enhanced the overall prediction robustness, offering a potential solution to the issue of data scarcity. …”
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New data on species composition of fish in the Alekseev Bay (Peter the Great Bay, Japan Sea) by A. I. Markevich, P. S. Zimin, A. E. Subote, V. K. Fishchenko

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Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning by Rana Raza Mehdi, Nikhil Kadivar, Tanmay Mukherjee, Emilio A. Mendiola, Akila Bersali, Dipan J. Shah, George Karniadakis, Reza Avazmohammadi

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Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index by Junseop Oh, Kyoung-Ho Kim, Ho-Rim Kim, Sunhwa Park, Seong-Taek Yun

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Long-term data on biomass and species composition of fish by depth ranges in Peter the Great Bay by L. N. Kim, D. M. Kim

“…Species composition of fish in the bottom biotopes of Peter the Great Bay (Japan Sea) is considered for 8 biostatistical areas on the data of 2428 trawl catches obtained in 36 surveys conducted by Pacific Res. …”
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Data-driven discovery of the design rules for considering the curing deformation and the application on double-double composites by Yizhuo Gui, Hongwei Song, Jinglei Yang, Cheng Qiu

“…The process-induced deformation (PID) of composite laminates has been one of the critical problems for engineering structures. …”
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Species composition and biomass of fishes by the data of bottom trawls in the northwestern Japan Sea in 1978-1990 by Pavel G. Milovankin

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