Dataset: Compositional analysis and hydrothermal liquefaction of a high-ash microalgae biofilmMendeley Data by Jacob D. Watkins, Hamza Abdellaoui, Elise Barton, Clayton Lords, Ronald C. Sims

“…This dataset contains biochemical composition data and hydrothermal liquefaction (HTL) yield results for a high-ash microalgae biofilm which was cultivated in effluent from a mesophilic anaerobic digester using polyethylene rotating algae biofilm reactors (RABRs). …”
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Predicting tree species composition using airborne laser scanning and multispectral data in boreal forests by Jaime Candelas Bielza, Lennart Noordermeer, Erik Næsset, Terje Gobakken, Johannes Breidenbach, Hans Ole Ørka

“…Tree species composition is essential information for forest management and remotely sensed (RS) data have proven to be useful for its prediction. …”
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Composition and structure of upper Jurassic black shales from the Moscow region considering new data by S. Yu. Malenkina

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Experimental datasets from mechanical testing and characterization of composites filled with PVCs wasteMendeley Data by Ariyana Dwiputra Nugraha, Edi Purnomo, Fachri Rozi Afandi, Heru Wijayanto, Nugroho Karya Yudha, Eko Supriyanto, Alvin Dio Nugroho, Muhammad Akhsin Muflikhun

“…This paper reports an investigation into composites containing photovoltaic (PVC) waste as a filler, offering a detailed set of data based on mechanical testing, material characterization, and simulation. …”
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Composite Index for Identifying Anomalies in Low Voltage Systems Using Smart Meter Measurement Data by Felipe B. B. Rolim, Fernanda C. L. Trindade, Vinicius C. Cunha

“…This study proposes a composite index that uses smart meter data, and statistical concepts to simultaneously detect and locate anomalous system operations. …”
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Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

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Extraction of Building Construction Time Using the LandTrendr Model With Monthly Landsat Time Series Data by Tengyun Hu, Meng Zhang, Xuecao Li, Tinghai Wu, Qiwei Ma, Jianneng Xiao, Xieqin Huang, Jinchen Guo, Yangchun Li, Donglie Liu

“…We identified the sensitive index of short wavelength infra-red (SWIR) from satellite observations for detecting changes in building construction, demolition, and reconstruction. Comparing composite results at different temporal intervals revealed that monthly data is more effective in accurately characterizing building changes compared to daily and yearly intervals. …”
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Compositional transformations can reasonably introduce phenotype-associated values into sparse features by George I. Austin, Tal Korem

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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…The main idea of our method is its adaptation of the SISAL algorithm, which expertly disentangles the ratio matrix, facilitating the identification of simplices within the ST data. STsisal offers a robust means to unveil the intricate composition of cell types in spatially resolved transcriptomic data. …”
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Revealing Mucilage Event-Linked Community Composition in the Sea of Marmara from eDNA Metabarcoding Data by Onur Doğan, Anıl Doğan Örün, Raşit Bilgin, Melek İşinibilir

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Robust phylogenetic tree-based microbiome association test using repeatedly measured data for composition bias by Kangjin Kim, Sungho Won

“…However, this method of analysis is limited by compositional bias, and few statistical methods can estimate the effect of microbiota on host diseases with repeatedly measured 16S rRNA gene data. …”
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Comparison of the results of the assessment of physical development with the data of the bioimpedance study of the body composition of secondary school students by I. E. Shtina, S. L. Valina, O. Yu. Ustinova

“…The assessment of a child’s physical development, including nutritional status, by the value of the body mass index is not always objective, since it does not take into account the component composition of the body.   The aim of the study is to compare the results of the assessment of physical development with the data of the bioimpedance study of the body composition of secondary school students.   …”
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Dietary compositions and their seasonal shifts in Japanese resident birds, estimated from the analysis of volunteer monitoring data. by Tetsuro Yoshikawa, Yutaka Osada

“…Based on these monitoring data, we calculated the monthly dietary composition of each bird species directly, and we also estimated unidentified items within the reported foraging episodes using Bayesian models that contained additional information regarding foraging locations. …”
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Assessing the healthiness of UK food companies' product portfolios using food sales and nutrient composition data. by Lauren Kate Bandy, Sven Hollowell, Richard Harrington, Peter Scarborough, Susan Jebb, Mike Rayner

“…<h4>Methods</h4>The FSA/Ofcom nutrient profile model was applied to the nutrient composition data for all products manufactured by the top 10 food and beverage companies and weighted by volume sales. …”
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Deriving household composition using population-scale electronic health record data-A reproducible methodology. by Rhodri D Johnson, Lucy J Griffiths, Joe P Hollinghurst, Ashley Akbari, Alexandra Lee, Daniel A Thompson, Ronan A Lyons, Richard Fry

“…Most methods to understand housing composition are based on survey or census data, and there is currently no reproducible methodology for creating population-level household composition measures using linked administrative data.…”
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Forest fire severity estimation based on the LiDAR-PNOA data and the values of the Composite Burn Index by A. L. Montealegre, M. T. Lamelas, M. A. Tanase, J. de la Riva

“…The aim of this research is to estimate the post-fire severity, relating a pool of independent variables derived from the LiDAR (Light Detection And Ranging) points clouds delivered by the National Plan for Aerial Orthophotography (PNOA) to field data based on Composite Burn Index collected in four fires located in Aragón (Spain). …”
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A review of physics-informed and data-driven approaches for manufacturing process optimization in polymer matrix composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

“…Machine learning approaches that integrate physical laws with data-driven models are transforming process optimization and quality assurance in polymer matrix composite manufacturing. …”
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Statistical Evaluation of Uniform Temperature and Thermal Gradients for Composite Girder of Tibet Region Using Meteorological Data by Yujuan Liu, Zhiyuan Ma, Jiang Liu

“…Based on the most unfavorable extreme meteorological data at each meteorological station, a finite element model was used to analyze the temperature field of the composite girder. …”
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Species Composition of Tropical Understory Birds in Threatened East African Coastal Forests Based on Capture Data by Robert B. Modest, Shombe N. Hassan

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A Signal-Based Data Fusion Approach in Non-DestructiveTesting of Composite Materials in the Aerospace Industry by Tom Avikasis Cohen, Anna Brook

“…Our findings highlight that data fusion markedly improves NDT effectiveness in complex, multi-layered composite aerospace materials, raising industry standards in both efficiency and accuracy. …”
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