NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function by Alessandra Rampinini, Irene Balboni, Olga Kepinska, Raphael Berthele, Narly Golestani

“…The NEBULA101 dataset offers brain structural, diffusion-weighted, task-based and resting-state MRI data, alongside extensive linguistic and non-linguistic behavioural measures to explore the complex interaction of language and cognition in a highly multilingual sample. …”
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Analysis of domain structure parameters of RFe11Ti (R = Y, Gd, Ho, Er) single crystals based on magnetic force microscopy data by A.M. Guseva, A.I. Sinkevich, S.D. Smetannikova, E.M. Semenova, Yu..G. Pastushenkov

“…The results of an experimental study of the magnetic domain structure on the basal plane of RFe11Ti single crystals (R=Y, Gd, Ho, Er) by magnetic force microscopy are presented. …”
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THE HERCYNIAN IMPOSED DEFORMATIONS IN THE GOLETS VYSOCHAISHII DEPOSIT STRUCTURE (BAIKAL-PATOM BELT), <SUP>40</SUP>AR/<SUP>39</SUP>AR DATA by V. A. Vanin, A. M. Mazukabzov, D. S. Yudin, A. V. Blinov, Yu. I. Tarasova

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Reconstruction of Typhoon Structure Using 3-Dimensional Doppler Radar Radial Velocity Data with the Multigrid Analysis: A Case Study in an Idealized Simulation Context by Hongli Fu, Xinrong Wu, Wei Li, Yuanfu Xie, Guijun Han, Shaoqing Zhang

“…These data are used to reconstruct the synthetic 3D “typhoon” structure by the STMAS and the traditional 3D variational (3D-Var) analysis. …”
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Combination Manner of Sampling Method and Model Structure: The Key Factor for Rice Mapping Based on Sentinel-1 Images Using Data-Driven Machine Learning by Pengliang Wei, Jiao Guo, Jiaqian Lian, Chaoyang Wang

“…Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of sampling&#x2013;model structure combination on it, which may prevent full utilization of input data, especially for synthetic aperture radar images with fewer crop prior features. …”
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Wavelet based technique for multi-crack detection of a beam-like structure using the vibration data measured directly from a moving vehicle by Nguyen Viet Khoa, Tran Thanh Hai

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Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain by Ziwen Yu, Ethan Hou, Jean Pompeo, Ray Huffaker, Mo Wang, Yabing Zhao

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Gender and age specifics of clinical status, structure-functional parameters of the heart, and their relationship with psychoemotional state of patients with chronic heart failure... by G. M. Dadashova

“…To assess gender and age specifics of clinical status, its relationship with psychoemotional state, assessment of structure-functional parameters of the heart in patients with chronic heart failure (CHF) after myocardial infarction (MI).Material and methods. …”
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A Novel Shape Classification Approach Based on Branch Length Similarity Entropy by Sang-Hee Lee, Cheol-Min Park

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Lateral Impact of Travelling Fires on Structural Elements in Large Compartments: Insights from Test 1 by Naveed Alam, Ali Nadjai

“…The structural steelwork was supplied with additional dummy columns for data acquisition purposes. …”
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Advancing public health through Spatial Data Infrastructures: a review of global practices, governance and policy recommendations by Victor Mayowa Adeleye, Patrick Ashinze, Teslim Okeoyo, Veronica El Nabbout, Emmanuel Chileshe Phiri, Gargi Gautam, Collins Chukwunonso Ezea, Alhazan Amir Adebayo, Halima Ali, Ekemode Oluwadamilola Monsurat

Subjects: “…Spatial Data Structure (SDI)…”
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Crustal Velocity Models Retrieved from Surface Wave Dispersion Data for Gujarat Region, Western Peninsular India by Vishwa Joshi

“…The present study will improve our knowledge about the structure of the seismogenic layer of this active intraplate region…”
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Can Industrial Digitalization Boost a Consumption-Driven Economy? An Empirical Study Based on Provincial Data in China by Hanzi Chen, Yue Liu, Zirui Wang

“…The empirical test results indicate: first, industrial digitalization significantly promotes the development of a consumption-driven economy, mainly reflected in the improvement of economic foundation and consumption levels, but shows no significant effect on improving the consumption structure. Second, mechanism analysis results show that industrial digitalization can promote the development of a consumption-driven economy by fostering innovation and advancing the industrial structure. …”
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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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Encryption of sensor data using the Lorentz attractor in embedded systems by Akbota Kulzhanova, Sholpan Jomartova, Talgat Mazakov

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MBI-KG: A knowledge graph of structured and linked economic research data extracted from the 1937 book “Die Maschinen-Industrie im Deutschen Reich”MADATA by Renat Shigapov, Thomas Schmidt, Jan Kamlah, Irene Schumm, Jochen Streb, Sibylle Lehmann-Hasemeyer

“…The unstructured extracted data was then structured and semantically enriched to enable data integration and reuse. …”
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Synthesis and structural insights of bis(2-methoxy-6-{[(2-methylpropyl)imino]methyl}phenolato) nickel (II) complex through DFT and docking investigations by K. Jayachandiran, Sv. Esha, M. Savitha Lakshmi, S. Mahalakshmi, S. Arockiasamy

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Dynamic coupling of economic and energy structures in resource-based regions: a case study of Shanxi Province, China by Ende Hu, Zeyuan Shen, Xianghua Wang

“…Drawing on data from Shanxi Province spanning 2010 to 2022, this study constructs comprehensive indicator systems for both economic and energy structures. …”
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Big data predictions of Seasonal Fluctuations in Marine Traffic (using AIS data) by monitoring idle ships by Liliya Mileva

“…The methods used are SQL queries and Excel functions for data extraction and calculations for data to receive results about seasonality and structural change indexes in five years (2019-2023). …”
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Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis by Shanna D. Kulik, Ilse M. Nauta, Prejaas Tewarie, Ismail Koubiyr, Edwin van Dellen, Aurelie Ruet, Kim A. Meijer, Brigit A. de Jong, Cornelis J. Stam, Arjan Hillebrand, Jeroen J. G. Geurts, Linda Douw, Menno M. Schoonheim

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