Showing 441 - 460 results of 53,088 for search '(structured OR structures) data', query time: 0.39s Refine Results
  1. 441

    Structural Features of Nanocrystalline Magnetite Obtained by Different Syntheses According to X-Ray Diffraction and Electron Microscopy Data by A.N. Kalinkevich, O.V. Kalinkevich, A.S. Stanislavov, V.N. Kuznetsov, L.F. Sukhodub, K.V. Tyschenko, M.G. Demidenko, S.N. Danilchenko

    Published 2011-01-01
    “…Structural features of nanosized magnetite Fe3O4 synthesized in the presence of polymeric matrices (polysaccharide chitosan, etc.) were studied using transmission electron microscopy (TEM) and X-ray diffraction analysis. …”
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    Litho-structural study and depth estimation of Shaki area of Southwestern, Nigeria using high resolution aeromagnetic data by Omonike Adedokun, Olagoke Oladejo, K. O Suleiman, Kehinde Alao, E. O. Adeniyi, H. Otobrise, Oluwaseun Adedokun, Lukman Sunmonu

    Published 2025-04-01
    “…This research therefore investigates the litho-structural trends and the overburden thickness around Shaki area, Southwestern, Nigeria. …”
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    A unified framework for post-disaster hazard and structural assessment data collection across hazards and infrastructure typologies by Mohammad S. Alam, Tracy Kijewski-Correa, David B. Roueche, Khalid M. Mosalam, David O. Prevatt, Ian Robertson

    Published 2025-07-01
    “…Post-disaster field observations of the built environment are critical for advancing fundamental research that links hazard data to structural performance, cascading community impacts, and the development of effective mitigation strategies. …”
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    Article
  10. 450

    New data on the structure and motion of the ice sheet in the area of a runway of the Novolazarevskaya Reserch Station (East Antarctica) by A. S. Boronina, M. P. Kashkevich, S. V. Popov, E. M. Mikhailov, A. E. Druzhin

    Published 2024-12-01
    “…The central part of the runway appears to be the most complex in structure, demonstrating relatively high deformations in the marginal parts and characterized by large vertical structures in the glacier. …”
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    NEW INSIGHT INTO THE STRUCTURAL MODEL IN SOUTHERN SUMATRA INDONESIA USING GRAVITY AND MAGNETIC DATA: IMPLICATIONS FOR GEOTHERMAL RESOURCES by Irfan Prasetyo, Wawan Gunawan Abdul Kadir, Dadi Abdurrahman, Darharta Dahrin, Khalil Ibrahim, Andri Kurniawan

    Published 2025-01-01
    “…The integration of gravity and magnetic data reveals new relationships between tectonic structures in the GSF zone and previously unexplored geothermal potential.…”
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  13. 453
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    Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data by Nodoka Hara, Fabio Iesari, Toshihiro Okajima, Andrea Di Cicco

    Published 2025-03-01
    “…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. In particular, the RMC-GNXAS package provides models of the three-dimensional structure applying the reverse Monte Carlo (RMC) method to EXAFS of condensed or molecular systems. …”
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    Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

    Published 2024-11-01
    “…As single UAS surveys offer both structural and spectral information, UAS data will contribute to precise biomass and vegetation monitoring at high spatial resolution in upcoming rewetting efforts.…”
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  17. 457

    Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

    Published 2025-06-01
    “…A total of 35 LiDAR metrics were calculated, of which 28 represent vegetation structural attributes. These include vegetation height (seven metrics), vegetation cover (fourteen metrics), and vegetation vertical variability (seven metrics). …”
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    Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

    Published 2025-06-01
    “…Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. …”
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