Adaptive Augmented Reality Architecture for Optimising Assistance and Safety in Industry 4.0 by Ginés Morales Méndez, Francisco del Cerro Velázquez

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Observational partitioning of water and CO₂ fluxes at National Ecological Observatory Network (NEON) sites: a 5-year dataset of soil and plant components for spatial... by E. Zahn, E. Bou-Zeid

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Global agricultural lands in the year 2015 by Z. Mehrabi, Z. Mehrabi, Z. Mehrabi, K. Tong, K. Tong, J. Fortin, J. Fortin, J. Fortin, R. Stanimirova, M. Friedl, N. Ramankutty, N. Ramankutty

“…Our own research team's most recent complete publicly available agricultural land cover dataset, including both croplands, and pastures, represents circa 2000. These data, distributed on a graticule of 5 arcmin (<span class="inline-formula">∼</span> 10 km<span class="inline-formula">²</span> at the Equator), have been integrated into a considerable number and diversity of research studies, modelling, data science, and media applications. …”
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Satellite-derived global-ocean phytoplankton phenology indices by S.-A. Nicholson, T. J. Ryan-Keogh, S. J. Thomalla, S. J. Thomalla, N. Chang, N. Chang, M. E. Smith, M. E. Smith

“…This multi-decadal data product provides the phenology output from three widely used bloom detection methods at three different spatial resolutions (4, 9, and 25 km), allowing for both regional- and global-scale applications. …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…The satellite images contain enormous data that can be used in various applications. The analysis of the data is a tedious task due to the amount of data and the heterogeneity of the data. …”
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CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations by J. Liu, J. Koch, S. Stisen, L. Troldborg, A. L. Højberg, H. Thodsen, M. F. T. Hansen, R. J. M. Schneider

“…The dense and full spatial coverage for all 3330 catchments, instead of only gauged catchments, together with the addition of various simulation data from a distributed, process-based model, enhances the applicability of such CAMELS data, for example, for the development of data-driven and hybrid physically informed modeling frameworks or other cases where consistent full spatial coverage is required. …”
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A high-resolution divergence and vorticity dataset in Beijing derived from radar wind profiler mesonet measurements by X. Guo, J. Guo, D. Meng, Y. Sun, Z. Zhang, Z. Zhang, H. Xu, L. Zeng, J. Chen, N. Li, T. Chen

“…Our ability to obtain high-resolution horizontal divergence and vertical vorticity profiles, nevertheless, remains limited largely due to the lack of vertical wind observations. To fill this data gap, a high-density mesonet consisting of six radar wind profiler (RWP) sites has been operated in Beijing, which has allowed for continuous observations of three-dimensional winds with high vertical resolution. …”
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ARGO: ARctic greenhouse Gas Observation metadata version 1 by J. Vogt, M. M. T. A. Pallandt, L. S. Basso, A. Bolek, K. Ivanova, M. Schlutow, G. Celis, M. Kuhn, M. Mauritz, E. A. G. Schuur, K. Arndt, A.-M. Virkkala, I. Wargowsky, M. Göckede

“…To alleviate the data compilation process for syntheses, cross-scale analyses, Earth system models, and remote sensing applications, we introduce the ARctic greenhouse Gas Observation metadata version 1 (ARGO), a new meta-dataset comprised of greenhouse gas observations from various observational platforms across the Arctic and boreal biomes within the polar region of the Northern Hemisphere. …”
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Comprehensive inventory of large hydropower systems in the Italian Alpine Region by A. Galletti, A. Galletti, S. Zarghami Dastjerdi, S. Zarghami Dastjerdi, B. Majone

“…IAR-HP holds potential for numerous applications to inform decision-making in the dynamic context of climate change. …”
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ASM-SS: the first quasi-global high-spatial-resolution coastal storm surge dataset reconstructed from tide gauge records by L. Yang, T. Jin, T. Jin, W. Jiang, W. Jiang

“…In this paper, for the first time, an all-site modeling framework for a data-driven model was implemented on a quasi-global scale within areas severely affected by SSs caused by tropical cyclones. …”
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GloUCP: a global 1&thinsp;km spatially continuous urban canopy parameters for the WRF model by W. Liao, W. Liao, Y. Li, X. Liu, X. Liu, Y. Wang, Y. Che, L. Shao, G. Chen, H. Yuan, H. Yuan, N. Zhang, F. Chen

“…Numerical simulations, offering high-spatiotemporal-resolution meteorological data, are essential tools in meteorological research and atmospheric science. …”
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ARMTRAJ: a set of multipurpose trajectory datasets augmenting the Atmospheric Radiation Measurement (ARM) user facility measurements by I. Silber, J. M. Comstock, M. R. Kieburtz, L. M. Russell

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PL1GD-T: a high-resolution gridded daily air temperature dataset for Poland by A. Jaczewski, M. Marosz, M. Miętus, M. Miętus

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Homogenized daily sunshine duration over China from 1961 to 2022 by Y. He, Y. He, K. Wang, K. Yang, C. Zhou, C. Shao, C. Yin

“…These issues significantly affect the analysis of global dimming and brightening, as well as related applications, such as solar energy planning and agriculture management. …”
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HighResClimNevada: a high-resolution climatological dataset for a high-altitude region in southern Spain (Sierra Nevada) by M. García-Valdecasas Ojeda, M. García-Valdecasas Ojeda, F. Solano-Farias, D. Donaire-Montaño, E. Romero-Jiménez, J. J. Rosa-Cánovas, J. J. Rosa-Cánovas, Y. Castro-Díez, Y. Castro-Díez, S. R. Gámiz-Fortis, S. R. Gámiz-Fortis, M. J. Esteban-Parra, M. J. Esteban-Parra

“…However, the latter two present problems in characterizing precipitation in high mountain regions probably due to the scarcity of data in areas with high spatiotemporal variability, such as SN. …”
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Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2) by B. Lehner, M. Anand, E. Fluet-Chouinard, F. Tan, F. Tan, F. Aires, G. H. Allen, P. Bousquet, J. G. Canadell, N. Davidson, N. Davidson, M. Ding, C. M. Finlayson, C. M. Finlayson, T. Gumbricht, L. Hilarides, G. Hugelius, R. B. Jackson, M. C. Korver, L. Liu, P. B. McIntyre, S. Nagy, D. Olefeldt, T. M. Pavelsky, J.-F. Pekel, B. Poulter, C. Prigent, J. Wang, J. Wang, T. A. Worthington, D. Yamazaki, X. Zhang, M. Thieme

“…However, differences in definitions and methods have led to spatial and typological inconsistencies among individual data sources, confounding their complementary use and integration. …”
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OLIGOTREND, a global database of multi-decadal chlorophyll <i>a</i> and water quality time series for rivers, lakes, and estuaries by C. Minaudo, C. Minaudo, A. Abonyi, A. Abonyi, A. Abonyi, C. Alcaraz, J. Diamond, N. J. K. Howden, N. J. K. Howden, M. Rode, M. Rode, E. Romero, E. Romero, V. Thieu, F. Worrall, Q. Zhang, X. Benito, X. Benito

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Four-dimensional aircraft emission inventory dataset of the landing-and-takeoff cycle in China (2019–2023) by J. Lang, J. Lang, Z. Yang, Y. Zhou, C. Wen, X. Cheng

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3D-GloBFP: the first global three-dimensional building footprint dataset by Y. Che, X. Li, X. Liu, X. Liu, Y. Wang, W. Liao, X. Zheng, X. Zhang, X. Xu, Q. Shi, J. Zhu, H. Zhang, H. Zhang, H. Yuan, H. Yuan, Y. Dai, Y. Dai

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Mapping global distributions, environmental controls, and uncertainties of apparent topsoil and subsoil organic carbon turnover times by L. Zhang, L. Zhang, L. Yang, T. W. Crowther, C. M. Zohner, S. Doetterl, G. B. M. Heuvelink, G. B. M. Heuvelink, A. M. J.-C. Wadoux, A.-X. Zhu, Y. Pu, F. Shen, H. Ma, Y. Zou, C. Zhou, C. Zhou

“…The prediction uncertainties of the <span class="inline-formula"><i>τ</i></span> maps were quantified for better user applications. The environmental controls on topsoil and subsoil <span class="inline-formula"><i>τ</i></span> were investigated at global, biome, and local scales. …”
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