MDG625: a daily high-resolution meteorological dataset derived by a geopotential-guided attention network in Asia (1940–2023) by Z. Song, Z. Song, Z. Cheng, Z. Cheng, Y. Li, Y. Li, S. Yu, S. Yu, X. Zhang, X. Zhang, L. Yuan, L. Yuan, L. Yuan, M. Liu, M. Liu, M. Liu

“…<p>The long-term and reliable meteorological reanalysis dataset with high spatial–temporal resolution is crucial for various hydrological and meteorological applications, especially in regions or periods with scarce in situ observations and with limited open-access data. Based on the fifth-generation reanalysis dataset (ERA5, produced by the European Centre for Medium-Range Weather Forecasts, <span class="inline-formula">0.25<i>°</i>×0.25<i>°</i></span>, since 1940) and CLDAS (China Meteorological Administration Land Data Assimilation System, <span class="inline-formula">0.0625<i>°</i>×0.0625<i>°</i></span>, since 2008), we propose a novel downscaling method Geopotential-guided Attention Network (GeoAN), leveraging the high spatial resolution of CLDAS and the extended historical coverage of ERA5, and produce the daily multi-variable (2 m temperature, surface pressure, and 10 m wind speed) meteorological dataset MDG625. …”
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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…Finally, we use the benchmark dataset to train a network and then apply it to two 3-D seismic data for automatic seismic facies classification. …”
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LegacyVegetation: Northern Hemisphere reconstruction of past plant cover and total tree cover from pollen archives of the last 14&thinsp;kyr by L. Schild, L. Schild, P. Ewald, P. Ewald, C. Li, C. Li, R. Hébert, T. Laepple, T. Laepple, U. Herzschuh, U. Herzschuh, U. Herzschuh

“…The new REVEALS dataset is freely available on PANGAEA (see the Code and data availability section; <span class="uri">https://doi.org/10.1594/PANGAEA.974798</span>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx40">Herzschuh et al.…”
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A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res) by S. S. Mahto, S. S. Mahto, S. Fatichi, S. Galelli

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cigChannel: a large-scale 3D seismic dataset with labeled paleochannels for advancing deep learning in seismic interpretation by G. Wang, G. Wang, G. Wang, X. Wu, X. Wu, X. Wu, W. Zhang, W. Zhang, W. Zhang

“…</a>, <a href="#bib1.bibx66">2024</a></span>, <a href="https://doi.org/10.5281/zenodo.10791151">https://doi.org/10.5281/zenodo.10791151</a>), data generation codes, and trained U-Net model (<span class="cit" id="xref_altparen.2"><a href="#bib1.bibx64">Wang</a>, <a href="#bib1.bibx64">2024</a></span>, <span class="uri">https://github.com/wanggy-1/cigChannel</span>, last access: 5 July 2025), aiming to advance deep learning approaches for seismic paleochannel interpretation.…”
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Spatio-temporal forecasting of COVID-19 cases in the Netherlands for source and contact tracing by Max Keuken, Jizzo R. Bosdriesz, Anders Boyd, Elisabeth M. den Boogert, Ivo K. Joore, Nicole H.T.M. Dukers – Muijrers, Gini van Rijckevorsel, Hannelore M. Götz, Irene E. Goverse, Mariska W.F. Petrignani, Stijn F.H. Raven, Susan van den Hof, Kirsten V.C. Wevers-de Boer, Maarten F. Schim van der Loeff, Amy Matser

“…Given the accuracy and data requirements of the developed model, it is unlikely that this class of models can play a pivotal role in informing policy during the early phases of a future epidemic. …”
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Ethics in Clinical Research, E-Module Versus Traditional Online Lecture, a Randomized Study by Lynette M. Smith, Gaurav Kumar, Priyanka Chaudhary, Bruce Gordon

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Opening a career door!: The role of ChatGPT adoption in digital entrepreneurial opportunity recognition and exploitation by Cong Doanh Duong, Thi Thanh Hoa Phan, Bich Ngoc Nguyen, Thanh Van Pham, Ngoc Diep Do, Anh Trong Vu

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User-driven technology in NGOs—A computationally intensive theory approach by Marie-E. Zubler, (née Godefroid), Julian Koch, Ralf Plattfaut

“…To close this research gap, we employ the method of computationally intensive theory construction, combining data mining with qualitative interviews. Results indicate that user-driven technologies are indeed lagging and that forming a problem-mindset and creating adequate governance structures are the main challenges to their introduction within NGOs.…”
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AI literacy and e-entrepreneurial intention: A serial mediation model of e-entrepreneurial self-efficacy and e-entrepreneurial identity aspiration by Cong Doanh Duong

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Enhancing gender equity in resume job matching via debiasing-assisted deep generative model and gender-weighted sampling by Swati Tyagi, Anuj, Wei Qian, Jiaheng Xie, Rick Andrews

“…The code for this paper is publicly available on GitHub.…”
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Harnessing the potential of generative AI in digital marketing using the Behavioral Reasoning Theory approach by Sujata Joshi, Sonali Bhattacharya, Pankaj Pathak, N.A. Natraj, Juhi Saini, Soumya Goswami

“…The transcripts generated were manually coded and a deductive thematic analysis was done using the BRT as the theoretical framework.The findings indicate four significant themes for adopting GAI in digital marketing viz: innovation, creative communication and content creation, speed, efficiency and timesaving, enhanced customization and personalization; predictive analytics and simulation. …”
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Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels by Fengqin Wang, Juanjuan Jia, Qiuwen Zhang

“…Compared with natural video, point cloud video has a larger amount of data, and V-PCC coding improves coding efficiency but is more complex. …”
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Decoding discharge: accuracy of primary and secondary diagnoses in summaries by Abir Aijaz, Frances Steele, Alice Erlander Milne, Victoria Clarke, Kimberley Arme, Abdul Bhat

“…An option exists to select ‘not found’ under the diagnosis, allowing clinicians to enter custom diagnoses in free text, although these entries are not officially coded. Official coding is essential for maintaining accurate hospital data, facilitating research and ensuring that patients are eligible for appropriate research studies. …”
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The Study of Rural Tourism in Khangha Village as Perceived by Rural Villagers: A Grounded Theory Approach

“…Grounded Theory Approach was used to analyze data through open coding, axial coding, and selective coding. …”
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Iterative Processing for Superposition Mapping by Tianbin Wo, Meelis Noemm, Dapeng Hao, Peter Adam Hoeher

“…Superposition mapping (SM) is a modulation technique which loads bit tuples onto data symbols simply via linear superposition. Since the resulting data symbols are often Gaussian-like, SM has a good theoretical potential to approach the capacity of Gaussian channels. …”
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A Practical Guide and Assessment on Using ChatGPT to Conduct Grounded Theory: Tutorial by Yongjie Yue, Dong Liu, Yilin Lv, Junyi Hao, Peixuan Cui

“… Generative large language models (LLMs), such as ChatGPT, have significant potential for qualitative data analysis. This paper aims to provide an early insight into how LLMs can enhance the efficiency of text coding and qualitative analysis, and evaluate their reliability. …”
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Designing Iran's National Branding Model through the Sport Industry by Mahboubeh Khodaparast

“…In order to analyze the data, Glazeri's approach was used, including three main steps of open coding, selective coding and theoretical coding. …”
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The 4A climate action framework by Usman Sattar

“…A grounded theory approach with process coding techniques is employed, and the data are analyzed through three coding cycles: initial process coding, focused process coding, and conceptual process coding. …”
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Leveraging AI to Enhance Qualitative Research: Experiences and Recommendations From Case Studies in Cancer Prevention Literacy Across the European Union by Bibiana Barrera, Ariadna Feliu, Carolina Espina, Tilman Brand, Hajo Zeeb, Furqan Ahmed

“…Integrating AI into our workflow accelerated data processing and highlighted consistent coding patterns across diverse multilingual datasets. …”
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