Unveiling the carbon-reduction potential of data sharing: A quasi-experimental investigation of public data open platforms in Chinese cities. by Chengxing Xie, Yue Wang, Weilong Wang, Liang Wu

“…Existing research predominantly delves into the environmental governance performance of the digital economy, ignoring the latent values of data factors. Public Data Open Platforms (PDOPs) have released vast amounts of public data, fostering high-level applications of data across multiple industries and domains. …”
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A comprehensive review of data processing and target recognition methods for ground penetrating radar underground pipeline B-scan data by Chen Liu, Jue Li, Zhengnan Liu, Sirui Tao, Mingxuan Li

“…This study provided a comprehensive review of the current state-of-the-art in data processing and target recognition methods for GPR underground pipeline B-scan data. …”
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A simple method for generating long-term Holocene climate data with future climate projections from meteorological observation data by Jake Tuuli, Andy J. Baird, Dylan M. Young, Andrew Duncan, Roxane Andersen

“…Our method provides a replicable framework for other regions, supporting improved climate-driven peatland simulations. • Long-term paleoclimate data with climate projections tailored to specific sites are scarcely available • This research outlines a simple method for generating climate series for driving ecosystem models • Uses open-source resources and databases that are applicable across Europe…”
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Enhancing landslide dam stability prediction: a data-driven framework integrating missing data imputation and optimal threshold discrimination by Xiaojun Li, Xiaobo Zhang, Jun He, Yixiang Song, Yanqi Li

“…IntroductionAccurate prediction of landslide dam stability is critical for mitigating downstream hazards, but reliable models are hindered by incomplete inventories due to missing data. This study addresses this gap by integrating advanced imputation techniques with machine learning (ML) to enhance prediction accuracy and applicability.MethodsWe compiled a global inventory of 518 landslide dam cases (25% missing data rate) and evaluated five imputation methods: generative adversarial imputation nets (GAIN), missForest, multiple imputations by chained equations (MICE), K-nearest neighbors (KNN), and mean most-frequency (MMF). …”
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Molecular structure data and modelling roadmap for optimized oxidized graphene quantum dot and epoxy interface and mechanical propertiesMendeley Data by Prathamesh Deshpande, Robert Chan-Jobe, Ozgur Keles

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A social media data analysis of general and educational use of ChatGPT: Understanding emotional educators through Twitter data by Georgios Lampropoulos, Richard Ferdig and Regina Kaplan-Rakowski

“…This study reports on early adopters’ perspectives, attitudes, sentiments, and discourses regarding the general and educational use of ChatGPT using X (former Twitter) data. Text mining, sentiment analysis, and topic modeling techniques were used to analyze the data. …”
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Metabolomic data on molecular weight fractions of the cultivated fruiting body of Ophiocordyceps sinensis and their pharmacological effects on airway tissuesMendeley Data by Han-Ni Booi, Neng-Yao Goh, Mei-Kee Lee, Chyan-Leong Ng, Szu-Ting Ng, Chon-Seng Tan, Kuan-Hon Lim, Richard Roberts, Shin-Yee Fung, Kang-Nee Ting

“…Ophiocordyceps sinensis is a medicinal mushroom that has been traditionally used for promoting respiratory health and addressing diverse therapeutic needs.The data in this article provides insights into the metabolic profile of the cultivated fruiting body of Ophiocordyceps sinensis (xOs™) across different molecular weight (MW) fractions. …”
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Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data. by Ciarrah Barry, Junxi Liu, Rebecca Richmond, Martin K Rutter, Deborah A Lawlor, Frank Dudbridge, Jack Bowden

“…Simulations are conducted to demonstrate the method's performance against naive applications of two sample summary data MR. We apply the approach to the UK Biobank cohort to investigate the causal role of sleep disturbance on HbA1c levels, an important determinant of diabetes. …”
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ToF-SIMS spectral data analysis of Paenibacillus sp. 300A biofilms and planktonic cellsIEEE DataPort by Gabriel D. Parker, Andrew Plymale, Luke Hanley, Xiao-Ying Yu

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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…Most authors divided their data sets into 60–90% for training and 10–40% for testing. …”
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Synthesis and Application of Fe-Doped TiO2-Halloysite Nanotubes Composite and Their Potential Application in Water Treatment by Emmanuel Nyankson, Benjamin Agyei-Tuffour, Jonas Adjasoo, Annan Ebenezer, David Dodoo-Arhin, Abu Yaya, Bismark Mensah, Johnson Kwame Efavi

“…In this work, the potential application of TiO2-Fe-HNT photocatalyst-adsorbent composite in water treatment technologies was confirmed. …”
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The pitfalls and benefits of using administrative data for internal migration research: An evaluation of Australia’s Person Level Integrated Data Asset (PLIDA) by Aude Bernard, Jing Wu, Tom Wilson, Neil Argent, Tomasz Zając, Anthony Kimpton

“…BACKGROUND: To enhance its data capability, Australia recently set up a longitudinal administrative micro-dataset, the Person Level Integrated Data Asset (PLIDA). …”
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Using Optimization Algorithms for Effective Missing-Data Imputation: A Case Study of Tabular Data Derived from Video Surveillance by Mahmoud M. Eid, Kamal ElDahshan, Abdelatif H. Abouali, Alaa Tharwat

“…Data are crucial components of machine learning and deep learning in real-world applications. …”
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Towards Standardization of the Earth Observation Data Product Supply Chain – Are OCI Artifacts the Key to Ubiquitous and Scalable EO Data Handling? by S. Achtsnit, S. Achtsnit, M. Rösel, S. Meißl

“…This paper investigates the applicability of today’s OCI registry ecosystem to EO data pipelines, evaluating both strengths and current limitations in handling large, complex, and dynamic datasets. …”
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Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies by Justin C. Quon, MD, Christopher P. Long, MD, William Halfpenny, MBBS, MEng, Amy Chuang, MS, Cindy X. Cai, MD, MS, Sally L. Baxter, MD, MSc, Vamsi Daketi, MS, Amanda Schmitz, BS, Neil Bahroos, MS, Benjamin Y. Xu, MD, PhD, Brian C. Toy, MD

“…Design: Analysis of data elements in EHRs. Subjects: Not applicable. …”
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ItemComplex: A Python-based visualization framework for ex-post organization and integration of large language-based datasets by Karina Janson, Karl Gottfried, Olaf Reis, Johannes Kornhuber, Anna Eichler, Michael Deuschle, Tobias Banaschewski, Frauke Nees, IMAC-Mind Consortium

“…Abstract Background Nowadays, both researchers and clinicians alike have to deal with increasingly larger datasets, specifically also in the context of mental health data. Sophisticated tools for dataset visualization of information from various item-based instruments, such as questionnaire data or data from digital applications or clinical documentations, are still lacking, specifically for an integration at multiple levels and for use in both data organization and appropriate construction for its valid use in subsequent analyses. …”
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The Venus score for the assessment of the quality and trustworthiness of biomedical datasets by Davide Chicco, Alessandro Fabris, Giuseppe Jurman

“…Overall, our results confirm the applicability and utility of the Venus score to assess the trustworthiness of biomedical data.…”
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Performance Enhancement of Video Data Transmission in Vehicular Adhoc Networks by Nandhini Vineeth, H S Guruprasad

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A Novel Fixed-Point Iterative Process for Multivalued Mappings Applied in Solving a HIV Model of Fractional Order by Rubayyi T. Alqahtani, Godwin Amechi Okeke, Cyril Ifeanyichukwu Ugwuogor

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Standardizing free-text data exemplified by two fields from the Immune Epitope Database by Sebastian Duesing, Jason Bennett, James A. Overton, Randi Vita, Bjoern Peters

“…For the data-location dataset, in the character stage, the application of 39 rules resulted in 99.99% output validity; in the word stage, the application of 187 rules resulted in 98.46% output validity; and in the phrase stage, the application of 12 rules resulted in 97.95% output validity. …”
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