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  • Indirect tensile strength of cement-stabilized soils: a hybrid experimental and literature dataset
    The dataset compiles both literature-sourced records and newly generated experimental data on the indirect tensile strength (ITS) of cement-treated soils. This unified database is utilized to train and validate the SBS-TabPFN-SHAP model for ITS prediction.
  • Manuscript_Nguyen_et al_2025_MARGO-S-25-00511
    This is data file support the the Manuscript being submitted on Marine Geology. For further data explanation please contact to Thanh Cong Nguyen ncthanh@hcmus.edu.vn
  • Prospect Theory in the Field
    Replication files for Han, Sui and Yang (2025) "Prospect Theory in the Field: Revealed Preferences from Mutual Fund Flows," Journal of Financial Economics, forthcoming. Pseudo-data are provided when the actual raw data are licensed. As a result, the outcomes generated using the pseudo data will not match the results in the paper.
  • Enhancement of rare earth element bioleaching from regoliths by a novel siderophore produced by Streptomyces sp.
    Data in the manuscript by Limin Zhang et al. submitted to Geochimica et Cosmochimica Acta titled "Enhancement of rare earth element bioleaching from regoliths by a novel siderophore produced by Streptomyces sp.".
  • Rubidium isotope fractionation during intense weathering of basaltic rocks: Implication for tracing weathering intensity
    Rubidium isotope system has been advocated as an emerging proxy for silicate weathering intensity, primarily based on systematical isotope fractionations during moderate granite weathering through adsorption-desorption processes by secondary clay minerals. However, the magnitude and mechanism of Rb isotope fractionation during chemical weathering of basaltic rocks (an alternatively important silicate rock in the Earth’s crust), especially under intense weathering conditions, are still lacking. In this study, we present Rb isotope compositions (δ87Rb) from a gabbro weathering profile at Leizhou Peninsula, which forms under tropical humid monsoon climate. The upper saprolites are characterized by a positive linear correlation between the Th (a least-mobile element that can indicate aeolian accretion) and Rb contents, and the consistency of the δ87Rb values (–0.15 ± 0.09‰; 2SD, n = 30) with the Chinese loess (–0.11 ± 0.04‰) and the lower fresh gabbros (–0.11 ± 0.08‰; 2SD, n = 2), suggesting that the Rb is dominantly hosted in extraneous aeolian dusts while the geologic Rb derived from parent rocks has been completely removed during intense chemical weathering. The δ87Rb values of the middle semi-weathered gabbros (from –0.07‰ to 0.83‰) are positively fractionated relative to the fresh gabbros, and show a decreasing trend with increasing weathering intensity, which are mainly caused by progressive desorption of previously adsorbed isotopically heavy Rb from secondary clay minerals. On this basis, we suggest to use detrital δ87Rb records or seawater δ87Rb records reconstructed from reliable marine archives to trace continental silicate weathering intensity on a regional or global scale, respectively.
  • Housing characteristics matter. A spatial econometric analysis of residential photovoltaic diffusion in Fujian Province, China
    Data and codes for the research "Housing characteristics matter. A spatial econometric analysis of residential photovoltaic diffusion in Fujian Province, China".
  • DeepSeek-QueryBench: A Dataset for Evaluating the Performance and Stability of LLM-Generated Boolean Queries
    The "DeepSeek-QueryBench" dataset provides the first comprehensive empirical data for evaluating the performance and stability of open-source Large Language Models (LLMs) in Boolean query generation for scholarly search. This dataset captures the complete workflow from query generation to retrieval evaluation, specifically designed to assess LLM capabilities under novice user conditions. Core Components: 1. Original Model Outputs: Complete interaction records from DeepSeek-V3.1-Terminus across four operational modes (Default, Deep Thinking, Web Search, and their combination), with three independent generations per mode using a fixed simple Chinese prompt. 2. Generated Boolean Queries: Both original and syntactically corrected versions of 12 distinct Boolean queries targeting the interdisciplinary topic "3D printing in STEM education," formatted for Web of Science execution. 3. Retrieval Results: Complete bibliographic records (title, abstract, keywords, publication details) for all documents retrieved by each query execution in Web of Science Core Collection (2022-2024, article type), totaling 1,615 documents before deduplication. 4. Gold Standard Collection: A rigorously constructed benchmark of 172 relevant publications on "3D printing in STEM education," developed through baseline keyword retrieval and exhaustive forward/backward snowballing until saturation. 5. Performance Metrics: Comprehensive evaluation data including standard information retrieval metrics (Precision, Recall, F1-score, F3-score) and novel stability measures (Coefficient of Variation, Jaccard Similarity, Integration Change Rate) for each query and operational mode. 6. Analysis Materials: Supporting data for in-depth analysis including keyword frequency distributions, query structure categorization, semantic error patterns, and complementarity analysis between different query generations. Unique Value Proposition: This dataset addresses critical gaps in current LLM evaluation by focusing on: Stability and reproducibility rather than just peak performance Novice user scenarios with simple prompts and default configurations Open-source model capabilities beyond the dominant GPT ecosystem Real-world applicability through rigorous gold standard validation The dataset supports research in AI-assisted information retrieval, evidence synthesis automation, LLM reliability assessment, and human-AI collaboration in scholarly search.
  • data
    Soil aggregate stability and aggregate-associated organic carbon play a key role in soil organic carbon sequestration on grass-crop rotation
  • X-Ray Imaging Dataset for Detecting Fractured vs. Non-Fractured Bones
    This study uses a curated dataset of human bone X-ray images collected from two hospital laboratories, consisting of two classes: fractured and non-fractured bones. The dataset contains 420 original images (130 fractured and 290 non-fractured), with variations in size and resolution. All samples were carefully labeled and clinically verified by Dr. Mohammad Saiful Malek, MBBS, BCS (Health), Consultant and Surgeon at the UHC, Fulbaria Government Health Hospital, Mymensingh, Bangladesh, ensuring reliable annotations for research. To improve model robustness and generalization, data augmentation was applied only due to the limited number of samples. Using the Albumentations library, images were resized to 512×512 pixels and transformed using horizontal and vertical flips, brightness–contrast adjustments, rotations, and affine shearing. Each original sample produced six augmented versions, expanding the dataset from 420 images to 2520 images (780 fractured and 1740 non-fractured). After augmentation, combining spatial enhancement methods were additionally applied to further improve structural clarity and feature representation. This combined strategy increased data variability, balanced the dataset, and significantly enhanced the performance of the proposed model. The dataset is organized into the following class folders: - Fractured - Non-Fractured Original images: - Fractured (130) - Non-Fractured (290)
  • Main information and Observed hydrological characteristic data of all the 58 study sites
    Main information and Observed hydrological characteristic data of all the 58 study sites
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