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    An in situ daily dataset for benchmarking temporal variability of groundwater recharge by P. Malakar, P. Malakar, P. Malakar, A. Anshuman, M. Kumar, G. Boumis, T. P. Clement, A. Tashie, H. Thakur, N. Bhat, N. Bhat, L. Rathore

    Published 2025-04-01
    “…The RpSy dataset may serve as a benchmark for validating the temporal consistency of recharge products and daily simulation results from land surface and integrated hydrologic models. The dataset is available at <a href="https://doi.org/10.5281/zenodo.13323242">https://doi.org/10.5281/zenodo.13323242</a> (Malakar et al., 2024).…”
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    Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

    Published 2025-08-01
    “…(The code for this study is publicly available on GitHub at: https://github.com/fujianU/federated-learning. The URL address of the MNIST dataset is: https://gitcode.com/Resource-Bundle-Collection/d47b0/overview?…”
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