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    Tracer-based Rapid Anthropogenic Carbon Estimation (TRACE) by B. R. Carter, B. R. Carter, J. Schwinger, R. Sonnerup, A. J. Fassbender, J. D. Sharp, J. D. Sharp, L. M. Dias, L. M. Dias, D. E. Sandborn

    Published 2025-07-01
    “…The data products generated by this research are available as MATLAB code (<a href="https://doi.org/10.5281/zenodo.15692788">https://doi.org/10.5281/zenodo.15692788</a>, BRCScienceProducts, 2025) and a spatially and temporally gridded data product (<a href="https://doi.org/10.5281/zenodo.15692788">https://doi.org/10.5281/zenodo.15692788</a>, BRCScienceProducts, 2025).…”
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  10. 54530

    CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India by N. K. Mangukiya, K. B. Kumar, P. Dey, S. Sharma, V. Bejagam, P. P. Mujumdar, P. P. Mujumdar, A. Sharma, A. Sharma

    Published 2025-02-01
    “…Furthermore, the dataset includes predicted streamflow time series from a regionally trained long short-term memory (LSTM)-based hydrological model for all 472 catchments which can fill gaps in observed streamflow data or serve as a benchmark for testing and developing new hydrological models. …”
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    Implemented machine learning tools to inform decision-making for patient care in hospital settings: a scoping review by Sharon E Straus, Andrea C Tricco, Sonia M Thomas, P Alison Paprica, Vera Nincic, Marco Ghassemi, Amanda Parker, Areej Hezam, Charmalee Harris, Orna Fennelly, Jessie McGowan

    Published 2023-02-01
    “…Common implementation strategies for the tools were clinician reminders that integrated ML predictions (44.4%), facilitated relay of clinical information (17.8%) and staff education (15.6%). …”
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