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  1. 41

    EthoPy: Reproducible Behavioral Neuroscience Made Simple by Alexandros Evangelou (22235917)

    Published 2025
    “…To overcome these challenges, we developed EthoPy, an open-source, Python-based behavioral control framework that integrates stimulus presentation, hardware management, and data logging. …”
  2. 42

    PTPC-UHT bounce by David Parry (22169299)

    Published 2025
    “…</p><p dir="ltr">Included files:</p><ul><li>Python source code (<code>PTPC_UHT_bounce.py</code>)</li><li>Parameter sets for representative runs (α,β,Tcrit,V(T)\alpha, \beta, T_{\mathrm{crit}}, V(T)α,β,Tcrit​,V(T))</li><li>Output arrays of trajectories across multiple bounces</li><li>Multi-panel plots (PNG/PDF) for a(t)a(t)a(t), H(t)H(t)H(t), T(t)T(t)T(t), S(t)S(t)S(t), R(t)R(t)R(t), and ρT\rho_TρT​</li></ul><p dir="ltr">This dataset ensures full reproducibility of the PTPC simulations and provides a starting point for independent verification, parameter exploration, and future model extensions.…”
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    Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" by Timothy Warner (20222838)

    Published 2025
    “…</li><li>Flux decline data generated by the analysis software.</li><li>Plot data derived from the above data sources.</li><li>Python code to generate figures from the plot data.…”
  5. 45

    Graphical abstract of HCAP. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  6. 46

    Recall analysis. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  7. 47

    Convergence rate analysis. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  8. 48

    Computational efficiency. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  9. 49

    Analysis of IoMT data sources. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  10. 50

    Prediction accuracy on varying attack types. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  11. 51

    <b> </b> Precision analysis. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  12. 52

    Prediction accuracy analysis over time steps. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
  13. 53

    Impact of cyberattack types on IoMT devices. by Mohanad Faeq Ali (21354273)

    Published 2025
    “…The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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    Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

    Published 2025
    “…</p><p dir="ltr">Firstly, a Python package HSC3D, was developed to quantify habitat structural complexity (HSC) at the community level. …”
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    Workflow of a typical Epydemix run. by Nicolò Gozzi (8837522)

    Published 2025
    “…By lowering the barrier for the implementation of computational and inference approaches, Epydemix makes epidemic modeling more accessible to a wider range of users, from academic researchers to public health professionals.…”
  18. 58

    Number of tweets collected over time. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …”
  19. 59

    Descriptive measures of the dataset. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …”
  20. 60

    Media information. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …”