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  1. 41

    Attention and Cognitive Workload by Rui Varandas (11900993)

    Published 2025
    “…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…”
  2. 42

    GeoGraphNetworks: Shapefile-Derived Datasets for Accurate and Scalable Graphical Representations by Harish Sharma (18881935)

    Published 2025
    “…The rail line infrastructure of the USA is represented as a single network that covers the entire country and includes connectivity to Canada. …”
  3. 43

    Metaverse Gait Authentication Dataset (MGAD) by sandeep ravikanti (20704127)

    Published 2025
    “…This dataset is ideal for researchers working on biometric authentication, gait analysis, and AI-driven identity verification systems.…”
  4. 44

    Modules organization over different course editions. by Gabriele Pozzati (21094166)

    Published 2025
    “…<p>Course editions starting from 2019 are represented side-by-side, while different working days and weeks of the same course edition are displayed vertically. …”
  5. 45

    Phylogenomics of aquatic bacteria by Krzysztof Jurdzinski (12519700)

    Published 2025
    “…</p> <p><br></p> <p>all_MSG_ids.txt - a text file with names of all the representative MAGs within all the MSG pairs.</p> <p><br></p> <p>filter_MSGs.py - a Python script to extract the MAGs from within the MSGs (given all_MSG_ids.txt) from a folder containing a larger set of sequences.…”
  6. 46

    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

    Published 2025
    “…</p><p dir="ltr">Briefly, this is a description of the performed work: Rapid, large-scale monitoring is critical to understanding spatiotemporal plant stress dynamics, but current physiological stress markers are costly, destructive, and time-consuming. …”