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  1. 81

    <b>Dataset for manuscript: </b><b>Phylogenetic and genomic insights into the evolution of terpenoid biosynthesis genes in diverse plant lineages</b> by Puguang Zhao (19023065)

    Published 2025
    “…After extracting the gene IDs, make sure to add a column header named "ID" in the output file (DXR.xlsx).</p><p dir="ltr"> Python Scripts (.py): These three scripts are executed in Visual Studio Code, using Python 3.10.4 as the runtime environment.…”
  2. 82

    Digital Twin for Chemical Sciences by Jin Qian (19339035)

    Published 2025
    “…The procedure for generating data in Figure 3 can be found in the demo notebook in Supplementary Code. The procedure for generating data of Figure 4 has been uploaded in fig4_figshare.zip file. …”
  3. 83
  4. 84

    Sonification of Warming Stripes by Christopher Harrison (9448751)

    Published 2025
    “…The sonification was produced using the STRAUSS sonification Python package.</p><p dir="ltr">Here we release:<br>1. …”
  5. 85

    Satellite monitoring of Greenland wintertime buried lake drainage by Jianing Wei (22400896)

    Published 2025
    “…Buried_lake_drainage_code</p><p dir="ltr">This folder contains two Python Jupyter Notebooks for detecting wintertime buried lake drainages (BLDs). …”
  6. 86

    Overview of generalized weighted averages. by Nobuhito Manome (8882084)

    Published 2025
    “…The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…”
  7. 87

    Sonification of Growing Black Hole by Rose Shepherd (20328444)

    Published 2024
    “…We used the open source Python package STRAUSS to produce the sonification (Trayford and Harrison 2023). …”
  8. 88

    Audio Datasets of belt conveyor rollers in mines by Juan Liu (19687435)

    Published 2024
    “…</li><li><b>Python Code: </b>This code validates the accuracy and usability of the audio feature datasets in real-time monitoring of belt conveyor roller operational states.…”
  9. 89

    Dataset for CNN-based Bayesian Calibration of TELEMAC-2D Hydraulic Model by Jose Zevallos (21379988)

    Published 2025
    “…</li></ul></li></ul><p dir="ltr">The <code>.npy</code> files were loaded and processed using the following approach in Python:</p><p dir="ltr"># Load the input and output numpy arrays</p><p dir="ltr">input_path = "..…”
  10. 90

    Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

    Published 2025
    “…</p><p dir="ltr">The Python programming source code used to run the calculation of ET0 and AI is provided and available online on Figshare at:</p><p dir="ltr">https://figshare.com/articles/software/Global_Aridity_Index_and_Potential_Evapotranspiration_Climate_Database_v3_-_Algorithm_Code_Python_/20005589</p><p dir="ltr">Peer-Review Reference and Proper Citation:</p><p dir="ltr">Zomer, R.J.; Xu, J.; Trabuco, A. 2022. …”
  11. 91

    Social media images of China's terraces by Song Chen (19488280)

    Published 2025
    “…Geo-tagged images were collected using Weibo cookies and Python-based scraping tools (available at: https://github.com/dataabc/weibo-search). …”
  12. 92

    Physiotherapist-Assisted Wrist Movement Protocol for EEG-Based Corticokinematic Coherence Assessment by Fanni Kovács (21733838)

    Published 2025
    “…</li></ul><p dir="ltr"><b>Example (Python, using numpy):</b></p><pre><pre>import numpy as np, os<br><br>filename = "S113_ckc_bal_t1_01"<br><br># Read channel labels from .hed<br>channels = []<br>with open(filename + ".hed", "r") as f:<br> for line in f:<br> if line.startswith("Ch:"):<br> channels.append(line.split(":")[1].strip())<br>n_channels = len(channels)<br><br># Determine number of samples<br>filesize = os.path.getsize(filename + ".flo")<br>n_samples = filesize // (4 * n_channels)<br><br># Load EEG data<br>raweeg = np.fromfile(filename + ".flo", dtype="f4")<br>raweeg = raweeg.reshape(n_channels, n_samples)<br></pre></pre><h4><b>Notes</b></h4><ul><li>Data are organized by movement side (<code>bal</code> = left, <code>jobb</code> = right), trial (<code>t1</code>), and block repetition (01, 02).…”
  13. 93

    Minami_etal_2025 by Keiichi Mochida (4670800)

    Published 2025
    “…<h2>Code files related to Minami et al (2025)</h2><p dir="ltr">accession_plot.py:Python script used to generate Fig4a.…”
  14. 94

    Genomic Epidemiology of SARS-CoV-2 in Peru from 2020 to 2024 by Pablo Tsukayama (22614461)

    Published 2025
    “…</p><p dir="ltr"><b>Contents:</b></p><p><b>1. Analysis Code</b></p><p>Core Python scripts used to curate metadata, process genomic data, perform lineage assignments, compute summary statistics, and prepare inputs for downstream phylogenetic and phylogeographic analyses. …”
  15. 95

    MCCN Case Study 3 - Select optimal survey locality by Donald Hobern (21435904)

    Published 2025
    “…</p><p dir="ltr">This is a simple implementation that uses four environmental attributes imported for all Australia (or a subset like NSW) at a moderate grid scale:</p><ol><li>Digital soil maps for key soil properties over New South Wales, version 2.0 - SEED - see <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html" target="_blank">https://esoil.io/TERNLandscapes/Public/Pages/SLGA/ProductDetails-SoilAttributes.html</a></li><li>ANUCLIM Annual Mean Rainfall raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-rainfall-raster-layer</a></li><li>ANUCLIM Annual Mean Temperature raster layer - SEED - see <a href="https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer" target="_blank">https://datasets.seed.nsw.gov.au/dataset/anuclim-annual-mean-temperature-raster-layer</a></li></ol><h4><b>Dependencies</b></h4><ul><li>This notebook requires Python 3.10 or higher</li><li>Install relevant Python libraries with: <b>pip install mccn-engine rocrate</b></li><li>Installing mccn-engine will install other dependencies</li></ul><h4><b>Overview</b></h4><ol><li>Generate STAC metadata for layers from predefined configuratiion</li><li>Load data cube and exclude nodata values</li><li>Scale all variables to a 0.0-1.0 range</li><li>Select four layers for comparison (soil organic carbon 0-30 cm, soil pH 0-30 cm, mean annual rainfall, mean annual temperature)</li><li>Select 10 random points within NSW</li><li>Generate 10 new layers representing standardised environmental distance between one of the selected points and all other points in NSW</li><li>For every point in NSW, find the lowest environmental distance to any of the selected points</li><li>Select the point in NSW that has the highest value for the lowest environmental distance to any selected point - this is the most different point</li><li>Clean up and save results to RO-Crate</li></ol><p><br></p>…”
  16. 96

    (A) Sampling locations and ranges of <i>I. feisthamelii</i> (purple) and <i>I. podalirius</i> (teal) butterflies. by Sam Ebdon (21072525)

    Published 2025
    “…The basemap plotting code is available <a href="https://github.com/samebdon/iphiclides_speciation_data/blob/main/draw_basemap.py" target="_blank">here</a>.…”
  17. 97

    Cognitive Fatigue by Rui Varandas (11900993)

    Published 2025
    “…<br></p><p dir="ltr"><b>HCI features</b> encompass keyboard, mouse, and screenshot data. Below is a Python code snippet for extracting screenshot files from the screenshots CSV file.…”
  18. 98

    Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx by Piyachat Udomwong (22563212)

    Published 2025
    “…The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…”
  19. 99

    JASPEX model by Olugbenga OLUWAGBEMI (21403187)

    Published 2025
    “…</p><p dir="ltr">We wrote new sets of python codes and developed python programming codes to rework on the map to generate the coloured map of Southwest Nigeria from the map of Nigeria (which represented the region of our study). …”
  20. 100

    Multisession fNIRS-EEG data of Post-Stroke Motor Recovery: Recordings During Intact and Paretic Hand Movements by Aleksandra Medvedeva (21221383)

    Published 2025
    “…<p dir="ltr">EEG and fNIRS data are provided in the FIF format, which is compatible with the MNE-Python library (Gramfort et al., 2013). In addition, EEG recordings are also available in EDF format, and fNIRS recordings in .snirf format. …”