Showing 161 - 180 results of 230 for search 'python source code', query time: 0.17s Refine Results
  1. 161

    SpaMask by Yi Liu (17324461)

    Published 2024
    “…<br>The domain identification results of the Tutorial Train_151674.ipynb can be found in the folder named data.<br>Python source code and tutorials can be also accessed at https://github.com/LYxiaotai/SpaMask.…”
  2. 162

    Reproducible visualization strategies for spatially varying coefficient (SVC) models: Incorporating uncertainty and assessing replicability by Victor Irekponor (19148917)

    Published 2025
    “…This study introduces <i>svc-viz</i>, an open-source Python tool that codifies best practices into a standardized framework for interpreting and communicating SVC model results with minimal coding effort. …”
  3. 163

    Ontology Element Knowledge Graph(OEKG) and a Case Study of Planting-OEKG by shanzhuang zhang (21489092)

    Published 2025
    “…</li><li>Some downloaded open-source ontology files</li><li>The project related code includes three Python files: OWL file parsing, ontology element storage, and ontology basic information storage, which can support the basic construction process of OEKG.…”
  4. 164

    Sonification of Growing Black Hole by Rose Shepherd (20328444)

    Published 2024
    “…<p dir="ltr">We present a sonification of time series data of X-rays and visible light from the black hole system MAXI J1820+070, during a rapid accretion episode in 2018. We used the open source Python package STRAUSS to produce the sonification (Trayford and Harrison 2023). …”
  5. 165

    <b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> by Shubham Pawar (22471285)

    Published 2025
    “…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…”
  6. 166

    Auxiliary and validation data for SAGEA-fluid by Weihang Zhang (17626761)

    Published 2025
    “…<p dir="ltr">SAGEA-fluid is an open-source Python-based solver designed to evaluate the self-attraction and loading effect (SAL), geocenter motion (GCM), and Earth orientation parameters (EOPs) including polar motion (PM) and length-of-day (LOD) variations induced by surface fluid redistribution. …”
  7. 167

    Spatial information for Spain by Jaime Martinez Cazon (20352189)

    Published 2024
    “…</b></p><p dir="ltr"><b><u>Source:</u></b><b> </b><a href="https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_ESP_4.json.zip" target="_blank">https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_ESP_4.json.zip</a></p><p dir="ltr">We need to filter by municipalities using the "CODIMUNI" column (code associated to each municipality) in "divisions-administratives-v2r1-municipis-1000000-20240705.json".…”
  8. 168

    Aquaporin-4 (AQP4) Degradome Foundation Atlas by Axel Petzold (7076261)

    Published 2025
    “…</li></ul><h3> Reproducibility and Code Availability</h3><p dir="ltr">The dataset can be <b>fully regenerated</b> using open-source tools:</p><ul><li><b>Python</b></li></ul><p dir="ltr">All required scripts are included in the repository and extensively documented for local replication and adaptation. …”
  9. 169

    Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" by Timothy Warner (20222838)

    Published 2025
    “…</li><li><b>catalytic_membrane_meta-analysis-0.1.3.zip</b>: zip folder containing figures from the publication and python codes and instructions for generating PFO results and individual figures for every research article listed in database.xlsx</li></ol><h2>Data Contents</h2><h3>database.xlsx</h3><h4>Porous Catalytic Membranes (Tab 1):</h4><ul><li>Index - number associated with analysis and figures generated by python codes in catalytic_membrane_meta-analysis-0.1.3.zip</li><li>Author full names</li><li>Title</li><li>Year</li><li>Source title</li><li>DOI</li><li>Abstract</li><li>Keywords</li></ul><h4>Data Table (Tab 2):</h4><ul><li>Index - number associated with analysis and figures generated by python codes in catalytic_membrane_meta-analysis-0.1.3.zip</li><li>Title</li><li>Comments on C/C0 Graph - description on what data was extracted, the format of the data and any modification required for analysis (if any).…”
  10. 170

    entity-poster.pdf by Evgeny Gorbunov (21771560)

    Published 2025
    “…Entity includes an open-source companion package, nt2py, for interactive simulation analysis, visualization, and post-processing in Python. …”
  11. 171

    Top Causes of Death in Mexico (1998-2023) by Montserrat Mora (20430644)

    Published 2025
    “…<p dir="ltr">This project provides a Python script and a comprehensive dataset for generating pyramid charts that visualize the top 30 causes of death in Mexico, disaggregated by sex. …”
  12. 172

    Missing and Unaccounted-for People in Mexico (1960s–2025) by Montserrat Mora (20430644)

    Published 2025
    “…</li><li><b>Requirements File:</b> A <code>requirements.txt</code> file listing the necessary Python libraries to run the script seamlessly.…”
  13. 173
  14. 174

    Population Pyramids for Mexico (1950-2070) by Montserrat Mora (20430644)

    Published 2024
    “…</p><p dir="ltr">The project includes:</p><ul><li>The Python script with detailed documentation.</li><li>A data file with demographic projections sourced from <a href="https://datos.gob.mx/busca/dataset/proyecciones-de-la-poblacion-de-mexico-y-de-las-entidades-federativas-2020-2070/resource/ae83f2b0-f23e-45e3-91ae-f85594775dff" rel="noopener" target="_new">datos.gob.mx</a>.…”
  15. 175

    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. …”
  16. 176

    IGD-cyberbullying-detection-AI by Bryan James (19921044)

    Published 2024
    “…</p><h2>Requirements</h2><p dir="ltr">To run this code, you'll need the following dependencies:</p><ul><li>Python 3.x</li><li>TensorFlow</li><li>scikit-learn</li><li>pandas</li><li>numpy</li><li>matplotlib</li><li>imbalanced-learn</li></ul><p dir="ltr">You can install the required dependencies using the provided <code>requirements.txt</code> file.…”
  17. 177

    Data repository for "Interacting topological quantum chemistry of Mott atomic limits" (Phys. Rev. B <b>107</b>, 245145, 2023) by Martina Ondina Soldini (15445766)

    Published 2024
    “…</p><p dir="ltr">The python script "ED_g2.py" contains an example of the source code used to compute the two-particle Green's functions.…”
  18. 178

    Distribution of Birth Times in Mexico by Sex, Delivery Method and Cesarean Type (2020-2024) by Montserrat Mora (20430644)

    Published 2025
    “…<p dir="ltr">This project provides a Python-based tool for generating insightful 24-hour radial clock charts that visualize the distribution of births in Mexico by time of birth. …”
  19. 179

    <b>GFAP Degradome Foundation Atlas</b> by Axel Petzold (7076261)

    Published 2025
    “…To extract you can use the bash terminal command: <br><b><i>tar -xvJf GFAP_Degradome_Foundation_Atlas_v3.tar.gz</i></b></p><p dir="ltr"><br></p><h3>Codes</h3><p dir="ltr">Dataset generation is reproducible using three open-source tools:<br><b>Python</b>, <b>BLAST</b>, and <b>SAS</b>.…”
  20. 180

    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. …”