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  1. 81

    MSc Personalised Medicine at Ulster University by Steven Watterson (100045)

    Published 2025
    “…Both full-time and part-time programmes have two intakes and can be started in September or January.…”
  2. 82

    Vector-to-Image Converted Building Footprints or Building Change Detection by anonymous (20480480)

    Published 2024
    “…<p dir="ltr">We present a challenging change detection problem in vector building footprints, which is critical when detected changes are used to update existing vector databases. …”
  3. 83

    Replication package for Automated Extract Method Refactoring with Open-Source LLMs by Sivajeet Chand (21786839)

    Published 2025
    “…The framework allows you to test and evaluate multiple models on real-world Python code samples.</p><p dir="ltr"><br></p><p>---</p>Features<p dir="ltr">- Supports 5 popular LLMs for code refactoring</p><p dir="ltr">- Works on sample Python files in batch</p><p dir="ltr">- Flexible model configuration via `model.yaml`</p><p dir="ltr">- Designed for experimentation and evaluation in research or production</p><p dir="ltr">- Uses CodeNet dataset</p><p><br></p><p><br></p><p dir="ltr">Specify one of the following in `CodeBase/model.yaml`:</p><p><br></p><p dir="ltr">- `Qwen/CodeQwen1.5-7B-Chat`</p><p dir="ltr">- `deepseek-ai/deepseek-coder-6.7b-instruct`</p><p dir="ltr">- `meta-llama/Llama-3.2-3B-Instruct`</p><p dir="ltr">- `Qwen/Qwen2.5-Coder-7B-Instruct`</p><p dir="ltr">- `microsoft/Phi-4-mini-instruct`</p><p><br></p><p dir="ltr">Specify one of the following in `CodeBase/prompts.yaml`:</p><p><br></p><p dir="ltr">- `few_shot`</p><p dir="ltr">- `zero_shot`</p><p dir="ltr">- `rci`</p><p><br></p><p dir="ltr">Dependencies:</p><p><br></p><p dir="ltr">- pip install -r requirements.txt</p><p><br></p><p dir="ltr">Data:</p><p><br></p><p dir="ltr">- data/Python_wrapped </p><p dir="ltr">- data/Problem_descriptions </p><p dir="ltr">- selected_files.txt</p><p><br></p><p dir="ltr">Run :</p><p><br></p><p dir="ltr">- inference.main</p>…”
  4. 84

    Sample subject data. by Julia Jurkowska (22192327)

    Published 2025
    “…<p dir="ltr">Sample subject data used as a use-case in "Multi-Source Neural Activity Indices and Spatial Filters for EEG/MEG Inverse Problem: An Extension to MNE-Python". …”
  5. 85

    Analysis of Sensing Modalities for Electrode-Induction Gas Atomization of Metal Powders: Vibrometer and Acoustic Emission Data (TDMS) by David Miller (20697878)

    Published 2025
    “…Both sensors were recorded with a PXI system and a custom LABVIEW program.</p><p dir="ltr">The files can be read either in Python with the <a href="https://nptdms.readthedocs.io/en/stable/" rel="noreferrer" target="_blank">nptdms </a>or just with Matlab.…”
  6. 86

    Dataset – Student & Early-Career Survey on Data-Analytics Tool Adoption and Decision-Making (Uzbekistan, Apr–May 2025) by Lev Radman (21381269)

    Published 2025
    “…</i> Items operationalise seven UTAUT/TAM-based constructs: Performance Expectancy, Effort Expectancy, Behavioural Intention, Familiarity & Usage, Task–Technology Fit, Barriers to Adoption, plus Demographics (age, gender, study programme, prior stats courses, work experience). All Likert items use a five-point scale.…”
  7. 87

    Voxel Dataset by David Towers (12857447)

    Published 2025
    “…<p>The Voxel dataset is a constructed dataset of 3D shapes designed to present a unique problem for ML and NAS tools. Instead of a photo of a 3D object, we exploit ML's ability to work across N number of 'colour' channels and use this dimension as a third dimension for images.…”
  8. 88

    Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

    Published 2025
    “…At the beginning of the code, there is a help section that explains how to use it.<br></li><li>Python (written by Syed Shafat Ali and tested by Yan Ge): analogous functions of the MATLAB folder. …”
  9. 89

    Variation of the low-mass end of the stellar initial mass function with redshift and metallicity (dataset) by Matthew R. Bate (21823244)

    Published 2025
    “…The P-files can be read using the Fortran programme included in the repository: ptmass_simple_MPI_2.f . …”
  10. 90

    ImproBR Replication Package by Anonymus (18533633)

    Published 2025
    “…**Preprocess**: Extract structured sections (LLM + heuristic fallback)<br>3. **Improve**: Enhance using knowledge retrieval and LLM generation<br><br>## RQ2 Evaluation Pipeline<br>To run the RQ2 evaluation pipeline that compares ImproBR-improved, ChatBR-improved, and raw bug reports against ground truth using similarity analysis on 37 duplicate pairs:<br>```bash<br>cd Modified_ChatBR_Similarity_Codes/RQ2/<br>```<br>Then follow the steps in: [`Modified_ChatBR_Similarity_Codes/RQ2/README.md`](<u>Modified_ChatBR_Similarity_Codes/RQ2/README.md</u>)<br><br><br>## Troubleshooting<br><br>### API Configuration Issues<br><br>**LLM Connection Errors:**<br>- Ensure `AZURE_API_KEY` is valid and not expired<br>- Verify `AZURE_RESOURCE_NAME` matches your Azure OpenAI resource<br>- Check that your deployment name is exactly "gpt-4o-mini"<br>- Confirm you have sufficient quota/credits in your Azure account<br><br>**Knowledge Base Missing:**<br>If you see "Vector store not found" error:<br>```bash<br>python data/build_full_knowledge_base.py<br>```<br><br>### Common Installation Issues<br><br>**ChromaDB Installation Problems:**<br>If ChromaDB fails to install, try:<br>```bash<br>pip install --upgrade pip<br>pip install chromadb==0.4.15 --no-cache-dir<br>```<br><br>Alternative: Install without ChromaDB and use local embeddings<br>```bash<br>pip install -r requirements.txt --exclude chromadb<br>```<br><br>**Requirements Installation Failures:**<br>If requirements.txt fails, install core dependencies first:<br>```bash<br>pip install torch==2.8.0 transformers==4.30.2 sentence-transformers==2.2.2<br>pip install azure-ai-inference==1.0.0b1 openai==1.107.0<br>pip install requests==2.32.5 tqdm==4.67.1 colorama==0.4.6<br>```<br><br>Then install remaining packages:<br>```bash<br>pip install -r requirements.txt<br>```<br><br>**Python Version Compatibility:**<br>- **Minimum**: Python 3.8<br>- **Maximum**: Python 3.11.x<br>- **Recommended**: Python 3.9-3.11<br>- **Known Issues**: Python 3.12+ not supported due to package conflicts<br><br>### Configuration Issues<br><br>**Missing config.py:**<br>Copy template and edit with your API keys:<br>```bash<br>cp config.py.template config.py<br>```<br>Edit config.py with your Azure OpenAI credentials.…”
  11. 91

    Coverage Optimized Stochastic Reinforcement Learning for Lines by Gusiyuan Wang (21196376)

    Published 2025
    “…</p><p dir="ltr">We use Python API provided by the IBM ILOG CPLEX 22.1.0 to solve MILP models. …”
  12. 92

    Datasets by Rishabh Das (20960957)

    Published 2025
    “…The Python program also randomly opens and closes the valve. …”
  13. 93

    Data from: Dairy cows inoculated with highly pathogenic avian influenza virus H5N1 by AMY BAKER (17797757)

    Published 2024
    “…The pipeline uses Python v3.10, R v4.4 (R Development Core Team 2024), and SnakeMake to organize programs and script execution. …”
  14. 94

    Coverage Optimized Stochastic Reinforcement Learning for Lines by Gusiyuan Wang (21196376)

    Published 2025
    “…<p dir="ltr"><b>About this project</b></p><p dir="ltr">This project is a deep reinforcement learning (DRL)-driven optimization framework called Coverage Optimized Stochastic Reinforcement Learning for Lines (COSRL) model, designed to solve MCLP-Line problems under demand uncertainty due to the use of binary coverage relationship evaluation. …”
  15. 95

    Data and code for: A century of reforestation reduced anthropogenic warming in the eastern United States by Mallory Barnes (9756051)

    Published 2025
    “…</p><p>All the data can be processed using open-source programs such as R or Python. </p>…”
  16. 96

    Fire Ecology Database: Database exports for fire-related plant traits and vegetation responses to fire by José R. Ferrer-Paris (592994)

    Published 2025
    “…Data was exported from the database (<b>version 1.1</b>) and formatted in CSV and XLSX formats using customised Python scripts.</p><p dir="ltr">Contents:</p><ul><li>Fire-related trait records (fireveg-trait-records-model.xlsx)</li><li>Summary of fire-related information per species (fireveg-trait-report-model.xlsx)</li><li>Fire-related trait records (fireveg-trait-records.csv)</li><li>Fire-related trait records with problems for data curation (fireveg-trait-records-curation.xlsx)</li><li>Vegetation response to fire events, field data (fireveg-field-report-model.xlsx)</li><li>Vegetation response to fire events, field data (fireveg-field-records.csv)</li><li>List of references (fireveg-db-references.xlsx)</li><li>Two files with definitions of fire-related traits and attributes of field data</li></ul><p><br></p>…”
  17. 97

    Probabilistic-QSR-GeoQA by Mohammad Kazemi (19442467)

    Published 2024
    “…Also we have written Python API for Probcog (ProbCog-API.py) and SparQ reasoners (SparQ-API.py).…”
  18. 98

    Identifying Reactive Trends in Glycerol Electro-Oxidation Using an Automated Screening Approach: 28 Ways to Electrodeposit an Au Electrocatalyst by Raghuram Gaddam (15285161)

    Published 2024
    “…Our platform combines individually addressable electrode arrays with HardPotato, a Python application programming interface for potentiostat control, to automate electrochemical experiments and data analysis operations. …”
  19. 99

    Pteredactyl: Patient Clinical Free-Text Redaction Software by Matt Stammers (14037525)

    Published 2025
    “…</p><p dir="ltr">This is why we created <a href="https://pypi.org/project/pteredactyl/" rel="noopener noreferrer" target="_blank">Pteredactyl</a> - a python module to help with redaction of clinical free text.…”
  20. 100

    Data for "A multi-objective platform for autonomous property targeting and optimization of colloidal lead halide perovskite quantum dots" by Neal Munyebvu (19690954)

    Published 2025
    “…</p><p dir="ltr">The work demonstrates the use of AI-assisted multi-objective targeting and dynamic synthesis of targeted colloidal CQDs using exciton energy analysis of absorption spectra to infer both size and optical bandgap. …”