Flow patterns in synthetic fractures under varying matrix permeability for "On the influence of matrix flow in the hydraulic permeability of rough-walled fractures" by Carlos Augusto Soares Ferreira (9407516)

“…</p><p dir="ltr">The mesh files in this dataset are in VTK format and may be read using the Python library <b>meshio </b>(https://github.com/nschloe/meshio). …”

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

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

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

“…<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. …”

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

“…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>…”

Sample subject data. by Julia Jurkowska (22192327)

“…<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". …”

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

“…</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.…”

Voxel Dataset by David Towers (12857447)

“…<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.…”

Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

“…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. …”

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

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

ImproBR Replication Package by Anonymus (18533633)

“…**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.…”

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

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

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

“…<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. …”

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

“…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>…”

Probabilistic-QSR-GeoQA by Mohammad Kazemi (19442467)

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

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

“…</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.…”

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

“…</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. …”

Judge the Votes: A System to Classify Bug Reports and Give Suggestions by Emre Dinç (21720032)

“…Previous research have used various machine learning based techniques and language model based techniques to tackle this problem through auto-classification of bug reports. …”

Validation data for paper "SSSort 2.0: A semi-automated spike detection and sorting system for single sensillum recordings" by Lydia Ellison (9272843)

“…In order to improve the usefulness of this data, we have included both the original Spike2 file formats (smrx and smr), as well as the complete datasets in a widely compatible format (txt) and the individual test files in a Python readable format (dll).…”

CSPP instance by peixiang wang (19499344)

“…<p dir="ltr">This Python script (<code>instance_generator.py</code>) is a tool designed to <b>programmatically generate synthetic instance data for container stowage and logistics problems.…”

Mapping Policy Coherence in National UK Food Systems (2008– 2024): Analysing the Integration of Climate Change Mitigation and Adaptation Strategies, LEAP 2025 conference, Oxford by Ronja Teschner (20974180)

“…Van Rossum, G.; Drake, F. L. Python 3 Reference Manual, 2009.</p></td></tr></table><p></p>…”