Appendix_SRD_Manual.docx by Doron Nakar (21664370)

Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations by Sascha Mausenberger (22225772)

“…We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. …”

Comprehensive Fluid and Gravitational Dynamics Script for General Symbolic Navier-Stokes Calculations and Validation by Stylianos Touloumidis (19938747)

“…It provides a flexible foundation on which theoretical assumptions can be validated, and practical calculations performed. Implemented in Python with symbolic calculations, the script facilitates in-depth analysis of complex flow patterns and makes advanced mathematical computations more accessible. …”

Soulware-Lite by Abhiram Gnyanijaya (21572942)

“…</p><p><br></p><p dir="ltr">The system is fully modular, built on Python + FastAPI, and integrated with Streamlit UI for visualizing alignment confidence and drift flags. …”

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

“…</b> Introducing computational approaches to studying genes, proteins or metabolites, this module teaches Python coding, data analysis and how to work with the databases that support data analysis.…”

Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data by Jeanette Leue (22470409)

“…This Zenodo package includes: the full research paper (PDF), a complete Python implementation generating the LMC field and conductivity model, a numerical plot comparing discrete LMC values with the smoothed continuum field, a cover letter and supporting documentation. …”

Reinforcement Learning based traffic steering inOpen Radio Access Network (ORAN)- oran-ts GitHub Repository by Aaradhy Sharma (21503465)

“…<p dir="ltr">This repository contains the simulation codebase for research on <b>Reinforcement Learning (RL) based Traffic Steering and Resource Allocation in Open Radio Access Networks (O-RAN)</b>. It features a modular Python framework implementing various RL agents (Q-Learning, SARSA, N-Step SARSA, DQN) and a traditional baseline evaluated in a realistic cellular network environment. …”

Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning by Baptista Boanha (22424668)

“…Six Python scripts are provided, each implementing a distinct machine learning algorithm—Random Forest, k-Nearest Neighbors (k-NN), Multi-Layer Perceptron (MLP), Decision Tree, Naïve Bayes, and Logistic Regression. …”

Deakin IoT Traffic Dataset by Aleksandar Pasquini (13092765)

“…These scripts include functionalities such as packet filtering based on MAC addresses and protocol-specific data extraction, serving as practical examples for data manipulation and analysis techniques. …”

Multi-Task Learning in Analyzing the Working capacity of MOFs by Junhui Kou (20327073)

“…However, existing studies often emphasize single-point adsorption capacity, overlooking the dynamic mechanisms associated with pressure swing adsorption (PSA) required for practical applications. The construction of this dataset aims to address this challenge and provide insights into PSA-related mechanisms in MOFs.…”

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

“…Analysis of the confusion matrix revealed a critical limitation: although the model correctly identified 785 poisonous mushrooms, it misclassified 313 as edible (false negatives), which represents an unacceptable risk in a practical application.<br> <br>Conclusion<br><br>The study concludes that the habitat variable, used in isolation, is insufficient to create a safe and reliable mushroom toxicity classification model. …”

New product development in the industry 4.0 era: a literature review and research agenda by Thiago Augusto Aniceski (22401616)

“…Our research revealed that People cluster discusses inclusion, customer involvement, and human-centric practices through I4.0 applications. Sustainable Development cluster emphasizes green operations, green training, and resource planning with digitalization. …”

A potential pitfall in the interpretation of microscope-integrated fluorescence angiography: the center-periphery effect. - raw data by Stolk (20652617)

“…The signal was quantified using tailor-made software in Python. <b>Results</b>: A clear center-periphery effect was present in most settings in both microscopes, with the highest peripheral fluorescence signal loss in the lowest MF: 100% in the Tivato and 83% in the Pentero. …”

Presentations of the Summer School - Satellite-Based Hydrological Data Assimilation by Maike Schumacher (8023076)

“…Practical sessions to use Python and Matlab for post processing satellite gravity data were given by <a href="https://www.linkedin.com/in/cakancagatay/" target="_blank">Çağatay Çakan</a> (Aalborg University, AAU) and <a href="https://www.linkedin.com/in/nooshin-mehrnegar-99baa8151/" target="_blank">Nooshin Mehrnegar</a> (Aalborg University, AAU).…”

Optimized formulas of the gravitational field of a vertical cylindrical prism by Xiao-Le Deng (8145294)

“…The new expressions for the GP, GV, and GGT of a vertical cylindrical prism using the second-order 3D Taylor series expansion and a cylindrical shell are provided for practical applications of gravity forward modeling in the Python language at the GitHub website <a href="https://www.github.com/xiaoledeng/optimized-formulas-of-gp-gv-ggt" target="_blank">https://www.github.com/xiaoledeng/optimized-formulas-of-gp-gv-ggt</a>.…”

Feature-Engineered Mouse Dynamics Dataset For Anomaly Detection by Dheeraj Reddy (21588170)

“…The dataset is suitable for advanced research and practical applications in anomaly detection, behavioral biometrics, and cyber threat analytics.…”

Electrical Tactile Dataset (Piezoelectric and Accelerometer) for textures by Dexter Shepherd (13238508)

“…This dataset aims to enhance the understanding of texture perception and improve the performance of tactile sensing systems in practical applications.</p><p dir="ltr"><b>About this file</b></p><p dir="ltr">This is a dataset made up of a piezoelectric and accelerometer tactile sensors being dragged across a surface at varying pressures. …”

<b>Environmental Footprint and Nutritional Intake of 1,000 Sichuan and Cantonese Cuisines</b> by Yin Long (8395239)

“…This resource is valuable for studies and applications aimed at promoting sustainable eating practices based on regional culinary traditions.…”

Optical Tactile (TacTip) Dataset for texture classification by Dexter Shepherd (13238508)

“…By providing both spatial and temporal dimensions of texture data, this dataset aims to enhance the understanding of texture perception and improve the performance of tactile sensing systems in practical applications.</p><p><br></p><p dir="ltr"><b>About this file</b></p><p dir="ltr">This is a dataset made up of optical tactile sensors being dragged across a surface at varying pressures. …”

Scipy2025: Empowering Learners: Teaching Reproducible Research with Open-Source Tools by Deborah Khider (4673140)

“…Designed for geoscientists but applicable across disciplines, LeapFROGS empowers researchers to develop coding skills, adopt reproducible practices, and streamline scientific workflows. …”