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

“…</p><p dir="ltr"><b>Data Source:</b> Glasgow City Geoportal ([link to source])</p><h4>Figure 2: Built-Up Area Map</h4><p dir="ltr">Map showing Glasgow City boundary and built-up areas.…”

Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 by Jordan Waters (21620558)

“…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …”

CrossDI: A comprehensive dataset crossing three databases for calculating disruption indexes by Shuo Xu (21186653)

“…<h3><b>CrossDI-Dataset</b></h3><p dir="ltr">CrossDI(Cross-source Disruption Indexes) Dataset</p><p dir="ltr">1.Overview</p><p dir="ltr">Python tools and curated data to compute disruption-style metrics in yearly windows. …”

Wolframin Degradome Foundation Atlas by Axel Petzold (7076261)

“…To extract, use the following command in a bash terminal:</p><pre><pre>tar -xvJf Wolframin_Degradome_Foundation_Atlas_v3.tar.gz<br></pre></pre><p dir="ltr"><b>Codes</b><br>Dataset generation is fully reproducible using three open-source tools: <b>Python, BLAST, and SAS</b>. Accompanying scripts are included in the repository and are fully documented for transparency. …”

Data Sheet 1_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

“…BOTANIC, developed using Python and open-source libraries, will integrate with Telegram and utilize advanced NLP techniques to analyze caregiver conversations and detect signs of burden. …”

Globus Compute: Federated FaaS for Integrated Research Solutions by eRNZ Admin (6438486)

“…In particular, he works on tools to streamline data analysis pipelines and develops integrated research solutions that incorporate HPC resources into scientific processes. …”

Data Sheet 2_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

“…BOTANIC, developed using Python and open-source libraries, will integrate with Telegram and utilize advanced NLP techniques to analyze caregiver conversations and detect signs of burden. …”

Data Sheet 4_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

“…BOTANIC, developed using Python and open-source libraries, will integrate with Telegram and utilize advanced NLP techniques to analyze caregiver conversations and detect signs of burden. …”

Data Sheet 3_Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study.docx by Ravi Shankar (103040)

“…BOTANIC, developed using Python and open-source libraries, will integrate with Telegram and utilize advanced NLP techniques to analyze caregiver conversations and detect signs of burden. …”

MCCN Case Study 1 - Evaluate impact from environmental events/pressures by Donald Hobern (21435904)

“…filters=eyJTVEFURSI6WyJBQ1QiXX0=&location=-35.437128,149.203518,11.00</a></li><li><b>caladenia_act.csv</b> - Distribution records for orchids in the genus <i>Caladenia</i> between 1990 and present from the ALA in CSV format: <a href="https://doi.org/10.26197/ala.1e501311-7077-403b-a743-59e096068fa0" target="_blank">https://doi.org/10.26197/ala.1e501311-7077-403b-a743-59e096068fa0</a></li></ul><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>Group orchid species records by species</li><li>Prepare STAC metadata records for each data source (separate records for the distribution data for each orchid species)</li><li>Load data cube</li><li>Mask orchid distribution records to boundaries of ACT</li><li>Calculate the proportion of distribution records for each species occurring inside and outside protected areas</li><li>Calculate the proportion of distribution records for each species occurring in areas with each class of vegetation cover</li><li>Report the apparent affinity between each species and protected areas and between each species and different classes of vegetation cover</li></ol><h4><b>Notes</b></h4><ul><li>No attempt is made here to compensate for underlying bias in the areas where observers have spent time recording orchids. …”

Fertility Rates in Mexico by State (1950–2070) by Montserrat Mora (20430644)

“…</li><li>A <code>requirements.txt</code> file specifying the necessary Python libraries for running the script.</li></ol><p dir="ltr">Both the population and birth data were sourced from the National Population Council of Mexico (CONAPO)<a href="https://datos.gob.mx" rel="noopener" target="_new"></a>. …”

Spatiotemporal Soil Erosion Dataset for the Yarlung Tsangpo River Basin (1990–2100) by peng xin (21382394)

“…The corrected bias functions were then applied to adjust the years (2020–2100) of daily rainfall data using the "ibicus" package, an open-source Python tool for bias adjustment and climate model evaluation. …”

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

“…</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. …”

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

“…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>.…”

<b>InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving</b> by Xiyan Jiang (20320758)

“…The tools for navigating InterHub involve the following three parts:</p><ol><li>0_data_unify.py converts various data resources into a unified format for seamless interaction event extraction.…”

Fast, FAIR, and Scalable: Managing Big Data in HPC with Zarr by Alfonso Ladino (21447002)

“…(NEXRAD), using open-source tools from the Python ecosystem such as Xarray, Xradar, and Dask to enable efficient parallel processing and scalable analysis. …”

<b>Alpha B crystallin (CRYAB) Degradome Foundation Atlas</b> by Axel Petzold (7076261)

“…</p><h4><b>Reproducibility</b></h4><p dir="ltr">All datasets can be regenerated using open-source tools (Python, BLAST, SAS). Fully documented scripts are available [3] to ensure transparency, reproducibility, and adaptability across computational environments, following the methodology described in [2].…”

World Heritage documents reveal persistent gaps between climate awareness and local action by Yang Chen (20756166)

“…All tools support customizable labels and visualization of confidence intervals. …”

Honeybee flight data after encountering a detour by Anna Hadjitofi (17540058)

“…</p><h3>Data & Code</h3><ul><li>A python script has been provided (<i>generate_plots_JEB.py</i>) that can be used to reproduce the figures in the paper. …”

A Quick Guide to Prompt Engineering: Using Generative AI Wisely in Learning and Work by Uce Indahyanti (21324434)

“…</i>This version includes enhanced sections on LLMs, Python-based code examples, and expanded ethical guidance.…”