Photoelectron Metrology (LBNL Oct 2024) by Paul Hockett (100955)

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Python code for a stratified random sampling of circular economy indicators by Zahir Barahmand (18008947)

“…It ensures proportional representation by sampling approximately 5% of indicators from each SDG group while guaranteeing at least one sample per SDG when present. </p><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”

Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

Python code. by Alena Aliashkevich (19924120)

Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies by Huiying Huang (490768)

“…<p dir="ltr">This study presents a Python-based framework for analyzing calcium flux in cortical neurons, particularly in the context of Alzheimer’s disease and traumatic brain injury (TBI). …”

Python code for calculating diversity measures and correlations. by Niloufar Abhari (20384374)

Python Delimiters by Lorena A. Barba (97553)

Supplementary data for PCI-based pavement modelling: code, presentation, and additional analysis by Azam Amir (21505033)

“…<p dir="ltr"><br>This is data for PCI-based pavement modeling: code, presentation, and analysis :</p><p dir="ltr">· A link to the Python code used in the analysis,</p><p dir="ltr">· Presentation slides summarizing key findings, and</p><p dir="ltr">· Analysis results.…”

A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study. by Aisha Mahmoud (20623732)

A list of all facial muscle movements mentioned in the catFACS manual [14] and considered in our present study. by Aisha Mahmoud (20623732)

Using Docker images to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing by Elizabeth Holmes (16706432)

Catalogue of compact radio sources in Messier-82 from e-MERLIN observations by Sibongumusa Shungube (21197363)

“…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …”

Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

“…</p><p dir="ltr">This repository contains code to accompany the paper:</p><p><br></p><p dir="ltr">Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS</p><p><br></p><p dir="ltr">Consult the paper for further details and explanation of what is included in this repository.…”

Refinement analysis of the content presentation module. by Jing He (58446)

Example sequences from the case study. by Pradip Kumar Singh (20875050)

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Data for "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" by Timothy Warner (20222838)

“…<h2>Description</h2><p dir="ltr">This dataset accompanies the publication "A hollow fiber membrane permeance evaluation device demonstrating outside-in and inside-out performance differences" and includes experimental data used to produce the figures in the article. The study presents a new device that can measure the flux and permeance of individual or multiple hollow fiber membranes in both the outside-in and inside-out orientations, partnered with a python-based open-source permeance analysis software. …”

2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

“…<p dir="ltr">Python scripts, Jupyter notebooks, and MATLAB code demonstrate functionalities such as re-colorization, de-colorization, contrast enhancement, re-staining, and stain separation on test images using the 2D orthogonal planes split. …”

PyNoetic’s unique pick-place configurable flowchart that offers a no-code option for non-programmers. by Gursimran Singh (575288)

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