Supplemental code by Donald Warren (19435198)

“…Python code to perform many of the calculations presented in the manuscript…”

Code for the HIVE Appendicitis prediction modelRepository with LLM_data_extractor_optuna for automated feature extraction by Anoeska Schipper (18513465)

“…<p dir="ltr">This repository contains the code and trained model for developing the HIVE (History, Intake, Vitals, Examination) machine learning model for predicting appendicitis in patients presenting with acute abdominal pain at the Emergency Department (ED).…”

Code and data for reproducing the results in the original paper of DML-Geo by Pengfei CHEN (8059976)

“…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”

Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

“…</p><p dir="ltr"><b>What is containing this repository</b></p><p dir="ltr">Data, MATLAB, R and Python code files in respective dedicated folders, specifically:</p><ul><li>Data: the 9 datasets that you need to run either of the MATLAB, R or Python scripts.…”

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research by Temitope Omogbene (18615415)

“…</li></ul><p dir="ltr">Importantly, the <b>file names of each dataset</b> presented here were <b>renamed from their original Google Drive file paths</b> (referenced in the Python Google Colab scripts) to ensure <b>sequential, descriptive, and logically ordered naming</b>. …”

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

“…appeared very motivated In the first day, we learned about global hydrological modelling described by <a href="https://www.linkedin.com/in/henrik-madsen-a1841936/" target="_blank">Henrik Madsen</a> (DHI); a great introduction of satellite gravity and its application in hydrology and climate science was given by <a href="https://www.linkedin.com/in/guillaume-ramillien-3292b42a/" target="_blank">Guillaume Ramillien</a> Centre National de la Recherche Scientifique, CNRS); our third guest lecturer <a href="https://www.linkedin.com/in/anke-fluhrer-77b6862a3/" target="_blank">Anke Fluhrer</a> (German Aerospace Center, DLR) presented soil moisture remote sensing and excellent tools to retrieve the data for hydrological applications; <a href="https://www.linkedin.com/in/maike-schumacher-814307122/" target="_blank">Maike Schumacher</a> (Aalborg University, AAU) gave a presentation about physical data assimilation through the introduction of a simple hydrological model and connected it to distributed hydrological models. …”

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

Processing parameters. by Hosamane Guruswamy Prashantha Kumar (21433265)

“…An improvement of 33% occurred in the sliding performance after LSP treatment because the COF reduced from 0.30 to 0.20. The constructed Python-based digital twin model employed multi-variable regression analysis for 30 experimental trials yielding an R² value of 0.91 and an RMSE value of 0.026 mm³/N·m. …”

Engineering Various Components of a Magneto-Optical Trap and Simulation of Ultracold Atoms in a Harmonic Potential for the Formation of Bose-Einstein Condensate by Rahul Das (22607879)

“…Key experimental components include a magnetic-field compensator, and RF antenna integrated with a Python-based GUI control system. Complementary simulations model atom dynamics in a harmonic potential and cloud evolution under quenches, outlining pathways toward achieving a Bose–Einstein condensate. …”

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>. …”

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" by FirstName LastName (20554465)

“…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…”

py-rocket: A Docker image to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing in the earth sciences by Eli Holmes (20363193)

“…</p><p><br></p><p dir="ltr">A sturdy Docker stack relies on a solid base image. Here we present work on the py-rocket base image and illustrate how this enhances collaboration while providing familiar IDEs and environments to both R and Python users. …”

Integrating Scientific GUI Applications into Autoscaled Science Gateway Environments by Julien Chastang (640650)

Workflow of a typical Epydemix run. by Nicolò Gozzi (8837522)

“…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …”

A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists by Xiangliang Zhang (19460047)

“…In Chapter 2, we guide chemists through setting up a Python environment tailored for data science applications in chemistry. …”

Designing an online Introduction to Programming w/GenAI (EDUC90970_2025_S2) by Jean Lee (20590241)

Flowchart describing the AI-LES program. by Evan Mitchell (20995743)

“…Tools exist to automate the retrieval of relevant journal articles, but pulling data out of those articles is currently still a manual process. In this article, we present a proof-of-concept Python program that leverages artificial intelligence (AI) tools (specifically, ChatGPT) to parse a batch of journal articles and extract relevant results, greatly reducing the human time investment in this action without compromising on accuracy. …”

Topological and functional comparison of the NeKo networks created for the medulloblastoma subgroups using the HURI databases. by Marco Ruscone (11747264)

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

“…</li><li>Plot data derived from the above data sources.</li><li>Python code to generate figures from the plot data.…”