Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…The efficiency and accuracy of the proposed method is presented in details. All our simulation is performed in computation softwares, Matlab and Python. …”

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. …”

Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" by Timothy Warner (20222838)

“…</li></ul><h4>Licence:</h4><ul><li>The licence agreement for use of the codes and data.</li></ul><h4>meta-analysis:</h4><ul><li>The python script for generating the meta-analysis figures and histogram figures.…”

Global blue carbon losses from salt marshes exceed restoration gains by Yuhan Zheng (21610220)

“…<h4>This repository contains the main code used to generate the figures and results presented in the manuscript.…”

Supplementary Materials for the article: ”Damped sectorial oscillations of an acoustically levitated droplet". by Taisiia Nagorskaia (22557095)

“…</li><li><b>Supplementary Code S4 (</b><i>S4_Code_Data_processing.ipynb</i><b>):</b> Python analysis code used for automated processing and for analyzing manually extracted data from the damped oscillations (S3).…”

Attention and Cognitive Workload by Rui Varandas (11900993)

“…Experimental design</p><p dir="ltr">Two standard cognitive tasks, N-Back and mental subtraction, were conducted using PsychoPy. The N-Back task is a working memory task where participants are presented with a sequence of stimuli and are required to indicate when the current stimulus matched the one from 'n' steps earlier in the sequence, with 'n' varying across different levels. …”

Research Data and Code on Characteristics and Drivers of Plant Diversity in Viaduct Footprint Spaces of a Mountainous, High-Density City—A Case Study of Central Chongqing by Junjie Zhang (355622)

“…</li><li>Derived data including calculated plant diversity metrics and environmental factor data.</li><li>R and python code used for statistical analysis.</li></ul><p dir="ltr">Data collection was conducted through on-site field surveys in the central urban area of Chongqing, China, from April to October 2024.…”

Supplementary Material for review (<b>Revealing the co-occurrence patterns of public emotions from social media data</b>) by Yang Hua (21399140)

“…</p><p dir="ltr">This document provides a detailed explanation of how to reproduce all experimental results, figures and tables presented in the paper, and the key indicators in the abstract by using the shared datasets and source code. …”

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

“…<p dir="ltr"><b>The work presented here is a unique application and requires an understanding of the primary framework used, otherwise the application will not be understood clearly:</b><br><br><b>The full framework is presented in the main </b><a href="https://figshare.com/articles/thesis/The_Gravity_of_Probability_i_Replicating_Dark_Matter_Effects_Through_Quantum_Decoherence_Curvature_i_/29815934" rel="noreferrer" target="_blank"><b>thesis</b></a><b> (DOI: 10.6084/m9.figshare.29815934).…”

May 2024 Superstorm by Eva Weiler (18070675)

“…</i> The dataset includes the following resources:<br></p><p><br></p><p><br></p><ul><li><b>Spacecraft Data</b>:</li><li><ul><li>ACE (real-time and science)</li><li>STEREO-A (beacon)<br><br></li></ul></li><li><b>OMNI Dataset</b>:</li><li><ul><li>Hourly resolution data (observed Dst)</li><li>Minute resolution data (observed SYM-H)<br><br></li></ul></li><li><b>Position Files</b>:</li><li><ul><li>Detailed position files for various spacecraft and planets<br><br></li></ul></li><li><b>Solar Observations</b>:</li><li><ul><li>FITS files for studying active regions 13664 and 13667</li><li>Movie showing the five solar eruptions in the AIA 171 filter<br><br></li></ul></li><li><b>Remote Sensing Observations</b>:</li><li><ul><li>LASCO/C2 & C3</li><li>STEREO-A/HI1<br><br></li></ul></li><li><b>Outputs from the</b><b> </b><b>ELliptical Evolution (ELEvo) model</b><b>:</b></li><li><ul><li>Movie visualizing the propagation of CMEs through the heliosphere</li><li>Text-files containing the arrival times and speeds of the CMEs at STEREO-A and L1</li></ul></li></ul><h3>Python Scripts</h3><p dir="ltr">The Python scripts used to generate the results in this study, along with detailed instructions for their usage, are available at this GitHub repository: <a href="https://github.com/EvaWeiler/may_2024_superstorm/" rel="noopener" target="_new">https://github.com/EvaWeiler/may_2024_superstorm/</a>.…”

<b>Beyond absolute space: Modeling disease dispersion and reactive actions from a multi-spatialization perspective</b> by Shiran Zhong (14518376)

“…The following sections will guide you through the setup, data structure, code execution, expected output, and any additional notes necessary for reproducing the results presented in the manuscript.</p><p dir="ltr"><b>Table of Contents</b></p><p dir="ltr">· Requirements</p><p dir="ltr">· Data files</p><p dir="ltr">· Code structure</p><p dir="ltr">· Running the code</p><p dir="ltr">· Expected Output</p><p dir="ltr">· Troubleshooting</p><h3>==========================================================</h3><h3>Requirements</h3><p dir="ltr"><u>Operating system</u></p><p dir="ltr">· Windows 7 or higher (recommended)</p><p dir="ltr">· Ubuntu</p><p dir="ltr"><u>Software</u></p><p dir="ltr">· Python (version 2.7 or higher) or Jupyter Notebook</p><p dir="ltr">Required libraries: numpy, pandas, scipy, matplotlib, pgmpy</p><h3>Data files</h3><ul><li>Survey_data_processed_Anonymized.csv</li><li>ProtectiveAction_Anonymized.csv</li></ul><p dir="ltr">These two data files have been pre-processed from the raw survey data to support the Python code for generating Figures 3, 4, 5, and 6. …”

Supplementary Material for: The prediction of hematoma growth in acute intracerebral hemorrhage: from 2-dimensional shape to 3-dimensional morphology by figshare admin karger (2628495)

“…We employed Python software to extract shape features, and receiver operating characteristic curve analysis to assess the predictive performance of hematoma morphology for HG. …”

ISMB 2022 Poster: Web scraping pilot study for SARS-CoV-2 variants of concern dashboards by Lisa Mayer (21088034)

“…In response, many dashboards emerged to publish aggregated variant data through independent analyses using their own metrics and visualizations. To leverage knowledge across dashboards and prioritize SARS-CoV-2 variants with high public health impact, we developed a pipeline to automate the collection of data on variants of concern (VOC), variants of interest (VOI) and variants under monitoring (VUM) from relevant dashboards and generate consensus by web scraping with Python Selenium and Beautiful Soup followed by visualization in R. …”

Unfiltered TCR beta chain calls for 463 cancer samples and 587 control subjects by Yilong Li (20428445)

“…See the following instructions for reading this file using R (<a href="https://arrow.apache.org/docs/r/reference/read_feather.html">link</a>) or Python (<a href="https://docs.pola.rs/api/python/stable/reference/api/polars.read_ipc.html">link</a>).…”

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)

“…Twenty primary caregivers of ESKD patients will be recruited to use BOTANIC for 12 weeks. 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 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)

“…Twenty primary caregivers of ESKD patients will be recruited to use BOTANIC for 12 weeks. 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)

“…Twenty primary caregivers of ESKD patients will be recruited to use BOTANIC for 12 weeks. 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)

“…Twenty primary caregivers of ESKD patients will be recruited to use BOTANIC for 12 weeks. 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. …”

Predicting coding regions on unassembled reads, how hard can it be? - Genome Informatics 2024 by Amanda Clare (98717)

“…Predictions are made on the set of reads, using several prediction tools. The locations and directions of the predictions on the reads are then combined with the information about locations and directions of the reads on the genome using Python code to produce detailed results regarding the correct, incorrect and alternative starts and stops with respect to the genome-level annotation.…”

Genomic Epidemiology of SARS-CoV-2 in Peru from 2020 to 2024 by Pablo Tsukayama (22614461)

“…<p dir="ltr">This dataset compiles all code, scripts, supporting files, and figure outputs used for the analyses presented in Sobkowiak et al., Genomic Epidemiology of SARS-CoV-2 in Peru, 2020–2024 (Communications Medicine, 2025). …”