dataset حسب Jingyi Chang (20404166)

"…<p dir="ltr">The R and Python code used to perform the analysis and generate the results and visualizations presented in the forest canopy height, and the related data and results produced in the research analyses.…"

Moulin distributions during 2016-2021 on the southwest Greenland Ice Sheet حسب Kang Yang (7323734)

"…</p><p><br></p><ul><li>00_Satellite-derived moulins: Moulins directly mapped from Sentinel-2 imagery, representing actual moulin positions;</li><li>01_Snapped moulins: Moulins snapped to DEM-modeled supraglacial drainage networks, primarily used for analyses;</li><li>02_Moulin recurrences: Recurring moulins determined from the snapped moulins;</li><li>03_Internally drained catchments: Internally drained catchment (IDC) associated with each moulin;</li><li>04_Surface meltwater runoff: surface meltwater runoff calculated from MAR for the study area, elevation bins, and IDCs; </li><li>05_DEM-derived: Topographic features modeled from ArcticDEM, including elevation bins, depressions and drainage networks;</li><li>06_GWR: Variables for conducting geographically weighted regression (GWR) analysis;</li></ul><p><br></p><ul><li>Code_01_Mapping moulins on the southwestern GrIS.ipynb: A Jupyter Notebook to analyze moulin distributions, reproducing most of the analyses and figures presented in the manuscript using the provided datasets;</li><li>Code_02_pre1_calculate Strain Rate from XY ice velocity.py: A preprocessing Python script to calculate strain rate for the GWR analysis;</li><li>Code_02_pre2_calculate Driving Stress from ice thickness and surface slope.py: A preprocessing Python script to calculate driving stress for the GWR analysis;</li><li>Code_02_GWR analysis.ipynb: A Jupyter Notebook to conduct the GWR analysis using the provided datasets.…"

M-SGWR model حسب M. Naser Lessani (17817475)

"…The repo contains all the necessary information, including the python code "M-SGWR", datasets and the instruction of how to reproduce the results presented in the article. …"

Supporting data for "Optimisation of Trust in Collaborative Human-Machine Intelligence in Construction" حسب Hao Chen (9696848)

"…The first folder contains Scopus-derived data alongside analytical results that substantiate the figures presented in Chapter 1. The second folder mirrors the structure of the first, encompassing Scopus data and Python source code used to generate the visualizations featured in Chapter 2. …"

Attention and Cognitive Workload حسب Rui Varandas (11900993)

"…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…"

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

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

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

"…</p><h3>Running the Code</h3><p dir="ltr">· To run the Python code (preferably in Jupyter Notebook), ensure that all dependencies are installed by running: <i>pip install pandas pgmpy</i>. …"

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

"…</li><li><b>Supplementary Video S3 (</b><i>S3_Video_Damped_oscillations.avi</i><b>):</b> High-speed footage of the damped oscillations used for the quantitative analysis presented in the paper.</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).…"

Olson et al Muscle spindles provide flexible sensory feedback for movement sequences حسب William Olson (21703679)

"…</li></ul><h4><b>Code</b></h4><p dir="ltr">Accompanying Python scripts and Jupyter notebooks are included for:</p><ul><li>Data preprocessing and formatting.…"

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

"…The columns are as follows.</p><ul><li><code>v_gene</code>: V gene of each TCR clonotype</li><li><code>j_gene</code>: J gene of each TCR clonotype</li><li><code>cdr3_nt</code>: Nucleotide sequence over the CDR3 region</li><li><code>cdr3</code>: Amino acid sequence over the CDR3 region</li><li><code>templates</code>: Number of UMIs supporting the clonotype</li><li><code>sample_name</code>: Sample that the clonotype derived from.…"

Supplementary material for "Euler inversion: Locating sources of potential-field data through inversion of Euler's homogeneity equation" حسب Leonardo Uieda (97471)

"…<p dir="ltr">This repository contains the data and source code used to produce the results presented in:</p><blockquote><p dir="ltr">Uieda, L., Souza-Junior, G. …"

Supplementary Material for review (<b>Revealing the co-occurrence patterns of public emotions from social media data</b>) حسب 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. …"

Leveraging Large Language Models as Requirements Elicitation Interview Bots-all data حسب Samuel Gorsch (19947618)

"…<p dir="ltr"><b>Title:</b> Code and Supplementary Files for "Leveraging Large Language Models as Requirements Elicitation Interview Bots"</p><p dir="ltr"><b>Description:</b><br>This repository contains all code, supplementary plots, and select data files used in the master’s thesis, "Leveraging Large Language Models (LLMs) as Requirements Elicitation Interview Bots." …"

Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" حسب 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.…"

<b>Myelin oligodendrocyte glycoprotein (MOG) Degradome Foundation Atlas</b> حسب Axel Petzold (7076261)

"…</li></ul><h3>Reproducibility and Code Availability</h3><p dir="ltr">Dataset generation is fully reproducible using open-source tools:</p><ul><li>Python</li><li>SAS</li></ul><p dir="ltr">All required scripts are included in the repository and are well documented to support local replication and custom adaptations. …"

MSc Personalised Medicine at Ulster University حسب 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.…"

Western Oregon Wet Dry (WOWTDR) annual predictions of late summer streamflow status for western Oregon, 2019-2021 حسب Jonathan D. Burnett (19659601)

"…Also included is all R code and Python code needed to run and process this model.…"

Genomic Epidemiology of SARS-CoV-2 in Peru from 2020 to 2024 حسب 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). …"

Soulware-Lite حسب Abhiram Gnyanijaya (21572942)

"…It operates as middleware to intercept user inputs and LLM outputs, performing real-time semantic auditing, belief-state tracking, introspective alignment scoring (KRW, deltaΨ), and automated self-correction.…"

<b>EEG dataset for multi-class Chinese character stroke and pinyin vowel handwriting imagery (16 subjects, CCS-HI & SV-HI)</b> حسب Fan Wang (22125886)

"…Preprocessing & Trial Integrity</h3><p dir="ltr">The publicly released dataset contains raw EEG data (no preprocessing); preprocessing (via MNE-Python, code in code folder) was only conducted for model training/testing: 1–40 Hz Butterworth bandpass filtering + 50 Hz notch filtering for noise reduction, manual bad channel labeling (EEGLAB) and spherical spline interpolation (per BIDS _channels.tsv), downsampling from 1000 Hz to 250 Hz, z-score normalization per trial, and epoch extraction of the 0–4 s imagery period (for both tasks). …"