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

“…This model was trained using data collected with the Flow Permanence (FLOwPER) application. …”

Table 1_AI-enabled pipeline for virus detection, validation, and SNP discovery from next-generation sequencing data.xlsx by Abozar Ghorbani (5081753)

“…SNP discovery is performed using a custom Python script that compares the entire population of sequenced viral reads to a reference genome. …”

<i>In vivo</i> identification of <i>Toxoplasma gondii</i> antigenic proteins and <i>in silico</i> study of their polymorphism. by Julie DENIS (19696753)

“…</p><h3>Annotation of Filtered Data</h3><p dir="ltr">The <b>Filtered_Variants</b> file was annotated using the Python script <b>MutationRateCalculation.py</b> to distinguish between silent and non-silent SNPs and to calculate the mutation rate of each SNP across different <i>T. gondii</i> strain types. …”

Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

“…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …”

Executable Books in Robotics by Murilo Marinho (21508857)

“…In this work, to showcase the results of the Open Research Fellowship 24-25 in the field of Robotics, I show one way to help bridge the theory-practice gap creating a fully open CC BY-NC-SA 4.0 licensed executable textbook in Python, based on Jupyter notebooks. The textbook features, initially, five basic lessons that are currently used in the Robotics Manipulator PGT unit. …”

LNP drug delivery image data by Philip Harrison (8899735)

“…We then utilize the same features combined with: a long-short-term memory (LSTM) network encoding temporal dynamics (approach 2); and time-series feature extraction using the python package tsfresh followed by principal component analysis and gradient boosting machines (approach 3), to reach a final classification or regression result. …”

Overview of generalized weighted averages. by Nobuhito Manome (8882084)

“…GWA-UCB1 outperformed G-UCB1, UCB1-Tuned, and Thompson sampling in most problem settings and can be useful in many situations. The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…”

PRION Degradome Foundation Atlas 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 Python scripts are included in the repository to ensure transparency, reproducibility, and adaptability across computational environments, following the methodology described in [1].…”

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

“…</p><p dir="ltr"><b>Contents:</b></p><ul><li><b>Python Scripts:</b> Scripts used for data preprocessing, analysis, and generation of plots. …”

Supplementary material for "Euler inversion: Locating sources of potential-field data through inversion of Euler's homogeneity equation" by 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. …”

Image 1_Pheochromocytoma metastasis to the central nervous system: a case report and systematic review.png by Justyna Małgorzata Fercho (22116412)

“…Data on demographics, symptoms, imaging, treatments, and outcomes were extracted and descriptively analyzed using Python-generated graphics.</p>Results<p>This review identified 18 cranial (1948–2022) and 60 spinal (1977–2024) metastasis cases from 53 studies. …”

Data by Yasir Çatal (20329092)

“…The numerical data necessary for the figures are presented here. We present the data in two formats, .mat format for MATLAB users and .csv format as well. …”

Sonification of Growing Black Hole by Rose Shepherd (20328444)

“…We used the open source Python package STRAUSS to produce the sonification (Trayford and Harrison 2023). …”

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…<br></li></ul></li><li><b>Imputation_Air_Pollutants_NABEL.py</b> (Python Script)</li><li><ul><li>The Python code used to perform all data cleaning, imputation, plausibility checks, and calculations, generating the Imputed_AP_Data_Zurich_2010-25 sheet and associated stats/legend info from the raw data. …”

<b>Alpha-Synuclein Degradome Foundation Atlas</b> by Axel Petzold (7076261)

“…</p><p dir="ltr">Whether your work involves biomarker development, precision neurology, or machine learning, this dataset provides structured, labelled inputs that are ideal for:</p><ul><li>Training supervised models to detect or predict cleavage sites</li><li>Feature extraction from protein sequences</li><li>Clustering or classification of fragment types by mutation or disease context</li><li>Integrating with omics data for multimodal prediction tasks</li></ul><p dir="ltr">Dataset Features:</p><ul><li>Annotated α-synuclein proteolytic fragments</li><li>Includes wild-type and clinically relevant variants</li><li>Tab-delimited ASCII format for compatibility with Python, R, and ML frameworks</li><li>Linked SAS and Python scripts for pipeline reproducibility and updates</li><li>Ready-to-use for computational modelling, AI training, and bioinformatics workflows</li></ul><p dir="ltr">The dataset was generated using a reproducible codes involving Python, BLAST, and SAS. …”

Core-Based Smart Sampling Framework: A Theoretical and Experimental Study on Randomized Partitioning for SAT Problems by DURGHAM QARALLEH (21904172)

“…The central contribution is the formalization of core structures and their use in randomized boundary sampling. We provide theoretical guarantees on complexity reduction and probabilistic completeness, apply the method to SAT instances, and evaluate its performance using experimental Python implementations. …”

Endothelial cells stably infected with recombinant Kaposi’s sarcoma-associated herpesvirus display distinct viscoelastic and morphological properties by Majahonkhe Shabangu (17340538)

“…<br>------------------------------------------------------------------------------------------------------------------</p><p dir="ltr">File: 02_compute_logplot_msd.py</p><p dir="ltr">Description: Python code to import csv track files, compute i-msd and e-msd (using trackpy), and plot 2 sets of data at a time (e.g. …”

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.…”

Source Data for Figures in Spatial colocalization and molecular crosstalk of myofibroblastic CAFs and tumor cells shape lymph node metastasis in oral squamous cell carcinoma by Ken Furudate (13018584)

“…This deposit provides the specific data subsets or processed values used to generate the final figures presented in our study.…”

Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2) by Tahir Bhatti (20961974)

“…</p><p dir="ltr"><b>Note:</b></p><p dir="ltr">Analysis was performed using a custom Python-based bioinformatics pipeline developed for <b>high-throughput surveillance of pemivibart (VYD2311) escape mutations in SARS-CoV-2</b>. …”