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.…”

<b>Myelin oligodendrocyte glycoprotein (MOG) Degradome Foundation Atlas</b> by 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. …”

Western Oregon Wet Dry (WOWTDR) annual predictions of late summer streamflow status for western Oregon, 2019-2021 by 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 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). …”

<b>EEG dataset for multi-class Chinese character stroke and pinyin vowel handwriting imagery (16 subjects, CCS-HI & SV-HI)</b> by 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). …”

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

“…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …”

Sonification of Warming Stripes by Christopher Harrison (9448751)

“…<p dir="ltr">We present a sonification of the temperature anomalies (deviations from an average, reference value) on the Earth’s near-surface over the period 1930–2024. …”

Morphological profiles of U-2 OS cells with cDNA-mediated overexpression by Jesko Wagner (19934877)

“…</p><p dir="ltr">Morphological profiles are present in the AnnData's <code>X</code> slot, other features that do not quantify a single cell's morphology directly are placed in <code>obsm</code>.…”

Data by Yasir Çatal (20329092)

“…Flexibility of Intrinsic Neural Timescales During Distinct Behavioral States<h2>Description of the data and file structure</h2><p dir="ltr">The github page <a href="https://github.com/duodenum96/acw_behavior" target="_blank">https://github.com/duodenum96/acwbehavior</a> contains the MATLAB code to replicate the figures. The numerical data necessary for the figures are presented here. …”

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

“…<p dir="ltr">Data and code supporting work presented in article.</p><p dir="ltr">File: 01_preprocessing_macro.ijm</p><p dir="ltr">Description: A simplified macro outlining time-lapse image pre-processing prior to mitochondria-tracking analysis in TrackMate (Image J). …”

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). …”

Extreme delta - pydeltaRCM models by Octria Adi Prasojo (10507373)

“…<p dir="ltr">The folder contains the Python codes (.ipynb) to run the pyDeltaRCM models of extreme events impact on delta morphodynamics across five climate regions, along with the modelling results (.nc) presented by the same authors in the manuscript.…”

Influence of vibrational motion and temperature on Interatomic Coulombic electron capture - Dataset by Elena M. Jahr (16313754)

“…The python libraries <code>matplotlib</code>, <code>numpy</code> and <code>scipy</code> are needed.…”

ML model for prediction of postpartum rehospitalization in pregnant women/new mothers using readily obtainable pre-pregnancy or early pregnancy sociodemographic and health determin... by Martin Frasch (5754731)

“…</li><li>This model delivers a 3,492% ROI over 5 years with $325,080 annual net benefit per 10,000 deliveries in the U.S.A.</li><li>Here, we present an open-access Python code including the ML model for inference to facilitate prospective utilization of the developed model and further study of the nuMoM2b and similar datasets with machine learning approaches.…”

Vector-to-Image Converted Building Footprints or Building Change Detection by anonymous (20480480)

“…</p><p dir="ltr">1．<b>Python environment</b>: requirements.txt</p><p dir="ltr">2．…”

Supplementary Material to '<i>Mechanical instabilities and snapping phenomena in helical rods with perversion</i>' by Émilien Dilly (20415464)

“…</p><p dir="ltr"><b>Shooting calculation</b>: Shooting method, the Python code.</p><p dir="ltr"><b>Supplemental video 1</b>: Video illustrating a chirality inversion in the biphasic model, with plots in both the <i>(z,n)</i> and <i>(kappa,tau)</i> planes.…”

Supplementary materials to 'Critical phenomena in helical rods with perversion' by Émilien Dilly (20415464)

“…</p><p dir="ltr"><b>Shooting calculation</b>: Shooting method, the Python code.</p><p dir="ltr"><b>Supplemental video 1</b>: Video illustrating a chirality inversion in the biphasic model, with plots in both the <i>(z,n)</i> and <i>(kappa,tau)</i> planes.…”

Replication Package: "The SBOM Gap: Adoption and Compliance in Open Source Software" by anonymous author (14191683)

“…<p dir="ltr">Replication Package Structure:</p><p dir="ltr">The replication package contains all data and scripts necessary to reproduce the analyses and results presented in this study.</p><p><br></p><p dir="ltr">replication_package/</p><p>│</p><p dir="ltr">├── data/</p><p dir="ltr">│ ├── sbom_repo_paths.csv # Repository paths and metadata for analyzed projects</p><p dir="ltr">│ ├── sbom_project_features.csv # Extracted features for SBOM projects</p><p dir="ltr">│ ├── non_sbom_project_features.csv # Extracted features for non-SBOM projects</p><p dir="ltr">│ └── SBOM_files/ # Raw SBOM files collected from selected repositories</p><p>│</p><p dir="ltr">└── code/</p><p dir="ltr"> ├── RQ1_regression/ # Scripts for regression analysis (RQ1)</p><p dir="ltr"> │ ├── regression.R # Main regression analysis script</p><p dir="ltr"> │ └── common.R # Shared functions for data filtering and formatting</p><p> │</p><p dir="ltr"> └── RQ2_compliance/ # Scripts for compliance and coverage checks (RQ2)</p><p dir="ltr"> ├── check_component_name.py</p><p dir="ltr"> ├── check_component_version.py</p><p dir="ltr"> ├── check_supplier.py</p><p dir="ltr"> ├── check_unique_identifiers.py</p><p dir="ltr"> ├── check_sbom_author.py</p><p dir="ltr"> ├── check_timestamp.py</p><p dir="ltr"> ├── check_dependency.py</p><p dir="ltr"> ├── check_hash.py</p><p dir="ltr"> ├── check_lifecycle_phase.py</p><p dir="ltr"> ├── check_license.py</p><p dir="ltr"> ├── check_vex.py</p><p dir="ltr"> ├── check_transitive_dependency.py</p><p dir="ltr"> ├── check_circular_dep.py</p><p dir="ltr"> └── check_all_7_min_req_files.py</p><p dir="ltr"><br></p><p dir="ltr"><br></p><p><br></p><p dir="ltr">Folder Descriptions:</p><p><br></p><p dir="ltr">data/: Contains datasets and raw SBOM files used in the analysis.…”

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>.…”

Learning States by Rui Varandas (11900993)

“…<br></p><p dir="ltr"><b>HCI features</b> encompass keyboard, mouse, and screenshot data. Below is a Python code snippet for extracting screenshot files from the screenshots CSV file.​…”