Scipy2025: Empowering Learners: Teaching Reproducible Research with Open-Source Tools حسب Deborah Khider (4673140)

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

"…The package includes the unified parameter set {κA, E0, f_ent, A_CP}, the GoP decoherence kernel, ΛCDM baselines, and standardized analysis tools. Source code is available at:</p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Void-Galaxy-Testbed</b></p><p dir="ltr"><br>_____________________________________________________<br><br>This preprint examines two newly released observational studies of isolated void-center galaxies—<b>VGS 12</b> (arXiv:2511.00235) and <b>NGC 6789</b> (arXiv:2511.07041)—and evaluates them against the <i>a priori</i>, pre-DESI predictions of the <b>Gravity of Probability (GoP)</b> framework. …"

Code and data for evaluating oil spill amount from text-form incident information حسب Yiming Liu (18823387)

"…The code is written in Python and operated using Jupyter Lab and Anaconda. …"

Data and code for: A century of reforestation reduced anthropogenic warming in the eastern United States حسب Mallory Barnes (9756051)

Data and Code for Empirical Validation of Smart Elderly Care Service Platform Evolutionary Game Study حسب Yanyu Fu (22026817)

"…</li><li><b>Running Environment:</b></li><li><ul><li>Python 3.13</li><li>Jupyter Notebook environment</li><li>All necessary libraries (e.g., NLTK, Pandas, Matplotlib) are listed in the <code>requirements.txt</code> file.…"

R codes and curated dataset for “EnoLEX: A Diachronic Lexical Database for the Enggano Language” حسب Gede Primahadi Wijaya Rajeg (14592023)

"…</p><blockquote><b><i>EnoLEX</i></b><i> represents a network of independent research materials consisting of a </i><a href="https://doi.org/10.25446/oxford.28295648.v1" rel="noreferrer" target="_blank"><i>source dataset</i></a><i>, this repository of source R codes and the curated data, the </i><a href="https://enggano.shinyapps.io/enolex/" rel="noreferrer" target="_blank"><i>online database</i></a><i>, and a conference </i><a href="https://doi.org/10.25446/oxford.27013864.v1" rel="noreferrer" target="_blank"><i>paper</i></a><i>.…"

<b>VISION — an open-source software for automated multi-dimensional image analysis of cellular biophysics</b> حسب Erdinc Sezgin (10714689)

"…Here, we present VISION, a stand-alone software based on Python for spectral analysis with improved applicability. …"

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

"…</p><h2>License</h2><p dir="ltr">All Python source code (including <code>.py</code> and <code>.ipynb</code> files) is made available under the MIT license. …"

<b>MSLU-100K: A multi-source land use dataset of Chinese major cities</b> حسب Yao Yao (7903457)

"…<p dir="ltr">The project includes the code of a deep learning model related to the paper "MSLU-100K: A Multi-Source Land Use Dataset for Major Cities in China". …"

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

"…The <b>innovations</b> and <b>steps</b> in Case 3, including data download, sample generation, and parallel computation optimization, were independently developed and are not dependent on the GeoCube’s code.</p><h2>Requirements</h2><p dir="ltr">The codes use the following dependencies with Python 3.8</p><ul><li>torch==2.0.0</li><li>torch_geometric==2.5.3</li><li>networkx==2.6.3</li><li>pyshp==2.3.1</li><li>tensorrt==8.6.1</li><li>matplotlib==3.7.2</li><li>scipy==1.10.1</li><li>scikit-learn==1.3.0</li><li>geopandas==0.13.2</li></ul><p><br></p>…"

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

"…The <b>innovations</b> and <b>steps</b> in Case 3, including data download, sample generation, and parallel computation optimization, were independently developed and are not dependent on the GeoCube’s code.</p><h2>Requirements</h2><p dir="ltr">The codes use the following dependencies with Python 3.8</p><ul><li>torch==2.0.0</li><li>torch_geometric==2.5.3</li><li>networkx==2.6.3</li><li>pyshp==2.3.1</li><li>tensorrt==8.6.1</li><li>matplotlib==3.7.2</li><li>scipy==1.10.1</li><li>scikit-learn==1.3.0</li><li>geopandas==0.13.2</li></ul><p><br></p>…"

Fig 1 - حسب Yitong Ma (8144697)

Workflow of T cell activation analysis. حسب Yitong Ma (8144697)

<b>Data and Code from 'The Perfect and Legitimate Bribe': A Transparent Record of Human-AI Collaboration in Legal Scholarship</b> حسب Joshua Stern (21748181)

"…The code can be executed using free and open-source software such as **Jupyter Notebook**, **JupyterLab**, or a cloud-based service like **Google Colab**.…"

Data, Codes, and Supplementary Figures for <b><i>"Leveraging Vision Capabilities of Multimodal LLMs for Automated Data Extraction from Plots"</i></b> حسب Dane Morgan (796750)

"…These files contain the extracted data points in CSV-like format.</li><li><code><strong>*.out_code</strong></code> - Python code generated by the LLM to recreate the source plot using the extracted data.…"

Data and Code for Visualizing Compositional Analysis to Identify Reference Compositions, Thermoelectric Properties of Reference Materials, and Property Distributions in BiTe-Based... حسب Nirma Kumari (21679616)

Anisotropic Skyrmion and Multi-<i>q </i>Spin Dynamics in Centrosymmetric Gd₂PdSi₃: Data and Code حسب Matjaž Gomilšek (14278739)

"…Python script file<br>*.dat, [no extension] ... ASCII data file. …"

The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025) حسب zixuan yuan (17602152)

"…</p><h3><b>Installation</b></h3><h4><b>install Dependencies</b></h4><p dir="ltr">Our artifact depends on several packages, please run the following command to install all necessary dependencies.</p><pre><pre>sudo apt-get install -y wget git build-essential python3 python python-pip python3-pip tmux cmake libtool libtool-bin automake autoconf autotools-dev m4 autopoint libboost-dev help2man gnulib bison flex texinfo zlib1g-dev libexpat1-dev libfreetype6 libfreetype6-dev libbz2-dev liblzo2-dev libtinfo-dev libssl-dev pkg-config libswscale-dev libarchive-dev liblzma-dev liblz4-dev doxygen libncurses5 vim intltool gcc-multilib sudo --fix-missing<br></pre></pre><pre><pre>pip install numpy && pip3 install numpy && pip3 install sysv_ipc<br></pre></pre><h4><b>Download the Code</b></h4><p dir="ltr">Download <b>DD4AV</b> from the Figshare website to your local machine and navigate to the project directory:</p><pre><pre>cd DD4AV<br></pre></pre><h4><b>Configure Environment and Install the Tool</b></h4><p dir="ltr">For convenience, we provide shell scripts to automate the installation process. …"

A Human Brain Map of Mitochondrial Respiratory Capacity and Diversity حسب Eugene V. Mosharov (20543317)

"…Supplementary File 1 | Extended discussion of the loadings for MRI-based metrics and mitochondria biology from Extended Table 1. Source Data 1 | Analysis of snRNAseq data. Detailed markdown of the single nucleus RNA sequencing (snRNAseq) analysis, including the code for data pre-processing, visualization, cluster identification and mitochondrial analysis. …"

<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

"…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…"