Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 حسب 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. …"

Code حسب Baoqiang Chen (21099509)

"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"

Core data حسب Baoqiang Chen (21099509)

"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"

software code of NeoDesign حسب Wenqian Yu (19730101)

"…<h2>Implementation and Dependencies</h2><p dir="ltr">neoDesign was developed with python (recommend>3.9) and shell (bash) language. …"

Simulation Code and Raw Data حسب Melih Özkurt (22278520)

"…<p dir="ltr">Reproducible code (Python) implementing a symmetrized split-step Fourier method (SSFM), with configuration files for all scans. …"

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.…"

Table & Figure.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks حسب NORLIZA BINTI MOHAMED (20739875)

"…Raw and Processed Data</p> <p><br></p> <p>EEG brainwave recordings (raw and preprocessed signals)</p> <p><br></p> <p>Neurofeedback score datasets ( Neuron-Spectrum.NET )</p> <p><br></p> <p>Statistical analysis data (e.g., SPSS, MATLAB, or Python files)</p> <p><br></p> <p>Cognitive achievement test scores and student performance data</p> <p><br></p> <p><br></p> <p><br></p> <p>2. …"

Raw Data EEG.pdfBrainwaves and Higher-Order Thinking: An EEG Study of Cognitive Engagement in Mathematics Tasks حسب NORLIZA BINTI MOHAMED (20739875)

"…Raw and Processed Data</p> <p><br></p> <p>EEG brainwave recordings (raw and preprocessed signals)</p> <p><br></p> <p>Neurofeedback score datasets ( Neuron-Spectrum.NET )</p> <p><br></p> <p>Statistical analysis data (e.g., SPSS, MATLAB, or Python files)</p> <p><br></p> <p>Cognitive achievement test scores and student performance data</p> <p><br></p> <p><br></p> <p><br></p> <p>2. …"

PYSEQM 2.0: Accelerated Semiempirical Excited-State Calculations on Graphical Processing Units حسب Vishikh Athavale (12623809)

"…We report the development and implementation of electronic excited-state capabilities for semiempirical quantum chemical methods at both the Configuration Interaction Singles and Time-Dependent Hartree–Fock levels of theory, integrated within the PYSEQM 2.0 software package (https://github.com/lanl/PYSEQM). …"

Replication Package حسب Fatemeh Hadadi (14651705)

"…</p><p dir="ltr"><br>Requirements:</p><p><br></p><ul><li>Python3 (3.12 is recommended)</li></ul><p dir="ltr">Please consult the file README.md for detailed information.…"

A Fully Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture حسب Nagarajan Kandasamy (8400168)

"…QUANTISENC’s software-defined hardware design methodology allows the user to train an SNN model using Python and evaluate performance of its hardware implementation, such as area, power, latency, and throughput. …"

Data sets and coding scripts for research on sensory processing in ADHD and ASD حسب Vesko Varbanov (9687029)

"…</p><h4>Contents</h4><p dir="ltr">The repository includes:</p><ul><li>Questionnaire data (ASRS, BAPQ)</li><li>Visual orientation discrimination thresholds (vertical and oblique)</li><li>Demographic variables (age, gender)</li><li>Clinical vs. non-clinical group labels</li><li>Propensity score matching files and reproducible Python code</li><li>JASP analysis files and outputs</li><li>Study documentation and methodological details</li></ul><p dir="ltr">These data support the study’s finding that ADHD and ASD show distinct sensory signatures: clinical ADHD was associated with reduced oblique sensitivity, while clinical ASD showed enhanced vertical discrimination relative to matched non-clinical controls. …"

Computational performance analysis script. حسب Le Qi (8859521)

"…<p>Python implementation for computational performance evaluation and timing analysis.…"

Supporting data for "Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages" by Laugesen et al. (2025) حسب Richard Laugesen (6480371)

"…</p><p dir="ltr">Dataset includes compressed Python Pickle files containing Dictionaries of NumPy arrays and metadata for each figure. …"

Data and software for "Social networks affect redistribution decisions and polarization" حسب Milena Tsvetkova (11217969)

"…</p><p dir="ltr">The repository contains data in .csv and .xlsx format, model code in .nlogox Netlogo format, analysis code in .ipynb Jupyter notebooks, and helping code in .py Python files.</p><p dir="ltr"><br></p>…"

Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 حسب Andrew Rogers (17623239)

"…</p><h2>Software and Spatial Resolution</h2><p dir="ltr">The VRE siting model is implemented using Python and relies heavily on ArcGIS for comprehensive spatial data handling and analysis.…"

Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service) حسب U.S. Forest Service (17476914)

"…Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation. …"

Table 3_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…</p>Conclusions<p>This study demonstrates that integrating deep learning with multi-sequence breast MRI and clinical data provides a highly effective and reliable tool for predicting HER2 expression in breast cancer. …"

Table 2_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…</p>Conclusions<p>This study demonstrates that integrating deep learning with multi-sequence breast MRI and clinical data provides a highly effective and reliable tool for predicting HER2 expression in breast cancer. …"

Table 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…</p>Conclusions<p>This study demonstrates that integrating deep learning with multi-sequence breast MRI and clinical data provides a highly effective and reliable tool for predicting HER2 expression in breast cancer. …"