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101
Monte Carlo Simulation Code for Evaluating Cognitive Biases in Penalty Shootouts Using ABAB and ABBA Formats
Published 2024“…<p dir="ltr">This Python code implements a Monte Carlo simulation to evaluate the impact of cognitive biases on penalty shootouts under two formats: ABAB (alternating shots) and ABBA (similar to tennis tiebreak format). …”
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102
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
Published 2025“…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>…”
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103
The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation"
Published 2025“…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>…”
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105
Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples
Published 2025“…Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …”
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106
<b>Code and derived data for</b><b>Training Sample Location Matters: Accuracy Impacts in LULC Classification</b>
Published 2025“…</li><li>Python/Kaggle notebooks (<code>.ipynb</code>): reproducibility pipeline for accuracy metrics and statistical analysis.…”
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107
Smart contract and interface code for Nature Energy "A general form of smart contract for decentralised energy systems management"
Published 2024“…This provides the modelled electricity network cost data, the smart contract code, and the Python interface scripts described in the Nature Energy Paper "A general form of smart contract for decentralised energy systems management." …”
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108
<b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b>
Published 2025“…<p dir="ltr"><b>Use case codes of the DDS3 and DDS4 datasets for bacillus segmentation and tuberculosis diagnosis, respectively</b></p><p dir="ltr">The code was developed in the Google Collaboratory environment, using Python version 3.7.13, with TensorFlow 2.8.2. …”
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109
<b>Data and Code from 'The Perfect and Legitimate Bribe': A Transparent Record of Human-AI Collaboration in Legal Scholarship</b>
Published 2025“…</p><p dir="ltr">For optimal viewing of `collated-anonymized.txt`, a text editor that can handle long lines without word wrapping is recommended to preserve the indentation that represents the conversational branching structure.</p><p><br></p><p dir="ltr">### **Running Code/Software**</p><p dir="ltr">The provided scripts (`collator-ipynb.txt` and `sentence-ancestry-ipynb.txt`) are Jupyter Notebooks and require a Python 3 environment to run. …”
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110
Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b>
Published 2025“…Attached is the micro-emotion annotation code based on pytorch, which can be used to annotate the Goemotions dataset by yourself, or predict the emotion classification based on the annotation results. …”
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111
Map of stations sampled during the 2023 and 2022 cruises along the coastal NESAP.
Published 2025“…<p>Markers indicate the type of experiments conducted; black circles denote light manipulations, while stars represent DCMU addition experiments. Red labels denote stations sampled in 2023. …”
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112
Data and code from: Hatchery-reared coho salmon develop less otolith deformities in tanks with alternating water flow directions
Published 2025“…</li><li>Measurements were generated by manually classifying otolith regions in Adobe Photoshop and calculating pixel coverage using a Python script.</li><li>Representative otolith images and details of the classification workflow are provided in the main manuscript figures and Methods section. …”
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113
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Published 2025“…We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”
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BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Published 2025“…We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”
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115
BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories
Published 2025“…We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …”
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Data and Code repository for the paper: <b>Visual loom caused by self- or object-movement elicits distinct responses in mouse superior colliculus</b>
Published 2025“…Binned rates were transformed into z-scores by normalizing to the mean and standard deviation of firing rate across all stimulus conditions.</p><h2>Code Description</h2><p dir="ltr">Shared code contains both MATLAB and Python functions used in the analysis provided in the study. …”
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119
Code and parameter package for long-term mapping and object-based typing of freeze–thaw colluvial deposits (1990–2024) along the Yunnan–Tibet corridor
Published 2025“…Tested with Python 3.x/ArcGIS Pro (ArcPy) and the GEE Code Editor. …”
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120
High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch
Published 2025“…Despite the availability of numerous library search algorithms, those developed by NIST and implemented in MS Search remain predominant, partly because commercial databases (e.g., NIST, Wiley) are distributed in proprietary formats inaccessible to custom code. …”