Data Sheet 1_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 12_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 7_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Data Sheet 6_From rocks to pixels: a comprehensive framework for grain shape characterization through the image analysis of size, orientation, and form descriptors.csv by A. L. Back (20719049)

“…A total of 51 descriptors, including elongation and Fourier amplitudes, were extracted, compiled, and computed using Python. The descriptor computation code is provided as a library with this article. …”

Indirect Reciprocity and the Evolution of Prejudicial Groups by Gualtiero Colombo (19078925)

“…<p>The data here presented support a framework for the evolution of prejudicial groups, adopting indirect reciprocity as the test scenario. …”

Phylogenomics of aquatic bacteria by Krzysztof Jurdzinski (12519700)

“…It contains names of the MAGs in format {data source 2-letter code}_{name of the MAG as in  ENA}, the biome of origin and taxonomic classification. …”

Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 by 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.…”

Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series by Andrew M. Thomas (712104)

“…<p>We present a Bayesian method for multivariate changepoint detection that allows for simultaneous inference on the location of a changepoint and the coefficients of a logistic regression model for distinguishing pre-changepoint data from post-changepoint data. …”

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

“…However, the few open-source packages available for processing of spectral images are limited in scope. Here, we present VISION, a stand-alone software based on Python for spectral analysis with improved applicability. …”

Data Sheet 1_Predicting the prognosis of patients with sudden sensorineural hearing loss by analyzing the audiometric curve of the unaffected ear.zip by Xuan Sun (619836)

“…</p>Methods<p>The study employs piecewise curve fitting to simplify the changing trend of audiograms in the unaffected ear of USSNHL patients into the slopes of three straight lines. Utilizing Python, the research team conducts a cluster analysis on the 229 patients’ audiometric characteristics and trains the clustering results into an algorithm model. …”

<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)

“…The filtered data is presented in the <b>Filtered_Variants</b> document.…”

<b>InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving</b> by Xiyan Jiang (20320758)

“…</b></li></ul><p dir="ltr">The Python codes used to process and analyze the dataset can be found at <a href="https://github.com/zxc-tju/InterHub" rel="noreferrer" target="_blank">https://github.com/zxc-tju/InterHub</a>. …”

Physics-Informed Neural Networks to Develop Site-specific Pedotransfer Functions by Pengfei Qi (21994133)

“…<p dir="ltr">Pedotransfer functions (PTFs) are widely used to estimate soil hydraulic properties based on easily accessible soil information, playing an important role in the parameterization of earth surface models.The “SPTF_SUR.py” script serves as an integrated suite of SPTF models and surrogate models. …”

Fast, FAIR, and Scalable: Managing Big Data in HPC with Zarr by Alfonso Ladino (21447002)

Investigating the advantages and disadvantages of available open-source frameworks for prototyping data-based applications by eRNZ Admin (6438486)

Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

“…Despite its promise, clinical translation remains constrained by competing demands for signal strength and patient safety under laser illumination. In this study, we present an open-source, Python-based computational framework that unifies photon transport modeling, probe geometry optimization, and photothermal safety assessment into a single workflow. …”

Bayesian Inference on Brain-Computer Interfaces via GLASS by Bangyao Zhao (21222677)

“…However, the low signal-to-noise ratio (SNR) and complex spatial/temporal correlations of EEG signals present challenges in modeling and computation, especially for individuals with severe physical disabilities—BCI’s primary users. …”

CNG-ARCO-RADAR.pdf by Alfonso Ladino (21447002)

“…This approach uses a suite of Python libraries, including Xarray (Xarray-Datatree), Xradar, and Zarr, to implement a hierarchical tree-like data model. …”

Galaxy Zoo: Cosmic Dawn -- morphological classifications for over 41,000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey by James Pearson (554629)

“…Most files are given in .parquet format, which is a fast csv-like format that can be read in with the pandas Python package as DataFrames using pd.read_parquet(loc, columns=[]). …”

Online Test-time Adaptation for Interatomic Potentials by Cui Taoyong (18076012)

“…The MD simulations for evaluating the performance of TAIP are conducted using the Atomic Simulation Environment (ASE) Python library. SchNet and PaiNN are used, respectively, as the baseline models to produce the potential energy and interatomic forces. …”