Yokoyama et al., Supplementary Data for "Prediction of Li-ion Conductivity in Ca and Si co-doped LiZr₂(PO₄)₃ Using a Denoising Autoencoder for Expe... حسب Yumika Yokoyama (20174705)

"…<p dir="ltr"><b>uniDAE.py </b>is the python script used in this study. The script includes a denoising autoencoder for XRD profiles with six attention heads and a deep learning model for regression analysis of the activation energy (Ea) of ion conduction.…"

Machine Learning-Driven Discovery and Database of Cyanobacteria Bioactive Compounds: A Resource for Therapeutics and Bioremediation حسب Renato Soares (20348202)

"…In this study, a searchable, updated, curated, and downloadable database of cyanobacteria bioactive compounds was designed, along with a machine-learning model to predict the compounds’ targets of newly discovered molecules. A Python programming protocol obtained 3431 cyanobacteria bioactive compounds, 373 unique protein targets, and 3027 molecular descriptors. …"

List of abbreviations. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Heat map of the correlation of features. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Experimental environment configuration table. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Pseudocode for machine learning models. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Base learner parameters. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Data inclusion and exclusion process. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

Modeling flowchart. حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

S1 Data - حسب Jingru Dong (14076094)

"…In this study, we develop a non-invasive breast cancer classification system for detecting cancer metastasis. We used Anaconda-Jupyter notebooks to develop various Python programming modules for text mining, data processing, and machine learning (ML) methods. …"

JASPEX model حسب Olugbenga OLUWAGBEMI (21403187)

"…The accompany data were processed and reformatted into its current form using Python programming within Jupyter Notebook enivironment and Shell programming.…"

Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation حسب Ryo Tamura (1957942)

"…</p> <p>NIMO enables AI-driven automation in self-driving labs by bridging diverse experimental systems, including those using non-Python platforms, greatly enhancing SDL accessibility and flexibility.…"

A functional shunt in the umbilical cord: the role of coiling in solute and heat transfer حسب Tianran Wan (20699285)

"…<p dir="ltr">The Python notebook ‘angle_estimation_tool.ipynb’ contains the semi-automated Python tool used to extract the outline of the umbilical cord and each vessel.…"

Discover simulation errors with the harmonic oscillator. حسب Franz Chouly (18546820)

"…It is made using simply basic Python librairies (NumPy, etc). …"

Flow patterns in synthetic fractures under varying matrix permeability for "On the influence of matrix flow in the hydraulic permeability of rough-walled fractures" حسب Carlos Augusto Soares Ferreira (9407516)

"…</p><p dir="ltr">The mesh files in this dataset are in VTK format and may be read using the Python library <b>meshio </b>(https://github.com/nschloe/meshio). …"

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

"…<p dir="ltr">We present a challenging change detection problem in vector building footprints, which is critical when detected changes are used to update existing vector databases. …"

Archive of data and code associated with the publication "<b>Nanoscale 3D DNA tracing reveals the mechanism of self-organization of mitotic chromosomes</b>" by Beckwith, Brunner, e... حسب Kai Sandvold Beckwith (19646290)

"…</p><p dir="ltr">run_LE_sim.ipynb: Jupyter notebook containing code examples to run 1D loop extrusion simulations to be used as input for dynamic polymer simulations.</p><p dir="ltr">run_polychrom_LE.py: Executable python program to run dynamic polychrom simulations based on the 1D loop extrusions. …"

Code for AOP-DB v3 حسب Brandy Wilkinson (20827586)

Sample subject data. حسب Julia Jurkowska (22192327)

"…<p dir="ltr">Sample subject data used as a use-case in "Multi-Source Neural Activity Indices and Spatial Filters for EEG/MEG Inverse Problem: An Extension to MNE-Python". …"

Voxel Dataset حسب David Towers (12857447)

"…<p>The Voxel dataset is a constructed dataset of 3D shapes designed to present a unique problem for ML and NAS tools. Instead of a photo of a 3D object, we exploit ML's ability to work across N number of 'colour' channels and use this dimension as a third dimension for images.…"