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

Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis by Alan Glanz (22109698)

“…</p><h2><b>Included Files</b></h2><h3><b>1. </b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.…”

Physiotherapist-Assisted Wrist Movement Protocol for EEG-Based Corticokinematic Coherence Assessment by Fanni Kovács (21733838)

“…</li></ul><p dir="ltr"><b>Example (Python, using numpy):</b></p><pre><pre>import numpy as np, os<br><br>filename = "S113_ckc_bal_t1_01"<br><br># Read channel labels from .hed<br>channels = []<br>with open(filename + ".hed", "r") as f:<br> for line in f:<br> if line.startswith("Ch:"):<br> channels.append(line.split(":")[1].strip())<br>n_channels = len(channels)<br><br># Determine number of samples<br>filesize = os.path.getsize(filename + ".flo")<br>n_samples = filesize // (4 * n_channels)<br><br># Load EEG data<br>raweeg = np.fromfile(filename + ".flo", dtype="f4")<br>raweeg = raweeg.reshape(n_channels, n_samples)<br></pre></pre><h4><b>Notes</b></h4><ul><li>Data are organized by movement side (<code>bal</code> = left, <code>jobb</code> = right), trial (<code>t1</code>), and block repetition (01, 02).…”

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

“…Supplementary Materials</p> <p><br></p> <p>Experimental protocols and study design details</p> <p><br></p> <p>Questionnaires, surveys, or rubrics used in the study</p> <p><br></p> <p>Educational materials related to HOTS-based mathematics tasks</p> <p><br></p> <p><br></p> <p><br></p> <p>3. Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …”

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

“…Supplementary Materials</p> <p><br></p> <p>Experimental protocols and study design details</p> <p><br></p> <p>Questionnaires, surveys, or rubrics used in the study</p> <p><br></p> <p>Educational materials related to HOTS-based mathematics tasks</p> <p><br></p> <p><br></p> <p><br></p> <p>3. Code and Algorithms (if applicable)</p> <p><br></p> <p>Scripts for EEG signal processing and analysis</p> <p><br></p> <p>Machine learning or statistical modeling scripts</p> <p><br></p> <p>Any software implementation used to analyze brainwave patterns</p> <p><br></p> <p><br></p> <p><br></p> <p>4. …”

Online Resource: Reservoir Computing as a Promising Approach for False Data Injection Attack Detection in Smart Grids by Carl-Hendrik Peters (21530624)

“…</li><li><b>3_literature_analysis_and_mapping.ipynb</b><br>Contains the Python code used for executing the systematic mapping study (SMS), including automated processing of literature data and thematic clustering.…”

Sonification of Growing Black Hole by Rose Shepherd (20328444)

“…We used the open source Python package STRAUSS to produce the sonification (Trayford and Harrison 2023). …”

Missing and Unaccounted-for People in Mexico (1960s–2025) by Montserrat Mora (20430644)

“…</li></ul><p dir="ltr"><b>Additional Materials:</b></p><ol><li><b>Python Script:</b> A Python script to generate customizable visualizations based on the dataset. …”

Supplementary file 1_ParaDeep: sequence-based deep learning for residue-level paratope prediction using chain-aware BiLSTM-CNN models.docx by Piyachat Udomwong (22563212)

“…Its efficiency and scalability make it well-suited for early-stage antibody discovery, repertoire profiling, and therapeutic design, particularly in the absence of structural data. The implementation is freely available at https://github.com/PiyachatU/ParaDeep, with Python (PyTorch) code and a Google Colab interface for ease of use.…”

Thermally Activated Resonant Tunnelling in GaAs/AlGaAs Triple Barrier Heterostructures by Craig Allford (19079081)

“…Each file is named to represent the sample wafer under test, the pins used on a 20-way ceramic package into which the sample wafers were mounted and bonded, and the temperature at which the data was taken. …”

Methodological Approach Based on Structural Parameters, Vibrational Frequencies, and MMFF94 Bond Charge Increments for Platinum-Based Compounds by Gloria Castañeda-Valencia (20758502)

“…The developed bci optimization tool, based on MMFF94, was implemented using a Python code made available at https://github.com/molmodcs/bci_solver. …”

Attention and Cognitive Workload by Rui Varandas (11900993)

“…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…”

Ambient Air Pollutant Dynamics (2010–2025) and the Exceptional Winter 2016–17 Pollution Episode: Implications for a Uranium/Arsenic Exposure Event by Thomas Clemens Carmine (19756929)

“…Includes imputation statistics, data dictionary, and the Python imputation code (Imputation_Air_Pollutants_NABEL.py). …”

Advancing Solar Magnetic Field Modeling by Carlos António (21257432)

“…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …”

Related to Figs 1, 2 and S1. by Tyron Chang (9922533)

“…Sheet B, C, D, and E in S1 Table (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1012673#ppat.1012673.g002" target="_blank">Fig 2</a>): Log₂TPM (transcripts per million) RNA-Seq values and statistics for representatives from ISG subclasses ‐ 2 high, 2 low, and 5 variable ‐ across 578 human lung tissue samples (Sheet B in S1 Table), 226 human liver tissue samples (Sheet C in S1 Table), 241 human spleen tissue samples (Sheet D in S1 Table), and 755 human whole blood tissue samples (Sheet E in S1 Table). …”

Shadowed Realities: An Investigation of UI Attacks in WebXR - Research Artifacts by Chandrika Mukherjee (20576567)

“…These are implemented using Python. The entry point to the scripts is main_analysis.py. …”

Cognitive Fatigue by Rui Varandas (11900993)

“…In our analysis, the first baseline period, although not explicitly present in the dataset, was designated as representing no CF, whereas the final baseline period was designated as representing the presence of CF. …”

Data files accompanying our PLoS One publication by Peter Hinow (21810605)

“…The videos were digitized and the positional data were saved in .xlsx or .csv format, respectively. The python codes contain the numerical implementations of our mathematical models.…”

GameOfLife Prediction Dataset by David Towers (12857447)

“…</p><p dir="ltr">The data is stored in a channels-first format with a shape of (n, 1, 10, 10) where n is the number of samples in the corresponding set (50,000 for training, 10,000 for validation, and 10,000 for testing).…”

Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”