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

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

<b>GFAP Degradome Foundation Atlas</b> حسب Axel Petzold (7076261)

"…To extract you can use the bash terminal command: <br><b><i>tar -xvJf GFAP_Degradome_Foundation_Atlas_v3.tar.gz</i></b></p><p dir="ltr"><br></p><h3>Codes</h3><p dir="ltr">Dataset generation is reproducible using three open-source tools:<br><b>Python</b>, <b>BLAST</b>, and <b>SAS</b>.…"

<b>InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving</b> حسب 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>. …"

Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2) حسب Tahir Bhatti (20961974)

"…Full source code and version details are available upon request.…"

SpaMask حسب Yi Liu (17324461)

"…<br>The domain identification results of the Tutorial Train_151674.ipynb can be found in the folder named data.<br>Python source code and tutorials can be also accessed at https://github.com/LYxiaotai/SpaMask.…"

CpG Signature Profiling and Heatmap Visualization of SARS-CoV Genomes: Tracing the Genomic Divergence From SARS-CoV (2003) to SARS-CoV-2 (2019) حسب Tahir Bhatti (20961974)

"…</p><p dir="ltr">Heatmap Images :</p><p dir="ltr">Heatmaps for CpG counts and O/E ratios comparing Wuhan-Hu-1 with its closest and most distant relatives.</p><p dir="ltr">Python Script :</p><p dir="ltr">Full Python code used for data processing, distance calculation, and heatmap generation.…"

<b>The abundance of ground-level atmospheric ice-nucleating particles and aerosol properties </b><b>in the North Slope of Alaska</b> حسب Aidan Pantoya (19416546)

"…An individual method-oriented data abstract is available in metadata for each output sub-folder. All Python codes used for processing input data and generating output data are paired with the readme files and archived in folders. …"

Ontology Element Knowledge Graph(OEKG) and a Case Study of Planting-OEKG حسب shanzhuang zhang (21489092)

"…</li><li>Some downloaded open-source ontology files</li><li>The project related code includes three Python files: OWL file parsing, ontology element storage, and ontology basic information storage, which can support the basic construction process of OEKG.…"

<b>Myelin Basic Protein (MBP) Degradome Foundation Atlas</b> حسب Axel Petzold (7076261)

"…</li></ul><p dir="ltr">Dataset Contents</p><p dir="ltr">The compressed archive includes:</p><ul><li>MBP_WT.csv — full degradome of wild-type MBP</li><li>MBP_R159K.csv — full degradome of the R159K MBP variant</li><li>MBP_Degradome_All.csv — merged and unified dataset combining all included MBP variants</li><li>Python source code used to generate all peptide fragments and compute peptide features</li><li>README.txt — structured technical documentation</li><li>requirements.txt — software dependency list for reproducibility</li></ul><h3>Data Format</h3><p dir="ltr">All files are provided in CSV (comma-separated values) format and include the following annotated fields:</p><ul><li><code>id</code> — structured peptide identifier (e.g., MBP_WT_10_42)</li><li><code>peptide</code> — amino acid sequence</li><li><code>start</code>, <code>stop</code> — cleavage positions</li><li><code>mz</code> — mass-to-charge ratio</li><li><code>Da</code> — molecular weight</li><li><code>Boman</code> — Boman index</li><li><code>charge</code> — net charge</li><li><code>pI</code> — isoelectric point</li><li><code>hydrophobicity</code></li><li><code>instability_index</code></li><li><code>aliphatic_index</code></li></ul><p dir="ltr">These properties enable integration into R, Python, SAS, Matlab, and machine learning workflows.…"

Auxiliary and validation data for SAGEA-fluid حسب Weihang Zhang (17626761)

"…<p dir="ltr">SAGEA-fluid is an open-source Python-based solver designed to evaluate the self-attraction and loading effect (SAL), geocenter motion (GCM), and Earth orientation parameters (EOPs) including polar motion (PM) and length-of-day (LOD) variations induced by surface fluid redistribution. …"

Spatial information for Spain حسب Jaime Martinez Cazon (20352189)

"…</b></p><p dir="ltr"><b><u>Source:</u></b><b> </b><a href="https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_ESP_4.json.zip" target="_blank">https://geodata.ucdavis.edu/gadm/gadm4.1/json/gadm41_ESP_4.json.zip</a></p><p dir="ltr">We need to filter by municipalities using the "CODIMUNI" column (code associated to each municipality) in "divisions-administratives-v2r1-municipis-1000000-20240705.json".…"

Supplementary Material for review (<b>Revealing the co-occurrence patterns of public emotions from social media data</b>) حسب Yang Hua (21399140)

"…</p><p dir="ltr">This document provides a detailed explanation of how to reproduce all experimental results, figures and tables presented in the paper, and the key indicators in the abstract by using the shared datasets and source code. The aim is to ensure full reproducibility of the study.…"

MCCN Case Study 4 - Validating gridded data products حسب Donald Hobern (21435904)

"…</p><p dir="ltr">The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 4.ipynb)</p><h4><b>Research Activity Identifier (RAiD)</b></h4><p dir="ltr">RAiD: https://doi.org/10.26292/8679d473</p><h4><b>Case Studies</b></h4><p dir="ltr">This repository contains code and sample data for the following case studies. …"

The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025) حسب zixuan yuan (17602152)

"…</li><li><code><strong>wllvm</strong></code>: The third-party library project WLLVM provides tools for building whole-program LLVM bitcode files from unmodified C or C++ source packages.…"

Processed .h5ad Anndata file from Downsampled data (to use for "Visualization") حسب Daniel Tyrrell (18848821)

"…To address this gap, we developed CAFE as an open-source Python-based web application with a graphical user interface. …"

Albumin Degradome Foundation Atlas حسب Axel Petzold (7076261)

"…</p><h2><b>Data Format and Access</b></h2><ul><li><b>Primary file:</b> <code>Albumin_Degradome_Foundation_Atlas_v1.tar.xz</code><br>(contains all peptide tables in standard CSV format)</li><li><b>File Type:</b> ASCII comma-separated values (CSV)</li><li><b>Compression:</b> <code>xz -9 -T0</code> for maximal CPU-parallelised compression</li><li><b>Compatibility:</b></li><li><ul><li>R, Python, MATLAB, SAS</li><li>Excel, LibreOffice</li><li>Any proteomics workflow (e.g., Skyline, MaxQuant preprocessing, MS/MS spectral libraries)</li></ul></li></ul><h2><b>FAIR Principles</b></h2><p dir="ltr">This dataset is fully aligned with FAIR data standards:</p><ul><li><b>Findable:</b> Rich metadata, stable DOI, search-optimised description</li><li><b>Accessible:</b> Open-access Figshare repository</li><li><b>Interoperable:</b> Standard numeric and CSV formats</li><li><b>Reusable:</b> Transparent, reproducible Python source code included</li></ul><h2><b>Applications</b></h2><p dir="ltr">The Albumin Degradome Foundation Atlas supports research across multiple biomedical domains:</p><ul><li>Biomarker development in liver disease, kidney dysfunction, inflammation, and systemic disorders</li><li>Mass-spectrometry method development</li><li>Computational proteomics and peptide modelling</li><li>Autoimmunity and neo-epitope analysis</li><li>Protein–peptide interaction studies</li><li>Proteolytic pathway mapping and degradomics</li></ul><h2><b>Versioning and Future Work</b></h2><p dir="ltr">This is <b>Version 1</b> of the Albumin Degradome Foundation Atlas. …"

entity-poster.pdf حسب Evgeny Gorbunov (21771560)

"…Entity includes an open-source companion package, nt2py, for interactive simulation analysis, visualization, and post-processing in Python. …"

Downsampled data from FlowRepository: FR-FCM-Z3WR حسب Daniel Tyrrell (18848821)

"…To address this gap, we developed CAFE as an open-source Python-based web application with a graphical user interface. …"

Pteredactyl: Patient Clinical Free-Text Redaction Software حسب Matt Stammers (14037525)

"…</li><li>We have submitted the code to <a href="https://www.ohdsi.org/" rel="noopener noreferrer" target="_blank">OHDSI</a> as an abstract and aim strongly to incorporate this into a wider open-source effort to solve intractable clinical informatics problems.…"

Trustworthy and Ethical AI for Intrusion Detection in Healthcare IoT (IoMT) Systems: An Agentic Decision Loop Framework حسب ibrahim adabara (22107287)

"…</p><h2>️ Repository Structure</h2><pre><pre>agentic-ethical-ids-healthcare/<br>│<br>├── src/ # Source code for model, rule engine, and agent<br>│ ├── train_agent.py<br>│ ├── ethical_engine.py<br>│ ├── detector_model.py<br>│ └── utils/<br>│<br>├── data/ # Links or sample data subsets<br>│ ├── CIC-IoMT-2024/ <br>│ └── CSE-CIC-IDS2018/<br>│<br>├── notebooks/ # Jupyter notebooks for training and analysis<br>│<br>├── models/ # Pretrained model checkpoints (.pth, .pkl)<br>│<br>├── results/ # Evaluation outputs and figures<br>│<br>├── requirements.txt # Python dependencies<br>├── LICENSE # MIT License for open research use<br>└── README.md # Project documentation<br></pre></pre><h2>⚙️ Setup and Installation</h2><p dir="ltr">Clone the repository and set up your environment:</p><pre><pre>git clone https://github.com/ibrahimadabara01/agentic-ethical-ids-healthcare.git<br>cd agentic-ethical-ids-healthcare<br>python -m venv venv<br>source venv/bin/activate # On Windows: venv\Scripts\activate<br>pip install -r requirements.txt<br></pre></pre><h2> Datasets</h2><p dir="ltr">This project uses three datasets:</p><table><tr><th><p dir="ltr">Dataset</p></th><th><p dir="ltr">Purpose</p></th><th><p dir="ltr">Source</p></th></tr><tr><td><b>CIC-IoMT 2024</b></td><td><p dir="ltr">Primary IoMT intrusion detection dataset</p></td><td><a href="https://www.unb.ca/cic/datasets/index.html" rel="noopener" target="_new">Canadian Institute for Cybersecurity</a></td></tr><tr><td><b>CSE-CIC-IDS2018</b></td><td><p dir="ltr">Domain-shift evaluation</p></td><td><a href="https://www.unb.ca/cic/datasets/ids-2018.html" rel="noopener" target="_new">CIC Dataset Portal</a></td></tr><tr><td><b>MIMIC-IV (Demo)</b></td><td><p dir="ltr">Clinical context signals</p></td><td><a href="https://physionet.org/content/mimic-iv-demo/2.2/" rel="noopener" target="_new">PhysioNet</a></td></tr></table><blockquote><p dir="ltr">⚠️ Note: All datasets are publicly available. …"