<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

"…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…"

Seismic-Acoustic Dataset of Coastal Bryde’s Whales in the Beibu Gulf حسب Yue Wang (22435645)

"…</p></td></tr><tr><td><p dir="ltr"><code>requirements.txt</code></p></td><td><p dir="ltr">Python dependencies for environment setup.…"

Aquaporin-4 (AQP4) Degradome Foundation Atlas حسب Axel Petzold (7076261)

"…</li></ul><h3> Reproducibility and Code Availability</h3><p dir="ltr">The dataset can be <b>fully regenerated</b> using open-source tools:</p><ul><li><b>Python</b></li></ul><p dir="ltr">All required scripts are included in the repository and extensively documented for local replication and adaptation. …"

MCCN Case Study 1 - Evaluate impact from environmental events/pressures 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 1.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. …"

Fertility Rates in Mexico by State (1950–2070) حسب Montserrat Mora (20430644)

"…</li><li>A <code>requirements.txt</code> file specifying the necessary Python libraries for running the script.…"

MM_DyGNN حسب lei zhu (21605300)

"…<p dir="ltr">This is the python code and data of the article 'Adaptive dynamic graph learning for forecasting urban demand for multimodal travel' submitted to Taylor & Francis in International Journal of Geographical Information Science.…"

<b>EEG dataset for multi-class Chinese character stroke and pinyin vowel handwriting imagery (16 subjects, CCS-HI & SV-HI)</b> حسب Fan Wang (22125886)

"…Preprocessing & Trial Integrity</h3><p dir="ltr">The publicly released dataset contains raw EEG data (no preprocessing); preprocessing (via MNE-Python, code in code folder) was only conducted for model training/testing: 1–40 Hz Butterworth bandpass filtering + 50 Hz notch filtering for noise reduction, manual bad channel labeling (EEGLAB) and spherical spline interpolation (per BIDS _channels.tsv), downsampling from 1000 Hz to 250 Hz, z-score normalization per trial, and epoch extraction of the 0–4 s imagery period (for both tasks). …"

<b>Antibiotics in the Global River System Arising from Human Consumption</b> حسب Heloisa Ehalt Macedo (10319300)

"…</p><p dir="ltr">The data repository includes 3 datasets:</p><p dir="ltr">1. Python code: python project repository including the structure necessary for the model to run.…"

Skyeye: Detecting Imminent Attacks via Analyzing Adversarial Smart Contracts حسب Hao Wu (18777114)

"…<h2>Description:</h2><p dir="ltr">This is a repository that contains the source code of <i>SKYEYE</i>, dataset collected for analysis and experiment results in support of the ASE2024 submission for <i>SKYEYE</i>.…"

Honeybee flight data after encountering a detour حسب Anna Hadjitofi (17540058)

"…Our exploration of the data suggests that bees exhibit immediate corrective turns consistent with using path integration to fly towards the food; and that the communicated or recalled vector provides an approximate location rather than pinpoint accuracy.</p><h3>Data & Code</h3><ul><li>A python script has been provided (<i>generate_plots_JEB.py</i>) that can be used to reproduce the figures in the paper. …"

Labor Space : A Unifying Representation of the Labor Market via Large Language Models حسب Seongwoon Kim (20224218)

"…</p><p dir="ltr">Below is the Python code for loading data from a local source.</p><p dir="ltr">pip install transformers</p><p dir="ltr"><br>from transformers import AutoModel<br>data_path = "config.json and pytorch_model.bin path"<br>model = AutoModel.from_pretrained(data_path)</p><p dir="ltr"><br></p><p dir="ltr"><b>Citation</b></p><p dir="ltr"><b>bibtex</b><br>@inproceedings{kim2024labor,<br>title={Labor Space: A Unifying Representation of the Labor Market via Large Language Models},<br>author={Kim, Seongwoon and Ahn, Yong-Yeol and Park, Jaehyuk},<br>booktitle={Proceedings of the ACM on Web Conference 2024},<br>pages={2441--2451},<br>year={2024}<br>}</p><p dir="ltr"><br></p><p dir="ltr"><b>APA</b></p><p dir="ltr">Kim, S., Ahn, Y. …"

A Quick Guide to Prompt Engineering: Using Generative AI Wisely in Learning and Work حسب Uce Indahyanti (21324434)

"…</i>This version includes enhanced sections on LLMs, Python-based code examples, and expanded ethical guidance.…"

Ultra-AV: A unified longitudinal trajectory dataset for automated vehicle حسب Hang Zhou (19180441)

"…The obtained datasets are provided in this repo. The Python code used to analyze the datasets can be found at <a href="https://github.com/CATS-Lab/Filed-Experiment-Data-ULTra-AV" rel="noreferrer" target="_blank"><u>https://github.com/CATS-Lab/Filed-Experiment-Data-ULTra-AV</u></a>. …"

Mexico Foreign Trade by Country (1993-2025) حسب Montserrat Mora (20430644)

"…<p dir="ltr">This project features a Python script designed to visualize Mexico's trade relationships from 1993 to 2025. …"

Numerical analysis and modeling of water quality indicators in the Ribeirão João Leite reservoir (Goiás, Brazil) حسب Amanda Bueno de Moraes (22559249)

"…<p dir="ltr">This deposit provides the Python notebook and the input dataset used in the study “Numerical analysis and modeling of water quality indicators in the Ribeirão João Leite reservoir (Goiás, Brazil).” …"

Data from: Circadian activity predicts breeding phenology in the Asian burying beetle <i>Nicrophorus nepalensis</i> حسب Hao Chen (20313552)

"…</p><p dir="ltr">The dataset includes:</p><ol><li>Raw locomotor activity measurements (.txt files) with 1-minute resolution</li><li>Breeding experiment data (Pair_breeding.csv) documenting nest IDs, population sources, photoperiod treatments, and breeding success</li><li>Activity measurement metadata (Loc_metadataset.csv) containing detailed experimental parameters and daily activity metrics extracted using tsfresh</li></ol><p dir="ltr">The repository also includes complete analysis pipelines implemented in both Python (3.8.8) and R (4.3.1), featuring:</p><ul><li>Data preprocessing and machine learning model development</li><li>Statistical analyses</li><li>Visualization scripts for generating Shapley plots, activity pattern plots, and other figures</li></ul><p></p>…"

IGD-cyberbullying-detection-AI حسب Bryan James (19921044)

"…</p><h2>Requirements</h2><p dir="ltr">To run this code, you'll need the following dependencies:</p><ul><li>Python 3.x</li><li>TensorFlow</li><li>scikit-learn</li><li>pandas</li><li>numpy</li><li>matplotlib</li><li>imbalanced-learn</li></ul><p dir="ltr">You can install the required dependencies using the provided <code>requirements.txt</code> file.…"

Leveraging Large Language Models as Requirements Elicitation Interview Bots-all data حسب Samuel Gorsch (19947618)

"…<p dir="ltr"><b>Title:</b> Code and Supplementary Files for "Leveraging Large Language Models as Requirements Elicitation Interview Bots"</p><p dir="ltr"><b>Description:</b><br>This repository contains all code, supplementary plots, and select data files used in the master’s thesis, "Leveraging Large Language Models (LLMs) as Requirements Elicitation Interview Bots." …"

<b>Engineered Muscle-Derived Extracellular Vesicles Boost Insulin Sensitivity and Glucose Regulation</b> حسب Hagit Shoyhet (21090650)

"…</p><p dir="ltr"><b>miR_path_target_enrichment.csv</b></p><p dir="ltr"><b>Description:</b> KEGG pathway enrichment analysis results of shared mRNA targets of miRNAs miR-16-5p, miR-122-5p and miR-486-5p ranked by their interaction score defined in our paper. this includes the pathway name, the enrichment p-value, number of genes found in the term and number of miRNAs targeting these genes</p><p dir="ltr"><b>Code/software</b></p><p dir="ltr">Data were analyzed using R-V4.0.4, Python-V3.9.2 and GraphPad software. miRNA analyses were run in R-V4.0.4 Differential expression analysis was conducted using the “DEseq2” package and corrected for multiple hypotheses by FDR. …"

Neural-Signal Tokenization and Real-Time Contextual Foundation Modelling for Sovereign-Scale AGI Systems حسب Lakshit Mathur (20894549)

"…</p><p dir="ltr"><b>Availability</b> — The repository includes LaTeX sources, trained model checkpoints, Python/PyTorch code, and synthetic datasets. …"