--- license: cc-by-nc-nd-4.0 language: - en dataset_info: - config_name: 1Hr Per-breath Data features: - name: Case ID dtype: int64 - name: Breath Number dtype: string - name: Dynamic Compliance (mL/cmH₂O) dtype: float64 - name: Mean Airway Pressure (cmH₂O) dtype: float64 - name: Peak Airway Pressure (cmH₂O) dtype: float64 - name: Expiratory Volume (mL) dtype: float64 splits: - name: train num_bytes: 7923 num_examples: 150 - config_name: 2Hr Per-breath Data features: - name: Case ID dtype: int64 - name: Breath Number dtype: string - name: Dynamic Compliance (mL/cmH₂O) dtype: float64 - name: Mean Airway Pressure (cmH₂O) dtype: float64 - name: Peak Airway Pressure (cmH₂O) dtype: float64 - name: Expiratory Volume (mL) dtype: float64 splits: - name: train num_bytes: 7923 num_examples: 150 - config_name: 3Hr Per-breath Data features: - name: Case ID dtype: int64 - name: Breath Number dtype: string - name: Dynamic Compliance (mL/cmH₂O) dtype: float64 - name: Mean Airway Pressure (cmH₂O) dtype: float64 - name: Peak Airway Pressure (cmH₂O) dtype: float64 - name: Expiratory Volume (mL) dtype: float64 splits: - name: train num_bytes: 7923 num_examples: 150 - config_name: Lung Function Hourly Data features: - name: Case ID dtype: int64 - name: Parameter dtype: string - name: 1st Hour dtype: float64 - name: 2nd Hour dtype: float64 - name: 3rd Hour dtype: float64 splits: - name: train num_bytes: 3801 num_examples: 63 - config_name: Lung X-ray Image Data features: - name: Case ID dtype: int64 - name: Xray PC# dtype: string - name: 1st Hour dtype: float64 - name: 3rd Hour dtype: float64 splits: - name: train num_bytes: 1233 num_examples: 30 - config_name: Protein Data features: - name: Case ID dtype: int64 - name: Protein dtype: string - name: 1st Hour dtype: float64 - name: 90 Minutes dtype: float64 - name: 110 Minutes dtype: float64 - name: 2nd Hour dtype: float64 - name: 130 Minutes dtype: float64 - name: 150 Minutes dtype: float64 - name: 3rd Hour dtype: float64 splits: - name: train num_bytes: 1077 num_examples: 12 - config_name: Transcriptomics Data features: - name: Case ID dtype: int64 - name: Pathway dtype: string - name: Baseline dtype: float64 - name: Target dtype: float64 splits: - name: train num_bytes: 8454 num_examples: 156 configs: - config_name: 1Hr Per-breath Data data_files: - split: train path: 1Hr Per-breath Data/*.csv - config_name: 2Hr Per-breath Data data_files: - split: train path: 2Hr Per-breath Data/*.csv - config_name: 3Hr Per-breath Data data_files: - split: train path: 3Hr Per-breath Data/*.csv - config_name: Lung Function Hourly Data data_files: - split: train path: Lung Function Hourly Data/*.csv - config_name: Lung X-ray Image Data data_files: - split: train path: Lung X-ray Image Data/*.csv - config_name: Protein Data data_files: - split: train path: Protein Data/*.csv - config_name: Transcriptomics Data data_files: - split: train path: Transcriptomics Data/*.csv ---

Digital Twins of Ex Vivo Human Lungs Demo Dataset

Project Page GitHub Code Hugging Face Model Hugging Face Dataset

Colab: DT Lung Demo Streamlit Web App Docker Hub

**Model Repository:** [Published Models](https://huggingface.co/SageLabUHN/DT_Lung) **Project Repository:** [Digital Twin of Ex Vivo Human Lungs Project](https://github.com/Sage-Lab-ai/DT_Lung)
**Updated:** 2025-July --- ## Dataset Summary This demo dataset accompanies the [Digital Twin of Ex Vivo Human Lungs Project](https://github.com/Sage-Lab-ai/DT_Lung). It provides demo data to test and demonstrate inference workflows with our [published models](https://huggingface.co/SageLabUHN/DT_Lung). The dataset includes: - Demo data on three clinical ex vivo human lung cases - Multi-modal data including lung physiology, biochemistry, X-ray image-derived features, protein markers, transcriptomic markers, and per-breath time-series data. --- ## Dataset Structure ``` DT_Lung_Demo_Data/ ├── DT Lung Demo Case 1.xlsx ├── DT Lung Demo Case 2.xlsx ├── DT Lung Demo Case 3.xlsx ``` Each Excel file in this directory represents an independent clinical ex vivo human lung case. Each tab in the Excel file contains data for each data modality. ## Downloading Dataset Option 1: Recommended ``` from huggingface_hub import snapshot_download dataset_dir = snapshot_download( repo_id="SageLabUHN/DT_Lung_Demo_Data", repo_type="dataset", local_dir="DT_Lung/Data" ) print(f"Dataset downloaded to: {dataset_dir}") ``` Option 2: Manual download from browser 1. Click on the Excel file you want to download, click "Download". 2. Place downloaded files under the correct directory: "work_dir/DT_Lung/Data" ## Intended Use This dataset is intended for: - Testing inference pipelines in research and demos - Demonstrating data structure for digital twin modeling - Reproducing examples from our [Google Colab Demo](https://colab.research.google.com/drive/1EsiyQ0c0HK2p3X3w2nd8E0J7ag9dyV9T?authuser=1#scrollTo=-qFeBnInM4a0) and [Web App Demo](https://dt-lung.streamlit.app/) **Not intended** for model training or clinical decision-making. ## License This dataset is released under the **Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 International (CC BY‑NC‑SA 4.0)** license. Commercial use is **prohibited**.