README.md

metadata

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

Model Repository: Published Models
Project Repository: Digital Twin of Ex Vivo Human Lungs Project
Updated: 2025-July

---

Dataset Summary

This demo dataset accompanies the Digital Twin of Ex Vivo Human Lungs Project. It provides demo data to test and demonstrate inference workflows with our published models.

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 and Web App Demo

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.