Breath-by-breath cardiometabolic data during walking in type 2 diabetes and control participants

<p>This dataset contains structured records from individual cardiometabolic test sessions, extracted from original Excel files. Each entry corresponds to one subject and includes both static metadata and dynamic time-series measurements.</p>

<p><b>Structure Overview</b>
Each JSON block includes the following components:
subject_id: Unique identifier for the participant, extracted from the filename or cell A1 of the original Excel sheet.</p>

<p>metadata: Key descriptive fields about the subject and test context. These include:
age: Age of the subject at the time of testing
height_cm: Height in centimeters
weight_kg: Weight in kilograms
sex: Biological sex
test_type: Type of test performed (e.g., maximal, submaximal)
test_date: Date of the test session
subject_type: Classification of the subject (e.g., healthy, clinical)
birth_date: Date of birth
test_reason: Stated reason or objective for the test</p>

<p>data_table: Time-series measurements recorded during the test. This includes:
headers: List of variable names (e.g., VO₂, HR, GPS altitude, cadence)
units: Corresponding units of measurement for each variable
records: List of data rows, each representing a time point or step in the protocol. All columns are preserved to maintain raw data integrity.</p>

<p>The Subjects_groups_db.csv file contains the key to matching subjects to their experimental group, and the participants data: age, biological sex, height, weight and BMI.</p>