Breath-by-breath cardiometabolic data during lateral walking
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. Structure Overview Each JSON block includes the following compone...
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| Other Authors: | , |
| Format: | dataset |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.60895/redata/GXGOHS |
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| Summary: | 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. Structure Overview 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. 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 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. |
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