Breath Metabolomics
Donated on 11/7/2019
Breath analysis is a pivotal method for biological phenotyping. In a pilot study, 100 experiments with four subjects have been performed to study the reproducibility of this technique.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
104
# Features
1656
Dataset Information
Additional Information
104 breath metabolomic experiments with 4 subjects have been performed. Average exhalation parameters together with metabolote signal intensities in breath of 1652 chemical compounds were recorded.
Has Missing Values?
No
Variable Information
CO2: CO2 concentration in % V: Exhaled Volume in L Q: Exhalation Flowrate in L/min p: Exhalation Pressure in mbar X: Chemical Compound Intensity in a.u.
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset breath_metabolomics = fetch_ucirepo(id=548) # data (as pandas dataframes) X = breath_metabolomics.data.features y = breath_metabolomics.data.targets # metadata print(breath_metabolomics.metadata) # variable information print(breath_metabolomics.variables)
Breath Metabolomics. (2019). UCI Machine Learning Repository. https://doi.org/10.24432/C50319.
@misc{misc_breath_metabolomics_548,
title = {{Breath Metabolomics}},
year = {2019},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C50319}
}DOI
Notes
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.