The phrase "ambient data" is correct and usable in written English.
It can be used in contexts related to data collection, analysis, or technology, often referring to information that is collected passively or from the environment.
Example: "The smart home system utilizes ambient data to adjust the temperature and lighting based on the occupants' preferences."
Alternatives: "environmental data" or "surrounding data".
AAL systems typically consist of multitudes of sensors and embedded devices, generating large amounts of medical and ambient data.
A recently developed fast Bayesian frequency domain method is used for modal identification based on the measured ambient data.
(vii) Waters where ambient data indicate potential or actual exceedances of water quality criteria due to toxic pollutants from an industry classified as a primary industry in appendix A of 40 CFR part 122.
Disk imaging differs from creating a standard backup of a disk in that ambient data is not copied to a backup; only active files are copied.
The VOC OHM system measures the ambient VOCs and OH reactivity every hour for ∼20 min durations each, with an ambient data gap of ∼13 min in between.
Urechis unicinctus transport ambient data and their correlations are statistically calculated and analyzed by transportation monitoring and analysis system for the two transportation strategies.
Ambient data sensing devices are designed and deployed in water and waterless transportation facilities by which the simulation of real live transportation is tested.
A well-designed monitoring program is important to collect such PM ambient data in urban areas with diverse and densely distributed sources.
The results show that the calibrated parameter set concluded to be most consistent with the conceptual model provides a good fit to the ambient data.
A recently developed Fast Bayesian FFT Method is used to identify the modal properties using the ambient data in individual setups.
The development of emissions inventories, meteorological fields, and the ambient data necessary for model performance evaluation is a large-scale, complex effort that involves multiple institutions and years of effort.
