Ultrasonic dataset with argon and air in helium

This repository contains three datasets stored in NumPy array files (`.npy` format), which are used for analyzing the relationship between excitation and ultrasonic responses. These datasets were utilized in the research paper titled "Impurity Gas Monitoring Using Ultrasonic Sensing and Neural Networks: Forward and Inverse Problems" available at (https://doi.org/10.1016/j.measurement.2023.113822).

 Files

1. Input_set.npy: This file contains the input dataset for the model.2. Response_set.npy:This file contains the corresponding response dataset for the input data.3. Concen_set.npy: This file contains the concentration pairs of Argon and Air used in the experiments.

Data Structure

Input_set.npy- Shape:*The array has a shape of (121,498, 253).- Description: This array represents the input excitation for the ultrasonic experiments.  - The first 251 columns contain the excitation used during the experiments. Each row corresponds to a excitation.  - The last 2 columns represent the concentration pairs of Argon and Air:    - Column 252 contains the Argon concentration.    - Column 253 contains the Air concentration.

Response_set.npy- Shape: The array has a shape of (121,498, 776).- Description: This array contains the ultrasonic response data corresponding to the input parameters in `Input_set.npy`.  - The 776 columns represent a time-series data point of the ultrasonic response captured during the experiment. Each row corresponds to the ultrasonic response for a specific set of excitation parameters and gas concentration pairs.

Concen_set.npy- Shape: The array corresponds to the concentration pairs of Argon and Air.- Description: This array contains the concentration pairs of Argon and Air used in the experiments.

CitationIf you use this dataset in your research, please cite the above paper.

ContactFor any questions or issues related to this dataset, please contact the repository owner via [e-mail].