Public Gas Dataset
This dataset records 18,000 series measurements from a chemical detection platform based on a 72-element metal-oxide gas sensor array. Each measurement includes 72 time series recorded over 260 seconds at a sampling rate of 100 Hz. The dataset also contains timestamps, temperature, and relative humidity information. The final generated dataset comprises 75 time series, each containing 26,000 data points.
Description
Dataset Overview
Dataset Name
CNN-Models-for-Public-Gas-Dataset
Dataset Content
- Sensor Type: 72 types of metal-oxide gas sensors
- Number of Measurements: 18,000 series measurements
- Time Series Data: Each measurement includes 72 time series recorded for 260 seconds at a sampling rate of 100 Hz
- Additional Information: Timestamp, temperature, and relative humidity
- Final Dataset Structure: 75 time series, each containing 26,000 data points
Dataset Preprocessing
- Preprocessing Method: Gas sensor resistance values are converted into grayscale images
Dataset Links
- UCI Machine Learning Repository Link: https://archive.ics.uci.edu/ml/machine-learning-databases/00251/
- Preprocessed Data Storage Link: https://drive.google.com/drive/folders/1zllbDHENciQxBczonPjVeaREKX-vofG0?usp=drive_link
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Topics
Source
Organization: github
Created: 10/24/2023
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