Datasets
Standard Dataset
RF-Based Noise Data for Randomness Applications with Artificial Intelligence
- Citation Author(s):
- Submitted by:
- Hasan Yigit
- Last updated:
- Mon, 11/04/2024 - 14:34
- DOI:
- 10.21227/4g3q-tj25
- License:
- Categories:
- Keywords:
Abstract
This dataset comprises audio recordings of ultra-high-frequency ambient noise stored in the lossless waveform format (WAW). The recordings were sampled at a frequency sample rate of 2.048 MHz and then provided at a downsampled audio rate of 48 kHz for compatibility and practical usage. The total length of the dataset is 01:30:29, consisting of approximately 260 million data points. (2024-03-30)
Title: RF Noise-Based Data
Description: This dataset comprises audio recordings of ultra-high-frequency ambient noise stored in the lossless waveform format (WAW).
The recordings were sampled at a frequency sample rate of 2.048 MHz and then provided at a downsampled audio rate of 48 kHz for compatibility
and practical usage. The total length of the dataset is 01:30:29, consisting of approximately 260 million data points.
Dataset Information:
- File Format: WAW (Lossless Waveform)
- Length: 01:30:29
- Size: Approximately 500 MB (size may vary based on file system format)
- Frequency Sample Rate: 2.048 MHz
- Audio Recorded Sample Rate: 48 kHz
- Total Data Points: ~260 million
Additional Notes:
- The dataset includes preliminary information to facilitate preprocessing and analysis.
- The preliminary data may contain each recording's metadata, annotations, or relevant information.
- The audio recordings are downsampled from the original frequency sample rate of 2.048 MHz to 48 kHz for compatibility and ease of use.
- The training data is provided with a sample rate of 1567 and a length of 200, totaling 4000 instances.
- Users are encouraged to refer to the accompanying documentation and related research paper for detailed information on dataset usage, preprocessing steps, and potential applications.
Documentation
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Instructions.txt | 1.41 KB |