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Generated Data Sets
Click here to download example generated data sets (.zip file)
Low-Resolution Electro-Encephalogram (EEG) Data
- File: eeg_1024_samples.csv
- Columns: 136
- Rows: 1024
This is a very small data set representing a set of EEG electrode readings over a period of time. Low resolution (32 samples per second) representing 32 seconds of data, generated using a method of unbounded random walks with randomised start points for each electrode (we used our flagship product Datamaker™ for the generation).
Below is a comparison of real and generated data (single electrode), illustrating the algorithm’s realism:
Real:
Generated:
Accelerometer / Environmental Tracker Data
- Files: accelerometer_10k_001.csv, accelerometer_50k_001.csv
- Columns: 10, 6
- Rows: 10000, 50000
These are two data sets generated to represent accelerometer and environmental readings from a tracking device. Both data sets contain acceleration readings along the x, y and z axes and are recorded at 10Hz and 5Hz respectively (the first column is a timestamp reading so that accurate temporal visualisation is possible). Additionally, both have temperature and light intensity data, and the 10k version has additional data representing rotational motion.
We did not have real data to go on here so we used a method of bounded random walks to approximate the acceleration and the rotational motion. Additionally, the light intensity and temperature are both functions of the current z position (not included but was calculated during generation).
Acceleration:
Temperature:
Light Intensity:
Rotation
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