# Learn by ExamplesΒΆ

- 1. Load your first measurement files
- 2. Common DataStore functions
- 3. Define calibration sections
- 4. Calculate variance of Stokes and anti-Stokes measurements
- 7. Calibration of single-ended measurement
- Read the raw data files loaded from your DTS machine
- Define the reference fiber sections that have a known temperature
- Estimate the variance of the noise in the Stokes and anti-Stokes measurements
- Perform calibration and compute the temperature
- Plot the temperature and uncertainty of the estimated temperature

- 8. Calibration of double-ended measurements
- Read the raw data files loaded from your DTS machine
- Align measurements of the forward and backward channels
- Define the reference fiber sections that have a known temperature
- Estimate the variance of the noise in the Stokes and anti-Stokes measurements
- Perform calibration and compute the temperature
- Uncertainty of the calibrated temperature

- 9. Import a time series
- 10. Align double ended measurements
- 11. Merge two single-ended measurements into a double-ended datastore
- 12. Creating a DataStore from numpy arrays
- 13. Fixing calibration parameters
- 14. Calibration over (lossy) splices and connectors
- 15. Calibration using matching sections
- 16. Confidence intervals of average temperatures
- Calibration procedure
- Confidence intervals of averages
- Introduction confidence intervals
- 1. Averaging over time while the temperature varies over time and along the fiber
- 2. Averaging over time while assuming the temperature remains constant over time but varies along the fiber
- 3. Averaging along the fiber while the temperature varies along the cable and over time
- 4. Averaging along the fiber while assuming the temperature is same along the fiber but varies over time

- 17. Uncertainty of the temperature estimated using single-ended calibration
- A2. Loading sensornet files
- A3. Loading AP Sensing files
- A4. Loading sensortran files