Update Readme

Readme.md

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 A python notebook to merge data from branch chambers, with gas concentrations of H<sub>2</sub>O, CO<sub>2</sub>, COS and CO measured using the Aerodyne Mini-TILDAS OCS/COS Monitor Laser (https://www.aerodyne.com/wp-content/uploads/2020/05/OCS_COS_Monitor.pdf). Data is gathered as follows:
 
 1. Gas concentrations: Aerodyne's built-in computer
-2. Reference concentration of CO2 and H2O: LI-COR LI-7000 infrared gas analyser (IRGA) which is part of a parallel system
+2. Ambient concentration of CO2 and H2O: LI-COR LI-7000 infrared gas analyser (IRGA) which is part of a parallel system
 3. Photosynthetically active radiation, i.e. PAR: 1st Campbell CR1000 datalogger and
 4. Temperatures (air and leaf surface): 2nd Campbell CR1000 datalogger
 
@@ -14,7 +14,7 @@ There are 2 notebooks in this project, and the data is organised as follows:
 2. **01_convert_files_v0.1.ipynb**: This creates daily files in a standard format in the folder *02_preprocessed_data*
 3. **02_laser_v0.1.ipynb**: This merges all data, removes bad data using the logbooks and calculates fluxes in the folder *03_processed_data*. Data in this folder is organised as follows:
    * *raw_qc*: Data at the raw temporal resolution, merged with the unnecessary parts removed (i.e. stabilisation time of the laser)
-   * *1min*: Of each measurement, the last 30-60 measurements in 1s intervals are taken. This folder contains averaged data of each measurement, with calculated fluxes. H<sub>2</sub>O and CO<sub>2</sub> are calibrated to the IRGA data using a linear correlation
+   * *1min*: Of each measurement, the last 30-60 measurements in 1s intervals are taken. This folder contains averaged data of each measurement, with calculated fluxes.
    * *stats_calibration*: Statistics of the linear correlation done in daily steps. Each has the slope, intercept, R<sup>2</sup>, p-value, standard error and sample size (n).
 
 ## Dependencies