******* README DATA NANNI et at., 2020 **********

The data are on two formats:
.txt with a ',' delimiter 
.mat for the matlab format

----------------------------------------------------
--- Matlab format ---

DATA_NANNI_2020TC.mat contains:
- "data_cat" an array of 10 variables whose names and units are in "names" and "units"

The variables are:
'Precipitation','Pw lowpass 60 days','Pw 15 min (3-7 Hz averaged) corrected','Pw 15 min (3-7 Hz averaged) raw','Water discharge lowpass 60 days',
'Water discharge 15 min','R lowpass 60 days','S lowpass 60 days','Time vector','sliding velocity lowpass 60 days'

with the units:
'mm/h','dB','dB','dB','m3/sec','m3/sec','-','-','day of year 2017','mm/h'

Time vector is define as the day since 01/01/2017 wich equals to 0, and the unit is day. 
All data are interpolated in the same time vector with a 15 min time sampling

Here is a simple matlab script to have a quick overview of the timeseries:
%----
figure
time = data_cat(9,:); % time vector
for it = 1:size(data_cat,1)
   subplot(2,5,it)
   plot(time,data_cat(it,:),'-')
   ylabel(units{it});xlabel('doy 2017')
   title(names{it})
end
%----

----------------------------------------------------
--- text format ---

- Timeseries_NANNI2020.txt : the 10 time series as described here above. 
First raw is variable name, second raw is variable unit and the rest is double values.


For more information please contact: ugo.nanni@univ-grenoble-alpes.fr
Data users are required to properly cite the study of Nanni et al., 2020 and the doi associated to the data in Zenodo.