Update FunctionSignatures.md

docs/FunctionSignatures.md

 # Implemented QC functions
+
+
+<!-- this stuff is unused so far 
+[->description](docs/FunctionDescriptions.md#harmonize)
+[->description](docs/FunctionDescriptions.md#deharmonize)
+-->
+
+
 ```
 range(min, max)
 ```
+[->description](docs/FunctionDescriptions.md#range)
+
+
+
+```
+isolated(isolation_range, max_isolated_group_size=1, continuation_range='1min', drop_flags=None)
+```
+[->description](docs/FunctionDescriptions.md#isolated)
+
+
 
 ```
 missing(nodata=NaN)
 ```
+[->description](docs/FunctionDescriptions.md#missing)
+
+
 
 ```
 sesonalRange(min, max, startmonth=1, endmonth=12, startday=1, endday=31)
 ```
+[->description](docs/FunctionDescriptions.md#seasonalrange)
+
+
 
 ```
 clear()
 ```
+[->description](docs/FunctionDescriptions.md#clear)
+
+
 
 ```
 force()
 ```
+[->description](docs/FunctionDescriptions.md#force)
+
+
 
 ```
 sliding_outlier(winsz="1h", dx="1h", count=1, deg=1, z=3.5, method="modZ")
 ```
+[->description](docs/FunctionDescriptions.md#sliding_outlier)
+
+
 
 ```
 mad(length, z=3.5, freq=None)
 ```
+[->description](docs/FunctionDescriptions.md#mad)
+
+
+
 
 ```
 Spikes_Basic(thresh=7, tol=0, length="15min")
 ```
+[->description](docs/FunctionDescriptions.md#spikes_basic)
+
+
+
 
 ```
 Spikes_SpektrumBased(filter_window_size="3h", raise_factor=0.15, dev_cont_factor=0.2,
                      noise_barrier=1, noise_window_size="12h", noise_statistic="CoVar",
                      smooth_poly_order=2)
 ```
+[->description](docs/FunctionDescriptions.md#spikes_spektrumbased)
+
+
+
 
 ```
 constant(eps, length, thmin=None)
 ```
+[->description](docs/FunctionDescriptions.md#constant)
+
+
 
 ```
 constants_varianceBased(plateau_window_min="12h", plateau_var_limit=0.0005,
                         var_total_nans=Inf, var_consec_nans=Inf)
 ```
+[->description](docs/FunctionDescriptions.md#constants_varianceBased)
+
+
+
+
+```
+soilMoisture_plateaus(plateau_window_min="12h", plateau_var_limit=0.0005,
+                      rainfall_window_range="12h", var_total_nans=np.inf, 
+                      var_consec_nans=np.inf, derivative_max_lb=0.0025, 
+                      derivative_min_ub=0, data_max_tolerance=0.95, 
+                      filter_window_size=None, smooth_poly_order=2, **kwargs)
+```                      
+[->description](docs/FunctionDescriptions.md#soilmoisture_plateaus)
+
+
+
 
 ```
 SoilMoistureSpikes(filter_window_size="3h", raise_factor=0.15, dev_cont_factor=0.2,
                    noise_barrier=1, noise_window_size="12h", noise_statistic="CoVar")
 ```
+[->description](docs/FunctionDescriptions.md#soilmoisturespikes)
+
+
 
 ```
 SoilMoistureBreaks(diff_method="raw", filter_window_size="3h",
@@ -57,23 +124,39 @@ SoilMoistureBreaks(diff_method="raw", filter_window_size="3h",
                    first_der_window_size="12h", scnd_der_ratio_margin_1=0.05,
                    scnd_der_ratio_margin_2=10, smooth_poly_order=2)
 ```
+[->description](docs/FunctionDescriptions.md#soilmoisturebreaks)
+
+
 
 ```
 SoilMoistureByFrost(soil_temp_reference, tolerated_deviation="1h", frost_level=0)
 ```
+[->description](docs/FunctionDescriptions.md#soilmoisturebyfrost)
+
+
+
 
 ```
 SoilMoistureByPrecipitation(prec_reference, sensor_meas_depth=0,
                             sensor_accuracy=0, soil_porosity=0,
                             std_factor=2, std_factor_range="24h")
 ```
+[->description](docs/FunctionDescriptions.md#soilmoisturebyprecipitation)
+
                             
+
 ```                            
 Breaks_SpektrumBased(diff_method="raw", filter_window_size="3h",
                      rel_change_rate_min=0.1, abs_change_min=0.01, first_der_factor=10,
                      first_der_window_size="12h", scnd_der_ratio_margin_1=0.05,
                      scnd_der_ratio_margin_2=10, smooth_poly_order=2)
 ```
+[->description](docs/FunctionDescriptions.md#breaks_spektrumbased)
+
+
+
 ```
 machinelearning(references, window_values, window_flags, path)
-```
\ No newline at end of file
+```
+[->description](docs/FunctionDescriptions.md#machinelearning)
+