added additional table and code to create the data. Updated the readme

README.md

@@ -28,6 +28,7 @@ Our team processed and analyzed these databases to provide valuable information
   - selecting_reference_data (Creates visualizations and a dataset of representative citizen observations selected as baselines)
   - validation_labels (Flags citizen observations dropped during the data cleaning process and gives reasons for dropping them)
   - visualizations (Creates visualizations of the citizen and reference data)
+  - year_to_year_transition_times_data_generation (Creates the year_to_year_transition_time dataset)
 ### data (Contains CSV files of original data and data produced by the Python notebooks in code)
   - citizen_states_cleaned (Cleaned and reformatted citizen database sorted by states)
   - india_map (Geographic data used for finding the Inidan state given a set of coordinates)
@@ -40,6 +41,7 @@ Our team processed and analyzed these databases to provide valuable information
   - selected_reference_data (Dataset of representative citizen observations selected as baselines)
   - species codes (Dataset mapping tree species ids to names)
   - validation_labels_alldata (Citizen database given by SeasonWatch with citizen observations dropped during the data cleaning process flagged and reasons for dropping them given)
+  - year_to_year_transition_time (Dataset of max and mean transition time and probability of phenophases)
 ### dev_code (Contains Python notebooks used in the development process)
   - jobfiles (Files of jobs submitted to shared cloud computing service)
   - scc-config (Config for submitting jobs to shared cloud computing service)