Name: CER Treatment Region Datasets Date: December 2025 Author: Cassie Lumbrazo Contact: cassielumbrazo@gmail.com Purpose: Publish on HydroShare Folder: \cer_treatment_datasets\ All processing and analysis code associated with this dataset and the accepted manuscript is openly available at: https://github.com/cassielumbrazo/CER_treatment_manuscript _________________________________________________________________________________________________________ Folder Overview: _________________________________________________________________________________________________________ --------------------------------------------------------------------------------------------------------- \1_gis_field\ --------------------------------------------------------------------------------------------------------- This folder contains GIS related files such as the 2023 timeseries field site locations, and other useful shapefiles. Inside this folder is also another folder named, \snow_pit_data_6March2023\: which contains all the snow pit data from the 6 March 2023 CER field day --------------------------------------------------------------------------------------------------------- \2_timeseries\ --------------------------------------------------------------------------------------------------------- This folder contains all the 2023 timeseries field site data. A majority of the contents in this folder were produced by John Cramblitt. The subfolders are, \1_final_data\: The final datasets used for all analysis are in this folder. \2_timelapse_data\: Example timelapse images for each site. \3_raw_other_data\: Raw and working files created by John Cramblitt during data processing. --------------------------------------------------------------------------------------------------------- \3_lidar\ --------------------------------------------------------------------------------------------------------- This lidar folder contains all the CER Treatment Domain Lidar Data (not the entire NCALM domain). Within this folder are the following subfolders, \1_raw_lidar\: The raw lidar datasets for the CER Treatment Region. \2_raw_tifs\: The raw tifs created from the raw lidar for the CER Treatment Region. \3_netcdfs\: The netcdfs created in python, which combine all the 2_raw_tif files, project them together, match the gridcells, ensure all the units are the same, and clip data where needed (e.g., the ridge road) \4_processed_tifs\: The tifs exported from the processed netcdfs with all corrected units, projections, etc.