DataSet Name: providence_soil_snow_data_2008-2012.zip This set contains 3 directories with data: Level 0: raw data from datalogger Level 1: QA/QC data Level 2: gap-filled data and derived hourly and daily data Level 0 data are .dat files identified by date logged yyyymmdd. Level 1 and Level 2 data are comma-separated value text files. All .dat and .csv files should be readable in any basic text editor. Plots of Level 2 data are saved as PDF. P301water_balance_transect_site_locations.csv identifies the sensor node locations for P301. Snow depth (cm), air temperature (Deg C), soil volumetric water content (VWC) and soil temperature (Deg C) data are for lower Providence South facing (LowMetS) and North facing (LowMetN), Upper Providence South facing (UpMetS), North facing (UpMetN) and Flat aspect (UpMetF), and Subcatchment basin P301 (P301) from Water year 2008 through water year 2012 (data collection dates: 20080117 to 20121009). Snow depth is measured in the open, at the drip edge and under canopies. Soil volumetric water content (VWC) and temperature are measured at 10, 30, 60 and 90 cm depths coincident with the snow depth nodes. Column Headers indicate the sensor Nodes (CZO-1 through 30), locations (acde: white fir drip edge) and depth below the ground surface. acde: white fir drip edge; acuc: white fir under canopy; cdde: incense-cedar drip edge; cduc: incense-cedar under canopy; open: open canopy; plde: sugar pine drip edge; pluc: sugar pine under canopy; ppde: Ponderosa pine drip; edge ppde: Ponderosa pine drip edge; ppuc: Ponderosa pine under canopy; ppuc: Ponderosa pine under canopy; qkde: black oak drip edge; qkuc: black oak under canopy digital number: depth from ground surface in cm Missing value: -999 For methods, citation and additional information about this dataset, see mrt-datacite.xml. Principal Investigator/Contact: Roger Bales; Southern Sierra Critical Zone Observatory; University of California, Merced, 5200 North Lake Road, Merced, CA 95343; rbales@ucmerced.edu Licensing: This dataset is released to the public and freely available for re-use under a Creative Commons Attribution 4.0 License. Publications, models and data products that make use of these datasets must include proper acknowledgement, including citing datasets in a similar way to citing a journal article (URL or DOI access information).