Title: Soil moisture probe data from 15 probes within the Liverpool Plains region and Muttama in NSW
Creator/s: Bishop T.F.A, Filippi P, Yu Y, Zhang Y, Amir M, Wright J
Contact: Patrick.filippi@sydney.edu.au
Licence: Licence upon request
Software/hardware needed to access/use data: Python and Microsoft Excel
File formats the data is saved in: .py and .csv
Language: English
Geographical coverage: Liverpool plains and Muttama, NSW

Description of data:
These datasets contain soil moisture measurements taken from 15 moisture probes within the Liverpool plains and Muttama in NSW at farms owned by the University of Sydney. This dataset was created as part of the SoilWaterNow project completed in collaboration with GRDC. These measurements are taken as ground-truth soil moisture data (%VWC) at depths from 30-110cm, with a measurement every 10 cm, that is used to validate predictive modelling. A file named "USYD PROBE INFO.csv" contains information about the probe, including, the name of the probe, the corresponding API, and the coordinates. The data is uncalibrated.
Methodology: 
The data is obtained from the probes using the irrimaxlive API which is run through python and outputs an up-to-date soil moisture probe measurement file that is named after the probes location. The file is stored as "USYD API.py" and uses the "USYD PROBE INFO.csv" file as an input.
Date data collected or created: 2019-2025

Variables of moisture probe measurement files: 
- Date Time (the date and time of the soil moisture measurement)
- A (soil moisture (%VWC) readings)
- T (soil temperature (degrees Celsius) readings)
- The number inside the bracket after "A" or "T" is the depth (cm) of the measurement

Variables of "USYD PROBE INFO.csv"
- API Probe name (Name of the site in the API database)
- Product name (what is the site is known as in all documentation and in file names)
- Latitude
- Longitude

This data is stored in the USYD-RDS at \\shared.sydney.edu.au\research-data\PRJ-soilwaternowarchive. Data is available to third parties under terms and conditions to be agreed by the University of Sydney and GRDC and/or under a data supply and licence agreement. Please contact Dr Patrick Filippi at patrick.filippi@sydney.edu.au for further information or to request data access.