Title: Proximal sensing surveys across 36 farms from the grain-growing regions of Australia
Creator/s: Bishop T.F.A, Filippi P, Hoskin N, Whelan B, Pozza L
Contributor/s: Collyer B, Wright J 
Licence: Licence upon request
Date data collected or created: 2023-2025
Geographical coverage: Australia
Language: English
Software/hardware needed to access/use data: Microsoft excel
File formats the data is saved in: .csv

Description of data:
Proximal soil electromagnetic (EM) induction and gamma radiometric gamma surveys from 36 farms across Australia's dryland cropping regions. Surveyed fields correspond to those sampled in the 3D PAWC and constraint mapping project. Soil proximal surveys were compiled between 2023 and 2025. These surveys were collected to be used as modelling covariates in digital 3D soil maps that describe on-farm soil constraints and PAWC in a given area and can be used to inform management decisions. These have been collected at many sites across Australia to give an idea of the investment value for proximal surveys in different environments and soil types. Surveyed areas range from 200 - 2,000 ha at specific farms, while the total surveyed area represented in this dataset exceeds 26,000 ha of dryland cropping soils.
Methodology:
Proximal surveys were collected at 36 m swathe widths using gator mounted EM and gamma sensors. EM and gamma surveys are stored separately in .csv format for each farm. EM data consists of 4 x depth slices to a maximum of 300 cm from a DualEM sensor. Gamma data collected by an RSX-1 gamma-ray spectrometer consists of Potassium, Uranium and Thorium concentrations as well as total count. Coordinates are present in 'EPSG:4326' projection. Farms were surveyed between 2023 and 2025. The date of survey is available for all farms.

Variables:
- Longtitude
- Latitude
- Gamma (Potassium [%], Uranium [ppm], Thorium [ppm], total count [cps])
- Em (electromagnetic) (various depths [mS/m])


This data is stored in the USYD-RDS at \\shared.sydney.edu.au\research-data\PRJ-MLCons. Data access is restricted as the data contains information about private properties and any third-parties seeking use must request access from GRDC and the University of Sydney according to agreed terms and/or under a data supply and licence agreement.

For further enquiries, or to request access to the data, please contact Dr Patrick Filippi at patrick.filippi@sydney.edu.au