Comprehensive soil analysis data across 75 farms from the grain-growing regions of Australia
Field | Value | Language |
dc.contributor.author | Filippi, Patrick | |
dc.contributor.author | Bishop, Thomas | |
dc.contributor.author | Hoskin, Nikolas | |
dc.contributor.author | Whelan, Brett | |
dc.contributor.author | Pozza, Lianna | |
dc.contributor.author | Wright, Jenna | |
dc.contributor.author | Collyer, Bryn | |
dc.coverage.spatial | Australia | en_AU |
dc.coverage.temporal | 2023-2025 | en_AU |
dc.date.accessioned | 2025-07-29T05:38:47Z | |
dc.date.available | 2025-07-29T05:38:47Z | |
dc.date.issued | 2025-07-29 | |
dc.identifier.uri | https://hdl.handle.net/2123/34163 | |
dc.description.abstract | Soil analysis data from 75 farms across Australia's dryland cropping regions sampled in the '3D PAWC and constraint mapping' project. Sampling and analysis was compiled from several campaigns between 2023 and 2025. This data was collected to be used as one of the inputs to digital 3D soil maps that can describe the constraints and PAWC in a given area and can be used to inform management decisions. Using many sites across Australia gives an idea of how this approach works in different environments and soil types. Sites were selected using a stratified sampling approach where variation in spatial data layers was considered. Soil analysis results from 75 farms are stored in .csv format Soil analysis of 25 datapoints at 4 depth intervals to 1 m. Unless otherwise stated, depth intervals are 0 - 15 cm, 15 - 30 cm, 30 - 60 cm and 60 - 100cm. All analysis conducted by CSBP labs, aside from gravel content (determined in-house by USyd staff). Analysis of PSA texture (MIR), OC (Walkley-Black), electrical conductivity (1:5), pH (H20), pH (CaCl2), exchangeable cations (without prewash), Ammonium, Nitrate, Phosphorous, PBI and Gravel. units* Coordinates are present in 'EPSG:4326' projection. Farms were sampled in 3 different campaigns, with 30 farms sampled in 2023, 42 sampled in 2024, and the last 3 sampled in 2025. The date of sampling is available for all farms. GRDC Project UOS2206-009RTX The datasets with raw values are stored on the USYD-RDS at \\shared.sydney.edu.au\research-data\PRJ-MLCons. This data has restricted access and the data is de-identified as it contains information from private properties. Third-parties may be able to access the data subject to terms agreed to by the GRDC and the University of Sydney and/or a data supply and licence agreement. Please contact Dr Patrick Filippi ([email protected]) to request access to the data. | en_AU |
dc.language.iso | en | en_AU |
dc.rights | Other | en_AU |
dc.subject | Soil sensing | en_AU |
dc.subject | soil analysis | en_AU |
dc.subject | constraints | en_AU |
dc.subject | carbon | en_AU |
dc.subject | digital agriculture | en_AU |
dc.subject | electromagnetic survey | en_AU |
dc.subject | soil physicochemical properties | en_AU |
dc.title | Comprehensive soil analysis data across 75 farms from the grain-growing regions of Australia | en_AU |
dc.type | Dataset | en_AU |
dc.subject.asrc | 300206 | en_AU |
dc.subject.asrc | 410604 | en_AU |
dc.subject.asrc | 300202 | en_AU |
dc.relation.arc | Grains Research and Development Corporation | |
dc.description.method | Soil analysis data from all 75 farms across Australia's dryland cropping regions sampled in the '3D PAWC and constraint mapping' project. Sampling and analysis was compiled from several campaigns between 2023 and 2025. This data was collected to be used as one of the inputs to digital 3D soil maps that can describe the constraints and PAWC in a given area and can be used to inform management decisions. Using many sites across Australia gives an idea of how this approach works in different environments and soil types. Sites were selected using a stratified sampling approach where variation in spatial data layers was considered. Soil analysis results from 75 farms are stored in .csv format Soil analysis of 25 datapoints at 4 depth intervals to 1 m. Unless otherwise stated, depth intervals are 0 - 15 cm, 15 - 30 cm, 30 - 60 cm and 60 - 100cm. All analysis conducted by CSBP labs, aside from gravel content (determined in-house by USyd staff). Analysis of PSA texture (MIR), OC (Walkley-Black), electrical conductivity (1:5), pH (H20), pH (CaCl2), exchangeable cations (without prewash), Ammonium, Nitrate, Phosphorous, PBI and Gravel. units* Coordinates are present in 'EPSG:4326' projection. Farms were sampled in 3 different campaigns, with 30 farms sampled in 2023, 42 sampled in 2024, and the last 3 sampled in 2025. The date of sampling is available for all farms. | en_AU |
dc.rights.other | Data access is restricted and data is de-identified. Third-party access is subject to terms agreed upon by the GRDC and the University of Sydney and/or a data supply and licence agreement. Researchers must contact the GRDC or the University of Sydney to request access to the data. | en_AU |
dc.relation.other | GRDC Project UOS2206-009RTX | |
usyd.faculty | SeS faculties schools::Faculty of Science::School of Life and Environmental Sciences | en_AU |
usyd.faculty | SeS faculties schools::Faculty of Science::Sydney Institute of Agriculture (SIA) | en_AU |
workflow.metadata.only | Yes | en_AU |
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