cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4225/08/530424cd31f64
title: FGARA Digital Soil Mapping Output - Microrelief

description: Microrelief is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of probability of gilgai that is deeper than 30cm. The values are from 0 being least probable to 1 being most probable. This data is derived from measured site data and environmental covariates. The data is used in assessment of water ponding that effects irrigation efficiency. For this project the areas of &gt;0.7 probability are said to have microrelief.
The attribute data file is named  "MicroReliefprobability.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "MicroRelief_CI.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/5304256a8cf05
title: FGARA Digital Soil Mapping Output - Organic Carbon

description: Organic Carbon is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of organic carbon measured in percent and is derived from laboratory analysis and environmental covariates.
The attribute data file is named  "OCPredictions.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "OC_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530425a65cdc0
title: FGARA Digital Soil Mapping Output - PAWC to 100cm

description: PAWC (plant available water capacity) to 100cm is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of PAWC to 100cm measured in mm of water to 100cm of soil depth and is derived from measured site data and environmental covariates. The data is used in assessment of the capacity of the soil to retain water for plant use.
The attribute data file is named  "PAWC100wSPredictions.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "PAWC100wS_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530425c89a2a8
title: FGARA Digital Soil Mapping Output - PAWC to 150cm

description: PAWC (plant available water capacity) to 150cm is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of PAWC to 150cm measured in mm of water to 150cm of soil depth and is derived from measured site data and environmental covariates. The data is used in assessment of the capacity of the soil to retain water for plant use.
The attribute data file is named  "PAWC150wSPredictions.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "PAWC150wS_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530425ee5d3fd
title: FGARA Digital Soil Mapping Output - PAWC to 50cm

description: PAWC (plant available water capacity) to 50cm is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of PAWC to 50cm measured in mm of water to 50cm of soil depth and is derived from measured site data and environmental covariates. The data is used in assessment of the capacity of the soil to retain water for plant use.
The attribute data file is named  "PAWC50wSPredictions.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "PAWC50wS_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/5304265f10462
title: FGARA Digital Soil Mapping Output - Rockiness

description: Rockiness is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of probability of rockiness defined by amount of coarse fragments, hard segregations or rock outcrop in the plough zone (see definition in below reference to technical report). The values are from 0 being least probable to 1 being most probable. This data is derived from measured site data and environmental covariates. The data is used as a restriction to use of agricultural machinery. For this project the areas of &gt;0.7 probability are said to be rocky.
The attribute data file is named  "Rockyprobability.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "Rockiness_CI69.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/53042696b8c8c
title: FGARA Digital Soil Mapping Output - Soil Depth

description: Soil depth is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of soil depth measured in 0.00m and is derived from measured site data and environmental covariates. It generally does not represent soils deeper than 1.5m as the input data was only recorded to a maximum of 1.5m where possible. The data is used in assessment of the requirements for physical support for the plant.
The attribute data file is named  "SoilDPredictions.tif".
Also included are data reflecting confidence of the main dataset.  This file is named "soilDepth_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/5304270e49f99
title: FGARA Digital Soil Mapping Output - Soil Drainage

description: Soil drainage is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of local soil wetness conditions using codes from the Australian Soil and Land Survey Field Handbook (ASLSFH). This data is derived from measured site data and environmental covariates. The data is used in assessment of soil subsurface and landscape position drainage relating to soil aeration for plant growth.
Codes are: 1 Very poorly drained, 2 Poorly drained, 3 Imperfectly drained, 4 Moderately well drained, 5 Well drained, 6 Rapidly drained.
The attribute data file is named  "DrainageClasses.tif".
Also included are data reflecting confidence of the main dataset.  This file is named "Drainage_CI.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/5304274a78a89
title: FGARA Digital Soil Mapping Output - Soil Erosivity

description: Soil erosivity is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of the USLE K factor measured on a scale between 0 - 1 and is derived from measured site data, calculations and environmental covariates. The data is used in assessment of potential soil erosion.
The attribute data file is named  "Kpredictions.tif".
Also included are data reflecting confidence of the main dataset.  This file is named "K_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530427fee757b
title: FGARA Digital Soil Mapping Output - Soil Generic Group

description: Soil generic group (SGG) data has been created for a communication tool to simplify the complex information of individual soils and soil attributes for extension, planning and management. This data groups attributes of soils based around the Australian Soil Classification 'Order' and in some cases splitting of Orders by sub classifications of depth and feature to fit better within each SGG. It is also one of 19 attributes of soils chosen to underpin the land suitability assessment of the FGARA project through the digital soil mapping process (DSM). This raster data represents a modelled surface of 8 Soil generic groups with definitions and explanations supplied with the data. This data is derived from classified site data and environmental covariates.
Values: 
1 Sand or loam over relatively friable clay subsoils; 
2 Friable non-cracking clay or clay loam soils; 
3 Seasonally or permanently wet soils; 
4 Red, yellow or grey loamy soils; 
Note no 5; 
6 Deep sandy soils; 
7 Shallow sandy and stony soils; 
8 Sand or loam over intractable clay subsoils; 
9 Cracking clay soils. 
The attribute data file is named  "GSGClasses.tif"
Also included are data reflecting confidence of the main dataset.  This file is named "GSG_CI.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/5304283a5c6d6
title: FGARA Digital Soil Mapping Output - Soil Permeability

description: Soil permeability is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of the ability of the soil to transmit water of its least permeable layer using codes from the Australian Soil and Land Survey Field Handbook (ASLSFH). This data is derived from measured site data and environmental covariates. The data is used in assessment of soil subsurface drainage relating to soil aeration for plant growth.
Codes are: 1 Very slowly permeable, 2 Slowly permeable, 3 Moderately permeable, 4 Highly permeable.
The attribute data file is named  "PermeabilityClasses.tif". 
Also included are data reflecting confidence of the main dataset.  This file is named "PermeabilityCI.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530428b2c9641
title: FGARA Digital Soil Mapping Output - Soil Surface Clay Percent

description: Soil surface clay percent is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of clay in the soil surface measured as a percent and is derived from laboratory, MIR and environmental covariates. The data is used in assessment of soil physical factors eg water infiltration, seedling establishment and machinery workability.
The attribute data file is named  "ClayPredictions.tif". 
Also included are data reflecting confidence of the main dataset.  This file is named "Clay_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530428ee86c0b
title: FGARA Digital Soil Mapping Output - Soil Surface Condition

description: Soil surface condition is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of the condition of the surface of the soil using codes from the Australian Soil and Land Survey Field Handbook (ASLSFH) and is derived from measured site data and environmental covariates. The data is used in assessment of soil physical factors eg water infiltration, seedling establishment and machinery workability.
Codes are: 1 Cracking and/or self mulching, 2 Loose and/or soft, 3 Firm and/or hardsetting, 4 Surface crust.
The attribute data file is named  "ConditionClasses.tif". 
Also included are data reflecting confidence of the main dataset.  This file is named "Condition_CI.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530429665098d
title: FGARA Digital Soil Mapping Output - Soil Surface pH

description: Soil surface pH is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of pH of the soil surface measured in standard pH units and is derived from measured site and laboratory data and environmental covariates. The data is used in assessment of soil nutrient toxicities, deficiencies and available nutrients to plants.
The attribute data file is named  "pH_lab_fieldPredictions.tif". 
Also included are data reflecting confidence of the main dataset.  This file is named "SurfacepH_SD.tif".  "SD" represents "standard deviation".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.
DOI: 10.4225/08/530429de72590
title: FGARA Digital Soil Mapping Output - Soil Surface Structure

description: Soil surface structure is one of 19 attributes of soils chosen to underpin the land suitability assessment of the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project through the digital soil mapping process (DSM). This raster data (in GeoTIFF format) represents a modelled surface of structure of surface soil using descriptions from the Australian Soil and Land Survey Field Handbook (ASLSFH). This data is derived from measured site data and environmental covariates. The data is used in assessment of soil physical factors eg water infiltration, seedling establishment and machinery workability.
Codes are: 1 Single grain, 2 Massive or weak, 3 Moderate/strong and fine, 4 Moderate/strong and coarse.
The attribute data file is named  "StructureClasses.tif". 
Also included are data reflecting confidence of the main dataset.  This file is named "Structure_CI.tif".  "CI" represents "confusion index".
The DSM process is described in the technical report: Bartley R, Thomas MF, Clifford D, Phillip S, Brough D, Harms D, Willis R, Gregory L, Glover M, Moodie K, Sugars M, Eyre L, Smith DJ, Hicks W and Petheram C (2013) Land suitability: technical methods. A technical report to the Australian Government for the Flinders and Gilbert Agricultural Resource Assessment (FGARA) project, CSIRO.
This  raster data provides improved soil information to identify opportunities and promote detailed investigation for a range of sustainable development options and was created within the “Land Suitability” component of FGARA projects.