cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/txf7-kn43
title: Soil surface ESP DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil surface ESP is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Victoria River Water Resource Assessment (VIWRA) through the digital soil mapping process (DSM). This soil surface exchangeable sodium percent (ESP) raster data represents modelled data of ESP of the soil surface (&lt;0.10m depth) expressed as a percent and is derived from analysed site data and environmental covariates. Soil surface ESP is a parameter used in land suitability assessments of factors impacting water infiltration and potential erosion eg high ESP soils have reduced surface infiltration of rainfall and irrigation water. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO VIWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO VIWRA published report ‘Soils and land suitability for the Victoria catchment, Northern Territory’. A technical report from the CSIRO Victoria River Water Resource Assessment to the Government of Australia. The Victoria River Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Victoria catchment NT as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.25919/pyx8-x959
title: Soil surface salinity DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil surface salinity is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Victoria River Water Resource Assessment (VIWRA) through the digital soil mapping process (DSM). Soil salinity represents the salt content of the soil. This raster data represents a modelled dataset of salinity at the soil surface and is derived from field measured and laboratory analysed site data, and environmental covariates. Data values are: 1 Surface salinity absent, 2 Surface salinity present. Soil surface salinity is a parameter used in land suitability assessments as it hinders seed establishment and retards plant growth. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO VIWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO VIWRA published report ‘Soils and land suitability for the Victoria catchment, Northern Territory’. A technical report from the CSIRO Victoria River Water Resource Assessment to the Government of Australia. The Victoria River Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Victoria catchment NT as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.25919/mg4s-tg51
title: Soil surface structure DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil surface structure is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Victoria River Water Resource Assessment (VIWRA) through the digital soil mapping process (DSM). This soil surface structure raster data represents a modelled dataset of soil structure for the major part of the A horizons (surface soil) and is derived from field measured site data and environmental covariates. Data values are: 1 Single grain, 2 Massive or weak, 3 Moderate/strong and fine, 4 Moderate/strong and coarse as defined by the National Committee on Soil and Terrain 2009 (NCST) structure descriptions. Soil surface structure is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, erosion, seedling establishment and machinery workability. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO VIWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO VIWRA published report ‘Soils and land suitability for the Victoria catchment, Northern Territory’. A technical report from the CSIRO Victoria River Water Resource Assessment to the Government of Australia. The Victoria River Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Victoria catchment NT as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.25919/p6ep-4n68
title: Soil surface texture DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil surface texture is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Victoria River Water Resource Assessment (VIWRA) through the digital soil mapping process (DSM). Soil texture is determined by the percentage and size distribution of mineral (sand, silt and clay) particles of the soil finer than 2mm, carried out in the field. This soil surface texture raster data represents a modelled dataset of soil texture for the major part of the A horizons (surface soil) and is derived from field measured site data and environmental covariates. The soil texture classes are based on the field texture classes of the National Committee on Soil and Terrain 2009 (NCST) texture descriptions. Data values are: 1 Sandy, 2 Loamy, 3 Silty, 4 Clayey and the texture groupings behind these values are supplied in the word document READ_ME_Texture_Classes. Soil surface texture is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, water holding capacity, permeability, drainage, water and wind erosion, workability (soil adhesiveness), trafficability and soil nutrients levels. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO VIWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO VIWRA published report ‘Soils and land suitability for the Victoria catchment, Northern Territory’. A technical report from the CSIRO Victoria River Water Resource Assessment to the Government of Australia. The Victoria River Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Victoria catchment NT as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.25919/y0b5-0j08
title: AWC to 60cm DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: AWC to 60cm is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). AWC (available water capacity) indicates the ability of a soil to retain and supply water for plant growth. This AWC raster data represents a modelled dataset of AWC to 60cm (mm of water to 60cm of soil depth) and is derived from analysed site data, spline calculations and environmental covariates. AWC is a parameter used in land suitability assessments for rainfed cropping and for water use efficiency in irrigated land uses. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.25919/fvmk-vc23
title: AWC to 100cm DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: AWC to 100cm is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). AWC (available water capacity) indicates the ability of a soil to retain and supply water for plant growth. This AWC raster data represents a modelled dataset of AWC to 100cm (mm of water to 100cm of soil depth) and is derived from analysed site data, spline calculations and environmental covariates. AWC is a parameter used in land suitability assessments for rainfed cropping and for water use efficiency in irrigated land uses. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.17632/vz56g9jtfh
title: The sensitivity analysis of evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach

description: The sensitivity analysis of evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach
DOI: 10.17632/vz56g9jtfh.1
title: The sensitivity analysis of evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach

description: The sensitivity analysis of evaluating the impact of large-scale nucleic acid testing and home quarantine on COVID-19 prevention and control: a dynamic modeling approach
DOI: 10.25919/p85s-x021
title: AWC to 150cm DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: AWC to 150cm is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). AWC (available water capacity) indicates the ability of a soil to retain and supply water for plant growth. This AWC raster data represents a modelled dataset of AWC to 150cm (mm of water to 150cm of soil depth) and is derived from analysed site data, spline calculations and environmental covariates. AWC is a parameter used in land suitability assessments for rainfed cropping and for water use efficiency in irrigated land uses. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.6084/m9.figshare.c.3845857_d1.v1
title: Additional file 10: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Refined alignment for SIAH3 subtree. 13 vertebrate SIAH3 sequences, trimmed according to Methods. (FASTA 4 kb)
DOI: 10.25919/xx8z-3s35
title: Maximum clay% to 2m soil depth DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: Maximum clay% to 2m soil depth is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). This data indicates the maximum clay content reached in the soil profile to 2m depth expressed as a percent and is derived from analysed soil site data and environmental covariates. Clay percent is a parameter applied in the ringtank suitability rules in relation to construction and engineering properties for ringtanks. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.6084/m9.figshare.c.3845857_d2.v1
title: Additional file 11: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Refined alignment for SINA subtree. 20 invertebrate SINA sequences, trimmed according to Methods. (FASTA 7 kb)
DOI: 10.6084/m9.figshare.c.3845857_d3.v1
title: Additional file 12: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Output from MEGA7 Model Selection to generate Fig. 1. Excel spreadsheet related to selection of phylogenetic models for Fig. 1 tree, sorted by AICc values. (XLS 525 kb)
DOI: 10.6084/m9.figshare.c.3845857_d1
title: Additional file 10: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Refined alignment for SIAH3 subtree. 13 vertebrate SIAH3 sequences, trimmed according to Methods. (FASTA 4 kb)
DOI: 10.6084/m9.figshare.c.3845857_d2
title: Additional file 11: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Refined alignment for SINA subtree. 20 invertebrate SINA sequences, trimmed according to Methods. (FASTA 7 kb)
DOI: 10.25919/vwj8-xw56
title: Soil drainage DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: Soil drainage is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). This soil drainage raster data represents a modelled dataset of profile drainage as described by the National Committee on Soil and Terrain 2009 (NCST) and is derived from field measured site data and environmental covariates. Data values are: 1 Very poorly drained, 2 Poorly drained, 3 Imperfectly drained, 4 Moderately well drained, 5 Well drained, 6 Rapidly drained. Soil drainage is a parameter used in land suitability assessments of soil wetness in combination with soil permeability indicating site and soil conditions that result in poor soil aeration for plant growth eg excess water on the soil surface or in the soil profile caused from inadequate site drainage reduces crop growth and quality and restricts machinery use. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.
DOI: 10.6084/m9.figshare.c.3845857_d4.v1
title: Additional file 13: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Sequence alignment of the four consensus sequences (SINA, SIAH1, SIAH2, SIAH3). Consists of 4 sequences generated from the refined subalignments (see Methods). (FASTA 1 kb)
DOI: 10.6084/m9.figshare.c.3845857_d5.v1
title: Additional file 1: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Original alignment for SINA subtree. 20 invertebrate SINA sequences, no trimmed positions. (FASTA 11 kb)
DOI: 10.15468/dl.t64hfw
title: Occurrence Download

description: A dataset containing 823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bulgaria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Testudo Linnaeus, 1758"
 ]
}

 The dataset includes 823 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039285-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3845857_d3
title: Additional file 12: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Output from MEGA7 Model Selection to generate Fig. 1. Excel spreadsheet related to selection of phylogenetic models for Fig. 1 tree, sorted by AICc values. (XLS 525 kb)
DOI: 10.6084/m9.figshare.c.3845857_d4
title: Additional file 13: of Phylogenetic analysis of the SINA/SIAH ubiquitin E3 ligase family in Metazoa

description: Sequence alignment of the four consensus sequences (SINA, SIAH1, SIAH2, SIAH3). Consists of 4 sequences generated from the refined subalignments (see Methods). (FASTA 1 kb)
DOI: 10.25919/bt2d-t149
title: Gilgai microrelief DSM data of the Southern Gulf catchments (NT and Qld) generated by the Southern Gulf Water Resource Assessment

description: Gilgai microrelief is one of 18 attributes of soils chosen to underpin the land suitability assessment of the Southern Gulf Water Resource Assessment (SOGWRA) through the digital soil mapping process (DSM). Microrelief refers to variations in relief above and below the plane of the land surface due to shrink-swell clays. This gilgai microrelief raster data represents a modelled dataset of gilgai that has a vertical displacement &gt;= 0.30m (ie that is greater than 30cm deep) and is derived from field measured site data and environmental covariates. Data values are: 1 Gilgai microrelief absent, 2 Gilgai microrelief present. Gilgai microrelief is a parameter used in land suitability assessments as severe gilgai affects machinery use, irrigation practices and can affect the establishment of irrigation infrastructure. This raster data provides improved soil information used to underpin and identify opportunities and promote detailed investigation for a range of sustainable regional development options and was created within the ‘Land Suitability’ activity of the CSIRO SOGWRA. A companion dataset and statistics reflecting reliability of this data are also provided and can be found described in the lineage section of this metadata record. Processing information is supplied in ranger R scripts and attributes were modelled using a Random Forest approach. The DSM process is described in the CSIRO SOGWRA published report ‘Soils and land suitability for the Southern Gulf catchments’. A technical report from the CSIRO Southern Gulf Water Resource Assessment to the Government of Australia. The Southern Gulf Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Southern Gulf catchments NT and Qld as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development.