cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/h31h-1c30
title: Soil drainage DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil drainage 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 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 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: 10.6084/m9.figshare.c.3845722_d5.v1
title: Additional file 5: of A statistical framework for analyzing deep mutational scanning data

description: Variants with higher scores than wild-type in the presence of oseltamivir. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.c.3845722_d4.v1
title: Additional file 4: of A statistical framework for analyzing deep mutational scanning data

description: Individually validated variants of the neuraminidase gene. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.c.3845722_d4
title: Additional file 4: of A statistical framework for analyzing deep mutational scanning data

description: Individually validated variants of the neuraminidase gene. (XLSX 9 kb)
DOI: 10.25919/5md7-dt47
title: Gilgai microrelief DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Gilgai microrelief 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). 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 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: 10.15468/dl.cvdr92
title: Occurrence Download

description: A dataset containing 7913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centroscymnus crepidater (Barbosa du Bocage & de Brito Capello, 1864)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 7913 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039284-241126133413365/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.3845722_d5
title: Additional file 5: of A statistical framework for analyzing deep mutational scanning data

description: Variants with higher scores than wild-type in the presence of oseltamivir. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.c.3845722_d6.v1
title: Additional file 6: of A statistical framework for analyzing deep mutational scanning data

description: Wild-type score percentile table. (XLSX 45 kb)
DOI: 10.25919/2fez-6624
title: Soil permeability DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil permeability 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 permeability describes the ability of a soil to transmit water internally by its least permeable layer (rate of water movement into and through the soil profile). This soil permeability raster data represents a modelled dataset of permeability 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 slowly permeable, 2 Slowly permeable, 3 Moderately permeable, 4 Highly permeable. Soil permeability is a parameter used in land suitability assessments of irrigation efficiency and soil wetness (in combination with soil drainage indicating site and soil conditions that result in poor soil aeration for 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: 10.6084/m9.figshare.c.3845722_d6
title: Additional file 6: of A statistical framework for analyzing deep mutational scanning data

description: Wild-type score percentile table. (XLSX 45 kb)
DOI: 10.25919/ab75-zf96
title: Soil rockiness DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil rockiness 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 rockiness represents areas that are excluded from agricultural production due to the abundance and size of rock outcrop, surface coarse fragments, profile coarse fragments and hard segregations. This raster data represents a modelled dataset of a set of rules applied to the above features for the top 0.10m of soil and is derived from field measured site data and environmental covariates. Data values are: 0 Not rocky, 1 Rocky. Descriptions of the rules defining rockiness are supplied with this data. Rockiness is a parameter used in land suitability assessments as restrictions relate to the intensity of rock picking required in land preparation, root crop harvesting, reduces crop growth and use of agricultural machinery particularly in the plough zone. 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: 10.6084/m9.figshare.c.3845722_d7
title: Additional file 7: of A statistical framework for analyzing deep mutational scanning data

description: C2 domain primer sequences. (XLSX 8 kb)
DOI: 10.25919/4sbp-wd86
title: Soil thickness DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil thickness 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 thickness raster data represents a modelled dataset of soil thickness presented as a positive number in meters eg a value of 1.12 shows the soil thickness is 1.12m deep and is derived from measured site data and environmental covariates. This data may underrepresent areas of soils deeper than 1.5m as the input data was mostly only recorded to a maximum of 1.5m where achievable being the extent of the hydraulic soil corer and the general agricultural soil depth. Soil thickness is a parameter used in land suitability assessment for plant edaphic requirements (root development and structural growth) and physical support and a component in other limitations including available water capacity (AWC). 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: 10.25919/1087-gk40
title: Soil erodibility DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil erodibility 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 erodibility is used to indicate the potential susceptibility of soil to erosion. This soil erodibility raster data represents a modelled dataset of k-factor (rate of runoff not included) calculated on a scale between 0.0 and 0.1 and is derived from measured and analysed site data, calculations and environmental covariates. Soil erodibility is a parameter used in land suitability assessments to identify areas where water erosion could be a risk causing soil loss (land degradation) and productivity decline and is applied in combination with slope categories. 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: 10.25919/9k6k-gj25
title: Soil generic group (SGG) DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil generic group (SGG) 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). SGG data has been created to simplify the complex information of individual soils and soil attributes for extension, planning and management. This data simultaneously covers a number of purposes: to be descriptive so as to assist non-expert communication regarding soil and resources; to be relatable to agricultural potential; and to align, where practical, to the classes of the Australian Soil Classification system (ASC) (Isbell and National Committee on Soil and Terrain, 2016). This SGG raster data represents a modelled dataset of 13 classes derived from rules applied to measured site data and modelled with environmental covariates. Descriptions of the 13 SGG classes, their rules and the spatial data value descriptions are supplied with this data. SGG mapping was also used as a minor input into the land suitability framework but primarily as a communication tool. 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: 10.17632/kkg2j3m8fw.1
title: Dataset on Heuristic Bias, Herding, and Financial Self-Efficacy: Moderated by Technology in Investment Behavior of Generation Z East Java in Capital Market

description: The dataset examines key variables influencing the investment interest of Generation Z in East Java, Indonesia, including heuristic bias, herding, financial self-efficacy, and the moderating role of access to technology. The data were collected through a structured questionnaire distributed to 360 respondents using cluster random sampling. Demographic variables such as age, gender, education level, occupation, monthly income, investment experience, and district of origin are also included to provide context to the participants' profiles.
The research tests six hypotheses to analyze both direct and moderating effects. The findings demonstrate that heuristic bias, herding, and financial self-efficacy have a positive and significant effect on investment interest. Meanwhile, technological access strengthens financial self-efficacy but weakens herding and strengthens heuristic bias, although not significantly, suggesting that internal cognitive factors dominate the heuristic influence.
The dataset highlights the importance of behavioral and psychological factors in shaping investment interest and illustrates the role of technology as both an enabler and disruptor in decision-making. The data are valuable for researchers, policymakers, and financial educators seeking to understand the dynamics of investment behavior among digital-native investors. In addition, this dataset provides insight into the development of financial education programs tailored to increase interest in more rational investment among Generation Z.
DOI: 10.25919/w6hk-a918
title: Soil surface pH DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil surface pH 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 surface pH is used as a general indicator or proxy of conditions that affect the availability of plant nutrients and potential nutrient toxicities and/or deficiencies. This soil surface pH raster data represents a modelled dataset of pH of the soil surface (&lt;0.10m) measured in standard pH units and is derived from field measurements, analysed site data and environmental covariates. The soil surface pH is a parameter used in land suitability assessments for indicating availability of nutrients for plant use or nutrient deficiencies and/or toxicities eg strong acidity or alkalinity may lead to reduced 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/dr83-3z85
title: Soil surface condition DSM data of the Victoria catchment NT generated by the Victoria River Water Resource Assessment

description: Soil surface condition 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 surface condition is described when dry as defined by the National Committee on Soil and Terrain 2009 (NCST) surface condition descriptions. This raster data represents a modelled dataset of soil surface condition and is derived from field measured site data and environmental covariates. Data values are: 1 Self mulching or self mulching and cracking, 2 Loose and/or soft, 3 Firm and/or hardsetting, 4 Surface crust, 5 Cracking. Soil surface condition is a parameter used in land suitability assessments of soil physical factors and affects; water infiltration, 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.