19 datasets found
  1. g

    GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) | gimi9.com

    • gimi9.com
    Updated Mar 13, 2019
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    (2019). GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) | gimi9.com [Dataset]. https://gimi9.com/dataset/au_96ebf889-f726-4967-9964-714fb57d679b/
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    Dataset updated
    Mar 13, 2019
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This dataset was derived by the Bioregional Assessment Programme from the GEODATA TOPO 250K Series 3 dataset (GUID: a0650f18-518a-4b99-a553-44f82f28bb5f). The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset is a copy of the original Geodata Topo 250k Series 3 data, converted from Personal (Microsoft Access) Databases, to ESRI File Geodatabases. This was done to ensure .mdb lock files would not restrict map makers from using the topographic data in their cartographic products. The data and folders are structured the same as the original dataset. ## Dataset History A new file geodatabase schema was created in the same structure as the original .mdb data (including database and feature dataset names and projections). Feature Classes were then copied from the .mdb format to the .gdb format, using ArcCatalog 10.0. ## Dataset Citation Bioregional Assessment Programme (2014) GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb). Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/96ebf889-f726-4967-9964-714fb57d679b. ## Dataset Ancestors * Derived From GEODATA TOPO 250K Series 3

  2. Global map of tree density

    • figshare.com
    zip
    Updated May 31, 2023
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    Crowther, T. W.; Glick, H. B.; Covey, K. R.; Bettigole, C.; Maynard, D. S.; Thomas, S. M.; Smith, J. R.; Hintler, G.; Duguid, M. C.; Amatulli, G.; Tuanmu, M. N.; Jetz, W.; Salas, C.; Stam, C.; Piotto, D.; Tavani, R.; Green, S.; Bruce, G.; Williams, S. J.; Wiser, S. K.; Huber, M. O.; Hengeveld, G. M.; Nabuurs, G. J.; Tikhonova, E.; Borchardt, P.; Li, C. F.; Powrie, L. W.; Fischer, M.; Hemp, A.; Homeier, J.; Cho, P.; Vibrans, A. C.; Umunay, P. M.; Piao, S. L.; Rowe, C. W.; Ashton, M. S.; Crane, P. R.; Bradford, M. A. (2023). Global map of tree density [Dataset]. http://doi.org/10.6084/m9.figshare.3179986.v2
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    zipAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Crowther, T. W.; Glick, H. B.; Covey, K. R.; Bettigole, C.; Maynard, D. S.; Thomas, S. M.; Smith, J. R.; Hintler, G.; Duguid, M. C.; Amatulli, G.; Tuanmu, M. N.; Jetz, W.; Salas, C.; Stam, C.; Piotto, D.; Tavani, R.; Green, S.; Bruce, G.; Williams, S. J.; Wiser, S. K.; Huber, M. O.; Hengeveld, G. M.; Nabuurs, G. J.; Tikhonova, E.; Borchardt, P.; Li, C. F.; Powrie, L. W.; Fischer, M.; Hemp, A.; Homeier, J.; Cho, P.; Vibrans, A. C.; Umunay, P. M.; Piao, S. L.; Rowe, C. W.; Ashton, M. S.; Crane, P. R.; Bradford, M. A.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Crowther_Nature_Files.zip This description pertains to the original download. Details on revised (newer) versions of the datasets are listed below. When more than one version of a file exists in Figshare, the original DOI will take users to the latest version, though each version technically has its own DOI. -- Two global maps (raster files) of tree density. These maps highlight how the number of trees varies across the world. One map was generated using biome-level models of tree density, and applied at the biome scale. The other map was generated using ecoregion-level models of tree density, and applied at the ecoregion scale. For this reason, transitions between biomes or between ecoregions may be unrealistically harsh, but large-scale estimates are robust (see Crowther et al 2015 and Glick et al 2016). At the outset, this study was intended to generate reliable estimates at broad spatial scales, which inherently comes at the cost of fine-scale precision. For this reason, country-scale (or larger) estimates are generally more robust than individual pixel-level estimates. Additionally, due to data limitations, estimates for Mangroves and Tropical coniferous forest (as identified by WWF and TNC) were generated using models constructed from Topical moist broadleaf forest data and Temperate coniferous forest data, respectively. Because we used ecological analogy, the estimates for these two biomes should be considered less reliable than those of other biomes . These two maps initially appeared in Crowther et al (2015), with the biome map being featured more prominently. Explicit publication of the data is associated with Glick et al (2016). As they are produced, updated versions of these datasets, as well as alternative formats, will be made available under Additional Versions (see below).

    Methods: We collected over 420,000 ground-sources estimates of tree density from around the world. We then constructed linear regression models using vegetative, climatic, topographic, and anthropogenic variables to produce forest tree density estimates for all locations globally. All modeling was done in R. Mapping was done using R and ArcGIS 10.1.

    Viewing Instructions: Load the files into an appropriate geographic information system (GIS). For the original download (ArcGIS geodatabase files), load the files into ArcGIS to view or export the data to other formats. Because these datasets are large and have a unique coordinate system that is not read by many GIS, we suggest loading them into an ArcGIS dataframe whose coordinate system matches that of the data (see File Format). For GeoTiff files (see Additional Versions), load them into any compatible GIS or image management program.

    Comments: The original download provides a zipped folder that contains (1) an ArcGIS File Geodatabase (.gdb) containing one raster file for each of the two global models of tree density – one based on biomes and one based on ecoregions; (2) a layer file (.lyr) for each of the global models with the symbology used for each respective model in Crowther et al (2015); and an ArcGIS Map Document (.mxd) that contains the layers and symbology for each map in the paper. The data is delivered in the Goode homolosine interrupted projected coordinate system that was used to compute biome, ecoregion, and global estimates of the number and density of trees presented in Crowther et al (2015). To obtain maps like those presented in the official publication, raster files will need to be reprojected to the Eckert III projected coordinate system. Details on subsequent revisions and alternative file formats are list below under Additional Versions.----------

    Additional Versions: Crowther_Nature_Files_Revision_01.zip contains tree density predictions for small islands that are not included in the data available in the original dataset. These predictions were not taken into consideration in production of maps and figures presented in Crowther et al (2015), with the exception of the values presented in Supplemental Table 2. The file structure follows that of the original data and includes both biome- and ecoregion-level models.

    Crowther_Nature_Files_Revision_01_WGS84_GeoTiff.zip contains Revision_01 of the biome-level model, but stored in WGS84 and GeoTiff format. This file was produced by reprojecting the original Goode homolosine files to WGS84 using nearest neighbor resampling in ArcMap. All areal computations presented in the manuscript were computed using the Goode homolosine projection. This means that comparable computations made with projected versions of this WGS84 data are likely to differ (substantially at greater latitudes) as a product of the resampling. Included in this .zip file are the primary .tif and its visualization support files.

    References:

    Crowther, T. W., Glick, H. B., Covey, K. R., Bettigole, C., Maynard, D. S., Thomas, S. M., Smith, J. R., Hintler, G., Duguid, M. C., Amatulli, G., Tuanmu, M. N., Jetz, W., Salas, C., Stam, C., Piotto, D., Tavani, R., Green, S., Bruce, G., Williams, S. J., Wiser, S. K., Huber, M. O., Hengeveld, G. M., Nabuurs, G. J., Tikhonova, E., Borchardt, P., Li, C. F., Powrie, L. W., Fischer, M., Hemp, A., Homeier, J., Cho, P., Vibrans, A. C., Umunay, P. M., Piao, S. L., Rowe, C. W., Ashton, M. S., Crane, P. R., and Bradford, M. A. 2015. Mapping tree density at a global scale. Nature, 525(7568): 201-205. DOI: http://doi.org/10.1038/nature14967Glick, H. B., Bettigole, C. B., Maynard, D. S., Covey, K. R., Smith, J. R., and Crowther, T. W. 2016. Spatially explicit models of global tree density. Scientific Data, 3(160069), doi:10.1038/sdata.2016.69.

  3. w

    Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public...

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    zip
    Updated Jul 10, 2017
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    Bioregional Assessment Programme (2017). Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NWI5NDBhNTYtNjFlMi00MmI5LWFlODktY2JmYzcwMWViYWM5
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    zipAvailable download formats
    Dataset updated
    Jul 10, 2017
    Dataset provided by
    Bioregional Assessment Programme
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Clarence-Moreton subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Clarence-Moreton bioregion on 24 February 2016 (6d11ffbc-ea57-49cb-8e00-f97761e0c5d6). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Clarence-Moreton Asset database has a total count of 294961 Elements and 2708 Assets. In the public version of the Asset Clarence-Moreton database 60074 spatial Element features (~19%) have been removed from the Element List and Element Layer(s) and 729 spatial Assets (~24%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Clarence-Moreton bioregion on 24 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Clarence-Moreton bioregion product 1.3: Description of the water-dependent asset register and asset list for the Clarence-Moreton bioregion on 24 February 2016 , and the associated Water-dependent asset register and asset list for the Clarence-Moreton bioregion on 24 February 2016 .

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Clarence-Moreton bioregion on 24 February 2016, which this document describes, does contain receptor information, and the receptor information was removed from this public version.

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Clarence-Moreton bioregion on 24 February 2016 Public. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/ba1d4c6f-e657-4e42-bd3c-413c21c7b735.

    Dataset Ancestors

  4. d

    Asset database for the Gloucester subregion on 12 February 2016 Public v02

    • data.gov.au
    • researchdata.edu.au
    zip
    Updated Apr 13, 2022
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    Bioregional Assessment Program (2022). Asset database for the Gloucester subregion on 12 February 2016 Public v02 [Dataset]. https://data.gov.au/data/dataset/groups/5def411c-dbc4-4b75-b509-4230964ce0fa
    Explore at:
    zip(40299820)Available download formats
    Dataset updated
    Apr 13, 2022
    Dataset authored and provided by
    Bioregional Assessment Program
    License
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Gloucester subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    Under the Bioregional Assessment Technical Programme (BATP), a spatial assets database was developed for each bioregion and / or subregion. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    The spatial elements that represent assets were identified by regional natural resource management organisations and collated by ERIN into state databases using the Water Asset Information Tool (WAIT). These data were supplemented with additional information from appropriate Australian and state and territory government databases. The materiality of each asset was tried against a series of tests and the consequent decisions were also included in the asset database. Each asset database is therefore a rich collation of information about the assets and how they have been assessed.

    All assets and elements also have associated attribute data; these are stored in attribute tables, including associated lookup tables (LUTs). Some data in the asset database are not associated with spatial data; typically these data relate to the database itself e.g. versioning information

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Gloucester subregion on 12 February 2016 (72a47bec-1393-49d6-b379-0e48551d26a9). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Gloucester Asset database has a total count of 4029 Elements ( including 11 aspatial elements) and 229 Assets (including 11 aspatial Assets ) . In the public version of the Asset Gloucester database 789 (19%)> Elements (spatial features) have been removed from the Element List and spatial Element Layer(s) and 42 Assets (19%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Australia, Register of the National Estate (RNE) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    4) Fish Biodiversity Hotspot sampling data

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian.For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Purpose

    Used for Gloucester subregion for bioregional assessments

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Gloucester subregion on 12 February 2016

    • any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Gloucester subregion product 1.3: Description of the water-dependent asset register and asset list for the Gloucester subregion on 12 February 2016, and the associated Water-dependent asset register and asset list for the Gloucester subregion on 12 February 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Gloucester subregion on 12 February 2016 Public, which this document describes, does contain receptor information, but it was removed from this public version

    The source metadata was updated to meet the purpose of the Bioregional Assessment Programme

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Gloucester subregion on 12 February 2016 Public v02. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/5def411c-dbc4-4b75-b509-4230964ce0fa.

    Dataset Ancestors

  5. U

    Seamless Integrated Geologic Map Database of the Intermountain West: Bedrock...

    • data.usgs.gov
    • gimi9.com
    • +1more
    Updated Oct 21, 2024
    + more versions
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    United States Geological Survey (2024). Seamless Integrated Geologic Map Database of the Intermountain West: Bedrock Geology [Dataset]. http://doi.org/10.5066/P14NKVEZ
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    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2024
    Area covered
    Intermountain West
    Description

    This dataset is intended to provide seamless, integrated bedrock geologic mapping of the U.S. Intermountain West region and is funded by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Bedrock geology are included in this data release as an independent dataset at a variable resolution from 1:50,000 to 1:100,000 scale. No original interpretations are presented in this data set; rather, all interpretive data are assimilated from referenceable publications. Initial contributions to this data release are along an east-west transect that parallels 37-degrees north latitude extending from the Rio Grande Rift and Great Plains in the east to the Basin and Range and Sierra Nevada to the west. Other areas of the Intermountain West region will be incorporated over time. Data are presented as downloadable file geodatabase (*.gdb) and as features services that can be directly ingested into GIS software for analysis. This dataset is intended to be versioned regu ...

  6. g

    Aeromagnetic and gravity surveys of the Skaergaard intrusion in East...

    • gimi9.com
    Updated Aug 20, 2025
    + more versions
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    (2025). Aeromagnetic and gravity surveys of the Skaergaard intrusion in East Greenland, 1971 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_aeromagnetic-and-gravity-surveys-of-the-skaergaard-intrusion-in-east-greenland-1971/
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    Dataset updated
    Aug 20, 2025
    Area covered
    Greenland, Skaergaard intrusion
    Description

    Aeromagnetic and gravity surveys of the Skaergaard intrusion in East Greenland were carried out in July–August 1971 as part of a grant to the University of Oregon Center for Volcanology to further study the intrusion to refine the models of crystallization of the body. The total-intensity aeromagnetic survey was flown in early July 1971 at constant barometric altitude of 1.5 km (5000 ft) using a proton precession magnetometer with a nominal line spacing of 1 km. The gravity survey used 2 gravimeters in late July–August 1971 and acquired 168 stations of which 86 were at known altitudes (mainly sea level) and 82 had altitudes measured by altimetry. Finally, a ground vertical intensity magnetic traverse was completed from north to south across the intrusion together with collection of oriented hand specimens. The hand specimens were measured for remnant magnetization and density, together with density measurements of many more specimens collected by expedition geologists for other purposes. The rocks of the intrusion are strongly reversely polarized. After terrain correction and standard Bouguer gravity reduction, the gravity anomaly dataset was corrected for all rock above sea level using the density measurements of the various zones of the intrusion together with the topographic and geologic maps (variable density Bouguer density reduction). Please see the associated open-file report (Gravity and Magnetic surveys of the Skaergaard Intrusion) for a detailed, in-depth discussion about these surveys. This data release includes 24 files: 1. The Skaergaard_data_dictionary.csv file contains an explanation of the column headings in the Aeromag_points and Gravity_points .csv, .gdb, and .shp files, and the GroundProfile.csv file. 2. The Aeromag_points.csv file contains data sourced from the aeromagnetic survey, in comma delimited (.csv) format. 3. The Aeromag_points.gdb file contains data sourced from the aeromagnetic survey, in Oasis Montaj database (.gdb) format. 4. The Gravity_points.csv file contains data sourced from the gravity survey, in comma delimited (.csv) format. 5. The Gravity_points.gdb file contains data sourced from the gravity survey, in Oasis Montaj database (.gdb) format. 6. The GroundProfile.csv file contains data sourced from the ground profile stations survey, in comma delimited (.csv) format. 7. The SkMag1.gxf file is a grid representing the magnetic survey data, in grid exchange text (.gxf) format. 8. The SkMag1.tif file is a raster file representing the magnetic survey data, in georeferenced tag image file (.tif) format. 9. The SkMag1.grd file is a grid representing the magnetic survey data, in Oasis Montaj grid (.grd) format. 10. The SkGravVBGA1.gxf file is a grid representing the gravity survey data, in grid exchange text (.gxf) format. 11. The SkGravVBGA1.tif file is a grid representing the gravity survey data, in georeferenced tag image file (.tif) format. 12. The SkGravVBGA1.grd file is a grid representing the gravity survey data, in Oasis Montaj grid (.grd) format. 13. The GroundProfileStations.shp file contains the station locations from the ground profile stations survey, in Esri shapefile (.shp) format. 14. The Aeromag_points.shp file contains the data from the Aeromag_points.csv file, in Esri shapefile (.shp) format. 15. The Gravity_points.shp file contains the data from the Gravity_points.csv file, in Esri shapefile (.shp) format. 16. The Skaergaard_Intrusion_outline.shp file shows a generalized outline of the Skaergaard intrusion, in Esri shapefile (.shp) format. 17. The Figure19_contours.shp file contains lines shown in Figure 19 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 18. The Figure19_points.shp file contains points shown in Figure 19 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 19. The Figure20_contours.shp file contains lines shown in Figure 20 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 20. The Figure20_points.shp file contains points shown in Figure 20 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 21. The Figure21_contours.shp file contains lines shown in Figure 21 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 22. The Figure21_points.shp file contains points shown in Figure 21 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 23. The Figure22_contours.shp file contains lines shown in Figure 22 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format. 24. The Figure22_points.shp file contains points shown in Figure 22 of the associated 'Gravity and Magnetic surveys of the Skaergaard Intrusion' open-file report, in Esri shapefile (.shp) format.

  7. w

    Galilee Groundwater Registration Bores QLD DNRM Database v01

    • data.wu.ac.at
    • researchdata.edu.au
    zip
    Updated Mar 29, 2016
    + more versions
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    Bioregional Assessment Programme (2016). Galilee Groundwater Registration Bores QLD DNRM Database v01 [Dataset]. https://data.wu.ac.at/odso/data_gov_au/YTZkY2Y4OGYtMjI5YS00OGQzLTgxNTAtNWQ1OWU0YjMxMmQw
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    zipAvailable download formats
    Dataset updated
    Mar 29, 2016
    Dataset provided by
    Bioregional Assessment Programme
    Area covered
    Queensland
    Description

    Abstract

    This dataset was derived by the Bioregional Assessment Programme. The parent datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.

    Registered groundwater bores for the Galilee subregion and preliminary assessment extent (PAE) boudaries, clipped from the QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111 - Registrations - GIS (GUID: 3cb07f67-586d-4a8c-a477-e05c6092a6dd) dataset.

    This dataset is provided in GIS, File Geodatabase (.gdb) format and MS Excel tabular format.

    Dataset History

    QLD Department of Natural Resources and Mining Groundwater Database Extract 20131111 - Registrations - GIS (GUID: 3cb07f67-586d-4a8c-a477-e05c6092a6dd) dataset was clipped to the Galilee Basin subregion (Bioregional Assessment areas v03, GUID: 96dbf469-5463-4f4d-8fad-4214c97e5aac) and the Galilee PAE (Galilee Subregion whole potential assessment extent v02, GUID: 7d48db4e-d4fc-431e-89c5-a36b97073656). A point File Geodatabase (.gdb) Feature Class for each clipped output was created and attribute tables exported into excel format.

    Dataset Citation

    Bioregional Assessment Programme (XXXX) Galilee Groundwater Registration Bores QLD DNRM Database v01. Bioregional Assessment Derived Dataset. Viewed 29 March 2016, http://data.bioregionalassessments.gov.au/dataset/f76460a7-8fc3-4b2c-b175-cc553f5719f2.

    Dataset Ancestors

  8. d

    Seamless Integrated Geologic Map Database of the Intermountain West:...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 19, 2025
    + more versions
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    U.S. Geological Survey (2025). Seamless Integrated Geologic Map Database of the Intermountain West: Contributions to The National Geologic Map [Dataset]. https://catalog.data.gov/dataset/seamless-integrated-geologic-map-database-of-the-intermountain-west-contributions-to-the-n
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    Dataset updated
    Nov 19, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Intermountain West
    Description

    This dataset is intended to provide seamless, integrated, surficial geologic mapping of the U.S. Intermountain West region and is supported by the National Cooperative Geologic Mapping Program of the U.S. Geological Survey. Surficial geology included as part of this data release as independent of bedrock geologic mapping and is compiled at a variable resolution from 1:50,000 to 1:250,000 scale. No original interpretations are presented in this dataset; rather, all interpretive data are assimilated from referenceable publications. Initial contributions to this data release are along an east-west transect that parallels 37-degrees north latitude extending from the Rio Grande Rift and Great Plains in the east to the Basin and Range and Sierra Nevada to the west. Other areas of the Intermountain West region will be incorporated over time. Data are presented as a downloadable file geodatabase (*.gdb) and as features services that can be directly ingested into GIS software for analysis. This dataset is intended to be versioned regularly as new geologic map data is integrated. The data structure follows the Seamless Integrated Geologic Mapping extension (SIGMa) (Turner and others, 2022) to the Geologic Map Schema (GeMS) (USGS, 2020). U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema)—A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org/10.3133/tm11B10. Turner, K.J., Workman, J.B., Colgan, J.P., Gilmer, A.K., Berry, M.E., Johnstone, S.A., Warrell, K.F., Dechesne, M., VanSistine, D.P., Thompson, R.A., Hudson, A.M., Zellman, K.L., Sweetkind, D., and Ruleman, C.A., 2022, The Seamless Integrated Geologic Mapping (SIGMa) extension to the Geologic Map Schema (GeMS): U.S. Geological Survey Scientific Investigations Report 2022–5115, 33 p., https://doi.org/10.3133/ sir20225115.

  9. d

    Asset database for the Cooper subregion on 12 May 2016 Public

    • data.gov.au
    • researchdata.edu.au
    • +1more
    zip
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). Asset database for the Cooper subregion on 12 May 2016 Public [Dataset]. https://data.gov.au/data/dataset/bffa0c44-c86f-4f81-8070-2f0b13e0b774
    Explore at:
    zip(119227113)Available download formats
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Cooper subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Cooper subregion on 12 May 2016 (90230311-b2e7-4d4d-a69a-03daab0d03cc). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Cooper Asset database has a total count of 63910 Elements and 1 611 Assets. In the public version of the Asset Cooper database 6209 spatial Element features (~10%) have been removed from the Element List and Element Layer(s) and 47 spatial Assets (~3%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification (9be10819-0e71-4d8d-aae5-f179012b6906)

    4) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Cooper subregion on 12 May 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Cooper subregion product 1.3: Description of the water-dependent asset register and asset list for the Cooper subregion on 12 May 2016, and the associated Water-dependent asset register and asset list for the Cooper subregion on 12 May 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Cooper subregion on 12 May 2016, which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Cooper subregion on 12 May 2016 Public. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/bffa0c44-c86f-4f81-8070-2f0b13e0b774.

    Dataset Ancestors

  10. d

    Asset database for the Gwydir subregion on 11 March 2016 Public

    • data.gov.au
    • researchdata.edu.au
    • +1more
    zip
    Updated Apr 13, 2022
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    Bioregional Assessment Program (2022). Asset database for the Gwydir subregion on 11 March 2016 Public [Dataset]. https://data.gov.au/dataset/da8da372-0242-48df-bdfc-adad93784e4e
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 13, 2022
    Dataset provided by
    Bioregional Assessment Program
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Gwydir subregion as part of the …Show full descriptionAbstract This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Gwydir subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems. The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements. This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Gwydir subregion on 11 March 2016 (089f3ab8-74cf-41b8-9597-c6e55b0adcef).The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables. The restricted version of the Gwydir Asset database has a total count of 24789 Elements and 1369 Assets. In the public version of the Asset Gwydir database 11394 spatial Element features (~46%) have been removed from the Element List and Element Layer(s) and 119 spatial Assets (~9%) have been removed from the spatial Asset Layer(s) The elements/assets removed from the restricted Asset Database are from the following data sources: Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only)( 9948195e-3d3b-49dc-96d2-ea7765297308) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0) 4)Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6) These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset. Dataset History The public version of the asset database retains all of the unrestricted components of the Asset database for the Gwydir subregion on 11 March 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Gwydir subregion product 1.3: Description of the water-dependent asset register and asset list for the Gwydir subregion on 11 March 2016, and the associated Water-dependent asset register and asset list for the Gwydir subregion on 11 March 2016. Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent. Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database. Development of the Asset Register from the Asset database: Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3. The rule sets are applied as follows: M0 M1 M2 Result No n/a n/a Asset is not included in the asset list or the water-dependent asset register (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register (≠ No) Yes No Asset included in published asset list but not in water dependent asset register (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database. At this stage of its development, the Asset database for the Gwydir subregion on 11 March 2016, which this document describes, does not contain receptor information. Dataset Citation Bioregional Assessment Programme (2013) Asset database for the Gwydir subregion on 11 March 2016 Public. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/cce59770-99b8-46d1-87c6-582920e0687a. Dataset Ancestors Derived From NSW Office of Water GW licence extract linked to spatial locations NIC v2 (28 February 2014) Derived From NSW Office of Water Surface Water Entitlements Locations v1_Oct2013 Derived From Travelling Stock Route Conservation Values Derived From NSW Wetlands Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only Derived From Climate Change Corridors for Nandewar and New England Tablelands Derived From NSW Office of Water Surface Water Licences in NIC linked to locations v1 (22 April 2014) Derived From Birds Australia - Important Bird Areas (IBA) 2009 Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129 Derived From Environmental Asset Database - Commonwealth Environmental Water Office Derived From NSW Office of Water Surface Water Offtakes - NIC v1 20131024 Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA) Derived From Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only) Derived From Asset database for the Gwydir subregion on 11 March 2016 Derived From Ramsar Wetlands of Australia Derived From Native Vegetation Management (NVM) - Manage Benefits Derived From Asset database for the Gwydir subregion on 24 August 2015 Derived From Key Environmental Assets - KEA - of the Murray Darling Basin Derived From Asset database for the Gwydir subregion on 8 May 2015 Derived From National Heritage List Spatial Database (NHL) (v2.1) Derived From Great Artesian Basin and Laura Basin groundwater recharge areas Derived From NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions Derived From New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports Derived From New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases Derived From NSW Office of Water Groundwater licences extract linked to spatial locations NIC v3 (13 March 2014) Derived From Australia - Species of National Environmental Significance Database Derived From Ecological assets of the Gwydir wetlands and floodplain 2008 VIS_ID 3923 Derived From NSW Office of Water Groundwater Licence Extract NIC- Oct 2013 Derived From Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal Derived From NSW Office of Water Groundwater Entitlements Spatial Locations Derived From National Groundwater Dependent Ecosystems (GDE) Atlas Derived From Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public) Derived From Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)

  11. Asset database for the Galilee subregion on 04 January 2016 Public

    • researchdata.edu.au
    • data.wu.ac.at
    Updated Sep 16, 2016
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    Bioregional Assessment Program (2016). Asset database for the Galilee subregion on 04 January 2016 Public [Dataset]. https://researchdata.edu.au/asset-database-galilee-2016-public/2991538
    Explore at:
    Dataset updated
    Sep 16, 2016
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Bioregional Assessment Program
    Area covered
    Galilee
    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Galilee subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Galilee subregion on 04 January 2016 (12ff5782-a3d9-40e8-987c-520d5fa366dd);. The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Galilee Asset database has a total count of 403 918 Elements and 4 426 Assets. In the public version of the Asset GalileeGalilee database 13759 spatial Element features (\~3%) have been removed from the Element List and Element Layer(s) and 352 spatial Assets (\~8%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6)

    2) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only) (9948195e-3d3b-49dc-96d2-ea7765297308)

    3) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    4) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    5) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Galilee subregion on 04 January 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Cooper subregion product 1.3: Description of the water-dependent asset register and asset list for the Galilee subregion on 04 January 2016, and the associated Water-dependent asset register and asset list for the Galilee subregion on 04 January 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0\tM1\tM2\tResult

    No\tn/a\tn/a\tAsset is not included in the asset list or the water-dependent asset register

    (≠ No)\tNo\tn/a\tAsset is not included in the asset list or the water-dependent asset register

    (≠ No)\tYes\tNo\tAsset included in published asset list but not in water dependent asset register

    (≠ No)\tYes\tYes\tAsset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the for the Galilee subregion on 04 January 2016, which this document describes, does not contain any receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2013) Asset database for the Galilee subregion on 04 January 2016 Public. Bioregional Assessment Derived Dataset. Viewed 10 December 2018, http://data.bioregionalassessments.gov.au/dataset/eb4cf797-9b8f-4dff-9d7a-a5dfbc8d2bed.

    Dataset Ancestors

  12. a

    HydroCorrected Digital Elevation Model for Hampton Roads - 1 Meter

    • vacores-odu-gis.hub.arcgis.com
    Updated Nov 21, 2024
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    Old Dominion University (2024). HydroCorrected Digital Elevation Model for Hampton Roads - 1 Meter [Dataset]. https://vacores-odu-gis.hub.arcgis.com/datasets/hydrocorrected-digital-elevation-model-for-hampton-roads-1-meter
    Explore at:
    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Old Dominion University
    Area covered
    Hampton Roads
    Description

    The purpose of this digital elevation model (DEM) is to assist in flood modeling. It was hydro-corrected to allow for a more accurate modeling of water flow in Hampton Roads.Download here: https://arcg.is/1jeS5P To create the hydro-corrected DEM of the AIST watersheds as seen on the right, we followed a method developed by Allen and Howard (2015). Utilizing NHD flowline layer, we first divided flowline into 30m segment, created 5m buffer zone for each segment, and assigned a unique buffer zone identification (ID) number to each zone. Then, the LiDAR point clouds were extracted based on the buffer zones and converted to point data. Spatial join analysis was conducted to assign buffer zone ID to LiDAR point data, and the minimum values within each buffer zone were extracted and joined back to the flowline buffer zones based on the ID numbers. We then converted the buffer zones from vector to raster format with 1m resolution. With the conditional evaluation function (i.e., Con), we combined the rasterized buffer zones with the original DEM, that is, if a cell of the buffer zone raster had a lower elevation value compared to the original DEM, then the lower value replaced the original one.Reference: Allen, T. R., & Howard, R. (2015). Improving low-relief coastal LiDAR DEMs with hydro-conditioning of fine-scale and artificial drainages. Frontiers in Earth Science, 3, 72.Link to meta data xml file and readme here.NOTE: This downloads a geo-database tile package given the large file size. You will need software to read a .gdb, or geo-database.

  13. w

    Asset database for the Central West subregion on 16 February 2016 Public

    • data.wu.ac.at
    • researchdata.edu.au
    zip
    Updated Feb 8, 2017
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    Bioregional Assessment Programme (2017). Asset database for the Central West subregion on 16 February 2016 Public [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NDNkNTIzYmYtYTk3ZS00M2EyLWJjOTItNzhjZjU5YWUxZjUy
    Explore at:
    zip(248650212.0)Available download formats
    Dataset updated
    Feb 8, 2017
    Dataset provided by
    Bioregional Assessment Programme
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Central West subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Central West subregion on 16 February 2016 (8ac1d434-7697-4a8f-9908-814e8daf4604). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Central West Asset database has a total count of 104808 Elements and 1036 Assets. In the public version of the Asset Central West database 57717 spatial Element features (~55%) have been removed from the Element List and Element Layer(s) and 124spatial Assets (~12%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6)

    2) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only)( 9948195e-3d3b-49dc-96d2-ea7765297308)

    3) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    4)Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    5) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Central West subregion on 16 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Central West subregion product 1.3: Description of the water-dependent asset register and asset list for the Central West subregion on 16 February 2016, and the associated Water-dependent asset register and asset list for the Central West subregion on 16 February 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Central West subregion on 16 February 2016, which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2013) Asset database for the Central West subregion on 16 February 2016 Public. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/546107ad-27b0-4432-b17e-8876e7c9769d.

    Dataset Ancestors

  14. g

    NSW Geocoded Addressing Theme | gimi9.com

    • gimi9.com
    + more versions
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    NSW Geocoded Addressing Theme | gimi9.com [Dataset]. https://gimi9.com/dataset/au_nsw-1-9b2990428ef4411da7c61ae56b2c6806/
    Explore at:
    Area covered
    New South Wales
    Description

    Export DataAccess APIGeocoded Addressing ThemePlease Note WGS 84 service aligned to GDA94 This dataset has spatial reference [WGS 84 ≈ GDA94] which may result in misalignments when viewed in GDA2020 environments. A similar service with a ‘multiCRS’ suffix is available which can support GDA2020, GDA94 and WGS 84 ≈ GDA2020 environments. In due course, and allowing time for user feedback and testing, it is intended that the original service name will adopt the new multiCRS functionality.Metadata Portal Metadata InformationContent TitleNSW Geocoded Addressing ThemeContent TypeHosted Feature LayerDescriptionThe Geocoded Urban and Rural Addressing System (GURAS) is a ‘property’ based address database. Each property polygon captured within GURAS has a unique numeric identifier and contains at least one authoritative address which is sourced from local councils via the valuation of land database, also managed by LPI-Valnet. Properties may contain more than one address sourced from various other organisations.The GURAS database is commonly used by all levels of government for emergency services, computer aided dispatch systems, postal and delivery services, and to identify location.Address points are generally system generated points and do not always have a direct correlation to the dwelling location. In circumstances where there are multiple disparate lots for one property, particularly in rural addresses, the system generated address points may not reside within the correct property polygon. Owner's names are not part of the GURAS database, nor does GURAS contain any personal information.The Geocoded Addressing Theme is a single source of truth for address information in NSW, GURAS eliminates the costly duplication of effort where all local councils, Australia Post, emergency service organisations and other agencies and businesses maintained individual address databases with different creation and distribution regimes.Geocoded Addressing Data Theme includes the following feature classes:Waypoint - A WayPoint is a point located on the RoadSegment feature class for an address where the road naming attributes from both the AddressString and the RoadSegment classes are identical. Indicates the approximate entry point of for an address.Address Point - A point feature class used to spatially locate an address / address stringThe Address Point Layer includes the below subtypes:BuildingHomesteadMonumentPropertyUnit/StrataOtherPro Way - A Proway is a line that spatially connects the AddressPoint and WayPoint.The Pro Way Layer includes the following subtypes:RightLeftOtherInitial Publication Date06/04/2020Data Currency01/01/3000Data Update FrequencyOtherContent SourceData provided filesFile TypeESRI File Geodatabase (*.gdb)Attribution© State of New South Wales (Spatial Services, a business unit of the Department of Customer Service NSW). For current information go to spatial.nsw.gov.auData Theme, Classification or Relationship to other DatasetsNSW Addresses, Location and Positioning Theme of the Foundation Spatial Data FrameworkAccuracyThis dataset was captured by utilising the best available source at a variety of scales and accuracies, ranging from 1:500 to 1:250 000 according to the National Mapping Council of Australia, Standards of Map Accuracy (1975). Therefore, the position of the feature instance will be within 0.5mm at map scale for 90% of the well-defined points. That is, 1:500 = 0.25m, 1:2000 = 1m, 1:4000 = 2m, 1:25000 = 12.5m, 1:50000 = 25m and 1:100000 = 50m. A program to upgrade the Spatial location and accuracy of data id ongoing.Spatial Reference System (dataset)GDA94Spatial Reference System (web service)EPSG:3857WGS84 Equivalent ToGDA94Spatial ExtentFull StateContent LineageFor additional information, please contact us via the Spatial Services Customer HubData ClassificationUnclassifiedData Access PolicyOpenData QualityFor additional information, please contact us via the Spatial Services Customer HubTerms and ConditionsCreative CommonsStandard and SpecificationOpen Geospatial Consortium (OGC) implemented and compatible for consumption by common GIS platforms. Available as either cache or non-cache, depending on client use or requirement. Information about the “Feature Class” and “Domain Name” descriptions for the NSW Administrative Boundaries Theme can be found in the GURAS Delivery Model Data DictionarySome of Spatial Services Datasets are designed to work together for example “NSW Address Point” and “NSW Address String Table”, NSW Property (Polygon) and NSW Property Lot Table and NSW Lot (polygons). To do this you need to add a “Spatial Join”.A Spatial join is a GIS operation that affixes data from one feature layer’s attribute table to another from a spatial perspective.To see how Address, Property and Lot Geometry data and Tables can be joined together download the Data Model Document. This will show what attributes in the datasets can be linked.Data CustodianDCS Spatial Services346 Panorama AveBathurst NSW 2795Point of ContactPlease contact us via the Spatial Services Customer HubData AggregatorDCS Spatial Services346 Panorama AveBathurst NSW 2795Data DistributorDCS Spatial Services346 Panorama AveBathurst NSW 2795Additional Supporting InformationData DictionariesTRIM Number

  15. w

    Asset database for the Hunter subregion on 24 February 2016 Public 20170112...

    • data.wu.ac.at
    • researchdata.edu.au
    zip
    Updated Mar 20, 2017
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    Bioregional Assessment Programme (2017). Asset database for the Hunter subregion on 24 February 2016 Public 20170112 v02 [Dataset]. https://data.wu.ac.at/odso/data_gov_au/NTEzYzUyN2EtZWY0NS00NTUxLWFlMDktMWIzMDhjYjgzNzY2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 20, 2017
    Dataset provided by
    Bioregional Assessment Programme
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Hunter subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Hunter subregion on 24 February 2016 (a39290ac-3925-4abc-9ecb-b91e911f008f). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Hunter Asset database has a total count of 182 277 Elements (and 2 545 Assets). In the public version of the Asset Hunter database 69 330 spatial Element features (~38%) have been removed from the Element List and Element Layer(s) and 1124 spatial Assets (~44%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Threatened migratory shorebird habitat mapping DECCW May 2006 (cc0b62a0-ded7-4c14-b954-1552337b395e)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (878f6780-be97-469b-8517-54bd12a407d0)

    3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    4) Hunter CMA GDEs (DPI pre-release) - RESTRICTED - Metadata only (469d6d2e-900f-47a7-a137-946b89b3d188)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Purpose

    The data are for any external party that wants to access the asset database used for the assessment. The BATP is required to release these wherever possible, to comply with the requirements of transparency and repeatability.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Hunter subregion on 24 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published in product 1.3: Description of the water-dependent asset register and asset list for the Hunter subregion on 24 February 2016, and the associated Water-dependent asset register and asset list for the Hunter subregion on 24 February 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Hunter subregion on 24 February 2016, which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2015) Asset database for the Hunter subregion on 24 February 2016 Public 20170112 v02. Bioregional Assessment Derived Dataset. Viewed 20 March 2017, http://data.bioregionalassessments.gov.au/dataset/9d16592c-543b-42d9-a1f4-0f6d70b9ffe7.

    Dataset Ancestors

  16. d

    Asset database for the Pedirka subregion on 08 March 2016 Public

    • data.gov.au
    • researchdata.edu.au
    zip
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). Asset database for the Pedirka subregion on 08 March 2016 Public [Dataset]. https://data.gov.au/data/dataset/activity/c104deb9-5969-4427-977a-12f284564c93
    Explore at:
    zip(161405647)Available download formats
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Area covered
    Pedirka Desert
    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Pedirka subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Pedirka subregion on 08 March 2016 (336879f0-470f-4f9d-826c-e6c8653657eb). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Pedirka Asset database has a total count of 62716 Elements and 1305 Assets. In the public version of the Pedirka Asset database 8262 spatial Element features (~13%) have been removed from the Element List and Element Layer(s) and 135 spatial Assets (~10%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Northern Territory - Lake Eyre Basin - Wetlands Mapping (41d2ecc8-7700-4cc5-b80c-2092596d6f7e)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification (9be10819-0e71-4d8d-aae5-f179012b6906)

    4) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Pedirka subregion on 08 March 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Pedirka subregion product 1.3: Description of the water-dependent asset register and asset list for the Pedirka subregion on 08 March 2016, and the associated Water-dependent asset register and asset list for the Pedirka subregion on 08 March 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Pedirka subregion on 08 March 2016 (336879f0-470f-4f9d-826c-e6c8653657eb), which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Pedirka subregion on 08 March 2016 Public. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/c104deb9-5969-4427-977a-12f284564c93.

    Dataset Ancestors

  17. d

    Asset database for the Namoi subregion on 18 February 2016 Public

    • data.gov.au
    • researchdata.edu.au
    • +1more
    zip
    Updated Apr 13, 2022
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    Bioregional Assessment Program (2022). Asset database for the Namoi subregion on 18 February 2016 Public [Dataset]. https://data.gov.au/data/dataset/groups/3134fa6b-f876-46dd-b26b-88d46d424185
    Explore at:
    zip(232174036)Available download formats
    Dataset updated
    Apr 13, 2022
    Dataset authored and provided by
    Bioregional Assessment Program
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Namoi River
    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Namoi subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Namoi subregion on 18 February 2016 (22061f2c-e86d-4ca8-9860-c349c2513fd8). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Namoi Asset database has a total count of 44 722 Elements and 2174 Assets. In the public version of the Asset Namoi database 13750 spatial Element features (~31%) have been removed from the Element List and Element Layer(s) and 99 spatial Assets (~5%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6)

    2) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only)( 9948195e-3d3b-49dc-96d2-ea7765297308)

    3) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    4)Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    5) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Purpose

    The Asset List Database was developed to spatially identify water dependent assets found within the Namoi subregion.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Namoi subregion on 18 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Namoi subregion product 1.3: Description of the water-dependent asset register and asset list for the Namoi subregion on 18 February 2016, and the associated Water-dependent asset register and asset list for the Namoi subregion on 18 February 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Namoi subregion on 18 February 2016, which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2015) Asset database for the Namoi subregion on 18 February 2016 Public. Bioregional Assessment Derived Dataset. Viewed 11 December 2018, http://data.bioregionalassessments.gov.au/dataset/3134fa6b-f876-46dd-b26b-88d46d424185.

    Dataset Ancestors

  18. w

    Asset database for the Arckaringa subregion on 04 March 2016 Public

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    zip
    Updated Feb 7, 2017
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    Bioregional Assessment Programme (2017). Asset database for the Arckaringa subregion on 04 March 2016 Public [Dataset]. https://data.wu.ac.at/odso/data_gov_au/NGRiOGI0MjQtZTU2Mi00YmNjLTg0MmEtZDM2ZTQ3MmUxMzEx
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    zip(364924627.0)Available download formats
    Dataset updated
    Feb 7, 2017
    Dataset provided by
    Bioregional Assessment Programme
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Arckaringa subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Arckaringa subregion on 04 March 2016 (c6fa12de-6b4b-47b9-8b8e-5ad9a4ccc4c0). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Arckaringa Asset database has a total count of 94167 Elements and 2373 Assets. In the public version of the Arckaringa Asset database 11570 spatial Element features (~12%) have been removed from the Element List and Element Layer(s) and 152 spatial Assets (~6%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Northern Territory - Lake Eyre Basin - Wetlands Mapping (41d2ecc8-7700-4cc5-b80c-2092596d6f7e)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Lake Eyre Basin (LEB) Aquatic Ecosystems Mapping and Classification (9be10819-0e71-4d8d-aae5-f179012b6906)

    4) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Arckaringa subregion on 04 March 2016- any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Cooper subregion product 1.3: Description of the water-dependent asset register and asset list for the Arckaringa subregion on 04 March 2016, and the associated Water-dependent asset register and asset list for the Arckaringa subregion on 04 March 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Arckaringa subregion on 04 March 2016, which this document describes, does not contain receptor information.

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Arckaringa subregion on 04 March 2016 Public. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/f64b6216-7b7a-4a7e-9420-d1a801d59d5d.

    Dataset Ancestors

  19. w

    Asset database for the Maranoa-Balonne-Condamine subregion on 05 February...

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    zip
    Updated Feb 8, 2017
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    Bioregional Assessment Programme (2017). Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016 Public [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YjI1YTBkYmQtNWNiOC00MTU2LThlODgtOTI2ZGNhZjE0N2Ey
    Explore at:
    zip(1013462537.0)Available download formats
    Dataset updated
    Feb 8, 2017
    Dataset provided by
    Bioregional Assessment Programme
    Area covered
    Condamine
    Description

    Abstract

    This data set holds the publicly-available version of the database of water-dependent assets that was compiled for the bioregional assessment (BA) of the Maranoa-Balonne-Condamine subregion as part of the Bioregional Assessment Technical Programme. Though all life is dependent on water, for the purposes of a bioregional assessment, a water-dependent asset is an asset potentially impacted by changes in the groundwater and/or surface water regime due to coal resource development. The water must be other than local rainfall. Examples include wetlands, rivers, bores and groundwater dependent ecosystems.

    The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets including Natural Resource Management regions, and Australian and state and territory government databases. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived. A single asset is represented spatially in the asset database by single or multiple spatial features (point, line or polygon). Individual points, lines or polygons are termed elements.

    This dataset contains the unrestricted publicly-available components of spatial and non-spatial (attribute) data of the (restricted) Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016 (a84e7d3c-f119-4371-8c8d-ff5ce94fd73d). The database is provided primarily as an ESRI File geodatabase (.gdb), which is able to be opened in readily available open source software such as QGIS. Other formats include the Microsoft Access database (.mdb in ESRI Personal Geodatabase format), industry-standard ESRI Shapefiles and tab-delimited text files of all the attribute tables.

    The restricted version of the Maranoa-Balonne-Condamine Asset database has a total count of 528573 Elements and 2905 Assets In the public version of the Asset Maranoa-Balonne-Condamine database 26529 (5%) Elements (spatial features) have been removed from the Element List and spatial Element Layer(s) and 1082 Assets (38%) have been removed from the spatial Asset Layer(s)

    The elements/assets removed from the restricted Asset Database are from the following data sources:

    1) Species Profile and Threats Database (SPRAT) - RESTRICTED - Metadata only) (7276dd93-cc8c-4c01-8df0-cef743c72112)

    2) Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) (Internal 878f6780-be97-469b-8517-54bd12a407d0)

    3) Communities of National Environmental Significance Database - RESTRICTED - Metadata only (c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)

    4) Environmental Asset Database - Commonwealth Environmental Water Office - RESTRICTED (Metadata only) (29fd1654-8aa1-4cb3-b65e-0b37698ac9a6)

    5) Key Environmental Assets - KEA - of the Murray Darling Basin RESTRICTED (Metadata only)( 9948195e-3d3b-49dc-96d2-ea7765297308)

    These important assets are included in the bioregional assessment, but are unable to be publicly distributed by the Bioregional Assessment Programme due to restrictions in their licensing conditions. Please note that many of these data sets are available directly from their custodian. For more precise details please see the associated explanatory Data Dictionary document enclosed with this dataset.

    Dataset History

    The public version of the asset database retains all of the unrestricted components of the Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016 - any material that is unable to be published or redistributed to a third party by the BA Programme has been removed from the database. The data presented corresponds to the assets published Maranoa-Balonne-Condamine subregion product 1.3: Description of the water-dependent asset register and asset list for the Maranoa-Balonne-Condamine subregion on 05 February 2016, and the associated Water-dependent asset register and asset list for the Maranoa-Balonne-Condamine subregion on 05 February 2016.

    Individual spatial features or elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). In accordance to BA submethodology M02: Compiling water-dependent assets, individual spatial elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2), which are assets that are considered to be water dependent.

    Following delivery of the first pass asset list, project teams make a determination as to whether an asset (comprised of one or more elements) is water dependent, as assessed against the materiality tests detailed in the BA Methodology. These decisions are provided to ERIN by the assessment team and incorporated into the AssetList table in the Asset database.

    Development of the Asset Register from the Asset database:

    Decisions for M0 (fit for BA purpose), M1 (PAE) and M2 (water dependent) determine which assets are included in the "asset list" and "water-dependent asset register" which are published as Product 1.3.

    The rule sets are applied as follows:

    M0 M1 M2 Result

    No n/a n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) No n/a Asset is not included in the asset list or the water-dependent asset register

    (≠ No) Yes No Asset included in published asset list but not in water dependent asset register

    (≠ No) Yes Yes Asset included in both asset list and water-dependent asset register

    Assessment teams are then able to use the database to assign receptors and impact variables to water-dependent assets and the development of a receptor register as detailed in BA submethodology M03: Assigning receptors to water-dependent assets and the receptor register is then incorporated into the asset database.

    At this stage of its development, the Asset database for the Maranoa-Balonne-Condamine subregion update on 05 February 2016, which this document describes, does contain receptor information, but it was removed from this public version.

    Dataset Citation

    Bioregional Assessment Programme (2015) Asset database for the Maranoa-Balonne-Condamine subregion on 05 February 2016 Public. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/b678d3ec-480e-45fd-a17c-9058b9ddd89c.

    Dataset Ancestors

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2019). GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) | gimi9.com [Dataset]. https://gimi9.com/dataset/au_96ebf889-f726-4967-9964-714fb57d679b/

GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb) | gimi9.com

Explore at:
Dataset updated
Mar 13, 2019
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Abstract This dataset was derived by the Bioregional Assessment Programme from the GEODATA TOPO 250K Series 3 dataset (GUID: a0650f18-518a-4b99-a553-44f82f28bb5f). The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. This dataset is a copy of the original Geodata Topo 250k Series 3 data, converted from Personal (Microsoft Access) Databases, to ESRI File Geodatabases. This was done to ensure .mdb lock files would not restrict map makers from using the topographic data in their cartographic products. The data and folders are structured the same as the original dataset. ## Dataset History A new file geodatabase schema was created in the same structure as the original .mdb data (including database and feature dataset names and projections). Feature Classes were then copied from the .mdb format to the .gdb format, using ArcCatalog 10.0. ## Dataset Citation Bioregional Assessment Programme (2014) GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb). Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/96ebf889-f726-4967-9964-714fb57d679b. ## Dataset Ancestors * Derived From GEODATA TOPO 250K Series 3

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