3 datasets found
  1. Asset database for the Pedirka subregion on 08 March 2016

    • researchdata.edu.au
    • data.gov.au
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    Updated Sep 21, 2016
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    Bioregional Assessment Program (2016). Asset database for the Pedirka subregion on 08 March 2016 [Dataset]. https://researchdata.edu.au/asset-database-pedirka-march-2016/2986735
    Explore at:
    Dataset updated
    Sep 21, 2016
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Bioregional Assessment Program
    Area covered
    Pedirka Desert
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source 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.

    The asset database for Pedirka subregion (v4) supersedes previous versions of the Arckaringa Asset database (Asset database for the Pedirka subregion on 27 August 2015, GUID: 62dc178f-65ae-4e6a-b5d4-12895b37d04c). Total number of registered water assets in this V4 database was increased by 2 because two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

    This dataset contains v4 of the Asset database (PED_asset_database_20160308.mdb), a Geodatabase version for GIS mapping purposes (PED_asset_database_20160308_GISOnly.gdb), an updated draft Water Dependent Asset Register spreadsheet (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-v20160308.xlsx), a data dictionary (PED_asset_database_doc_20160308.doc), and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process.

    The tabular attribute data can be joined in a GIS to the "Assetlist" table in the mdb database using the "AID" field to view asset attributes (BA attribution). To view the more detailed attribution at the element-level, the intermediate table "Element_to_asset" can be joined to the assets spatial datasets using AID, and then joining the individual attribute tables from the Access database using the common "ElementID" fields. Alternatively, the spatial feature layers representing elements can be linked directly to the individual attribute tables in the Access database using "ElementID", but this arrangement will not provide the asset-level groupings.

    Further information is provided in the accompanying document, "PED_asset_database_doc_20160308.doc" located within this dataset.

    The public version of this asset database can be accessed via the following dataset: Asset database for the Pedirka subregion on 08 March 2016 Public (https://data.gov.au/data/dataset/c104deb9-5969-4427-977a-12f284564c93).

    Dataset History

    VersionID\tDate\tNotes

    1.0\t13/03/2015\tInitial database

    1.1\t19/03/2015\tAdd SA point Eco data (2 assets and 28 Elements) and fixed Note field value in table AssetDecisions

    2\t7/08/2015\t"(1) Updated the database for M2 test results provided from PED assessment team and created the draft BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20150807.xlsx

    (2) Updated the group, subgroup, class and depth for (up to) 67 NRM WAIT assets to cooperate the feedback to OWS from relevant SA NRM office (whose staff missed the asset workshop). The AIDs and names of those assets are listed in table LUT_changed_asset_class_20150807 in PED_asset_database_20150807.mdb

    (3) Appendix C in PED_asset_database_doc_201500807.doc is about total elements/assets in current Group and subgroup

    (4) Four SQL queries (Find_All_Used_Assets, Find_All_WD_Assets, Find_Amount_Asset_in_Class and Find_Amount_Elements_in_Class) in PED_asset_database_20150807.mdb can be used for total assets and total numbers

    (5)There are 1 asset (in PED subregion), which is same as 1 asset in MBC subregion. Its AID, Asset Name, Group, SubGroup, Depth, Source and ListDate is using values from MBC asset. This asset is listed in table LUT_DUP_PED_MBC in PED_asset_database_20150807.mdb

    (6)The databases, especially spatial database (PED_asset_database_20150807Only.gdb), were changed such as duplicated attribute fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the relevant spatial data."

    3 27/08/2015 M2_Reason in the Assetlist table and DecisionBrief in the AssetDecisions table have been updated with short descriptions (<255 characters) provided by project team 21/8, and the draft "water-dependent asset register and asset list" (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. No changes to asset numbers.

    4\t8/03/2016\t"(1) Total number of registered water assets was increased by 2 due to: Two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

                  (2) The draft new Water Dependent Asset Register file (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20160308.xlsx) was created"
    

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Pedirka subregion on 08 March 2016. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/336879f0-470f-4f9d-826c-e6c8653657eb.

    Dataset Ancestors

  2. d

    Asset database for the Arckaringa subregion on 04 March 2016

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). Asset database for the Arckaringa subregion on 04 March 2016 [Dataset]. https://data.gov.au/data/dataset/groups/c6fa12de-6b4b-47b9-8b8e-5ad9a4ccc4c0
    Explore at:
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source 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.

    The asset database for Arckaringa subregion (v5) supersedes previous versions of the Arckaringa Asset database (Asset database for the Arckaringa subregion on 27 August 2015, GUID: 7680ecd5-8942-44a2-80a4-d510eee1871d). Total number of registered water assets in this V5 was increased by 2 because two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

    This dataset contains v3 of the Asset database (ARC_asset_database_20160304.mdb), a Geodatabase version for GIS mapping purposes (ARC_asset_database_GISOnly_20160304.gdb), an updated draft Water Dependent Asset Register spreadsheet (BA-LEB-ARC-130-WaterDependentAssetRegister-AssetList-v20160304.xlsx), a data dictionary (ARC_asset_database_doc_20160304.doc), and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process.

    This dataset contains a combination of spatial and non-spatial (attribute) components of the Arckaringa subregion Asset List - an mdb file (readable as an MS Access database or as an ESRI personal geodatabase) holds the non-spatial tabular attribute data, and an ESRI file geodatabase contains the spatial data layers, which are attributed only with unique identifiers ("AID" for assets, and "ElementID" for elements).

    The tabular attribute data can be joined in a GIS to the "Assetlist" table in the mdb database using the "AID" field to view asset attributes (BA attribution). To view the more detailed attribution at the element-level, the intermediate table "Element_to_asset" can be joined to the assets spatial datasets using AID, and then joining the individual attribute tables from the Access database using the common "ElementID" fields. Alternatively, the spatial feature layers representing elements can be linked directly to the individual attribute tables in the Access database using "ElementID", but this arrangement will not provide the asset-level groupings.

    Further information is provided in the accompanying document, "ARC_asset_database_doc_20160304.doc" located within this dataset.

    The public version of this asset database can be accessed via the following dataset: Asset database for the Arckaringa subregion on 04 March 2016 Public (https://data.gov.au/data/dataset/f64b6216-7b7a-4a7e-9420-d1a801d59d5d)

    Dataset History

    VersionID Date Notes

    1.0 17/03/2015 Initial database

    1.1 19/03/2015 Add SA point Eco data ( 2 assets and 67 Elements) and fix some AIDs in table AssetDecisions

    2 16/04/2015 remove 6 elements ('NGIS_Bore_HydroID_30020907','NGIS_Bore_HydroID_30020908','NGIS_Bore_HydroID_30020921','Unit No 633800074_South Australian Arid Lands_56231','Unit No 633800075_South Australian Arid Lands_56239','Unit No 633900013_South Australian Arid Lands_56243') from relevant tables and reprocess two assets with AIDs 17632 and 17648 without above 3 elements for each, base on SA state information after asset community workshop

    3 7/08/2015 (1) Updated the database for M2 test results provided from ARC assessment team and created the draft BA-LEB-ARC-130-WaterDependentAssetRegister-AssetList-V20150807.xlsx

    (2) updated the group, subgroup, class and depth for (up to) 141 NRM WAIT assets to cooperate the feedback to OWS from relevant SA NRM regional office (whose staff missed the asset workshop). The AIDs and names of those assets are listed in table LUT_changed_asset_class_20150807 in ARC_asset_database_20150807.mdb

    (3) As a result of (2), added three new assets separated from three exiting assets. Those assets and their parents are listed in table LUT_ADD_3_asstes_20150807 in ARC_asset_database_20150807.mdb. The M2 and M3 test results for those 3 assets are inherited from their parents in this version

    (4) Four assets' names from RNE data source were changed for confidential reason and they are listed in table LUT_changed_RNE_20150807 in ARC_asset_database_20150807.mdb

    (5) Added Appendix C in ARC_asset_database_doc_201500807.doc is about total elements/assets in current Group and subgroup

    (6)Added Four SQL queries (Find_All_Used_Assets, Find_All_WD_Assets, Find_Amount_Asset_in_Class and Find_Amount_Elements_in_Class) in ARC_asset_database_20150807.mdb for total assets and total numbers

    (7)The databases, especially spatial database (ARC_asset_database_20150807Only.gdb), were changed such as duplicated attribute fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the relevant spatial data.

    ('NGIS_Bore_HydroID_30020907','NGIS_Bore_HydroID_30020908','NGIS_Bore_HydroID_30020921','Unit No 633800074_South Australian Arid Lands_56231','Unit No 633800075_South Australian Arid Lands_56239','Unit No 633900013_South Australian Arid Lands_56243') from relevant tables and reprocess two assets with AIDs 17632 and 17648 without above 3 elements for each, base on SA state information after asset community workshop.

    1. 27/08/2015 M2_Reason in the Assetlist table and DecisionBrief in the AssetDecisions table have been updated with short descriptions (<255 characters) provided by project team 21/8, and the draft "water-dependent asset register and asset list" (BA-LEB-ARC-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. No changes to asset numbers.

    5 4/03/2016 "(1) Total number of registered water assets was increased by 2 because two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

    (2) The draft new Water Dependent Asset Register was created"

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Arckaringa subregion on 04 March 2016. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/c6fa12de-6b4b-47b9-8b8e-5ad9a4ccc4c0.

    Dataset Ancestors

  3. Asset database for the Gwydir subregion on 11 March 2016

    • researchdata.edu.au
    • data.gov.au
    • +1more
    Updated Sep 21, 2016
    + more versions
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    Bioregional Assessment Program (2016). Asset database for the Gwydir subregion on 11 March 2016 [Dataset]. https://researchdata.edu.au/asset-database-gwydir-march-2016/3518823
    Explore at:
    Dataset updated
    Sep 21, 2016
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Bioregional Assessment Program
    Description

    Abstract

    The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source 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.

    This Gwydir (DWY) dataset contains v23 of the Asset database (GWY_asset_database_20160311.mdb), a Geodatabase version for GIS mapping purposes (GWY_asset_database_GISOnly_21060311.gdb), the draft Water Dependent Asset Register spreadsheet (BA-NIC-GWY-130-WaterDependentAssetRegister-AssetList-v20160311.xlsx), a data dictionary (GWY_asset_database_doc_20160311.docx), a folder (NRM_DOC) and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process.

    This Asset database supersedes the previous version of Asset database for the Gwydir subregion on 24 August 2015 (GUID: 7350df87-5103-40f5-b82c-42b0fc59a6a5). Updating in this v3 GWY database includes total number of GWY registered water assets was increased by 1 (= +2-1) because two assets changed M2 test from "No" to "Yes", but one asset changed M2 test from "Yes" to "No" from M2 test decision review done by Ecologist group.

    The tabular attribute data can be joined in a GIS to the "Assetlist" table in the mdb database using the "AID" field to view asset attributes (BA attribution). To view the more detailed attribution at the element-level, the intermediate table "Element_to_asset" can be joined to the assets spatial datasets using AID, and then joining the individual attribute tables from the Access database using the common "ElementID" fields. Alternatively, the spatial feature layers representing elements can be linked directly to the individual attribute tables in the Access database using "ElementID", but this arrangement will not provide the asset-level groupings.

    Further information is provided in the accompanying document, "GWY_asset_database_doc_20160311.docx" located within this dataset.

    The public version of this asset database can be accessed via the following dataset: Asset database for the Gwydir subregion on 11 March 2016 Public (https://data.gov.au/data/dataset/cce59770-99b8-46d1-87c6-582920e0687a)

    Purpose

    This Asset database is developed for BA

    The public version of this asset database can be accessed via the following dataset: Asset database for the Gwydir subregion on 11 March 2016 Public (https://data.gov.au/data/dataset/cce59770-99b8-46d1-87c6-582920e0687a)

    Dataset History

    VersionID\tDate Notes

    1.0\t 8/05/2015\tInitial database

    2.0\t 24/08/2015 v2 - additions as follows:

    (1) At the request of NSW OEH, data identifying species and ecological communities listed under NSW legislation has been included in two additional attribute tables "NSW_TS" and "NSW_TEC" (a total of 110 elements and assets, AIDs 70150-70259). However, given the extremely course catchment-scale resolution of the data as compared to the relatively fine-scale of the PAE, it is essentially a non-spatial list of species and communities which may or may not occur within the PAE. As the data was unable to be meaningfully used as a spatial dataset it was subsequently "turned off" at decision M0 (not fit for purpose), with the decision reflected in the "Assetlist"and "AssetDecisions" tables. Although they are included in the asset database, these new assets are not included in the asset count for GWY.

    (2) The database has been updated to include M2 (water dependency) test results from the GWY project team, and a draft "Water-dependent asset register and asset list" spreadsheet (BA-NIC-GWY-130-WaterDependentAssetRegister-AssetList-V20150824.xlsx) has been created and is included in this dataset.

    (3) Four queries have been added to the non-spatial database (mdb) (Find_All_Used_Assets, Find_All_WD_Assets, Find_Amount_Asset_in_Class and Find_Amount_Elements_in_Class) to assist project teams to identify and calculate figures to be published.

    3\t11/03/2016\t"(1) Total number of registered water assets was increased by 1 (+2-1) due to:

    Two assets changed M2 test from "No" to "Yes" and one asset changed M2 test from "Yes" to "No" from M2 test review done by Ecologist group.

    (2) The draft new Water Dependent Asset Register file (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20160308.xlsx) was created"

    Further information is contained in the associate document GWY_asset_database_doc_20160311.docx".

    Dataset Citation

    Bioregional Assessment Programme (2013) Asset database for the Gwydir subregion on 11 March 2016. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/089f3ab8-74cf-41b8-9597-c6e55b0adcef.

    Dataset Ancestors

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Bioregional Assessment Program (2016). Asset database for the Pedirka subregion on 08 March 2016 [Dataset]. https://researchdata.edu.au/asset-database-pedirka-march-2016/2986735
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Asset database for the Pedirka subregion on 08 March 2016

Explore at:
Dataset updated
Sep 21, 2016
Dataset provided by
Data.govhttps://data.gov/
Authors
Bioregional Assessment Program
Area covered
Pedirka Desert
Description

Abstract

The dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source 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.

The asset database for Pedirka subregion (v4) supersedes previous versions of the Arckaringa Asset database (Asset database for the Pedirka subregion on 27 August 2015, GUID: 62dc178f-65ae-4e6a-b5d4-12895b37d04c). Total number of registered water assets in this V4 database was increased by 2 because two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

This dataset contains v4 of the Asset database (PED_asset_database_20160308.mdb), a Geodatabase version for GIS mapping purposes (PED_asset_database_20160308_GISOnly.gdb), an updated draft Water Dependent Asset Register spreadsheet (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-v20160308.xlsx), a data dictionary (PED_asset_database_doc_20160308.doc), and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process.

The tabular attribute data can be joined in a GIS to the "Assetlist" table in the mdb database using the "AID" field to view asset attributes (BA attribution). To view the more detailed attribution at the element-level, the intermediate table "Element_to_asset" can be joined to the assets spatial datasets using AID, and then joining the individual attribute tables from the Access database using the common "ElementID" fields. Alternatively, the spatial feature layers representing elements can be linked directly to the individual attribute tables in the Access database using "ElementID", but this arrangement will not provide the asset-level groupings.

Further information is provided in the accompanying document, "PED_asset_database_doc_20160308.doc" located within this dataset.

The public version of this asset database can be accessed via the following dataset: Asset database for the Pedirka subregion on 08 March 2016 Public (https://data.gov.au/data/dataset/c104deb9-5969-4427-977a-12f284564c93).

Dataset History

VersionID\tDate\tNotes

1.0\t13/03/2015\tInitial database

1.1\t19/03/2015\tAdd SA point Eco data (2 assets and 28 Elements) and fixed Note field value in table AssetDecisions

2\t7/08/2015\t"(1) Updated the database for M2 test results provided from PED assessment team and created the draft BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20150807.xlsx

(2) Updated the group, subgroup, class and depth for (up to) 67 NRM WAIT assets to cooperate the feedback to OWS from relevant SA NRM office (whose staff missed the asset workshop). The AIDs and names of those assets are listed in table LUT_changed_asset_class_20150807 in PED_asset_database_20150807.mdb

(3) Appendix C in PED_asset_database_doc_201500807.doc is about total elements/assets in current Group and subgroup

(4) Four SQL queries (Find_All_Used_Assets, Find_All_WD_Assets, Find_Amount_Asset_in_Class and Find_Amount_Elements_in_Class) in PED_asset_database_20150807.mdb can be used for total assets and total numbers

(5)There are 1 asset (in PED subregion), which is same as 1 asset in MBC subregion. Its AID, Asset Name, Group, SubGroup, Depth, Source and ListDate is using values from MBC asset. This asset is listed in table LUT_DUP_PED_MBC in PED_asset_database_20150807.mdb

(6)The databases, especially spatial database (PED_asset_database_20150807Only.gdb), were changed such as duplicated attribute fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the relevant spatial data."

3 27/08/2015 M2_Reason in the Assetlist table and DecisionBrief in the AssetDecisions table have been updated with short descriptions (<255 characters) provided by project team 21/8, and the draft "water-dependent asset register and asset list" (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. No changes to asset numbers.

4\t8/03/2016\t"(1) Total number of registered water assets was increased by 2 due to: Two assets changed M2 test from "No" to "Yes" from M2 test review done by Ecologist group.

              (2) The draft new Water Dependent Asset Register file (BA-LEB-PED-130-WaterDependentAssetRegister-AssetList-V20160308.xlsx) was created"

Dataset Citation

Bioregional Assessment Programme (2014) Asset database for the Pedirka subregion on 08 March 2016. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/336879f0-470f-4f9d-826c-e6c8653657eb.

Dataset Ancestors

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