54 datasets found
  1. List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As...

    • catalog.data.gov
    Updated Dec 14, 2022
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    Federal Geographic Data Committee (FGDC) National Geospatial Data Asset (NGDA) Portfolio Management Team (Custodian) (2022). List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As Endorsed by the Federal Geospatial Data Committee (FGDC) [Dataset]. https://catalog.data.gov/dataset/list-of-national-geospatial-data-assets-ngdas-portfolio-datasets-as-endorsed-by-the-federal-geo2
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    Dataset updated
    Dec 14, 2022
    Dataset provided by
    National Geospatial-Intelligence Agencyhttp://www.nga.mil/
    Federal Geographic Data Committee
    Description

    An National Geospatial Data Asset (NGDA) is defined as a geospatial dataset that has been designated by the FGDC Steering Committee and meets at least one of the following criteria: used by multiple agencies or with agency partners such as State, Tribal and local governments; applied to achieve Presidential priorities as expressed by OMB; required to meet shared mission goals of multiple Federal agencies; or expressly required by statutory mandate. Together, these datasets comprise the NGDA Portfolio. This metadata points to a spreadsheet that contains the official list of NGDA with a link to specific NGDA metadata maintained by the dataset owners on Data.gov, GeoPlatform.gov, a link to their associated NGDA Theme, and the agency responsible for the NGDA.

  2. Highway Data Element Dictionary

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated May 8, 2024
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    Federal Highway Administration (2024). Highway Data Element Dictionary [Dataset]. https://catalog.data.gov/dataset/highway-data-element-dictionary
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    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administrationhttps://highways.dot.gov/
    Description

    This is list of data elements and their attributes that are used by data assets at the Federal Highway Administration.

  3. Corporate Assets - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Sep 29, 2015
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    ckan.publishing.service.gov.uk (2015). Corporate Assets - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/corporate-assets
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    Dataset updated
    Sep 29, 2015
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    MCC’s land and building asset data as held within the Council’s asset database (CPAD) and defined by the Code of Recommended Practice for Local Authorities Data Transparency 2014. NOTE: A full data set version including the GeoX, GeoY and UPRN derived from Ordnance Survey data can only be released for “using the data to respond to, or interact with the Licensor to deliver or support the delivery of the Licensor’s Core Business”. Due to OS licensing restrictions under a PSMA end user licence http://www.ordnancesurvey.co.uk/business-and-government/public-sector/mapping-agreements/end-user-licence.html If you wish to use this data for any other purpose other than supporting the delivery of the Licensor’s Core Business, then you should contact Ordnance Survey via https://ordnancesurvey.co.uk/contact/ or telephone 03456 05 05 05 to discuss how they can help you with your requirements.

  4. Council land and building assets - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Feb 8, 2017
    + more versions
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    ckan.publishing.service.gov.uk (2017). Council land and building assets - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/council-land-and-building-assets
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    Dataset updated
    Feb 8, 2017
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This dataset provides a comprehensive list of council owned land and building assets which are deemed corporately owned. Some assets such as investment properties, void properties, and office accommodation are managed on behalf of the whole council by Asset Management (corporate landlord), whilst others which generally support front line services are managed by the Services themselves (tenants). Definitions and information “Lease in” and “Leased in” means a property which the council rents from any external company or organisation “Lease out” and “Leased out” means a council property rented out to an external company or organisation “Surplus” means that the council has determined that it no longer requires the asset and whilst usually applied to vacant properties this is not necessarily the case “ Vacant” means not currently used and it’s future has yet to be determined “Vacant temporarily” means one council user has vacated and another council user will be moving in “Vacant surplus” means one council user has vacated and it has been determined that the asset is no longer required There are around 200 properties without a status, this is because the information was not available at the time when the data was prepared. It is likely that these properties are “Council occupied” Improved descriptions and omissions will be addressed at the next revision In the spirit of openness and transparency, this is a first attempt at producing this list and it is possible that there may be some errors and omissions, the aim however, is to continuously improve on the quality of the data where necessary, in future editions. Local Government Transparency Code 2015 This is a key dataset which the government wants local authorities to publish. https://www.gov.uk/government/publications/local-government-transparency-code-2015

  5. E

    Asset Column Definitions (Public Datasets)

    • data.edmonton.ca
    csv, xlsx, xml
    Updated Oct 13, 2025
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    (2025). Asset Column Definitions (Public Datasets) [Dataset]. https://data.edmonton.ca/w/wbmx-6ab8/depj-dfck?cur=Y3uCUPHVp7H
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Oct 13, 2025
    Description

    Column names, descriptions, and data types for public datasets.

  6. d

    GIP AssetList Database v1.2 20150130

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). GIP AssetList Database v1.2 20150130 [Dataset]. https://data.gov.au/data/dataset/6f7ced80-a4db-402f-88f0-1c66ffe87b0c
    Explore at:
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    Description

    Abstract

    [x[This dataset was superseded by GIP AssetList Database v1.3 20150212

    GUID: e0a8bc96-e97b-44d4-858e-abbb06ddd87f

    on 12/2/2015]x]

    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 dataset contains the spatial and non-spatial (attribute) components of the Gippsland bioregion Asset List as two .mdb files, which are readable as an MS Access database or as an ESRI Personal Geodatabase.

    Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Gippsland are included in the zip file as part of this dataset.

    Elements are initially included in the preliminary assets database if they are partly or wholly within the bioregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Gippsland bioregion are found in the "AssetList" table of the database. In this version of the database only M1 has been assessed.

    Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "AssetList_database_GIP_v1p2_20150130.doc", located in the zip file as part of this dataset.

    The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.

    Detailed information describing the database structure and content can be found in the document "AssetList_database_GIP_v1p2_20150130.doc" located in the zip file.

    Some of the source data used in the compilation of this dataset is restricted.

    Purpose

    [x[*****THIS IS NOT THE CURRENT ASSET LIST*****

    This dataset was superseded by GIP AssetList Database v1.3 20150212

    GUID: e0a8bc96-e97b-44d4-858e-abbb06ddd87f

    on 12/2/2015

    THIS DATASET IS NOT TO BE PUBLISHED IN ITS CURRENT FORM]x]

    Dataset History

    This dataset is an update of the previous version of the Gippsland asset list database: "Gippsland Asset List V1 20141210"; ID: 112883f7-1440-4912-8fc3-1daf63e802cb, which was updated with the inclusion of a number of additional datasets from the Victorian Department of the Environment and Primary Industries as identified in the "linkages" section and below.

    Victorian Farm Dam Boundaries

    https://data.bioregionalassessments.gov.au/datastore/dataset/311a47f9-206d-4601-aa7d-6739cfc06d61

    Flood Extent 100 year extent West Gippsland Catchment Management Authority GIP v140701

    https://data.bioregionalassessments.gov.au/dataset/2ff06a4f-fdd5-4a34-b29a-a49416e94f15

    Irrigation District Department of Environment and Primary Industries GIP

    https://data.bioregionalassessments.gov.au/datastore/dataset/880d9042-abe7-4669-be3a-e0fbe096b66a

    Landscape priority areas (West)

    West Gippsland Regional Catchment Strategy Landscape Priorities WGCMA GIP 201205

    https://data.bioregionalassessments.gov.au/datastore/dataset/6c8c0a81-ba76-4a8a-b11a-1c943e744f00

    Plantation Forests Public Land Management(PLM25) DEPI GIP 201410

    https://data.bioregionalassessments.gov.au/datastore/dataset/495d0e4e-e8cd-4051-9623-98c03a4ecded

    and additional data identifying "Vulnerable" species from the datasets:

    Victorian Biodiversity Atlas flora - 1 minute grid summary

    https://data.bioregionalassessments.gov.au/datastore/dataset/d40ac83b-f260-4c0b-841d-b639534a7b63

    Victorian Biodiversity Atlas fauna - 1 minute grid summary

    https://data.bioregionalassessments.gov.au/datastore/dataset/516f9eb1-ea59-46f7-84b1-90a113d6633d

    A number of restricted datasets were used to compile this database. These are listed in the accompanying documentation and below:

    • The Collaborative Australian Protected Areas Database (CAPAD) 2010

    • Environmental Assets Database (Commonwealth Environmental Water Holder)

    • Key Environmental Assets of the Murray-Darling Basin

    • Communities of National Environmental Significance Database

    • Species of National Environmental Significance

    • Ramsar Wetlands of Australia 2011

    Dataset Citation

    Bioregional Assessment Programme (2015) GIP AssetList Database v1.2 20150130. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/6f34129d-50a3-48f7-996c-7a6c9fa8a76a.

    Dataset Ancestors

  7. d

    Asset database for the Central West subregion on 29 April 2015

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
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    Bioregional Assessment Program (2019). Asset database for the Central West subregion on 29 April 2015 [Dataset]. https://data.gov.au/data/dataset/5c3f9a56-7a48-4c26-a617-a186c2de5bf7
    Explore at:
    Dataset updated
    Nov 19, 2019
    Dataset authored and 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.

    This database is an initial Asset database for the Central West subregion on 29 April 2015. This dataset contains the spatial and non-spatial (attribute) components of the Central West subregion Asset List as one .mdb files, which is readable as an MS Access database and a personal geodatabase. Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Central West are included in the zip file as part of this dataset. Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Central West subregion are found in the "AssetList" table of the database. In this version of the database only M1 has been assessed. Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "CEN_asset_database_doc_20150429.doc ", located in the zip file as part of this dataset. The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset. Detailed information describing the database structure and content can be found in the document "CEN_asset_database_doc_20150429.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted.

    Dataset History

    This is initial asset database.

    The Bioregional Assessments methodology (Barrett et al., 2013) defines a water-dependent asset as a spatially distinct, geo-referenced entity contained within a bioregion with characteristics having a defined cultural indigenous, economic or environmental value, and that can be linked directly or indirectly to a dependency on water quantity and/or quality.

    Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. Elements are initially included in database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet materiality test 2 (M2) - assets considered to be water dependent.

    Elements may be represented by a single, discrete spatial unit (polygon, line or point), or a number of spatial units occurring at more than one location (multipart polygons/lines or multipoints). Spatial features representing elements are not clipped to the preliminary assessment extent - features that extend beyond the boundary of the assessment extent have been included in full. To assist with an assessment of the relative importance of elements, area statements have been included as an attribute of the spatial data. Detailed attribute tables contain descriptions of the geographic features at the element level. Tables are organised by data source and can be joined to the spatial data on the "ElementID" field

    Elements are grouped into Assets, which are the objects used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy.

    The "Element_to_asset" table contains the relationships and identifies the elements that were grouped to create each asset.

    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 project team leader and incorporated into the Assetlist table in the Asset database. The Asset database is then re-registered into the BA repository.

    The Asset database dataset (which is registered to the BA repository) contains separate spatial and non-spatial databases.

    Non-spatial (tabular data) is provided in an ESRI personal geodatabase (.mdb - doubling as a MS Access database) to store, query, and manage non-spatial data. This database can be accessed using either MS Access or ESRI GIS products. Non-spatial data has been provided in the Access database to simplify the querying process for BA project teams. Source datasets are highly variable and have different attributes, so separate tables are maintained in the Access database to enable the querying of thematic source layers.

    Spatial data is provided as an ESRI file geodatabase (.gdb), and can only be used in an ESRI GIS environment. Spatial data is represented as a series of spatial feature classes (point, line and polygon layers). Non-spatial attribution can be joined from the Access database using the AID and ElementID fields, which are common to both the spatial and non-spatial datasets. Spatial layers containing all the point, line and polygon - derived elements and assets have been created to simplify management of the Elementlist and Assetlist tables, which list all the elements and assets, regardless of the spatial data geometry type. i.e. the total number of features in the combined spatial layers (points, lines, polygons) for assets (and elements) is equal to the total number of non-spatial records of all the individual data sources.

    Dataset Citation

    Department of the Environment (2013) Asset database for the Central West subregion on 29 April 2015. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/5c3f9a56-7a48-4c26-a617-a186c2de5bf7.

    Dataset Ancestors

  8. Government; financial balance sheet, market value, sectors

    • data.overheid.nl
    • cbs.nl
    • +1more
    atom, json
    Updated Sep 23, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2025). Government; financial balance sheet, market value, sectors [Dataset]. https://data.overheid.nl/dataset/4242-government--financial-balance-sheet--market-value--sectors
    Explore at:
    atom(KB), json(KB)Available download formats
    Dataset updated
    Sep 23, 2025
    Dataset provided by
    Centraal Bureau voor de Statistiek
    License

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

    Description

    This table contains information on the balance sheet of the general government sector. The information is limited to financial assets and liabilities. For each reporting period the opening and closing stocks, financial transactions and other changes are shown. Transactions are economic flows that are the result of agreements between units. Other changes are changes in the value of assets or liabilities that do not result from transactions such as revaluations or reclassifications. The figures are consolidated which means that flows between units that belong to the same sector are eliminated. As a result, assets and liabilities of subsectors do not add up to total assets or liabilities of general government. For example, loans of the State provided to social security funds are part of loans of the State. However, these are not included in the consolidated assets of general government, because it is an asset of a government unit with a government unit as debtor. Financial assets and liabilities in this table are presented at market value. The terms and definitions used are in accordance with the framework of the Dutch national accounts. National accounts are based on the international definitions of the European System of Accounts (ESA 2010). Small temporary differences with publications of the National Accounts may occur due to the fact that the government finance statistics are sometimes more up to date.

    Data available from: Yearly figures from 1995, quarterly figures from 1999.

    Status of the figures: The figures for the period 1995-2023 are final. The figures for 2024 and 2025 are provisional.

    Changes as of 23 September 2025: Figures for the first quarter of 2025 have been adjusted. The figures for the second quarter of 2025 are available.

    Changes as of 10 April 2025: Due to an error made while processing the data, the initial preliminary figures for the government financial balance sheet in 2024 were calculated incorrectly. This causes a downward revision in other accounts payable.

    When will new figures be published? Provisional quarterly figures are published three months after the end of the quarter. In September the figures on the first quarter may be revised, in December the figures on the second quarter may be revised and in March the first three quarters may be revised. Yearly figures are published for the first time three months after the end of the year concerned. Yearly figures are revised two times: 6 and 18 months after the end of the year. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the most actual figures. Revised yearly figures are published in June each year. Quarterly figures are aligned to the three revised years at the end of June. More information on the revision policy of Dutch national accounts and government finance statistics can be found under 'relevant articles' under paragraph 3.

  9. Assets of Community Value - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Apr 14, 2022
    + more versions
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    ckan.publishing.service.gov.uk (2022). Assets of Community Value - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/assets-of-community-value4
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    Dataset updated
    Apr 14, 2022
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Assets of Community Value polygon layer. This layer is relevant to City Plan 2036: Policy CV1: Protection of Existing Visitor, Arts and Cultural Facilities.An Asset of Community Value is defined as: A building or other land is an asset of community value if its main use has recently been or is presently used to further the social wellbeing or social interests of the local community and could do so in the future. The Localism Act states that social interests include cultural, recreational and sporting interests.

  10. Asset database for the Hunter subregion on 20 November 2015

    • researchdata.edu.au
    • data.gov.au
    • +1more
    Updated Mar 30, 2016
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    Bioregional Assessment Program (2016). Asset database for the Hunter subregion on 20 November 2015 [Dataset]. https://researchdata.edu.au/asset-database-hunter-november-2015/2987869
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    Dataset updated
    Mar 30, 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.

    Hunter Asset Database v2.4 supersedes previous versions of the Hunter Asset database. In this V2.4 database:

    (1) Updated M2 test results for 86 assets from the external review

    (2) Updated asset names for two assets (AID: 8642 and 8643) required from the external review

    (3) Created Draft Water Dependent Asset Register file using the template V5

    This dataset contains the Asset database (.mdb), a Geodatabase version for GIS mapping purposes (.gdb), the draft Water Dependent Asset Register spreadsheet, a data dictionary document, and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process as outlined below.

    The Asset database is registered to the BA repository as an ESRI personal goedatabase (.mdb - doubling as a MS Access database) that can store, query, and manage non-spatial data while the spatial data is in a separate file geodatabase joined by AID/ElementID.

    Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Hunter is included in the zip file as part of this dataset.

    Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Hunter subregion are found in the "AssetList" table of the database.

    Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of " HUN_asset_database_doc_20151120.doc", located in this filet.

    The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.

    Detailed information describing the database structure and content can be found in the document " HUN_asset_database_doc_20151120.doc" located in this file.

    Some of the source data used in the compilation of this dataset is restricted.

    Dataset History

    OBJECTID\tVersionID\tNotes\tDate_

    1\t1\tInitial database.\t29/08/2014

    3\t1.1\tUpdate the classification for seven identical assets from Gloucester subregion\t16/09/2014

    4\t1.2\tAdded in NSW GDEs from Hunter - Central Rivers GDE mapping from NSW DPI (50 635 polygons).\t28/01/2015

    5\t1.3\tNew AIDs assiged to NSW GDE assets (Existing AID + 20000) to avoid duplication of AIDs assigned in other databases.\t12/02/2015

    6\t1.4\t"(1) Add 20 additional datasets required by HUN assessment project team after HUN community workshop

           (2) Turn off previous GW point assets (AIDs from 7717-7810 inclusive) 
    
           (3) Turn off new GW point asset (AID: 0)
    
           (4) Assets (AIDs: 8023-8026) are duplicated to 4 assets (AID: 4747,4745,4744,4743 respectively) in NAM subregion . Their AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry are using   
    
             values from that NAM assets.
    
          (5) Asset (AID 8595) is duplicated to 1 asset ( AID 57) in GLO subregion . Its AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry are using values from that GLO assets.
    
          (6) 39 assets (AID from 2969 to 5040) are from NAM Asset database and their attributes were updated to use the latest attributes from NAM asset database 
    
         (7)The databases, especially spatial  database, were changed such as duplicated attributes fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to 
    
            the spatial data"\t16/06/2015
    

    7\t2\t"(1) Updated 131 new GW point assets with previous AID and some of them may include different element number due to the change of 77 FTypes requested by Hunter assessment project team

          (2) Added 104 EPBC assets, which were assessed and excluded by ERIN
    
          (3) Merged 30 Darling Hardyhead assets to one (asset AID 60140) and deleted another 29 
    
          (4) Turned off 5 assets from community workshop (60358 - 60362) as they are duplicated to 5 assets from 104 EPBC excluded assets
    
         (5) Updated M2 test results
    
         (6) Asset Names (AID: 4743 and 4747) were changed as requested by Hunter assessment project team (4 lower cases to 4 upper case only). Those two assets are from Namoi asset database and their asset names 
    
           may not match with original names in Namoi asset database.
    
         (7)One NSW WSP asset (AID: 60814) was added in as requested by Hunter assessment project team. The process method (without considering 1:M relation) for this asset is not robust and is different to other NSW 
    
          WSP assets. It should NOT use for other subregions. 
    
         (8) Queries of Find_All_Used_Assets and Find_All_WD_Assets in the asset database can be used to extract all used assts and all water dependant assts"\t20/07/2015
    

    8\t2.1\t"(1) There are following six assets (in Hun subregion), which is same as 6 assets in GIP subregion. Their AID, Asset Name, Group, SubGroup, Depth, Source and ListDate are using values from GIP assets. You will

             not see AIDs from AID_from_HUN in whole HUN asset datable and spreadsheet anymore and you only can see AIDs from AID_from_GIP ( Actually (a) AID 11636 is GIP got from MBC (B) only AID, Asset Name 
    
             and ListDate are different and changed)
    
          (2) For BA-NSB-HUN-130-WaterDependentAssetRegister-AssetList-V20150827.xlsx, (a) Extracted long ( >255 characters) WD rationale for 19 assets (AIDs:  
    
             8682,9065,9073,9087,9088,9100,9102,9103,60000,60001,60792,60793,60801,60713,60739,60751,60764,60774,60812 ) in tab "Water-dependent asset register" and 37 assets (AIDs: 
    
             5040,8651,8677,8682,8650,8686,8687,8718,8762,9094,9065,9067,9073,9077,9081,9086,9087,9088,9100,9102,9103,60000,60001,60739,60742,60751,60713,60764,60771,
    
             60774,60792,60793,60798,60801,60809,60811,60812) in tab "Asset list" in 1.30 Excel file (b) recreated draft BA-NSB-HUN-130-WaterDependentAssetRegister-AssetList-V20150827.xlsx 
    
          (3) Modified queries (Find_All_Asset_List and Find_Waterdependent_asset_register) for (2)(a)"\t27/08/2015
    

    9\t2.2\t"(1) Updated M2 results from the internal review for 386 Sociocultural assets

          (2)Updated the class to Ecological/Vegetation/Habitat (potential species distribution) for assets/elements from sources of WAIT_ALA_ERIN, NSW_TSEC, NSW_DPI_Fisheries_DarlingHardyhead"\t8/09/2015
    

    10\t2.3\t"(1) Updated M2 results from the internal review

               \\*\tChanged "Assessment team do not say No" to "All economic assets are by definition water dependent"
    
              \\*\tChanged "Assessment team say No" : to "These are water dependent, but excluded by the project team based on intersection with the PAE is negligible"
    
              \\*\tChanged "Rivertyles" to "RiverStyles""\t22/09/2015
    

    11\t2.4\t"(1) Updated M2 test results for 86 assets from the external review

          (2) Updated asset names for two assets (AID: 8642 and 8643) required from the external review
    
          (3) Created Draft Water Dependent Asset Register file using the template V5"\t20/11/2015
    

    Dataset Citation

    Bioregional Assessment Programme (2015) Asset database for the Hunter subregion on 20 November 2015. Bioregional Assessment Derived Dataset. Viewed 07 June 2018, http://data.bioregionalassessments.gov.au/dataset/0bbcd7f6-2d09-418c-9549-8cbd9520ce18.

    Dataset Ancestors

  11. d

    HUN AssetList Database v1p2 20150128

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). HUN AssetList Database v1p2 20150128 [Dataset]. https://data.gov.au/data/dataset/groups/64ecd565-bb7c-4f21-951e-f35966b91c99
    Explore at:
    Dataset updated
    Nov 20, 2019
    Dataset authored and 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.

    Superseded by HUN AssetList v1.3 20150212 (GUID: dcf8349e-aaed-4d30-80ab-1c8cbad8fe68) on 2/12/2015

    This dataset contains the spatial and non-spatial (attribute) components of the Hunter subregion Asset List as an .mdb file, which is readable as an MS Access database or as an ESRI Personal Geodatabase.

    Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Hunter is included in the zip file as part of this dataset.

    Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Hunter subregion are found in the "AssetList" table of the database.

    Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "AnR_database_HUN_v1p2_20150128.doc", located in the zip file as part of this dataset.

    The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.

    Detailed information describing the database structure and content can be found in the document "AnR_database_HUN_v1p2_20150128.doc" located in the zip file.

    Some of the source data used in the compilation of this dataset is restricted.

    Purpose

    The Asset List Database was developed to identify water dependent assets located within the Hunter subregion.

    Dataset History

    Superseded by HUN AssetList v1.3 20150212 (GUID: dcf8349e-aaed-4d30-80ab-1c8cbad8fe68) on 2/12/2015*****

    This dataset is an update of the previous version of the Hunter asset list database: "Asset list for Hunter - CURRENT"; ID: 51b1e021-2958-4cd3-8daa-ba46ece09d1c, which was updated with the inclusion of data from NSW Department of Primary Industries - Office of Water: HIGH PROBABILITY GROUNDWATER DEPENDENT VEGETATION WITH HIGH ECOLOGICAL VALUE (Hunter-Central Rivers).

    Dataset Citation

    Bioregional Assessment Programme (2015) HUN AssetList Database v1p2 20150128. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/64ecd565-bb7c-4f21-951e-f35966b91c99.

    Dataset Ancestors

  12. National Address Database

    • hub.arcgis.com
    • resilience-fema.hub.arcgis.com
    • +1more
    Updated Apr 7, 2022
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    Esri U.S. Federal Datasets (2022). National Address Database [Dataset]. https://hub.arcgis.com/datasets/fedmaps::national-address-database-1/about
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    Dataset updated
    Apr 7, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    National Address DatabaseThis National Geospatial Data Asset (NGDA) dataset, shared as a U.S. Department of Transportation (USDOT) feature layer, displays address data in the United States. Per USDOT, "The U.S. Department of Transportation (USDOT) and its partners from all levels of government recognize the need for a National Address Database (NAD). Accurate and up-to-date addresses are critical to transportation safety and are a vital part of Next Generation 9-1-1. They are also essential for a broad range of government services, including mail delivery, permitting, and school siting. To meet this need, USDOT partners with address programs from state, local, and tribal governments to compile their authoritative data into the NAD."District of Columbia (DC) Residential AddressesData currency: Current federal service (Address Points from National Address Database)NGDAID: 196 (National Address Database (NAD))For more information: Getting to know the National Address Database (NAD); National Address DatabaseFor feedback, please contact: Esri_US_Federal_Data@esri.com NGDA Data SetThis data set is part of the NGDA Transportation Theme Community. Per the Federal Geospatial Data Committee (FGDC), Transportation is defined as the "means and aids for conveying persons and/or goods. The transportation system includes both physical and non-physical components related to all modes of travel that allow the movement of goods and people between locations". For other NGDA Content: Esri Federal Datasets

  13. C

    Special Districts' Net Pension Asset and Liability for Fiscal Year 2020-21

    • data.ca.gov
    • catalog.ogopendata.com
    • +4more
    csv, json, rdf, xsl
    Updated Mar 15, 2023
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    California State Controller's Office (2023). Special Districts' Net Pension Asset and Liability for Fiscal Year 2020-21 [Dataset]. https://data.ca.gov/dataset/special-districts-net-pension-asset-and-liability-for-fiscal-year-2020-21
    Explore at:
    rdf, csv, json, xslAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    bythenumbers.sco.ca.gov
    Authors
    California State Controller's Office
    License

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

    Description

    Net Pension Asset (NPA) is the amount in excess of the amount owed to a defined benefit pension plan based on the actuarial present value of projected benefit payments for plan members and their beneficiaries less the plan’s net position. Net Pension Liability (NPL) is the amount owed to a defined benefit pension plan based on the actuarial present value of projected benefit payments for plan members and their beneficiaries less the plan’s net position.

  14. d

    Asset database for the Gloucester subregion on 12 February 2016

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 20, 2019
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    Bioregional Assessment Program (2019). Asset database for the Gloucester subregion on 12 February 2016 [Dataset]. https://data.gov.au/data/dataset/groups/72a47bec-1393-49d6-b379-0e48551d26a9
    Explore at:
    Dataset updated
    Nov 20, 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.

    This Gloucester dataset contains v8.2 of the Asset database (GLO_asset_database_20160212.mdb), a Geodatabase version for GIS mapping purposes (GLO_asset_database_20160212_GISOnly.gdb), the draft Water Dependent Asset Register spreadsheet (BA-NSB-GLO-130-WaterDependentAssetRegister-AssetList-v20160212.xlsx), a data dictionary (GLO_asset_database_doc_20160212.doc), a folder (Indigenous_doc) containing documentation associated with Indigenous water asset project, a folder (NRM_DOC) and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process as outlined below.

    The Gloucester Asset database v8.2 supersedes the previous version of the GLO Asset database in asset relevant tables/ feature class only (i.e. AssetDecisions, AssetList, Element_to_Asset, ElementList, tbl_Indigenous_water_asset, tbl_GAL_Species_TEC_decisions_review_23112015 in GLO_asset_database_20160212.mdb and GM_GLO_AssetList_pt, GM_GLO_ElementList_pt in GLO_asset_database_20160212_GISOnly.gdb). This version of GLO asset database has been updated to:

    (1) Total number of registered water assets was increased by 18 due to:

    (a) The 3 assets changed M2 test to "Yes" from the review done by Ecologist group.

    (b) 15 indigenous water assets from OWS were added.

    The Asset database is registered to the BA repository as an ESRI personal goedatabase (.mdb - doubling as a MS Access database) that can store, query, and manage non-spatial data while the spatial data is in a separated file geodatabase joined by AID/Element ID/BARID. Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Gloucester are included in the zip file as part of this dataset. Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Gloucester subregion are found in the "AssetList" table of the database. In this version of the database only M1 has been assessed. Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "GLO_asset_database_doc_20160212.doc", located in the zip file as part of this dataset. The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset. Detailed information describing the database structure and content can be found in the document "GLO_asset_database_doc_20160212.doc" located in the zip file. The public version of this asset database can be accessed via the following dataset: Asset database for the Gloucester subregion on 12 February 2016 Public v02 (https://data.gov.au/data/dataset/5def411c-dbc4-4b75-b509-4230964ce0fa).

    Purpose

    Used for Gloucester subregion for bioregional assessments

    The public version of this asset database can be accessed via the following dataset: Asset database for the Gloucester subregion on 12 February 2016 Public v02 (https://data.gov.au/data/dataset/5def411c-dbc4-4b75-b509-4230964ce0fa).

    Dataset History

    VersionID Date Notes

    1.0 17/03/2014 Initial database

    1.01 19/03/2014 Update classification using latest one

    2.0 23/05/2014 Update asset area for some assets

    3.0 9/07/2014 updated to include new assets and elements identified by community.

    4.0 29/08/2014 updated assets and elements from WSP

    5.0 4/09/2014 Table AssetDecisions is added to record decision making process and decisions about M2 are also added in table

                                        asset list
    

    6.0 8/04/2015 195/9 Groundwater economic point elements/assets were added in while 81/7 Groundwater economic point

                                        elements/assets were turned off
    

    7.0 27/05/2015 The receptor data ( tables: ReceptorList, tbl_Receptors_GDE, tbl_Receptors_GW, tbl_Receptors_SW and

                                       tbl_Receptors_SW_Catchment_Ref_Only; and spatial data: GM_GLO_ReceptorList_pt) is added
    

    7.1 21/08/2015 "(1) Delete (a) line 26 from tab "Description" and (b) column E from tab "Receptor register" about "Depth" parameters

                                       in BA-NSB-GLO-140-ReceptorRegister-v20150821.xlsx
    
                                     (2) Delete field of "Depth" from table "ReceptorList" in GLO_asset_database_20150821.mdb
    
                                     (3) Add two fields of "InRegister" and "Registered Date" to table "ReceptorList" in GLO_asset_database_20150821.mdb 
    
                                       for the consistency with other subregions in the future"
    

    8 16/09/2015 "(1) (a) Update Latitude, Longitude, LandscapeClass using the latest data from GLO project team and update the values

                                        for RegisteredDate, and Group using "GDE", "SW" and "GW" in table ReceptorList in 
    
                                        GLO_asset_database_20150916.mdb; (b) Create draft BA-NSB-GLO-140-ReceptorRegister-v20150916.xlsx
    
                                     (2) Update tbl_Receptors_GDE, tbl_Receptors_GW and tbl_Receptors_SW in GLO_asset_database_20150916.mdb, 
    
                                        using the latest data from GLO project team.
    
                                     (3) Update GM_GLO_ReceptorList_pt in GLO_asset_database_20150916_GISOnly.gdb, using the latest data from GLO 
    
                                       project team"
    

    8.1 29/10/2015 (a) Update LandscapeClass field in table ReceptorList for all 222 economic Receptors to match the latest decision about

                                       this parameter (b) Create draft BA-NSB-GLO-140-ReceptorRegister-v20151029.xlsx
    

    8.2 12/02/2016 "(1) Total number of registered water assets was increased by 18 due to:

                                      (a) The 3 assets changed M2 test to "Yes" from the review done by Ecologist group. The original data is included the 
    
                                          database as the table tbl_GLO_Species_TEC_decisions_review_23112015
    
                                      (b) 15 indigenous water assets from OWS were added. The data and documents from OWS are included in
    
                                         subdirectory Indigenous_doc
    
                                     (c)The draft new Water Dependent Asset Register file (BA-NSB-GLO-130-WaterDependentAssetRegister-AssetList-
    
                                       v20160212.xlsx) was created"
    

    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. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/72a47bec-1393-49d6-b379-0e48551d26a9.

    Dataset Ancestors

  15. N

    Asset Management Parks System (AMPS) - Work Orders

    • data.cityofnewyork.us
    • datasets.ai
    • +1more
    csv, xlsx, xml
    Updated Dec 1, 2025
    + more versions
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    Department of Parks and Recreation (DPR) (2025). Asset Management Parks System (AMPS) - Work Orders [Dataset]. https://data.cityofnewyork.us/Environment/Asset-Management-Parks-System-AMPS-Work-Orders/8sdw-8vja
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Dec 1, 2025
    Dataset authored and provided by
    Department of Parks and Recreation (DPR)
    Description

    This table is the primary table for information about work orders, and contains general information - including a description of the work, assigned title, request date and completion date - about each work order. Each row represents a single work order. The primary key field is EVT_CODE. The EVT_OBJECT field can be joined to the Assets table on OBJ_CODE to know which asset the work order was for.

    For the User Guide, please follow this link For the Data Dictionary, please follow this link

  16. Government balance sheet; assets and liabilities

    • data.overheid.nl
    • cbs.nl
    • +1more
    atom, json
    Updated Nov 9, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2025). Government balance sheet; assets and liabilities [Dataset]. https://data.overheid.nl/dataset/4237-government-balance-sheet--assets-and-liabilities
    Explore at:
    atom(KB), json(KB)Available download formats
    Dataset updated
    Nov 9, 2025
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    This table contains information on the balance sheet of the general government sector. The balance sheet shows stock levels of assets and financial liabilities, as well as net worth of the general government sector. Assets are either financial (e.g. loans) or non-financial (e.g. non-residential buildings). The stock of assets equals the sum of the stock of financial liabilities and net worth. Stocks of assets and liabilities in this table are mostly valued at market value. This is the value of the asset or liability as if it were being acquired or sold on the date to which the balance sheet relates. When there are no observable market prices, estimates are made for the market value. Financial assets and liabilities that are not commonly traded on a market, such as cash, deposits, loans and other accounts receivable/payable are valued at nominal value.

    The figures in this table are consolidated at the general government level. This means that stocks between units that both belong to the general government sector are eliminated.

    The terms and definitions used are in accordance with the framework of the Dutch national accounts. National accounts are based on the international definitions of the European System of Accounts (ESA 2010). Small temporary differences with publications of the National Accounts may occur due to the fact that the government finance statistics are sometimes more up to date.

    Data available from: 1995

    Status of the figures: The figures for the period 1995-2023 are final. The figures for 2024 are provisional.

    Changes as of 11 September 2025: Annual figures for 2024 are available. In the context of the revision policy of the National accounts the annual figures from 1995 of the financial accounts of general government have been revised. The annual figures for 2023 are final.

    When will new figures be published? New provisional data are published in July or August after the end of the reporting year. The previous provisional figures will become final and previous final figures can be revised at the same time. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

  17. w

    Asset database for the Namoi subregion on 15 January 2015

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    Updated Feb 8, 2017
    + more versions
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    Bioregional Assessment Programme (2017). Asset database for the Namoi subregion on 15 January 2015 [Dataset]. https://data.wu.ac.at/odso/data_gov_au/ZjgwM2YxZmYtODBlYy00MjcxLThjMjQtNmVhOWQyOGZkYmI4
    Explore at:
    Dataset updated
    Feb 8, 2017
    Dataset provided by
    Bioregional Assessment Programme
    Area covered
    Namoi River
    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 dataset contains the spatial and non-spatial (attribute) components of the Namoi subregion Asset List as an .mdb file, which is readable as an MS Access database or as an ESRI Personal Geodatabase.

    Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Namoi is included in the zip file as part of this dataset (Namoi_Phase01_Final.pdf).

    Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Namoi subregion are found in the "AssetList" table of the database.

    Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "NAM_AssetList_v4_20150115_description.doc", located in the zip file as part of this dataset.

    The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.

    Detailed information describing the database structure and content can be found in the document "NAM_AssetList_v4_20150115_description.doc" located in the zip file as part of this dataset.

    Some of the source data used in the compilation of this dataset is restricted. This dataset is not to be published in its current form.

    A spreadsheet that contains the Namoi Asset List and the Water Dependent Asset Register is available for public release:

    Water-dependent asset register and asset list for the Namoi subregion on 15 January 2015

    ID: de112f5b-a4e8-4238-b8e6-662ca8c0ea51

    Purpose

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

    Dataset History

    On 20 April 2015 the title of this database was changed from "Namoi_AssetList_Database_v4_20150115".

    This dataset replicates the spatial and tabular content and structure of the previous version of the Namoi asset list ("Asset list for Namoi - CURRENT"; ID: 538c717c-c04a-4720-8bcd-96fbdf7f0d80) with the exception that decisions made by the Namoi Project Team concerning Materiality Test 2 (water dependency) have been incorporated into the AssetList table, which are used to define the water dependent asset register.

    Date Notes

    22/07/2014 Initial database for asset related tables and feature classes, and imported element data from element list database

    5/09/2014 Updated database with updated WSP/GWMP/RegRiv assets/elements; additional WSP plus point water volume data and additional RegRiv plus point water volume data

    18/11/2014 Merge some assets with non standard classification to standard classification

    18/11/2014 add additional point groundwater economic data ( 121 new elements)

    18/11/2014 add additional point surface water economic data (49 new elements)

    15/01/2015 Incorporate materiality decisions (M2) from project team into AssetList table

    Dataset Citation

    Bioregional Assessment Programme (2015) Asset database for the Namoi subregion on 15 January 2015. Bioregional Assessment Derived Dataset. Viewed 08 February 2017, http://data.bioregionalassessments.gov.au/dataset/c32e70ad-9357-4297-a5dd-e1f1e1f5255f.

    Dataset Ancestors

  18. d

    Asset database for the Cooper subregion on 12 May 2016

    • data.gov.au
    • researchdata.edu.au
    • +1more
    Updated Nov 19, 2019
    + more versions
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    Bioregional Assessment Program (2019). Asset database for the Cooper subregion on 12 May 2016 [Dataset]. https://data.gov.au/data/dataset/groups/90230311-b2e7-4d4d-a69a-03daab0d03cc
    Explore at:
    Dataset updated
    Nov 19, 2019
    Dataset provided by
    Bioregional Assessment Program
    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.

    The asset database for Cooper subregion (v4) supersedes previous version (v3) of the Cooper Asset database (Asset database for the Cooper subregion on 27 August 2015, GUID: 0b122b2b-e5fe-4166-93d1-3b94fc440c82). It contains the Asset database (COO_asset_database_20160512.mdb), a Geodatabase version for GIS mapping purposes (COO_asset_database_GISOnly_20160512.gdb), the draft Water Dependent Asset Register spreadsheet (BA-LEB-COO-130-WaterDependentAssetRegister-AssetList-v20160512.xlsx), a data dictionary (COO_asset_database_doc_20160512.doc), a folder (Indigenous_doc) containing documentation associated with Indigenous water asset project and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process as outlined

    The Asset database is registered to the BA repository as an ESRI personal goedatabase (.mdb - doubling as a MS Access database) that can store, query, and manage non-spatial data while the spatial data is in a separate file geodatabase joined by AID/ElementID.

    Under the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Cooper is included in the zip file as part of this dataset.

    Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Cooper subregion are found in the "AssetList" table of the database.

    Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of " COO_asset_database_doc_20160512.doc ", located in this file.

    Some of the source data used in the compilation of this dataset is restricted.

    The public version of this asset database can be accessed via the following dataset: Asset database for the Cooper subregion on 12 May 2016 Public (https://data.gov.au/data/dataset/bffa0c44-c86f-4f81-8070-2f0b13e0b774)

    Dataset History

    Version ID Date Notes

    1.0 27/03/2015 Initial database

    2.0 14/08/2015 "(1) Updated the database for M2 test results provided from COO assessment team and created the draft BA-LEB-COO-130-WaterDependentAssetRegister-AssetList-V20150814.xlsx

    (2) updated the group, subgroup, class and depth for (up to) 2 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_20150814 in COO_asset_database_20150814.mdb

    (3) As a result of (2), added one new asset separated from one existing asset. This asset and its parent are listed in table LUT_ADD_1_asste_20150814 in COO_asset_database_20150814.mdb. The M2 test result for this asset is inherited from its parent in this version

    (5) Added Appendix C in COO_asset_database_doc_201500814.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 COO_asset_database_20150814.mdb.mdb for total assets and total numbers

    (7)The databases, especially spatial database (COO_asset_database_20150814Only.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"

    3.0 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-COO-130-WaterDependentAssetRegister-AssetList-V20150827) also updated accordingly. No changes to asset numbers.

    4.0 12/05/2016 "Total number of registered water assets was increased by 26(1+25) due to:

    (a) The one asset changed M2 test to "Yes" from the review done by Ecologist group. The original data is included the database as the table tbl_COO _Species_TEC_decisions_reveiw_23112015

    (b) 53 indigenous water assets from OWS were added ( but only 25 assets meet the criteria of the registration and are registered) . The data and documents from OWS are included in subdirectory Indigenous_doc

    (c)The draft new Water Dependent Asset Register file (BA-LEB-COO-130-WaterDependentAssetRegister-AssetList-v20160512.xlsx) was created.

    "

    Dataset Citation

    Bioregional Assessment Programme (2014) Asset database for the Cooper subregion on 12 May 2016. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/90230311-b2e7-4d4d-a69a-03daab0d03cc.

    Dataset Ancestors

  19. c

    Define Risk Price Prediction Data

    • coinbase.com
    Updated Nov 12, 2025
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    (2025). Define Risk Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-define-risk-4461
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    Dataset updated
    Nov 12, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Define Risk over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  20. w

    Asset database for the Galilee subregion on 10 September 2015

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    Updated Feb 7, 2017
    + more versions
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    Bioregional Assessment Programme (2017). Asset database for the Galilee subregion on 10 September 2015 [Dataset]. https://data.wu.ac.at/schema/data_gov_au/ZTk1NGZmYTItYTEyNi00MDAxLTk3MzctMDEyODdmYjdiYTFm
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    Dataset updated
    Feb 7, 2017
    Dataset provided by
    Bioregional Assessment Programme
    Description

    Abstract

    The 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.

    This database supersedes Asset database for the Galilee subregion on 22 May 2015, 781e858b-9604-4a9f-adb9-ebbf276a2dd9.

    This dataset contains the spatial and non-spatial (attribute) components of the Galilee subregion Asset List as one .mdb file, which is readable as an MS Access database and a personal geodatabase and one .gbb file (personal geodatabase file). It also contains the "Water-dependent asset register and asset list" (BA-LEB-GAL-130-WaterDependentAssetRegister-AssetList-v20150910.xlsx), a data dictionary document as well as documentation about the WAIT process and development of the initial input data from regional partners (NRM_DOC folder).

    Under the BA program, a spatial assets database is developed for each defined Bioregional Assessment subregion. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. All reports received associated with the WAIT process for Galilee are included in the zip file as part of this dataset. Elements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Galilee subregion are found in the "AssetList" table of the database. In this version of the database, M1 and M2 have both been assessed. Assets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of "GAL_asset_database_doc_20150910.doc", located in the zip file as part of this dataset. The "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset. Detailed information describing the database structure and content can be found in the document "GAL_asset_database_doc_20150910.doc.doc" located in the zip file. Some of the source data used in the compilation of this dataset is restricted.

    Purpose

    For creation of asset list for bioregional assessment

    Dataset History

    VersionID Date Notes

    1.0 23/12/2013 Initial database

    1.01 3/02/2014 updated 207 Names in table AssetList using AssetName in table NRM_Water_Asset for those recodes from source WAIT_Burdekin

    1.01 3/02/2014 removed the space at the beginning of Unnamed)_South Australian Arid Lands_66329 and (Unnamed)_South Australian Arid Lands_57834

    1.01 20/02/2014 The database is not changed. About 36 self intersect polygons in spatial data were fixed. New shapefile name for polygon is Galilee_AssetList_geoPolygon20140220.shp

    3.0 23/04/2014 "Updated universally changing ""AssetID"" to ""ElementID"" and changing the name of the ""AssetList"" table to ""ElementList"". A table to include Queensland threatened species data has also been added, and ElementIDs added to the ""ElementList"" table."

    2.0 23/04/2014 Errors found after handover to CSIRO. Updated immediately to v3.0.

    4.0 24/04/2014 Queensland threatened species data updated to new sequence of ElementIDs. New spatial data provided [NAME]

    8 5/05/2014 It is generally ready except calcification and asset area

    9.0 28/11/2014 "Add additional datasets such as QLD_DERM PR Waterbodies, QLD_DERM PR Waterbodies QLD RegionalEcosystems as request

    Update GDEsub, GDEsur, QLD_ DNRM_ECON_GW QLD_ DNRM_ECON_SW as request"

    10 22/05/2015 Updated database tables of AssetDecisions and AssetList for M2 and M3 test results

    11 10/09/2015

    (1) AID 70360 added for potential distribution of Largetooth Sawfish (Pristis pristis (Pristis microdon)). Attributes in additional attribute look-up table tbl_Species_EPBC_PristisPristis.

    (2) The (brief) explanation for M2 decisions has been updated based on advice from the project team, replacing detailed explanations which were truncated in the Assetlist and AssetDecisions tables. The detailed explanation is retained in the DecisionReason field of the AssetDecisions table. Note there are no changes to decision outcomes or numbers of assets on the asset register;

    (3) The draft BA-LEB-GAL-130-WaterDependentAssetRegister-AssetList-V20150910.xlsx as has been updated as an output of this database. The brief M2_decision replaces the extended decision rationale that was included in the last version of the spreadsheet.

    (4) x15 elements associated with the (single) asset named "No_Asset" (AID = 0) were removed from the database (deleted from the AssetList, Element_to_asset and ElementList tables, and also from the element and asset polygon layers). These polygons were exact duplicates of other elements from the same source dataset and had been previously grouped as "No_Asset". This action will not affect the asset count for the asset list or the water dependent asset register.

    Dataset Citation

    Bioregional Assessment Programme (2013) Asset database for the Galilee subregion on 10 September 2015. Bioregional Assessment Derived Dataset. Viewed 07 February 2017, http://data.bioregionalassessments.gov.au/dataset/c22a13bf-07ea-4eaa-960d-79d488a50496.

    Dataset Ancestors

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Federal Geographic Data Committee (FGDC) National Geospatial Data Asset (NGDA) Portfolio Management Team (Custodian) (2022). List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As Endorsed by the Federal Geospatial Data Committee (FGDC) [Dataset]. https://catalog.data.gov/dataset/list-of-national-geospatial-data-assets-ngdas-portfolio-datasets-as-endorsed-by-the-federal-geo2
Organization logoOrganization logo

List of National Geospatial Data Assets (NGDAs) Portfolio Datasets As Endorsed by the Federal Geospatial Data Committee (FGDC)

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Dataset updated
Dec 14, 2022
Dataset provided by
National Geospatial-Intelligence Agencyhttp://www.nga.mil/
Federal Geographic Data Committee
Description

An National Geospatial Data Asset (NGDA) is defined as a geospatial dataset that has been designated by the FGDC Steering Committee and meets at least one of the following criteria: used by multiple agencies or with agency partners such as State, Tribal and local governments; applied to achieve Presidential priorities as expressed by OMB; required to meet shared mission goals of multiple Federal agencies; or expressly required by statutory mandate. Together, these datasets comprise the NGDA Portfolio. This metadata points to a spreadsheet that contains the official list of NGDA with a link to specific NGDA metadata maintained by the dataset owners on Data.gov, GeoPlatform.gov, a link to their associated NGDA Theme, and the agency responsible for the NGDA.

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