Completed data entry forms on SADME databases for directory being compiled by the BMR. Completed data entry forms on SADME databases for directory being compiled by the BMR.
The Master Address Repository (MAR) 2.0 is the successor to the Master Address Repository. The Master Address Repository is a complex and widely accessed database that is increasingly being accessed by many DC Government applications. It is important to have high quality documentation readily accessible for such widely used databases. This document contains the column (field) definitions for the most important views, tables and feature classes within the MAR 2.0.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources. Recreation Information Database (RIDB) Application Programming Interface (API) is provided for the purpose of accessing RIDB API endpoints which contain information for federal recreation areas, facilities, campsites, tours, and permits. Federal agencies provide and are responsible for the quality of data contained in the RIDB. Some data may be missing or incomplete. For example, some latitudes and longitudes may be blank. Please be mindful of this when searching for something in particular or applying proximity (radius) filters. Resources in this dataset:Resource Title: RIDB.recreation.gov. File Name: Web Page, url: https://ridb.recreation.gov/ RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources.
CONTACTS FOR THIS RECORD
Iowa Public Employment Relations Board (PERB) electronic research and retrieval database system. This system provides access to full-text documents including: Contracts, Contracts Archive, PERB and Court Decisions, and Neutral Decisions.
Contracts – Contracts published and included in this database are only those forwarded to PERB by the parties. Contracts Archive – Contracts that were forwarded to PERB and have expired, beginning with those that expired in 2008, are included in this database.
PERB and Court Decisions – In this database, the PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.
Neutral Decisions – The neutral decisions database includes recent and a number of prior years’ fact-finding and interest arbitration decisions. Additionally, it includes only those grievance arbitration decisions forwarded to PERB for publication by the arbitrator with consent of the parties involved. Click on the Contents tab of the database to view all documents contained in the database.
PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.
This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework. The Oregon Biodiversity Information Center (ORBIC), part of the Institute for Natural Resources (INR) within the Oregon University System, has been the steward of Oregon’s protected areas data since 1989. This data is incorporated into the NavigatOR GIS utility and the national US protected areas database maintained by the U.S. Geological Survey. New data in Oregon on conservation easements and newly developed protected area maps from local land trusts and County and City governments were incorporated in 2011-2013. The result is a very comprehensive map and protected areas database for Oregon. Updates and edits will continue to be made to improve the dataset.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This table lists the clients reported by lobbyists. You can recreate the City Clerk's lobbyist database by downloading all lobbyist datasets on the data portal and view the complete data model of the lobbyist database here: https://services.austintexas.gov/edims/document.cfm?id=293053
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
The open data portal catalogue is a downloadable dataset containing some key metadata for the general datasets available on the Government of Canada's Open Data portal. Resource 1 is generated using the ckanapi tool (external link) Resources 2 - 8 are generated using the Flatterer (external link) utility. ###Description of resources: 1. Dataset is a JSON Lines (external link) file where the metadata of each Dataset/Open Information Record is one line of JSON. The file is compressed with GZip. The file is heavily nested and recommended for users familiar with working with nested JSON. 2. Catalogue is a XLSX workbook where the nested metadata of each Dataset/Open Information Record is flattened into worksheets for each type of metadata. 3. datasets metadata contains metadata at the dataset
level. This is also referred to as the package
in some CKAN documentation. This is the main
table/worksheet in the SQLite database and XLSX output. 4. Resources Metadata contains the metadata for the resources contained within each dataset. 5. resource views metadata contains the metadata for the views applied to each resource, if a resource has a view configured. 6. datastore fields metadata contains the DataStore information for CSV datasets that have been loaded into the DataStore. This information is displayed in the Data Dictionary for DataStore enabled CSVs. 7. Data Package Fields contains a description of the fields available in each of the tables within the Catalogue, as well as the count of the number of records each table contains. 8. data package entity relation diagram Displays the title and format for column, in each table in the Data Package in the form of a ERD Diagram. The Data Package resource offers a text based version. 9. SQLite Database is a .db
database, similar in structure to Catalogue. This can be queried with database or analytical software tools for doing analysis.
A look up table of each lobbyist report types. You can recreate the City Clerk's lobbyist database by downloading all lobbyist datasets on the data portal and view the complete data model of the lobbyist database here: https://www.austintexas.gov/edims/document.cfm?id=293053
A look up table of each due date associated with a lobbyist's quarterly activity report. You can recreate the City Clerk's lobbyist database by downloading all lobbyist datasets on the data portal and view the complete data model of the lobbyist database here: https://www.austintexas.gov/edims/document.cfm?id=293053
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This table lists each real property associated with a lobbyist's municipal question. You can recreate the City Clerk's lobbyist database by downloading all lobbyist datasets on the data portal and view the complete data model of the lobbyist database here: https://services.austintexas.gov/edims/document.cfm?id=293053
There is no abstract created for this record There is no abstract created for this record
Geoscape G-NAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.
From 22 August 2022, Geoscape Australia is making G-NAF available in an additional simplified table format. G-NAF Core makes accessing geocoded addresses easier by utilising less technical effort.
G-NAF Core will be updated on a quarterly basis along with G-NAF.
Further information about contributors to G-NAF is available here.
With more than 15 million Australian physical address record, G-NAF is one of the most ubiquitous and powerful spatial datasets. The records include geocodes, which are latitude and longitude map coordinates. G-NAF does not contain personal information or details relating to individuals.
Updated versions of G-NAF are published on a quarterly basis. Previous versions are available here
Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.
Changes in the May 2025 release
Nationally, the May 2025 update of G-NAF shows an overall increase of 47,194 addresses (0.30%). The total number of addresses in G-NAF now stands at 15,753,927 of which 14,909,770 or 94.64% are principal.
At some locations, there are unit-numbered addresses that appear to be duplicate addresses. Geoscape is working to identify these locations and include these addresses as separate addresses in G-NAF. To facilitate this process, some secondary addresses have had the word RETAIL added to their building names. In the first instance, this process is being progressively rolled out to identified locations, but it is expected that the requirement for this will become ongoing.
There is one new locality in G-NAF: Keswick Island, QLD.
The source data used for generating G-NAF STREET_LOCALITY_POINT data in New South Wales has an updated datum and changed from GDA94 to GDA2020. This has resulted in updates to the STREET_LOCALITY_POINT geometry for approximately 91,000 records, however, more than 95% of these have moved less than a metre.
Geoscape has moved product descriptions, guides and reports online to https://docs.geoscape.com.au.
Further information on G-NAF, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on G-NAF, including software solutions, consultancy and support.
Additional information: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.
Use of the G-NAF downloaded from data.gov.au is subject to the End User Licence Agreement (EULA)
The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added.
The open G-NAF data must not be used for the generation of an address or the compilation of an address for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information. Further information on this use restriction is available here.
End users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).
Users must also note the following attribution requirements:
Preferred attribution for the Licensed Material:
_G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the _Open Geo-coded National Address File (G-NAF) End User Licence Agreement.
Preferred attribution for Adapted Material:
Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.
G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use. The dataset is primarily designed for application developers and large-scale spatial integration. Users are advised to read the technical documentation, including product change notices and the individual product descriptions before downloading and using the product. A quick reference guide on unpacking the G-NAF is also available.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is a collection of supporting technical documents for the Queensland Digital Cadastral Database (DCDB).
https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 4.65(USD Billion) |
MARKET SIZE 2024 | 5.19(USD Billion) |
MARKET SIZE 2032 | 12.5(USD Billion) |
SEGMENTS COVERED | Deployment Model, Type, Application, End Use, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | increasing data complexity, growing need for connectivity, rising demand for real-time analytics, expanding adoption of AI technologies, enhanced customer relationship management |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Amazon, Neo4j, AllegroGraph, Couchbase, Microsoft, IBM, Redis Labs, GraphDB, Oracle, ArangoDB, DataStax, SAP, TigerGraph, TinkerPop |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Increasing demand for data connectivity, Growth in AI and machine learning, Expansion of IoT applications, Rising need for real-time analytics, Adoption in cybersecurity solutions |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 11.6% (2025 - 2032) |
description: Neighborhoods dataset current as of 2008. File name = NEIGHBORHOODS Created with neighborhood listings in the MDSDAT database. http://www.harfordcountymd.gov/gis/Index.cfm.; abstract: Neighborhoods dataset current as of 2008. File name = NEIGHBORHOODS Created with neighborhood listings in the MDSDAT database. http://www.harfordcountymd.gov/gis/Index.cfm.
[Note: Integrated as part of FoodData Central, April 2019.] The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States and provides the foundation for most food composition databases in the public and private sectors. This is the last release of the database in its current format. SR-Legacy will continue its preeminent role as a stand-alone food composition resource and will be available in the new modernized system currently under development. SR-Legacy contains data on 7,793 food items and up to 150 food components that were reported in SR28 (2015), with selected corrections and updates. This release supersedes all previous releases. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_DB.zipResource Description: Locally stored copy - The USDA National Nutrient Database for Standard Reference as a relational database using AcessResource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: Locally stored copy - ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.
A look up table of each subject matter a lobbyist can select to categorize their municipal question. You can recreate the City Clerk's lobbyist database by downloading all lobbyist datasets on the data portal and view the complete data model of the lobbyist database here: https://www.austintexas.gov/edims/document.cfm?id=293053
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains aggregated data for fiscal years 2006-2020 from the Institute of Museum and Library Services' annual public library survey. This transformed version of the data contains aggregated data by material type for all public libraries in the nation, as well as an additional subset of the data for aggregated data by material type for Oklahoma's public libraries. Column headers include: Year, Print Materials, Electronic Materials, Other Materials, and Total. Material categories represent: material expenditures for physical materials (books, current serial subscriptions, government documents, and any other print acquisitions), electronic materials (ebooks, e-serials, government documents, databases, electronic files, reference tools, scores, maps, or pictures, including materials digitized by the library), and other materials (microform, audio, video, DVD, and new formats). These values were directly pulled from corresponding datasets for each public library from the PRMATEXP, ELMATEXP, and OTHMATEX columns, representing physical, electronic, and other material expenditures, respectively. Negative and zero values (-3, -1, 0) were excluded from categorical tallies, with -3 values representing closed or temporarily closed administrative entities. No explanation for -1 or 0 values was present in IMLS documentation. Valued were tallied by column after negative and zero values were excluded, with final tallies for each data column included in the attached dataset. Lastly, annually tallied were summed by each year in both National and State datasets. Two sets of the data are available: One set with two tabs (one each for National and State spending) in an Excel format, and two separate files (one each for National and State spending) in a CSV format.
Link to dataset in Harvard Dataverse: https://doi.org/10.7910/DVN/5ANJTD
\[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.
\[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\]
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
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.
Derived From Flood Extent 100 year extent West Gippsland Catchment Management Authority GIP v140701
Derived From Surface Water Economic Entitlements GIP 20141219
Derived From West Gippsland Regional Catchment Strategy Landscape Priorities WGCMA GIP 20121205
Derived From Irrigation District Department of Environment and Primary Industries GIP
Derived From Surface Water and Groundwater Entitlement Data with Volumes - DEPI Regs Cat6 Victoria 20141218
Derived From Communities of National Environmental Significance Database - RESTRICTED - Metadata only
Derived From National Groundwater Dependent Ecosystems (GDE) Atlas
Derived From Victorian Water Supply Protection Areas
Derived From National Groundwater Information System (NGIS) v1.1
Derived From Birds Australia - Important Bird Areas (IBA) 2009
Derived From Southern Rural Water SW Locations with BOM Regulations Category 6 Volumes Gippsland 20150430
Derived From Gippsland Project boundary
Derived From Victorian Groundwater Management Areas
Derived From Plantation Forests Public Land Management(PLM25) DEPI GIP 201410
Derived From National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)
Derived From Surface Water Entitlement Locations Gippsland Southern Rural Water 20141218
Derived From Ramsar Wetlands of Australia
Derived From National Groundwater Information System Victorian Extract (2014-03-21)
Derived From GEODATA TOPO 250K Series 3
Derived From Groundwater Licences Entitlement Volume To Bores Vic DEPI 20141021
Derived From Groundwater Economic Elements Gippsland 20141120
Derived From Commonwealth Heritage List Spatial Database (CHL)
Derived From Potential Groundwater Dependent Ecosystems for West Gippsland Catchment Management Authority
Derived From Victorian Biodiversity Atlas flora - 1 minute grid summary
Derived From Unreg surface water licences DELWP Gippsland 20150301
Derived From National Heritage List Spatial Database (NHL) (v2.1)
Derived From Gippsland Basin bioregion Asset List v01 - 20141210
Derived From Victorian Farm Dam Boundaries
Derived From Gippsland Basin bioregion Preliminary Assessment Extent (PAE)
Derived From [Victoria Regional CMA - Water Asset Information Tool - WAIT
Completed data entry forms on SADME databases for directory being compiled by the BMR. Completed data entry forms on SADME databases for directory being compiled by the BMR.