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

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

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

A CSV data dictionary for Sustainable Smart Technologies' / IoT Horizon's MDEP data

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.

Asset database for the Hunter subregion on 24 February 2016 (V2.5) supersedes the previous version of the HUN Asset database V2.4 (Asset database for the Hunter subregion on 20 November 2015, GUID: 0bbcd7f6-2d09-418c-9549-8cbd9520ce18). It contains the Asset database (HUN_asset_database_20160224.mdb), a Geodatabase version for GIS mapping purposes (HUN_asset_database_20160224_GISOnly.gdb), the draft Water Dependent Asset Register spreadsheet (BA-NSB-HUN-130-WaterDependentAssetRegister-AssetList-V20160224.xlsx), a data dictionary (HUN_asset_database_doc_20160224.doc), and a folder (NRM_DOC) containing documentation associated with the Water Asset Information Tool (WAIT) process as outlined below. This version should be used for Materiality Test (M2) test.

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_20160224.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_20160224.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 Hunter subregion on 24 February 2016 Public 20170112 v02 (https://data.gov.au/data/dataset/9d16592c-543b-42d9-a1f4-0f6d70b9ffe7)

Dataset History

OBJECTID VersionID Notes Date_

1 1 Initial database. 29/08/2014

3 1.1 Update the classification for seven identical assets from Gloucester subregion 16/09/2014

4 1.2 Added in NSW GDEs from Hunter - Central Rivers GDE mapping from NSW DPI (50 635 polygons). 28/01/2015

5 1.3 New AIDs assiged to NSW GDE assets (Existing AID + 20000) to avoid duplication of AIDs assigned in other databases. 12/02/2015

6 1.4 "(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"  16/06/2015

7 2 "(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" 20/07/2015

8 2.1 "(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)"  27/08/2015

9 2.2 "(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"  8/09/2015

10 2.3 "(1) Updated M2 results from the internal review

           \* Changed "Assessment team do not say No" to "All economic assets are by definition water dependent"

          \* Changed "Assessment team say No" : to "These are water dependent, but excluded by the project team based on intersection with the PAE is negligible"

          \* Changed "Rivertyles" to "RiverStyles""  22/09/2015

11 2.4 "(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"  20/11/2015

12 2.5 "Total number of registered water assets was increased by 1 (= +2-1) due to:

              Two assets changed M2 test from "No" to "Yes" , but one asset assets changed M2 test from "Yes" to "No" 

             from the review done by Ecologist group." 24/02/2016

Dataset Citation

Bioregional Assessment Programme (2015) Asset database for the Hunter subregion on 24 February 2016. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/a39290ac-3925-4abc-9ecb-b91e911f008f.

Dataset Ancestors

• Derived From GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514

• Derived From Travelling Stock Route Conservation Values

• Derived From Spatial Threatened Species and Communities (TESC) NSW 20131129

• Derived From NSW Wetlands

• Derived From Climate Change Corridors Coastal North East NSW

*

The Building Feature Class sits within the National Parks and Wildlife Service (NPWS) Assets Geodatabase. The Building point layer includes Accommodation, Amenities, Commercial/Retail premises and Sheds. It also includes private buildings adjacent to Parks tagged as "Threatened Property" for emergency services.

The Assets Geodatabase is directly related to the Assets Maintenance System (AMS) which runs under SAP and contains similar fields, values and business rules. The Assets Geodatabase is the vehicle in which spatial assets are initially captured, edited and stored so that the features have coordinates and can be viewed spatially. The data is collected across the entire NSW National Parks Estate and includes some off-park features for fire management, access and mapping purposes. The spatial feature data is manually synchronised with the AMS. The two systems run side by side and are linked by an ID field. AMS is also set up to be used by other Department Planning, Industry & Environment groups eg. Botanic Gardens and Parklands and previously Marine Parks.

The database includes the following asset Feature Class types - Barrier, Bridge or Elevated Walkway, Building, Communication Equipment, Crossing, Drainage Point, Environmental Monitoring Station, Extractive industry, Facility, Fence Handrail, Fire Management Zone, Gate, Hazards, Hydraulic Point, Hydraulic Storage Point, Hydraulic Valve, Irrigation System, Landing, Landing Strip, Lookout, Natural Feature, Other Structure, Parking Area, Pipe Channel Section, Power or Communication line, Power or Communication point, Sign, Step point, Stormwater Drainage Line, Surface, Survey Mark, Tower, Track Section, Treatment Disposal System, Visitor Area, Visitor Monitoring Point. Detailed documentation is available including: - Data Dictionary (internal location - P:\Corporate\Tools\Information\Assets) - Data Model - Business Rules - Functional Location and Naming Convention

Note that for external supply the dataset is simplified with certain attribute fields being removed. Those fields that have a name prefixed with "d_" contain descriptions extracted from the original geodatabase domains.

Analysis of ‘Highway Data Element Dictionary’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/dd52c45e-ba08-4e9a-bd05-ab7c07830123 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

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

--- Original source retains full ownership of the source dataset ---

Abstract copyright UK Data Service and data collection copyright owner. The Quarterly Acquisitions and Disposals of Capital Assets Survey (QCAS) is the new name for a more detailed Quarterly Survey of Capital Expenditure (available from the UK Data Archive under Secure Access conditions from SN 6708 (1998-2014). From quarter one 2015, this new survey will collect the value of capital assets bought and sold, which is important information for the UK National Accounts. It is a statutory survey with a stratified random sample of approximately 27,000 businesses selected from the Inter-Departmental Business Register, where the strata are defined by Standard Industrial Classification (SIC) 2007 and employment size of the business. Results from the survey provide essential information for the UK National Accounts and feed into the compilation of Gross Fixed Capital Formation (GFCF). GFCF is a major component of the expenditure measure of UK Gross Domestic Product (GDP), which shows the total economic activity taking place in the country. It is used to monitor the UK's financial health and prosperity over time and in comparison to other countries. The main reasons for the changes to the survey are to move to the updated European System of Accounts (ESA) 2010 manual, the international guidance for national accounts. Several presentational issues have been addressed but the main changes to the survey are:new questions have been added (increase from 11 to around 30) to improve the quality of estimates and to meet the latest European legislation requirements (ESA 2010) the lower limit of £500 for the value of reported assets has been removed, so all relevant assets (even those below businesses’ Asset Register threshold) should be reported small tools used in production have been included within the definition of GFCFimprovements have been made to the questionnaire’s layout with new sections and headings, designed to make completing the questionnaire easier The data from the new questions will not be included in estimates of GFCF and its components until 2017, when 2 years of data will be available for quality assurance. Linking to other business studies These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research. For the third edition (April 2020), data for quarter 2, 2016 to quarter 1, 2020 have been added, along with a data dictionary covering the same time period.

From 1986 when the first NMFS observers were placed on domestic fishing vessels until the rollout of the re-engineered data model in December of 2007. Debriefed and validated observer data was maintained in the "Domestic" set of tables in the NORPAC database.

The Community Right to Bid allows communities and parish councils to nominate buildings or land for listing by the local authority as an asset of community value. If the assets comes up for sale, the community can ‘pause’ the sale and take up to six months to find the funding required to buy the asset. This must meet the definition of an asset of community value as set out in Section 88 of the Localism Act 2011.

Abstract

This dataset was derived from groundwater data provided by the NSW Office of Water. You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset represents the best available Groundwater entitlement data available for the Gloucester PAE at the time of Writing. 26/03/2015

This data has been created where possible to assign Groundwater volume entitlement information from the NSW office of Water licencing systems where possible to a location in the Gloucester PAE.

Please note licencing information in NSW can be difficult to assign to a location. If a licence is in the process of being traded it may not be tied to a location at the time of data extraction hence it is also difficult to reproduce exact figures to match previous or published sources.

The data included here is primarily from a prepackaged extract from the NSW Office of Water of their definition of the Glouster region. An overlay of their bore data shows that this area would represent most of the allocation activity in the BA Glouster PAE. This data has also been cross checked with NSW Office of Water fact sheets.

Purpose

Processing Groundwater Economic Assets for Gloucester.

Dataset History

This data was primarily created from a prepackaged extract from the NSW Office of Water for their definition of the Glouster region. (date)

The primary file "Gloucester_Basin_Licensed_Bores.csv" included a works number which could be joined to an extract of the National Groundwater Information system (NSW update, Nov 2014 - include GUID).

Tables with volume were then joined by licence number and volume allocated per works (bore in this case).

As significant volumes did not join to a bore other information was sourced to join these to a location.

The following two data sources provided information to join volumes to a location in the area.

1) Geoscience Mining locations - The centroid of the min property was used to assign volume to

2) Publication listing the other Industry agriculture bores (Water Management Plan for the Tiedman

Irrigation Program - Gloucester, May 2012) - A property number for the licences without locations were found here and these were identified from the NSW Cadastre website:http://maps.six.nsw.gov.au/

3) Water Sharing Plans, GMU Feb, 2015

Dataset Citation

Bioregional Assessment Programme (2015) Groundwater Economic Assets GLO 20150326. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/2e314212-0677-40b8-86ff-c5166c6906bd.

Dataset Ancestors

• Derived From Groundwater Entitlement Data Gloucester - NSW Office of Water 20150320

• Derived From Groundwater Entitlement Data GLO NSW Office of Water 20150320 PersRemoved

Current population at a parcel level within Fairfax County as of the VALID_TO date in the attribute table.

For methodology and a data dictionary please view the IPLS data dictionary

Data Description: This dataset contains all basic information on the City of Cincinnati’s fleet. This includes but is not limited to asset types, original costs, maintenance classes, current meter and fueling information, maintenance schedules, owning departments, asset status codes, and estimate replacement information.

Data Creation: This dataset is maintained by the Fleet Services Division of the Department of Public Services (DPS). You can find more information on the Fleet Services Division here: https://www.cincinnati-oh.gov/public-services/about-public-services/fleet-services/

Data Created By: DPS

Refresh Frequency: Daily

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Overview   This dataset provides the measurements of raw water storage levels in reservoirs crucial for public water supply, The reservoirs included in this dataset are natural bodies of water that have been dammed to store untreated water.    Key Definitions   Aggregation  The process of summarizing or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes.    Capacity The maximum volume of water a reservoir can hold above the natural level of the surrounding land, with thresholds for regulation at 10,000 cubic meters in England, Wales and Northern Ireland and a modified threshold of 25,000 cubic meters in Scotland pending full implementation of the Reservoirs (Scotland) Act 2011. Current Level The present volume of water held in a reservoir measured above a set baseline crucial for safety and regulatory compliance. Current Percentage The current water volume in a reservoir as a percentage of its total capacity, indicating how full the reservoir is at any given time. Dataset  Structured and organized collection of related elements, often stored digitally, used for analysis and interpretation in various fields.   Granularity  Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours  ID  Abbreviation for Identification that refers to any means of verifying the unique identifier assigned to each asset for the purposes of tracking, management, and maintenance.   Open Data Triage  The process carried out by a Data Custodian to determine if there is any evidence of sensitivities associated with Data Assets, their associated Metadata and Software Scripts used to process Data Assets if they are used as Open Data.   Reservoir Large natural lake used for storing raw water intended for human consumption. Its volume is measurable, allowing for careful management and monitoring to meet demand for clean, safe water. Reservoir Type The classification of a reservoir based on the method of construction, the purpose it serves or the source of water it stores. Schema  Structure for organizing and handling data within a dataset, defining the attributes, their data types, and the relationships between different entities. It acts as a framework that ensures data integrity and consistency by specifying permissible data types and constraints for each attribute.   Units  Standard measurements used to quantify and compare different physical quantities.     Data History   Data Origin   Reservoir level data is sourced from water companies who may also update this information on their website and government publications such as the Water situation reports provided by the UK government. Data Triage Considerations  Identification of Critical Infrastructure Special attention is given to safeguard data on essential reservoirs in line with the National Infrastructure Act, to mitigate security risks and ensure resilience of public water systems. Currently, it is agreed that only reservoirs with a location already available in the public domain are included in this dataset. Commercial Risks and Anonymisation The risk of personal information exposure is minimal to none since the data concerns reservoir levels, which are not linked to individuals or households. Data Freshness It is not currently possible to make the dataset live. Some companies have digital monitoring, and some are measuring reservoir levels analogically. This dataset may not be used to determine reservoir level in place of visual checks where these are advised. Data Triage Review Frequency   Annually unless otherwise requested  Data Specifications  Data specifications define what is included and excluded in the dataset to maintain clarity and focus. For this dataset: Each dataset covers measurements taken by the publisher. This dataset is published periodically in line with the publisher’s capabilities Historical datasets may be provided for comparison but are not required The location data provided may be a point from anywhere within the body of water or on its boundary. Reservoirs included in the dataset must be: Open bodies of water used to store raw/untreated water Filled naturally Measurable Contain water that may go on to be used for public supply Context  This dataset must not be used to determine the implementation of low supply or high supply measures such as hose pipe bans being put in place or removed. Please await guidance from your water supplier regarding any changes required to your usage of water. Particularly high or low reservoir levels may be considered normal or as expected given the season or recent weather. This dataset does not remove the requirement for visual checks on reservoir level that are in place for caving/pot holing safety. Some water companies calculate the capacity of reservoirs differently than others. The capacity can mean the useable volume of the reservoir or the overall volume that can be held in the reservoir including water below the water table. Data Publish Frequency   Annually

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 1995-2022 are final. The figures for 2023 are provisional.

Changes as of 23 September 2024: Annual figures for 2023 are available. The financial assets and liabilities and the net saving and capital transfers of general government for 2022 have been revised due to updated information. 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 2022 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.

Overview

Reporting of leakage from water networks is based on the concept of monitoring flows at a time when demand is at a minimum which is normally during the night. This dataset includes net night flow measurements for 10% of the publisher’s total district metered areas. This 10% has been chosen on the basis that the telemetry on site is reliable, that it is not revealing of sensitive usage patterns and that the night flow there is typical of low demand.

Key Definitions

Dataset

A structured and organized collection of related elements, often stored digitally, used for analysis and interpretation in various fields.

Data Triage

The process carried out by a Data Custodian to determine if there is any evidence of sensitivities associated with Data Assets, their associated Metadata and Software Scripts used to process Data Assets if they are used as Open Data.

District Metered Area (DMA)

The role of a district metered area (DMA) is to divide the water distribution network into manageable areas or sectors into which the flow can be measured. These areas provide the water providers with guidance as to which DMAs (District Metered Areas) require leak detection work.

Leakage

The accidental admission or escape of a fluid or gas through a hole or crack

Night Flow

This technique considers that in a DMA, leakages can be estimated when the flow into the

DMA is at its minimum. Typically, this is measured at night between 3am and 4am when customer demand is low so that network leakage can be detected.

Centroid

The centre of a geometric object.

Data History

Data Origin

Companies have configured their networks to be able to continuously monitor night flows using district meters. Flow data is recorded on meters and normally transmitted daily to a data centre. Data is analysed to confirm its validity and used to derive continuous night flow in each monitored area.

Data Triage Considerations

Data Quality

Not all DMAs provide quality data for the purposes of trend analysis. It was decided that water companies should choose 10% of their DMAs to be represented in this data set to begin with. The advice to publishers is to choose those with reliable and consistent telemetry, indicative of genuine low demand during measurement times and not revealing of sensitive night usage patterns.

Data Consistency

There is a concern that companies measure flow allowance for legitimate night use and/or potential night use differently. To avoid any inconsistency, it was decided that we would share the net flow.

Critical National Infrastructure

The release of boundary data for district metered areas has been deemed to be revealing of critical national infrastructure. Because of this, it has been decided that the data set shall only contain point data from a centroid within the DMA.

Data Triage Review Frequency

Every 12 months, unless otherwise requested.

Data Limitations

Some of the flow recorded may be legitimate nighttime usage of the network

Some measuring systems automatically infill estimated measurements where none have been received via telemetry. These estimates are based on past flow.

The reason for a fluctuation in night flow may not be determined by this dataset but potential causes can include seasonal variation in nighttime water usage and mains bursts

Data Publish Frequency

Monthly

Supplementary information

Below is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.

Ofwat – Reporting Guidance https://www.ofwat.gov.uk/wp-content/uploads/2018/03/Reporting-guidance-leakage.pdf

Water UK – UK Leakage https://www.water.org.uk/wp-content/uploads/2022/03/Water-UK-A-leakage-Routemap-to-2050.pdf

Residential market value estimates and most recent sales values for owned properties at a parcel level within Fairfax County as of the VALID_TO date in the attribute table.

For methodology and a data dictionary please view the IPLS data dictionary

Introduction The dataset provides detailed information about UK Power Networks' Grid and Primary Sites. It includes key characteristics such as:

Spatial coordinates of each site Year commissioned Asset counts against each site Power transformer count Local authority information Winter and summer demand Transformer ratings

This data is useful for understanding the infrastructure and capacity of the electricity network across its regions.

Methodological Approach

Source: Various internal data domains - geospatial, asset, long term development statement; as well as openly available data from the Ordnance Survey and Office of National Statistics Manipulation: Various data characteristics were combined together using Functional Locations (FLOCs)

Quality Control Statement The data is provided "as is".

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other Contains data from Office for National Statistics licensed under the Open Government Licence v.3.0. Local Authority District (2022) to Grouped Local Authority District (2022) Lookup for EW - data.gov.uk

Contains Ordnance Survey data Crown copyright and database right [2019-]. Free OS OpenData Map Downloads | Free Vector & Raster Map Data | OS Data Hub

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

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 Preliminary Assessment Extent (PAE) is a spatial layer that defines the land surface area contained within a bioregion over which coal resource development may have potential impact on water-dependent assets and receptors associated with those assets (Barrett et al 2013).

Purpose

The role of the PAE is to optimise research agency effort by focussing on those locations where a material causal link may occur between coal resource development and impacts on water dependent assets. The lists of assets collated by the Program are filtered for "proximity" such that only those assets that intersect with the PAE are considered further in the assessment process. Changes to the PAE such as through the identification of a different development pathway or an improved hydrological understanding may require the proximity of assets to be considered again. Should the assessment process identify a material connection between a water dependent asset outside the PAE and coal resource development impacts, the PAE would need to be amended.

Dataset History

The PAE is derived from the intersection of surface hydrology features; groundwater management units; mining development leases and/or CSG tenements; and, directional flows of surface and groundwater.

The following 5 inputs were used by the Specialists to define the Preliminary Assessment Extent:

1. Bioregion boundary

2. Geology and the coal resource

3. Surface water hydrology

4. Groundwater hydrology

5. Flow paths (Known available information on gradients of pressure, water table height, stream direction, surface-ground water interactions and any other available data)

Dataset Citation

Bioregional Assessment Programme (2014) CLM Preliminary Assessment Extent Definition & Report( CLM PAE). Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/2cdd0e81-026e-4a41-87b0-ec003eddc5c1.

Dataset Ancestors

• Derived From Bioregional Assessment areas v02

• Derived From Natural Resource Management (NRM) Regions 2010

• Derived From QLD Petroleum Leases, 28/11/2013

• Derived From Bioregional Assessment areas v01

• Derived From GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)

• Derived From QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013

• Derived From GEODATA TOPO 250K Series 3

• Derived From NSW Catchment Management Authority Boundaries 20130917

• Derived From Geological Provinces - Full Extent