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

OverviewThis 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 DefinitionsAggregation The process of summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes.CapacityThe 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 organised 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 TypeThe classification of a reservoir based on the method of construction, the purpose it serves or the source of water it stores.Schema Structure for organising 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 HistoryData OriginReservoir 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 ConsiderationsIdentification of Critical InfrastructureSpecial 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 AnonymisationThe risk of personal information exposure is minimal to none since the data concerns reservoir levels, which are not linked to individuals or households.Data Triage Review FrequencyAnnually unless otherwise requested. Data FreshnessIt 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.Publish FrequencyAnnuallyData SpecificationsData 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: o Open bodies of water used to store raw/untreated water o Filled naturally o Measurable o Contain water that may go on to be used for public supply ContextThis 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. For Wessex Water reservoir total capacity information is based on gross capacity of the reservoir. Current percentage full will be a percentage of this gross capacity.Level information is provided as meters below spillway. Where the water level is 0 m it is equal to the height of the spillway, which is equivalent to 100% of the total volume storage available.Supplementary InformationBelow is a curated selection of links for additional reading, which provide a deeper understanding of this dataset. 1. Uses of Reservoirs: https://britishdams.org/about-dams/dam-information/uses-for-reservoirs/2. Inventory of UK Reservoirs: https://catalogue.ceh.ac.uk/documents/f5a7d56c-cea0-4f00-b159-c3788a3b2b383. Reservoirs Act 1975 as applied in England: https://britishdams.org/assets/documents/Dam%20Legislation%20-%20England%20-%20October%202016.pdf4. Reservoirs Act (Northern Ireland) 2015: https://britishdams.org/assets/documents/Dam%20Legislation%20-%20Northern%20Ireland%20-%20October%202016.pdf5. Reservoirs (Scotland) Act 2011: https://britishdams.org/assets/documents/Dam%20Legislation%20-%20Scotland%20-%20October%202016.pdf6. Reservoirs Act 1975 as applied in Wales: https://britishdams.org/assets/documents/Dam%20Legislation%20-%20Wales%20-%20October%202016.pdf7. Monthly local reports on reservoir levels: https://www.gov.uk/government/publications/water-situation-local-area-reports

This layer provides the current primary parcel polygons and some associated descriptive data that details the appellation (legal description), purpose, size and a list of titles that have an interest in the parcel.

A primary parcel is a portion of land that is intended to be : • owned by the Crown, except moveable marginal strips • Held in fee simple (predominately private ownership) • Maori freehold land or Maori customary land • Public foreshore and seabed • The bed of a lake or river • Road or Railway • Vested in a local authority

APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. "https://data.linz.govt.nz/layer/50772-nz-primary-parcels/services/">LDS APIs and OGC web services ArcGIS Online map services

Primary parcels can be thought of as the 'base level' of the 'jigsaw puzzle' of all land making up New Zealand. Other 'levels' are NZ Non-primary parcels that essentially limit the full rights that would normally be associated with a primary parcel for example easements, covenants, leases and moveable marginal strips etc.

If you require approved or historic parcels see the All Parcels Layer

This layer has a nominal accuracy of 0.1-1m in urban areas and 1-100m in rural areas. For more detailed information about parcel accuracies please refer to the "https://data.linz.govt.nz/layer/50774">Survey Boundary Marks layer which contains accuracies for each parcel node.

The combination of this layer with the non-primary parcels layer provides all current parcels for New Zealand (i.e. excludes Historic and Pending parcels)

The originating data for parcel/title associations includes some non-official sources where the official data does not support a link. For more information see the LINZ website

The elevation surface representing the top of the Devonian Watt Mountain Formation. Click here to access and download the raster. A gridded elevation surface interpolated within a modelling software package over the areal extent of a model zone, using as input point data and/or other input data types. The resulting surface defines the elevation (z) of a model zone top, and is manipulated where necessary to eliminate crossovers with adjacent elevation surface tops and/or to honour unconformities. This dataset represents an extracted output from the Alberta Geological Survey's Geological Framework of Alberta, Version 3 and/or the geological data used in its creation. Version 3 is comprised of 90 layers of Alberta’s subsurface from the ground surface to a horizontal elevation of six kilometres below sea level, excluding the deformed belt of southwestern Alberta. If you use information from this publication in other publications or presentations, please acknowledge the Alberta Energy Regulator / Alberta Geological Survey (AER/AGS). We recommend the reference format found on the “About” page on the Geological Framework of Alberta, Version 3 Portal. The information (including data) contained herein was collected by the Alberta Energy Regulator (AER). The “Geological Framework of Alberta, Version 3” website (the site) was created and is maintained by the Alberta Energy Regulator (AER). Use of the site and any of the data, text, maps and other information on the site (collectively "content") is governed by the terms and conditions set out below ("Terms of Use"). By accessing and using this site, you are agreeing that you accept the Terms of Use.

The elevation surface representing the top of the Triassic middle Montney Formation (A - excluding middle Montney below turbidite). Click here to access and download the raster. A gridded elevation surface interpolated within a modelling software package over the areal extent of a model zone, using as input point data and/or other input data types. The resulting surface defines the elevation (z) of a model zone top, and is manipulated where necessary to eliminate crossovers with adjacent elevation surface tops and/or to honour unconformities. This dataset represents an extracted output from the Alberta Geological Survey's Geological Framework of Alberta, Version 3 and/or the geological data used in its creation. Version 3 is comprised of 90 layers of Alberta’s subsurface from the ground surface to a horizontal elevation of six kilometres below sea level, excluding the deformed belt of southwestern Alberta. If you use information from this publication in other publications or presentations, please acknowledge the Alberta Energy Regulator / Alberta Geological Survey (AER/AGS). We recommend the reference format found on the “About” page on the Geological Framework of Alberta, Version 3 Portal. The information (including data) contained herein was collected by the Alberta Energy Regulator (AER). The “Geological Framework of Alberta, Version 3” website (the site) was created and is maintained by the Alberta Energy Regulator (AER). Use of the site and any of the data, text, maps and other information on the site (collectively "content") is governed by the terms and conditions set out below ("Terms of Use"). By accessing and using this site, you are agreeing that you accept the Terms of Use.

OverviewWater companies in the UK are responsible for testing the quality of drinking water. This dataset contains the results of samples taken from the taps in domestic households to make sure they meet the standards set out by UK and European legislation. This data shows the location, date, and measured levels of determinands set out by the Drinking Water Inspectorate (DWI).Key Definitions  AggregationProcess involving summarising or grouping data to obtain a single or reduced set of information, often for analysis or reporting purposes  Anonymisation Anonymised data is a type of information sanitisation in which data anonymisation tools encrypt or remove personally identifiable information from datasets for the purpose of preserving a data subject's privacy Dataset Structured and organised collection of related elements, often stored digitally, used for analysis and interpretation in various fields.  Determinand A constituent or property of drinking water which can be determined or estimated. DWI Drinking Water Inspectorate, an organisation “providing independent reassurance that water supplies in England and Wales are safe and drinking water quality is acceptable to consumers.”  DWI Determinands Constituents or properties that are tested for when evaluating a sample for its quality as per the guidance of the DWI. For this dataset, only determinands with “point of compliance” as “customer taps” are included.   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.  LSOA Lower-Level Super Output Area is made up of small geographic areas used for statistical and administrative purposes by the Office for National Statistics. It is designed to have homogeneous populations in terms of population size, making them suitable for statistical analysis and reporting. Each LSOA is built from groups of contiguous Output Areas with an average of about 1,500 residents or 650 households allowing for granular data collection useful for analysis, planning and policy- making while ensuring privacy.  ONS Office for National Statistics  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.  Sample A sample is a representative segment or portion of water taken from a larger whole for the purpose of analysing or testing to ensure compliance with safety and quality standards.  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.  Water Quality The chemical, physical, biological, and radiological characteristics of water, typically in relation to its suitability for a specific purpose, such as drinking, swimming, or ecological health. It is determined by assessing a variety of parameters, including but not limited to pH, turbidity, microbial content, dissolved oxygen, presence of substances and temperature.Data HistoryData Origin  These samples were taken from customer taps. They were then analysed for water quality, and the results were uploaded to a database. This dataset is an extract from this database.Data Triage Considerations Granularity Is it useful to share results as averages or individual? We decided to share as individual results as the lowest level of granularity Anonymisation It is a requirement that this data cannot be used to identify a singular person or household. We discussed many options for aggregating the data to a specific geography to ensure this requirement is met. The following geographical aggregations were discussed: • Water Supply Zone (WSZ) - Limits interoperability with other datasets • Postcode – Some postcodes contain very few households and may not offer necessary anonymisation • Postal Sector – Deemed not granular enough in highly populated areas • Rounded Co-ordinates – Not a recognised standard and may cause overlapping areas • MSOA – Deemed not granular enough • LSOA – Agreed as a recognised standard appropriate for England and Wales • Data Zones – Agreed as a recognised standard appropriate for Scotland Data Triage Review Frequency Annually unless otherwise requested Publish FrequencyAnnuallyData Specifications • Each dataset will cover a year of samples in calendar year • This dataset will be published annually • Historical datasets will be published as far back as 2016 from the introduction of The Water Supply (Water Quality) Regulations 2016 • The determinands included in the dataset are as per the list that is required to be reported to the Drinking Water Inspectorate. • A small proportion of samples could not be allocated to an LSOA – these represented less than 0.1% of samples and were removed from the dataset in 2023. • The postcode to LSOA lookup table used for 2022 was not available when 2023 data was processed, see supplementary information for the lookup table applied to each calendar year of data. Context Many UK water companies provide a search tool on their websites where you can search for water quality in your area by postcode. The results of the search may identify the water supply zone that supplies the postcode searched. Water supply zones are not linked to LSOAs which means the results may differ to this dataset. Some sample results are influenced by internal plumbing and may not be representative of drinking water quality in the wider area. Some samples are tested on site and others are sent to scientific laboratories.Supplementary informationBelow is a curated selection of links for additional reading, which provide a deeper understanding of this dataset.   1. Drinking Water Inspectorate Standards and Regulations: https://www.dwi.gov.uk/drinking-water-standards-and-regulations/   2. LSOA (England and Wales) and Data Zone (Scotland): https://www.nrscotland.gov.uk/files/geography/2011-census/geography-bckground-info-comparison-of-thresholds.pdf   3. Description for LSOA boundaries by the ONS: https://www.ons.gov.uk/methodology/geography/ukgeographies/censusgeographies/census2021geographies4. Postcode to LSOA lookup tables (2022 calendar year data): https://geoportal.statistics.gov.uk/datasets/postcode-to-2021-census-output-area-to-lower-layer-super-output-area-to-middle-layer-super-output-area-to-local-authority-district-august-2023-lookup-in-the-uk/about   5. Postcode to LSOA lookup tables (2023 calendar year data):  https://geoportal.statistics.gov.uk/datasets/b8451168e985446eb8269328615dec62/about6. Legislation history: https://www.dwi.gov.uk/water-companies/legislation/

The elevation surface representing the top of the Cretaceous Blackstone Formation. Click here to access and download the raster. A gridded elevation surface interpolated within a modelling software package over the areal extent of a model zone, using as input point data and/or other input data types. The resulting surface defines the elevation (z) of a model zone top, and is manipulated where necessary to eliminate crossovers with adjacent elevation surface tops and/or to honour unconformities. This dataset represents an extracted output from the Alberta Geological Survey's Geological Framework of Alberta, Version 3 and/or the geological data used in its creation. Version 3 is comprised of 90 layers of Alberta’s subsurface from the ground surface to a horizontal elevation of six kilometres below sea level, excluding the deformed belt of southwestern Alberta. If you use information from this publication in other publications or presentations, please acknowledge the Alberta Energy Regulator / Alberta Geological Survey (AER/AGS). We recommend the reference format found on the “About” page on the Geological Framework of Alberta, Version 3 Portal. The information (including data) contained herein was collected by the Alberta Energy Regulator (AER). The “Geological Framework of Alberta, Version 3” website (the site) was created and is maintained by the Alberta Energy Regulator (AER). Use of the site and any of the data, text, maps and other information on the site (collectively "content") is governed by the terms and conditions set out below ("Terms of Use"). By accessing and using this site, you are agreeing that you accept the Terms of Use.