This dataset is published as Open Datanational records of scotland - small area population estimates (2017 to 2021). This is the latest release of data based on small areas (datazones). The dataset contains information at the data zone level mid-year population estimates from 2017 onwards for the Stirling Council area. The published datasets for “All Persons”, “Females” and “Males” are sourced from the annually updated Small Areas Population Estimates (SAPE) on the National Records of Scotland (NRS) website.Of the 6,976 data zones in Scotland, each covering a population of between 500 and 1000 residents, there are 121 within the Stirling Council area.For each data zone within the Stirling Council area, this dataset details the total population and distribution by age for the above, and can be viewed by Ward, Intermediate Zone (IZ) and Scottish Parliamentary Constituency (SPC).© Crown Copyright 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024

This dataset contains the National Records of Scotland mid-year population density estimates for the Stirling Council area from 2000 onwards.

Population estimates are based on the 2022 Census and were updated by taking account of births, deaths and migration up to30 June 2023. A quality assurance report for Scotland’s Census 2022 has been published in the Scotland’s Census website. Births and deaths are estimated using data from the civil registration system, which is considered to be virtually complete. Migration is more difficult to estimate because there is no comprehensive registration system in the UK, so the figures are estimated using the sources of data described. The estimated population of an area includes all those usually resident there, whatever their nationality. Students are treatedas being resident at their term-time address. Members of UK and non-UK armed forces stationed in Scotland are included inthe estimated population. UK forces stationed outside Scotland are excluded. Short-term international migrants are excluded.Population estimates for Scotland are comparable with population estimates from the rest of the UK and most countries around the world.

This dataset is published as Open DataScottish Index of Multiple Deprivation, Small Area Population Estimates, and Child Poverty The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.National Records of Scotland Small Area Population Estimates (2021)Child Poverty by Datazone (2022/23)

This dataset contains the National Records of Scotland (NRS) birth time series data for the Stirling Council area.

For each year since 2010, this dataset shows the National Records of Scotland estimated life expectancy figures at birth for females and males within the Stirling Council area.

This dataset is published as Open Data, is the most recent, and replaces any previously published dataset.Scottish Government - Percentage of Children in Poverty by SIMD Data Zone.

open data - national records of scotland land population density mid 2022The latest release from the National Records of Scotland giving Scotland's Population Land Density Figures.

The National Records of Scotland publish Births by Sex annually and this dataset shows an extract for the Stirling Council area from the year 2000 onwards. Provisional data are published on a quarterly basis around 10 weeks after the end of the quarter. These annual figures represent the final figures for the calendar year and supersede the provisional weekly, monthly and quarterly figures already published. Information about (for example) the sources, methods, definitions and reliability of these statistics is available from the following NRS web site pages:general background information on Vital Events statistics andbackground information on points which are specific to statistics about deaths. These figures are directly comparable with those for other parts of the UK, there are no significant differences across the UK in how Vital Events data are collected and processed.More detailed commentary on the final Vital Events statistics for calendar years as a whole can be found in the relevant chapters of Scotland's Population - the Registrar General's Annual Review of Demographic Trends.

This dataset is published as Open Data. Scotland's Census 2022 - Output Area Geographies. This dataset can be used to join published tables of data to, creating either their geographies or additional table datasets.The boundaries are available at Extent of the Realm and clipped to the Mean High Water (MHW) Mark with inland water removed.Description: Output Areas created by aggregating frozen postcodes.Output Code: A code that identifies a Census 2022 Output Area (OA).Households: 2022 Census occupied household count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Population: 2022 Census household population count at OA level. Cell Key Perturbation has been applied to Scotland’s Census 2022 outputs. This means that small adjustments are made automatically to cells in tables, including the Postcode to Output Area lookup. This is part of our Statistical Disclosure Control methodology, you can read more on the Scotland’s Census website.Local Authority Code: A code that identifies a 2019 Council Area.Master Postcode: Postcode assigned as the Master Postcode for Output Area.

A Polling District is a geographical subdivision of an electoral area such as an electoral Ward within which a polling place is designated. The Representation of the People Act 1983 places a duty on LA to divide the local authority area into polling districts based on ward boundaries, and to designate a polling place for each district. LAs also have a duty to keep these polling arrangements under review. The Electoral Administration Act 2006 introduced amendments to the 1983 Act (which in turn has been superseded by The Electoral Administration Act 2013). Now local authorities must conduct a full review (with public consultation) of its polling districts and polling places every four years, however adjustments to the boundaries of polling districts and the designation of polling places within LA wards can be proposed at any time in response to changes in ward boundaries or to the availability of premises that can be reasonably designated as polling places. The Fifth Review of Electoral Arrangements concluded in May 2016 when the LGBCS made recommendations to Scottish Ministers for the number of Councillors and the electoral ward boundaries in each of Scotland's 32 local authorities. The review recommended changes in 30 LA areas of which all but 5 were accepted and came into force on 30th Sept 2016. As a result, ward boundaries (and therefore polling districts and possibly polling places) were changed after this date in time for the May 2017 elections. The following fields are now MANDATORY fields for this dataset. "district_code" - The polling district code linked to the polling place "UPRN" - The Unique Property Reference Number for the Corporate Address Gazeteer record of the polling place "polling_place" - The name and/or address of the polling place (based on the Corporate Address Gazeteer record)

This dataset is published as Open Data.2022 Census Settlement:The 2022 Census Settlement boundaries have been created using the Census 2022 frozen Postcode boundaries.National Records of Scotland (NRS) create Settlement boundaries by categorising Postcodes as either high or low density. A Postcode was defined as high density if at least one of the following applied:It had more than 2.1 households per hectare.It had more than 0.1 non-residential addresses per hectare; orThe Census population per hectare exceeds five people.The threshold densities were set as they were found to give a good approximation to the built-up areas identified in previous Censuses using traditional methods. The second condition was included such that non-residential parts (e.g. industrial estates) of built-up areas could be identified and included.An additional rule was implemented from the 2016 (non-Census) version, which stated that any Postcodes which fell within the previous version Settlement boundary(based on centroid point in polygon assignment) would automatically be included in the new Settlement.The classified Postcodes were then grouped into areas of neighbouring high-density Postcodes, or ‘Settlements’. Areas of low-density Postcodes completely surrounded by the high-density areas (i.e. ‘holes’) were incorporated into the Settlement.Populations for each area were then calculated, and any settlement with fewer than 500 residents was discarded.2022 Census Settlement and Locality CentroidsEach population weighted centroid was calculated using a median centroid algorithm, the result of which is less influenced by outliers than the result of an algorithm to calculate the mean centroid. The process for creating Census 2022 Settlements centroids was automated usingESRI ArcGIS, but the general method is as follows. The median easting and northing coordinate pair for all Census 2022 frozenPostcodes within the Settlement is calculated, giving a notional centroid of the Settlement. The distance from each of the Postcode centroids to the notional (or median) centroid is calculated using Pythagoras' Theorem. The Postcode coordinate pair with the shortest distance to the median was then chosen to represent the centroid of the Settlement/Locality.

This dataset has been clipped to Stirling Council's Planning Policy BoundaryThe Scottish Government (SG) Urban Rural Classification provides a consistent way of defining urban and rural areas across Scotland. The classification aids policy development and the understanding of issues facing urban, rural and remote communities. It is based upon two main criteria: (i) population as defined by National Records of Scotland (NRS), and (ii) accessibility based on drive time analysis to differentiate between accessible and remote areas in Scotland. The classification can be analysed in a two, three, six or eight fold form. The two-fold classification simply distinguishes between urban and rural areas through two categories, urban and rural, while the three-fold classification splits the rural category between accessible and remote. Most commonly used is the 6-fold classification which distinguishes between urban, rural, and remote areas through six categories. The 8-fold classification further distinguishes between remote and very remote regions. The Classification is normally updated on a biennial basis, with the current dataset reflective of the year 2022.

This dataset is published as Open DataThe Scottish Government (SG) Urban Rural Classification provides a consistent way of defining urban and rural areas across Scotland. The classification aids policy development and the understanding of issues facing urban, rural and remote communities. It is based upon two main criteria: (i) population as defined by National Records of Scotland (NRS), and (ii) accessibility based on drive time analysis to differentiate between accessible and remote areas in Scotland. The classification can be analysed in a two, three, six or eight fold form. The two-fold classification simply distinguishes between urban and rural areas through two categories, urban and rural, while the three-fold classification splits the rural category between accessible and remote. Most commonly used is the 6-fold classification which distinguishes between urban, rural, and remote areas through six categories. The 8-fold classification further distinguishes between remote and very remote regions. The Classification is normally updated on a biennial basis, with the current dataset reflective of the year 2020. Data for previous versions are available for download in ESRI Shapefile format.

Land is legally defined as 'contaminated' where substances are causing or could cause significant harm to people, property or protected species as well as causing significant pollution to surface waters (for example lakes and rivers) or groundwater. Land can become contaminated by a variety of substances, from heavy metals to agricultural waste. The environmental, financial and legal implications of this can be substantial. The management and remediation of contaminated land that, in its current state, is causing or has the potential to cause significant harm or significant pollution of the water environment, is regulated by legislation and underpinned by the core principles of the 'polluter pays' and a 'suitable for use approach'. Local authorities are the primary regulator for the contaminated land regime (SEPA also has certain responsibilities within the scope of the legislation) to regulate activities and assist in the management and remediation of contaminated land. The current regulation regarding Contaminated Land is contained within the Environmental Protection Act (1990) known as Part IIA. Part IIA is further established in Scotland by the Contaminated Land (Scotland) Regulations 2000 (SSI 2000/178), as amended and the Scottish Government's Statutory Guidance: Edition 2 provides the detailed framework for the definition, identification and remediation of contaminated land. THIS SPATIAL DATASET IS ONLY CONFIRMED CONTAMINATED LAND AND DOES NOT INCLUDE POTENTIALLY CONTAMINATED LAND Site name, date designated, website URL (for further information), status (confirmed or remediated) and remediation dates (where applicable) are all now mandatory attributes for this dataset.

This app is published as Open Data, is the most recent, and replaces any previously published dataset.Scottish Index of Multiple Deprivation (2020), Small Area Population Estimates (2021), and Child Poverty (2022/23)The Scottish Index of Multiple Deprivation 2020 is the Scottish Government’s official tool for identifying those places in Scotland suffering from deprivation. It incorporates several different aspects of deprivation (employment, income, health, education, skills and training, geographic access, crime and housing), combining them into a single index.The 2020 Index provides a relative ranking for small areas in Scotland, defined by the Scottish Neighbourhood Statistics (SNS) Data Zone 2011 geography, from 1 (most deprived) to 6,976 (least deprived). By identifying small areas where there are concentrations of multiple deprivation, the SIMD can be used to target policies and resources at the places with greatest need. The SIMD also provides a rank for each data zone within each of the seven domains, and therefore it is possible to look at individual aspects of deprivation for each area, as well as the overall level of deprivation.Child Poverty by Datazone (2022/23)This app uses the following published resources:mapdataset

This dataset is published as Open Data and is a like-for-like extract from the Scottish Government's publication, filtered to the 121 datazones within the Stirling Council area, with the addition of SAPE 2021 figures. We have published other SIMD datasets, maps, and applications also available as Open Data.The Scottish Index of Multiple Deprivation is a relative measure of deprivation across 6,976 small areas (called data zones). If an area is identified as ‘deprived’, this can relate to people having a low income but it can also mean fewer resources or opportunities. SIMD looks at the extent to which an area is deprived across seven domains: income, employment, education, health, access to services, crime and housing.SIMD is the Scottish Government's standard approach to identify areas of multiple deprivation in Scotland. It can help improve understanding about the outcomes and circumstances of people living in the most deprived areas in Scotland. It can also allow effective targeting of policies and funding where the aim is to wholly or partly tackle or take account of area concentrations of multiple deprivation.SIMD ranks data zones from most deprived (ranked 1) to least deprived (ranked 6,976). People using SIMD will often focus on the data zones below a certain rank, for example, the 5%, 10%, 15% or 20% most deprived data zones in Scotland.SIMD is an area-based measure of relative deprivation: not every person in a highly deprived area will themselves be experiencing high levels of deprivation.Data zones in rural areas tend to cover a large land area and reflect a more mixed picture of people experiencing different levels of deprivation. This means that SIMD is less helpful at identifying the smaller pockets of deprivation found in more rural areas, compared to the larger pockets found in urban areas. SIMD domain indicators can still be useful in rural areas if analysed separately from urban data zones or combined with other data.Please note that the Scottish Index of Multiple Deprivation 2020 has been revised as a result of a problem identified with the income domain ranks provided by the Department for Work and Pensions. This revision only affects the income domain ranks and overall SIMD ranks (referred to as SIMD 2020v2). The impact is minimal for the majority of data zones, and the remainder of the SIMD 2020 is not affected. SIMD 2020v2 ranks should now be used when carrying out any analyses.https://www.gov.scot/collections/scottish-index-of-multiple-deprivation-2020/

Intermediate zones are a statistical geography that sit between data zones and local authorities, created for use with the Scottish Neighbourhood Statistics (SNS) programme and the wider public sector. Intermediate zones are used for the dissemination of statistics that are not suitable for release at the data zone level because of the sensitive nature of the statistic, or for reasons of reliability. Intermediate Zones were designed to meet constraints on population thresholds (2,500 - 6,000 household residents), to nest within local authorities (at the time of the Census), and to be built up from aggregates of data zones. Intermediate zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to intermediate zones using 2011 Census data, there are now 1,279 Intermediate Zones covering the whole of Scotland.

Context

This dataset is a modified version of the "Arabic Corpus of Isolated Words" made by the Department of Computing Science and Engineering at the University of Stirling, Scotland. The original version of this dataset was divided into just words which weren't suitable for my experiments. So, I decided to merge this dataset and make it available for anyone that might find it useful knowing that the original corpus is free for non-commercial purposes.

Content

This dataset is a voice-recorded dataset of 50 Native-Arabic speakers saying 20 words about 10 times. It has been recorded with a 44100 Hz sampling rate and 16-bit resolution. This dataset can be used for tasks like Speaker Recognition, Speaker Verification, Voice biometrics, ... etc.

This dataset (1GB) is divided into:

• 50 Speakers (starting from S01 ending at S50).
• 47 of these speakers are Male and just 3 are females and they are: S11, S36, and S44.
• Each speaker is in a separate directory named after the speaker id.
• Each speaker recorded 2 waves, about 10 times (sessions). So, each speaker should contain 20 wave files.
• These two waves are names as {speaker_id}.{session_id}.digits.wav which contain the recordings of the Arabic digits from zero to 9. And {speaker_id}.{session_id}.words.wav which contain the recordings of some random Arabic words.

Acknowledgements

Of course, I wouldn't provide this corpus without the original corpus and the University of Stirling.

Inspiration

Your data will be in front of the world's largest data science community.

The Scottish Government published updated versions of Data Zones and Intermediate Zones (December 2024).Data Zones and Intermediate Zones have been updated to reflect changes to population and other geographical boundaries since they were last revised in 2014 following the 2011 Census. In particular, the proposed changes have been produced to align with new population data from the 2022 Census.Data Zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public sector. Composed of groups of Census Output Areas, Data Zones are large enough that statistics can be presented accurately without fear of disclosure and yet small enough that they can be used to represent communities. They are designed to have roughly standard populations of 500 to 1,000 household residents, nest within local authorities (at the time of the Census), and have compact shapes that respect physical boundaries where possible. When Data Zones were originally created for the 2001 Census, they were designed to contain households with similar social characteristics. Aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available. Data Zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to Data Zones using 2022 Census data, there are now 7,392 Data Zones covering the whole of Scotland.What are Data Zones and Intermediate Zones?Data Zones are statistical geographies used to produce small area statistics at a local level. They are designed to have a population of between 500 and 1,000 people, making them small enough to describe communities while also being large enough to avoid disclosing personal information.They serve two main functions in the production of official statistics. Firstly, they provide a standard, stable geography for the production and publication of statistics at a local area on a wide range of topics. Secondly, aggregations of Data Zones can be used to provide estimates for higher level geographies where official statistics might not otherwise be available.Intermediate Zones are similar to Data Zones but cover a larger population and area. They are used to produce local area statistics where statistics cannot be published at Data Zone level due to the risk of disclosing sensitive information.How Data Zones and Intermediate Zones will be usedThe revised Data Zones boundaries have been published on the Scottish Government’s spatial data platform and are now available for use by statistics producers.Data Zone BoundariesData Zone CentroidsIntermediate Zone BoundariesIntermediate Zone CentroidsA csv geography lookup table aggregating from 2022 Data Zones to higher level geographies is available on statistics.gov.scot.Census data for the new Data Zones and Intermediate Zones will be published in 2025. A lookup file that links Census Output Areas to Data Zones and Intermediate Zones has been published by National Records of Scotland.If you have any questions about Data Zones and Intermediate Zones please contact statistics.enquiries@gov.scot.Statistics Updates to Data Zones and Intermediate Zones now published - Statistics