20 datasets found
  1. Office-31 (Office Dataset)

    • opendatalab.com
    zip
    Updated Mar 24, 2023
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    International Computer Science Institute (2023). Office-31 (Office Dataset) [Dataset]. https://opendatalab.com/OpenDataLab/Office-31
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    zip(494614374 bytes)Available download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    國際電腦科學研究所https://www.icsi.berkeley.edu/icsi/
    University of California, Berkeley
    Description

    The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset consist of objects commonly encountered in office settings, such as keyboards, file cabinets, and laptops. The Amazon domain contains on average 90 images per class and 2817 images in total. As these images were captured from a website of online merchants, they are captured against clean background and at a unified scale. The DSLR domain contains 498 low-noise high resolution images (4288×2848). There are 5 objects per category. Each object was captured from different viewpoints on average 3 times. For Webcam, the 795 images of low resolution (640×480) exhibit significant noise and color as well as white balance artifacts.

  2. Cabinet Office staff and salary data as at 31 March 2013

    • gov.uk
    Updated Jun 14, 2013
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    Cabinet Office (2013). Cabinet Office staff and salary data as at 31 March 2013 [Dataset]. https://www.gov.uk/government/publications/cabinet-office-staff-and-salary-data-as-at-31-march-2013
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    Dataset updated
    Jun 14, 2013
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Cabinet Office
    Description

    You can find out about our overall structure and who works here in the Cabinet Office structure charts. These charts include the Prime Minister’s Office (Number 10) and the Deputy Prime Minister’s Office, both of which are part of the Cabinet Office.

    For each of our groups there is a chart showing the names, job titles and grades of its senior civil servants, as well as the number of staff who report to them.

    Explanatory note

    Staff numbers are expressed as full-time equivalents (i.e. 0.5FTE = 2.5 days per week)

    The following groups of staff are included:

    • all staff loaned or seconded in to the Cabinet Office (regardless of funding arrangement)
    • all staff on paid maternity or paternity leave

    The following staff are excluded:

    • all staff in the Joint Intelligence Organisation & the National Security Secretariat
    • all contractors, consultants and fee-paid staff
    • ministers & Civil Service Commissioners
    • all Senior Civil Servants
    • staff on unpaid maternity leave & career break
    • staff on loan or secondment out of the Cabinet Office (regardless of funding arrangement)

    View organisation charts at http://data.gov.uk/" class="govuk-link">data.gov.uk.

    View previous data sets here.

  3. m

    Piedmont Office Realty Trust Inc - Altman-Zscore

    • macro-rankings.com
    csv, excel
    Updated Sep 11, 2025
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    macro-rankings (2025). Piedmont Office Realty Trust Inc - Altman-Zscore [Dataset]. https://www.macro-rankings.com/markets/stocks/pdm-nyse/key-financial-ratios/Solvency/altman-zscore
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    csv, excelAvailable download formats
    Dataset updated
    Sep 11, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Altman-Zscore Time Series for Piedmont Office Realty Trust Inc. Piedmont Office Realty Trust, Inc. (NYSE: PDM) is an owner, manager, developer, redeveloper, and operator of high-quality, Class A office properties located primarily in the Sunbelt. Its approximately $5 billion, predominantly unencumbered portfolio is currently comprised of approximately 16 million square feet. The Company is a fully integrated, self-managed real estate investment trust (REIT) with local management offices in each of its markets and is investment-grade rated by Moody's (Baa3) and Fitch (BBB-). Piedmont is a 2024 ENERGY STAR Partner of the Year - Sustained Excellence.

  4. Public-sector trade union facility time data

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 19, 2025
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    Cabinet Office (2025). Public-sector trade union facility time data [Dataset]. https://www.gov.uk/government/statistical-data-sets/public-sector-trade-union-facility-time-data
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    Dataset updated
    Aug 19, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Cabinet Office
    Description

    Publication of trade union facility time data usage submitted by organisations as required under the Trade Union (Facility Time Publication Requirements) Regulations 2017.

    Details

    Facility time is paid time-off during working hours for trade union representatives to carry out trade union duties.

    All public-sector organisations that employ more than 49 full-time employees are required to submit data relating to the use of facility time in their organisation. The reporting period is 1 April to 31 March with submissions due by 31 July.

    Data

    1 April 2023 to 31 March 2024

    1 April 2022 to 31 March 2023

    1 April 2021 to 31 March 2022

    1 April 2020 to 31 March 2021

    1 April 2019 to 31 March 2020

  5. f

    Accuracies (%) on Office-31 for different number of noisy instances used for...

    • plos.figshare.com
    xls
    Updated May 13, 2025
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    Huiwen Xu; Jaeri Lee; U Kang (2025). Accuracies (%) on Office-31 for different number of noisy instances used for negative learning. The best is in bold. The percentage in the first column indicates the proportion of noisy data used for training relative to the entire noisy data. Note that TEN outperforms competitors in almost all the cases. Also note that the performance gap of TEN and competitors increases as more noisy data are used for training. [Dataset]. http://doi.org/10.1371/journal.pone.0321987.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Huiwen Xu; Jaeri Lee; U Kang
    License

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

    Description

    Accuracies (%) on Office-31 for different number of noisy instances used for negative learning. The best is in bold. The percentage in the first column indicates the proportion of noisy data used for training relative to the entire noisy data. Note that TEN outperforms competitors in almost all the cases. Also note that the performance gap of TEN and competitors increases as more noisy data are used for training.

  6. Alcohol and late night refreshment licensing England and Wales 31 March...

    • gov.uk
    Updated Dec 11, 2014
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    Home Office (2014). Alcohol and late night refreshment licensing England and Wales 31 March 2014: data tables [Dataset]. https://www.gov.uk/government/statistics/alcohol-and-late-night-refreshment-licensing-england-and-wales-31-march-2014-data-tables
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    Dataset updated
    Dec 11, 2014
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Area covered
    Wales
    Description

    Data tables to complement ‘Alcohol and late night refreshment licensing England and Wales 31 March 2014’.

    To view and use ‘ODS’ files, OS X users can https://www.openoffice.org/download/index.html" class="govuk-link">download OpenOffice.

  7. m

    Piedmont Office Realty Trust Inc - Price-To-Sales-Ratio

    • macro-rankings.com
    csv, excel
    Updated Sep 13, 2025
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    macro-rankings (2025). Piedmont Office Realty Trust Inc - Price-To-Sales-Ratio [Dataset]. https://www.macro-rankings.com/markets/stocks/pdm-nyse/key-financial-ratios/valuation/price-to-sales-ratio
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 13, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Price-To-Sales-Ratio Time Series for Piedmont Office Realty Trust Inc. Piedmont Office Realty Trust, Inc. (NYSE: PDM) is an owner, manager, developer, redeveloper, and operator of high-quality, Class A office properties located primarily in the Sunbelt. Its approximately $5 billion, predominantly unencumbered portfolio is currently comprised of approximately 16 million square feet. The Company is a fully integrated, self-managed real estate investment trust (REIT) with local management offices in each of its markets and is investment-grade rated by Moody's (Baa3) and Fitch (BBB-). Piedmont is a 2024 ENERGY STAR Partner of the Year - Sustained Excellence.

  8. w

    Police workforce, England and Wales: 31 March 2025

    • gov.uk
    Updated Jul 23, 2025
    + more versions
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    Home Office (2025). Police workforce, England and Wales: 31 March 2025 [Dataset]. https://www.gov.uk/government/statistics/police-workforce-england-and-wales-31-march-2025
    Explore at:
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    GOV.UK
    Authors
    Home Office
    Description

    These statistics cover police officers, police staff, designated officers, police community support officers, special constables and police support volunteers in the 43 police forces in England and Wales and the British Transport Police.

    See the ‘Police workforce open data tables’ for historical data.

    See the ‘User guide to police workforce statistics’ for further information, including a glossary, conventions used and other background information.

    If you have any queries about this release, please email policingstatistics@homeoffice.gov.uk or write to:

    Police Analysis Unit
    2nd floor Peel Building
    2 Marsham Street
    London
    SW1P 4DF

    The Home Office responsible statistician is Jodie Hargreaves.

  9. f

    Accuracies (%) on Office-31 for black-box model adaptation. The best is in...

    • plos.figshare.com
    xls
    Updated May 13, 2025
    + more versions
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    Huiwen Xu; Jaeri Lee; U Kang (2025). Accuracies (%) on Office-31 for black-box model adaptation. The best is in bold. TEN outperforms baselines with up to 7.59% higher accuracy. [Dataset]. http://doi.org/10.1371/journal.pone.0321987.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Huiwen Xu; Jaeri Lee; U Kang
    License

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

    Description

    Accuracies (%) on Office-31 for black-box model adaptation. The best is in bold. TEN outperforms baselines with up to 7.59% higher accuracy.

  10. d

    Assessor - Parcel Sales

    • catalog.data.gov
    • datacatalog.cookcountyil.gov
    • +1more
    Updated Sep 7, 2025
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    datacatalog.cookcountyil.gov (2025). Assessor - Parcel Sales [Dataset]. https://catalog.data.gov/dataset/assessor-parcel-sales
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    Dataset updated
    Sep 7, 2025
    Dataset provided by
    datacatalog.cookcountyil.gov
    Description

    Update 10/31/2023: Sales are no longer filtered out of this data set based on deed type, sale price, or recency of sale for a given PIN with the same price. If users wish to recreate the former filtering schema they should set sale_filter_same_sale_within_365, sale_filter_less_than_10k, and sale_filter_deed_type to False. Parcel sales for real property in Cook County, from 1999 to present. The Assessor's Office uses this data in its modeling to estimate the fair market value of unsold properties. When working with Parcel Index Numbers (PINs) make sure to zero-pad them to 14 digits. Some datasets may lose leading zeros for PINs when downloaded. Sale document numbers correspond to those of the Cook County Clerk, and can be used on the Clerk's website to find more information about each sale. NOTE: These sales are filtered, but likely include non-arms-length transactions - sales less than $10,000 along with quit claims, executor deeds, beneficial interests are excluded. While the Data Department will upload what it has access to monthly, sales are reported on a lag, with many records not populating until months after their official recording date. Current property class codes, their levels of assessment, and descriptions can be found on the Assessor's website. Note that class codes details can change across time. For more information on the sourcing of attached data and the preparation of this dataset, see the Assessor's Standard Operating Procedures for Open Data on GitHub. Read about the Assessor's 2025 Open Data Refresh.

  11. m

    Piedmont Office Realty Trust Inc - Defensive-Intrval-Ratio

    • macro-rankings.com
    csv, excel
    Updated Sep 20, 2025
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    macro-rankings (2025). Piedmont Office Realty Trust Inc - Defensive-Intrval-Ratio [Dataset]. https://www.macro-rankings.com/markets/stocks/pdm-nyse/key-financial-ratios/liquidity/defensive-intrval-ratio
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 20, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Defensive-Intrval-Ratio Time Series for Piedmont Office Realty Trust Inc. Piedmont Office Realty Trust, Inc. (NYSE: PDM) is an owner, manager, developer, redeveloper, and operator of high-quality, Class A office properties located primarily in the Sunbelt. Its approximately $5 billion, predominantly unencumbered portfolio is currently comprised of approximately 16 million square feet. The Company is a fully integrated, self-managed real estate investment trust (REIT) with local management offices in each of its markets and is investment-grade rated by Moody's (Baa3) and Fitch (BBB-). Piedmont is a 2024 ENERGY STAR Partner of the Year - Sustained Excellence.

  12. Cabinet Office staff and salary data as at 31 March 2016

    • gov.uk
    Updated Jun 16, 2016
    + more versions
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    Cabinet Office (2016). Cabinet Office staff and salary data as at 31 March 2016 [Dataset]. https://www.gov.uk/government/publications/cabinet-office-staff-and-salary-data-as-at-31-march-2016
    Explore at:
    Dataset updated
    Jun 16, 2016
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Cabinet Office
    Description

    Staff numbers are expressed as full-time equivalents (ie 0.5 FTE = 2.5 days per week).

    Groups of staff included are:

    • all staff loaned or seconded in to the Cabinet Office (regardless of funding arrangement)
    • all staff on paid maternity or paternity leave

    Groups of staff excluded are:

    • all staff in the Joint Intelligence Organisation and the National Security Secretariat
    • all contractors, consultants and fee-paid staff
    • ministers
    • staff on unpaid maternity leave and career break
    • staff on loan or secondment out of the Cabinet Office (regardless of funding arrangement)
  13. Police powers and procedures England and Wales year ending 31 March 2015

    • gov.uk
    Updated Nov 19, 2015
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    Home Office (2015). Police powers and procedures England and Wales year ending 31 March 2015 [Dataset]. https://www.gov.uk/government/statistics/police-powers-and-procedures-england-and-wales-year-ending-31-march-2015
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    Dataset updated
    Nov 19, 2015
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Area covered
    Wales, England
    Description
  14. Home Office workforce diversity statistics: 2021 to 2022

    • gov.uk
    Updated Mar 23, 2023
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    Home Office (2023). Home Office workforce diversity statistics: 2021 to 2022 [Dataset]. https://www.gov.uk/government/statistics/home-office-workforce-diversity-statistics-2021-to-2022
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    Dataset updated
    Mar 23, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    This is not the latest release. (View latest release).

    This release presents experimental statistics on the diversity of the Home Office workforce. The statistics in this release are based on data from the Home Office’s Adelphi HR system for the period 1 April 2021 to 31 March 2022. This publication forms part of the Home Office’s response to Recommendation 28 of the Windrush Lessons Learned Review. The data we are publishing goes beyond the recommendation and covers broader identity categories, where possible examining representation by grade, and by different areas within the Home Office.

    If you have queries about this release, please email DIVERSITYTEAM-INBOX@homeoffice.gov.uk.

    Home Office statisticians are committed to regularly reviewing the usefulness, clarity and accessibility of the statistics that we publish under the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics.

    We are therefore seeking your feedback as we look to improve the presentation and dissemination of our statistics and data in order to support all types of users.

  15. Police workforce open data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 9, 2025
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    Home Office (2025). Police workforce open data tables [Dataset]. https://www.gov.uk/government/statistics/police-workforce-open-data-tables
    Explore at:
    Dataset updated
    Oct 9, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    Data tables to complement ‘Police workforce, England and Wales: 31 March 2025’.

    To view and use ‘ODS’ files, OS X users can http://www.openoffice.org/download/">download OpenOffice.

    If you are experiencing difficulties opening these data tables please contact us at policingstatistics@homeoffice.gov.uk.

  16. Data from: Police Service Strength England and Wales, 31 March 2010

    • gov.uk
    Updated Jul 22, 2010
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    Home Office (2010). Police Service Strength England and Wales, 31 March 2010 [Dataset]. https://www.gov.uk/government/statistics/police-service-strength-england-and-wales-31-march-2010
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    Dataset updated
    Jul 22, 2010
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Area covered
    Wales
    Description

    Home Office Statistical Bulletin 14/10 contains the police service strength statistics for the 43 police forces of England and Wales and for British Transport Police, as at 31 March 2010.

    There were 244,497 full-time equivalent (FTE) staff working in the 43 police forces of England and Wales. Police officers accounted for 58.8 per cent of this total, police community support officers 6.9 per cent, traffic wardens 0.2 per cent, designated officers 1.6 per cent and other police staff 32.6 per cent.

  17. HMRC and Valuation Office Agency: gender pay gap report and data 2018

    • gov.uk
    Updated Dec 19, 2018
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    HM Revenue & Customs (2018). HMRC and Valuation Office Agency: gender pay gap report and data 2018 [Dataset]. https://www.gov.uk/government/publications/hmrc-and-valuation-office-agency-gender-pay-gap-report-and-data-2018
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    Dataset updated
    Dec 19, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    Gender Pay Gap legislation introduced in April 2017 requires all employers of 250 or more employees to publish their gender pay gap as of 31 March 2018. The gender pay gap is the difference between the average earnings of men and women, expressed relative to men’s earnings.

    You can also:

    We have published 2 reports:

    • HM Revenue and Customs (HMRC) and Valuation Office Agency (VOA) combined gender pay gap report
    • HMRC standalone gender pay gap report

    These reports analyse HMRC’s and the VOA’s gender pay gap for grades covered by the delegated pay arrangements, as of 31 March 2018.

    They are published in line with the Equality Act 2010 (Gender Pay Gap Information) Regulations 2017.

    HMRC and VOA combined gender pay gap report

    This is produced annually in line with the reporting requirements of the 2017 regulations. The report contains data on the mean and median gender pay gap and the pay gaps for any bonuses paid out during the year. The legislation stipulates that VOA has to be included in a combined report with HMRC as VOA is an agency of HMRC.

    HMRC standalone gender pay gap report

    This is produced annually in line with the reporting requirements of the 2017 Regulations. The report contains data on the mean and median gender pay gap and the pay gaps for any bonuses paid out during the year. By producing a standalone report, HMRC has, additionally, been able to conduct a greater examination of our gender pay gaps by grade and London/national pay.

    The VOA has https://gov.uk/government/publications/voa-gender-pay-gap-report-and-data-2018" class="govuk-link">published its own standalone gender pay gap report.

  18. Child development outcomes at 2 to 2 and a half years: annual data 2021 to...

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 12, 2025
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    Office for Health Improvement and Disparities (2025). Child development outcomes at 2 to 2 and a half years: annual data 2021 to 2022 [Dataset]. https://www.gov.uk/government/statistics/child-development-outcomes-at-2-to-2-and-a-half-years-annual-data-2021-to-2022
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for Health Improvement and Disparities
    Description

    Annual experimental statistics on child development at 2 to 2 and a half years. Information is presented at local authority of residence, regional and England level.

    The latest annual data covers the period 1 April 2021 to 31 March 2022. Data from previous years was published by OHID and Public Health England.

    The metrics presented are ‘the percentage of children who were at or above the expected level’ in these areas of development:

    • communication skills
    • gross motor skills
    • fine motor skills
    • problem solving skills
    • personal-social skills
    • all 5 areas of development

    The data was collected through an interim reporting system set up to collect health visiting activity data at a local authority resident level. It is collected from the health visitor reviews completed at 2 to 2 and a half years using the Ages and Stages Questionnaire 3 (ASQ-3). Data was submitted by local authorities on a voluntary basis.

    Local authority commissioners and health professionals can use these resources to track the extent to which children aged 2 to 2 and a half years in their local area are achieving the expected levels of development.

    Correction notices

    Hampshire County Council has identified an error where their health visiting service provider has been reporting some children as not reaching the expected level of development for personal-social skills, when they have reached the expected level. This was due to an error in the cut-off score being used. It affects data from 1 April 2017 to 31 March 2024. The data has therefore been removed from the relevant https://fingertips.phe.org.uk/profile/child-health-profiles/data#page/4/gid/1938133223/pat/159/par/K02000001/ati/15/are/E92000001/iid/93435/age/241/sex/4/cat/-1/ctp/-1/yrr/1/cid/4/tbm/1" class="govuk-link">indicator on personal-social skills at 2 to 2 and a half years in Fingertips. No changes have been made to the data tables or commentary on this GOV.UK page. No other changes have been made to Fingertips.

    Since publication in November 2022, Havering and Stoke on Trent have identified discrepancies in the child development data they submitted for 2021 to 2022. These discrepancies have caused statistically significant changes in the England, London and West Midlands figures for child development outcomes for 2021 to 2022. A separate issue has been identified for the South East and East of England figures. OHID has https://fingertips.phe.org.uk/profile/child-health-profiles/data#page/4/gid/1938133402/pat/159/par/K02000001/ati/15/are/E92000001/iid/93436/age/241/sex/4/cat/-1/ctp/-1/yrr/1/cid/4/tbm/1" class="govuk-link">updated and reissued the data in OHID’s Fingertips tool.

  19. Council Tax: property attributes (England and Wales)

    • gov.uk
    Updated Jun 26, 2014
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    Valuation Office Agency (2014). Council Tax: property attributes (England and Wales) [Dataset]. https://www.gov.uk/government/statistics/council-tax-property-attributes
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    Dataset updated
    Jun 26, 2014
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Valuation Office Agency
    Area covered
    Wales
    Description

    The first set of tables show, for each domestic property type in each geographic area, the number of properties assigned to each council tax band.

    The second set of tables provides a breakdown of domestic properties to a lower geographic level – Lower layer Super Output Area or ‘LSOA’, categorised by property type.

    The third set of tables shows, for each property build period in each geographic area, the number of properties assigned to each council tax band.

    The fourth set of tables provides a breakdown of domestic properties to a lower geographic level – Lower layer Super Output Area or ’LSOA‘, categorised by the property build period.

    The counts are calculated from domestic property data for England and Wales extracted from the Valuation Office Agency’s administrative database on 31 March 2014. Data on property types and number of bedrooms have been used to form property categories by which to view the data. Data on build period has been used to create property build period categories.

    Counts in the tables are rounded to the nearest 10 with those below 5 recorded as negligible and appearing as ‘–‘

    If you have any questions or comments about this release please contact:

    The VOA statistics team

    Email mailto:statistics@voa.gov.uk">statistics@voa.gov.uk

    Archived versions of this release

    http://webarchive.nationalarchives.gov.uk/20140712003745/http://www.voa.gov.uk/corporate/statisticalReleases/120927-CouncilTAxPropertyAttributes.html" class="govuk-link">Council Tax property attributes - 27 September 2012
    http://webarchive.nationalarchives.gov.uk/20140712003745/http://www.voa.gov.uk/corporate/statisticalReleases/110901-CouncilTAxPropertyAttributes.html" class="govuk-link">Council Tax property attributes - 1 September 2011
    http://webarchive.nationalarchives.gov.uk/20140712003745/http://www.voa.gov.uk/corporate/statisticalReleases/DomesticPropertyAttributesIndex.html" class="govuk-link">Domestic property attributes 14 April 2011
    http://webarchive.nationalarchives.gov.uk/20110320170052/http://www.voa.gov.uk/publications/statistical_releases/CT-property-attributes-september-2010/CT-property-attribute-data-Sept-2010.html" class="govuk-link">Council Tax property attribute data 23 September 2010

  20. Police use of force statistics, April 2022 to March 2023

    • gov.uk
    Updated Nov 30, 2023
    + more versions
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    Home Office (2023). Police use of force statistics, April 2022 to March 2023 [Dataset]. https://www.gov.uk/government/statistics/police-use-of-force-statistics-april-2022-to-march-2023
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    Dataset updated
    Nov 30, 2023
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    The statistics on police use of force within this release cover incidents in England and Wales between 1 April 2022 and 31 March 2023. Data was collected from the 43 Home Office funded police forces in England and Wales.

    The police use of force statistics, year ending 31 March 2023, are classified as official statistics. This is the sixth year of their publication and the third year the statistics have been published following a 3-year ‘official statistics in development’ phase.

    More information is available in the User guide to Police use of force statistics, England and Wales.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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International Computer Science Institute (2023). Office-31 (Office Dataset) [Dataset]. https://opendatalab.com/OpenDataLab/Office-31
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Office-31 (Office Dataset)

OpenDataLab/Office-31

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zip(494614374 bytes)Available download formats
Dataset updated
Mar 24, 2023
Dataset provided by
國際電腦科學研究所https://www.icsi.berkeley.edu/icsi/
University of California, Berkeley
Description

The Office dataset contains 31 object categories in three domains: Amazon, DSLR and Webcam. The 31 categories in the dataset consist of objects commonly encountered in office settings, such as keyboards, file cabinets, and laptops. The Amazon domain contains on average 90 images per class and 2817 images in total. As these images were captured from a website of online merchants, they are captured against clean background and at a unified scale. The DSLR domain contains 498 low-noise high resolution images (4288×2848). There are 5 objects per category. Each object was captured from different viewpoints on average 3 times. For Webcam, the 795 images of low resolution (640×480) exhibit significant noise and color as well as white balance artifacts.

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