70 datasets found
  1. f

    Demographic characteristics and anthropometric data of all participants.

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Gourav Banerjee; Michelle Briggs; Mark I. Johnson (2023). Demographic characteristics and anthropometric data of all participants. [Dataset]. http://doi.org/10.1371/journal.pone.0226109.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Gourav Banerjee; Michelle Briggs; Mark I. Johnson
    License

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

    Description

    Demographic characteristics and anthropometric data of all participants.

  2. Plastic Packaging Tax (PPT) Statistics

    • gov.uk
    Updated Aug 15, 2024
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    HM Revenue & Customs (2024). Plastic Packaging Tax (PPT) Statistics [Dataset]. https://www.gov.uk/government/statistics/plastic-packaging-tax-ppt-statistics
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    Dataset updated
    Aug 15, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    This publication presents an overview of Plastic Packaging Tax (PPT) statistics, including registered population, tonnages of declared plastic packaging and receipts data.

    Further details for this statistical release, including data suitability and coverage, are included within the Quality report: Plastic Packaging Tax (PPT).

    https://webarchive.nationalarchives.gov.uk/ukgwa/20240730222709/https://www.gov.uk/government/statistics/plastic-packaging-tax-ppt-statistics" class="govuk-link">Archive versions of the Plastic Packaging Tax statistics published on GOV.UK are available via the UK Government Web Archive, from the National Archives.

  3. Evaluation of Presumptive Periodic Treatment (PPT) of Sexually Transmitted...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Jun 25, 2024
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    data.usaid.gov (2024). Evaluation of Presumptive Periodic Treatment (PPT) of Sexually Transmitted Infections (STIs) Among High-Risk Populations Including Men Who Have Sex with Men, Female Sex Workers (FSW) and Mining Populations in Tanzania [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/evaluation-of-presumptive-periodic-treatment-ppt-of-sexually-transmitted-infections-stis-a
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    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttp://usaid.gov/
    Description

    The aim of this study is to evaluate an approach to reduce STIs among high-risk groups including men who have sex with men, female sex workers and mining populations in Dar es Salaam and Shinyanga regions of Tanzania. Primary research questions: 1) Is there a reduction in prevalence of laboratory confirmed STIs (a combined measure of gonorrhea, chlamydia and Treponema pallidum) in men who have sex with men (MSM) in Dar es Salaam and female sex workers (FSW) in Shinyanga after six months of presumptive treatment of STIs (PPT) availability? 2) Is there a reduction in prevalence of symptomatic STIs in male mine workers in Shinyanga after six months of PPT availability for FSW? Secondary research questions: 3) What associations are observed between demographics, socio-economic status, biological risk factors, and STI prevalence? 4) Are there changes in sexual risk taking behaviors while receiving PPT? 5) What is the prevalence of cervical cancer lesions, as assessed through Visual Inspection with Acetic Acid (VIA), in FSW?

  4. A

    AI PPT Generation Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 28, 2025
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    Data Insights Market (2025). AI PPT Generation Software Report [Dataset]. https://www.datainsightsmarket.com/reports/ai-ppt-generation-software-1991394
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The AI-powered presentation generation software market is experiencing rapid growth, driven by increasing demand for efficient and visually appealing presentations across various sectors. The market, currently valued at approximately $500 million in 2025 (a reasonable estimate based on the typical size of emerging software markets with similar technological advancements), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 30% from 2025 to 2033. This robust growth is fueled by several key factors. Firstly, businesses are constantly seeking ways to improve productivity and reduce the time spent on creating presentations. AI tools offer significant time savings by automating many aspects of the presentation design process, from generating outlines and content to creating visually engaging slides. Secondly, the increasing sophistication of AI algorithms allows for the creation of highly customized and personalized presentations tailored to specific audiences. This is particularly relevant in sales, marketing, and education, where effective communication is critical. Finally, the growing availability of user-friendly AI presentation software is making this technology accessible to a wider range of users, regardless of their technical expertise. However, challenges remain. The market is still relatively nascent, with several companies vying for market share. This competitive landscape could lead to price wars and pressure on profit margins. Furthermore, concerns regarding data security and the potential for AI-generated content to lack originality or authenticity represent barriers to broader adoption. The integration of AI presentation software with existing workflow tools and the development of more advanced features, such as real-time collaboration and personalized content suggestions, will be crucial in overcoming these challenges and driving further market penetration. Significant growth is anticipated in North America and Europe, with emerging markets in Asia-Pacific following suit. The segmentation of the market reflects varying levels of functionality, pricing strategies, and target user demographics. Companies like Microsoft Copilot, Decktopus AI, and others are leading the innovation, offering diverse features and catering to specific needs.

  5. s

    2024-06 SC Clarendon – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Clarendon – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/1db554605bf0444b8ab6bd7fbdc555eb
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  6. Jessica's Test Dataset

    • zenodo.org
    Updated Nov 27, 2024
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    Jessica Ward; Jessica Ward (2024). Jessica's Test Dataset [Dataset]. http://doi.org/10.5281/zenodo.14199330
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jessica Ward; Jessica Ward
    License

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

    Time period covered
    Nov 21, 2024
    Description

    Could be very brief: "Data file, metadata, and PPT presentation for a RAAS project"

    Or could include a full abstract of the project?

  7. a

    2024-06 SC Cherokee – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Cherokee – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/1d50c794665e42f4ad2bc9d2bda50f64
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  8. s

    2024-06 SC House District 107 - Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Sep 4, 2024
    + more versions
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    MichaelBorowski (2024). 2024-06 SC House District 107 - Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/bedfd67b74e0440b87e4e7aee49138c9
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  9. s

    2024-06 SC Senate District 10 - Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Sep 4, 2024
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    MichaelBorowski (2024). 2024-06 SC Senate District 10 - Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/971b205026d54e0f9c5ab65199005700
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  10. s

    2024-06 SC Chesterfield – Statistics (PPT).JPG

    • scdigitaldrive.org
    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Chesterfield – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/a4879e0fb354437fb038c59b75ba9fd0
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  11. f

    Demographics and patient reported outcomes (presented as mean and standard...

    • figshare.com
    xls
    Updated Jun 3, 2023
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    Michael Skovdal Rathleff; Camilla Rams Rathleff; Aoife Stephenson; Rebecca Mellor; Mark Matthews; Kay Crossley; Bill Vicenzino (2023). Demographics and patient reported outcomes (presented as mean and standard deviation). [Dataset]. http://doi.org/10.1371/journal.pone.0188930.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Michael Skovdal Rathleff; Camilla Rams Rathleff; Aoife Stephenson; Rebecca Mellor; Mark Matthews; Kay Crossley; Bill Vicenzino
    License

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

    Description

    Demographics and patient reported outcomes (presented as mean and standard deviation).

  12. a

    2024-06 SC Spartanburg – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Spartanburg – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/6fb48bdbb6344f2fb695aaeb6ee818fc
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    Spartanburg
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  13. w

    Data from: Population dynamics of the infaunal bivalve, Soletellina alba

    • data.wu.ac.at
    • researchdata.edu.au
    html
    Updated Jun 24, 2017
    + more versions
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    School of Life and Environmental Sciences (LES), Deakin University (2017). Population dynamics of the infaunal bivalve, Soletellina alba [Dataset]. https://data.wu.ac.at/schema/data_gov_au/ZWEyYWJlNGEtZjQ0YS00NWViLWE0MDUtOGY4OTU2MDc2MzI4
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    htmlAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    School of Life and Environmental Sciences (LES), Deakin University
    Area covered
    c7026ba809aa4f9995ad58c51de62fc5bbc1cfda
    Description

    The population dynamics of the infaunal bivalve Soletellina alba were investigated at three sites situated in close proximity to the mouth of the Hopkins River estuary from 1997 to 1999. The distribution and abundance of juvenile and adult S.alba was very variable across all dates, sites and channel elevations (i.e. water depths). An experimental test comparing the recruitment of juveniles at different channel elevations and in sediments of varying particle size was conducted during 1999. The results of these tests showed that recruitment was greatest at the shallowest channel elevation and there was little evidence that sediment particle size influenced recruitment. In contrast to 1999, recruitment during 1997 or 1998 was very low.

    Growth rates were monitored using tagged individuals held in caged and uncaged plots, which revealed that growth was highly variable among individuals, but not between sites. These tests also revealed that growth was negligible during the colder, winter months, and that the fastest growing individuals were capable of growing 0.2 mm/day.

    Salinity tolerance experiments showed that bivalves exposed to low salinities (< 6 ppt), exhibited poorer condition and took longer to re-burrow into sediments than those exposed to greater salinities (> 14 ppt), while death of bivalves exposed to salinities < 1 ppt occurred after 8 days of exposure. These tests provide evidence that low salinities are probably the principal cause of mass mortalities that are observed during winter flooding, although the interaction between salinity, temperature and turbidity also deserve consideration in the future.

    It is hypothesised that the survival of very young juveniles (between 0.5mm and 1mm shell length) and rapid growth rates are important features of the life history of S.alba that explain its successful persistence within the Hopkins River estuary. It is highly likely that this species is capable of completing its entire life cycle within the estuary. The absence of other nearby populations, and periods of mouth closure, are likely to greatly limit the potential contribution made by larvae entering from the surrounding marine environment. This study has added to our knowledge of how an infaunal bivalve copes with life in the intermittently closing estuaries that typify semi-arid coastlines in the Southern Hemisphere.

  14. s

    2024-06 SC Allendale – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Allendale – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/c5797d751c89444c9ef0fcad8162bf98
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  15. f

    Demographic and clinical data of the sample at baseline.

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
    + more versions
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    Elena Benito-González; Maria Palacios-Ceña; Juan J. Fernández-Muñoz; Matteo Castaldo; Kelun Wang; Antonella Catena; Lars Arendt-Nielsen; César Fernández-de-las-Peñas (2023). Demographic and clinical data of the sample at baseline. [Dataset]. http://doi.org/10.1371/journal.pone.0197381.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Elena Benito-González; Maria Palacios-Ceña; Juan J. Fernández-Muñoz; Matteo Castaldo; Kelun Wang; Antonella Catena; Lars Arendt-Nielsen; César Fernández-de-las-Peñas
    License

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

    Description

    Demographic and clinical data of the sample at baseline.

  16. a

    2024-06 SC House District 11 - Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Sep 4, 2024
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    MichaelBorowski (2024). 2024-06 SC House District 11 - Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/89e08d98f1a14a2eac54719884e2eca0
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    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  17. a

    2024-06 SC House District 34 - Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Sep 4, 2024
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    MichaelBorowski (2024). 2024-06 SC House District 34 - Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/ba4f065d8f664620a6a3f247d097b7e1
    Explore at:
    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  18. s

    2024-06 SC Aiken – Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC Aiken – Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/e717e592e74b4cf5be2eb97139743455
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    Aiken
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  19. a

    2024-06 SC York – Statistics (PPT).JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Aug 27, 2024
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    MichaelBorowski (2024). 2024-06 SC York – Statistics (PPT).JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/78e22c4e5eda400c89a455e86e54561e
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    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  20. Demographics Table 1 summarizes the relevant baseline characteristics of the...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Johannes Fleckenstein; Perikles Simon; Matthias König; Lutz Vogt; Winfried Banzer (2023). Demographics Table 1 summarizes the relevant baseline characteristics of the included subjects. [Dataset]. http://doi.org/10.1371/journal.pone.0185463.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Johannes Fleckenstein; Perikles Simon; Matthias König; Lutz Vogt; Winfried Banzer
    License

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

    Description

    Data is indicated as mean ± SD. No significant baseline differences have been detected between groups.

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Gourav Banerjee; Michelle Briggs; Mark I. Johnson (2023). Demographic characteristics and anthropometric data of all participants. [Dataset]. http://doi.org/10.1371/journal.pone.0226109.t001

Demographic characteristics and anthropometric data of all participants.

Related Article
Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
xlsAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
PLOS ONE
Authors
Gourav Banerjee; Michelle Briggs; Mark I. Johnson
License

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

Description

Demographic characteristics and anthropometric data of all participants.

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