16 datasets found
  1. f

    Dataset to the study ‘Redheaded women are more sexually active than other...

    • figshare.com
    txt
    Updated Sep 24, 2022
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    Kateřina Sýkorová; Jaroslav Flegr (2022). Dataset to the study ‘Redheaded women are more sexually active than other women, but it is probably due to their suitors’ [Dataset]. http://doi.org/10.6084/m9.figshare.21200968.v1
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    txtAvailable download formats
    Dataset updated
    Sep 24, 2022
    Dataset provided by
    figshare
    Authors
    Kateřina Sýkorová; Jaroslav Flegr
    License

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

    Description

    The dataset contains variables sex (female = 0, male = 1), non-redheadedness measured as parameter R, redheadedness measured as parameter a*, observer report of redheadedness, self-reported redheadedness, redheadedness in childhood, redness of body hair, age, size of place of residence, physical disease (and 6 variables related to physical health which were used to calculate the index), mental disease (and 10 variables related to mental health which were used to calculate the index), sexual desire (and three variables from the Revised Sociosexual Orientation Inventory which were used to calculate sexual desire), sexual activity, number of sexual partners, age at first sexual intercourse, non-heterosexuality (and two variables asking about the intensity of being attracted to people of the same and opposite sex), BDSM index (and 9 variables related to sexual preferences which were used to calculate the index), and index of sexual dominance (and 8 variables related to sexual preferences which were used to calculate the index).

    Pohlavi = Sex Vek = Age ZrzavostVlasu = Self-reported redheadedness SOIRDesire = Sexual desire SexualniAktivita = Sexual activity PocetPartnerPreferPohl = Number of sexual partners of the preferred sex VekStyku= Age at first sexual intercourse NeheterosexualitaUzce = Non-heterosexuality DominanceIndex = Index of sexual dominance BDSMIndex = BDSM index IndexFyzickeNemocnosti = Physical disease Zrzavost_R = Non-redheadedness measured as parameter R Zrzavost_a. = Redheadedness measured as parameter a* ObsRepZrzavostKat = Observer report of redheadedness ZrzavostDetstvi = Redheadedness in childhood ZrzavostOchlupeni = Redness of body hair IndexPsychickeNemocnosti = Mental disease

  2. g

    Community Health: New York State Percentage of Sexually Active Young Women...

    • gimi9.com
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    Community Health: New York State Percentage of Sexually Active Young Women Aged 16 - 24 with at least one Chlamydia Test in the Medicaid Program Trend Chart: Beginning 2010 | gimi9.com [Dataset]. https://gimi9.com/dataset/ny_b47b-x9cs
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    New York
    Description

    This trend chart shows the statewide, NYC, and NYS excluding NYC percentage of sexually active young women aged 16 - 24 with at least one chlamydia test in the Medicaid program. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS trend data table presents data for close to 300 health indicators and are provided for all 62 counties, for New York State, for New York City, and Rest of State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

  3. Number of forcible rape cases U.S. 2023, by state

    • statista.com
    Updated Nov 21, 2024
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    Statista (2024). Number of forcible rape cases U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/232524/forcible-rape-cases-in-the-us-by-state/
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.

  4. d

    OPCS Omnibus Survey, October 1995 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Jan 14, 2024
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    (2024). OPCS Omnibus Survey, October 1995 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/f046a1b0-b1bb-5047-8bb9-9d91a1d7f578
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    Dataset updated
    Jan 14, 2024
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Condom Use (Module 6): awareness of publicity about AIDS; the use of condoms amongst the sexually active and its relation to publicity about HIV and AIDS. Food Safety (Module 19): frequency of dining out; frequency and consumption of take-away meals and food; attitude to risks of food poisoning from certain food outlets; knowledge of possible dangers of eating certain foods or not preparing foods properly; ownership and use of refrigerator and freezer, awareness of optimum temperature for refrigerator and how often temperature checked; knowledge of government health warnings on salmonella and listeria; awareness of food safety issues. GP Accidents (Module 78): accidents in previous three months that resulted in seeing a doctor or going to hospital; where accident happened; whether saw a GP or went straight to hospital. For accidents involving either the respondent or other household member, that resulted in a GP being seen, details of items of equipment involved in the accident were recorded. Work-related Illness (Module 122): respondents who were in full-time employment, or had been within the past 10 years, were asked questions concerning the following: physical working conditions; workloads; exposure to harmful substances or fumes; exposure to noise; threats of, or exposure to, physical violence from the public. All respondents were asked questions concerning their health including: chest or respiratory complaints; heart disease; breathing difficulties; smoking habits; asthma; hay fever; hearing difficulties; stress. Workplace Accidents (Module 128): accidents resulting in an injury at work or in the course of work; amount of time not able to work as a result of accident. Skin Cancer (Module 129): skin type, whether tried to get a sun tan in last 12 months; whether suffered from sunburn in last 12 months, how often, how severe and where it happened; awareness of campaign on exposure to sun; information sources on sun exposure; whether found information useful; knowledge of risk of skin cancer through exposure to sun; awareness of main ways of protection from sun. Multi-stage stratified random sample Face-to-face interview

  5. NDFF Monitoring territorial bats by transect

    • gbif.org
    Updated Apr 3, 2018
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    Martijn van Oene; Martijn van Oene (2018). NDFF Monitoring territorial bats by transect [Dataset]. http://doi.org/10.15468/q1doum
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    Dataset updated
    Apr 3, 2018
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Dutch National Database of Flora and Fauna (NDFF)
    Authors
    Martijn van Oene; Martijn van Oene
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 1997
    Area covered
    Description

    This is a sub-monitoring program that counts a limited selection of a population, namely the sexually active males. A transact of at least 2.5 kilometres is set out through a more or less homogeneous landscape: urban or rural landscape woodland or parkland agricultural areas From 15 August to 30 September, all territorial males of the Nyctalus noctula, Pipistrellus pipistrellus and the Pipistrellus nathusii are counted with a bat detector during 4 to 6 visits. The visits are made on foot. They are exclusively carried out in the evenings, 45 minutes after the species leave the nest at sundown. Data was actively collected from 1990 to 1997 for this monitoring program. Dataset available via https://www.ndff.nl/english / serviceteamndff@natuurloket.nl Positive observations without zeros. 924 records (March 2018) https://www.ndff.nl/overdendff/validatie/protocollen/17-205-meetnet-transecttellingen-territoriale-vleermuizen/

  6. U

    Male Sexual Partners of Adolescent Girls and Young Women in Haiti: A Survey...

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    pdf, tsv
    Updated Apr 3, 2020
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    UNC Dataverse (2020). Male Sexual Partners of Adolescent Girls and Young Women in Haiti: A Survey of HIV Risk Behavior, HIV Service Use, and Partner Violence [Dataset]. http://doi.org/10.15139/S3/DLJHRJ
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    tsv(294484), pdf(3559392)Available download formats
    Dataset updated
    Apr 3, 2020
    Dataset provided by
    UNC Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Haiti
    Description

    The goal of this study was to support the achievement of PEPFAR’s 95-95-95 targets by providing a robust understanding of HIV sexual risk behavior, HIV testing, and HIV treatment from the perspective of adult male sexual partners of AGYW in Haiti. The research objectives were to: • Describe and identify modifiable determinants of HIV risk behavior and risky sexual partnerships. • Describe normative beliefs about HIV risk behavior, sexual partnerships, and HIV service use and their influence on personal HIV risk behavior. • Describe current HIV service use and preferences for HIV testing, determinants of HIV testing uptake, and, among HIV-positive participants, ART treatment uptake and adherence. A cross-sectional study was conducted to capture descriptive information among male sexual partners of AGYW. The study sites were the capital city of Port-au-Prince (PaP), in the south, and the city of St. Marc, in the Artibonite department (northern part of the country). These sites were purposely selected from the four active DREAMS intervention cities island-wide to represent the unique context of an urban city and one of two sites in the department of the Artibonite. A social and behavioral survey was applied to capture key sexual risk behaviors, social norms, and sexual relationship dynamics. In addition to general measures of sexual risk behavior (e.g., age of sexual debut, number of new sexual partners in the previous 12 months), a partnerships grid detailing information for up to three sexual partners in the previous 12 months was included. The first sexual partner discussed was the most recent AGYW. Psychosocial scales to measure important constructs were selected from established measures.

  7. England and Wales Census 2021 - RM124: Sexual orientation by economic...

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated May 9, 2023
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). England and Wales Census 2021 - RM124: Sexual orientation by economic activity status [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/england-and-wales-census-2021-rm124-sexual-orientation-by-economic-activity-status
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    xlsxAvailable download formats
    Dataset updated
    May 9, 2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    England, Wales
    Description

    This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by sexual orientation by economic activity status. The estimates are as at Census Day, 21 March 2021.

    Some sub-populations have age and geographic profiles that may affect the relationships with other variables such as education, employment, health and housing. Take care when using this variable with others. We will publish more detailed commentary and guidance later this year. Read more about this quality notice.

    As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

    Area type

    Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

    For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

    Coverage

    Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

    • country - for example, Wales
    • region - for example, London
    • local authority - for example, Cornwall
    • health area – for example, Clinical Commissioning Group
    • statistical area - for example, MSOA or LSOA

    Sexual orientation

    Classifies people according to the responses to the sexual orientation question. This question was voluntary and was only asked of people aged 16 years and over.

    Economic activity status

    People aged 16 years and over are economically active if, between 15 March and 21 March 2021, they were:

    • in employment (an employee or self-employed)
    • unemployed, but looking for work and could start within two weeks
    • unemployed, but waiting to start a job that had been offered and accepted

    It is a measure of whether or not a person was an active participant in the labour market during this period. Economically inactive are those aged 16 years and over who did not have a job between 15 March to 21 March 2021 and had not looked for work between 22 February to 21 March 2021 or could not start work within two weeks.

    The census definition differs from International Labour Organization definition used on the Labour Force Survey, so estimates are not directly comparable.

    This classification splits out full-time students from those who are not full-time students when they are employed or unemployed. It is recommended to sum these together to look at all of those in employment or unemployed, or to use the four category labour market classification, if you want to look at all those with a particular labour market status.

  8. d

    SVS98 - Adult experience of sexual violence with one person that was a...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Jun 20, 2024
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    Central Statistics Office (2024). SVS98 - Adult experience of sexual violence with one person that was a non-partner (% of persons aged 18 years and over who experienced sexual violence as an adult with a partner) [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=svs98-rsons-aged-18-years-and-over-who-experienced-sexual-violence-as-an-adult-with-a-partner-26dd
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    xlsx, px, json-stat, csvAvailable download formats
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jun 20, 2024
    Description

    SVS98 - Adult experience of sexual violence with one person that was a non-partner (% of persons aged 18 years and over who experienced sexual violence as an adult with a partner). Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Adult experience of sexual violence with one person that was a non-partner (% of persons aged 18 years and over who experienced sexual violence as an adult with a partner)...

  9. d

    SVS170 - Childhood experience of contact sexual violence by location of...

    • datasalsa.com
    csv, json-stat, px +1
    Updated Jun 24, 2024
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    Central Statistics Office (2024). SVS170 - Childhood experience of contact sexual violence by location of experience (% of persons aged 18 years and over who experienced contact sexual violence as a child) [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=svs170-ce-of-persons-aged-18-years-and-over-who-experienced-contact-sexual-violence-as-a-child-2b4d
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    json-stat, csv, xlsx, pxAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Mar 14, 2025
    Description

    SVS170 - Childhood experience of contact sexual violence by location of experience (% of persons aged 18 years and over who experienced contact sexual violence as a child). Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Childhood experience of contact sexual violence by location of experience (% of persons aged 18 years and over who experienced contact sexual violence as a child)...

  10. f

    Knowledge about human papillomavirus and prevention of cervical cancer among...

    • plos.figshare.com
    • figshare.com
    doc
    Updated May 30, 2023
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    Elena E. Roik; Ekaterina E. Sharashova; Evert Nieboer; Olga A. Kharkova; Vitaly A. Postoev; Jon Ø Odland (2023). Knowledge about human papillomavirus and prevention of cervical cancer among women of Arkhangelsk, Northwest Russia [Dataset]. http://doi.org/10.1371/journal.pone.0189534
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    docAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Elena E. Roik; Ekaterina E. Sharashova; Evert Nieboer; Olga A. Kharkova; Vitaly A. Postoev; Jon Ø Odland
    License

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

    Area covered
    Arkhangelsk
    Description

    BackgroundKnowledge about cervical cancer (CC) risk factors and benefits of CC prevention motivates women to participate in its screening. However, several studies show that there is a significant knowledge deficit worldwide about human papillomavirus (HPV). The current study explores the level of knowledge about HPV and CC prevention in the context of sociodemographic and behavioral characteristics of women who visited an antenatal clinic in Arkhangelsk, Russia.MethodsThis cross-sectional study was conducted in the city of Arkhangelsk, which seats the administrative center of Arkhangelsk County, Northwest Russia. It included women who consulted a gynecologist for any reason between January 1, 2015 and April 30, 2015, were residents of Arkhangelsk, 25 to 65 years of age and sexually active (N = 300). Student’s t-test for continuous variables and Pearson's χ2 test for categorical variables were used in the comparisons of women grouped as having either poor or sufficient knowledge. Linear regression analysis was also employed.ResultsThe level of knowledge about HPV and CC prevention was associated with education, parity, age of initiating of intercourse, and sources of information. After adjustment, women with university education were more likely to have higher knowledge about HPV and CC prevention compared to those with lower education.ConclusionsWe observed that most participants had a sufficient level of knowledge. Educational gaps were identified that potentially could be used to tailor interventions in CC prevention.

  11. Data from: Sexual deception in a cannibalistic mating system? testing the...

    • data.niaid.nih.gov
    • figshare.mq.edu.au
    • +2more
    zip
    Updated Nov 21, 2014
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    Katherine L. Barry (2014). Sexual deception in a cannibalistic mating system? testing the Femme Fatale hypothesis [Dataset]. http://doi.org/10.5061/dryad.h8m2q
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    zipAvailable download formats
    Dataset updated
    Nov 21, 2014
    Dataset provided by
    Macquarie University
    Authors
    Katherine L. Barry
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Sydney
    Description

    Animal communication theory holds that in order to be evolutionarily stable, signals must be honest on average, but significant dishonesty (i.e. deception) by a subset of the population may also evolve. A typical praying mantid mating system involves active mate searching by males, which is guided by airborne sex pheromones in most species for which mate-searching cues have been studied. The Femme Fatale hypothesis suggests that female mantids may be selected to exploit conspecific males as prey if they benefit nutritionally from cannibalism. Such a benefit exists in the false garden mantid Pseudomantis albofimbriata—females use the resources gained from male consumption to significantly increase their body condition and reproductive output. This study aimed to examine the potential for chemical deception among the subset of females most likely to benefit from cannibalism (poorly fed females). Females were placed into one of four feeding treatments (‘Very Poor’, ‘Poor’, ‘Medium’ and ‘Good’), and males were given the opportunity to choose between visually obscured females in each of the treatments. Female body condition and fecundity varied linearly with food quantity; however, female attractiveness did not. That is, Very Poor females attracted significantly more males than any of the other female treatments, even though these females were in significantly poorer condition, less fecund (in this study) and more likely to cannibalise (in a previous study). In addition, there was a positive correlation between fecundity and attractiveness if Very Poor females were removed from the analysis, suggesting an inherently honest signalling system with a subset of dishonest individuals. This is the first empirical study to provide evidence of sexual deception via chemical cues, and the first to provide support for the Femme Fatale hypothesis.

  12. England and Wales Census 2021 - RM185: Sexual orientation by NS-SEC

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated May 9, 2023
    + more versions
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). England and Wales Census 2021 - RM185: Sexual orientation by NS-SEC [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/england-and-wales-census-2021-rm185-sexual-orientation-by-ns-sec
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    xlsxAvailable download formats
    Dataset updated
    May 9, 2023
    Dataset provided by
    UK Data Servicehttps://ukdataservice.ac.uk/
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    England, Wales
    Description

    This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales, by sexual orientation and NS-SEC. The estimates are as at Census Day, 21 March 2021.

    Some sub-populations have age and geographic profiles that may affect the relationships with other variables such as education, employment, health and housing. Take care when using this variable with others. We will publish more detailed commentary and guidance later this year. Read more about this quality notice.

    As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

    Area type

    Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

    For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

    Coverage

    Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

    • country - for example, Wales
    • region - for example, London
    • local authority - for example, Cornwall
    • health area – for example, Clinical Commissioning Group
    • statistical area - for example, MSOA or LSOA

    Sexual orientation

    Classifies people according to the responses to the sexual orientation question. This question was voluntary and was only asked of people aged 16 years and over.

    National Statistics Socio-economic Classification (NS-SeC)

    The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.

    It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.

    Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.

  13. Data for the manuscript titled "No evidence for adaptive sex ratio...

    • figshare.com
    txt
    Updated Jun 20, 2023
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    Trey C. Hendrix; Christina Riehl (2023). Data for the manuscript titled "No evidence for adaptive sex ratio adjustment in a cooperatively breeding bird with helpful helpers" [Dataset]. http://doi.org/10.6084/m9.figshare.22816907.v1
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    txtAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Trey C. Hendrix; Christina Riehl
    License

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

    Description

    This is the data set used in the analyses in the manuscript "No evidence for adaptive sex ratio adjustment in a cooperatively breeding bird with helpful helpers." Each row represents a single Greater Ani (Crotophaga major) nestling, and some columns describe nestling-level characteristics while others describe brood-level characteristics (which are shared among several nestlings). In this data set, no ani breeding group produced more than one brood of nestlings that were sampled in a single year. For this reason, combining the "Year" and "Location" columns (described below) creates a unique brood identifier.

    Columns Describing Nestling Characteristics:
    Band_number = This is a unique identifier of individual nestlings in our data set Sex = The sex of a nestling; this column has only two possible values: "1" for males and "0" for females; the data have been filtered such that no nestlings of unknown sex are included Hatch_order = The position in the hatching order of an ani nesting; this column has three possible values "First," "Middle," and "Last;" "First” and “Last” describe the absolute earliest and latest positions in the hatching order, respectively, and “Middle” describes all intermediate positions as in Riehl (2016).

    Columns Describing Brood Characteristics: Year = The 4-digit year in which a nestling was sampled/in which an observation was made Location = An identifier of the location of a breeding group's territory; this variable is correlated with, but is not identical to, the name of the breeding group (i.e., parental identity) since breeding groups use the same territories across years but the membership of the groups can change Sex_ratio = The proportion of nestlings within a brood that are male; this takes numeric values between 0 (an all-female brood) and 1 (an all-male brood); this column was calculated by grouping the data by "Year" and "Location" (i.e., grouping by brood) and calculating the average of the "Sex" column. Synchrony = The range of calendar days over which hatching occurred in a nest Brood_size = The number of eggs that hatched within a nest Clutch_size = The number of eggs that were incubated in a nest; this does not include eggs that were ejected from the nest Helper_presence = Binary variable describing whether or not a breeding group included a non-breeding helper; "1" values indicate that a nest had a helper; "0" values indicate that a nest did not have a helper Breeding_pairs = The number of monogamous pairs of breeding anis that were observed at a nest while it was active and contributed to the communal clutch of eggs (either "Two" or "Three")

    Missing data Missing data is represented throughout this data set as "NA"

  14. Full study dataset.

    • plos.figshare.com
    xlsx
    Updated Nov 10, 2023
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    Rushil Harryparsad; Bahiah Meyer; Ongeziwe Taku; Myrna Serrano; Pai Lien Chen; Xiaoming Gao; Anna-Lise Williamson; Celia Mehou-Loko; Florence Lefebvre d’Hellencourt; Jennifer Smit; Jerome Strauss; Kavita Nanda; Khatija Ahmed; Mags Beksinska; Gregory Buck; Charles Morrison; Jennifer Deese; Lindi Masson (2023). Full study dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0294285.s011
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    xlsxAvailable download formats
    Dataset updated
    Nov 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rushil Harryparsad; Bahiah Meyer; Ongeziwe Taku; Myrna Serrano; Pai Lien Chen; Xiaoming Gao; Anna-Lise Williamson; Celia Mehou-Loko; Florence Lefebvre d’Hellencourt; Jennifer Smit; Jerome Strauss; Kavita Nanda; Khatija Ahmed; Mags Beksinska; Gregory Buck; Charles Morrison; Jennifer Deese; Lindi Masson
    License

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

    Description

    BackgroundSouth Africa is among the countries with the highest prevalence of sexually transmitted infections (STIs), including Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG). In 2017, there were an estimated 6 million new CT, 4.5 million NG and 71 000 Treponema pallidum infections among South African men and women of reproductive age.MethodsWe evaluated STI prevalence and incidence and associated risk factors in 162 women aged 18–33 years old, residing in eThekwini and Tshwane, South Africa who were part of the Evidence for Contraceptive Options and HIV Outcomes (ECHO) trial. Women were randomised to use depot medroxyprogesterone acetate (n = 53), copper intrauterine device (n = 51), or levonorgestrel (n = 58) implant. Lateral vaginal wall swab samples were collected prior to contraceptive initiation and at months one and three following contraceptive initiation for STI testing.ResultsThere were no significant differences in STI incidence and prevalence across contraceptive groups. At baseline, 40% had active STIs (CT, NG, Trichomonas vaginalis (TV), Mycoplasma genitalium (MG) or herpes simplex virus-2 shedding across all age groups– 18–21 years (46%), 22–25 years (42%) and 26–33 years (29%). The incidence of STIs during follow-up was exceptionally high (107.9/100 women-years [wy]), with younger women (18–21 years) more likely to acquire CT (75.9/100 wy) compared to 26–33 year olds (17.4/100 wy; p = 0.049). TV incidence was higher in the 26–33 year old group (82.7/100 wy) compared to the 18–21 year olds (8.4/100 wy; p = 0.01).ConclusionsAlthough the study participants received extensive counselling on the importance of condom use, this study highlights the high prevalence and incidence of STIs in South African women, especially amongst young women, emphasising the need for better STI screening and management strategies.

  15. f

    Logistic regression model for recent emergency contraceptive use (in last 12...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 17, 2023
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    Bennett Nemser; Nicholas Addofoh (2023). Logistic regression model for recent emergency contraceptive use (in last 12 months) by survey round, PMA/Kenya (2017, 2019). [Dataset]. http://doi.org/10.1371/journal.pone.0270516.t007
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    xlsAvailable download formats
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Bennett Nemser; Nicholas Addofoh
    License

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

    Area covered
    Kenya
    Description

    Logistic regression model for recent emergency contraceptive use (in last 12 months) by survey round, PMA/Kenya (2017, 2019).

  16. d

    Partners III - Students in the Soviet Union 1990 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 28, 2023
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    (2023). Partners III - Students in the Soviet Union 1990 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/31413ff2-c169-59ce-8608-fc62a12b2571
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    Dataset updated
    Oct 28, 2023
    Area covered
    Sowjetunion
    Description

    Growth and development of partner relations among Soviet college students, their attitudes to love and sexuality. Habitual and current sexual behavior in the age of AIDS. Topics: Belief in the "great love"; reflexion of the first steady friendship; moral orientations on structuring life; family constellation in childhood; relationship with parents regarding sexual questions, nakedness in parental home, family climate; siblings; philosopy of child-raising in parental home; personal world view; age at first masturbation and frequency; form of arousing first orgasm, age; socio-sexual precoital development, sexual maturity, first intimate contacts; first sexual intercourse, age, partner, initiative, coercion, reflexion, contraceptives used; knowledge and attitude to contraception, responsibility, use up to now; abortion, acceptance, experienced oneself; experiences in partnership and love; sexual and partnership activities; psycho-sexual and partner-centered self-evaluations; sexual habits; orientation to both sexes, partner mobility; sexual experiences, affairs, desires, acceptance of sexual practices, active-passive; current steady partner relation, commitment, emotional tie; partner also student; tenderness and sexual agreement; frequency of sexual intercourse, orgasms and pretended orgasm; number of partners in sexual intercourse in the last year and up to now; foreign partners in sexual intercourse; psychological and physical well-being; use of semi-luxury foods, tobacco and alcohol; experience of partner and sexual violence, rape; most recent intimate togetherness, sexual intercourse and orgasm; commitment to partner of most recent sexual intercourse; alcohol; concepts on partnership and structuring family life; AIDS: interest in this topic, communication, problems and insecurity. Herausbildung und Entwicklung von Partnerbeziehungen bei sowjetischen Hochschulstudenten, ihre Einstellungen zu Liebe und Sexualität. Habituelles und aktuelles Sexualverhalten im Zeitalter von AIDS. Themen: Glaube an die "große Liebe"; Reflexion der ersten festen Freundschaft; Wertorientierungen zur Lebensgestaltung; Familienkonstellation in Kindheit; Verhältnis zu den Eltern bezüglich sexueller Fragen, Nacktheit im Elternhaus, familiäres Klima; Geschwister; weltanschauliche Erziehung im Elternhaus; eigene Weltanschauung; Alter der 1. Masturbation und Häufigkeit; Auslöseform des ersten Orgasmus, Alter; soziosexuelle präkoitale Entwicklung, Geschlechtsreife, erste intime Kontakte; erster Geschlechtsverkehr, Alter, Partner, Initiative, Zwang, Reflexion, angewandte Kontrazeptiva; Kenntnis und Einstellung zur Kontrazeption, Verantwortlichkeit, bisherige Anwendung; Schwangerschaftsabbruch, Akzeptanz, selbst erlebt; Erfahrungen in Partnerschaft und Liebe; sexuelle und partnerschaftliche Aktivitäten; psychosexuelle und partnerbezogene Selbsteinschätzungen; sexuelle Gewohnheiten; sexuelle Mehrgleisigkeit, Partnermobilität; sexuelle Erfahrungen, Erlebnisse, Wünsche, Akzeptanz von Sexualpraktiken, aktiv-passiv; aktuelle feste Partnerbeziehung, Verbindlichkeit, emotionale Bindung; PartnerIn auch StudentIn; Zärtlichkeit und sexuelle Übereinstimmung; Häufigkeit von Geschlechtsverkehr, von Orgasmen und vorgetäuschter Orgasmus; Anzahl der Partner beim Geschlechtsverkehr im letzten Jahr und bisher; ausländische Partner beim Geschlechtsverkehr; psychisches und physisches Wohlbefinden; Genußmittelgebrauch; Erfahrung partnerschaftlicher und sexueller Gewalt, Vergewaltigung; jüngstes intimes Zusammensein, Geschlechtsverkehr und Orgasmus; Verbindlichkeit zum Partner des jüngsten Geschlechtsverkehrs; Alkohol; Vorstellungen zur Partnerschaft und zur familiären Lebensgestaltung; AIDS: Interesse an diesem Thema, Kommunikation, Probleme und Verunsicherung.

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

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Kateřina Sýkorová; Jaroslav Flegr (2022). Dataset to the study ‘Redheaded women are more sexually active than other women, but it is probably due to their suitors’ [Dataset]. http://doi.org/10.6084/m9.figshare.21200968.v1

Dataset to the study ‘Redheaded women are more sexually active than other women, but it is probably due to their suitors’

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txtAvailable download formats
Dataset updated
Sep 24, 2022
Dataset provided by
figshare
Authors
Kateřina Sýkorová; Jaroslav Flegr
License

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

Description

The dataset contains variables sex (female = 0, male = 1), non-redheadedness measured as parameter R, redheadedness measured as parameter a*, observer report of redheadedness, self-reported redheadedness, redheadedness in childhood, redness of body hair, age, size of place of residence, physical disease (and 6 variables related to physical health which were used to calculate the index), mental disease (and 10 variables related to mental health which were used to calculate the index), sexual desire (and three variables from the Revised Sociosexual Orientation Inventory which were used to calculate sexual desire), sexual activity, number of sexual partners, age at first sexual intercourse, non-heterosexuality (and two variables asking about the intensity of being attracted to people of the same and opposite sex), BDSM index (and 9 variables related to sexual preferences which were used to calculate the index), and index of sexual dominance (and 8 variables related to sexual preferences which were used to calculate the index).

Pohlavi = Sex Vek = Age ZrzavostVlasu = Self-reported redheadedness SOIRDesire = Sexual desire SexualniAktivita = Sexual activity PocetPartnerPreferPohl = Number of sexual partners of the preferred sex VekStyku= Age at first sexual intercourse NeheterosexualitaUzce = Non-heterosexuality DominanceIndex = Index of sexual dominance BDSMIndex = BDSM index IndexFyzickeNemocnosti = Physical disease Zrzavost_R = Non-redheadedness measured as parameter R Zrzavost_a. = Redheadedness measured as parameter a* ObsRepZrzavostKat = Observer report of redheadedness ZrzavostDetstvi = Redheadedness in childhood ZrzavostOchlupeni = Redness of body hair IndexPsychickeNemocnosti = Mental disease

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