2 datasets found
  1. g

    Bureau of Transportation Statistics, Weigh in Motion Stations, US, 2007

    • geocommons.com
    Updated May 16, 2008
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    data (2008). Bureau of Transportation Statistics, Weigh in Motion Stations, US, 2007 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 16, 2008
    Dataset provided by
    data
    Bureau of Transportation Statistics National Transportation Atlas Database
    Description

    The data included in the GIS Traffic Stations Version database have been assimilated from station description files provided by FHWA for Weigh-in-Motion (WIM) stations, and Automatic Traffic Recorders (ATR). Location referencing information was derived from the National Highway Planning Network version 4.0. and State offices of Transportation. The attributes on the point elements of the database have come from two primary sources, the Station Description Records and the National Highway Planning Network's Linear Referencing System. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate Station Description Table (SDT) for each of the different station types; WIM, and ATR. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field . A single exception table containing records for those stations that could not be located is provided for WIM, and ATR stations. Generally, this table contains records where location descriptions were not clear enough to locate a station. It is hoped that FHWA will be able to contact the States for a more detailed description

  2. f

    Respondents’ concerns about their appearance.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Nov 1, 2023
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    Anna M. Platta; Anna T. Mikulec; Monika Radzymińska; Millena Ruszkowska; Grzegorz Suwała; Marek Zborowski; Przemysław Łukasz Kowalczewski; Marcin Nowicki (2023). Respondents’ concerns about their appearance. [Dataset]. http://doi.org/10.1371/journal.pone.0293617.t004
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    xlsAvailable download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anna M. Platta; Anna T. Mikulec; Monika Radzymińska; Millena Ruszkowska; Grzegorz Suwała; Marek Zborowski; Przemysław Łukasz Kowalczewski; Marcin Nowicki
    License

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

    Description

    The present study aimed to identify declared patterns of ideal appearance among students at selected higher education institutions in Poland. In the present study, we set out to identify the body image and the propensity to change it. In order to achieve the goal of the study, a nationwide survey was carried out using a voluntary diagnostic survey. A total of 810 respondents took part in the survey. The study was conducted using a custom-made self-designed survey questionnaire with an indirect interview technique via a web-based platform (CAWI). The study results indicate that women were far more eager to maintain an attractive appearance through dieting than men. Importantly, the respondents, both women and men, did not identify influencers as role models of attractive appearance. Results of the present survey reveal that attitudes towards one’s physical appearance are diverse and influenced by the considered factors. The attributes that determined the perception of oneself as an attractive person included height, weight, and body build. Normal body weight is a key feature of an attractive appearance, according to the respondents; nevertheless, students show a higher tolerance for being overweight than for being underweight. Furthermore, preferences in this respect are largely conditioned by individual personal characteristics. According to young people, a person with an attractive appearance is one who eats and exercises regularly, and who does not fall into extremes in terms of their appearance. On the other hand, the fear of growing fat and losing one’s attractive appearance was frequently indicated among the concerns over personal appearance. Only one in five respondents expressed complete satisfaction with how they looked, with men and those with a normal BMI significantly more likely to do so. Respondents expressed readiness to undertake a range of activities related to increased exercise regime, changes in their eating habits, or seeking assistance (e.g., of a personal trainer) to achieve the desired body shape. Our findings can be used as a basis for discussion and consideration in developing educational activities on nutrition, as well as on overweight- and obesity-related health issues.

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data (2008). Bureau of Transportation Statistics, Weigh in Motion Stations, US, 2007 [Dataset]. http://geocommons.com/search.html

Bureau of Transportation Statistics, Weigh in Motion Stations, US, 2007

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 16, 2008
Dataset provided by
data
Bureau of Transportation Statistics National Transportation Atlas Database
Description

The data included in the GIS Traffic Stations Version database have been assimilated from station description files provided by FHWA for Weigh-in-Motion (WIM) stations, and Automatic Traffic Recorders (ATR). Location referencing information was derived from the National Highway Planning Network version 4.0. and State offices of Transportation. The attributes on the point elements of the database have come from two primary sources, the Station Description Records and the National Highway Planning Network's Linear Referencing System. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate Station Description Table (SDT) for each of the different station types; WIM, and ATR. The attributes in the Station Description Table correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The Station Description Table can be linked to the station shapefile via the STNNKEY field . A single exception table containing records for those stations that could not be located is provided for WIM, and ATR stations. Generally, this table contains records where location descriptions were not clear enough to locate a station. It is hoped that FHWA will be able to contact the States for a more detailed description

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