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University of North Florida Showcase

Digital Commons Data at the University of North Florida’s Thomas G. Carpenter Library is an institutional data repository for data sets and supporting files to be shared in compliance with funder and publisher policies. It provides a way for faculty researchers and administrators a way to store, collaborate with, manage, publish, and preserve data sets. To learn more, please reach out to lib-digital@unf.edu.

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1970
2024
1970 2024
416 results
  • Dataset for "Sexual Orientation and Gender-Identity (SOGI) Laws That Support and/or Limit International Development"
    *Dataset Published in 2020, Deposited to DCD in 2024. Abstract The data was used in conducting research on Sexual Orientation and Gender-Identity (SOGI) Laws That Support and/or Limit International Development conducted by Thomas S. Serwatka. A sexual orientation and gender identity legal index (SOGI-LI) was developed for 185 countries where data were available for 2018 [see Column C]. The author used data from the 11th and 13th editions of the International Lesbian, Gay, Bisexual, Trans and Intersexual Association’s State-Sponsored Homophobia Reports (Carroll 2016; Mendos 2019). Using the data from ILGA, the initial version of the Sexual Orientation and Gender-Identity-Legal Index (SOGI-LI) was constructed. It was supplemented by information on transgender 2019 annual report LGBT rights by country (Wikipedia’s 2019 update) [See Column E]. Sub-scores are listed in columns M-S. Democracy Index 2018 The Economist Intelligence Unit (2019) provides an indexed score on the democratic rule for 167 countries (See Column F) of which 151 were included in the current study on 185 nations. The Democracy Index scores could range from 0 to 10 points and were based on five subscales listed in columns U-Y. World Happiness Report The World Happiness Report was first published in April 2012, with the support of the United Nations (Helliwell et al. 2019). The survey is administered to at least 1,000 and up to 3,000 participants from each of 150 countries across the globe. The single question survey asks respondents to rate their level of happiness over the past year: Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time? [National Scores in Column G] Scores represent a three-year rolling average. In post-hoc analyses, the responses are found to strongly relate to GDP per-capita, social support systems, healthy life expectancy, freedom to make life choices. [Correlated data tracked in columns Z-AE] Per-capita GDP Data on the 2018 per-capita GDP for 171 of the countries included in the study were downloaded from Knomea, which drew the data from The World Bank (2018) [Column H] Educational Level Data on the educational levels for 138 of the 185 nations under study were drawn from the World Data Atlas (2017). These data are presented as the percentage of the adult population that had completed a tertiary (post-secondary) education program [Column I].
    • Dataset
  • Data for: Developing Reliable Measures of the Passive Torque-Angle Relationship for Shoulder Internal and External Rotation: Implications for Overhead Athletics
    Flexibility data from the four sessions are included.
    • Dataset
  • chalklab/SciDataLib: Version 0.3.0
    What's Changed Adds dataseries to rruff reader and writer by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/70 Switch pypi order during CI by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/67 Add dataseries test by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/68 Adds scidata dataseries to jcamp reader and writer by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/69 Split release yamls by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/71 Fixes the PyPi badge in README by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/72 Moves pytest-cov to a dev dependency by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/75 Update poetry version by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/77 Adds RRUFF file format, bumps pytest and poetry versions by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/81 updates to clean function and some other methods by @stuchalk in https://github.com/chalklab/SciDataLib/pull/78 Bumps version 0.2.6 alpha to 6 by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/83 Bump to v0.3.0-alpha.1 in pyproject toml by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/84 Full Changelog: https://github.com/chalklab/SciDataLib/compare/v0.2.5...v0.3.0
    • Software/Code
  • Dietary pattern and precocious puberty risk in Chinese girls: a case-control study
    Abstract Background The role of dietary intake on precocious puberty remains unclear. This study aimed to investigate the association between the amount and frequency of dietary intake and the risk of precocious puberty in Chinese girls. Methods In this case-control study, we enrolled 185 precocious puberty girls and 185 age-matched controls. Their dietary intake was assessed through a semi-quantitative food frequency questionnaire. Their sociodemographic and lifestyle data were collected. The associations between dietary intake and risk of precocious puberty were assessed by conditional logistic regression models. Results After multivariate adjustment, consuming a higher amount of red meat was associated with higher precocious puberty risk (OR = 2.74, 95% CI: 1.25–6.02), while a higher frequency of fruit ( P for trend = 0.024) and amount of vegetable intake was associated with a lower risk of precocious puberty (P for trend = 0.002). The high vegetable and protein dietary pattern was significantly negatively associated with precocious puberty (OR = 0.78, 95% CI: 0.63–0.97), whereas the high animal food and fruits dietary pattern was remarkably positively associated with precocious puberty (OR = 1.36, 95% CI: 1.09–1.69), after adjusting for age and body mass index. Conclusions High vegetable and protein dietary pattern is a protective factor against precocious puberty, while high animal food and fruits dietary pattern is a risk factor for precocious puberty in Chinese girls. Attentions should be paid to a reasonable intake of red meat, eggs, and fruits in children’s daily diet, increase their intake of vegetables, in order to reduce the risk of precocious puberty.
    • Collection
  • Dietary pattern and precocious puberty risk in Chinese girls: a case-control study
    Abstract Background The role of dietary intake on precocious puberty remains unclear. This study aimed to investigate the association between the amount and frequency of dietary intake and the risk of precocious puberty in Chinese girls. Methods In this case-control study, we enrolled 185 precocious puberty girls and 185 age-matched controls. Their dietary intake was assessed through a semi-quantitative food frequency questionnaire. Their sociodemographic and lifestyle data were collected. The associations between dietary intake and risk of precocious puberty were assessed by conditional logistic regression models. Results After multivariate adjustment, consuming a higher amount of red meat was associated with higher precocious puberty risk (OR = 2.74, 95% CI: 1.25–6.02), while a higher frequency of fruit ( P for trend = 0.024) and amount of vegetable intake was associated with a lower risk of precocious puberty (P for trend = 0.002). The high vegetable and protein dietary pattern was significantly negatively associated with precocious puberty (OR = 0.78, 95% CI: 0.63–0.97), whereas the high animal food and fruits dietary pattern was remarkably positively associated with precocious puberty (OR = 1.36, 95% CI: 1.09–1.69), after adjusting for age and body mass index. Conclusions High vegetable and protein dietary pattern is a protective factor against precocious puberty, while high animal food and fruits dietary pattern is a risk factor for precocious puberty in Chinese girls. Attentions should be paid to a reasonable intake of red meat, eggs, and fruits in children’s daily diet, increase their intake of vegetables, in order to reduce the risk of precocious puberty.
    • Collection
  • On the matrix Heinz means and Rényi divergences
    Bhatia, Lim and Yamazaki obtained results on the norm minimality of the Kubo-Ando Heinz means of positive semidefinite matrices. Namely, they proved that |||A♯αB+A♯1−αB|||≤|||AαB1−α+A1−αBα|||,for α∈(0,1), in the case of the Schatten 1-norm or 2-norm. In this article, we refine these results via the matrix function in the definition of the Rényi divergence. We show that four different types of inequalities hold, under certain conditions, for Schatten 1- and 2-norms.
    • Dataset
  • On the matrix Heinz means and Rényi divergences
    Bhatia, Lim and Yamazaki obtained results on the norm minimality of the Kubo-Ando Heinz means of positive semidefinite matrices. Namely, they proved that |||A♯αB+A♯1−αB|||≤|||AαB1−α+A1−αBα|||,for α∈(0,1), in the case of the Schatten 1-norm or 2-norm. In this article, we refine these results via the matrix function in the definition of the Rényi divergence. We show that four different types of inequalities hold, under certain conditions, for Schatten 1- and 2-norms.
    • Dataset
  • The IUPAC Gold Book: A Compendium of Chemical Terminology
    The IUPAC Compendium of Chemical Terminology (the "Gold Book") is an aggregation of the formally defined terms in the International Union of Pure and Applied Chemistry's Recommendations published in the journal of Pure and Applied Chemistry. The talk highlights the status of the Gold Book and the current major update, machine access to the definitions via an API, and the inclusion of these terms in domain ontologies.
    • Slides
  • Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL.
    These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously. Each of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.
    • Dataset
  • Metabarcoding data processing using dada2 - rbcL
    Using the code in this file, we will process rbcL metabarcoding data using the Dada2 pipeline. (DATA REDUCTION STAGE). Our goal is to remove primers, and then use the DADA2 algorithm to assess read quality, denoise, and merge our sequences. Finally, we will assign our sequences to ASVs and assign these to taxonomy using DADA2 and a reference database.
    • Other
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