University of North Florida Showcase

1. Brake light project raw data 2. Extracted data for statistical analysis

*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].

Flexibility data from the four sessions are included.

This release includes the labeled data, digitization report, method keys, and partial reference keys as part of the IUPAC Digitized pKa Dataset. For more information, please review the Data Digitization Report attached in this repository. Our validation process is ongoing and will continue; please be advised that a few errors and inconsistencies may still exist. The digitized books in this collection include: Serjeant: International Union of Pure and Applied Chemistry, E. P Serjeant and Boyd Dempsey. Ionisation Constants of Organic Acids in Aqueous Solution; Oxford/Pergamon, 1979 (Oxford IUPAC chemical data series) Perrin: International Union of Pure and Applied Chemistry, DD Perrin. Dissociation Constants of Organic Bases in Aqueous Solution; Butterworths, 1965 Perrin Supplement: International Union of Pure and Applied Chemistry, DD Perrin. Dissociation Constants of Organic Bases in Aqueous Solution, Supplement; Butterworths, 1972 Updates from v2.2a: Further updates to report for accuracy and clarity

This release includes the labeled data, digitization report, method keys, and partial reference keys as part of the IUPAC Digitized pKa Dataset. For more information, please review the Data Digitization Report attached in this repository. Our validation process is ongoing and will continue; please be advised that a few errors and inconsistencies may still exist. The digitized books in this collection include: Serjeant: International Union of Pure and Applied Chemistry, E. P Serjeant and Boyd Dempsey. Ionisation Constants of Organic Acids in Aqueous Solution; Oxford/Pergamon, 1979 (Oxford IUPAC chemical data series) Perrin: International Union of Pure and Applied Chemistry, DD Perrin. Dissociation Constants of Organic Bases in Aqueous Solution; Butterworths, 1965 Perrin Supplement: International Union of Pure and Applied Chemistry, DD Perrin. Dissociation Constants of Organic Bases in Aqueous Solution, Supplement; Butterworths, 1972 Updates from v2.2: Update report for wording + stylistic changes

Participants received stool collection kits prior to their clinic visits and were instructed to collect three stool samples on three separate days on two timepoints (week 0 and week 8). Each stool collection kit contained three flushable stool collection sheets, three DNA/RNA Shield Fecal Collection tubes (Zymo Research, Irvine, CA) one biohazard bag, and detailed instructions for stool collection. Participants were asked to record the date and time of stool collection on each tube and store the tubes at room temperature until their clinic visit appointments. The time between collection of stool samples and the clinic visits ranged between one and six days. DNA was extracted from the frozen stool samples with the DNeasy PowerLyzer PowerSoil Kit (Qiagen, Germantown, MD, USA) per manufacturer’s protocol. A NanoDrop One (Thermo Fisher Scientific, Madison, WI, USA) was used to measure DNA concentration and diluted to 10 ng/μL. Next-generation sequencing of the V4 region of the 16S rRNA gene was performed. Amplicon PCR was performed on the V4 region of 16S rRNA using the forward (5′-GTGCCAGCMGCCGCGGTAA-3′) and reverse (5′-GACTACHVGGGTWTCTAAT-3′) primers. PCR amplicons were barcoded and pooled in equal concentrations using the SequalPrep Normalization Plate Kit (Invitrogen, Carlsbad, CA, USA). qPCR was used to quantify and consolidate libraries using the Kappa Library Quantification Kit (Roche, Indianapolis, IN, USA), and the quality of the library will be determined by an Agilent 2100 Bioanalyzer (Agilent, Santa Clara, CA, USA). Positive and negative controls were sequenced for quality control. The ZymoBIOMICS™ Microbial Community Standard (Zymo Research, Irvine, CA, USA) were used to provide a commercial community DNA for a positive control, and DNA extraction and PCR amplification provided the negative controls. Sequencing was performed in a pair-end modality on the Illumina MiSeq 500 platform rendering 2 x 150 bp paired-end sequences (Illumina, San Diego, CA, USA)). Sequencing reads after quality control were denoised using Deblur integrated with QIIME2 (2022.02 released), alignment against a 16S reference database (SILVA v132), and clustering into amplicon sequence variants (ASVs) with 100% identity threshold. A total of 515 fecal samples were extracted for DNA and processed into QIIME2 pipeline. After filtering and denoising, 484 samples were retained for microbiome analysis. All biological samples were processed and stored at -70C until analysis. Blood was collected in two 8-mL tubes and left at room temperature for 30 minutes before centrifugation at 25C for 10 minutes at 1400 rpm. Serum was transferred to 1.5 mL cryogenic tubes in 1-mL aliquots. C-reactive protein (CRP) (RandD Systems, Minneapolis, MN - Cat#DCRP00), Angiopoetin-like protein 4 (ANGPTL4) also known as Fiaf (RandD Systems, Minneapolis, MN - Cat#DY3485), Oxidized low density lipoprotein receptor 1 (LOX-1) (RandD Systems, Minneapolis, MN – Cat#DY1798) and trimethylamine oxide (TMAO) (AFG Bioscience, Northbrook, IL - Cat#EK715704) were measured with commercial ELISA kits. Lipopolysaccharide Binding Protein (LBP) was measured by a Pierce LAL chromogenic endotoxin quantitation kit (Cat#88282, ThermoFisher Scientific, Waltham, MA). All analyses were conducted in the laboratory of Dr. Arikawa at the University of North Florida.

This release includes the labeled data, digitization report, method keys, and partial reference keys as part of the IUPAC Digitized pKa Dataset. For more information, please review the Data Digitization Report attached in this repository. Our validation process is ongoing and will continue; please be advised that a few errors and inconsistencies may still exist. The digitized books in this collection include: Serjeant: International Union of Pure and Applied Chemistry, E. P Serjeant and Boyd Dempsey. Ionisation Constants of Organic Acids in Aqueous Solution; Oxford/Pergamon, 1979 (Oxford IUPAC chemical data series) Perrin: International Union of Pure and Applied Chemistry, DD Perrin. Dissociation Constants of Organic Bases in Aqueous Solution; Butterworths, 1965 Perrin Supplement: International Union of Pure and Applied Chemistry, DD Perrin. Dissociation Constants of Organic Bases in Aqueous Solution, Supplement; Butterworths, 1972 Updates from v2.1: The phenylglycines, perrin3262-3281, despite their names as presented in the text, appear to correspond to the N-phenylglycine forms instead. Their SMILES and InChI have been updated. Fixed erroneous pKaH1/pKa1 labels Serjeant 2291, 2457-2458, 5279, 6373 Perrin 125, 1255, 1948, 1968, 2026, 2700, 3027, 3029, 3040-3051, 3070, 3075, 3076, 3191, 3246, 3231, 3283 Perrin_supp 5111, 5188, 5189, 5291-5293, 6185, 6307, 6438, 6653, 6685, 6689, 6700, 6713, 7491, 7563, 7564, 7592, 7728, 7730, 7737, 7753, 8132, 8259-8261

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

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.

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.