cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5495688
title: Cardiovascular Risk Factors Associated With the Metabolically Healthy Obese (MHO) Phenotype Compared to the Metabolically Unhealthy Obese (MUO) Phenotype in Children

description: <strong>Background:</strong> In pediatric age the prevalence of obesity is high. Obese children who do not have other risk factors than excess weight have been defined as "metabolically healthy obese" (MHO). <strong>Aim:</strong> The aim of this study is to evaluate, in a population of obese children, the prevalence of the MHO and "metabolically unhealthy obese" (MUO) phenotype. Furthermore, we evaluated the distribution of Uric Acid, HOMA index and Waist-Height ratio (W-Hr) in the MHO and MUO sub-groups and the impact of these non-traditional risk factors on the probability to be MUO. <strong>Methods:</strong>In 1201 obese children and adolescents [54% males, age (±SD) 11.9 (±3.0) years] weight, height, waist circumference, systolic (SBP) and diastolic (DBP) blood pressure, pubertal status, glucose, insulin, HDL cholesterol, triglycerides and Uric Acid serum values were assessed. MUO phenotype was defined as the presence of at least one of the following risk factors: SBP or DBP ≥ 90th percentile, glycaemia ≥ 100 mg/dl, HDL cholesterol &lt;40 mg/dl, triglycerides ≥100 mg/dl (children &lt;10 years) or ≥130 mg/dl (children ≥10 years). A multivariate logistic regression analysis was used to estimate the association between MUO phenotype and non-traditional cardiovascular risk factors. <strong>Results:</strong> The prevalence of the MUO status was high (61%). MUO subjects were more often male, older and pubertal (<em>p</em> &lt; 0.001). The levels of the three non-traditional risk factors were significantly higher in MUO children compared to MHO children (<em>p</em> &lt; 0.001) and all of them were independent predictors of the fact of being MUO [OR 1.41 (95% CI 1.24-1.69); 1.15 (95% CI 1.06-1.23) and 1.03 (95% CI1.01-1.05) for Uric Acid, HOMA index and W-Hr, respectively]. About 15% of MHO subjects had serum Uric Acid, HOMA index and W-Hr values within the highest quartile of the study population. <strong>Conclusion:</strong> The prevalence of MUO subjects in a large pediatric population is high and serum Uric Acid, HOMA index and W-Hr values are independent predictors of the probability of being MUO. A non-negligible percentage of subjects MHO has high values of all three non-traditional risk factors.
DOI: 10.5281/zenodo.5495687
title: Cardiovascular Risk Factors Associated With the Metabolically Healthy Obese (MHO) Phenotype Compared to the Metabolically Unhealthy Obese (MUO) Phenotype in Children

description: <strong>Background:</strong> In pediatric age the prevalence of obesity is high. Obese children who do not have other risk factors than excess weight have been defined as "metabolically healthy obese" (MHO). <strong>Aim:</strong> The aim of this study is to evaluate, in a population of obese children, the prevalence of the MHO and "metabolically unhealthy obese" (MUO) phenotype. Furthermore, we evaluated the distribution of Uric Acid, HOMA index and Waist-Height ratio (W-Hr) in the MHO and MUO sub-groups and the impact of these non-traditional risk factors on the probability to be MUO. <strong>Methods:</strong>In 1201 obese children and adolescents [54% males, age (±SD) 11.9 (±3.0) years] weight, height, waist circumference, systolic (SBP) and diastolic (DBP) blood pressure, pubertal status, glucose, insulin, HDL cholesterol, triglycerides and Uric Acid serum values were assessed. MUO phenotype was defined as the presence of at least one of the following risk factors: SBP or DBP ≥ 90th percentile, glycaemia ≥ 100 mg/dl, HDL cholesterol &lt;40 mg/dl, triglycerides ≥100 mg/dl (children &lt;10 years) or ≥130 mg/dl (children ≥10 years). A multivariate logistic regression analysis was used to estimate the association between MUO phenotype and non-traditional cardiovascular risk factors. <strong>Results:</strong> The prevalence of the MUO status was high (61%). MUO subjects were more often male, older and pubertal (<em>p</em> &lt; 0.001). The levels of the three non-traditional risk factors were significantly higher in MUO children compared to MHO children (<em>p</em> &lt; 0.001) and all of them were independent predictors of the fact of being MUO [OR 1.41 (95% CI 1.24-1.69); 1.15 (95% CI 1.06-1.23) and 1.03 (95% CI1.01-1.05) for Uric Acid, HOMA index and W-Hr, respectively]. About 15% of MHO subjects had serum Uric Acid, HOMA index and W-Hr values within the highest quartile of the study population. <strong>Conclusion:</strong> The prevalence of MUO subjects in a large pediatric population is high and serum Uric Acid, HOMA index and W-Hr values are independent predictors of the probability of being MUO. A non-negligible percentage of subjects MHO has high values of all three non-traditional risk factors.
DOI: 10.3886/e119200v1-95900
title: Is Economic Growth Good for Women's Agency?

description: <br>This paper analyzes the effect of economic growth on women's agency. Women's agency is measured across three dimensions: personal freedom, participation in household decisions, and perception of gender roles. The data were taken from three samples of a national-state representative survey on women's agency in Mexico. Using fixed effects at the state level, the study finds: (1) suggestive evidence that economic growth enhances women's personal freedom through the industrial and service sectors; (2) heterogeneous effects of economic growth on household decisions, the main beneficiaries of which are less educated and indigenous women; and (3) there is no evidence that economic growth affects the perception of gender roles. <br>
DOI: 10.3886/e111565v1-95901
title: Understanding gender gap further

description: To better understand the historical gender wage gap, we investigate the wages of Swedish compositors circa 1900 using a rich dataset of matched employer-employee information with national coverage. In line with previous findings, women earned about 70 percent of men’s wages on average. Individual and job characteristics explain much of this shortfall. Firm characteristics or firm fixed effects on average explain 17 percent of the gap, though the firm mattered more for the gender gap in big cities than elsewhere. Sorting across firms is thus an important part of understanding historical gender wage gaps. While most studies conclude that a significant portion of the gender gap is unexplained, suggesting labor market discrimination, this may result from a lack of information on the distribution of men and women across firms. <br>
description: Undersökning av tryckerier mm 1903, Avdelningen för arbetsstatistik, HII a:1 vol 1-6 samt HII a:2 vol 1-12, Kommerskollegiets arkiv, National Archives (Riksarkivet), Stockholm. <br>
DOI: 10.7910/dvn/x965tx
title: Capturing Marketing and Policy Practices of Online Food Retailers: A Codebook

description: This codebook was developed to assess the online food retail environment. Codebook items were selected in alignment with a conceptual framework from previous research describing the influence of the online food retail environment on consumer behavior, and included four domains: (1) retailer policies and practices; (2) food marketing; (3) website customization; and (4) equity and transparency. Some components captured across these domains include fees for use of the service, accepted forms of payment, delivery infrastructure (e.g., number of delivery windows offered), food and beverage marketing on home, search, and product pages, availability of nutrition information and assistance from the retailers, and disclosure of privacy policies. This codebook is intended to be used alongside a "real-world shopping experience" to capture all components and features of the online food retail environment. This codebook has been used to capture the policies and practices of 21 online grocery retailers, including the 20 top revenue generating grocers in the United States and the eight originally authorized retailers of the USDA's SNAP Online Purchasing Pilot (work currently under peer-review). The authors would also like to acknowledge the Healthy Food Retail Working Group – a group of researchers with expertise in healthy food retail convened by Healthy Eating Research, a national program of the Robert Wood Johnson Foundation, and the Nutrition and Obesity Policy Research and Evaluation Network (https://nopren.org/working_groups/healthy-food-retail/) - for their helpful review and feedback in the development of this coding protocol and the coding instrument.
DOI: 10.5523/bris.13hvkzqyg043r268ihsa8qz5xm
title: Melbourne Magnetic Data 1859

description: Uncalibrated magnetic data (declination and horizontal force) from Melbourne, Australia, during the Carrington space weather event of 1859.
DOI: 10.5517/ccdc.csd.cc27yftg
title: CCDC 2083876: Experimental Crystal Structure Determination

description: Related Article: Joonhyuk Kee, Kang Min Ok|2021|Angew.Chem.,Int.Ed.|60|20656|doi:10.1002/anie.202106812
DOI: 10.5517/ccdc.csd.cc27yfvh
title: CCDC 2083877: Experimental Crystal Structure Determination

description: Related Article: Joonhyuk Kee, Kang Min Ok|2021|Angew.Chem.,Int.Ed.|60|20656|doi:10.1002/anie.202106812
DOI: 10.5517/ccdc.csd.cc27yfwj
title: CCDC 2083878: Experimental Crystal Structure Determination

description: Related Article: Joonhyuk Kee, Kang Min Ok|2021|Angew.Chem.,Int.Ed.|60|20656|doi:10.1002/anie.202106812
DOI: 10.5517/ccdc.csd.cc27yfxk
title: CCDC 2083879: Experimental Crystal Structure Determination

description: Related Article: Joonhyuk Kee, Kang Min Ok|2021|Angew.Chem.,Int.Ed.|60|20656|doi:10.1002/anie.202106812
DOI: 10.5517/ccdc.csd.cc27yfyl
title: CCDC 2083880: Experimental Crystal Structure Determination

description: Related Article: Joonhyuk Kee, Kang Min Ok|2021|Angew.Chem.,Int.Ed.|60|20656|doi:10.1002/anie.202106812
DOI: 10.5517/ccdc.csd.cc27yfzm
title: CCDC 2083881: Experimental Crystal Structure Determination

description: Related Article: Joonhyuk Kee, Kang Min Ok|2021|Angew.Chem.,Int.Ed.|60|20656|doi:10.1002/anie.202106812
DOI: 10.5281/zenodo.3366686
title: Dataset of Pages from Early Printed Books with Multiple Font Groups

description: This dataset is composed of photos of various resolution of 35'623 pages of printed books dating from the 15th to the 18th century. Each page has been attributed by experts from one to five labels corresponding to the font groups used in the text, with two extra-classes for non-textual content and fonts not present in the following list: Antiqua, Bastarda, Fraktur, Gotico Antiqua, Greek, Hebrew, Italic, Rotunda, Schwabacher, and Textura. Note that to make downloading the dataset with slow or unreliable Internet connections easier, the dataset has been separated in several zip files. All zip files must be extracted in the same folder. The CSV files containing the labels should ideally be in the parent folder. The labels are provided in two CSV files, one for training/tuning font group recognition methods, and the second one for evaluation purposes. Where several pages come from the same book, a special care has been taken to have all of them in the same subset. The paper presenting this dataset in detail is "Dataset of Pages from Early Printed Books with Multiple Font Groups", accepted at the 5th International Workshop on Historical Document Imaging and Processing, Sydney, Australia. We would like to thank the British Library (London), Bayerische Staatsbibliothek München, Staatsbibliothek zu Berlin, Universitätsbibliothek Erlangen, Universitätsbibliothek Heidelberg, Staats- und Universitäatsbibliothek Göttingen, Stadt- und Universitätsbibliothek Köln, Württembergische Landesbibliothek Stuttgart and Herzog August Bibliothek Wolfenbüttel for the data they sent us and kindly allowed us to use for this public dataset.
description: {"references": ["Dataset of Pages from Early Printed Books with Multiple Font Groups"]}
DOI: 10.5281/zenodo.3366685
title: Dataset of Pages from Early Printed Books with Multiple Font Groups

description: This dataset is composed of photos of various resolution of 35'623 pages of printed books dating from the 15th to the 18th century. Each page has been attributed by experts from one to five labels corresponding to the font groups used in the text, with two extra-classes for non-textual content and fonts not present in the following list: Antiqua, Bastarda, Fraktur, Gotico Antiqua, Greek, Hebrew, Italic, Rotunda, Schwabacher, and Textura. Note that to make downloading the dataset with slow or unreliable Internet connections easier, the dataset has been separated in several zip files. All zip files must be extracted in the same folder. The CSV files containing the labels should ideally be in the parent folder. The labels are provided in two CSV files, one for training/tuning font group recognition methods, and the second one for evaluation purposes. Where several pages come from the same book, a special care has been taken to have all of them in the same subset. The paper presenting this dataset in detail is "Dataset of Pages from Early Printed Books with Multiple Font Groups", accepted at the 5th International Workshop on Historical Document Imaging and Processing, Sydney, Australia. We would like to thank the British Library (London), Bayerische Staatsbibliothek München, Staatsbibliothek zu Berlin, Universitätsbibliothek Erlangen, Universitätsbibliothek Heidelberg, Staats- und Universitäatsbibliothek Göttingen, Stadt- und Universitätsbibliothek Köln, Württembergische Landesbibliothek Stuttgart and Herzog August Bibliothek Wolfenbüttel for the data they sent us and kindly allowed us to use for this public dataset.
description: {"references": ["Dataset of Pages from Early Printed Books with Multiple Font Groups"]}
DOI: 10.5281/zenodo.5336289
title: DTOceanPlus Station Keeping Dataset

description: This dataset of station keeping components was produced as part of the DTOceanPlus project. This is used in the Station Keeping tool, and now can be used for other purposes. It comprises a range of mooring lines and drag anchors that are described either using Excel and JSON format. This dataset comprises a spreadsheet containing the data and a technical note outlining the process of collating data. For more information on the DTOceanPlus tools, visit <code>https://www.dtoceanplus.eu/</code><code>.</code>
DOI: 10.5281/zenodo.5336288
title: DTOceanPlus Station Keeping Dataset

description: This dataset of station keeping components was produced as part of the DTOceanPlus project. This is used in the Station Keeping tool, and now can be used for other purposes. It comprises a range of mooring lines and drag anchors that are described either using Excel and JSON format. This dataset comprises a spreadsheet containing the data and a technical note outlining the process of collating data. For more information on the DTOceanPlus tools, visit <code>https://www.dtoceanplus.eu/</code><code>.</code>
DOI: 10.5281/zenodo.5495732
title: Validity of lognormal distribution in analyzing laboratory test values

description: This is the supplementary data for our paper titled "Validity of lognormal distribution in analyzing laboratory test values" which was presented in Medinfo 2021. This ZIP file contains following files, * Materials.pdf<br> Data information. * Experiment1-DataRange.csv<br> Ranges of values for each laboratory test item. * Experiment1-distributons.xlsx<br> Full data of the Table 1. * Experiment1-figure1-all.pdf<br> Figure 1 (Estimated distributions using lnorm3) for all tests. * Experiment2-figure2-all.pdf<br> Figure 2 (Estimated distributions of four datasets using lnorm3) for all tests. This data was made under the approval by the Ethics Committee of the University of Tsukuba Hospital (permission number: R1-080). Anyone can use this data freely under the CC BY-ND ( https://creativecommons.org/licenses/by-nd/4.0/ ).
DOI: 10.5281/zenodo.5495731
title: Validity of lognormal distribution in analyzing laboratory test values

description: This is the supplementary data for our paper titled "Validity of lognormal distribution in analyzing laboratory test values" which was presented in Medinfo 2021. This ZIP file contains following files, * Materials.pdf<br> Data information. * Experiment1-DataRange.csv<br> Ranges of values for each laboratory test item. * Experiment1-distributons.xlsx<br> Full data of the Table 1. * Experiment1-figure1-all.pdf<br> Figure 1 (Estimated distributions using lnorm3) for all tests. * Experiment2-figure2-all.pdf<br> Figure 2 (Estimated distributions of four datasets using lnorm3) for all tests. This data was made under the approval by the Ethics Committee of the University of Tsukuba Hospital (permission number: R1-080). Anyone can use this data freely under the CC BY-ND ( https://creativecommons.org/licenses/by-nd/4.0/ ).
DOI: 10.14272/ruxpbsbyogwgmn-onegzznksa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (ethyl (E)-4-diazobut-2-enoate)
title: InChI=1S/C6H8N2O2/c1-2-10-6(9)4-3-5-8-7/h3-5H,2H2,1H3/b4-3+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (ppm) δ = 7.22 (dd, J = 15.2, 9.1 Hz, 1H, 3-H), 5.55 (d, J = 15.2 Hz, 1H, 2‑H), 4.83 (d, J = 9.0 Hz, 1H, 4-H), 4.18 (q, J = 7.1 Hz, 2H, CH2), 1.28 (t, J = 7.1 Hz, 3H, CH3).Unstable at room temperature, spectrum matches literature.
DOI: 10.14272/ruxpbsbyogwgmn-onegzznksa-n.1
title: ethyl (~{E})-4-diazobut-2-enoate
title: InChI=1S/C6H8N2O2/c1-2-10-6(9)4-3-5-8-7/h3-5H,2H2,1H3/b4-3+

description: This dataset contains experimental data from a sample (ethyl (E)-4-diazobut-2-enoate, InChI=1S/C6H8N2O2/c1-2-10-6(9)4-3-5-8-7/h3-5H,2H2,1H3/b4-3+). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.15129/4c342ff2-8f1f-4a69-aad4-ff2f93cff686
title: Data for: "Critical Ligand and Salt Effects in Organomagnesiate-Promoted 3,3-Disubstituted Phthalides Synthesis From 2-Iodobenzoate Derivatives"

description: This file contains NMR spectroscopic data and synthetic details for the compounds in the paper entitled: Critical Ligand and Salt Effects in Organomagnesiate-Promoted 3,3-Disubstituted Phthalides Synthesis From 2-Iodobenzoate Derivatives
DOI: 10.3886/e117501v1-95902
title: Micro urban water security indicators

description: Urban water systems involve complex interactions between ecological, social and economic factors. Integrated management approaches are needed to achieve multiple policy objectives in the sector and can be pursued at a range of spatial scales. Small-scale integrated water projects are both feasible and valuable in dynamic urban environments in developing countries. This paper develops a method for the prioritization of localities for integrated projects and applies this to the city of Jakarta. A set of indicators is defined following a systems approach, populated, displayed through a dashboard and mapped, and the relationships between indicators are analysed. Indicator-based prioritization allows policy-makers to guide resources to integrated projects to contribute effectively to the achievement of policy goals.
description: Water security indicators in Jakarta. Smallest Geographic Unit: Kelurahan (village)
DOI: 10.5281/zenodo.4008017
title: Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest

description: Logging—used for system events and security breaches to more informational yet essential aspects of software features—is pervasive. Given the high transactionality of today's software, logging effectiveness can be reduced by information overload. Log levels help alleviate this problem by correlating a priority to logs that can be later filtered. As software evolves, however, levels of logs documenting surrounding feature implementations may also require modification as features once deemed important may have decreased in urgency and vice-versa. We present an automated approach that assists developers in evolving levels of such (feature) logs. The approach, based on mining Git histories and manipulating a degree of interest (DOI) model, transforms source code to revitalize feature log levels based on the "interestingness" of the surrounding code. Built upon JGit and Mylyn, the approach is implemented as an Eclipse IDE plug-in and evaluated on 18 Java projects with ~3 million lines of code and ~4K log statements. Our tool successfully analyzes 99.26% of logging statements, increases log level distributions by ~20%, identifies logs manually modified with a recall of ~80% and a level-direction match rate of ~87%, and increases the focus of logs in bug fix contexts ~83% of the time. Moreover, pull (patch) requests were integrated into large and popular open-source projects. The results indicate that the approach is promising in assisting developers in evolving feature log levels.
description: Support for this project was provided by PSC-CUNY Award #61793-00 49 and #63801-00 51, jointly funded by The Professional Staff Congress and The City University of New York.
DOI: 10.5281/zenodo.3698983
title: Automated Evolution of Feature Logging Statement Levels Using Git Histories and Degree of Interest

description: Logging—used for system events and security breaches to more informational yet essential aspects of software features—is pervasive. Given the high transactionality of today's software, logging effectiveness can be reduced by information overload. Log levels help alleviate this problem by correlating a priority to logs that can be later filtered. As software evolves, however, levels of logs documenting surrounding feature implementations may also require modification as features once deemed important may have decreased in urgency and vice-versa. We present an automated approach that assists developers in evolving levels of such (feature) logs. The approach, based on mining Git histories and manipulating a degree of interest (DOI) model, transforms source code to revitalize feature log levels based on the "interestingness" of the surrounding code. Built upon JGit and Mylyn, the approach is implemented as an Eclipse IDE plug-in and evaluated on 18 Java projects with ~3 million lines of code and ~4K log statements. Our tool successfully analyzes 99.26% of logging statements, increases log level distributions by ~20%, identifies logs manually modified with a recall of ~80% and a level-direction match rate of ~87%, and increases the focus of logs in bug fix contexts ~83% of the time. Moreover, pull (patch) requests were integrated into large and popular open-source projects. The results indicate that the approach is promising in assisting developers in evolving feature log levels.
description: Support for this project was provided by PSC-CUNY Award #61793-00 49 and #63801-00 51, jointly funded by The Professional Staff Congress and The City University of New York.
DOI: 10.34740/kaggle/dsv/2597959
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6084/m9.figshare.16587074
title: Predict joint angle of body parts based on sequence pattern recognition source and dataset

description: Predict joint angle of body parts based on sequence pattern recognition tester source and dataset:to test models you have to put all csv and npy files to data folder and select joint number in modelTester.py line 10<br>xtrain[1-12].npy contain real-world image OpenPose output andYtrain.csv is its label.xntrain[0-10].npy contain 3d human model image OpenPose output andYctrain.csv is its label.xtest[1-3].npy contain real-world test image OpenPose output andYtest.csv is its label.
DOI: 10.34740/kaggle/ds/1577011
title: ASL Alphabet Synthetic