cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6154598.v3
title: Data from a systematic literature review to determine the relationship between HBsAg (prevalence of HBV infection) and anti-HBc (exposure to HBV infection) in African populations.

description: This file set contains the metadata for an analysis of HBV sero-epidemiology data for Africa. We set out to investigate the relationship between prevalence of hepatitis B virus (HBV) infection and prevalence of exposure to infection.<br>We used HBsAg as a marker of active infection and anti-HBc as a marker of HBV exposure (including active infection, and exposed/cleared infection).<br>We gathered data from a literature review of PubMed and Web of Science searching for either “HBV antibody”, “antiHBc”, “HB core antibody”, “HBV exposure” or, “HBV prevalence” AND “Africa” or [Name of specific country]. Only papers published after the introduction of universal HBV vaccination in Africa in 1995 were included. Identified articles were reviewed to ensure both HBsAg and corresponding HBcAb prevalence for a given population were included. <br><br>Ethics permission was not required for this study,<br><b>Meta-data table: Data extracted from studies identified in a systematic literature search for studies including anti-HBc and HBsAg prevalence data for African countries published between 1995-2019. </b>A total of 96 studies spanning 39 African countries were identified in the search, generating 109 unique data points representing independent cohorts. A PMID or DOI is provided for each manuscript. When a PMID or DOI could not be found (n=2), ISI or ISSN was provided. A key and notes on the table is given at the foot of the table.<br> <b>Quality assessment table: formal assessment of the 96 studies included in the meta-analysis.</b> Studies were assessed using established guidelines from the Johanna Briggs Institute for the critical appraisal of the scientific literature (1). Complete metadata for the manuscript are available in Table 1. All studies included in this analysis assessed the prevalence of HBsAg and anti-HBc. The sample size required for each was different. Sample size was assessed using guidelines established by Naing et al, (2006) (2). Notes on the studies are given at the foot of the table.<br> References1. Munn Z, MClinSc SM, Lisy K, Riitano D, Tufanaru C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. International Journal of Evidence-Based Healthcare. 2015;13(3):147–53.2. Naing L, Winn T, Rusli BN. Practical Issues in Calculating the Sample Size for Prevalence Studies. Archives of Orofacial Sciences. 2006;1:9–14.
DOI: 10.6084/m9.figshare.6154586.v1
title: Więckowska et al 2018- Open Data.pdf

description: Repository of raw data for Wieckowska et al., 2018
DOI: 10.6084/m9.figshare.6154580
title: SEM Images of Nanofibers; Biodegradation Test of Nanofibers; Contact angle Measurement; FTIR Analysis; TGA analysis from Polycaprolactone nanofibres loaded with 20(<i>S</i>)-protopanaxadiol for <i>in vitro</i> and <i>vivo</i> anti-tumour activity study

description: The original SEM images of nanofibers, including SEM figures and diameter date of different samples.;The original SEM images of PCL/20%PPD nanofiber before and after immersed into the PBS for several days.;The original data of Contact angle measurement include figures in different contact time and time data of different samples.;The original data of FTIR spectra of PCL nanofibers, free PPD and PCL/PPD nanofibers. ;The original data of TGA thermograms of PCL and PCL /PPD nanofibers.
DOI: 10.6084/m9.figshare.6154457
title: Maternal levels of endocrine disrupting chemicals in the first trimester of pregnancy are associated with infant cord blood DNA methylation

description: Endocrine disrupting chemicals (EDCs) pose a public health risk through disruption of normal biological processes. Identifying toxicoepigenetic mechanisms of developmental exposure-induced effects for EDCs, such as phthalates or bisphenol A (BPA), is essential. Here, we investigate whether maternal exposure to EDCs is predictive of infant DNA methylation at candidate gene regions. In the Michigan Mother-Infant Pairs (MMIP) cohort, DNA was extracted from cord blood leukocytes for methylation analysis by pyrosequencing (n = 116) and methylation changes related to first trimester levels of 9 phthalate metabolites and BPA. Growth and metabolism-related genes selected for methylation analysis included imprinted (<i>IGF2</i>, <i>H19</i>) and non-imprinted (<i>PPARA</i>, <i>ESR1</i>) genes along with LINE-1 repetitive elements. Findings revealed decreases in methylation of LINE-1, <i>IGF2</i>, and <i>PPARA</i> with increasing phthalate concentrations. For example, a log unit increase in ΣDEHP corresponded to a 1.03 [95% confidence interval (CI): −1.83, −0.22] percentage point decrease in <i>PPARA</i> methylation. Changes in DNA methylation were also inversely correlated with <i>PPARA</i> gene expression determined by RT-qPCR (r = −0.34, <i>P</i> = 0.02), thereby providing evidence in support of functional relevance. A sex-stratified analysis of EDCs and DNA methylation showed that some relationships were female-specific. For example, urinary BPA exposure was associated with a 1.35 (95%CI: −2.69, −0.01) percentage point decrease in <i>IGF2</i> methylation and a 1.22 (95%CI: −2.27, −0.16) percentage point decrease in <i>PPARA</i> methylation in females only. These findings add to a body of evidence suggesting epigenetically labile regions may provide a conduit linking early exposures with disease risk later in life and that toxicoepigenetic susceptibility may be sex specific.
DOI: 10.6084/m9.figshare.6154457.v1
title: Maternal levels of endocrine disrupting chemicals in the first trimester of pregnancy are associated with infant cord blood DNA methylation

description: Endocrine disrupting chemicals (EDCs) pose a public health risk through disruption of normal biological processes. Identifying toxicoepigenetic mechanisms of developmental exposure-induced effects for EDCs, such as phthalates or bisphenol A (BPA), is essential. Here, we investigate whether maternal exposure to EDCs is predictive of infant DNA methylation at candidate gene regions. In the Michigan Mother-Infant Pairs (MMIP) cohort, DNA was extracted from cord blood leukocytes for methylation analysis by pyrosequencing (n = 116) and methylation changes related to first trimester levels of 9 phthalate metabolites and BPA. Growth and metabolism-related genes selected for methylation analysis included imprinted (<i>IGF2</i>, <i>H19</i>) and non-imprinted (<i>PPARA</i>, <i>ESR1</i>) genes along with LINE-1 repetitive elements. Findings revealed decreases in methylation of LINE-1, <i>IGF2</i>, and <i>PPARA</i> with increasing phthalate concentrations. For example, a log unit increase in ΣDEHP corresponded to a 1.03 [95% confidence interval (CI): −1.83, −0.22] percentage point decrease in <i>PPARA</i> methylation. Changes in DNA methylation were also inversely correlated with <i>PPARA</i> gene expression determined by RT-qPCR (r = −0.34, <i>P</i> = 0.02), thereby providing evidence in support of functional relevance. A sex-stratified analysis of EDCs and DNA methylation showed that some relationships were female-specific. For example, urinary BPA exposure was associated with a 1.35 (95%CI: −2.69, −0.01) percentage point decrease in <i>IGF2</i> methylation and a 1.22 (95%CI: −2.27, −0.16) percentage point decrease in <i>PPARA</i> methylation in females only. These findings add to a body of evidence suggesting epigenetically labile regions may provide a conduit linking early exposures with disease risk later in life and that toxicoepigenetic susceptibility may be sex specific.
DOI: 10.6084/m9.figshare.6154457.v2
title: Maternal levels of endocrine disrupting chemicals in the first trimester of pregnancy are associated with infant cord blood DNA methylation

description: Endocrine disrupting chemicals (EDCs) pose a public health risk through disruption of normal biological processes. Identifying toxicoepigenetic mechanisms of developmental exposure-induced effects for EDCs, such as phthalates or bisphenol A (BPA), is essential. Here, we investigate whether maternal exposure to EDCs is predictive of infant DNA methylation at candidate gene regions. In the Michigan Mother-Infant Pairs (MMIP) cohort, DNA was extracted from cord blood leukocytes for methylation analysis by pyrosequencing (n = 116) and methylation changes related to first trimester levels of 9 phthalate metabolites and BPA. Growth and metabolism-related genes selected for methylation analysis included imprinted (<i>IGF2</i>, <i>H19</i>) and non-imprinted (<i>PPARA</i>, <i>ESR1</i>) genes along with LINE-1 repetitive elements. Findings revealed decreases in methylation of LINE-1, <i>IGF2</i>, and <i>PPARA</i> with increasing phthalate concentrations. For example, a log unit increase in ΣDEHP corresponded to a 1.03 [95% confidence interval (CI): −1.83, −0.22] percentage point decrease in <i>PPARA</i> methylation. Changes in DNA methylation were also inversely correlated with <i>PPARA</i> gene expression determined by RT-qPCR (r = −0.34, <i>P</i> = 0.02), thereby providing evidence in support of functional relevance. A sex-stratified analysis of EDCs and DNA methylation showed that some relationships were female-specific. For example, urinary BPA exposure was associated with a 1.35 (95%CI: −2.69, −0.01) percentage point decrease in <i>IGF2</i> methylation and a 1.22 (95%CI: −2.27, −0.16) percentage point decrease in <i>PPARA</i> methylation in females only. These findings add to a body of evidence suggesting epigenetically labile regions may provide a conduit linking early exposures with disease risk later in life and that toxicoepigenetic susceptibility may be sex specific.
DOI: 10.6084/m9.figshare.6154445
title: Microsatellite primers for the cryptic species of the moss <i>Hamatocaulis vernicosus</i> and methods for their quick barcoding

description: Microsatellite primers for the cryptic species of the moss <i>Hamatocaulis vernicosus</i> and methods for their quick barcoding
DOI: 10.6084/m9.figshare.6154445.v1
title: Microsatellite primers for the cryptic species of the moss <i>Hamatocaulis vernicosus</i> and methods for their quick barcoding

description: Microsatellite primers for the cryptic species of the moss <i>Hamatocaulis vernicosus</i> and methods for their quick barcoding
DOI: 10.3886/e116941
title: Data and Code for: Quality-adjusted house price indexes

description: The constant-quality assumption in repeat-sales house price indexes (HPIs) introduces a significant time-varying attribute bias. The direction, magnitude, and source of the bias varies throughout the market cycle and across metropolitan statistical areas (MSAs). We mitigate the bias using a data-driven textual analysis approach that identifies and includes salient text from real estate agent remarks in the repeat-sales estimation. Absent the text, MSA-level HPIs are biased downwards by as much as 7% during the financial crisis and upwards by as much as 20% after the crisis. The geographic concentration of the bias magnifies its effect on local HPIs.
description: Data preparation code provided. Multiple Listings Service (MLS) data is proprietary but is available for purchase from the MLS. See README file for more information.
description: Transactions sold on the Multiple Listings Service platform across 9 MSAs. Smallest Geographic Unit: Property
DOI: 10.3886/e116941v1
title: Data and Code for: Quality-adjusted house price indexes

description: The constant-quality assumption in repeat-sales house price indexes (HPIs) introduces a significant time-varying attribute bias. The direction, magnitude, and source of the bias varies throughout the market cycle and across metropolitan statistical areas (MSAs). We mitigate the bias using a data-driven textual analysis approach that identifies and includes salient text from real estate agent remarks in the repeat-sales estimation. Absent the text, MSA-level HPIs are biased downwards by as much as 7% during the financial crisis and upwards by as much as 20% after the crisis. The geographic concentration of the bias magnifies its effect on local HPIs.
description: Data preparation code provided. Multiple Listings Service (MLS) data is proprietary but is available for purchase from the MLS. See README file for more information.
description: Transactions sold on the Multiple Listings Service platform across 9 MSAs. Smallest Geographic Unit: Property
DOI: 10.3886/e117402
title: Data and Code for The DNA of New Exporters: Spin-Offs and FDI at the Extensive Margin of Trade

description: Other than that new exporters account for a large part of aggregate export growth, we know little else. We document that aggregate export growth in Chile is driven by only a few new exporters. These exporters are new business entities, operate new plants, and behave much like experienced exporters: they start large and have high survival rates. Moreover, 70% of these "new firms" are owned by existing businesses and are likely the by-product of either domestic spin-offs or foreign direct investment (24%). By focusing on the average new exporter the existing models of new exporter dynamics miss these key features of export growth.
DOI: 10.3886/e117402v1
title: Data and Code for The DNA of New Exporters: Spin-Offs and FDI at the Extensive Margin of Trade

description: Other than that new exporters account for a large part of aggregate export growth, we know little else. We document that aggregate export growth in Chile is driven by only a few new exporters. These exporters are new business entities, operate new plants, and behave much like experienced exporters: they start large and have high survival rates. Moreover, 70% of these "new firms" are owned by existing businesses and are likely the by-product of either domestic spin-offs or foreign direct investment (24%). By focusing on the average new exporter the existing models of new exporter dynamics miss these key features of export growth.
DOI: 10.3886/e105583v4-43770
title: Apparent Per Capita Alcohol Consumption: National, State, and Regional Trends 1977-2018

description: Version 4 release notes: <br>Adds 2018 data.Please note that this file has some revisions on the pre-2018 data because the report changed those values, not due to any changes in my code. <br>Version 3 release notes: <br>Adds 2017 data.<br>Version 2 release notes: <br>Makes columns showing the number of beers, glasses of wine, shots of liquor, and total drinks consumed based on the amount of ethanol consumed for each category that was already included.<br><br>This data set contains the per capita (persons aged 14+) consumption of ethanol (in gallons) for each state, Washington D.C., and totals for census regions and the United States as a whole, for the years 1977-2018. This includes total ethanol consumed as well as consumption by three categories: beer, wine, and shots of liquor ("spirits"). The PDF includes a method to convert the ethanol variables into total drinks of each type. I used this method to create columns for how many beers, glasses of wine, shots of liquor, and total drinks were consumed.<br><br>The PDF doesn't say how many ounces of fluid is in each drink type (except for the number_of_drinks_total variable) so I used the information provided by the National Institute on Alcohol Abuse and Alcoholism here - https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/what-standard-drink. Please note that the number_of_drinks_total variable is based on the conversion formula provided, not by adding the individual drink categories together and therefore will be slightly different than that way of measuring it. <br><br>This data comes from a report by Dr. Megan E. Slater and Dr. Hillel R. Alpert at the National Institute on Alcohol Abuse and Alcoholism (downloaded here https://pubs.niaaa.nih.gov/publications/surveillance115/CONS18.htm). That report is one of the files available to download and is included as it explains the methodology the two authors used for the data. I am not affiliated with the original report at all. If you do use this data please also cite the original report.<br><br>For the code used to scrape and clean the data, and the tests to ensure my code is accurate, please see my GitHub file here: https://github.com/jacobkap/alcohol. When using this data consider that it is rate per capita (persons aged 14+) based on the population in that state so states that experience lots of visitors (e.g. Nevada and Washington D.C.) may have incorrect numbers. <br>
description: Persons aged 14 and over living in the United States<br>. Smallest Geographic Unit: State, Region, Country
DOI: 10.3886/e120841
title: pragmatic truth

description: In crisis situations, people put a premium on relevant information. Two experiments show that messages with clear decision implications and known factual errors are preferred over factually correct messages with ambiguous decision implications and more likely to be shared. This challenges a fundamental norm of cooperative conversational conduct, namely, not to say something one believes to be false. We propose a distinction between pragmatic and literal truth; literal truth pertains to the veracity of the message-as-a-whole, whereas pragmatic truth pertains to the accuracy of its decision-relevant implications. When literal and pragmatic truth conflict, speakers and receivers privilege pragmatic truth over literal truth. Implications for norms of conversational conduct and the accuracy of crisis communication are discussed.
DOI: 10.6084/m9.figshare.6154433
title: Acropolis: Novel Approach to Single-Pin Depletion Calculations Using Stochastic Optimization

description: Knowledge of the radionuclide inventory in spent nuclear fuel is important for back-end operations such as fuel transport and storage, but it is also relevant for the postclosure safety case for a deep geological repository. Extensive depletion calculations using neutron transport solvers can be time consuming and resource intensive in the case of characterization of a large number of fuel assemblies. Issues of computational demand are further amplified when the inventory of only a single pin from the assembly is desired. A new approach to speeding up the computational time without significant loss of accuracy is proposed in this work, consisting of simplification of the modeled geometry by means of stochastic optimization. The development of this novel methodology, the Acropolis methodology, is described in detail in this paper. Additionally, extensive benchmark and validation exercises were carried out to present and discuss the advantages and limitations of the proposed method.
DOI: 10.6084/m9.figshare.6154433.v2
title: Acropolis: Novel Approach to Single-Pin Depletion Calculations Using Stochastic Optimization

description: Knowledge of the radionuclide inventory in spent nuclear fuel is important for back-end operations such as fuel transport and storage, but it is also relevant for the postclosure safety case for a deep geological repository. Extensive depletion calculations using neutron transport solvers can be time consuming and resource intensive in the case of characterization of a large number of fuel assemblies. Issues of computational demand are further amplified when the inventory of only a single pin from the assembly is desired. A new approach to speeding up the computational time without significant loss of accuracy is proposed in this work, consisting of simplification of the modeled geometry by means of stochastic optimization. The development of this novel methodology, the Acropolis methodology, is described in detail in this paper. Additionally, extensive benchmark and validation exercises were carried out to present and discuss the advantages and limitations of the proposed method.
DOI: 10.6084/m9.figshare.6154433.v1
title: Acropolis: Novel Approach to Single-Pin Depletion Calculations Using Stochastic Optimization

description: Knowledge of the radionuclide inventory in spent nuclear fuel is important for back-end operations such as fuel transport and storage, but it is also relevant for the postclosure safety case for a deep geological repository. Extensive depletion calculations using neutron transport solvers can be time consuming and resource intensive in the case of characterization of a large number of fuel assemblies. Issues of computational demand are further amplified when the inventory of only a single pin from the assembly is desired. A new approach to speeding up the computational time without significant loss of accuracy is proposed in this work, consisting of simplification of the modeled geometry by means of stochastic optimization. The development of this novel methodology, the Acropolis methodology, is described in detail in this paper. Additionally, extensive benchmark and validation exercises were carried out to present and discuss the advantages and limitations of the proposed method.
DOI: 10.6084/m9.figshare.6154424
title: Settlement pattern data for primary states from Organizational complexity and demographic scale in primary states

description: The relationship between organizational complexity and demographic scale is an enduring research problem at the intersection of the natural and social sciences and has far reaching implications for the study of social evolution, particularly the emergence and collapse of complex social organizations such as chiefdoms, states and empires. Anthropological models of social evolution universally assume that population growth plays a critical role in the development of organizational complexity; however, the relationship between organizational complexity and demographic scale has not been formalized and cross-culturally validated. There is a rich yet unsystematized body of diachronic organizational and demographic data describing the evolution of organizational complexity in 10 archaeologically known cases of primary state formation. Using this dataset, this essay proposes and tests a complex network model that describes state societies as discrete, self-similar, hierarchical social networks. The model accurately describes how organizational complexity and population scale in all cases. The complex network architecture of state societies suggests that further advances in our understanding of modern social organization may be found by a deeper investigation of the role of human nature in the evolution of human societies.
DOI: 10.6084/m9.figshare.6154424.v1
title: Settlement pattern data for primary states from Organizational complexity and demographic scale in primary states

description: The relationship between organizational complexity and demographic scale is an enduring research problem at the intersection of the natural and social sciences and has far reaching implications for the study of social evolution, particularly the emergence and collapse of complex social organizations such as chiefdoms, states and empires. Anthropological models of social evolution universally assume that population growth plays a critical role in the development of organizational complexity; however, the relationship between organizational complexity and demographic scale has not been formalized and cross-culturally validated. There is a rich yet unsystematized body of diachronic organizational and demographic data describing the evolution of organizational complexity in 10 archaeologically known cases of primary state formation. Using this dataset, this essay proposes and tests a complex network model that describes state societies as discrete, self-similar, hierarchical social networks. The model accurately describes how organizational complexity and population scale in all cases. The complex network architecture of state societies suggests that further advances in our understanding of modern social organization may be found by a deeper investigation of the role of human nature in the evolution of human societies.