cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5701612
title: Supplemental Tables-Murine neonatal oxidant lung injury: NRF2-dependent predisposition to adulthood respiratory viral infection and protection by maternal antioxidant

description: This is a part of manuscript submitted for the special issue of <em>Antioxidants</em> (ISSN 2076-3921). This special issue belongs to the section "Health Outcomes of Antioxidants and Oxidative Stress". Table S1: Prenatal sulforaphane-altered lung genes in postnatal air-exposed <em>Nrf2<sup>+/+</sup></em> mice (n = 523, moderated t-Test, <em>p </em>&lt; = 0.01), Table S2: Prenatal sulforaphane-altered 918 lung genes in postnatal air-exposed <em>Nrf2<sup>-/-</sup></em> mice (n = 918, moderated t-Test, <em>p </em>&lt; =0.01), Table S3: Prenatal sulforaphane-neonatal hyperoxia interaction 258 genes in <em>Nrf2<sup>+/+</sup></em> mice (2-Way ANOVA, <em>p </em>&lt; =0.01), Table S4: Prenatal sulforaphane and neonatal hyperoxia interaction 239 genes in <em>Nrf2<sup>-/-</sup></em> mice (2-Way ANOVA, <em>p </em>&lt; = 0.01), Table S5: Prenatal sulforaphane-modulated genes in <em>Nrf2<sup>+/+</sup></em> placenta (t-Test unpaired p-value <em>p </em>&lt; = 0.05 ), Table S6: Prenatal sulforaphane-modulated genes in <em>Nrf2<sup>-/-</sup></em> placenta (t-Test unpaired p-value <em>p </em>&lt; =0.05 ).
DOI: 10.5281/zenodo.5564909
title: Supplemental Tables-Murine neonatal oxidant lung injury: NRF2-dependent predisposition to adulthood respiratory viral infection and protection by maternal antioxidant

description: This is a part of manuscript submitted for the special issue of <em>Antioxidants</em> (ISSN 2076-3921). This special issue belongs to the section "Health Outcomes of Antioxidants and Oxidative Stress". Table S1: Prenatal sulforaphane-altered lung genes in postnatal air-exposed <em>Nrf2<sup>+/+</sup></em> mice (n = 523, moderated t-Test, <em>p </em>&lt; = 0.01), Table S2: Prenatal sulforaphane-altered 918 lung genes in postnatal air-exposed <em>Nrf2<sup>-/-</sup></em> mice (n = 918, moderated t-Test, <em>p </em>&lt; =0.01), Table S3: Prenatal sulforaphane-neonatal hyperoxia interaction 258 genes in <em>Nrf2<sup>+/+</sup></em> mice (2-Way ANOVA, <em>p </em>&lt; =0.01), Table S4: Prenatal sulforaphane and neonatal hyperoxia interaction 239 genes in <em>Nrf2<sup>-/-</sup></em> mice (2-Way ANOVA, <em>p </em>&lt; = 0.01), Table S5: Prenatal sulforaphane-modulated genes in <em>Nrf2<sup>+/+</sup></em> placenta (t-Test unpaired p-value <em>p </em>&lt; = 0.05 ), Table S6: Prenatal sulforaphane-modulated genes in <em>Nrf2<sup>-/-</sup></em> placenta (t-Test unpaired p-value <em>p </em>&lt; =0.05 ).
DOI: 10.6084/m9.figshare.17010096
title: Additional file 1 of Hyperoxia during extracorporeal cardiopulmonary resuscitation for refractory cardiac arrest is associated with severe circulatory failure and increased mortality

description: Additional file 1:Supplementary Table 1. Study data set.
DOI: 10.6084/m9.figshare.17010096.v1
title: Additional file 1 of Hyperoxia during extracorporeal cardiopulmonary resuscitation for refractory cardiac arrest is associated with severe circulatory failure and increased mortality

description: Additional file 1:Supplementary Table 1. Study data set.
DOI: 10.6084/m9.figshare.17010210
title: Additional file 1 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 1: Sample selection data.
DOI: 10.6084/m9.figshare.17010210.v1
title: Additional file 1 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 1: Sample selection data.
DOI: 10.6084/m9.figshare.17010213.v1
title: Additional file 2 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 2: Sample metadata.
DOI: 10.6084/m9.figshare.17010216
title: Additional file 3 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 3: Fecal shedding intensity data.
DOI: 10.6084/m9.figshare.17010213
title: Additional file 2 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 2: Sample metadata.
DOI: 10.6084/m9.figshare.17010216.v1
title: Additional file 3 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 3: Fecal shedding intensity data.
DOI: 10.6084/m9.figshare.17010222
title: Additional file 5 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 5: Significantly contributing ASV.
DOI: 10.6084/m9.figshare.17010222.v1
title: Additional file 5 of Classification and prediction of Mycobacterium Avium subsp. Paratuberculosis (MAP) shedding severity in cattle based on young stock heifer faecal microbiota composition using random forest algorithms

description: Additional file 5: Significantly contributing ASV.
DOI: 10.6084/m9.figshare.17010276
title: Additional file 1 of Analysis of pH and electrolytes in blood and ruminal fluid, including kidney function tests, in sheep undergoing long-term surgical procedures

description: Additional file 1. Electrolytes in the blood of sheep during 9 h of anaesthesia. Electrolytes in the blood of sheep taken during 9 h of anaesthesia reveal no significant imbalances. Data expressed as mean ± standard deviation or median [interquartile range].
DOI: 10.6084/m9.figshare.17010276.v1
title: Additional file 1 of Analysis of pH and electrolytes in blood and ruminal fluid, including kidney function tests, in sheep undergoing long-term surgical procedures

description: Additional file 1. Electrolytes in the blood of sheep during 9 h of anaesthesia. Electrolytes in the blood of sheep taken during 9 h of anaesthesia reveal no significant imbalances. Data expressed as mean ± standard deviation or median [interquartile range].
DOI: 10.6084/m9.figshare.17010279
title: Additional file 2 of Analysis of pH and electrolytes in blood and ruminal fluid, including kidney function tests, in sheep undergoing long-term surgical procedures

description: Additional file 2. Electrolytes in the urine of sheep during 7 h of anaesthesia. Electrolytes in the urine of sheep, taken during 7 h of anaesthesia reveal no significant imbalances. Data expressed as median [interquartile range].
DOI: 10.6084/m9.figshare.17010279.v1
title: Additional file 2 of Analysis of pH and electrolytes in blood and ruminal fluid, including kidney function tests, in sheep undergoing long-term surgical procedures

description: Additional file 2. Electrolytes in the urine of sheep during 7 h of anaesthesia. Electrolytes in the urine of sheep, taken during 7 h of anaesthesia reveal no significant imbalances. Data expressed as median [interquartile range].
DOI: 10.6084/m9.figshare.17010306
title: Additional file 1 of Analysis of transcriptomic data sets supports the role of IL-6 in NETosis and immunothrombosis in severe COVID-19

description: Additional file 1.
DOI: 10.6084/m9.figshare.17010306.v1
title: Additional file 1 of Analysis of transcriptomic data sets supports the role of IL-6 in NETosis and immunothrombosis in severe COVID-19

description: Additional file 1.
DOI: 10.3886/e153001v1-101580
title: COVID Behavioral Health Data

description: Electronic data collection through a Qualtrics survey link, was utilized to explore pathways of COVID-19 behavioral health and quality of life. This cross-sectional study included responses from April 2020-July 2020 from adults ages 18–65. Participants gave virtual consent by continuing the online survey and were informed they could skip any questions or stop at any time—there was no compensation for time. Tulane University Institutional Review Board approved study protocol.
DOI: 10.5519/qd.1ujpxn3t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.6084/m9.figshare.16998709
title: Supplementary Material for: A Comparison of Epidemiological Characteristics of Central Nervous System Tumours in China and Globally from 1990 to 2019

description: <b><i>Background:</i></b> Despite their great disease burden, there have been few studies on the epidemiology of central nervous system tumours (CNSTs) in China. We used the latest data updated by GBD to analyse the trends of incidence, mortality, and disability-adjusted life years (DALYs) for CNSTs in China versus globally. <b><i>Methods:</i></b> Epidemiological data on CNSTs were extracted from GBD 2019. We used Joinpoint regression analysis to calculate the magnitude and direction of the trends and the age-period-cohort method to analyse the age, period, and cohort effects of the trend. <b><i>Results:</i></b> From 1990 to 2019, the 106.52% increase in Chinese incident cases was higher than the global increase (94.35%). The 67.32% increase in cancer deaths and 16.03% increase in DALYs were lower than the global increases (cancer death: 76.36%; DALYs: 40.06%). The age-standardized incidence rates (ASIRs) in China were higher than the global ASIRs, and the increase in China was higher than that globally. Although the age-standardized mortality rates and age-standardized DALY rates in China were higher, their increases in China were less than those globally. Both in China and globally, the number and incidence, mortality, and DALYs by age group showed a bimodal distribution (younger than 5 years and older), and the peak in the older age group showed a backwards trend. The proportion of incident cases, cancer deaths, and DALYs also increased in the older age group. In the age-period-cohort model, the local drifts in the older age group were above zero. <b><i>Conclusions:</i></b> The burden of CNSTs is very serious in China, and we should pay attention to the key populations, early diagnosis technology, improvements in medical technology, and ways to reduce medical costs. We believe our results could help policymakers allocate resources efficiently to reduce the burden of CNSTs.
DOI: 10.6084/m9.figshare.16998709.v1
title: Supplementary Material for: A Comparison of Epidemiological Characteristics of Central Nervous System Tumours in China and Globally from 1990 to 2019

description: <b><i>Background:</i></b> Despite their great disease burden, there have been few studies on the epidemiology of central nervous system tumours (CNSTs) in China. We used the latest data updated by GBD to analyse the trends of incidence, mortality, and disability-adjusted life years (DALYs) for CNSTs in China versus globally. <b><i>Methods:</i></b> Epidemiological data on CNSTs were extracted from GBD 2019. We used Joinpoint regression analysis to calculate the magnitude and direction of the trends and the age-period-cohort method to analyse the age, period, and cohort effects of the trend. <b><i>Results:</i></b> From 1990 to 2019, the 106.52% increase in Chinese incident cases was higher than the global increase (94.35%). The 67.32% increase in cancer deaths and 16.03% increase in DALYs were lower than the global increases (cancer death: 76.36%; DALYs: 40.06%). The age-standardized incidence rates (ASIRs) in China were higher than the global ASIRs, and the increase in China was higher than that globally. Although the age-standardized mortality rates and age-standardized DALY rates in China were higher, their increases in China were less than those globally. Both in China and globally, the number and incidence, mortality, and DALYs by age group showed a bimodal distribution (younger than 5 years and older), and the peak in the older age group showed a backwards trend. The proportion of incident cases, cancer deaths, and DALYs also increased in the older age group. In the age-period-cohort model, the local drifts in the older age group were above zero. <b><i>Conclusions:</i></b> The burden of CNSTs is very serious in China, and we should pay attention to the key populations, early diagnosis technology, improvements in medical technology, and ways to reduce medical costs. We believe our results could help policymakers allocate resources efficiently to reduce the burden of CNSTs.
DOI: 10.5281/zenodo.5701690
title: MESA models with magnetic braking

description: Output history files of MESA models run for Gossage et al. 2021 (MESA models with magnetic braking), and associated MESA input files (inlist templates and modified run_star_extras.f90 source code).
DOI: 10.5281/zenodo.5701720
title: MESA models with magnetic braking

description: Output history files of MESA models run for Gossage et al. 2021 (MESA models with magnetic braking), and associated MESA input files (inlist templates and modified run_star_extras.f90 source code).
DOI: 10.5517/ccdc.csd.cc26n2kj
title: CCDC 2045087: Experimental Crystal Structure Determination

description: Related Article: Edgar González-Rodríguez, Brenda Guzmán-Juárez, Montserrat Miranda-Olvera, María del Pilar Carreón-Castro, Mauricio Maldonado-Domínguez, Rafael Arcos-Ramos, Norberto Farfán, Rosa Santillan|2022|Spectrochim.Acta,Part A|267|120520|doi:10.1016/j.saa.2021.120520
DOI: 10.5517/ccdc.csd.cc26n2ml
title: CCDC 2045089: Experimental Crystal Structure Determination

description: Related Article: Edgar González-Rodríguez, Brenda Guzmán-Juárez, Montserrat Miranda-Olvera, María del Pilar Carreón-Castro, Mauricio Maldonado-Domínguez, Rafael Arcos-Ramos, Norberto Farfán, Rosa Santillan|2022|Spectrochim.Acta,Part A|267|120520|doi:10.1016/j.saa.2021.120520
DOI: 10.5517/ccdc.csd.cc27j0ph
title: CCDC 2070976: Experimental Crystal Structure Determination

description: Related Article: Pranjalee Yadav, Rohit Kumar, S. Srikrishna, Anoop Kumar Pandey, Lokman H. Choudhury, Chandan Upadhyay, Vinod P. Singh|2021|Spectrochim.Acta,Part A|267|120552|doi:10.1016/j.saa.2021.120552
DOI: 10.5517/ccdc.csd.cc27kxyp
title: CCDC 2072813: Experimental Crystal Structure Determination

description: Related Article: Titouan Desrues, Jérémy Merad, Daniela Andrei, Jean-Marc Pons, Jean-Luc Parrain, Maurice Médebielle, Adrien Quintard, Cyril Bressy|2021|Angew.Chem.,Int.Ed.|60|24924|doi:10.1002/anie.202107041
DOI: 10.5517/ccdc.csd.cc27ngzc
title: CCDC 2075263: Experimental Crystal Structure Determination

description: Related Article: Jiangqun Cheng, Yuan-He Li, Jun Huang, Zhen Yang|2021|Org.Lett.|23|8465|doi:10.1021/acs.orglett.1c03187
DOI: 10.5517/ccdc.csd.cc27nt7z
title: CCDC 2075581: Experimental Crystal Structure Determination

description: Related Article: Jiangqun Cheng, Yuan-He Li, Jun Huang, Zhen Yang|2021|Org.Lett.|23|8465|doi:10.1021/acs.orglett.1c03187
DOI: 10.5517/ccdc.csd.cc27nz30
title: CCDC 2075732: Experimental Crystal Structure Determination

description: Related Article: Jiangqun Cheng, Yuan-He Li, Jun Huang, Zhen Yang|2021|Org.Lett.|23|8465|doi:10.1021/acs.orglett.1c03187
DOI: 10.5517/ccdc.csd.cc27zlys
title: CCDC 2084996: Experimental Crystal Structure Determination

description: Related Article: Merten Grupe, Pit Boden, Patrick Di Martino-Fumo, Xin Gui, Cecilia Bruschi, Roumany Israil, Marcel Schmitt, Martin Nieger, Markus Gerhards, Wim Klopper, Christoph Riehn, Claudia Bizzarri, Rolf Diller|2021|Chem.-Eur.J.|27|15252|doi:10.1002/chem.202102760
DOI: 10.5517/ccdc.csd.cc27znb7
title: CCDC 2085039: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Nurcan Doğan, İlker Cabac, Yunus Zorlu|2022|Polyhedron|211|115557|doi:10.1016/j.poly.2021.115557
DOI: 10.5517/ccdc.csd.cc27znhd
title: CCDC 2085044: Experimental Crystal Structure Determination

description: Related Article: Derya Davarcı, Nurcan Doğan, İlker Cabac, Yunus Zorlu|2022|Polyhedron|211|115557|doi:10.1016/j.poly.2021.115557
DOI: 10.5517/ccdc.csd.cc281frj
title: CCDC 2086757: Experimental Crystal Structure Determination

description: Related Article: Tian-Zhen Liu, Xiao-ling Cui, Wen-Long Sun, Jun-Ying Miao, Bao-Xiang Zhao, Zhao-Min Lin|2021|Anal.Chim.Acta|1189|339225|doi:10.1016/j.aca.2021.339225
DOI: 10.5517/ccdc.csd.cc289hx0
title: CCDC 2094512: Experimental Crystal Structure Determination

description: Related Article: Neal Hickey, Veronica Iuliano, Carmen Talotta, Margherita De Rosa, Annunziata Soriente, Carmine Gaeta, Placido Neri, Silvano Geremia|2021|Cryst.Growth Des.|21|6357|doi:10.1021/acs.cgd.1c00828
DOI: 10.5517/ccdc.csd.cc289hy1
title: CCDC 2094513: Experimental Crystal Structure Determination

description: Related Article: Neal Hickey, Veronica Iuliano, Carmen Talotta, Margherita De Rosa, Annunziata Soriente, Carmine Gaeta, Placido Neri, Silvano Geremia|2021|Cryst.Growth Des.|21|6357|doi:10.1021/acs.cgd.1c00828
DOI: 10.5517/ccdc.csd.cc289hz2
title: CCDC 2094514: Experimental Crystal Structure Determination

description: Related Article: Neal Hickey, Veronica Iuliano, Carmen Talotta, Margherita De Rosa, Annunziata Soriente, Carmine Gaeta, Placido Neri, Silvano Geremia|2021|Cryst.Growth Des.|21|6357|doi:10.1021/acs.cgd.1c00828
DOI: 10.5517/ccdc.csd.cc289j04
title: CCDC 2094515: Experimental Crystal Structure Determination

description: Related Article: Neal Hickey, Veronica Iuliano, Carmen Talotta, Margherita De Rosa, Annunziata Soriente, Carmine Gaeta, Placido Neri, Silvano Geremia|2021|Cryst.Growth Des.|21|6357|doi:10.1021/acs.cgd.1c00828
DOI: 10.5517/ccdc.csd.cc28hm0f
title: CCDC 2100374: Experimental Crystal Structure Determination

description: Related Article: Yong-Fang Han, Ning-Ning Zhang, Li Li, Liu-Di Xin, Kong-Gang Qu|2021|Dyes Pigm.|197|109917|doi:10.1016/j.dyepig.2021.109917
DOI: 10.5517/ccdc.csd.cc28krwh
title: CCDC 2102447: Experimental Crystal Structure Determination

description: Related Article: Shuling Yu, Chao Hong, Zhanxiang Liu, Yuhong Zhang|2021|Org.Lett.|23|8359|doi:10.1021/acs.orglett.1c03095
DOI: 10.5517/ccdc.csd.cc28lz51
title: CCDC 2103603: Experimental Crystal Structure Determination

description: Related Article: Jun Fan, Ming-Chung Yang, Ming-Der Su, Cheuk-Wai So|2021|Inorg.Chem.|60|16065|doi:10.1021/acs.inorgchem.1c02541
DOI: 10.25345/c5rk4q
title: MassIVE MSV000088379 - GNPS neem leave ethanol extracts
title: This is lc-ms/ms data of ethanol extract of neem leaves
DOI: 10.5281/zenodo.4554677
title: Magnetospheric Source and Electric Current System Associated With Intense SAIDs

description: The text files are RCM-I simulation output. The file names specify simulation time (format: hhmmss). The stored quantities are, "I","J","COLAT","ALOCT","MLT", "BNDLOC","XMIN","YMIN","FTV","BMIN", "V", "BIRK_fromV(NH)", "RCM_T_p","RCM_T_e", "RCM_N_p","RCM_N_e","rho_plsp","P(RCM),nPa", "Ey","Ex", "Erho", "Ephi", "Vtotx","Vtoty","Vr","Ve""PV_gamma","PEDLAM","PEDPSI","HALL","EFLUX"
DOI: 10.5281/zenodo.4554676
title: Magnetospheric Source and Electric Current System Associated With Intense SAIDs

description: The text files are RCM-I simulation output. The file names specify simulation time (format: hhmmss). The stored quantities are, "I","J","COLAT","ALOCT","MLT", "BNDLOC","XMIN","YMIN","FTV","BMIN", "V", "BIRK_fromV(NH)", "RCM_T_p","RCM_T_e", "RCM_N_p","RCM_N_e","rho_plsp","P(RCM),nPa", "Ey","Ex", "Erho", "Ephi", "Vtotx","Vtoty","Vr","Ve""PV_gamma","PEDLAM","PEDPSI","HALL","EFLUX"
DOI: 10.5281/zenodo.5701663
title: 2007-2017 Quarterly Ecuadorian National Employment Survey

description: This repository contains the raw data from the Ecuadorian employment surveys from 2007-06 to 2017-12. PDF are questionnaires. Most datasets are in .SPPSS format (.sav). Each database was downloaded and unzipped as-is from the institutional website of INEC ECUADOR on November 15, 2021, using the "banco de informacion estadistica": https://aplicaciones3.ecuadorencifras.gob.ec/sbi-war/
DOI: 10.5281/zenodo.5701662
title: 2007-2017 Quarterly Ecuadorian National Employment Survey

description: This repository contains the raw data from the Ecuadorian employment surveys from 2007-06 to 2017-12. PDF are questionnaires. Most datasets are in .SPPSS format (.sav). Each database was downloaded and unzipped as-is from the institutional website of INEC ECUADOR on November 15, 2021, using the "banco de informacion estadistica": https://aplicaciones3.ecuadorencifras.gob.ec/sbi-war/
DOI: 10.6084/m9.figshare.17011691
title: Supplementary Material for: Transplant Ureteral Stenosis after Renal Transplantation: Risk Factor Analysis

description: <b><i>Introduction:</i></b> The results of kidney transplants have improved dramatically in recent years, leading to reduced morbidity and mortality. Despite continuous improvements, urological complications occur at a rate of 2.6%–15%. Ureteral stenosis of graft ureters is the most common complication, with a probability of 0.5%–6.3%. This study aimed to determine the incidence of ureteral stenosis after kidney transplantation and identify risk factors that distinguish transplant patients with and without ureteral stenosis. <b><i>Methods:</i></b> This study retrospectively analyzed patients who had undergone kidney transplantation at the Department of Urology of the Friedrich-Alexander University Erlangen-Nuremberg between 2001 and 2015. Forty-seven patients developed ureteral stenosis during the operation. Most of the ureteral stenosis cases occurred in the first 4 months after transplantation. Kaplan-Meier analysis and the log-rank test were used to calculate the cumulative risk, and the Mann-Whitney U test was used nonparametrically. The significance level was set at <i>p</i> &lt; 0.05. <b><i>Results:</i></b> Statistical analysis showed that residual diuresis (<i>p</i> = 0.008), cold ischemia time (CIT) (<i>p</i> = 0.040), the body mass index (<i>p</i> = 0.027), and donor serum creatinine value (<i>p</i> = 0.039) showed a significantly different distribution between recipients with or without ureteral stenosis after kidney transplantation. In multivariate Cox’s regression modeling, residual diuresis and the donor serum creatinine level were identified as the only independent predictors of patients’ stenosis-free survival. <b><i>Conclusion:</i></b> Urological complications not diagnosed and treated in time endanger the success of kidney transplantation. After evaluating the kidney transplantation data of the patients at the Transplant Center Erlangen-Nuremberg from 2001 to 2015, residual diuresis, CIT, the body mass index, and donor serum creatinine value were found to influence the development of ureteral stenosis.