cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13507921
title: Predictors of mortality in invasive pneumococcal disease: a meta-analysis

description: To assess risk factors for mortality in invasive pneumococcal disease (IPD). We conducted a systemic literature search in January 2019. The main outcome measure included death within 30 days after diagnosis of IPD. The study protocol was registered in PROSPERO (CRD42019120189). After reviewing 2514 potentially relevant records, remaining 190 articles were included in the analysis. A total of 228,782 IPD patients were identified and the mortality rate was 17.2% in the included articles. No significant evidence of publication bias was found according to the funnel plot and Egger’s test (<i>t</i> = 1.464, <i>p</i> = 0.145). Male sex, older age, alcohol abuse, previous tuberculosis, meningitis, hospital acquired infections, multilobar infiltrate or effusion, Pitt bacteremia score≥4, Pneumonia Severity Index≥4, clinical conditions requiring intensive care, underlying clinical conditions, disease caused by serotypes 3, 6B, 9 N, 10A, 11A, 16 F, 17 F, 19, 19 F, 22 F, 23A, 23 F, 31 and 35 F, previous antibiotic use, inappropriate initial antibiotic therapy, penicillin resistance, and vancomycin use during the course of treatment were predicators of 30-day mortality. This meta-analysis highlights important risk factors for IPD-related mortality, many of which may be targeted through preventive measures.
DOI: 10.6084/m9.figshare.13507921.v1
title: Predictors of mortality in invasive pneumococcal disease: a meta-analysis

description: To assess risk factors for mortality in invasive pneumococcal disease (IPD). We conducted a systemic literature search in January 2019. The main outcome measure included death within 30 days after diagnosis of IPD. The study protocol was registered in PROSPERO (CRD42019120189). After reviewing 2514 potentially relevant records, remaining 190 articles were included in the analysis. A total of 228,782 IPD patients were identified and the mortality rate was 17.2% in the included articles. No significant evidence of publication bias was found according to the funnel plot and Egger’s test (<i>t</i> = 1.464, <i>p</i> = 0.145). Male sex, older age, alcohol abuse, previous tuberculosis, meningitis, hospital acquired infections, multilobar infiltrate or effusion, Pitt bacteremia score≥4, Pneumonia Severity Index≥4, clinical conditions requiring intensive care, underlying clinical conditions, disease caused by serotypes 3, 6B, 9 N, 10A, 11A, 16 F, 17 F, 19, 19 F, 22 F, 23A, 23 F, 31 and 35 F, previous antibiotic use, inappropriate initial antibiotic therapy, penicillin resistance, and vancomycin use during the course of treatment were predicators of 30-day mortality. This meta-analysis highlights important risk factors for IPD-related mortality, many of which may be targeted through preventive measures.
DOI: 10.5281/zenodo.5928932
title: Increased artificiality trend driven by an inter-basin water transfer on the Zayandeh-rud River floodplain

description: <strong>Khosro Fazelpoor</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript, <strong>Vanesa Martínez- Fernandez</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript, <strong>Saleh Yousefi</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript, <strong>Diego García de Jalon</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript.
DOI: 10.5281/zenodo.5928931
title: Increased artificiality trend driven by an inter-basin water transfer on the Zayandeh-rud River floodplain

description: <strong>Khosro Fazelpoor</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript, <strong>Vanesa Martínez- Fernandez</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript, <strong>Saleh Yousefi</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript, <strong>Diego García de Jalon</strong>: contributed to the design and implementation of the research, Formal analysis and to the writing of the manuscript.
DOI: 10.48370/ofd/yzespq/i9bqii
title: Betula pubescens_pąki - ekstrakt metanolowo-wodny.pdf

description: :unav
DOI: 10.48370/ofd/yzespq
title: Betula pubescens_pąki - ekstrakt metanolowo-wodny

description: ekstrakt metanolowo-wodny
DOI: 10.6084/m9.figshare.18865103.v4
title: The relationship of age, sex and prothrombin time related to the severity and mortality of COVID-19 patients with diabetes mellitus: a systematic review and meta analysis

description: "The relationship of age, sex and prothrombin time related to the severity and mortality of COVID-19 patients with diabetes mellitus" is a meta-analysis study that uses PRISMA guidelines with PRISMA flow chart and PRISMA checklist. The flowchart describes the process of data collection and extraction that contains details of the number of articles. PRISMA checklist contain 27-item checklist used to improve transparency in systematic reviews. These items cover all aspects of the manuscript, including title, abstract, introduction, methods, results, discussion, and funding.
DOI: 10.34740/kaggle/dsv/3119460
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.18865103.v5
title: The relationship of age, sex and prothrombin time related to the severity and mortality of COVID-19 patients with diabetes mellitus: a systematic review and meta analysis

description: "The relationship of age, sex and prothrombin time related to the severity and mortality of COVID-19 patients with diabetes mellitus" is a meta-analysis study that uses PRISMA guidelines with PRISMA flow chart and PRISMA checklist. The flowchart describes the process of data collection and extraction that contains details of the number of articles. PRISMA checklist contain 27-item checklist used to improve transparency in systematic reviews. These items cover all aspects of the manuscript, including title, abstract, introduction, methods, results, discussion, and funding.
DOI: 10.48370/ofd/idulcz
title: Peniophora rufa (Fr.: Fr.) Boidin, 401

description: Fungarium Makromycetes
DOI: 10.34740/kaggle/dsv/3119495
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5833452
title: Genetic and epigenetic differentiation across intertidal gradients in the foundation plant Spartina alterniflora

description: This record contains supplementary information for the article "Genetic and epigenetic differentiation across intertidal gradients in the foundation plant Spartina alterniflora". It contains the barcodes (barcodes.txt), the reference contigs (contigs.fasta.gz), the annotation of the reference contigs (mergedAnnot.csv.gz), the SNPs (snps.vcf.gz), the methylation data (methylation.txt.gz), and the experimental design (design.txt). All data are unfiltered. All reads are available on SRA (PRJNA798549). Note that the barcode sequences and the control nucleotide were already removed from the demultiplexed files (hence, for each sample, reads are also split into "watson" and "crick" based on the control nucleotide).
DOI: 10.5281/zenodo.5833451
title: Genetic and epigenetic differentiation across intertidal gradients in the foundation plant Spartina alterniflora

description: This record contains supplementary information for the article "Genetic and epigenetic differentiation across intertidal gradients in the foundation plant Spartina alterniflora". It contains the barcodes (barcodes.txt), the reference contigs (contigs.fasta.gz), the annotation of the reference contigs (mergedAnnot.csv.gz), the SNPs (snps.vcf.gz), the methylation data (methylation.txt.gz), and the experimental design (design.txt). All data are unfiltered. All reads are available on SRA (PRJNA798549). Note that the barcode sequences and the control nucleotide were already removed from the demultiplexed files (hence, for each sample, reads are also split into "watson" and "crick" based on the control nucleotide).
DOI: 10.6084/m9.figshare.19096244
title: Dataset Campbell JSO et al 2022

description: This MS Excel file contains dataset and codebook for Campbell JSO et at's SORT IT paper on AMR (Sierra Leone). Year 2022.
DOI: 10.6084/m9.figshare.17278619
title: Pick up and dispose of pollutants from water via temperature-responsive micellar copolymers on magnetite nanorobots

description: Dataset related to Fig. 2, 3 and 5
DOI: 10.6084/m9.figshare.17278619.v2
title: Magnetic Nanorobots with Thermoresponsive Molecular Hands to Pick Up and Dispose Pollutants

description: Dataset related to Fig. 2, 3 and 5
DOI: 10.5281/zenodo.5919450
title: 1 km Monthly Average Temperature Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.5281/zenodo.5919449
title: 1 km Monthly Average Temperature Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.5281/zenodo.5919448
title: 1 km Monthly Maximum Temperature Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.5281/zenodo.5919447
title: 1 km Monthly Maximum Temperature Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.5281/zenodo.5919423
title: 1 km Monthly Minimum Temperature Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.5281/zenodo.5919422
title: 1 km Monthly Minimum Temperature Dataset for China from 1952 to 2019 (ChinaClim_time-series)

description: ChinaClim_time-series is a monthly temperatures and precipitation dataset in China for the period of 1952-2019 of 1km spatial resolution, the data was generated by superimposing monthly anomaly surface and baseline climatology surface (ChinaClim_baseline) based on climatologically aided interpolation (CAI). The scale factor of the data is 0.1.
DOI: 10.6084/m9.figshare.18319238
title: Number of total publications and percentage of open access publications for Dimensions and WoS, by country, 2015-2019

description: This is the underlying dataset used for the country analysis regarding the percentage of papers in Dimensions and Web of Science (WoS), published between 2015 and 2019 that are open access (OA), regardless of mode of OA.<br>A paper was assigned a country affiliation based on the affiliation of the first author of a paper, thus each paper is only counted once, regardless whether the paper had multiple coauthors.<br>Each row represents the data for a country. A country only appears once (i.e., each row is unique).<br><b>Column headings:</b><b>iso_alpha_2 </b>= the ISO alpha 2 country code of the country<b>country </b>= the name of the country as stated either in Dimensions or WoS.<b>world_bank_region_2021 </b>= <b>pub_wos </b>= total number of papers (document type articles and reviews) indexed in WoS, published from 2015 to 2019<b>oa_pers_wos </b>= Percentage of pub_wos that are OA<b>pub_dim </b>= total number of papers (document type journal articles) indexed in Dimensions, published from 2015 to 2019<b>oa_pers_dim </b>= Percentage of pub_dim that are OA<b>relative_diff </b>= the relative difference between oa_pers_dim and oa_pers_wos using the following equation: ((x-y))/((x+y) ), with x representing the percentage of papers for the country in the Dimensions dataset that are OA, and y representing the percentage of papers for the country in the WoS dataset that are OA. In cases of "N/A" in a cell, a division by 0 occurred.<br><b>Data availability</b>Restriction apply to both datasets used to generate the aggregate data. The Web of Science data is owned by Clarivate Analytics. To obtain the bibliometric data in the same manner as authors (i.e. by purchasing them), readers can contact Clarivate Analytics at the following URL: https://clarivate.com/webofsciencegroup/solutions/web-of-science/contact-us/. The Dimensions data is owned by Digital Science, which has a programme that provides no cost access to its data. It can be accessed at: https://dimensions.ai/data_access.
DOI: 10.6084/m9.figshare.19027103
title: Environmental assessment of companies and organizations in Russia in the context of Industry 4.0_Averianova D.A. (Table 1-13).docx

description: The <b>purpose</b> of this study is to assess the level of ecological sustainability of public organizations, large, medium and small companies in Russia in terms of workspace and process shaping in the context of digitalization. The <b>research methods</b> of this paper contain a synthesis of theoretical and empirical analysis. In the theoretical part a comprehensive study of sources on the topic of ecological sustainability of Russian companies and public organizations in the conditions of Industry 4.0 was conducted. The empirical part of the study is based on the results of a survey of the workspace of employees of various Russian companies and state organizations. At this point the following <b>conclusions</b> can be drawn: the majority of Russian companies and organizations are not interested in complying with environmental norms and rules, the main focus is on the indicators of revenue and margins, etc. The author of the study believes that companies in Russia should more actively introduce digital technologies, as well as attract financing from the global market with the help of such increasingly popular tool as “green bonds”.<b></b>
DOI: 10.6084/m9.figshare.19027103.v1
title: Environmental assessment of companies and organizations in Russia in the context of Industry 4.0_Averianova D.A. (Table 1-13).docx

description: The <b>purpose</b> of this study is to assess the level of ecological sustainability of public organizations, large, medium and small companies in Russia in terms of workspace and process shaping in the context of digitalization. The <b>research methods</b> of this paper contain a synthesis of theoretical and empirical analysis. In the theoretical part a comprehensive study of sources on the topic of ecological sustainability of Russian companies and public organizations in the conditions of Industry 4.0 was conducted. The empirical part of the study is based on the results of a survey of the workspace of employees of various Russian companies and state organizations. At this point the following <b>conclusions</b> can be drawn: the majority of Russian companies and organizations are not interested in complying with environmental norms and rules, the main focus is on the indicators of revenue and margins, etc. The author of the study believes that companies in Russia should more actively introduce digital technologies, as well as attract financing from the global market with the help of such increasingly popular tool as “green bonds”.<b></b>
DOI: 10.48370/ofd/xhfcgw
title: Peniophora rufa (Fr.: Fr.) Boidin, 3177

description: Fungarium Makromycetes
DOI: 10.5281/zenodo.5929617
title: Biociden Excel sheet

description: In this excel file, biocide properties are listed for a number of biocides that have relevance for the Netherlands. The excel file belongs to the Report (in Dutch) : <strong>KIWK Ketenverkenner Notitie meetstrategie Biociden</strong> Overwegingen en criteria, 2022.
DOI: 10.5281/zenodo.4737383
title: Reproduction package for the paper "Completing the X-ray view of the recently discovered supernova remnant G54.41+0.03"

description: This is a basic reproduction package for the paper "Completing the X-ray view of the recently discovered supernova remnant G54.41+0.03" by V. Domček et al. (2021). It provides raw, intermediate and final data sets, including figures and scripts to allow the reproduction of the work performed in this paper. It also lists software used and data archives containing the public observational data. An open access version of the paper can be found at https://arxiv.org/abs/
DOI: 10.5281/zenodo.4737382
title: Reproduction package for the paper "Completing the X-ray view of the recently discovered supernova remnant G54.41+0.03"

description: This is a basic reproduction package for the paper "Completing the X-ray view of the recently discovered supernova remnant G54.41+0.03" by V. Domček et al. (2021). It provides raw, intermediate and final data sets, including figures and scripts to allow the reproduction of the work performed in this paper. It also lists software used and data archives containing the public observational data. An open access version of the paper can be found at https://arxiv.org/abs/
DOI: 10.5281/zenodo.5929686
title: gtyr

description: thetcvfdbse
DOI: 10.5281/zenodo.5929685
title: gtyr

description: thetcvfdbse
DOI: 10.48370/ofd/g6vquk
title: Peniophora rufomarginata (Pers.) Bourdot Galzin, 690

description: Fungarium Makromycetes
DOI: 10.21942/uva.14557902.v2
title: Data set belonging to Beyens et al. (in press). Social media use and adolescents’ well-being: Developing a typology of person-specific effect patterns

description: This data set belongs to:<br>Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (in press). Social media use and adolescents' well-being: Developing a typology of person-specific effect patterns. <i>Communication Research</i>. https://doi.org/10.1177/00936502211038196<br><br>More information about the study is available on the Open Science Framework (OSF), including the preregistration of the design and sampling plan (https://osf.io/327cx), the preregistration of the hypotheses and analysis plan (https://osf.io/692h7), and all syntax files (https://osf.io/nf32w).<br>For more information, please contact the authors at i.beyens@uva.nl or info@project-awesome.nl.<br>
DOI: 10.25403/upresearchdata.19095971
title: Diazotrophic behaviour in a non-sterile bioreactor: the effect of O2-availability

description: The research data set contains behavioral data from a diazotrophic consortium. Concentration profiles and reactor conditions were recorded.
DOI: 10.25403/upresearchdata.19095971.v1
title: Diazotrophic behaviour in a non-sterile bioreactor: the effect of O2-availability

description: The research data set contains behavioral data from a diazotrophic consortium. Concentration profiles and reactor conditions were recorded.
DOI: 10.17632/trwsnm2fmr.1
title: Hematopoietic Tumors in a Mouse Model of X-linked Chronic Granulomatous Disease after Lentiviral Vector-Mediated Gene Therapy

description: Data for the paper Hernandez et al 2021 https://doi.org/10.1016/j.ymthe.2020.09.030
DOI: 10.48370/ofd/1by1a9
title: Peniophora rufomarginata (Pers.) Bourdot Galzin, 1073

description: Fungarium Makromycetes
DOI: 10.5517/ccdc.csd.cc1yxm6p
title: CCDC 1814963: Experimental Crystal Structure Determination

description: Related Article: Lifeng Yang, Xili Cui, Zhaoqiang Zhang, Qiwei Yang, Zongbi Bao, Qilong Ren, Huabin Xing|2018|Angew.Chem.,Int.Ed.|57|13145|doi:10.1002/anie.201807652
description: Related Article: Qingju Wang, Tian Ke, Lifeng Yang, Zhaoqiang Zhang, Xili Cui, Zongbi Bao, Qilong Ren, Qiwei Yang, Huabin Xing|2020|Angew.Chem.,Int.Ed.|59|3423|doi:10.1002/anie.201913245
DOI: 10.5517/ccdc.csd.cc21mh39
title: CCDC 1895560: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Dolgopolova,  Anna A. Berseneva,  Martín S. Faillace,  Otega A. Ejegbavwo,  Gabrielle A. Leith,  Seok W. Choi,  Haley N. Gregory,  Allison M. Rice,  Mark D. Smith,  Maksymilian Chruszcz,  Sophya Garashchuk,  Karthikeyan Mythreye,  Natalia B. Shustova|2020|J.Am.Chem.Soc.|142|4769|doi:10.1021/jacs.9b13505
DOI: 10.5517/ccdc.csd.cc21mh4b
title: CCDC 1895561: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Dolgopolova,  Anna A. Berseneva,  Martín S. Faillace,  Otega A. Ejegbavwo,  Gabrielle A. Leith,  Seok W. Choi,  Haley N. Gregory,  Allison M. Rice,  Mark D. Smith,  Maksymilian Chruszcz,  Sophya Garashchuk,  Karthikeyan Mythreye,  Natalia B. Shustova|2020|J.Am.Chem.Soc.|142|4769|doi:10.1021/jacs.9b13505
DOI: 10.5517/ccdc.csd.cc21mh6d
title: CCDC 1895563: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Dolgopolova,  Anna A. Berseneva,  Martín S. Faillace,  Otega A. Ejegbavwo,  Gabrielle A. Leith,  Seok W. Choi,  Haley N. Gregory,  Allison M. Rice,  Mark D. Smith,  Maksymilian Chruszcz,  Sophya Garashchuk,  Karthikeyan Mythreye,  Natalia B. Shustova|2020|J.Am.Chem.Soc.|142|4769|doi:10.1021/jacs.9b13505
DOI: 10.5517/ccdc.csd.cc21mh7f
title: CCDC 1895564: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Dolgopolova,  Anna A. Berseneva,  Martín S. Faillace,  Otega A. Ejegbavwo,  Gabrielle A. Leith,  Seok W. Choi,  Haley N. Gregory,  Allison M. Rice,  Mark D. Smith,  Maksymilian Chruszcz,  Sophya Garashchuk,  Karthikeyan Mythreye,  Natalia B. Shustova|2020|J.Am.Chem.Soc.|142|4769|doi:10.1021/jacs.9b13505
DOI: 10.5517/ccdc.csd.cc21t1fc
title: CCDC 1900902: Experimental Crystal Structure Determination

description: Related Article: Xianghe Meng,  Fei Liang,  Jian Tang,  Kaijin Kang,  Qian Huang,  Wenlong Yin,  Zheshuai Lin, Mingjun Xia|2019|Eur.J.Inorg.Chem.|2019|2791|doi:10.1002/ejic.201900357
DOI: 10.5517/ccdc.csd.cc21xzkj
title: CCDC 1904688: Experimental Crystal Structure Determination

description: Related Article: Christoph Kahrs,  Marc Schmidtmann,  Mathias Wickleder, Jens Christoffers|2019|Eur.J.Inorg.Chem.|2019|2781|doi:10.1002/ejic.201900520
DOI: 10.5517/ccdc.csd.cc21xzlk
title: CCDC 1904689: Experimental Crystal Structure Determination

description: Related Article: Christoph Kahrs,  Marc Schmidtmann,  Mathias Wickleder, Jens Christoffers|2019|Eur.J.Inorg.Chem.|2019|2781|doi:10.1002/ejic.201900520
DOI: 10.5517/ccdc.csd.cc21xzml
title: CCDC 1904690: Experimental Crystal Structure Determination

description: Related Article: Christoph Kahrs,  Marc Schmidtmann,  Mathias Wickleder, Jens Christoffers|2019|Eur.J.Inorg.Chem.|2019|2781|doi:10.1002/ejic.201900520