cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6973769.v1
title: Lifestyle and demographic factors associated with human semen quality and sperm function

description: In this study, we sought to investigate the effect of lifestyle and demographic factors on classic and functional semen parameters. Three hundred and twenty-eight subjects who underwent semen analysis were recruited. Routine SA, sperm vitality, acrosome reaction (AR) assay and sperm DNA fragmentation index (DFI) were analyzed. Demographic and lifestyle information, including (1) BMI, (2) current smoking and alcohol drinking frequency, (3) sleep habits, (4) daily fluid intake, (5) weekly meat intake, (6) sports frequency, (7) trouser cell phone use, (8) age, and (9) abstinence time, were collected. Generalized additive models were used to analyze the possible non-linear association. The results showed that total sperm count (TSC) was significantly associated with age (<i>P</i> = 0.001), abstinence time (<i>P</i> = 0.001) and daily coffee intake (<i>P</i> = 0.044). Semen volume was significantly associated with age (<i>P</i> &lt; 0.001) and daily coffee intake (<i>P</i> &lt; 0.001). Sperm concentration was significantly associated with abstinence time (<i>P</i> = 0.011) and average sleep duration (<i>P</i> = 0.010). Sperm motility was significantly associated with age (<i>P</i> = 0.002) and daily juice intake (<i>P</i> = 0.001). Total motile sperm count was significantly associated with age (<i>P</i> = 0.003) and abstinence time (<i>P</i> = 0.009). DFI was significantly associated with age (<i>P</i> = 0.002), irregular sleeping habit (<i>P</i> = 0.008) and abstinence time (<i>P</i> = 0.032). The percentage of AR sperm was significantly associated with daily juice intake (<i>P</i> = 0.013). In conclusion, DFI and TSC were the most sensitive semen parameters for demographic and lifestyle features, whereas age had more influence on semen parameters than other demographic and lifestyle features. <b>Abbreviations</b>: BMI: body mass index; SA: semen analysis; AR: acrosome reaction; DFI: DNA fragmentation index; GAM: generalized additive model; TSC: total sperm count; TMC: total motile sperm count; IUI: intrauterine insemination; SCSA: sperm chromatin structure assay; SD: standard deviation; IQR: interquartile range; CBAVD: congenital bilateral absence of vas deferens; NEQAS: national external quality assessment service; HTF: human tubal fluid; HSA: human serum albumin.
DOI: 10.6084/m9.figshare.6973751
title: The view from within: a curatorial account of the rise and fall of visits to London museums from 1851–2016. A research note

description: This note addresses two questions: what comparing patterns of attendance at a group of museums and art galleries since 1851 might reveal? and how might the museums themselves have explained those figures? This note considers the rises and falls of visit numbers amongst a sample of 15 London museums over a 160-year period, and how the institutions themselves perceived those figures. The data used here were gathered from the museums’ published annual reports and internal documents, including daybooks and memos. Their presentation here introduces readers to an exceptionally long time series, and to the conventionally neglected voices of museums’ managers, whose circumstances and attitudes informed those museums’ management. These notes show that certain external factors affected simultaneous rises and falls in the majority of museums’ figures across the sample, although there were always exceptions. Some trends are revealed as general tendencies over a number of years. Discrete internal factors, such as temporary closures and exhibitions create peaks and troughs at individual institutions.
DOI: 10.6084/m9.figshare.6973751.v1
title: The view from within: a curatorial account of the rise and fall of visits to London museums from 1851–2016. A research note

description: This note addresses two questions: what comparing patterns of attendance at a group of museums and art galleries since 1851 might reveal? and how might the museums themselves have explained those figures? This note considers the rises and falls of visit numbers amongst a sample of 15 London museums over a 160-year period, and how the institutions themselves perceived those figures. The data used here were gathered from the museums’ published annual reports and internal documents, including daybooks and memos. Their presentation here introduces readers to an exceptionally long time series, and to the conventionally neglected voices of museums’ managers, whose circumstances and attitudes informed those museums’ management. These notes show that certain external factors affected simultaneous rises and falls in the majority of museums’ figures across the sample, although there were always exceptions. Some trends are revealed as general tendencies over a number of years. Discrete internal factors, such as temporary closures and exhibitions create peaks and troughs at individual institutions.
DOI: 10.6084/m9.figshare.6973733
title: Sonifying data uncertainty with sound dimensions

description: The communication of data uncertainty is a crucial problem in data science, information visualization, and geographic information science (GIScience). Effective ways to communicate the uncertainty of data enables data consumers to interpret the data as intended by the producer, reducing the possibilities of misinterpretation. In this article, we report on an empirical investigation of how sound can be used to convey information about data uncertainty in an intuitive way. To answer the research question <i>How intuitive are sound dimensions to communicate uncertainty?</i> we carry out a cognitive experiment, where participants were asked to interpret the certainty/uncertainty level in two sounds A and B (<i>N </i>= 33). We produce sound stimuli by varying sound dimensions, including loudness, duration, location, pitch, register, attack, decay, rate of change, noise, timbre, clarity, order, and harmony. In the stimuli, both synthetic and natural sounds are used to allow comparison. The experiment results identify three sound dimensions (loudness, order, and clarity) as significantly more intuitive to communicate uncertainty, providing guidelines for sonification and information visualization practitioners.
DOI: 10.6084/m9.figshare.6973733.v1
title: Sonifying data uncertainty with sound dimensions

description: The communication of data uncertainty is a crucial problem in data science, information visualization, and geographic information science (GIScience). Effective ways to communicate the uncertainty of data enables data consumers to interpret the data as intended by the producer, reducing the possibilities of misinterpretation. In this article, we report on an empirical investigation of how sound can be used to convey information about data uncertainty in an intuitive way. To answer the research question <i>How intuitive are sound dimensions to communicate uncertainty?</i> we carry out a cognitive experiment, where participants were asked to interpret the certainty/uncertainty level in two sounds A and B (<i>N </i>= 33). We produce sound stimuli by varying sound dimensions, including loudness, duration, location, pitch, register, attack, decay, rate of change, noise, timbre, clarity, order, and harmony. In the stimuli, both synthetic and natural sounds are used to allow comparison. The experiment results identify three sound dimensions (loudness, order, and clarity) as significantly more intuitive to communicate uncertainty, providing guidelines for sonification and information visualization practitioners.
DOI: 10.26180/5b750b5a6bf92
title: Panel Abstracts: XVI International Congress of Slavists 20-27 August 2018 University of Belgrade, Serbia : Panel Abstracts

description: <b>ABSTRACTS</b><br><b>The XVI International Congress of Slavists, Belgrade, 20-27 August 2018. <br></b><b><br></b> <b>Block Panel:</b> "Pripovjedne strategije, trendovi i struje u postjugoslovenskoj književnosti (hrvatskoj, srpksoj, bosansko-hercegovackoj, makedonskoj)"<br><br>“Narrative strategies, trends and currents in post-Yugoslav literature (Croatian, Serbian, Bosnian, Macedonian)”<br><br>1. Organiser: Slobodanka Vladiv-Glover (Monash U) (Australia) <br><br>2. Chair: István Ladányi (University of Pannonia, Veszprém), (Hungary) <br><br>3. Presenter: Dr Milan Orlic (Izd. Kuca “Mali Nemo”, Pancevo), (Serbia)<br><br>4. Presenter: Ivan Šunjić (Mostar, B&H)<br><br>5. Presenter: Tomislav Brlek (Odsjek za komparativnu književnost, University of Zagreb) (Croatia)<br><br>6. Presenter: Predrag Brebanović (Filološki fakultet, University of Belgrade) (Serbia)<br><br>7. Presenter: Dr Elena Popovska (Macedonian literature, University of Graz) (Austria)<br><br>8. Presenter: Adrijana Vidic (U of Zadar) (Croatia)<br><br><i>Extended versions of the above papers in English have been published in the international refereed online and print journal, Transcultural Studies: A Journal in Interdisciplinary Research, Vol 14. No 1. (2018), by Brill (Leiden) </i><i>www.brill.com/ts</i><br><br><br><br>
DOI: 10.6084/m9.figshare.6973706.v1
title: Matlab code of the optimal navigation (ON) model

description: Implementation of the optimal navigation (ON) model accompanying the paper 'Collective search with finite perception: transient dynamics and search efficiency' by Gosztolai et al., Frontiers in Physics (2018)<br><b>runON.m</b> runs the ON model in Matlab in various configurations and can be used to reproduce the results in the paper. The code has been written and tested in Matlab_R2017b. <br><b>ON1D.m </b>and <b>ON2D.m</b> are functions containing the 1D and 2D implementation of the ON model, which are called by runON.m<br><br>The <b>.avi</b> files contain simulations of the evolution in 2D for time horizons 5, 10, 100, 1000, as described in the paper.
DOI: 10.6084/m9.figshare.6973571
title: Additional file 4: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: Table S4. Discrimination of genomes (e.g., H, D, F, AB, E, R1, R2) or groups of genomes (e.g., E+R2, B+F, D+H) by 98 markers organized by their quality (from excellent to doable). Genomes that were discriminated by a marker as group, were indicated with a â +â sign in between, e.g., F+D. Some cell colors correspond to the ones used in Fig. 2 and 3. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.6973571.v1
title: Additional file 4: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: Table S4. Discrimination of genomes (e.g., H, D, F, AB, E, R1, R2) or groups of genomes (e.g., E+R2, B+F, D+H) by 98 markers organized by their quality (from excellent to doable). Genomes that were discriminated by a marker as group, were indicated with a â +â sign in between, e.g., F+D. Some cell colors correspond to the ones used in Fig. 2 and 3. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.6973565
title: Additional file 3: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: Table S3. List of markers, InDels and SSRs used from the literature. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.6973562
title: Additional file 2: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: Table S2. Primer sequences of the 288 SSRs developed in the present work. Number of alleles detected per marker, range of amplicon size, and BLAST2GO results for the sequences are also included. (XLSX 29 kb)
DOI: 10.6084/m9.figshare.6973565.v1
title: Additional file 3: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: Table S3. List of markers, InDels and SSRs used from the literature. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.6973562.v1
title: Additional file 2: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: Table S2. Primer sequences of the 288 SSRs developed in the present work. Number of alleles detected per marker, range of amplicon size, and BLAST2GO results for the sequences are also included. (XLSX 29 kb)
DOI: 10.6084/m9.figshare.6973553
title: Additional file 1: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: TableS1. BLAST results for 345 DNA sequences from which the markers were designed, using the Arachis duranensis and Arachis ipaĂŤnsis genomes as databases. (XLSX 106 kb)
DOI: 10.6084/m9.figshare.6973553.v1
title: Additional file 1: of New tools to screen wild peanut species for aflatoxin accumulation and genetic fingerprinting

description: TableS1. BLAST results for 345 DNA sequences from which the markers were designed, using the Arachis duranensis and Arachis ipaĂŤnsis genomes as databases. (XLSX 106 kb)
DOI: 10.6084/m9.figshare.6973544
title: Additional file 9: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations for random shuffled genes in cancer tissues and cell lines. (XLSX 613 kb)
DOI: 10.6084/m9.figshare.6973544.v1
title: Additional file 9: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations for random shuffled genes in cancer tissues and cell lines. (XLSX 613 kb)
DOI: 10.6084/m9.figshare.6973532
title: Additional file 8: of Systems level expression correlation of Ras GTPase regulators

description: Ratios and correlations of gene expression levels in cancer tissues and cell lines. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.6973532.v1
title: Additional file 8: of Systems level expression correlation of Ras GTPase regulators

description: Ratios and correlations of gene expression levels in cancer tissues and cell lines. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.6973526
title: Additional file 7: of Systems level expression correlation of Ras GTPase regulators

description: Classification of human normal tissues into groups of similar tissues, ratio of sum of RASGEF to sum of RASGAP ratios, and tissue turnover times. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6973526.v1
title: Additional file 7: of Systems level expression correlation of Ras GTPase regulators

description: Classification of human normal tissues into groups of similar tissues, ratio of sum of RASGEF to sum of RASGAP ratios, and tissue turnover times. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6973517
title: Additional file 6: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations across human individuals in normal adult tissues. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.6973517.v1
title: Additional file 6: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations across human individuals in normal adult tissues. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.6973502
title: Additional file 5: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations for random shuffled genes in adult tissues. (XLSX 8257 kb)
DOI: 10.6084/m9.figshare.6973502.v1
title: Additional file 5: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations for random shuffled genes in adult tissues. (XLSX 8257 kb)
DOI: 10.6084/m9.figshare.6973490
title: Additional file 4: of Systems level expression correlation of Ras GTPase regulators

description: Ratios and correlations in human adult tissues. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.6973490.v1
title: Additional file 4: of Systems level expression correlation of Ras GTPase regulators

description: Ratios and correlations in human adult tissues. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.6973478
title: Additional file 3: of Systems level expression correlation of Ras GTPase regulators

description: RAS members and GEF and GAP regulators. (XLSX 83 kb)
DOI: 10.6084/m9.figshare.6973478.v1
title: Additional file 3: of Systems level expression correlation of Ras GTPase regulators

description: RAS members and GEF and GAP regulators. (XLSX 83 kb)
DOI: 10.6084/m9.figshare.6973463
title: Additional file 2: of Systems level expression correlation of Ras GTPase regulators

description: Protein expression levels and correlations in organisms and normal tissues. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.6973463.v1
title: Additional file 2: of Systems level expression correlation of Ras GTPase regulators

description: Protein expression levels and correlations in organisms and normal tissues. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.6973448
title: Additional file 1: of Treatment of non-odontogenic orofacial pain using botulinum toxin-A: a retrospective case series study

description: Case form and result of data. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6973448.v1
title: Additional file 1: of Treatment of non-odontogenic orofacial pain using botulinum toxin-A: a retrospective case series study

description: Case form and result of data. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6973442
title: Additional file 12: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations in cancer tissues according to tumor stages. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6973442.v1
title: Additional file 12: of Systems level expression correlation of Ras GTPase regulators

description: Gene expression correlations in cancer tissues according to tumor stages. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6973436
title: Additional file 2: of Exosomes derived from mesenchymal stem cells enhance radiotherapy-induced cell death in tumor and metastatic tumor foci

description: Figure S1. (a) Tumor growth kinetics and response to radiotherapy administered twice-a-week alone or in combination with simultaneous MSC* injection. The combination of radiotherapy and MSC* reduced tumor growth rate more than radiotherapy alone did. (b) Calculated time to tumor growth (T-t-G) for each group. As a result of the reduction on tumor growth kinetics, tumors from the group receiving the combination of RT + MSC* would need more days to reach 2,0 ml. 3. What do the authors mean by MSC* + RT in Fig. S1. The notation (MSC* + RT) means: MSC*: in vitro activated (2 Gy of low-LET (lineal energy transfer) radiation) mesenchymal cells were administered intraperitoneally; RT: 2 h after MSC* injection tumors were treated locally with radiotherapy (RT, 2Gy). This combined treatment was repeated every 4 days during a total of 24 days. Figure S2. mRNA expression of TRAIL, DKK3 and ANXA1 by MSCs 24 and 48 h after receiving 2 Gy of radiation. The overexpression of TRAIL and DKK3 is consistent with our previous study [22], the ANXA1 overexpression is consistent with the presence of the protein form inside the MSC* exosomes. (ZIP 1301 kb)
DOI: 10.6084/m9.figshare.6973433
title: Additional file 8: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs both HN and HD. (XLS 68 kb)
DOI: 10.6084/m9.figshare.6973436.v1
title: Additional file 2: of Exosomes derived from mesenchymal stem cells enhance radiotherapy-induced cell death in tumor and metastatic tumor foci

description: Figure S1. (a) Tumor growth kinetics and response to radiotherapy administered twice-a-week alone or in combination with simultaneous MSC* injection. The combination of radiotherapy and MSC* reduced tumor growth rate more than radiotherapy alone did. (b) Calculated time to tumor growth (T-t-G) for each group. As a result of the reduction on tumor growth kinetics, tumors from the group receiving the combination of RT + MSC* would need more days to reach 2,0 ml. 3. What do the authors mean by MSC* + RT in Fig. S1. The notation (MSC* + RT) means: MSC*: in vitro activated (2 Gy of low-LET (lineal energy transfer) radiation) mesenchymal cells were administered intraperitoneally; RT: 2 h after MSC* injection tumors were treated locally with radiotherapy (RT, 2Gy). This combined treatment was repeated every 4 days during a total of 24 days. Figure S2. mRNA expression of TRAIL, DKK3 and ANXA1 by MSCs 24 and 48 h after receiving 2 Gy of radiation. The overexpression of TRAIL and DKK3 is consistent with our previous study [22], the ANXA1 overexpression is consistent with the presence of the protein form inside the MSC* exosomes. (ZIP 1301 kb)
DOI: 10.6084/m9.figshare.6973430
title: Additional file 11: of Systems level expression correlation of Ras GTPase regulators

description: Slopes and correlations of sum of RASGEF versus sum of RASGAP gene expression levels in normal versus cancer tissues. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.6973433.v1
title: Additional file 8: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs both HN and HD. (XLS 68 kb)
DOI: 10.6084/m9.figshare.6973430.v1
title: Additional file 11: of Systems level expression correlation of Ras GTPase regulators

description: Slopes and correlations of sum of RASGEF versus sum of RASGAP gene expression levels in normal versus cancer tissues. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.6973415
title: Additional file 1: of Exosomes derived from mesenchymal stem cells enhance radiotherapy-induced cell death in tumor and metastatic tumor foci

description: Significant biological process terms from REVIGO (Reduce + visualize gene ontology). (XLS 51 kb)
DOI: 10.6084/m9.figshare.6973418
title: Additional file 10: of Systems level expression correlation of Ras GTPase regulators

description: Sum of RASGEF versus sum of RASGAP gene expression levels for human individuals in adult tissues and cancer tissues. (XLSX 296 kb)
DOI: 10.6084/m9.figshare.6973415.v1
title: Additional file 1: of Exosomes derived from mesenchymal stem cells enhance radiotherapy-induced cell death in tumor and metastatic tumor foci

description: Significant biological process terms from REVIGO (Reduce + visualize gene ontology). (XLS 51 kb)
DOI: 10.6084/m9.figshare.6973418.v1
title: Additional file 10: of Systems level expression correlation of Ras GTPase regulators

description: Sum of RASGEF versus sum of RASGAP gene expression levels for human individuals in adult tissues and cancer tissues. (XLSX 296 kb)
DOI: 10.6084/m9.figshare.6973409
title: Additional file 7: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs HD. (XLS 97 kb)
DOI: 10.6084/m9.figshare.6973409.v1
title: Additional file 7: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs HD. (XLS 97 kb)
DOI: 10.6084/m9.figshare.6973400
title: Additional file 6: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs HN. (XLS 132 kb)
DOI: 10.6084/m9.figshare.6973400.v1
title: Additional file 6: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs HN. (XLS 132 kb)
DOI: 10.6084/m9.figshare.6973382
title: Additional file 5: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs chimp. (XLS 485 kb)
DOI: 10.6084/m9.figshare.6973382.v1
title: Additional file 5: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated AMH-specific RIs vs chimp. (XLS 485 kb)
DOI: 10.6084/m9.figshare.6973367
title: Additional file 4: of Impact of non-LTR retrotransposons in the differentiation and evolution of anatomically modern humans

description: List of all identified and validated HD-specific RIs. (XLS 63 kb)